From a484d49128e110d5ca6fc09bdf3d235acf5b019d Mon Sep 17 00:00:00 2001 From: Tuan-Dat Tran Date: Thu, 28 Nov 2024 15:21:56 +0100 Subject: [PATCH] fix(simulation): enhance client request process with progress tracking and refine metrics computation - Added `tqdm` progress bar to track simulation progress in real-time. - Improved computation of hit rates and average ages for better accuracy. - Updated data export logic for clearer output and better insights. Reran Experiments Signed-off-by: Tuan-Dat Tran --- aoi_cache_experiment_eval.ipynb | 155 +- aoi_cache_simulation.ipynb | 656 +-- experiments/No_Refresh_0_5s_ttl/details.csv | 199 +- experiments/No_Refresh_0_5s_ttl/hit_age.csv | 200 +- .../lambda_distribution.pdf | Bin 11740 -> 11391 bytes .../lambda_vs_access_count.pdf | Bin 12855 -> 11434 bytes .../objects_in_cache_over_time.pdf | Bin 14667 -> 14657 bytes .../No_Refresh_0_5s_ttl/overall_hit_age.csv | 14 +- experiments/No_Refresh_1_0s_ttl/details.csv | 199 +- experiments/No_Refresh_1_0s_ttl/hit_age.csv | 200 +- .../lambda_distribution.pdf | Bin 11740 -> 11525 bytes .../lambda_vs_access_count.pdf | Bin 12855 -> 11703 bytes .../objects_in_cache_over_time.pdf | Bin 14813 -> 14809 bytes .../No_Refresh_1_0s_ttl/overall_hit_age.csv | 14 +- experiments/No_Refresh_2_0s_ttl/details.csv | 199 +- experiments/No_Refresh_2_0s_ttl/hit_age.csv | 200 +- .../lambda_distribution.pdf | Bin 11740 -> 11847 bytes .../lambda_vs_access_count.pdf | Bin 12855 -> 11722 bytes .../objects_in_cache_over_time.pdf | Bin 13808 -> 13691 bytes .../No_Refresh_2_0s_ttl/overall_hit_age.csv | 14 +- experiments/No_Refresh_3_0s_ttl/details.csv | 199 +- experiments/No_Refresh_3_0s_ttl/hit_age.csv | 200 +- .../lambda_distribution.pdf | Bin 11740 -> 11452 bytes .../lambda_vs_access_count.pdf | Bin 12855 -> 12219 bytes .../objects_in_cache_over_time.pdf | Bin 13757 -> 13648 bytes .../No_Refresh_3_0s_ttl/overall_hit_age.csv | 14 +- experiments/No_Refresh_4_0s_ttl/details.csv | 199 +- experiments/No_Refresh_4_0s_ttl/hit_age.csv | 200 +- .../lambda_distribution.pdf | Bin 11740 -> 11347 bytes .../lambda_vs_access_count.pdf | Bin 12855 -> 11467 bytes .../objects_in_cache_over_time.pdf | Bin 13764 -> 13803 bytes .../No_Refresh_4_0s_ttl/overall_hit_age.csv | 14 +- experiments/No_Refresh_5_0s_ttl/details.csv | 199 +- experiments/No_Refresh_5_0s_ttl/hit_age.csv | 200 +- .../lambda_distribution.pdf | Bin 11740 -> 11510 bytes .../lambda_vs_access_count.pdf | Bin 12855 -> 10818 bytes .../objects_in_cache_over_time.pdf | Bin 13765 -> 13824 bytes .../No_Refresh_5_0s_ttl/overall_hit_age.csv | 14 +- experiments/avg_ages.md | 16 +- experiments/hit_rates.md | 16 +- experiments/hr_and_age_vs_ttl.png | Bin 38699 -> 38251 bytes multi_aoi_cache_simulation.ipynb | 3878 +++++++++++++++-- temp.csv | 100 - 43 files changed, 5132 insertions(+), 2167 deletions(-) delete mode 100644 temp.csv diff --git a/aoi_cache_experiment_eval.ipynb b/aoi_cache_experiment_eval.ipynb index cacdc15..61ed7bd 100644 --- a/aoi_cache_experiment_eval.ipynb +++ b/aoi_cache_experiment_eval.ipynb @@ -65,17 +65,17 @@ "data": { "text/plain": [ "[{'ttl': '0.5s',\n", - " 'data': {'hit_rate': 0.458669533255314, 'avg_age': 0.2405818161600988}},\n", + " 'data': {'hit_rate': 0.430005715813995, 'avg_age': 0.2470001848592891}},\n", " {'ttl': '1.0s',\n", - " 'data': {'hit_rate': 0.6137075818807132, 'avg_age': 0.4914356220831488}},\n", + " 'data': {'hit_rate': 0.6021783585155782, 'avg_age': 0.5064424317967045}},\n", " {'ttl': '2.0s',\n", - " 'data': {'hit_rate': 0.7510045829957603, 'avg_age': 1.0028764694071644}},\n", + " 'data': {'hit_rate': 0.725968336902936, 'avg_age': 0.9978844102920912}},\n", " {'ttl': '3.0s',\n", - " 'data': {'hit_rate': 0.8151181771596068, 'avg_age': 1.486159537458237}},\n", + " 'data': {'hit_rate': 0.804885219000722, 'avg_age': 1.4954901146744557}},\n", " {'ttl': '4.0s',\n", - " 'data': {'hit_rate': 0.8521008724556234, 'avg_age': 1.9920411130528224}},\n", + " 'data': {'hit_rate': 0.8423156495596558, 'avg_age': 1.9739537134378724}},\n", " {'ttl': '5.0s',\n", - " 'data': {'hit_rate': 0.877309770620863, 'avg_age': 2.4590330715633857}}]" + " 'data': {'hit_rate': 0.8761406920218441, 'avg_age': 2.483419694203133}}]" ] }, "execution_count": 4, @@ -102,7 +102,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -145,17 +145,38 @@ { "cell_type": "code", "execution_count": 6, - "id": "58a7865b-6ce6-4960-8dc5-c926d5463949", + "id": "c4a8220e-9a21-42db-889a-26d901672f5e", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "['0.5s', '1.0s', '2.0s', '3.0s', '4.0s', '5.0s']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "pd.DataFrame(hit_rates, columns=[\"hit_rates\"]).to_markdown('./experiments/hit_rates.md')\n", - "pd.DataFrame(avg_ages, columns=[\"avg_ages\"]).to_markdown('./experiments/avg_ages.md')" + "ttls" ] }, { "cell_type": "code", "execution_count": 7, + "id": "58a7865b-6ce6-4960-8dc5-c926d5463949", + "metadata": {}, + "outputs": [], + "source": [ + "pd.DataFrame(hit_rates, columns=[\"hit_rates\"], index=ttls).to_markdown('./experiments/hit_rates.md')\n", + "pd.DataFrame(avg_ages, columns=[\"avg_ages\"], index=ttls).to_markdown('./experiments/avg_ages.md')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, "id": "a92dcf86-d0ae-4f5c-937f-aeac45ac0dea", "metadata": {}, "outputs": [], @@ -166,7 +187,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "0ffb1366-83ea-49ab-83ca-945ed993ef3f", "metadata": {}, "outputs": [ @@ -181,7 +202,7 @@ " './experiments/No_Refresh_5_0s_ttl/details.csv']" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -192,7 +213,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "id": "6e48f78f-15a3-4788-8ac9-6ad1fabbee26", "metadata": {}, "outputs": [ @@ -240,45 +261,45 @@ " 1\n", " 1\n", " 1\n", - " 1\n", + " 2\n", " 1\n", " 1\n", " \n", " \n", " 2\n", + " 5\n", + " 1\n", " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", - " 3\n", + " 1\n", + " 1\n", + " 1\n", " \n", " \n", " 3\n", " 1\n", " 1\n", " 1\n", + " 2\n", " 1\n", - " 1\n", - " 1\n", + " 3\n", " \n", " \n", " 4\n", " 1\n", " 1\n", " 1\n", + " 14\n", " 1\n", - " 1\n", - " 1\n", + " 20\n", " \n", " \n", " 5\n", + " 1\n", " 2\n", + " 1\n", " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 1\n", + " 1\n", " \n", " \n", " ...\n", @@ -290,15 +311,6 @@ " ...\n", " \n", " \n", - " 95\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", - " \n", - " \n", " 96\n", " 1\n", " 1\n", @@ -310,54 +322,63 @@ " \n", " 97\n", " 1\n", + " 4\n", " 1\n", " 1\n", - " 1\n", - " 1\n", - " 1\n", + " 2\n", + " 5\n", " \n", " \n", " 98\n", - " 37\n", - " 37\n", - " 37\n", - " 37\n", - " 37\n", - " 37\n", + " 3\n", + " 1\n", + " 2\n", + " 5\n", + " 3\n", + " 1\n", " \n", " \n", " 99\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", - " 4\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " 3\n", + " \n", + " \n", + " 100\n", + " 2\n", + " 2\n", + " 3\n", + " 13\n", + " 1\n", + " 1\n", " \n", " \n", "\n", - "

99 rows × 6 columns

\n", + "

100 rows × 6 columns

\n", "" ], "text/plain": [ " 0.5s 1.0s 2.0s 3.0s 4.0s 5.0s\n", "obj_id \n", - "1 1 1 1 1 1 1\n", - "2 3 3 3 3 3 3\n", - "3 1 1 1 1 1 1\n", - "4 1 1 1 1 1 1\n", - "5 2 2 2 2 2 2\n", + "1 1 1 1 2 1 1\n", + "2 5 1 3 1 1 1\n", + "3 1 1 1 2 1 3\n", + "4 1 1 1 14 1 20\n", + "5 1 2 1 2 1 1\n", "... ... ... ... ... ... ...\n", - "95 2 2 2 2 2 2\n", "96 1 1 1 1 1 1\n", - "97 1 1 1 1 1 1\n", - "98 37 37 37 37 37 37\n", - "99 4 4 4 4 4 4\n", + "97 1 4 1 1 2 5\n", + "98 3 1 2 5 3 1\n", + "99 1 1 1 1 1 3\n", + "100 2 2 3 13 1 1\n", "\n", - "[99 rows x 6 columns]" + "[100 rows x 6 columns]" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -368,17 +389,17 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "id": "3e0ddc4a-bede-4921-8ce8-427ef028e19e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "43375" + "30862" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } diff --git a/aoi_cache_simulation.ipynb b/aoi_cache_simulation.ipynb index d09a13e..98bdb1b 100644 --- a/aoi_cache_simulation.ipynb +++ b/aoi_cache_simulation.ipynb @@ -15,6 +15,7 @@ "from enum import Enum\n", "import os\n", "import shutil\n", + "from tqdm import tqdm\n", "\n", "# Types of cache\n", "class CacheType(Enum):\n", @@ -104,7 +105,7 @@ " \"No Refresh (5.0s ttl)\": (DATABASE_OBJECTS, 0, CacheType.LRU, 5),\n", "}\n", "\n", - "experiment_name = \"No Refresh (0.5s ttl)\"\n", + "experiment_name = \"No Refresh (1.0s ttl)\"\n", "config = configurations[experiment_name]\n", "\n", "CACHE_CAPACITY = config[0]\n", @@ -267,7 +268,7 @@ " cache.next_refresh[obj_id] = env.now + np.random.exponential(1/cache.db.mu_values[obj_id])\n", " \n", " cache.record_cache_state() # Record cache state at each time step\n", - " yield env.timeout(1) # Run every second\n" + " yield env.timeout(1) # Run every second" ] }, { @@ -280,22 +281,24 @@ "def client_request_process(env, cache, event):\n", " \"\"\"Client process that makes requests for objects from the cache.\"\"\"\n", " last_print = 0\n", - " while True:\n", - " obj_id, next_request = min(cache.db.next_request.items(), key=lambda x: x[1])\n", - " yield env.timeout(next_request - env.now)\n", - " if env.now >= next_request:\n", - " # print(f\"[{env.now:.2f}] Client: Requesting object {obj_id}\")\n", - " cache.get(obj_id)\n", - " \n", - " # print(f\"[{env.now:.2f}] Client: Schedule next request for {obj_id}\")\n", - " next_request = env.now + np.random.exponential(1/cache.db.lambda_values[obj_id])\n", - " cache.request_log[obj_id].append(next_request)\n", - " cache.db.next_request[obj_id] = next_request\n", - " if all(access_count >= ACCESS_COUNT_LIMIT for access_count in cache.access_count.values()):\n", - " event.succeed()\n", - " if (int(env.now) % 5) == 0 and int(env.now) != last_print:\n", - " print(f\"[{env.now:.2f}] Client: Least accessed object was accessed {min(cache.access_count.values())} times.\")\n", - " last_print = int(env.now)" + " with tqdm(total=ACCESS_COUNT_LIMIT, desc=\"Progress\", leave=True) as pbar:\n", + " while True:\n", + " obj_id, next_request = min(cache.db.next_request.items(), key=lambda x: x[1])\n", + " yield env.timeout(next_request - env.now)\n", + " if (int(env.now) % 1) == 0 and int(env.now) != last_print:\n", + " last_print = int(env.now)\n", + " pbar.n = min(cache.access_count.values())\n", + " pbar.refresh()\n", + " if env.now >= next_request:\n", + " # print(f\"[{env.now:.2f}] Client: Requesting object {obj_id}\")\n", + " cache.get(obj_id)\n", + " \n", + " # print(f\"[{env.now:.2f}] Client: Schedule next request for {obj_id}\")\n", + " next_request = env.now + np.random.exponential(1/cache.db.lambda_values[obj_id])\n", + " cache.request_log[obj_id].append(next_request)\n", + " cache.db.next_request[obj_id] = next_request\n", + " if all(access_count >= ACCESS_COUNT_LIMIT for access_count in cache.access_count.values()):\n", + " event.succeed()" ] }, { @@ -321,223 +324,19 @@ "scrolled": true }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Progress: 99%|██████████████████████████████████████████████████████████████████████████████████████████ | 99/100 [00:00<00:00, 142.68it/s]" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "[5.00] Client: Least accessed object was accessed 1 times.\n", - "[10.00] Client: Least accessed object was accessed 2 times.\n", - "[15.00] Client: Least accessed object was accessed 8 times.\n", - "[20.00] Client: Least accessed object was accessed 13 times.\n", - "[25.00] Client: Least accessed object was accessed 18 times.\n", - "[30.01] Client: Least accessed object was accessed 22 times.\n", - "[35.00] Client: Least accessed object was accessed 27 times.\n", - "[40.00] Client: Least accessed object was accessed 30 times.\n", - "[45.00] Client: Least accessed object was accessed 37 times.\n", - "[50.00] Client: Least accessed object was accessed 40 times.\n", - "[55.00] Client: Least accessed object was accessed 42 times.\n", - "[60.00] Client: Least accessed object was accessed 48 times.\n", - "[65.00] Client: Least accessed object was accessed 51 times.\n", - "[70.00] Client: Least accessed object was accessed 55 times.\n", - "[75.02] Client: Least accessed object was accessed 57 times.\n", - "[80.00] Client: Least accessed object was accessed 64 times.\n", - "[85.00] Client: Least accessed object was accessed 67 times.\n", - "[90.00] Client: Least accessed object was accessed 69 times.\n", - "[95.01] Client: Least accessed object was accessed 73 times.\n", - "[100.00] Client: Least accessed object was accessed 80 times.\n", - "[105.00] Client: Least accessed object was accessed 84 times.\n", - "[110.00] Client: Least accessed object was accessed 89 times.\n", - "[115.00] Client: Least accessed object was accessed 95 times.\n", - "[120.00] Client: Least accessed object was accessed 98 times.\n", - "[125.00] Client: Least accessed object was accessed 102 times.\n", - "[130.01] Client: Least accessed object was accessed 106 times.\n", - "[135.00] Client: Least accessed object was accessed 108 times.\n", - "[140.00] Client: Least accessed object was accessed 112 times.\n", - "[145.00] Client: Least accessed object was accessed 117 times.\n", - "[150.00] Client: Least accessed object was accessed 123 times.\n", - "[155.00] Client: Least accessed object was accessed 126 times.\n", - "[160.00] Client: Least accessed object was accessed 134 times.\n", - "[165.00] Client: Least accessed object was accessed 141 times.\n", - "[170.00] Client: Least accessed object was accessed 143 times.\n", - "[175.00] Client: Least accessed object was accessed 148 times.\n", - "[180.01] Client: Least accessed object was accessed 154 times.\n", - "[185.00] Client: Least accessed object was accessed 156 times.\n", - "[190.00] Client: Least accessed object was accessed 158 times.\n", - "[195.00] Client: Least accessed object was accessed 160 times.\n", - "[200.00] Client: Least accessed object was accessed 168 times.\n", - "[205.01] Client: Least accessed object was accessed 176 times.\n", - "[210.00] Client: Least accessed object was accessed 178 times.\n", - "[215.00] Client: Least accessed object was accessed 185 times.\n", - "[220.00] Client: Least accessed object was accessed 189 times.\n", - "[225.00] Client: Least accessed object was accessed 194 times.\n", - "[230.00] Client: Least accessed object was accessed 198 times.\n", - "[235.00] Client: Least accessed object was accessed 203 times.\n", - "[240.00] Client: Least accessed object was accessed 208 times.\n", - "[245.00] Client: Least accessed object was accessed 213 times.\n", - "[250.00] Client: Least accessed object was accessed 221 times.\n", - "[255.01] Client: Least accessed object was accessed 229 times.\n", - "[260.00] Client: Least accessed object was accessed 233 times.\n", - "[265.00] Client: Least accessed object was accessed 237 times.\n", - "[270.00] Client: Least accessed object was accessed 241 times.\n", - "[275.00] Client: Least accessed object was accessed 246 times.\n", - "[280.00] Client: Least accessed object was accessed 251 times.\n", - "[285.00] Client: Least accessed object was accessed 255 times.\n", - "[290.00] Client: Least accessed object was accessed 257 times.\n", - "[295.01] Client: Least accessed object was accessed 261 times.\n", - "[300.00] Client: Least accessed object was accessed 267 times.\n", - "[305.00] Client: Least accessed object was accessed 270 times.\n", - "[310.00] Client: Least accessed object was accessed 278 times.\n", - "[315.00] Client: Least accessed object was accessed 285 times.\n", - "[320.00] Client: Least accessed object was accessed 285 times.\n", - "[325.00] Client: Least accessed object was accessed 291 times.\n", - "[330.00] Client: Least accessed object was accessed 293 times.\n", - "[335.00] Client: Least accessed object was accessed 302 times.\n", - "[340.00] Client: Least accessed object was accessed 303 times.\n", - "[345.00] Client: Least accessed object was accessed 306 times.\n", - "[350.00] Client: Least accessed object was accessed 312 times.\n", - "[355.00] Client: Least accessed object was accessed 315 times.\n", - "[360.00] Client: Least accessed object was accessed 322 times.\n", - "[365.00] Client: Least accessed object was accessed 325 times.\n", - "[370.01] Client: Least accessed object was accessed 332 times.\n", - "[375.00] Client: Least accessed object was accessed 335 times.\n", - "[380.00] Client: Least accessed object was accessed 342 times.\n", - "[385.00] Client: Least accessed object was accessed 344 times.\n", - "[390.00] Client: Least accessed object was accessed 346 times.\n", - "[395.00] Client: Least accessed object was accessed 350 times.\n", - "[400.00] Client: Least accessed object was accessed 354 times.\n", - "[405.00] Client: Least accessed object was accessed 359 times.\n", - "[410.00] Client: Least accessed object was accessed 362 times.\n", - "[415.01] Client: Least accessed object was accessed 363 times.\n", - "[420.00] Client: Least accessed object was accessed 365 times.\n", - "[425.00] Client: Least accessed object was accessed 370 times.\n", - "[430.01] Client: Least accessed object was accessed 376 times.\n", - "[435.00] Client: Least accessed object was accessed 383 times.\n", - "[440.00] Client: Least accessed object was accessed 389 times.\n", - "[445.00] Client: Least accessed object was accessed 390 times.\n", - "[450.00] Client: Least accessed object was accessed 394 times.\n", - "[455.00] Client: Least accessed object was accessed 402 times.\n", - "[460.00] Client: Least accessed object was accessed 406 times.\n", - "[465.01] Client: Least accessed object was accessed 417 times.\n", - "[470.00] Client: Least accessed object was accessed 421 times.\n", - "[475.00] Client: Least accessed object was accessed 422 times.\n", - "[480.00] Client: Least accessed object was accessed 429 times.\n", - "[485.00] Client: Least accessed object was accessed 437 times.\n", - "[490.00] Client: Least accessed object was accessed 442 times.\n", - "[495.00] Client: Least accessed object was accessed 447 times.\n", - "[500.00] Client: Least accessed object was accessed 453 times.\n", - "[505.00] Client: Least accessed object was accessed 456 times.\n", - "[510.00] Client: Least accessed object was accessed 459 times.\n", - "[515.01] Client: Least accessed object was accessed 464 times.\n", - "[520.01] Client: Least accessed object was accessed 468 times.\n", - "[525.00] Client: Least accessed object was accessed 475 times.\n", - "[530.00] Client: Least accessed object was accessed 478 times.\n", - "[535.01] Client: Least accessed object was accessed 482 times.\n", - "[540.00] Client: Least accessed object was accessed 493 times.\n", - "[545.00] Client: Least accessed object was accessed 496 times.\n", - "[550.00] Client: Least accessed object was accessed 501 times.\n", - "[555.00] Client: Least accessed object was accessed 506 times.\n", - "[560.00] Client: Least accessed object was accessed 512 times.\n", - "[565.00] Client: Least accessed object was accessed 518 times.\n", - "[570.01] Client: Least accessed object was accessed 526 times.\n", - "[575.00] Client: Least accessed object was accessed 529 times.\n", - "[580.00] Client: Least accessed object was accessed 534 times.\n", - "[585.00] Client: Least accessed object was accessed 543 times.\n", - "[590.00] Client: Least accessed object was accessed 548 times.\n", - "[595.00] Client: Least accessed object was accessed 552 times.\n", - "[600.00] Client: Least accessed object was accessed 557 times.\n", - "[605.00] Client: Least accessed object was accessed 562 times.\n", - "[610.00] Client: Least accessed object was accessed 564 times.\n", - "[615.00] Client: Least accessed object was accessed 570 times.\n", - "[620.00] Client: Least accessed object was accessed 577 times.\n", - "[625.00] Client: Least accessed object was accessed 580 times.\n", - "[630.00] Client: Least accessed object was accessed 588 times.\n", - "[635.01] Client: Least accessed object was accessed 596 times.\n", - "[640.01] Client: Least accessed object was accessed 599 times.\n", - "[645.00] Client: Least accessed object was accessed 604 times.\n", - "[650.00] Client: Least accessed object was accessed 608 times.\n", - "[655.01] Client: Least accessed object was accessed 615 times.\n", - "[660.00] Client: Least accessed object was accessed 618 times.\n", - "[665.01] Client: Least accessed object was accessed 622 times.\n", - "[670.00] Client: Least accessed object was accessed 627 times.\n", - "[675.00] Client: Least accessed object was accessed 630 times.\n", - "[680.00] Client: Least accessed object was accessed 632 times.\n", - "[685.00] Client: Least accessed object was accessed 634 times.\n", - "[690.00] Client: Least accessed object was accessed 640 times.\n", - "[695.00] Client: Least accessed object was accessed 647 times.\n", - "[700.01] Client: Least accessed object was accessed 652 times.\n", - "[705.00] Client: Least accessed object was accessed 655 times.\n", - "[710.00] Client: Least accessed object was accessed 659 times.\n", - "[715.00] Client: Least accessed object was accessed 663 times.\n", - "[720.00] Client: Least accessed object was accessed 664 times.\n", - "[725.00] Client: Least accessed object was accessed 669 times.\n", - "[730.00] Client: Least accessed object was accessed 679 times.\n", - "[735.00] Client: Least accessed object was accessed 682 times.\n", - "[740.00] Client: Least accessed object was accessed 687 times.\n", - "[745.00] Client: Least accessed object was accessed 688 times.\n", - "[750.00] Client: Least accessed object was accessed 697 times.\n", - "[755.01] Client: Least accessed object was accessed 702 times.\n", - "[760.00] Client: Least accessed object was accessed 704 times.\n", - "[765.00] Client: Least accessed object was accessed 710 times.\n", - "[770.01] Client: Least accessed object was accessed 713 times.\n", - "[775.00] Client: Least accessed object was accessed 717 times.\n", - "[780.00] Client: Least accessed object was accessed 722 times.\n", - "[785.00] Client: Least accessed object was accessed 724 times.\n", - "[790.00] Client: Least accessed object was accessed 726 times.\n", - "[795.01] Client: Least accessed object was accessed 731 times.\n", - "[800.01] Client: Least accessed object was accessed 739 times.\n", - "[805.00] Client: Least accessed object was accessed 741 times.\n", - "[810.01] Client: Least accessed object was accessed 746 times.\n", - "[815.00] Client: Least accessed object was accessed 752 times.\n", - "[820.00] Client: Least accessed object was accessed 757 times.\n", - "[825.00] Client: Least accessed object was accessed 761 times.\n", - "[830.00] Client: Least accessed object was accessed 765 times.\n", - "[835.00] Client: Least accessed object was accessed 767 times.\n", - "[840.00] Client: Least accessed object was accessed 775 times.\n", - "[845.00] Client: Least accessed object was accessed 784 times.\n", - "[850.00] Client: Least accessed object was accessed 788 times.\n", - "[855.00] Client: Least accessed object was accessed 792 times.\n", - "[860.00] Client: Least accessed object was accessed 795 times.\n", - "[865.01] Client: Least accessed object was accessed 799 times.\n", - "[870.00] Client: Least accessed object was accessed 803 times.\n", - "[875.00] Client: Least accessed object was accessed 809 times.\n", - "[880.00] Client: Least accessed object was accessed 812 times.\n", - "[885.00] Client: Least accessed object was accessed 816 times.\n", - "[890.00] Client: Least accessed object was accessed 821 times.\n", - "[895.00] Client: Least accessed object was accessed 830 times.\n", - "[900.00] Client: Least accessed object was accessed 837 times.\n", - "[905.00] Client: Least accessed object was accessed 841 times.\n", - "[910.00] Client: Least accessed object was accessed 847 times.\n", - "[915.01] Client: Least accessed object was accessed 848 times.\n", - "[920.00] Client: Least accessed object was accessed 856 times.\n", - "[925.00] Client: Least accessed object was accessed 860 times.\n", - "[930.00] Client: Least accessed object was accessed 867 times.\n", - "[935.01] Client: Least accessed object was accessed 872 times.\n", - "[940.00] Client: Least accessed object was accessed 874 times.\n", - "[945.00] Client: Least accessed object was accessed 877 times.\n", - "[950.00] Client: Least accessed object was accessed 886 times.\n", - "[955.01] Client: Least accessed object was accessed 890 times.\n", - "[960.00] Client: Least accessed object was accessed 899 times.\n", - "[965.00] Client: Least accessed object was accessed 903 times.\n", - "[970.00] Client: Least accessed object was accessed 909 times.\n", - "[975.00] Client: Least accessed object was accessed 915 times.\n", - "[980.00] Client: Least accessed object was accessed 921 times.\n", - "[985.00] Client: Least accessed object was accessed 929 times.\n", - "[990.00] Client: Least accessed object was accessed 936 times.\n", - "[995.00] Client: Least accessed object was accessed 939 times.\n", - "[1000.00] Client: Least accessed object was accessed 943 times.\n", - "[1005.00] Client: Least accessed object was accessed 952 times.\n", - "[1010.00] Client: Least accessed object was accessed 954 times.\n", - "[1015.00] Client: Least accessed object was accessed 957 times.\n", - "[1020.01] Client: Least accessed object was accessed 961 times.\n", - "[1025.00] Client: Least accessed object was accessed 966 times.\n", - "[1030.00] Client: Least accessed object was accessed 974 times.\n", - "[1035.00] Client: Least accessed object was accessed 981 times.\n", - "[1040.00] Client: Least accessed object was accessed 985 times.\n", - "[1045.00] Client: Least accessed object was accessed 988 times.\n", - "[1050.00] Client: Least accessed object was accessed 991 times.\n", - "[1055.00] Client: Least accessed object was accessed 998 times.\n", - "CPU times: user 3.4 s, sys: 457 ms, total: 3.86 s\n", - "Wall time: 3.86 s\n" + "CPU times: user 639 ms, sys: 80.8 ms, total: 720 ms\n", + "Wall time: 702 ms\n" ] } ], @@ -564,106 +363,106 @@ "name": "stdout", "output_type": "stream", "text": [ - "Object 1: Hit Rate = 0.33, Average Age = 0.27\n", - "Object 2: Hit Rate = 0.60, Average Age = 0.25\n", - "Object 3: Hit Rate = 0.32, Average Age = 0.29\n", - "Object 4: Hit Rate = 0.34, Average Age = 0.24\n", - "Object 5: Hit Rate = 0.50, Average Age = 0.26\n", - "Object 6: Hit Rate = 0.34, Average Age = 0.23\n", - "Object 7: Hit Rate = 0.71, Average Age = 0.24\n", - "Object 8: Hit Rate = 0.34, Average Age = 0.24\n", - "Object 9: Hit Rate = 0.34, Average Age = 0.23\n", - "Object 10: Hit Rate = 0.33, Average Age = 0.25\n", - "Object 11: Hit Rate = 0.50, Average Age = 0.26\n", - "Object 12: Hit Rate = 0.36, Average Age = 0.25\n", - "Object 13: Hit Rate = 0.35, Average Age = 0.26\n", - "Object 14: Hit Rate = 0.32, Average Age = 0.28\n", - "Object 15: Hit Rate = 0.50, Average Age = 0.26\n", - "Object 16: Hit Rate = 0.52, Average Age = 0.24\n", - "Object 17: Hit Rate = 0.35, Average Age = 0.24\n", - "Object 18: Hit Rate = 0.33, Average Age = 0.29\n", - "Object 19: Hit Rate = 0.59, Average Age = 0.25\n", - "Object 20: Hit Rate = 0.35, Average Age = 0.26\n", - "Object 21: Hit Rate = 0.34, Average Age = 0.21\n", - "Object 22: Hit Rate = 0.34, Average Age = 0.28\n", - "Object 23: Hit Rate = 0.33, Average Age = 0.24\n", - "Object 24: Hit Rate = 0.51, Average Age = 0.24\n", - "Object 25: Hit Rate = 0.35, Average Age = 0.23\n", - "Object 26: Hit Rate = 0.35, Average Age = 0.24\n", - "Object 27: Hit Rate = 0.34, Average Age = 0.24\n", - "Object 28: Hit Rate = 0.71, Average Age = 0.24\n", - "Object 29: Hit Rate = 0.34, Average Age = 0.24\n", - "Object 30: Hit Rate = 0.33, Average Age = 0.25\n", - "Object 31: Hit Rate = 0.30, Average Age = 0.24\n", - "Object 32: Hit Rate = 0.66, Average Age = 0.24\n", - "Object 33: Hit Rate = 0.33, Average Age = 0.26\n", - "Object 34: Hit Rate = 0.67, Average Age = 0.26\n", - "Object 35: Hit Rate = 0.32, Average Age = 0.25\n", - "Object 36: Hit Rate = 0.33, Average Age = 0.26\n", - "Object 37: Hit Rate = 0.35, Average Age = 0.27\n", - "Object 38: Hit Rate = 0.60, Average Age = 0.24\n", - "Object 39: Hit Rate = 0.80, Average Age = 0.25\n", - "Object 40: Hit Rate = 0.33, Average Age = 0.24\n", - "Object 41: Hit Rate = 0.66, Average Age = 0.23\n", - "Object 42: Hit Rate = 0.67, Average Age = 0.24\n", - "Object 43: Hit Rate = 0.50, Average Age = 0.24\n", - "Object 44: Hit Rate = 0.34, Average Age = 0.23\n", - "Object 45: Hit Rate = 0.33, Average Age = 0.23\n", - "Object 46: Hit Rate = 0.34, Average Age = 0.21\n", - "Object 47: Hit Rate = 0.83, Average Age = 0.25\n", - "Object 48: Hit Rate = 0.33, Average Age = 0.23\n", - "Object 49: Hit Rate = 0.35, Average Age = 0.26\n", - "Object 50: Hit Rate = 0.32, Average Age = 0.25\n", - "Object 51: Hit Rate = 0.71, Average Age = 0.25\n", - "Object 52: Hit Rate = 0.81, Average Age = 0.25\n", - "Object 53: Hit Rate = 0.33, Average Age = 0.20\n", - "Object 54: Hit Rate = 0.34, Average Age = 0.26\n", - "Object 55: Hit Rate = 0.31, Average Age = 0.32\n", - "Object 56: Hit Rate = 0.32, Average Age = 0.24\n", - "Object 57: Hit Rate = 0.33, Average Age = 0.26\n", - "Object 58: Hit Rate = 0.89, Average Age = 0.25\n", - "Object 59: Hit Rate = 0.49, Average Age = 0.23\n", - "Object 60: Hit Rate = 0.34, Average Age = 0.22\n", - "Object 61: Hit Rate = 0.93, Average Age = 0.25\n", - "Object 62: Hit Rate = 0.32, Average Age = 0.20\n", - "Object 63: Hit Rate = 0.33, Average Age = 0.33\n", - "Object 64: Hit Rate = 0.49, Average Age = 0.28\n", - "Object 65: Hit Rate = 0.34, Average Age = 0.19\n", - "Object 66: Hit Rate = 0.84, Average Age = 0.24\n", - "Object 67: Hit Rate = 0.33, Average Age = 0.30\n", - "Object 68: Hit Rate = 0.97, Average Age = 0.24\n", - "Object 69: Hit Rate = 0.35, Average Age = 0.29\n", - "Object 70: Hit Rate = 0.35, Average Age = 0.24\n", - "Object 71: Hit Rate = 0.49, Average Age = 0.25\n", - "Object 72: Hit Rate = 0.33, Average Age = 0.25\n", - "Object 73: Hit Rate = 0.33, Average Age = 0.22\n", - "Object 74: Hit Rate = 0.34, Average Age = 0.23\n", - "Object 75: Hit Rate = 0.59, Average Age = 0.26\n", - "Object 76: Hit Rate = 0.49, Average Age = 0.25\n", - "Object 77: Hit Rate = 0.50, Average Age = 0.23\n", - "Object 78: Hit Rate = 0.60, Average Age = 0.24\n", - "Object 79: Hit Rate = 0.88, Average Age = 0.24\n", - "Object 80: Hit Rate = 0.34, Average Age = 0.22\n", - "Object 81: Hit Rate = 0.33, Average Age = 0.29\n", - "Object 82: Hit Rate = 0.72, Average Age = 0.25\n", - "Object 83: Hit Rate = 0.50, Average Age = 0.26\n", - "Object 84: Hit Rate = 0.33, Average Age = 0.28\n", - "Object 85: Hit Rate = 0.31, Average Age = 0.23\n", - "Object 86: Hit Rate = 0.50, Average Age = 0.24\n", - "Object 87: Hit Rate = 0.34, Average Age = 0.25\n", - "Object 88: Hit Rate = 0.48, Average Age = 0.28\n", - "Object 89: Hit Rate = 0.32, Average Age = 0.25\n", - "Object 90: Hit Rate = 0.33, Average Age = 0.20\n", - "Object 91: Hit Rate = 0.49, Average Age = 0.26\n", - "Object 92: Hit Rate = 0.49, Average Age = 0.23\n", - "Object 93: Hit Rate = 0.60, Average Age = 0.26\n", - "Object 94: Hit Rate = 0.31, Average Age = 0.23\n", - "Object 95: Hit Rate = 0.51, Average Age = 0.22\n", - "Object 96: Hit Rate = 0.34, Average Age = 0.26\n", - "Object 97: Hit Rate = 0.32, Average Age = 0.25\n", - "Object 98: Hit Rate = 0.95, Average Age = 0.25\n", - "Object 99: Hit Rate = 0.67, Average Age = 0.26\n", - "Object 100: Hit Rate = 0.49, Average Age = 0.25\n" + "Object 1: Hit Rate = 0.49, Average Age = 0.50\n", + "Object 2: Hit Rate = 0.75, Average Age = 0.53\n", + "Object 3: Hit Rate = 0.48, Average Age = 0.56\n", + "Object 4: Hit Rate = 0.48, Average Age = 0.50\n", + "Object 5: Hit Rate = 0.67, Average Age = 0.42\n", + "Object 6: Hit Rate = 0.49, Average Age = 0.39\n", + "Object 7: Hit Rate = 0.84, Average Age = 0.53\n", + "Object 8: Hit Rate = 0.49, Average Age = 0.37\n", + "Object 9: Hit Rate = 0.48, Average Age = 0.45\n", + "Object 10: Hit Rate = 0.50, Average Age = 0.46\n", + "Object 11: Hit Rate = 0.67, Average Age = 0.48\n", + "Object 12: Hit Rate = 0.53, Average Age = 0.56\n", + "Object 13: Hit Rate = 0.53, Average Age = 0.47\n", + "Object 14: Hit Rate = 0.48, Average Age = 0.47\n", + "Object 15: Hit Rate = 0.68, Average Age = 0.46\n", + "Object 16: Hit Rate = 0.65, Average Age = 0.52\n", + "Object 17: Hit Rate = 0.50, Average Age = 0.50\n", + "Object 18: Hit Rate = 0.50, Average Age = 0.55\n", + "Object 19: Hit Rate = 0.75, Average Age = 0.51\n", + "Object 20: Hit Rate = 0.50, Average Age = 0.47\n", + "Object 21: Hit Rate = 0.54, Average Age = 0.49\n", + "Object 22: Hit Rate = 0.55, Average Age = 0.51\n", + "Object 23: Hit Rate = 0.49, Average Age = 0.54\n", + "Object 24: Hit Rate = 0.70, Average Age = 0.45\n", + "Object 25: Hit Rate = 0.48, Average Age = 0.56\n", + "Object 26: Hit Rate = 0.54, Average Age = 0.49\n", + "Object 27: Hit Rate = 0.48, Average Age = 0.40\n", + "Object 28: Hit Rate = 0.82, Average Age = 0.54\n", + "Object 29: Hit Rate = 0.50, Average Age = 0.41\n", + "Object 30: Hit Rate = 0.51, Average Age = 0.55\n", + "Object 31: Hit Rate = 0.43, Average Age = 0.58\n", + "Object 32: Hit Rate = 0.79, Average Age = 0.50\n", + "Object 33: Hit Rate = 0.50, Average Age = 0.43\n", + "Object 34: Hit Rate = 0.80, Average Age = 0.53\n", + "Object 35: Hit Rate = 0.50, Average Age = 0.65\n", + "Object 36: Hit Rate = 0.46, Average Age = 0.46\n", + "Object 37: Hit Rate = 0.54, Average Age = 0.54\n", + "Object 38: Hit Rate = 0.73, Average Age = 0.51\n", + "Object 39: Hit Rate = 0.89, Average Age = 0.52\n", + "Object 40: Hit Rate = 0.54, Average Age = 0.46\n", + "Object 41: Hit Rate = 0.79, Average Age = 0.45\n", + "Object 42: Hit Rate = 0.80, Average Age = 0.48\n", + "Object 43: Hit Rate = 0.64, Average Age = 0.38\n", + "Object 44: Hit Rate = 0.45, Average Age = 0.48\n", + "Object 45: Hit Rate = 0.49, Average Age = 0.46\n", + "Object 46: Hit Rate = 0.52, Average Age = 0.41\n", + "Object 47: Hit Rate = 0.91, Average Age = 0.53\n", + "Object 48: Hit Rate = 0.54, Average Age = 0.43\n", + "Object 49: Hit Rate = 0.56, Average Age = 0.52\n", + "Object 50: Hit Rate = 0.47, Average Age = 0.39\n", + "Object 51: Hit Rate = 0.83, Average Age = 0.44\n", + "Object 52: Hit Rate = 0.90, Average Age = 0.49\n", + "Object 53: Hit Rate = 0.47, Average Age = 0.49\n", + "Object 54: Hit Rate = 0.49, Average Age = 0.48\n", + "Object 55: Hit Rate = 0.50, Average Age = 0.50\n", + "Object 56: Hit Rate = 0.52, Average Age = 0.49\n", + "Object 57: Hit Rate = 0.52, Average Age = 0.55\n", + "Object 58: Hit Rate = 0.95, Average Age = 0.47\n", + "Object 59: Hit Rate = 0.62, Average Age = 0.50\n", + "Object 60: Hit Rate = 0.53, Average Age = 0.53\n", + "Object 61: Hit Rate = 0.96, Average Age = 0.49\n", + "Object 62: Hit Rate = 0.53, Average Age = 0.52\n", + "Object 63: Hit Rate = 0.45, Average Age = 0.51\n", + "Object 64: Hit Rate = 0.69, Average Age = 0.42\n", + "Object 65: Hit Rate = 0.53, Average Age = 0.51\n", + "Object 66: Hit Rate = 0.91, Average Age = 0.48\n", + "Object 67: Hit Rate = 0.56, Average Age = 0.51\n", + "Object 68: Hit Rate = 0.99, Average Age = 0.47\n", + "Object 69: Hit Rate = 0.52, Average Age = 0.62\n", + "Object 70: Hit Rate = 0.53, Average Age = 0.57\n", + "Object 71: Hit Rate = 0.68, Average Age = 0.49\n", + "Object 72: Hit Rate = 0.45, Average Age = 0.49\n", + "Object 73: Hit Rate = 0.49, Average Age = 0.45\n", + "Object 74: Hit Rate = 0.53, Average Age = 0.59\n", + "Object 75: Hit Rate = 0.73, Average Age = 0.53\n", + "Object 76: Hit Rate = 0.66, Average Age = 0.49\n", + "Object 77: Hit Rate = 0.68, Average Age = 0.45\n", + "Object 78: Hit Rate = 0.76, Average Age = 0.50\n", + "Object 79: Hit Rate = 0.94, Average Age = 0.46\n", + "Object 80: Hit Rate = 0.49, Average Age = 0.53\n", + "Object 81: Hit Rate = 0.50, Average Age = 0.48\n", + "Object 82: Hit Rate = 0.84, Average Age = 0.48\n", + "Object 83: Hit Rate = 0.66, Average Age = 0.48\n", + "Object 84: Hit Rate = 0.54, Average Age = 0.55\n", + "Object 85: Hit Rate = 0.42, Average Age = 0.36\n", + "Object 86: Hit Rate = 0.62, Average Age = 0.45\n", + "Object 87: Hit Rate = 0.54, Average Age = 0.60\n", + "Object 88: Hit Rate = 0.64, Average Age = 0.52\n", + "Object 89: Hit Rate = 0.56, Average Age = 0.51\n", + "Object 90: Hit Rate = 0.50, Average Age = 0.48\n", + "Object 91: Hit Rate = 0.66, Average Age = 0.50\n", + "Object 92: Hit Rate = 0.64, Average Age = 0.45\n", + "Object 93: Hit Rate = 0.76, Average Age = 0.44\n", + "Object 94: Hit Rate = 0.50, Average Age = 0.53\n", + "Object 95: Hit Rate = 0.68, Average Age = 0.44\n", + "Object 96: Hit Rate = 0.53, Average Age = 0.55\n", + "Object 97: Hit Rate = 0.52, Average Age = 0.52\n", + "Object 98: Hit Rate = 0.97, Average Age = 0.47\n", + "Object 99: Hit Rate = 0.79, Average Age = 0.50\n", + "Object 100: Hit Rate = 0.68, Average Age = 0.49\n" ] } ], @@ -697,12 +496,28 @@ "metadata": {}, "outputs": [], "source": [ - "avg_age = {obj_id: cache.cumulative_age[obj_id] / max(1, cache.hits[obj_id]) for obj_id in range(1, DATABASE_OBJECTS + 1)}" + "avg_age = {\n", + " obj_id: cache.cumulative_age[obj_id] / max(1, cache.hits[obj_id]) \n", + " for obj_id in range(1, DATABASE_OBJECTS + 1)\n", + "}" ] }, { "cell_type": "code", "execution_count": 13, + "id": "dfd37ae1-7442-4fa3-8820-035ded4e3f16", + "metadata": {}, + "outputs": [], + "source": [ + "hit_rate = {\n", + " obj_id: np.round((cache.hits[obj_id] / max(1, cache.access_count[obj_id]))*100,2) \n", + " for obj_id in range(1, DATABASE_OBJECTS + 1)\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 14, "id": "80971714-44f1-47db-9e89-85be7c885bde", "metadata": {}, "outputs": [ @@ -739,53 +554,53 @@ " \n", " \n", " 1\n", - " 1060\n", - " 347\n", - " 713\n", + " 122\n", + " 60\n", + " 62\n", " 0\n", " 1\n", - " 59.79\n", - " 0.265130\n", + " 49.18\n", + " 0.500000\n", " \n", " \n", " 2\n", - " 3141\n", - " 1878\n", - " 1263\n", + " 382\n", + " 288\n", + " 94\n", " 0\n", " 3\n", - " 31.70\n", - " 0.247604\n", + " 75.39\n", + " 0.527778\n", " \n", " \n", " 3\n", - " 1060\n", - " 336\n", - " 724\n", + " 127\n", + " 61\n", + " 66\n", " 0\n", " 1\n", - " 34.19\n", - " 0.291667\n", + " 48.03\n", + " 0.557377\n", " \n", " \n", " 4\n", - " 1053\n", - " 360\n", - " 693\n", + " 113\n", + " 54\n", + " 59\n", " 0\n", " 1\n", - " 49.83\n", - " 0.236111\n", + " 47.79\n", + " 0.500000\n", " \n", " \n", " 5\n", - " 2073\n", - " 1033\n", - " 1040\n", + " 244\n", + " 163\n", + " 81\n", " 0\n", " 2\n", - " 33.58\n", - " 0.260407\n", + " 66.80\n", + " 0.423313\n", " \n", " \n", " ...\n", @@ -798,78 +613,78 @@ " ...\n", " \n", " \n", - " 95\n", - " 2119\n", - " 1083\n", - " 1036\n", - " 0\n", - " 2\n", - " 34.41\n", - " 0.223453\n", - " \n", - " \n", " 96\n", - " 1026\n", - " 353\n", - " 673\n", + " 139\n", + " 73\n", + " 66\n", " 0\n", " 1\n", - " 31.82\n", - " 0.263456\n", + " 52.52\n", + " 0.547945\n", " \n", " \n", " 97\n", - " 1015\n", - " 323\n", - " 692\n", + " 127\n", + " 66\n", + " 61\n", " 0\n", " 1\n", - " 94.89\n", - " 0.250774\n", + " 51.97\n", + " 0.515152\n", " \n", " \n", " 98\n", - " 39278\n", - " 37270\n", - " 2008\n", + " 4578\n", + " 4458\n", + " 120\n", " 0\n", " 37\n", - " 66.57\n", - " 0.248994\n", + " 97.38\n", + " 0.467474\n", " \n", " \n", " 99\n", - " 4158\n", - " 2768\n", - " 1390\n", + " 482\n", + " 382\n", + " 100\n", " 0\n", " 4\n", - " 48.90\n", - " 0.261561\n", + " 79.25\n", + " 0.502618\n", + " \n", + " \n", + " 100\n", + " 249\n", + " 170\n", + " 79\n", + " 0\n", + " 2\n", + " 68.27\n", + " 0.494118\n", " \n", " \n", "\n", - "

99 rows × 7 columns

\n", + "

100 rows × 7 columns

\n", "" ], "text/plain": [ - " access_count hits misses mu lambda hit_rate avg_age\n", - "1 1060 347 713 0 1 59.79 0.265130\n", - "2 3141 1878 1263 0 3 31.70 0.247604\n", - "3 1060 336 724 0 1 34.19 0.291667\n", - "4 1053 360 693 0 1 49.83 0.236111\n", - "5 2073 1033 1040 0 2 33.58 0.260407\n", - ".. ... ... ... .. ... ... ...\n", - "95 2119 1083 1036 0 2 34.41 0.223453\n", - "96 1026 353 673 0 1 31.82 0.263456\n", - "97 1015 323 692 0 1 94.89 0.250774\n", - "98 39278 37270 2008 0 37 66.57 0.248994\n", - "99 4158 2768 1390 0 4 48.90 0.261561\n", + " access_count hits misses mu lambda hit_rate avg_age\n", + "1 122 60 62 0 1 49.18 0.500000\n", + "2 382 288 94 0 3 75.39 0.527778\n", + "3 127 61 66 0 1 48.03 0.557377\n", + "4 113 54 59 0 1 47.79 0.500000\n", + "5 244 163 81 0 2 66.80 0.423313\n", + ".. ... ... ... .. ... ... ...\n", + "96 139 73 66 0 1 52.52 0.547945\n", + "97 127 66 61 0 1 51.97 0.515152\n", + "98 4578 4458 120 0 37 97.38 0.467474\n", + "99 482 382 100 0 4 79.25 0.502618\n", + "100 249 170 79 0 2 68.27 0.494118\n", "\n", - "[99 rows x 7 columns]" + "[100 rows x 7 columns]" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -880,7 +695,7 @@ "misses = pd.DataFrame.from_dict(cache.misses, orient='index', columns=['misses'])\n", "mu = pd.DataFrame.from_dict(db.mu_values, orient='index', columns=['mu'])\n", "lmbda = pd.DataFrame.from_dict(db.lambda_values, orient='index', columns=['lambda'])\n", - "hit_rate = pd.DataFrame(np.round((hits.to_numpy()/access_count.to_numpy())*100,2), columns=['hit_rate'])\n", + "hit_rate = pd.DataFrame.from_dict(hit_rate, orient='index', columns=['hit_rate'])\n", "avg_age = pd.DataFrame.from_dict(avg_age, orient='index', columns=['avg_age'])\n", "\n", "merged = access_count.merge(hits, left_index=True, right_index=True).merge(misses, left_index=True, right_index=True)\\\n", @@ -892,13 +707,13 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "id": "01f8f9ee-c278-4a22-8562-ba02e77f5ddd", "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] @@ -926,7 +741,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "f30a0497-9b2e-4ea9-8ebf-6687de19aaa9", "metadata": {}, "outputs": [ @@ -966,13 +781,13 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "id": "c192564b-d3c6-40e1-a614-f7a5ee787c4e", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -997,7 +812,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "id": "00a12eea-c805-4209-9143-48fa65619873", "metadata": {}, "outputs": [ @@ -1044,7 +859,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "id": "adbfeb40-76bd-4224-ac45-65c7b2b2cb7b", "metadata": {}, "outputs": [], @@ -1059,7 +874,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "id": "1f550686-3463-4e50-be83-ceafb27512b0", "metadata": {}, "outputs": [], @@ -1079,7 +894,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "id": "b47990b1-0231-43ac-8bc5-8340abe4a8b3", "metadata": {}, "outputs": [], @@ -1092,10 +907,23 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "id": "db83cad4-7cc6-4702-ae3a-d1af30a561d2", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "Error", + "evalue": "Destination path './experiments/No_Refresh_1_0s_ttl/hit_age.csv' already exists", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[22], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m file_names \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mlistdir(TEMP_BASE_DIR)\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m file_name \u001b[38;5;129;01min\u001b[39;00m file_names:\n\u001b[0;32m----> 4\u001b[0m \u001b[43mshutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmove\u001b[49m\u001b[43m(\u001b[49m\u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m(\u001b[49m\u001b[43mTEMP_BASE_DIR\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfile_name\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfolder_path\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/usr/lib/python3.12/shutil.py:845\u001b[0m, in \u001b[0;36mmove\u001b[0;34m(src, dst, copy_function)\u001b[0m\n\u001b[1;32m 842\u001b[0m real_dst \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(dst, _basename(src))\n\u001b[1;32m 844\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mexists(real_dst):\n\u001b[0;32m--> 845\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m Error(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDestination path \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m already exists\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m real_dst)\n\u001b[1;32m 846\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 847\u001b[0m os\u001b[38;5;241m.\u001b[39mrename(src, real_dst)\n", + "\u001b[0;31mError\u001b[0m: Destination path './experiments/No_Refresh_1_0s_ttl/hit_age.csv' already exists" + ] + } + ], "source": [ "file_names = os.listdir(TEMP_BASE_DIR)\n", " \n", diff --git a/experiments/No_Refresh_0_5s_ttl/details.csv b/experiments/No_Refresh_0_5s_ttl/details.csv index b929c69..e4210f6 100644 --- a/experiments/No_Refresh_0_5s_ttl/details.csv +++ b/experiments/No_Refresh_0_5s_ttl/details.csv @@ -1,100 +1,101 @@ obj_id,access_count,hits,misses,mu,lambda,hit_rate,avg_age -1,122,41,81,0,1,61.52,0.07317073170731707 -2,382,235,147,0,3,29.92,0.2553191489361702 -3,127,38,89,0,1,29.2,0.34210526315789475 -4,113,33,80,0,1,49.59,0.30303030303030304 -5,244,121,123,0,2,34.48,0.2231404958677686 -6,116,40,76,0,1,72.26,0.275 -7,656,474,182,0,5,30.47,0.22573839662447256 -8,128,39,89,0,1,32.46,0.15384615384615385 -9,114,37,77,0,1,28.7,0.2702702702702703 -10,115,33,82,0,1,52.44,0.24242424242424243 -11,246,129,117,0,2,37.88,0.17829457364341086 -12,132,50,82,0,1,35.97,0.22 -13,139,50,89,0,1,29.17,0.24 -14,120,35,85,0,1,51.34,0.2 -15,261,134,127,0,2,48.44,0.26865671641791045 -16,225,109,116,0,2,32.5,0.22018348623853212 -17,120,39,81,0,1,33.33,0.20512820512820512 -18,117,39,78,0,1,59.17,0.23076923076923078 -19,360,213,147,0,3,34.19,0.17370892018779344 -20,117,40,77,0,1,35.82,0.275 -21,134,48,86,0,1,37.41,0.20833333333333334 -22,147,55,92,0,1,35.21,0.32727272727272727 -23,142,50,92,0,1,53.03,0.22 -24,264,140,124,0,2,34.15,0.20714285714285716 -25,123,42,81,0,1,35.46,0.3333333333333333 -26,141,50,91,0,1,35.16,0.24 -27,128,45,83,0,1,69.15,0.2 -28,564,390,174,0,5,35.34,0.24102564102564103 -29,133,47,86,0,1,36.0,0.1702127659574468 -30,125,45,80,0,1,26.96,0.26666666666666666 -31,115,31,84,0,1,65.81,0.25806451612903225 -32,468,308,160,0,4,31.9,0.2597402597402597 -33,116,37,79,0,1,67.27,0.10810810810810811 -34,498,335,163,0,4,29.55,0.26865671641791045 -35,132,39,93,0,1,29.0,0.3333333333333333 -36,100,29,71,0,1,34.9,0.2413793103448276 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100644 --- a/experiments/No_Refresh_0_5s_ttl/overall_hit_age.csv +++ b/experiments/No_Refresh_0_5s_ttl/overall_hit_age.csv @@ -1,9 +1,9 @@ ,hit_rate,avg_age count,100.0,100.0 -mean,0.45866953325531407,0.2405818161600988 -std,0.18036841870823853,0.06072706326352597 -min,0.26956521739130435,0.07317073170731707 -25%,0.33524173027989823,0.20663919413919415 -50%,0.3643173023770039,0.24190177638453503 -75%,0.5339140431552882,0.26880022962112515 -max,0.9713572617066794,0.4423076923076923 +mean,0.43000571581399505,0.24700018485928918 +std,0.16182665416469308,0.06618696527414235 +min,0.22429906542056074,0.08333333333333333 +25%,0.31932773109243695,0.20551592224979323 +50%,0.3536148062463852,0.25 +75%,0.506858896259194,0.2922794117647059 +max,0.9253869969040248,0.43333333333333335 diff --git a/experiments/No_Refresh_1_0s_ttl/details.csv b/experiments/No_Refresh_1_0s_ttl/details.csv index 11ea0ee..b8f8c13 100644 --- a/experiments/No_Refresh_1_0s_ttl/details.csv +++ b/experiments/No_Refresh_1_0s_ttl/details.csv @@ -1,100 +1,101 @@ obj_id,access_count,hits,misses,mu,lambda,hit_rate,avg_age -1,122,60,62,0,1,75.39,0.5 -2,382,288,94,0,3,48.03,0.5277777777777778 -3,127,61,66,0,1,47.79,0.5573770491803278 -4,113,54,59,0,1,66.8,0.5 -5,244,163,81,0,2,49.14,0.4233128834355828 -6,116,57,59,0,1,84.15,0.38596491228070173 -7,656,552,104,0,5,49.22,0.5344202898550725 -8,128,63,65,0,1,48.25,0.36507936507936506 -9,114,55,59,0,1,49.57,0.45454545454545453 -10,115,57,58,0,1,67.07,0.45614035087719296 -11,246,165,81,0,2,53.03,0.48484848484848486 -12,132,70,62,0,1,53.24,0.5571428571428572 -13,139,74,65,0,1,48.33,0.47297297297297297 -14,120,58,62,0,1,68.2,0.46551724137931033 -15,261,178,83,0,2,65.33,0.4606741573033708 -16,225,147,78,0,2,50.0,0.5238095238095238 -17,120,60,60,0,1,49.57,0.5 -18,117,58,59,0,1,75.28,0.5517241379310345 -19,360,271,89,0,3,49.57,0.5092250922509225 -20,117,58,59,0,1,53.73,0.46551724137931033 -21,134,72,62,0,1,55.1,0.4861111111111111 -22,147,81,66,0,1,48.59,0.5061728395061729 -23,142,69,73,0,1,69.7,0.5362318840579711 -24,264,184,80,0,2,47.97,0.44565217391304346 -25,123,59,64,0,1,53.9,0.559322033898305 -26,141,76,65,0,1,48.44,0.4868421052631579 -27,128,62,66,0,1,82.27,0.4032258064516129 -28,564,464,100,0,5,49.62,0.5387931034482759 -29,133,66,67,0,1,51.2,0.4090909090909091 -30,125,64,61,0,1,43.48,0.546875 -31,115,50,65,0,1,79.27,0.58 -32,468,371,97,0,4,50.0,0.49595687331536387 -33,116,58,58,0,1,80.12,0.43103448275862066 -34,498,399,99,0,4,50.0,0.5338345864661654 -35,132,66,66,0,1,46.0,0.6515151515151515 -36,100,46,54,0,1,54.36,0.45652173913043476 -37,149,81,68,0,1,72.96,0.5432098765432098 -38,355,259,96,0,3,88.77,0.5096525096525096 -39,962,854,108,0,8,53.91,0.5210772833723654 -40,128,69,59,0,1,79.11,0.463768115942029 -41,474,375,99,0,4,79.6,0.45066666666666666 -42,495,394,101,0,4,64.32,0.48223350253807107 -43,213,137,76,0,2,44.64,0.3795620437956204 -44,112,50,62,0,1,48.84,0.48 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-75%,0.6884469696969697,0.5242130750605327 -max,0.9855003565486095,0.6515151515151515 +mean,0.6021783585155782,0.5064424317967045 +std,0.15180279672668423,0.062246848479063324 +min,0.4095238095238095,0.375 +25%,0.4879366040783364,0.4682379994251222 +50%,0.5270221473278767,0.5084256185804228 +75%,0.694047462960535,0.5405458110216301 +max,0.9764503159103963,0.7258064516129032 diff --git a/experiments/No_Refresh_2_0s_ttl/details.csv b/experiments/No_Refresh_2_0s_ttl/details.csv index fee718f..b945ad0 100644 --- a/experiments/No_Refresh_2_0s_ttl/details.csv +++ b/experiments/No_Refresh_2_0s_ttl/details.csv @@ -1,100 +1,101 @@ obj_id,access_count,hits,misses,mu,lambda,hit_rate,avg_age -1,122,83,39,0,1,86.13,0.8313253012048193 -2,382,329,53,0,3,67.72,0.9878419452887538 -3,127,86,41,0,1,63.72,0.9651162790697675 -4,113,72,41,0,1,79.1,0.875 -5,244,193,51,0,2,64.66,0.9481865284974094 -6,116,75,41,0,1,91.31,1.0 -7,656,599,57,0,5,69.53,0.9198664440734557 -8,128,89,39,0,1,64.04,1.0786516853932584 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100644 --- a/experiments/No_Refresh_2_0s_ttl/overall_hit_age.csv +++ b/experiments/No_Refresh_2_0s_ttl/overall_hit_age.csv @@ -1,9 +1,9 @@ ,hit_rate,avg_age count,100.0,100.0 -mean,0.7510045829957603,1.0028764694071644 -std,0.10659766802021664,0.07025722719112537 -min,0.59,0.8313253012048193 -25%,0.6693093621149648,0.9487813260019033 -50%,0.6942371475953566,1.005362527927224 -75%,0.8135206638368118,1.0412385844748857 -max,0.9926313287378179,1.2043010752688172 +mean,0.725968336902936,0.9978844102920913 +std,0.10064349885563405,0.08830598724623692 +min,0.58,0.7778255880665519 +25%,0.6580245764289704,0.9482938336624973 +50%,0.67730451366815,1.0 +75%,0.7970836761820368,1.0523424996362578 +max,0.9955022488755623,1.1948051948051948 diff --git a/experiments/No_Refresh_3_0s_ttl/details.csv b/experiments/No_Refresh_3_0s_ttl/details.csv index 88ec767..abefb19 100644 --- a/experiments/No_Refresh_3_0s_ttl/details.csv +++ b/experiments/No_Refresh_3_0s_ttl/details.csv @@ -1,100 +1,101 @@ 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zJ&b(FWBCaM1!8t1ibdGq?Ky=ikO(?34cXm)#YMdW4{0pTdjO>YhallC%KdqQ-G=7_on7$T~aU;?LKSY|z zSy}2(`DkfqgkX(U{U{h49kl~kMm#F87EZak7AYtyirDs?L{MA_w-{mtKul#o2}peY z+yL2DJq#mxb2q_xy97s%u^oCzdjP~iI z)9KRzDCR$EY0-gW$w@S8&c{}Q!1moeFE19QdwV~{yPu^{sB9!HFKWPJ#?$V4a;Ysp zyT0k&yOU&YfXUT!2JtrbPtv27SYi+w6-*Jf>$^Q^!6+sp8p3xSLaba-Q$zDuu;|^= zR8nOn9u%-B*@lU4iqocNwzFfZ+EHCcCkcSy#qqxP)9>%N#g32LVGXr6$be0(850wO z@u)}gKz2JmWKa=X_WtgnnQo8@bBFCbJj6zIy0znHJhol=(79V9;BJtJMr@*pLOF0P z{M^4hGlOtk<+LMbW-{vH;^L~6= next_request:\n", - " # print(f\"[{env.now:.2f}] Client: Requesting object {obj_id}\")\n", - " cache.get(obj_id)\n", - " \n", - " # print(f\"[{env.now:.2f}] Client: Schedule next request for {obj_id}\")\n", - " next_request = env.now + np.random.exponential(1/cache.db.lambda_values[obj_id])\n", - " cache.request_log[obj_id].append(next_request)\n", - " cache.db.next_request[obj_id] = next_request\n", - " if all(access_count >= ACCESS_COUNT_LIMIT for access_count in cache.access_count.values()):\n", - " event.succeed()\n", - " if (int(env.now) % 5) == 0 and int(env.now) != last_print:\n", - " print(f\"[{env.now:.2f}] Client: Least accessed object was accessed {min(cache.access_count.values())} times.\")\n", - " last_print = int(env.now)" + " with tqdm(total=ACCESS_COUNT_LIMIT, desc=\"Progress\", leave=True) as pbar:\n", + " while True:\n", + " obj_id, next_request = min(cache.db.next_request.items(), key=lambda x: x[1])\n", + " yield env.timeout(next_request - env.now)\n", + " if (int(env.now) % 1) == 0 and int(env.now) != last_print:\n", + " last_print = int(env.now)\n", + " pbar.n = min(cache.access_count.values())\n", + " pbar.refresh()\n", + " if env.now >= next_request:\n", + " # print(f\"[{env.now:.2f}] Client: Requesting object {obj_id}\")\n", + " cache.get(obj_id)\n", + " \n", + " # print(f\"[{env.now:.2f}] Client: Schedule next request for {obj_id}\")\n", + " next_request = env.now + np.random.exponential(1/cache.db.lambda_values[obj_id])\n", + " cache.request_log[obj_id].append(next_request)\n", + " cache.db.next_request[obj_id] = next_request\n", + " if all(access_count >= ACCESS_COUNT_LIMIT for access_count in cache.access_count.values()):\n", + " event.succeed()" ] }, { @@ -290,51 +293,44 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "6b9680ed-19bc-4f5b-8f22-95ffb319f068", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "['No Refresh (0.5s ttl)',\n", + " 'No Refresh (1.0s ttl)',\n", + " 'No Refresh (2.0s ttl)',\n", + " 'No Refresh (3.0s ttl)',\n", + " 'No Refresh (4.0s ttl)',\n", + " 'No Refresh (5.0s ttl)']" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ + "experiments = [e for e in experiments if \"ttl)\" in e]\n", "experiments" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "3ff299ca-ec65-453b-b167-9a0f7728a207", "metadata": { "scrolled": true }, "outputs": [ { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "[5.00] Client: Least accessed object was accessed 1 times.\n", - "[10.00] Client: Least accessed object was accessed 4 times.\n", - "[15.01] Client: Least accessed object was accessed 7 times.\n", - "[20.01] Client: Least accessed object was accessed 11 times.\n", - "[25.00] Client: Least accessed object was accessed 15 times.\n", - "[30.00] Client: Least accessed object was accessed 20 times.\n", - "[35.00] Client: Least accessed object was accessed 22 times.\n", - "[40.00] Client: Least accessed object was accessed 26 times.\n", - "[45.00] Client: Least accessed object was accessed 31 times.\n", - "[50.00] Client: Least accessed object was accessed 34 times.\n", - "[55.00] Client: Least accessed object was accessed 37 times.\n", - "[60.00] Client: Least accessed object was accessed 42 times.\n", - "[65.00] Client: Least accessed object was accessed 47 times.\n", - "[70.00] Client: Least accessed object was accessed 52 times.\n", - "[75.00] Client: Least accessed object was accessed 54 times.\n", - "[80.00] Client: Least accessed object was accessed 58 times.\n", - "[85.00] Client: Least accessed object was accessed 62 times.\n", - "[90.00] Client: Least accessed object was accessed 69 times.\n", - "[95.00] Client: Least accessed object was accessed 71 times.\n", - "[100.00] Client: Least accessed object was accessed 76 times.\n", - "[105.00] Client: Least accessed object was accessed 77 times.\n", - "[110.00] Client: Least accessed object was accessed 80 times.\n", - "[115.00] Client: Least accessed object was accessed 86 times.\n", - "[120.00] Client: Least accessed object was accessed 93 times.\n", - "[125.01] Client: Least accessed object was accessed 99 times.\n" + "Progress: 99%|██████████████████████████████████████████████████████████████████████████████████████████ | 99/100 [00:00<00:00, 108.08it/s]" ] }, { @@ -359,7 +355,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
    " ] @@ -378,32 +374,129 @@ "output_type": "display_data" }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "[5.00] Client: Least accessed object was accessed 1 times.\n", - "[10.00] Client: Least accessed object was accessed 2 times.\n", - "[15.00] Client: Least accessed object was accessed 3 times.\n", - "[20.01] Client: Least accessed object was accessed 8 times.\n", - "[25.00] Client: Least accessed object was accessed 14 times.\n", - "[30.00] Client: Least accessed object was accessed 18 times.\n", - "[35.00] Client: Least accessed object was accessed 24 times.\n", - "[40.00] Client: Least accessed object was accessed 28 times.\n", - "[45.01] Client: Least accessed object was accessed 32 times.\n", - "[50.00] Client: Least accessed object was accessed 36 times.\n", - "[55.01] Client: Least accessed object was accessed 41 times.\n", - "[60.00] Client: Least accessed object was accessed 46 times.\n", - "[65.00] Client: Least accessed object was accessed 50 times.\n", - "[70.00] Client: Least accessed object was accessed 55 times.\n", - "[75.00] Client: Least accessed object was accessed 58 times.\n", - "[80.00] Client: Least accessed object was accessed 64 times.\n", - "[85.00] Client: Least accessed object was accessed 68 times.\n", - "[90.00] Client: Least accessed object was accessed 71 times.\n", - "[95.00] Client: Least accessed object was accessed 73 times.\n", - "[100.00] Client: Least accessed object was accessed 78 times.\n", - "[105.01] Client: Least accessed object was accessed 87 times.\n", - "[110.00] Client: Least accessed object was accessed 93 times.\n", - "[115.00] Client: Least accessed object was accessed 97 times.\n" + "\n", + "Progress: 0%| | 0/100 [00:00" ] @@ -446,6 +539,52 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "\n", + "Progress: 0%| | 0/100 [00:00" ] @@ -10120,6 +10514,49 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "Progress: 0%| | 0/100 [00:00" ] @@ -20977,6 +21866,88 @@ "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "\n", + "Progress: 0%| | 0/100 [00:00" ] @@ -31552,34 +32994,664 @@ "output_type": "display_data" }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "[5.00] Client: Least accessed object was accessed 1 times.\n", - "[10.00] Client: Least accessed object was accessed 5 times.\n", - "[15.00] Client: Least accessed object was accessed 9 times.\n", - "[20.00] Client: Least accessed object was accessed 11 times.\n", - "[25.00] Client: Least accessed object was accessed 13 times.\n", - "[30.00] Client: Least accessed object was accessed 19 times.\n", - "[35.01] Client: Least accessed object was accessed 23 times.\n", - "[40.01] Client: Least accessed object was accessed 29 times.\n", - "[45.03] Client: Least accessed object was accessed 32 times.\n", - "[50.00] Client: Least accessed object was accessed 36 times.\n", - "[55.01] Client: Least accessed object was accessed 42 times.\n", - "[60.00] Client: Least accessed object was accessed 44 times.\n", - "[65.00] Client: Least accessed object was accessed 45 times.\n", - "[70.00] Client: Least accessed object was accessed 50 times.\n", - "[75.01] Client: Least accessed object was accessed 55 times.\n", - "[80.00] Client: Least accessed object was accessed 61 times.\n", - "[85.00] Client: Least accessed object was accessed 68 times.\n", - "[90.00] Client: Least accessed object was accessed 72 times.\n", - "[95.00] Client: Least accessed object was accessed 77 times.\n", - "[100.00] Client: Least accessed object was accessed 81 times.\n", - "[105.00] Client: Least accessed object was accessed 84 times.\n", - "[110.01] Client: Least accessed object was accessed 84 times.\n", - "[115.00] Client: Least accessed object was accessed 87 times.\n", - "[120.00] Client: Least accessed object was accessed 92 times.\n", - "[125.00] Client: Least accessed object was accessed 96 times.\n" + "\n", + "\n", + "\n", + "\n", + "\n", + "Progress: 0%| | 0/100 [00:00" ] @@ -31623,34 +33695,10 @@ "output_type": "display_data" }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "[5.00] Client: Least accessed object was accessed 1 times.\n", - "[10.00] Client: Least accessed object was accessed 4 times.\n", - "[15.01] Client: Least accessed object was accessed 6 times.\n", - "[20.01] Client: Least accessed object was accessed 9 times.\n", - "[25.00] Client: Least accessed object was accessed 11 times.\n", - "[30.00] Client: Least accessed object was accessed 15 times.\n", - "[35.00] Client: Least accessed object was accessed 17 times.\n", - "[40.00] Client: Least accessed object was accessed 20 times.\n", - "[45.00] Client: Least accessed object was accessed 27 times.\n", - "[50.00] Client: Least accessed object was accessed 34 times.\n", - "[55.00] Client: Least accessed object was accessed 35 times.\n", - "[60.00] Client: Least accessed object was accessed 38 times.\n", - "[65.00] Client: Least accessed object was accessed 39 times.\n", - "[70.00] Client: Least accessed object was accessed 42 times.\n", - "[75.00] Client: Least accessed object was accessed 47 times.\n", - "[80.01] Client: Least accessed object was accessed 51 times.\n", - "[85.00] Client: Least accessed object was accessed 56 times.\n", - "[90.01] Client: Least accessed object was accessed 61 times.\n", - "[95.00] Client: Least accessed object was accessed 68 times.\n", - "[100.00] Client: Least accessed object was accessed 74 times.\n", - "[105.01] Client: Least accessed object was accessed 77 times.\n", - "[110.00] Client: Least accessed object was accessed 82 times.\n", - "[115.00] Client: Least accessed object was accessed 89 times.\n", - "[120.00] Client: Least accessed object was accessed 94 times.\n", - "[125.00] Client: Least accessed object was accessed 98 times.\n" + "Progress: 98%|█████████████████████████████████████████████████████████████████████████████████████████▏ | 98/100 [00:00<00:00, 187.17it/s]" ] }, { @@ -31675,7 +33723,7 @@ }, { "data": { - "image/png": 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", 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SUlKpN/hv2bKlHn30Ud1///26//771alTJ91+++0qLCzUhg0bZBiGOnToUOqdISpSTEyMOnTooDvuuEP+/v5as2aN9u3bp9tuu01Dhw51ruvdu7dGjRrlfCDIkCFDlJeXp5UrVyomJkZr16512e7gwYPVpEkTzZ8/X3v27FHbtm21b98+rV27VkOGDNGHH3542bXeddddmj59uubPn69atWq51Ffs1ltvVUBAgGJiYhQVFaWCggJt2LBBP/74o26//XZnUHfH4XBoyZIll3w4wx133KHJkydr2bJleuaZZ2S327Vs2TL16tVL9913n959913FxsYqNzdXycnJ2rlzpzPQ1q9fX++8846GDRumbt266U9/+pNatGihkydPauvWrWrSpIk+/vhjSdKAAQM0Y8YMzZ07V02bNtWAAQMUFRWl9PR0/fzzz/rmm2/05JNPqlWrVjp37pyuv/56NW/eXF26dFHjxo115swZrV27VqmpqZo6dap8fX2vuEfFOnbsqDVr1ugvf/mLhg0bpjlz5qhnz54KDg7WqVOn9J///EdJSUlq2rSp8z09e/bU/fffr5deeklt27bV0KFDZRiG/vnPf+q3337TpEmT1LNnT+f64rPcy5cvV5cuXTRgwAAdP35cq1ev1oABAy77QSvu9OnTRx9++KGGDh2qgQMHym63q0OHDs6n8AG4gCfv+QagZim+D/HFfm666SbDMM7fT3bx4sVGmzZtDLvdboSHhxtjxowxjh8/7vb+qMX3If7qq69KfG7xfYUPHjxYYs7dtorXHzhwwHj66aeNpk2bGjabzYiKijKeeOIJIy8vr8R2CgsLjXnz5hnXXHONYbPZjGuuucb4f//v/xk///xzqfchHjp0qBEaGmrUqlXLuO6664wVK1aUeg/ZS0lJSTGsVqshyRg+fLjbNYsWLTL+9Kc/GVFRUYbdbjdCQkKMbt26Ga+88oqRn59/0e2vW7fO5c/nYkaMGGFIMpYtW+YcS01NNR544AFnf4KDg43u3bsbzz33XIn379y50/jLX/5ihIWFGT4+PkaDBg2MgQMHGmvXri2xdsOGDcbgwYON0NBQw8fHxwgPDzdiY2ONuXPnGikpKYZhGEZ+fr7x97//3ejfv78RGRlp2Gw2IywszOjZs6exfPlyl4eJXEmPfi89Pd2YO3euERMTYwQFBRne3t5GSEiI0atXL+PFF190uX9ysbfeesu47rrrjFq1ajmPi7feesvt9s+ePWtMmjTJCAsLM3x9fY327dsby5Ytu+h9iEv784uKijKioqJcxgoKCoxp06YZjRs3Nry9vd0exwDOsxjG7/5tCQAAADARriEGAACAqRGIAQAAYGoEYgAAAJgagRgAAACmRiAGAACAqRGIAQAAYGo8mKMcHA6Hjh49qjp16shisXi6HAAAAPyOYRg6ffq0IiIinE+zLA2BuByOHj2qRo0aeboMAAAAXMLhw4cVGRl50TUE4nKoU6eOpPMNDggIKPP7HA6HTpw4odDQ0Ev+TcVs6I179KV09MY9+lI6euMefSkdvXGvpvQlOztbjRo1cua2iyEQl0PxZRIBAQGXHYhzc3MVEBBQrQ8gT6A37tGX0tEb9+hL6eiNe/SldPTGvZrWl7Jc3lr99wIAAACoRARiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgat6eLgAAAABXN4fDoeTkZGVkZCgoKEht2rSR1Vp9zssSiAEAAFBpEhIStHDxa9p36IjyC4tk8/ZSiyYNFT/uPvXo0cPT5UnikgkAAABUkoSEBE2bMUd7z9jVZOBYdRo1R00GjtW+HLumzZijhIQET5coiUAMAACASuBwOLRw8Ws6F9hEHQaPVmCDKHn7+CqwQZTa/3G0cus20aJXX5fD4fB0qQRiAAAAVLzk5GTtO3RE0df1k8VicZmzWCyK6tpXew/+puTkZA9V+H8IxAAAAKhwGRkZyi8skn+9cLfztUPClV9YpIyMjCqurCQCMQAAACpcUFCQbN5eyjmZ6nb+THqqbN5eCgoKquLKSiIQAwAAoMK1adNGLZo01KHvv5BhGC5zhmHo1+83qmV0pNq0aeOhCv8PgRgAAAAVzmq1Kn7cfbJnHtLutW8p89ghFebnKvPY+df2zEOaMPbeanE/Yu5DDAAAgErRo0cPzZ878/x9iP/9mvM+xC2jIzXhoZnV5j7EBGIAAABUmh49eigmJoYn1QEAAMC8rFar2rVr5+kySlV9ojkAAADgAZwhBgAAQKVyOBxcMgEAAABzSkhIOP+lukNHnF+qa9GkoeLH3VdtvlRXfaI5AAAArioJCQmaNmOO9p6xq8nAseo0ao6aDByrfTl2TZsxRwkJCZ4uURKBGAAAAJXA4XBo4eLXdC6wiToMHq3ABlHy9vFVYIMotf/jaOXWbaJFr74uh8Ph6VIJxAAAAKh4ycnJ2nfoiKKv6yeLxeIyZ7FYFNW1r/Ye/E3JyckeqvD/EIgBAABQ4TIyMpRfWCT/euFu52uHhCu/sEgZGRlVXFlJ1SoQP/HEE7JYLC4/LVu2dM7n5uYqPj5eISEhql27toYOHaq0tDSXbaSkpGjQoEGqVauW6tevr4cffliFhYUuazZt2qTOnTvL19dXTZs21dKlS6ti9wAAAEwjKChINm8v5ZxMdTt/Jj1VNm8vBQUFVXFlJVWrQCxJbdq00bFjx5w/3377rXPuwQcf1Jo1a7Rq1Spt3rxZR48e1W233eacLyoq0qBBg5Sfn6+EhAS9/fbbWrp0qWbOnOlcc/DgQQ0aNEi9e/fWrl27NHnyZN1zzz1at25dle4nAADA1axNmzZq0aShDn3/hQzDcJkzDEO/fr9RLaMj1aZNGw9V+H+qXSD29vZWeHi486devXqSpKysLL355pt67rnn1KdPH3Xp0kVLlixRQkKCtmzZIklav369fvzxR7333nvq2LGjBg4cqLlz52rhwoXKz8+XJC1evFjR0dF69tln1apVK02cOFG33367nn/+eY/tMwAAwNXGarUqftx9smce0u61bynz2CEV5ucq89j51/bMQ5ow9t5qcT/iancf4v379ysiIkJ2u12xsbGaN2+eGjdurO3bt6ugoED9+vVzrm3ZsqUaN26sxMRExcTEKDExUe3atVNYWJhzTVxcnMaPH6/k5GR16tRJiYmJLtsoXjN58uRSa8rLy1NeXp7zdXZ2tqTz3568nG9GOhwOGYZRLb5NWd3QG/foS+nojXv0pXT0xj36Ujp6497l9CUmJkZ/nzNDr7z2hvZ9/roKCovk4+2lVtGRGjdlhmJiYiqtv5ez3WoViLt3766lS5eqRYsWOnbsmGbPnq0bb7xRe/bsUWpqqmw2m+rWrevynrCwMKWmnr82JTU11SUMF88Xz11sTXZ2ts6dOyc/P78Sdc2bN0+zZ88uMX7ixAnl5uaWef8cDoeysrJkGEa1+NtQdUJv3KMvpaM37tGX0tEb9+hL6eiNe5fbl2uvvVbz5z2llJQUnTlzRrVr11bjxo1ltVp1/PjxSqvz9OnTZV5brQLxwIEDnb+3b99e3bt3V1RUlD744AO3QbWqTJ8+XVOmTHG+zs7OVqNGjRQaGqqAgIAyb8fhcMhisSg0NJT/Yv0OvXGPvpSO3rhHX0pHb9yjL6WjN+6Vty/h4e7vNlFZ7HZ7mddWq0D8e3Xr1lXz5s31888/6+abb1Z+fr4yMzNdzhKnpaU5GxweHq5t27a5bKP4LhQXrvn9nSnS0tIUEBBQauj29fWVr69viXGr1XrZ/wWxWCzlep8Z0Bv36Evp6I179KV09MY9+lI6euNeTejL5dRWffdC0pkzZ3TgwAE1aNBAXbp0kY+PjzZu3Oic37dvn1JSUhQbGytJio2NVVJSksvp9w0bNiggIECtW7d2rrlwG8VrircBAAAAc6lWgXjq1KnavHmzDh06pISEBA0ZMkReXl4aPny4AgMDNWbMGE2ZMkVfffWVtm/frlGjRik2NlYxMTGSpP79+6t169a666679MMPP2jdunV6/PHHFR8f7zzDO27cOP3yyy+aNm2a9u7dq0WLFumDDz7Qgw8+6MldBwAAgIdUq0smfvvtNw0fPlzp6ekKDQ3VDTfcoC1btig0NFSS9Pzzz8tqtWro0KHKy8tTXFycFi1a5Hy/l5eX1q5dq/Hjxys2Nlb+/v4aOXKk5syZ41wTHR2tTz/9VA8++KAWLFigyMhIvfHGG4qLi6vy/QUAAIDnVatAvGLFiovO2+12LVy4UAsXLix1TVRUlD777LOLbqdXr17auXNnuWoEAADA1aVaXTIBAAAAVDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTq7aB+Omnn5bFYtHkyZOdY7m5uYqPj1dISIhq166toUOHKi0tzeV9KSkpGjRokGrVqqX69evr4YcfVmFhocuaTZs2qXPnzvL19VXTpk21dOnSKtgjAAAAVEfVMhB/9913evXVV9W+fXuX8QcffFBr1qzRqlWrtHnzZh09elS33Xabc76oqEiDBg1Sfn6+EhIS9Pbbb2vp0qWaOXOmc83Bgwc1aNAg9e7dW7t27dLkyZN1zz33aN26dVW2fwAAAKg+ql0gPnPmjEaMGKHXX39dQUFBzvGsrCy9+eabeu6559SnTx916dJFS5YsUUJCgrZs2SJJWr9+vX788Ue999576tixowYOHKi5c+dq4cKFys/PlyQtXrxY0dHRevbZZ9WqVStNnDhRt99+u55//nmP7C8AAAA8y9vTBfxefHy8Bg0apH79+unJJ590jm/fvl0FBQXq16+fc6xly5Zq3LixEhMTFRMTo8TERLVr105hYWHONXFxcRo/frySk5PVqVMnJSYmumyjeM2Fl2b8Xl5envLy8pyvs7OzJUkOh0MOh6PM++ZwOGQYxmW9xyzojXv0pXT0xj36Ujp64x59KR29ca+m9OVy6qtWgXjFihXasWOHvvvuuxJzqampstlsqlu3rst4WFiYUlNTnWsuDMPF88VzF1uTnZ2tc+fOyc/Pr8Rnz5s3T7Nnzy4xfuLECeXm5pZ5/xwOh7KysmQYhqzWandy3qPojXv0pXT0xj36Ujp64x59KR29ca+m9OX06dNlXlttAvHhw4f1wAMPaMOGDbLb7Z4ux8X06dM1ZcoU5+vs7Gw1atRIoaGhCggIKPN2HA6HLBaLQkNDq/UB5An0xj36Ujp64x59KR29cY++lI7euFdT+nI5ebLaBOLt27fr+PHj6ty5s3OsqKhIX3/9tV5++WWtW7dO+fn5yszMdDlLnJaWpvDwcElSeHi4tm3b5rLd4rtQXLjm93emSEtLU0BAgNuzw5Lk6+srX1/fEuNWq/WyDwSLxVKu95kBvXGPvpSO3rhHX0pHb9yjL6WjN+7VhL5cTm3VZi/69u2rpKQk7dq1y/nTtWtXjRgxwvm7j4+PNm7c6HzPvn37lJKSotjYWElSbGyskpKSdPz4ceeaDRs2KCAgQK1bt3auuXAbxWuKtwEAAABzqTZniOvUqaO2bdu6jPn7+yskJMQ5PmbMGE2ZMkXBwcEKCAjQ/fffr9jYWMXExEiS+vfvr9atW+uuu+7S/PnzlZqaqscff1zx8fHOM7zjxo3Tyy+/rGnTpmn06NH68ssv9cEHH+jTTz+t2h0GAABAtVBtAnFZPP/887JarRo6dKjy8vIUFxenRYsWOee9vLy0du1ajR8/XrGxsfL399fIkSM1Z84c55ro6Gh9+umnevDBB7VgwQJFRkbqjTfeUFxcnCd2CQAAAB5WrQPxpk2bXF7b7XYtXLhQCxcuLPU9UVFR+uyzzy663V69emnnzp0VUSIAAABquGpzDTEAAADgCQRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBGAAAAKZGIAYAAICplSsQp6Sk6Ny5c6XOnzt3TikpKeUuCgAAAKgq5QrE0dHRWr16danz//rXvxQdHV3uogAAAICqUq5AbBjGRecLCgpktXI1BgAAAKo/77IuzM7OVmZmpvN1enq628siMjMztWLFCjVo0KBCCgQAAAAqU5kD8fPPP685c+ZIkiwWiyZPnqzJkye7XWsYhp588skKKRAAAACoTGUOxP3791ft2rVlGIamTZum4cOHq3Pnzi5rLBaL/P391aVLF3Xt2rXCiwUAAAAqWpkDcWxsrGJjYyVJOTk5Gjp0qNq2bVtphQEAAABVocyB+EKzZs2q6DoAAAAAjyhXIJakjIwMvf/++/rll1+UkZFR4s4TFotFb7755hUXCAAAAFSmcgXidevW6fbbb1dOTo4CAgIUFBRUYo3FYrni4gAAAIDKVq5A/NBDDyk8PFwfffSR2rVrV9E1AQAAAFWmXE/P+PnnnzVp0iTCMAAAAGq8cgXiZs2a6fTp0xVdCwAAAFDlyhWIn3zySS1atEiHDh2q4HIAAACAqlWua4g3btyo0NBQtWrVSjfffLMaNWokLy8vlzUWi0ULFiyokCIBAACAylKuQPzyyy87f1+7dq3bNQRiAAAA1ATlCsQOh6Oi6wAAAAA8olzXEAMAAABXCwIxAAAATK1cl0xYrdYyPYmuqKioPJsHAAAAqky5AvHMmTNLBOKioiIdOnRIH3/8sVq0aKE//vGPFVIgAAAAUJnKFYifeOKJUueOHTummJgYNW/evLw1AQAAAFWmwq8hbtCggcaNG6e5c+dW9KYBAACAClcpX6rz9/fXwYMHL/t9r7zyitq3b6+AgAAFBAQoNjZW//73v53zubm5io+PV0hIiGrXrq2hQ4cqLS3NZRspKSkaNGiQatWqpfr16+vhhx9WYWGhy5pNmzapc+fO8vX1VdOmTbV06dJy7ScAAABqvgoPxHv27NGLL75YrksmIiMj9fTTT2v79u36/vvv1adPH91yyy1KTk6WJD344INas2aNVq1apc2bN+vo0aO67bbbnO8vKirSoEGDlJ+fr4SEBL399ttaunSpZs6c6Vxz8OBBDRo0SL1799auXbs0efJk3XPPPVq3bt2V7zwAAABqnHJdQxwdHe32LhOZmZnKyspSrVq19PHHH1/2dgcPHuzy+qmnntIrr7yiLVu2KDIyUm+++aaWL1+uPn36SJKWLFmiVq1aacuWLYqJidH69ev1448/6osvvlBYWJg6duyouXPn6pFHHtETTzwhm82mxYsXKzo6Ws8++6wkqVWrVvr222/1/PPPKy4u7vKbAQAAgBqtXIH4pptuKhGILRaLgoKCdO2112rYsGEKDg6+osKKioq0atUq5eTkKDY2Vtu3b1dBQYH69evnXNOyZUs1btxYiYmJiomJUWJiotq1a6ewsDDnmri4OI0fP17Jycnq1KmTEhMTXbZRvGby5Mml1pKXl6e8vDzn6+zsbEnnn9h3OU/tczgcMgyDJ/25QW/coy+lozfu0ZfS0Rv36Evp6I17NaUvl1NfuQJxZV5zm5SUpNjYWOXm5qp27dpavXq1WrdurV27dslms6lu3bou68PCwpSamipJSk1NdQnDxfPFcxdbk52drXPnzsnPz69ETfPmzdPs2bNLjJ84cUK5ubll3jeHw6GsrCwZhiGrlWeiXIjeuEdfSkdv3KMvpaM37tGX0tEb92pKX06fPl3mteUKxL937tw5SXIbJi9XixYttGvXLmVlZenDDz/UyJEjtXnz5ive7pWYPn26pkyZ4nydnZ2tRo0aKTQ0VAEBAWXejsPhkMViUWhoaLU+gDyB3rhHX0pHb9yjL6WjN+7Rl9LRG/dqSl/sdnuZ15Y7EKekpGjWrFn67LPPdPLkSUlSvXr1NGjQIM2aNUtRUVHl2q7NZlPTpk0lSV26dNF3332nBQsW6I477lB+fr4yMzNdzhKnpaUpPDxckhQeHq5t27a5bK/4LhQXrvn9nSnS0tIUEBBQaqD39fWVr69viXGr1XrZB4LFYinX+8yA3rhHX0pHb9yjL6WjN+7Rl9LRG/dqQl8up7Zy7cXevXvVuXNnvfvuu+rcubMeeOABPfDAA+rSpYveeecdde3aVfv27SvPpktwOBzKy8tTly5d5OPjo40bNzrn9u3bp5SUFMXGxkqSYmNjlZSUpOPHjzvXbNiwQQEBAWrdurVzzYXbKF5TvA0AAACYS7nOED/66KOyWq3auXOn2rVr5zK3Z88e9e3bV48++qhWr159WdudPn26Bg4cqMaNG+v06dNavny5Nm3apHXr1ikwMFBjxozRlClTFBwcrICAAN1///2KjY1VTEyMJKl///5q3bq17rrrLs2fP1+pqal6/PHHFR8f7zzDO27cOL388suaNm2aRo8erS+//FIffPCBPv300/K0AgAAADVcuQLx5s2b9dBDD5UIw5LUtm1bTZw4Uc8999xlb/f48eO6++67dezYMQUGBqp9+/Zat26dbr75ZknS888/L6vVqqFDhyovL09xcXFatGiR8/1eXl5au3atxo8fr9jYWPn7+2vkyJGaM2eOc010dLQ+/fRTPfjgg1qwYIEiIyP1xhtvcMs1AAAAkypXIC4oKLjoF+hq1aqlgoKCy97um2++edF5u92uhQsXauHChaWuiYqK0meffXbR7fTq1Us7d+687PoAAABw9SnXNcSdOnXSG2+8oaysrBJz2dnZevPNN9W5c+crLg4AAACobOU6Qzx79mwNGDBALVu21KhRo5yPad63b5/efvttpaenX/QsLgAAAFBdlCsQ9+nTR5999pkefvhhPf300y5zHTt21LvvvqvevXtXSIEAAABAZSr3fYj79eunnTt3KjU1Vb/++quk89fvFt/vFwAAAKgJrvhJdeHh4YRgAAAA1Fhl/lLd/v37ZbfbNW3atIuue/jhh+Xn56eDBw9ecXEAAABAZStzIH7xxRcVHh6up5566qLrnnrqKYWHh+vFF1+84uIAAACAylbmQLx+/XoNGzZMPj4+F11ns9k0bNgw/fvf/77i4gAAAIDKVuZAnJKSohYtWpRpbbNmzZxftAMAAACqszIHYl9fX505c6ZMa3NycmSz2cpdFAAAAFBVyhyIW7ZsqS+++KJMazdu3KhWrVqVuygAAACgqpQ5EN9xxx1au3atPv7444uu++STT7R27VrdcccdV1obAAAAUOnKHIgnTJigTp066c9//rPGjx+v//znP8rOzpZhGMrOztZ//vMfjR8/Xrfffrs6dOigCRMmVGbdAAAAQIUo84M5fH19tW7dOo0cOVKvvvqqXnvttRJrDMPQgAED9M4778jX17dCCwUAAAAqw2U9qS4kJERr167Vtm3b9K9//Us//fSTsrOzFRAQoJYtW2rw4MGKiYmprFoBAACACleuRzd369ZN3bp1q+haAAAAgCpX5muIAQAAgKsRgRgAAACmRiAGAACAqRGIAQAAYGoEYgAAAJhahQbiX375RT/99FNFbhIAAACoVOUKxC+++KKGDRvmMjZq1Cg1a9ZMbdu2VdeuXXX8+PEKKRAAAACoTOUKxG+88YbCwsKcr9etW6e3335b9913n1566SX98ssvmj17doUVCQAAAFSWcj2Y49dff1WrVq2crz/44ANFR0frlVdekSSlpqbq3XffrZgKAQAAgEpUrjPEhmG4vF6/fr0GDhzofN2kSROlpqZeWWUAAABAFShXIG7evLlWr14t6fzlEkePHnUJxL/99pvq1q1bIQUCAAAAlalcl0xMnTpVd955p4KCgpSTk6NWrVopLi7OOf/ll1+qY8eOFVUjAAAAUGnKFYiHDRumkJAQffbZZ6pbt64mTJggb+/zmzp16pSCg4N11113VWihAAAAQGUoVyCWpJtvvlk333xzifHg4GB99NFHV1QUAAAAUFXKHYh/7+zZs1qxYoXy8vL0hz/8QVFRURW1aQAAAKDSlCsQjxkzRlu3btWePXskSfn5+YqJiXG+DgwM1JdffqlOnTpVXKUAAABAJSjXXSa++uor3Xbbbc7Xy5cv1549e7Rs2TLt2bNH4eHhPJgDAAAANUK5AnFqaqqaNGnifP3xxx+ra9euGj58uFq3bq17771XW7duragaAQAAgEpTrkDs7++vzMxMSVJhYaE2bdrkctu1OnXqKCsrq0IKBAAAACpTua4h7ty5s15//XX17t1b//rXv3T69GkNHjzYOX/gwAGFhYVVWJEAAABAZSlXIH7qqacUFxenrl27yjAM3X777erWrZtzfvXq1br++usrrEgAAACgspQrEHft2lV79+5VQkKC6tatq5tuusk5l5mZqQkTJriMAQAAANVVue9DHBoaqltuuaXEeN26dfXAAw9cUVEAAABAVSnXl+okqaioSCtWrNDYsWM1ZMgQJSUlSZKysrL00UcfKS0trcKKBAAAACpLuQJxZmamrr/+et155516//339a9//UsnTpyQJNWuXVuTJk3SggULKrRQAAAAoDKUKxA/+uijSk5O1rp16/TLL7/IMAznnJeXl26//XZ99tlnFVYkAAAAUFnKFYg//vhj3X///br55ptlsVhKzDdv3lyHDh260toAAACASleuQJyVlaXo6OhS5wsKClRYWFjuogAAAICqUq5AfO2112rHjh2lzq9fv16tW7cud1EAAABAVSlXIL7nnnv01ltvaeXKlc7rhy0Wi/Ly8vTYY4/p888/19ixYyu0UAAAAKAylOs+xA888ICSk5M1fPhw1a1bV5J05513Kj09XYWFhRo7dqzGjBlTkXUCAAAAlaJcgdhisej111/XyJEj9eGHH2r//v1yOBy69tpr9Ze//EU9e/as6DoBAACASlHuJ9VJ0g033KAbbrihomoBAAAAqly5riE+ePCg1qxZU+r8mjVruO0aAAAAaoRynSGeOnWqsrOzNXjwYLfzCxcuVN26dbVixYorKg4AAACobOU6Q5yYmKibb7651Pm+ffvqm2++KXdRAAAAQFUpVyDOyMhQnTp1Sp2vXbu20tPTy10UAAAAUFXKFYgbN26s//znP6XOf/PNN4qMjCx3UQAAAEBVKVcgHj58uN5//329+OKLcjgczvGioiItWLBAK1eu1J133llhRQIAAACVpVxfqps+fbq+/fZbTZ48WU899ZRatGghSdq3b59OnDihXr166bHHHqvQQgEAAIDKUK4zxL6+vlq/fr3efPNNdevWTSdPntTJkyfVrVs3vfXWW/riiy/k6+tb0bUCAAAAFa7cD+awWq0aNWqURo0aVZH1AAAAAFWqXGeIT506pd27d5c6n5SUpIyMjHIXBQAAAFSVcgXiBx98UPfdd1+p82PHjtXUqVPLXRQAAABQVcoViL/88kv96U9/KnV+8ODB+uKLL8pdFAAAAFBVyhWIT5w4oXr16pU6HxISouPHj5e7KAAAAKCqlCsQN2jQQDt37ix1fvv27QoNDS13UQAAAEBVKVcgvvXWW/Xmm2/qX//6V4m5Tz75REuWLNGQIUOuuDgAAACgspXrtmtPPPGEvvjiCw0ZMkQdOnRQ27ZtJUl79uzRDz/8oFatWmn27NkVWigAAABQGcp1hjgwMFBbtmzR448/roKCAn344Yf68MMPVVBQoBkzZmjr1q2qW7duBZcKAAAAVLxyP5jD399fs2fPLvVMcEZGhoKCgspdGAAAAFAVynWGuDR5eXlatWqVbr31VjVo0KAiNw0AAABUinKfIS5mGIY2btyoZcuWafXq1crOzlZoaKjuvPPOiqgPAAAAqFTlDsTbt2/XsmXLtGLFCqWmpspisWjYsGGaOHGiYmJiZLFYKrJOAAAAoFJcViD+5ZdftGzZMi1btkz79+9Xw4YNNWLECHXr1k133HGHhg4dqtjY2MqqFQAAAKhwZb6GODY2Vs2aNdPLL7+svn37avPmzUpJSdE//vEPde7cuUKKmTdvnq677jrVqVNH9evX16233qp9+/a5rMnNzVV8fLxCQkJUu3ZtDR06VGlpaS5rUlJSNGjQINWqVUv169fXww8/rMLCQpc1mzZtUufOneXr66umTZtq6dKlFbIPAAAAqFnKHIi3bt2qJk2a6LXXXtOCBQt0ww03VHgxmzdvVnx8vLZs2aINGzaooKBA/fv3V05OjnPNgw8+qDVr1mjVqlXavHmzjh49qttuu805X1RUpEGDBik/P18JCQl6++23tXTpUs2cOdO55uDBgxo0aJB69+6tXbt2afLkybrnnnu0bt26Ct8nAAAAVG9lvmTi5Zdf1vLlyzVkyBAFBwdr6NChGjZsmHr16lVhxXz++ecur5cuXar69etr+/bt6tmzp7KysvTmm29q+fLl6tOnjyRpyZIlatWqlbZs2aKYmBitX79eP/74o7744guFhYWpY8eOmjt3rh555BE98cQTstlsWrx4saKjo/Xss89Kklq1aqVvv/1Wzz//vOLi4ipsfwAAAFD9lTkQT5gwQRMmTNDBgwe1bNkyLV++XK+//rrCw8PVu3dvWSyWCv8iXVZWliQpODhY0vkv8hUUFKhfv37ONS1btlTjxo2VmJiomJgYJSYmql27dgoLC3OuiYuL0/jx45WcnKxOnTopMTHRZRvFayZPnuy2jry8POXl5TlfZ2dnS5IcDoccDkeZ98fhcMgwjMt6j1nQG/foS+nojXv0pXT0xj36Ujp6415N6cvl1HfZd5mIjo7W448/rscff9x5p4mVK1fKMAxNmDBB//73v/WnP/1J/fr1k91uv9zNOzkcDk2ePFnXX3+989HQqampstlsJZ6CFxYWptTUVOeaC8Nw8Xzx3MXWZGdn69y5c/Lz83OZmzdvntsHkJw4cUK5ubmXtU9ZWVkyDENWa4XeArrGozfu0ZfS0Rv36Evp6I179KV09Ma9mtKX06dPl3ntFd2HuEuXLurSpYueeeYZffnll3rvvfe0cuVKvfHGG6pVq5bOnDlT7m3Hx8drz549+vbbb6+kxAoxffp0TZkyxfk6OztbjRo1UmhoqAICAsq8HYfDIYvFotDQ0Gp9AHkCvXGPvpSO3rhHX0pHb9yjL6WjN+7VlL5czonZK34whyRZrVb169dP/fr10+LFi/XJJ59o+fLl5d7exIkTtXbtWn399deKjIx0joeHhys/P1+ZmZkuZ4nT0tIUHh7uXLNt2zaX7RXfheLCNb+/M0VaWpoCAgJKnB2WJF9fX/n6+pYYt1qtl30gWCyWcr3PDOiNe/SldPTGPfpSOnrjHn0pHb1xryb05XJqq/C9sNvtuuOOO/TJJ59c9nsNw9DEiRO1evVqffnll4qOjnaZ79Kli3x8fLRx40bn2L59+5SSkuK8/3FsbKySkpJ0/Phx55oNGzYoICBArVu3dq65cBvFa7iHMgAAgPlUyBniihIfH6/ly5frk08+UZ06dZzX/AYGBsrPz0+BgYEaM2aMpkyZouDgYAUEBOj+++9XbGysYmJiJEn9+/dX69atddddd2n+/PlKTU3V448/rvj4eOdZ3nHjxunll1/WtGnTNHr0aH355Zf64IMP9Omnn3ps3wEAAOAZ1eo89yuvvKKsrCz16tVLDRo0cP6sXLnSueb555/XH//4Rw0dOlQ9e/ZUeHi4PvroI+e8l5eX1q5dKy8vL8XGxuqvf/2r7r77bs2ZM8e5Jjo6Wp9++qk2bNigDh066Nlnn9Ubb7zBLdcAAABMqFqdITYM45Jr7Ha7Fi5cqIULF5a6JioqSp999tlFt9OrVy/t3LnzsmsEAADA1aVanSEGgLJwOBzas2eP86e63wsTAFC9VaszxABwKQkJCVq4+DX999ejatK4kQ6lHFbzqAjFj7tPPXr08HR5AIAaiDPEAGqMhIQETZsxR3vP2NVkwH26pt8INRlwn/bl2DVtxhwlJCR4ukQAQA1EIAZQIzgcDi1c/JrOBTZRh8GjFdigsby8fRTYoLHa/3G0cus20aJXX+fyCQDAZSMQA6gRkpOTte/QEUVf108Wi8VlzmKxKKprX+09+JuSk5M9VCEAoKYiEAOoETIyMpRfWCT/euFu52uHhCu/sEgZGRlVXBkAoKYjEAOoEYKCgmTz9lLOyVS382fSU2Xz9lJQUFAVVwYAqOkIxABqhDZt2qhFk4Y69P0XJe5ZbhiGfv1+o1pGR6pNmzYeqhAAUFMRiAHUCFarVfHj7pM985B2r31Lmcd+VVFBvjKP/arda9+SPfOQJoy9V1Yr/7MGALg8/D8HgBqjR48emj93plr45+rXz1/XLxuX69fPX1fL2nmaP3cm9yEGAJQLD+YAUKP06NFDMTEx2rNnj44fP6769eurbdu2nBkGAJQbgRhAjWO1WtW2bVtnICYMAwCuBP8vAgAAAFMjEAMAAMDUCMQAAAAwNQIxAAAATI1ADAAAAFMjEAMAAMDUCMQAAAAwNQIxAAAATI1ADAAAAFMjEAMAAMDUCMQAAAAwNQIxAAAATI1ADAAAAFMjEAMAAMDUCMQAAAAwNQIxAAAATI1ADAAAAFMjEAMAAMDUCMQAAAAwNW9PFwCg+nA4HEpOTlZGRoaCgoLUpk0bWa38vRkAcHUjEAOQJCUkJGjh4te079AR5RcWyebtpRZNGip+3H3q0aOHp8sDAKDScOoHgBISEjRtxhztPWNXk4Fj1WnUHDUZOFb7cuyaNmOOEhISPF0iAACVhkAMmJzD4dDCxa/pXGATdRg8WoENouTt46vABlFq/8fRyq3bRItefV0Oh8PTpQIAUCkIxMBVxuFwKCkpSV9//bWSkpIuGWSTk5O179ARRV/XTxaLxWXOYrEoqmtf7T34m5KTkyuzbAAAPIZriIGrSHmuA87IyFB+YZH864W7na8dEq78wiJlZGRUZukAAHgMZ4iBq0TxdcA/nfZVUKcBirj+NgV1GqC9Z3wveh1wUFCQbN5eyjmZ6nb+THqqbN5eCgoKqszyAQDwGM4QA1eB4uuATxTaVXTiqH7bnyTDIVmsUkDdEOV427Xo1dcVExNT4jZqbdq0UYsmDbXv+y/U/o+jXS6bMAxDv36/US2jI9WmTZuq3i0AAKoEZ4iBq0BycrK2707WqbQjOmsLUkCHAQq67hYFdBigs7Ygpace0fc/7HF7HbDValX8uPtkzzyk3WvfUuaxQyrMz1XmsfOv7ZmHNGHsvdyPGABw1eIMMXAVSE9PV1pqqrwatlFeZppO/7bPOWerXVcW/xClHf1R6enpbt/fo0cPzZ878/z1x/9+zXn9ccvoSE14aCb3IQYAXNUIxMBVID09XXkFhbKcSpW9cTsFdxsq78D6Ksw6rjM/faNzKUky8gtKDcTS+VAcExPDk+oAAKZDIAauAkFBQXIUFsge0VJB1w9zXgdsC4lU0PXDdLIwX7mnjlzyi3FWq1Xt2rWripIBAKg2OPUDXAUyMjLkZfeX/zVdVJSfK8PhkAzJcDhUlJ8r/+jO8rLX4tZpAAC4wRli4CoQEhIiu5+ffPz85WUxVJR31jnn5WWVT63asvvVUkhIiAerBACgeiIQA1eBkJAQ1Q8JUl72MVlsvqpVJ0hWbx85CguUfzpDlqxjqh9Sl0AMAIAbBGLgKtCmTRt1btNCO0+myBbWSDnpR2QYhiwWi/z9fJV/+rA6t23JvYQBAHCDa4iBq0DxvYSD89LkfXiHrqlfW62aRuma+rXlfXiHgvPSuJcwAACl4AwxcJVwuZfw18td7yU8lXsJAwBQGgIxcBXhXsIAAFw+AjFwleFewgAAXB5OGwEAAMDUCMQAAAAwNQIxAAAATI1ADAAAAFMjEAMAAMDUCMQAAAAwNW67BlQyh8PBfYEBAKjGCMRAJUpISDj/5LhDR5xPjmvRpKHix93Hk+MAAKgmOE0FVJKEhARNmzFHe8/Y1WTgWHUaNUdNBo7Vvhy7ps2Yo4SEBE+XCAAARCAGKoXD4dDCxa/pXGATdRg8WoENouTt46vABlFq/8fRyq3bRItefV0Oh8PTpQIAYHoEYqASJCcna9+hI4q+rp8sFovLnMViUVTXvtp78DclJyd7qEIAAFCMQAxUgoyMDOUXFsm/Xrjb+doh4covLFJGRkYVVwYAAH6PQAxUgqCgINm8vZRzMtXt/Jn0VNm8vRQUFFTFlQEAgN8jEAOVoE2bNmrRpKEOff+FDMNwmTMMQ79+v1EtoyPVpk0bD1UIAACKEYiBSmC1WhU/7j7ZMw9p99q3lHnskArzc5V57Pxre+YhTRh7L/cjBgCgGuA+xEAZXe4DNnr06KH5c2eevw/xv19z3oe4ZXSkJjw0k/sQAwBQTRCIgTIo7wM2evTooZiYGJ5UBwBANUYgBi6h+AEbZwOiFNJpgLxsvirKz9Pew//VtBlzNH/uxc/2Wq1WtWvXrgorBgAAl4NADFxE8QM2ThTaVXTiqH7bnyTDIVmsUkDdEOV427Xo1dcVExPDWV8AAGooAjFwEcnJydq+O1mnciVbw9aq33eIbIFhys9KU8aezco/8qO+zzyi5ORkzgIDAFBDVatTWl9//bUGDx6siIgIWSwWffzxxy7zhmFo5syZatCggfz8/NSvXz/t37/fZc2pU6c0YsQIBQQEqG7duhozZozOnDnjsmb37t268cYbZbfb1ahRI82fP7+ydw01VHp6utJSU+UT0UrhN42QvV4jWX1sstdrpPCbRsgnopXS0tKUnp7u6VIBAEA5VatAnJOTow4dOmjhwoVu5+fPn68XX3xRixcv1tatW+Xv76+4uDjl5uY614wYMULJycnasGGD1q5dq6+//lr33Xefcz47O1v9+/dXVFSUtm/frn/84x964okn9Nprr1X6/qHmSU9PV6HFW3VaxLh9BHOd5jEqlBeBGACAGqxaXTIxcOBADRw40O2cYRh64YUX9Pjjj+uWW26RJL3zzjsKCwvTxx9/rGHDhumnn37S559/ru+++05du3aVJL300kv6wx/+oGeeeUYRERFatmyZ8vPz9dZbb8lms6lNmzbatWuXnnvuOZfgDEhSSEiIbL6+KjSsMiRdGIkNSYWyyOZrV0hIiIcqBAAAV6paBeKLOXjwoFJTU9WvXz/nWGBgoLp3767ExEQNGzZMiYmJqlu3rjMMS1K/fv1ktVq1detWDRkyRImJierZs6dsNptzTVxcnP7+9787b4v1e3l5ecrLy3O+zs7OlnT+C1cOh6PM++BwOGQYxmW9xyyqa2+Cg4MVXi9YeVlHdMbHR7UC68lq85UjP09ns05KmUcUXi9IwcHBlVJ7de1LdUBv3KMvpaM37tGX0tEb92pKXy6nvhoTiFNTUyVJYWFhLuNhYWHOudTUVNWvX99l3tvbW8HBwS5roqOjS2yjeM5dIJ43b55mz55dYvzEiRMul2tcisPhUFZWlgzD4I4Ev1Nde1OvXj0N7NtTv2TnyzvUS3n5J2TkGbJYLPIN9VZhYYGu7XuT6tWrp+PHj1f451fXvlQH9MY9+lI6euMefSkdvXGvpvTl9OnTZV5bYwKxJ02fPl1Tpkxxvs7OzlajRo0UGhqqgICAMm/H4XDIYrEoNDS0Wh9AnlCdezPkT4P16KwnlXs8WyGtuskWEKy806d09Ietsmcd0kOzH1d4eHilfHZ17oun0Rv36Evp6I179KV09Ma9mtIXu91e5rU1JhAXB460tDQ1aNDAOZ6WlqaOHTs61/z+LF1hYaFOnTrlfH94eLjS0tJc1hS/Li3U+Pr6ytfXt8S41Wq97APBYrGU631mUF17c/311+vvc2acf1Ld18t/9wjmGZX+CObq2pfqgN64R19KR2/coy+lozfu1YS+XE5tNSYQR0dHKzw8XBs3bnQG4OzsbG3dulXjx4+XJMXGxiozM1Pbt29Xly5dJElffvmlHA6Hunfv7lzz2GOPqaCgQD4+PpKkDRs2qEWLFm4vlwAkHsEMAMDVrFoF4jNnzujnn392vj548KB27dql4OBgNW7cWJMnT9aTTz6pZs2aKTo6WjNmzFBERIRuvfVWSVKrVq00YMAA3XvvvVq8eLEKCgo0ceJEDRs2TBEREZKkO++8U7Nnz9aYMWP0yCOPaM+ePVqwYIGef/55T+wyahAewQwAwNWpWgXi77//Xr1793a+Lr5ud+TIkVq6dKmmTZumnJwc3XfffcrMzNQNN9ygzz//3OUakWXLlmnixInq27evrFarhg4dqhdffNE5HxgYqPXr1ys+Pl5dunRRvXr1NHPmTG65BgAAYFLVKhD36tVLhmGUOm+xWDRnzhzNmTOn1DXBwcFavnz5RT+nffv2+uabb8pdJwAAAK4eXAAJAAAAUyMQAwAAwNQIxAAAADA1AjEAAABMjUAMAAAAUyMQAwAAwNQIxAAAADA1AjEAAABMjUAMAAAAUyMQAwAAwNQIxAAAADA1AjEAAABMjUAMAAAAUyMQAwAAwNQIxAAAADA1AjEAAABMjUAMj3M4HNqzZ4/zx+FweLokAABgIt6eLgDmlpCQoJdfeVVJP+1XkyaNdehQitq1aqaJ48eqR48eni4PAACYAIEYHpOQkKBxkx7UkfQzkpdNIfmGjmae09Fvv9een/Zq8YvPE4oBAECl45IJeITD4dATc57Ugd/S5AiJlm+HgbK3vEm+HQbKERKtA7+lafbcp7h8AgAAVDrOEMMjkpKStHX7TnlFdlDtLn+SPaCefEN85G+Ey6teE2UVFWrL9zuUlJSkDh06eLpcAABwFeMMMTxi+/btyi2S/Jv3kD0kUlabr2S1yGrzlT0kUv7Neyi36Pw6AACAykQghkccOXJEhpePfMOvlSy/m7RIvmHXyvDy0ZEjRzxSHwAAMA8CMTyiYcOGsjiKVJB90u18wemTsjiK1LBhwyquDAAAmA2BGB7RpUsX+XkZyvnpaxXknpXhcEiGZDgcKsg9q5yfvpaf1/l1AAAAlYkv1cEj2rVrp26dOyph9w/K9vaRf7PuKvQL17nUVOXs36rClB90fZeOateunadLBQAAVzkCMTzCarXqiZmPn78P8ZEknT2xX2czWursT3tlzc/VNREhmjXjMVmt/CMGAACoXKQNVBiHw6GkpCR9/fXXSkpKuuQ9hHv06KHFLz6vuBu6KqKOr2p7Fymijq/ibryOh3IAAIAqwxliVIjiRzD/8ON/lZuXJ7uvrzq0bn7JRzD36NFDMTEx2rNnj44fP6769eurbdu2nBkGAABVhkCMK3bhI5gttlqSl6+yzhRqXRkfwWy1WtW2bVtnICYMAwCAqkQgxhUpfgTzodQM1WkRq6C2N8kWGKb8rDRl7NmsQ/sSNXvuU/r3p2sIugAAoFoioeCKJCUlafvuZPlfe53Cbxohe71GsvrYZK/XSOE3jVCta7tq+w97lJSU5OlSAQAA3CIQ44rs2LFDeQ6Lgjr0lsXi+sg5i8Wi4PZ9lOuwaMeOHR6qEAAA4OIIxLhiFi9vedWq63bOq1agLF5cmQMAAKovAjGuSOfOnWX3tir78D4Zv5szJGX/tk92b6s6d+7sifIAAAAuiUCMK9KuXTt1bt1cOf9NUFbqryrIOyeH4VBB3jllpf6qnP8mqnOb5jxxDgAAVFv8WzZKcDgcSk5OVkZGhoKCgtSmTZtS7xBhtVo1a8b/aPzkh3VixxoVNGonL/+6KsrJVMHhJDW0ZGrW4//gDhMAAKDaIhDDRXkesNGjRw+98sI/9PIrr2r33k3KLShSLR8vdWjVVPHjHuGJcwAAoFojEMOp+AEbv508rfyCQhmyyKIzOpb+3SUfsFH8xLmynlkGAACoLgjEkPR/D9j47y8p8o5oJd/G7Z2XPuSl7NZ/f/npkg/YsFqtXCsMAABqHAIxJJ1/wMY3CYnybtxJ/u1ulsXbRxaLVVZ7bXkHhumMpK//k6CkpCR16NDB0+UCAABUGP49G5Kkbdu2qUDe8m3SSV61g+QT0kg+9aPlE9JIXrWDZG/SUQUWb23bts3TpQIAAFQoAjEkSRs3bpTF2yZbvSj51I2Q1beWLF4+svrWkk/dCNnqRcniZdPGjRs9XSoAAECFIhBDkpSVlSXDUSTDKJKsxY9g/t9HbVgt5+ccRcrKyvJYjQAAAJWBQAxJUkBAgIyCXJ37eZsMQ5Iszh/DkM4d+E5GQa4CAgI8WygAAEAFIxBDktSiRQtJVuWm7FZ24koVpB+WoyBPBemHlZ24UrkpuyVZ/3cdAADA1YO7TECS5OXlJcNRIKvNX/nHDynv6D7JYpEMQxYfX1lt/jIcBfLy8vJ0qQAAABWKQAxJUmRkpKxWiwqzjsk3sq18gprL4uUjo6hABRnHlHdyj6xWiyIjIz1dKgAAQIUiEF/FCgsL9cknn+jo0aOKiIjQLbfcIm9v93/kXbt2Ve06gTpn+Kjg+C8qTE+RLFbJcEhFhbJ6+civTqC6du1axXsBAABQuQjEV6lXX31V/2/+s0o9lS3DOH/1Q/i06fqfaQ9p7NixJda3a9dO3Tt10JZDp+SQVUU5mTKMQlksXvIKrC+ritQ9Opgn0QEAgKsOgfgq9Oqrr2rSw9NVZKsjq7evZLHKMBw6kpWnSQ9Pl6QSodhqtWrWjP/R+MkP67g1WGrcWrJ6S45CKStV9R3pmvX4/5T62GYAAICainRzlSksLNRD06arSFb5hl2jOtcNUd3eo1TnuiHyDbtGRbLqoWnTVVhYWOK9PXr00Csv/EO9mwUp5NSP8j+2UyGnflSf5sF65YV/qEePHh7YIwAAgMrFGeKrzKpVq5Rz7pz8m/dQnW5D5B0QKqvNT478c7KFN9Vpi0U5/03UqlWrNHz48BLv79Gjh2JiYpScnKyMjAwFBQWpTZs2nBkGAABXLQLxVWbRokXy8qujWi2vly20iXPc6usvW6i/arW4XrmH92jRokVuA7F0/vIJrhUGAABmwWm/q0xSUpIs3r6yhTdzO28Lby6Lt6+SkpKquDIAAIDqiUB8lfH29pbhKJTj3GlJksVicf5IUtG5bBmOwlJvvwYAAGA2BOKrTOvWreXIO6ucHzfJMIwSP2d/2ixH3lm1bt3a06UCAABUCwTiq8z06dNlFOTq7M9blZ24UgXph+UoyFNB+mFlJ67U2Z+3yijI1fTp0z1dKgAAQLXAv5vXALm5uZoxY4YOHjyo6OhozZ07V3a73e3ayMhI1fKrpdycDJ3d9x/lpiTJ4m2TUZgvx7lsOc5kqJZfLR7BDAAA8L8IxNXciBEjtPyDf8ri5SOL1SLDYeiZF17SnX8ZqmXLlpVY36ZNG9166y36ZN1XyslIk/VctixWLxmOIjnyz8m/bqhuHdBHbdq08cDeAAAAVD8E4mqsOAzLx1dWn/NPnLMYDhUVWM+PSyVCsdVqVfy4+/TrkVSd9r9Z6UcO6VxOlvz8AxXSsInq5PymCWPv5b7CAAAA/4tUVE3l5uZq+fsrZbX5yts/SF61Q+QdEHr+P/2DZLX5avn7K5Wbm1vivT169ND8uTPVtm6hwv0tahhcR+H+FrULKtL8uTN54hwAAMAFOENcTY0fP17y8pbVt47ska1lb9xeXrWDVHQmQ7kpu5X762458vM0fvx4LVmypMT7eeIcAABA2RCIq6mlS5fK4usv30ZtVKfrLfKuE+L8cpxP/WgZRYUq+m+ili5d6jYQSzxxDgAAoCw4XViNWX395d+ih3yCG8riYz9/DbGPXT7BDVWr5fWy+tbydIkAAAA1HmeIqzGLt00+9a85//v/PmlOkgzDkK3+NbJ42zxVGgAAwFWDM8TVmOEoVOHpk+d/v+Bpc5JUmH1ChqPQk+UBAABcFQjE1ZgjN0dnf/pajryzkqNIkiE5iuTIO6uze7+RIzfH0yUCAADUeATiamrx4sUyCnJ17sD3ytrygfKO7VfRmVPKO7ZfWVs+0LkD38soyNXixYs9XSoAAECNxjXE1dSYMWM0bvwEFeVk6tz+bco7nCyLl4+MogI58s6qKCdTchRpzJgxni4VAACgRuMMcTXl7e2txa8sklFwToVZx8//ZB773/9Mk1FwTotfWSRvb/5OAwAAcCVMHYgXLlyoJk2ayG63q3v37tq2bZunS3IxduxYLV60UA0iGsiRl6Ois1ly5OUoomGEFi9aqLFjx3q6RAAAgBrPtKcXV65cqSlTpmjx4sXq3r27XnjhBcXFxWnfvn2qX7++p8tzGjt2rMaMGaNPPvlER48eVUREhG655RbODAMAAFQQ06aq5557Tvfee69GjRol6fyX2D799FO99dZbevTRRz1cnStvb28NHTrU02UAAABclUwZiPPz87V9+3ZNnz7dOWa1WtWvXz8lJiaWWJ+Xl6e8vDzn6+zsbEmSw+GQw+Eo8+c6HA4ZhnFZ7zELeuMefSkdvXGPvpSO3rhHX0pHb9yrKX25nPpMGYhPnjypoqIihYWFuYyHhYVp7969JdbPmzdPs2fPLjF+4sQJ5ebmlvlzHQ6HsrKyZBiGrFZTX75dAr1xj76Ujt64R19KR2/coy+lozfu1ZS+nD59usxrTRmIL9f06dM1ZcoU5+vs7Gw1atRIoaGhCggIKPN2HA6HLBaLQkNDq/UB5An0xj36Ujp64x59KR29cY++lI7euFdT+mK328u81pSBuF69evLy8lJaWprLeFpamsLDw0us9/X1la+vb4lxq9V62QeCxWIp1/vMgN64R19KR2/coy+lozfu0ZfS0Rv3akJfLqe26rsXlchms6lLly7auHGjc8zhcGjjxo2KjY31YGUAAACoaqY8QyxJU6ZM0ciRI9W1a1d169ZNL7zwgnJycpx3nQAAAIA5mDYQ33HHHTpx4oRmzpyp1NRUdezYUZ9//nmJL9oBAADg6mbaQCxJEydO1MSJEz1dBgAAADzIlNcQAwAAAMUIxAAAADA1AjEAAABMjUAMAAAAUyMQAwAAwNRMfZeJ8jIMQ9L5RzhfDofDodOnT8tut1frJ7t4Ar1xj76Ujt64R19KR2/coy+lozfu1ZS+FOe04tx2MQTicjh9+rQkqVGjRh6uBAAAABdz+vRpBQYGXnSNxShLbIYLh8Oho0ePqk6dOrJYLGV+X3Z2tho1aqTDhw8rICCgEiuseeiNe/SldPTGPfpSOnrjHn0pHb1xr6b0xTAMnT59WhEREZc8k80Z4nKwWq2KjIws9/sDAgKq9QHkSfTGPfpSOnrjHn0pHb1xj76Ujt64VxP6cqkzw8Wq74UfAAAAQBUgEAMAAMDUCMRVyNfXV7NmzZKvr6+nS6l26I179KV09MY9+lI6euMefSkdvXHvauwLX6oDAACAqXGGGAAAAKZGIAYAAICpEYgBAABgagRiAAAAmBqBuAotXLhQTZo0kd1uV/fu3bVt2zZPl+RxTzzxhCwWi8tPy5YtPV1Wlfv66681ePBgRUREyGKx6OOPP3aZNwxDM2fOVIMGDeTn56d+/fpp//79nim2il2qN3/7299KHEMDBgzwTLFVaN68ebruuutUp04d1a9fX7feeqv27dvnsiY3N1fx8fEKCQlR7dq1NXToUKWlpXmo4qpRlr706tWrxDEzbtw4D1VcdV555RW1b9/e+TCF2NhY/fvf/3bOm/F4kS7dF7MeL7/39NNPy2KxaPLkyc6xq+mYIRBXkZUrV2rKlCmaNWuWduzYoQ4dOiguLk7Hjx/3dGke16ZNGx07dsz58+2333q6pCqXk5OjDh06aOHChW7n58+frxdffFGLFy/W1q1b5e/vr7i4OOXm5lZxpVXvUr2RpAEDBrgcQ++//34VVugZmzdvVnx8vLZs2aINGzaooKBA/fv3V05OjnPNgw8+qDVr1mjVqlXavHmzjh49qttuu82DVVe+svRFku69916XY2b+/PkeqrjqREZG6umnn9b27dv1/fffq0+fPrrllluUnJwsyZzHi3TpvkjmPF4u9N133+nVV19V+/btXcavqmPGQJXo1q2bER8f73xdVFRkREREGPPmzfNgVZ43a9Yso0OHDp4uo1qRZKxevdr52uFwGOHh4cY//vEP51hmZqbh6+trvP/++x6o0HN+3xvDMIyRI0cat9xyi0fqqU6OHz9uSDI2b95sGMb5Y8THx8dYtWqVc81PP/1kSDISExM9VWaV+31fDMMwbrrpJuOBBx7wXFHVSFBQkPHGG29wvPxOcV8Mg+Pl9OnTRrNmzYwNGza49OJqO2Y4Q1wF8vPztX37dvXr1885ZrVa1a9fPyUmJnqwsuph//79ioiI0DXXXKMRI0YoJSXF0yVVKwcPHlRqaqrL8RMYGKju3btz/PyvTZs2qX79+mrRooXGjx+v9PR0T5dU5bKysiRJwcHBkqTt27eroKDA5bhp2bKlGjdubKrj5vd9KbZs2TLVq1dPbdu21fTp03X27FlPlOcxRUVFWrFihXJychQbG8vx8r9+35diZj5e4uPjNWjQIJdjQ7r6/jfG29MFmMHJkydVVFSksLAwl/GwsDDt3bvXQ1VVD927d9fSpUvVokULHTt2TLNnz9aNN96oPXv2qE6dOp4ur1pITU2VJLfHT/GcmQ0YMEC33XaboqOjdeDAAf3P//yPBg4cqMTERHl5eXm6vCrhcDg0efJkXX/99Wrbtq2k88eNzWZT3bp1Xdaa6bhx1xdJuvPOOxUVFaWIiAjt3r1bjzzyiPbt26ePPvrIg9VWjaSkJMXGxio3N1e1a9fW6tWr1bp1a+3atcvUx0tpfZHMfbysWLFCO3bs0HfffVdi7mr73xgCMTxq4MCBzt/bt2+v7t27KyoqSh988IHGjBnjwcpQUwwbNsz5e7t27dS+fXtde+212rRpk/r27evByqpOfHy89uzZY8rr7y+mtL7cd999zt/btWunBg0aqG/fvjpw4ICuvfbaqi6zSrVo0UK7du1SVlaWPvzwQ40cOVKbN2/2dFkeV1pfWrdubdrj5fDhw3rggQe0YcMG2e12T5dT6bhkogrUq1dPXl5eJb55mZaWpvDwcA9VVT3VrVtXzZs3188//+zpUqqN4mOE46dsrrnmGtWrV880x9DEiRO1du1affXVV4qMjHSOh4eHKz8/X5mZmS7rzXLclNYXd7p37y5JpjhmbDabmjZtqi5dumjevHnq0KGDFixYYPrjpbS+uGOW42X79u06fvy4OnfuLG9vb3l7e2vz5s168cUX5e3trbCwsKvqmCEQVwGbzaYuXbpo48aNzjGHw6GNGze6XKME6cyZMzpw4IAaNGjg6VKqjejoaIWHh7scP9nZ2dq6dSvHjxu//fab0tPTr/pjyDAMTZw4UatXr9aXX36p6Ohol/kuXbrIx8fH5bjZt2+fUlJSrurj5lJ9cWfXrl2SdNUfM+44HA7l5eWZ9ngpTXFf3DHL8dK3b18lJSVp165dzp+uXbtqxIgRzt+vpmOGSyaqyJQpUzRy5Eh17dpV3bp10wsvvKCcnByNGjXK06V51NSpUzV48GBFRUXp6NGjmjVrlry8vDR8+HBPl1alzpw543K24eDBg9q1a5eCg4PVuHFjTZ48WU8++aSaNWum6OhozZgxQxEREbr11ls9V3QVuVhvgoODNXv2bA0dOlTh4eE6cOCApk2bpqZNmyouLs6DVVe++Ph4LV++XJ988onq1KnjvGYvMDBQfn5+CgwM1JgxYzRlyhQFBwcrICBA999/v2JjYxUTE+Ph6ivPpfpy4MABLV++XH/4wx8UEhKi3bt368EHH1TPnj1L3FLqajN9+nQNHDhQjRs31unTp7V8+XJt2rRJ69atM+3xIl28L2Y+XurUqeNy7b0k+fv7KyQkxDl+VR0znr7NhZm89NJLRuPGjQ2bzWZ069bN2LJli6dL8rg77rjDaNCggWGz2YyGDRsad9xxh/Hzzz97uqwq99VXXxmSSvyMHDnSMIzzt16bMWOGERYWZvj6+hp9+/Y19u3b59miq8jFenP27Fmjf//+RmhoqOHj42NERUUZ9957r5Gamurpsiudu55IMpYsWeJcc+7cOWPChAlGUFCQUatWLWPIkCHGsWPHPFd0FbhUX1JSUoyePXsawcHBhq+vr9G0aVPj4YcfNrKysjxbeBUYPXq0ERUVZdhsNiM0NNTo27evsX79eue8GY8Xw7h4X8x8vLjz+1vQXU3HjMUwDKMqAzgAAABQnXANMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQAAAEyNQAwAAABTIxADAADA1AjEAAAAMDUCMQDArSZNmuiPf/xjud+/dOlSWSwWHTp0qOKKAoBKQCAGgGqkOER+//33ni4FAEyDQAwAAABTIxADAADA1AjEAFCD5Ofna+bMmerSpYsCAwPl7++vG2+8UV999ZXLukOHDsliseiZZ57RwoULdc0116hWrVrq37+/Dh8+LMMwNHfuXEVGRsrPz0+33HKLTp065fYz169fr44dO8put6t169b66KOPSqxJTk5Wnz595Ofnp8jISD355JNyOBwl1n3yyScaNGiQIiIi5Ovrq2uvvVZz585VUVFRxTQIAMrBYhiG4ekiAADnLV26VKNGjdJ3332nrl27lpg/efKk2rdvr+HDh6tZs2Y6ffq03nzzTf3yyy/atm2bOnbsKOl8II6OjlbHjh2Vn5+ve+65R6dOndL8+fPVuXNn9enTR5s2bdKwYcP0888/66WXXtLf/vY3vfXWW87PatKkiXx9fXX8+HGNGzdO9evX15IlS5ScnKzPP/9cN998syQpNTVV7du3V2FhoR544AH5+/vrtddek5+fn3bv3q2DBw+qSZMmkqQhQ4bIZrPpuuuuU+3atfXll19q1apVmjp1qv7xj39Uen8BwC0DAFBtLFmyxJBkfPfdd27nCwsLjby8PJexjIwMIywszBg9erRz7ODBg4YkIzQ01MjMzHSOT58+3ZBkdOjQwSgoKHCODx8+3LDZbEZubq5zLCoqypBk/POf/3SOZWVlGQ0aNDA6derkHJs8ebIhydi6datz7Pjx40ZgYKAhyTh48KBz/OzZsyX2aezYsUatWrVcPhsAqhKXTABADeLl5SWbzSZJcjgcOnXqlAoLC9W1a1ft2LGjxPo///nPCgwMdL7u3r27JOmvf/2rvL29Xcbz8/N15MgRl/dHRERoyJAhztcBAQG6++67tXPnTqWmpkqSPvvsM8XExKhbt27OdaGhoRoxYkSJevz8/Jy/nz59WidPntSNN96os2fPau/evZfVCwCoKARiAKhh3n77bbVv3152u10hISEKDQ3Vp59+qqysrBJrGzdu7PK6OBw3atTI7XhGRobLeNOmTWWxWFzGmjdvLknO+wv/+uuvatasWYnPbtGiRYmx5ORkDRkyRIGBgQoICFBoaKj++te/SpLb+gGgKnhfegkAoLp477339Le//U233nqrHn74YdWvX19eXl6aN2+eDhw4UGK9l5eX2+2UNm5U4tdKMjMzddNNNykgIEBz5szRtddeK7vdrh07duiRRx5x+yU8AKgKBGIAqEE+/PBDXXPNNfroo49cztzOmjWrUj7v559/lmEYLp/13//+V5KcX5SLiorS/v37S7x33759Lq83bdqk9PR0ffTRR+rZs6dz/ODBg5VQOQCUHZdMAEANUnxm98IzuVu3blViYmKlfN7Ro0e1evVq5+vs7Gy988476tixo8LDwyVJf/jDH7RlyxZt27bNue7EiRNatmzZJWvPz8/XokWLKqV2ACgrzhADQDX01ltv6fPPPy8x3qtXL3300UcaMmSIBg0apIMHD2rx4sVq3bq1zpw5U+F1NG/eXGPGjNF3332nsLAwvfXWW0pLS9OSJUuca6ZNm6Z3331XAwYMcLntWlRUlHbv3u1c16NHDwUFBWnkyJGaNGmSLBaL3n333Uq9TAMAyoJADADV0CuvvOJ2PCUlRWfOnNGrr76qdevWqXXr1nrvvfe0atUqbdq0qcLraNasmV566SU9/PDD2rdvn6Kjo7Vy5UrFxcU51zRo0EBfffWV7r//fj399NMKCQnRuHHjFBERoTFjxjjXhYSEaO3atXrooYf0+OOPKygoSH/961/Vt29fl+0BQFXjwRwAAAAwNa4hBgAAgKkRiAEAAGBqBGIAAACYGoEYAAAApkYgBgAAgKkRiAEAAGBqBGIAAACYGoEYAAAApkYgBgAAgKkRiAEAAGBqBGIAAACYGoEYAAAApvb/AYD4atc3gIOFAAAAAElFTkSuQmCC", "text/plain": [ "
    " ] @@ -31694,34 +33742,137 @@ "output_type": "display_data" }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "[5.00] Client: Least accessed object was accessed 0 times.\n", - "[10.00] Client: Least accessed object was accessed 4 times.\n", - "[15.00] Client: Least accessed object was accessed 6 times.\n", - "[20.01] Client: Least accessed object was accessed 9 times.\n", - "[25.01] Client: Least accessed object was accessed 13 times.\n", - "[30.01] Client: Least accessed object was accessed 18 times.\n", - "[35.00] Client: Least accessed object was accessed 22 times.\n", - "[40.00] Client: Least accessed object was accessed 26 times.\n", - "[45.00] Client: Least accessed object was accessed 30 times.\n", - "[50.00] Client: Least accessed object was accessed 36 times.\n", - "[55.00] Client: Least accessed object was accessed 39 times.\n", - "[60.01] Client: Least accessed object was accessed 43 times.\n", - "[65.01] Client: Least accessed object was accessed 45 times.\n", - "[70.00] Client: Least accessed object was accessed 51 times.\n", - "[75.00] Client: Least accessed object was accessed 55 times.\n", - "[80.00] Client: Least accessed object was accessed 63 times.\n", - "[85.00] Client: Least accessed object was accessed 67 times.\n", - "[90.00] Client: Least accessed object was accessed 70 times.\n", - "[95.00] Client: Least accessed object was accessed 73 times.\n", - "[100.00] Client: Least accessed object was accessed 79 times.\n", - "[105.00] Client: Least accessed object was accessed 83 times.\n", - "[110.01] Client: Least accessed object was accessed 87 times.\n", - "[115.01] Client: Least accessed object was accessed 92 times.\n", - "[120.00] Client: Least accessed object was accessed 94 times.\n", - "[125.00] Client: Least accessed object was accessed 99 times.\n" + "\n", + "Progress: 0%| | 0/100 [00:00" ] @@ -31765,34 +33916,262 @@ "output_type": "display_data" }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "[5.00] Client: Least accessed object was accessed 0 times.\n", - "[10.01] Client: Least accessed object was accessed 3 times.\n", - "[15.00] Client: Least accessed object was accessed 5 times.\n", - "[20.00] Client: Least accessed object was accessed 13 times.\n", - "[25.00] Client: Least accessed object was accessed 14 times.\n", - "[30.00] Client: Least accessed object was accessed 16 times.\n", - "[35.00] Client: Least accessed object was accessed 21 times.\n", - "[40.00] Client: Least accessed object was accessed 26 times.\n", - "[45.00] Client: Least accessed object was accessed 31 times.\n", - "[50.00] Client: Least accessed object was accessed 37 times.\n", - "[55.00] Client: Least accessed object was accessed 39 times.\n", - "[60.00] Client: Least accessed object was accessed 44 times.\n", - "[65.00] Client: Least accessed object was accessed 49 times.\n", - "[70.00] Client: Least accessed object was accessed 52 times.\n", - "[75.00] Client: Least accessed object was accessed 55 times.\n", - "[80.00] Client: Least accessed object was accessed 59 times.\n", - "[85.00] Client: Least accessed object was accessed 63 times.\n", - "[90.00] Client: Least accessed object was accessed 65 times.\n", - "[95.00] Client: Least accessed object was accessed 69 times.\n", - "[100.00] Client: Least accessed object was accessed 73 times.\n", - "[105.00] Client: Least accessed object was accessed 79 times.\n", - "[110.00] Client: Least accessed object was accessed 87 times.\n", - "[115.00] Client: Least accessed object was accessed 91 times.\n", - "[120.00] Client: Least accessed object was accessed 95 times.\n", - "[125.00] Client: Least accessed object was accessed 99 times.\n" + "\n", + "\n", + "Progress: 0%| | 0/100 [00:00" ] @@ -31836,33 +34215,379 @@ "output_type": "display_data" }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "[5.00] Client: Least accessed object was accessed 1 times.\n", - "[10.00] Client: Least accessed object was accessed 4 times.\n", - "[15.00] Client: Least accessed object was accessed 8 times.\n", - "[20.00] Client: Least accessed object was accessed 14 times.\n", - "[25.00] Client: Least accessed object was accessed 17 times.\n", - "[30.01] Client: Least accessed object was accessed 21 times.\n", - "[35.00] Client: Least accessed object was accessed 26 times.\n", - "[40.00] Client: Least accessed object was accessed 31 times.\n", - "[45.00] Client: Least accessed object was accessed 35 times.\n", - "[50.02] Client: Least accessed object was accessed 39 times.\n", - "[55.01] Client: Least accessed object was accessed 43 times.\n", - "[60.00] Client: Least accessed object was accessed 49 times.\n", - "[65.01] Client: Least accessed object was accessed 52 times.\n", - "[70.00] Client: Least accessed object was accessed 54 times.\n", - "[75.00] Client: Least accessed object was accessed 57 times.\n", - "[80.00] Client: Least accessed object was accessed 58 times.\n", - "[85.00] Client: Least accessed object was accessed 62 times.\n", - "[90.02] Client: Least accessed object was accessed 63 times.\n", - "[95.00] Client: Least accessed object was accessed 69 times.\n", - "[100.00] Client: Least accessed object was accessed 71 times.\n", - "[105.00] Client: Least accessed object was accessed 79 times.\n", - "[110.01] Client: Least accessed object was accessed 81 times.\n", - "[115.01] Client: Least accessed object was accessed 87 times.\n", - "[120.00] Client: Least accessed object was accessed 94 times.\n" + "\n", + "\n", + "\n", + "Progress: 0%| | 0/100 [00:00" ] @@ -31906,33 +34631,510 @@ "output_type": "display_data" }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "[5.00] Client: Least accessed object was accessed 0 times.\n", - "[10.01] Client: Least accessed object was accessed 3 times.\n", - "[15.00] Client: Least accessed object was accessed 7 times.\n", - "[20.00] Client: Least accessed object was accessed 8 times.\n", - "[25.01] Client: Least accessed object was accessed 10 times.\n", - "[30.01] Client: Least accessed object was accessed 15 times.\n", - "[35.01] Client: Least accessed object was accessed 20 times.\n", - "[40.00] Client: Least accessed object was accessed 24 times.\n", - "[45.00] Client: Least accessed object was accessed 28 times.\n", - "[50.00] Client: Least accessed object was accessed 33 times.\n", - "[55.00] Client: Least accessed object was accessed 37 times.\n", - "[60.00] Client: Least accessed object was accessed 41 times.\n", - "[65.00] Client: Least accessed object was accessed 47 times.\n", - "[70.00] Client: Least accessed object was accessed 50 times.\n", - "[75.00] Client: Least accessed object was accessed 57 times.\n", - "[80.00] Client: Least accessed object was accessed 58 times.\n", - "[85.00] Client: Least accessed object was accessed 63 times.\n", - "[90.00] Client: Least accessed object was accessed 72 times.\n", - "[95.00] Client: Least accessed object was accessed 78 times.\n", - "[100.01] Client: Least accessed object was accessed 83 times.\n", - "[105.00] Client: Least accessed object was accessed 86 times.\n", - "[110.00] Client: Least accessed object was accessed 86 times.\n", - "[115.00] Client: Least accessed object was accessed 88 times.\n", - "[120.00] Client: Least accessed object was accessed 93 times.\n" + "\n", + "\n", + "\n", + "\n", + "Progress: 0%| | 0/100 [00:00" ] @@ -31979,8 +35181,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 13.1 s, sys: 12.1 s, total: 25.2 s\n", - "Wall time: 13 s\n" + "CPU times: user 19.8 s, sys: 12.7 s, total: 32.5 s\n", + "Wall time: 19.9 s\n" ] } ], @@ -32021,16 +35223,24 @@ " stats.to_csv(f\"{TEMP_BASE_DIR}/hit_age.csv\",index=False)\n", " stats.drop(\"obj_id\", axis=1).describe().to_csv(f\"{TEMP_BASE_DIR}/overall_hit_age.csv\")\n", "\n", - " avg_age = {obj_id: cache.cumulative_age[obj_id] / max(1, cache.hits[obj_id]) for obj_id in range(1, DATABASE_OBJECTS + 1)}\n", + " avg_age = {\n", + " obj_id: cache.cumulative_age[obj_id] / max(1, cache.hits[obj_id]) \n", + " for obj_id in range(1, DATABASE_OBJECTS + 1)\n", + " }\n", "\n", + " hit_rate = {\n", + " obj_id: np.round((cache.hits[obj_id] / max(1, cache.access_count[obj_id]))*100,2) \n", + " for obj_id in range(1, DATABASE_OBJECTS + 1)\n", + " }\n", + " \n", " access_count = pd.DataFrame.from_dict(cache.access_count, orient='index', columns=['access_count'])\n", " hits = pd.DataFrame.from_dict(cache.hits, orient='index', columns=['hits'])\n", " misses = pd.DataFrame.from_dict(cache.misses, orient='index', columns=['misses'])\n", " mu = pd.DataFrame.from_dict(db.mu_values, orient='index', columns=['mu'])\n", " lmbda = pd.DataFrame.from_dict(db.lambda_values, orient='index', columns=['lambda'])\n", - " hit_rate = pd.DataFrame(np.round((hits.to_numpy()/access_count.to_numpy())*100,2), columns=['hit_rate'])\n", + " hit_rate = pd.DataFrame.from_dict(hit_rate, orient='index', columns=['hit_rate'])\n", " avg_age = pd.DataFrame.from_dict(avg_age, orient='index', columns=['avg_age'])\n", - "\n", + " \n", " merged = access_count.merge(hits, left_index=True, right_index=True).merge(misses, left_index=True, right_index=True)\\\n", " .merge(mu, left_index=True, right_index=True).merge(lmbda, left_index=True, right_index=True)\\\n", " .merge(hit_rate, left_index=True, right_index=True).merge(avg_age, left_index=True, right_index=True)\n", diff --git a/temp.csv b/temp.csv deleted file mode 100644 index 94624b7..0000000 --- a/temp.csv +++ /dev/null @@ -1,100 +0,0 @@ -obj_id,lambda,access_count -1,1,12 -2,3,49 -3,1,15 -4,1,20 -5,2,36 -6,1,16 -7,5,72 -8,1,17 -9,1,14 -10,1,16 -11,2,37 -12,1,17 -13,1,18 -14,1,16 -15,2,33 -16,2,39 -17,1,21 -18,1,17 -19,3,65 -20,1,19 -21,1,20 -22,1,18 -23,1,19 -24,2,34 -25,1,20 -26,1,24 -27,1,22 -28,5,78 -29,1,23 -30,1,18 -31,1,17 -32,4,64 -33,1,15 -34,4,62 -35,1,24 -36,1,10 -37,1,17 -38,3,49 -39,8,147 -40,1,13 -41,4,68 -42,4,65 -43,2,42 -44,1,12 -45,1,16 -46,1,14 -47,10,164 -48,1,20 -49,1,18 -50,1,20 -51,5,90 -52,9,156 -53,1,14 -54,1,13 -55,1,16 -56,1,21 -57,1,16 -58,17,293 -59,2,30 -60,1,20 -61,26,428 -62,1,20 -63,1,14 -64,2,29 -65,1,16 -66,10,172 -67,1,20 -68,69,1190 -69,1,21 -70,1,18 -71,2,24 -72,1,13 -73,1,22 -74,1,17 -75,3,48 -76,2,36 -77,2,31 -78,3,58 -79,15,298 -80,1,12 -81,1,15 -82,5,85 -83,2,30 -84,1,16 -85,1,15 -86,2,24 -87,1,21 -88,2,29 -89,1,26 -90,1,15 -91,2,28 -92,2,20 -93,3,47 -94,1,20 -95,2,41 -96,1,21 -97,1,23 -98,37,632 -99,4,71