From 8c95b7a4db24592d4aa41fa26ab1ec85bb221fb3 Mon Sep 17 00:00:00 2001 From: Michael Ekstrand Date: Wed, 4 Dec 2024 12:43:36 -0500 Subject: [PATCH] Rerun eval, update timings, and enable CUDA by default (#139) This reruns evaluation (to sync with code and update pipeline), and adds timings on a new gaming rig to our timing chart. It also introduces a code change to `config.py`: if CUDA is available, it is now enabled by default, so `pixi run -e eval-cuda dvc repro` is enough to do CUDA-powered repro runs. --- README.md | 27 ++- dvc.lock | 84 +++++----- notebooks/dvc.lock | 24 +-- notebooks/mind-small.ipynb | 234 +++++++++++++------------- notebooks/mind-subset.ipynb | 280 +++++++++++++++---------------- notebooks/mind-val.ipynb | 144 ++++++++-------- outputs/mind-small/metrics.csv | 10 +- outputs/mind-subset/metrics.csv | 10 +- outputs/mind-val/metrics.csv | 12 +- src/poprox_recommender/config.py | 15 +- 10 files changed, 424 insertions(+), 416 deletions(-) diff --git a/README.md b/README.md index 24f1610c..460af404 100644 --- a/README.md +++ b/README.md @@ -243,28 +243,27 @@ $ curl -X POST -H "Content-Type: application/json" -d @tests/request_data/basic- The default setup for this package is CPU-only, which works for basic testing and for deployment, but is very inefficient for evaluation. The current set of models work on both CUDA (on Linux with NVidia cards) and MPS (macOS on Apple -Silicon). To make use of a GPU, do the following: - -1. Set the `POPROX_REC_DEVICE` environment variable to `cuda` or `mps`. - -2. Run `dvc repro` under the `eval` or `dev` environment (using either `pixi - run` or `pixi shell`). +Silicon). To make use of a GPU, do the following:, run `dvc repro` under the +`eval-cuda` or `dev-cuda` environment (using either `pixi run` or `pixi shell`). Timing information for generating recommendations with the MIND validation set: -| Machine | CPU | GPU | Rec. Time | Rec. Power | Eval Time | -| ------- | :--------------: | :--------: | :-------: | :--------: | :-------: | -| [DXC][] | EPYC 7662 (2GHz) | A40 (CUDA) | 45m¹ | 418.5 Wh | 24m | -| [MBP][] | Apple M2 Pro | - | <20hr² | | 30m² | -| [MBP][] | Apple M2 Pro | M2 (MPS) | <12hr² | | | +| Machine | CPU | GPU | Rec. Time | Rec. Power | Eval Time | +| ------------ | :----------------: | :---------: | :-------: | :--------: | :-------: | +| [Cruncher][] | EPYC 7662 (2GHz) | A40 (CUDA) | 45m¹ | 418.5 Wh | 24m | +| [Screamer][] | i9 14900K (3.2GHz) | 4090 (CUDA) | 28m16s² | | 14m | +| [Ranger][] | Apple M2 Pro | - | <20hr³ | | 30m³ | +| [Ranger][] | Apple M2 Pro | M2 (MPS) | <12hr³ | | | -[DXC]: https://codex.lenskit.org/hardware/cruncher.html -[MBP]: https://codex.lenskit.org/hardware/mbp2.html +[Cruncher]: https://codex.lenskit.org/hardware/cruncher.html +[Screamer]: https://codex.lenskit.org/hardware/screamer.html +[Ranger]: https://codex.lenskit.org/hardware/ranger.html Footnotes: 1. Using 12 worker processes -2. Estimated based on early progress, not run to completion. +2. Using 8 worker processes +3. Estimated based on early progress, not run to completion. ## Editor Setup diff --git a/dvc.lock b/dvc.lock index 6f8a9697..fb0d5c4f 100644 --- a/dvc.lock +++ b/dvc.lock @@ -9,9 +9,9 @@ stages: size: 103456245 - path: outputs/mind-val/recommendations hash: md5 - md5: edebe062ad957f0e991f4abe1eafa834.dir - size: 44827588 - nfiles: 4 + md5: 7d1cad4d5fffb9e47e6abb62d2d27f16.dir + size: 44878647 + nfiles: 8 - path: src/poprox_recommender/evaluation/evaluate.py hash: md5 md5: 63f8d61ecc6708c41f542eba397c0d59 @@ -19,12 +19,12 @@ stages: outs: - path: outputs/mind-val/metrics.csv hash: md5 - md5: 316cf979567f09d888c9131dab7a51d8 - size: 673 + md5: 4885ed026f007b16fb6a39c48f9a9e68 + size: 670 - path: outputs/mind-val/profile-metrics.csv.gz hash: md5 - md5: 1ee7d49c679c1508a3122a383f21fe83 - size: 34022756 + md5: 40e34937389500c9ce74cb3d93d215df + size: 34000151 recommend-mind-val: cmd: python -m poprox_recommender.evaluation.generate -M MINDlarge_dev -o outputs/mind-val deps: @@ -34,19 +34,19 @@ stages: size: 103456245 - path: src/poprox_recommender/evaluation/generate/ hash: md5 - md5: a4149a7d507e1aef68a499b39fb6dff2.dir - size: 31855 + md5: 5a40f035067811292117bdb23065a02a.dir + size: 31867 nfiles: 8 outs: - path: outputs/mind-val/embeddings.parquet hash: md5 - md5: b11eef8a09ca9d7b5f734da1739228a3 - size: 20625907 + md5: 1de40da0c2aed9255997c20239c55f3f + size: 20621749 - path: outputs/mind-val/recommendations hash: md5 - md5: edebe062ad957f0e991f4abe1eafa834.dir - size: 44827588 - nfiles: 4 + md5: 7d1cad4d5fffb9e47e6abb62d2d27f16.dir + size: 44878647 + nfiles: 8 recommend-mind-small: cmd: python -m poprox_recommender.evaluation.generate -M MINDsmall_dev -o outputs/mind-small deps: @@ -56,19 +56,19 @@ stages: size: 30948560 - path: src/poprox_recommender/evaluation/generate/ hash: md5 - md5: a4149a7d507e1aef68a499b39fb6dff2.dir - size: 31855 + md5: 5a40f035067811292117bdb23065a02a.dir + size: 31867 nfiles: 8 outs: - path: outputs/mind-small/embeddings.parquet hash: md5 - md5: 5eeb31cc486e7325283880285d35813a - size: 15967246 + md5: 153c2f32568ac61f1c07b6cdb0f951ba + size: 15967347 - path: outputs/mind-small/recommendations hash: md5 - md5: af4d9f11e686b8ef139b915d9021b1f3.dir - size: 8910177 - nfiles: 4 + md5: e3268d2d750b0b5f3e6c5afa5ba13453.dir + size: 9111609 + nfiles: 8 measure-mind-small: cmd: python -m poprox_recommender.evaluation.evaluate -M MINDsmall_dev mind-small deps: @@ -78,9 +78,9 @@ stages: size: 103456245 - path: outputs/mind-small/recommendations hash: md5 - md5: af4d9f11e686b8ef139b915d9021b1f3.dir - size: 8910177 - nfiles: 4 + md5: e3268d2d750b0b5f3e6c5afa5ba13453.dir + size: 9111609 + nfiles: 8 - path: src/poprox_recommender/evaluation/evaluate.py hash: md5 md5: 63f8d61ecc6708c41f542eba397c0d59 @@ -88,12 +88,12 @@ stages: outs: - path: outputs/mind-small/metrics.csv hash: md5 - md5: 164b955b213dfd440bb7fec08259acc1 - size: 674 + md5: 4823af1d567142b8f1d628f2f0961589 + size: 671 - path: outputs/mind-small/profile-metrics.csv.gz hash: md5 - md5: 885321013d5c4d6d59093edb503104d5 - size: 6610049 + md5: e1ddec19dc5ff6cf886186524fbf1a4c + size: 6606761 recommend-mind-subset: cmd: python -m poprox_recommender.evaluation.generate -M MINDsmall_dev --subset=1000 -o outputs/mind-subset @@ -104,19 +104,19 @@ stages: size: 30948560 - path: src/poprox_recommender/evaluation/generate/ hash: md5 - md5: a4149a7d507e1aef68a499b39fb6dff2.dir - size: 31855 + md5: 5a40f035067811292117bdb23065a02a.dir + size: 31867 nfiles: 8 outs: - path: outputs/mind-subset/embeddings.parquet hash: md5 - md5: 03f0c7d5c0ec84fa93a807eb1f31dc43 - size: 5113186 + md5: bf5b727866ba25845198b5745d043d4f + size: 5128758 - path: outputs/mind-subset/recommendations hash: md5 - md5: 268d9cbefa48fa3392d73a2c8015d7ac.dir - size: 151657 - nfiles: 4 + md5: c57e508e552b25f9ebc71e4a695b11ac.dir + size: 230729 + nfiles: 8 measure-mind-subset: cmd: python -m poprox_recommender.evaluation.evaluate -M MINDsmall_dev mind-subset deps: @@ -126,9 +126,9 @@ stages: size: 103456245 - path: outputs/mind-subset/recommendations hash: md5 - md5: 268d9cbefa48fa3392d73a2c8015d7ac.dir - size: 151657 - nfiles: 4 + md5: c57e508e552b25f9ebc71e4a695b11ac.dir + size: 230729 + nfiles: 8 - path: src/poprox_recommender/evaluation/evaluate.py hash: md5 md5: 63f8d61ecc6708c41f542eba397c0d59 @@ -136,9 +136,9 @@ stages: outs: - path: outputs/mind-subset/metrics.csv hash: md5 - md5: 749f2d836ca23b560d8f35551bb53d7a - size: 671 + md5: cf0b1f2b4d185d4d479a2b5995ee40f6 + size: 673 - path: outputs/mind-subset/profile-metrics.csv.gz hash: md5 - md5: fb0373335e5e7c7fb3c998c0ed930f49 - size: 90985 + md5: 4a658459093af34e63ec8905f64b8146 + size: 90608 diff --git a/notebooks/dvc.lock b/notebooks/dvc.lock index 4355ddef..c9db4eb9 100644 --- a/notebooks/dvc.lock +++ b/notebooks/dvc.lock @@ -5,8 +5,8 @@ stages: deps: - path: ../outputs/mind-val/profile-metrics.csv.gz hash: md5 - md5: 1ee7d49c679c1508a3122a383f21fe83 - size: 34022756 + md5: 40e34937389500c9ce74cb3d93d215df + size: 34000151 - path: mind-val.md hash: md5 md5: 386c3b5588f70d8a845b0faaa52c4859 @@ -14,15 +14,15 @@ stages: outs: - path: mind-val.ipynb hash: md5 - md5: 4f455a947e02d17f65891628a6528c75 - size: 180580 + md5: 82246ae5007d7196ed65601dd3999742 + size: 180360 results-mind-small: cmd: jupytext --to notebook --execute mind-small.md deps: - path: ../outputs/mind-small/profile-metrics.csv.gz hash: md5 - md5: 885321013d5c4d6d59093edb503104d5 - size: 6610049 + md5: e1ddec19dc5ff6cf886186524fbf1a4c + size: 6606761 - path: mind-small.md hash: md5 md5: 170f50dd7278beff3c040fed5ded0074 @@ -30,15 +30,15 @@ stages: outs: - path: mind-small.ipynb hash: md5 - md5: 005446bda1bdd11ecf7774229b0eb970 - size: 182164 + md5: c99231a9284b9690992f4deaee20be7b + size: 182179 results-mind-subset: cmd: jupytext --to notebook --execute mind-subset.md deps: - path: ../outputs/mind-subset/profile-metrics.csv.gz hash: md5 - md5: fb0373335e5e7c7fb3c998c0ed930f49 - size: 90985 + md5: 4a658459093af34e63ec8905f64b8146 + size: 90608 - path: mind-subset.md hash: md5 md5: fd56e0a68ae9edd86be8a2a0fda2b78d @@ -46,5 +46,5 @@ stages: outs: - path: mind-subset.ipynb hash: md5 - md5: 092a19124e7bf3f3f0e336d75d112284 - size: 178521 + md5: 7e6630067ae4444c84c5f27a005a9182 + size: 177386 diff --git a/notebooks/mind-small.ipynb b/notebooks/mind-small.ipynb index f01aab99..e511667f 100644 --- a/notebooks/mind-small.ipynb +++ b/notebooks/mind-small.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "49f83816", + "id": "c8b74d5b", "metadata": {}, "source": [ "# Offline Evaluation Metrics Visualizations\n", @@ -13,7 +13,7 @@ }, { "cell_type": "markdown", - "id": "15bbe743", + "id": "f75cbc8b", "metadata": {}, "source": [ "## 1. Setup" @@ -21,7 +21,7 @@ }, { "cell_type": "markdown", - "id": "e526fae6", + "id": "80d19baa", "metadata": {}, "source": [ "### 1. 1 Importing Libraries" @@ -29,7 +29,7 @@ }, { "cell_type": "markdown", - "id": "baf00142", + "id": "f8d7af23", "metadata": {}, "source": [ "PyData packages:" @@ -38,13 +38,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "950e5ec0", + "id": "0e208f71", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:14:52.312331Z", - "iopub.status.busy": "2024-11-27T02:14:52.312160Z", - "iopub.status.idle": "2024-11-27T02:14:54.935247Z", - "shell.execute_reply": "2024-11-27T02:14:54.934360Z" + "iopub.execute_input": "2024-12-03T03:33:22.168371Z", + "iopub.status.busy": "2024-12-03T03:33:22.168288Z", + "iopub.status.idle": "2024-12-03T03:33:22.652292Z", + "shell.execute_reply": "2024-12-03T03:33:22.652090Z" } }, "outputs": [], @@ -57,7 +57,7 @@ }, { "cell_type": "markdown", - "id": "ac163d87", + "id": "c41f6c0a", "metadata": {}, "source": [ "Local code:" @@ -66,13 +66,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "10e94ada", + "id": "07b4eeea", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:14:54.938054Z", - "iopub.status.busy": "2024-11-27T02:14:54.937798Z", - "iopub.status.idle": "2024-11-27T02:14:54.942538Z", - "shell.execute_reply": "2024-11-27T02:14:54.941920Z" + "iopub.execute_input": "2024-12-03T03:33:22.653288Z", + "iopub.status.busy": "2024-12-03T03:33:22.653198Z", + "iopub.status.idle": "2024-12-03T03:33:22.655665Z", + "shell.execute_reply": "2024-12-03T03:33:22.655509Z" } }, "outputs": [], @@ -84,7 +84,7 @@ }, { "cell_type": "markdown", - "id": "911836ff", + "id": "eb8d99ed", "metadata": {}, "source": [ "### 1. 2 Loading Data" @@ -93,13 +93,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "d5b714c6", + "id": "63ba1f46", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:14:54.944756Z", - "iopub.status.busy": "2024-11-27T02:14:54.944595Z", - "iopub.status.idle": "2024-11-27T02:14:55.472026Z", - "shell.execute_reply": "2024-11-27T02:14:55.471306Z" + "iopub.execute_input": "2024-12-03T03:33:22.656434Z", + "iopub.status.busy": "2024-12-03T03:33:22.656370Z", + "iopub.status.idle": "2024-12-03T03:33:22.900597Z", + "shell.execute_reply": "2024-12-03T03:33:22.900299Z" } }, "outputs": [ @@ -139,62 +139,62 @@ " \n", " 0\n", " 0\n", - " 0001b413-8cad-5037-bab0-aa7e68a9b98a\n", + " 00001040-f87f-52ba-8fe6-1efe165ec8a5\n", " nrms\n", " True\n", - " 0.215338\n", - " 0.373071\n", - " 0.2\n", + " 0.465338\n", + " 0.465338\n", + " 0.250000\n", " 0.409510\n", - " 0.651322\n", + " 0.624154\n", " \n", " \n", " 1\n", " 1\n", - " 0001b413-8cad-5037-bab0-aa7e68a9b98a\n", + " 00001040-f87f-52ba-8fe6-1efe165ec8a5\n", " mmr\n", " True\n", - " 0.000000\n", - " 0.150515\n", - " 0.1\n", - " 0.203347\n", - " 0.292404\n", + " 0.530803\n", + " 0.530803\n", + " 0.333333\n", + " 0.247816\n", + " 0.452619\n", " \n", " \n", " 2\n", " 2\n", - " 0001b413-8cad-5037-bab0-aa7e68a9b98a\n", + " 00001040-f87f-52ba-8fe6-1efe165ec8a5\n", " pfar\n", " True\n", - " 0.215338\n", - " 0.373071\n", - " 0.2\n", + " 0.465338\n", + " 0.465338\n", + " 0.250000\n", " 0.409510\n", - " 0.651322\n", + " 0.624154\n", " \n", " \n", " 3\n", " 3\n", - " 0001b413-8cad-5037-bab0-aa7e68a9b98a\n", + " 00001040-f87f-52ba-8fe6-1efe165ec8a5\n", " topic-cali\n", " True\n", - " 0.215338\n", - " 0.373071\n", - " 0.2\n", + " 0.465338\n", + " 0.465338\n", + " 0.250000\n", " 0.409510\n", - " 0.651322\n", + " 0.624154\n", " \n", " \n", " 4\n", " 4\n", - " 0001b413-8cad-5037-bab0-aa7e68a9b98a\n", + " 00001040-f87f-52ba-8fe6-1efe165ec8a5\n", " locality-cali\n", " True\n", - " 0.215338\n", - " 0.373071\n", - " 0.2\n", + " 0.465338\n", + " 0.465338\n", + " 0.250000\n", " 0.409510\n", - " 0.651322\n", + " 0.624154\n", " \n", " \n", "\n", @@ -202,18 +202,18 @@ ], "text/plain": [ " Unnamed: 0 profile_id recommender \\\n", - "0 0 0001b413-8cad-5037-bab0-aa7e68a9b98a nrms \n", - "1 1 0001b413-8cad-5037-bab0-aa7e68a9b98a mmr \n", - "2 2 0001b413-8cad-5037-bab0-aa7e68a9b98a pfar \n", - "3 3 0001b413-8cad-5037-bab0-aa7e68a9b98a topic-cali \n", - "4 4 0001b413-8cad-5037-bab0-aa7e68a9b98a locality-cali \n", + "0 0 00001040-f87f-52ba-8fe6-1efe165ec8a5 nrms \n", + "1 1 00001040-f87f-52ba-8fe6-1efe165ec8a5 mmr \n", + "2 2 00001040-f87f-52ba-8fe6-1efe165ec8a5 pfar \n", + "3 3 00001040-f87f-52ba-8fe6-1efe165ec8a5 topic-cali \n", + "4 4 00001040-f87f-52ba-8fe6-1efe165ec8a5 locality-cali \n", "\n", - " personalized NDCG@5 NDCG@10 RR RBO@5 RBO@10 \n", - "0 True 0.215338 0.373071 0.2 0.409510 0.651322 \n", - "1 True 0.000000 0.150515 0.1 0.203347 0.292404 \n", - "2 True 0.215338 0.373071 0.2 0.409510 0.651322 \n", - "3 True 0.215338 0.373071 0.2 0.409510 0.651322 \n", - "4 True 0.215338 0.373071 0.2 0.409510 0.651322 " + " personalized NDCG@5 NDCG@10 RR RBO@5 RBO@10 \n", + "0 True 0.465338 0.465338 0.250000 0.409510 0.624154 \n", + "1 True 0.530803 0.530803 0.333333 0.247816 0.452619 \n", + "2 True 0.465338 0.465338 0.250000 0.409510 0.624154 \n", + "3 True 0.465338 0.465338 0.250000 0.409510 0.624154 \n", + "4 True 0.465338 0.465338 0.250000 0.409510 0.624154 " ] }, "execution_count": 3, @@ -229,13 +229,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "58a8074c", + "id": "355684cc", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:14:55.473747Z", - "iopub.status.busy": "2024-11-27T02:14:55.473565Z", - "iopub.status.idle": "2024-11-27T02:14:55.476592Z", - "shell.execute_reply": "2024-11-27T02:14:55.475974Z" + "iopub.execute_input": "2024-12-03T03:33:22.901431Z", + "iopub.status.busy": "2024-12-03T03:33:22.901367Z", + "iopub.status.idle": "2024-12-03T03:33:22.902768Z", + "shell.execute_reply": "2024-12-03T03:33:22.902627Z" } }, "outputs": [], @@ -246,7 +246,7 @@ }, { "cell_type": "markdown", - "id": "a778cfb6", + "id": "230ffc07", "metadata": {}, "source": [ "## 2. Results" @@ -254,7 +254,7 @@ }, { "cell_type": "markdown", - "id": "82d97321", + "id": "40be0b33", "metadata": {}, "source": [ "### 2. 1 Effectiveness Metrics\n", @@ -264,19 +264,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "70ebe4cd", + "id": "e2591bf8", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:14:55.478322Z", - "iopub.status.busy": "2024-11-27T02:14:55.478158Z", - "iopub.status.idle": "2024-11-27T02:15:06.421981Z", - "shell.execute_reply": "2024-11-27T02:15:06.421184Z" + "iopub.execute_input": "2024-12-03T03:33:22.903508Z", + "iopub.status.busy": "2024-12-03T03:33:22.903417Z", + "iopub.status.idle": "2024-12-03T03:33:27.695026Z", + "shell.execute_reply": "2024-12-03T03:33:27.694819Z" } }, "outputs": [ { "data": { - "image/png": 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kynsW6fbt2zh27BgSExMxfvx4AEBhYSFEBGZmZti9ezd69+5dKbUTEelScHAwRo4cCTc3N7i7u2PNmjVITU1FYGAggAdXDl2+fBmbN28GAKxcuRLNmzeHk5MTgAfPZV+8eDEmTJig7HPSpEno1asXFi1ahIEDByImJgZ79uzBgQMHKv8AiajaYcNORGRkip9FGjx4sDI/Li4OAwcO1FjfysoKJ0+eVJsXHh6On376Cd98841yKSgRkbHz9fVFZmYm5s6di7S0NDg7OyM2Nhb29vYAgLS0NLWnaRQWFiIkJAQXLlyAmZkZWrVqhQ8//BBjxoxR1unZsye++uorzJw5E++//z5atWqF6OhodO/evdKPj4iqHzbsRERGqDxnkUxMTODs7Ky2fePGjWFpaakxn4jI2AUFBSEoKKjEZZGRkWrTEyZMUDubXpohQ4ZgyJAh2iiPiKhc2LATERmh8p5FIiIiIiLjw4adiMhIlecs0sNmz56N2bNna78oIiIiItIajhJPREREREREZIDYsBMREREREREZIDbsRERERERERAaIDTsRERERERGRAWLDTkRERERERGSA2LATERERERERGSC9N+zh4eFwcHCApaUlXF1dER8fX+q6Bw4cgIeHBxo0aICaNWvCyckJS5curcRqiYiIiIiIiCqHXp/DHh0djcmTJyM8PBweHh5YvXo1+vXrh+TkZDRv3lxj/dq1a2P8+PHo1KkTateujQMHDmDMmDGoXbs2Ro8erYcjICIiIiIiItINvZ5hX7JkCfz9/REQEIB27dohLCwMdnZ2iIiIKHF9FxcXDBs2DB06dECLFi0wYsQI9O3b95Fn5YmIiIiIiIiMkd4a9ry8PCQkJMDHx0dtvo+PDw4dOlSmfSQmJuLQoUPw8vIqdZ3c3FxkZWWpvYiIiIiIiIgMnd4a9oyMDBQUFMDGxkZtvo2NDdLT0x+5bbNmzWBhYQE3NzeMGzcOAQEBpa4bGhoKa2tr5WVnZ6eV+omIiIiIiIh0Se+DzqlUKrVpEdGY97D4+HgcO3YMq1atQlhYGKKiokpdNyQkBLdu3VJely5d0krdRERERERERLqkt0HnGjZsCFNTU42z6deuXdM46/4wBwcHAEDHjh1x9epVzJ49G8OGDStxXQsLC1hYWGinaCIiIiIiIqJKorcz7Obm5nB1dUVcXJza/Li4OPTs2bPM+xER5Obmars8IiIiIiIiIr3S62PdgoODMXLkSLi5ucHd3R1r1qxBamoqAgMDATy4nP3y5cvYvHkzAGDlypVo3rw5nJycADx4LvvixYsxYcIEvR0DERERERERkS7otWH39fVFZmYm5s6di7S0NDg7OyM2Nhb29vYAgLS0NKSmpirrFxYWIiQkBBcuXICZmRlatWqFDz/8EGPGjNHXIRARERERERHphN4HnQsKCsLFixeRm5uLhIQE9OrVS1kWGRmJffv2KdMTJkzAH3/8gZycHNy6dQvHjx/H2LFjYWKi98MgIiIiIgMQHh4OBwcHWFpawtXVFfHx8aWuu23bNnh7e6NRo0awsrKCu7s7du3apbZOZGQkVCqVxuvevXu6PhQiIv037ERERERE2hAdHY3JkydjxowZSExMhKenJ/r166d2xWZx+/fvh7e3N2JjY5GQkIDnnnsOAwYMQGJiotp6VlZWSEtLU3tZWlpWxiERUTWn10viiYiIiIi0ZcmSJfD390dAQAAAICwsDLt27UJERARCQ0M11g8LC1ObXrhwIWJiYrBjxw64uLgo81UqFZo0aaLT2omISsIz7ERElezvv//Gr7/+it9++w1///23vsshIqoS8vLykJCQAB8fH7X5Pj4+OHToUJn2UVhYiNu3b6N+/fpq87Ozs2Fvb49mzZrhpZde0jgD/7Dc3FxkZWWpvYiIKoINOxFRJVm6dCns7OzQsmVLuLu7o0ePHmjZsiXs7Ow0zvIQEVH5ZGRkoKCgADY2NmrzbWxskJ6eXqZ9fPLJJ8jJycHQoUOVeU5OToiMjMR3332HqKgoWFpawsPDA2fPni11P6GhobC2tlZednZ2FTsoIqr2eEk8EVElmDdvHhYvXozp06ejb9++sLGxgYjg2rVr2LVrF2bPno3s7GzMnDlT36USERk1lUqlNi0iGvNKEhUVhdmzZyMmJgaNGzdW5vfo0QM9evRQpj08PNClSxesWLECy5cvL3FfISEhCA4OVqazsrLYtBNRhbBhJyKqBGvWrMGmTZswaNAgtflNmzZF586d0bZtW4wfP54NOxFRBTVs2BCmpqYaZ9OvXbumcdb9YdHR0fD398eWLVvw/PPPP3JdExMTdO3a9ZFn2C0sLGBhYVH24omISsFL4omIKkFmZiYcHR1LXd62bVv8+++/lVgREVHVYm5uDldXV8TFxanNj4uLQ8+ePUvdLioqCm+++Sa+/PJLvPjii499HxFBUlISbG1tn7hmIqLH0VrDfv36ddy/f19buyMiqlK6deuGBQsWID8/X2NZfn4+Fi5ciG7duumhMiKiqiM4OBjr1q3Dhg0bkJKSgilTpiA1NRWBgYEAHlyq7ufnp6wfFRUFPz8/fPLJJ+jRowfS09ORnp6OW7duKevMmTMHu3btwvnz55GUlAR/f38kJSUp+yQi0qVyXxK/Zs0ajBo1ChYWFhARhIaG4uOPP0ZWVhYsLS0xZswYLF68GCYmPHlPRFRkxYoV8PHxQePGjeHl5QUbGxuoVCqkp6dj//79sLCw0DgrRERE5ePr64vMzEzMnTsXaWlpcHZ2RmxsLOzt7QEAaWlpas9kX716NfLz8zFu3DiMGzdOmT9q1ChERkYCAG7evInRo0cjPT0d1tbWcHFxwf79+/khKxFVinI37GPHjsWgQYPQuHFjrFmzBgsXLsTcuXPRo0cPHD9+HDNnzkTLli0xfvx4XdRLRGSUOnbsiDNnzuDzzz/HkSNHcOHCBQBAkyZNsGDBAgwfPhxWVlZ6rpKIyPgFBQUhKCioxGVFTXiRffv2PXZ/S5cuxdKlS7VQGRFR+ZW7YRcR5f/Xr1+PefPmYcqUKQCAnj17wtLSEitWrGDDTkT0kLp162Ls2LEYO3asvkshIiIiIiNQoevWix6NceHCBfTp00dtWe/evXH+/Pknr4yIqBq5f/++2mWaREREREQVeqzbzp07YW1tjZo1a+Lu3btqy+7evcv714mIyik5ORldunRBQUGBvkshIiIiIgNRoYZ91KhRyv/v3bsX3bt3V6YPHz6MVq1aPXllRERERERERNVYuRv2wsLCRy5v0qQJQkNDK1wQEVFV1KVLl0cuf/hqJSIiIiKiCp1hf5SXXnpJ27skIjJ6ycnJeP311+Hg4FDi8rS0NJw5c6Zc+wwPD8fHH3+MtLQ0dOjQAWFhYfD09Cxx3QMHDuC9997DqVOncOfOHdjb22PMmDHKoKFEREREZHieqGH/559/EBsbi3///RetWrXCyy+/DHNzc23VRkRUZTg7O6N79+6ljhCflJSEtWvXlnl/0dHRmDx5MsLDw+Hh4YHVq1ejX79+SE5ORvPmzTXWr127NsaPH49OnTqhdu3aOHDgAMaMGYPatWtj9OjRFT4uIiIiItKdCo8OFxISgq5du+LAgQO4ceMG1q1bh44dO3KUYyKiEvznP//B6dOnS11et25d9OrVq8z7W7JkCfz9/REQEIB27dohLCwMdnZ2iIiIKHF9FxcXDBs2DB06dECLFi0wYsQI9O3bF/Hx8eU+FiIiIiKqHBU6wx4QEIArV64gOTkZTz31lDI/PDwcgYGBiI2NxU8//YTevXtrrVAiImMWFhb2yOWtWrXCzz//XKZ95eXlISEhAdOmTVOb7+Pjg0OHDpVpH4mJiTh06BDmz59f6jq5ubnIzc1VprOyssq0byIiIiLSjnI37Hv37sWePXuQnJyM5cuXIy8vT1l2//597NmzB3fu3MGMGTMwceJEDBs2TKsFExFVdxkZGSgoKICNjY3afBsbG6Snpz9y22bNmuH69evIz8/H7NmzERAQUOq6oaGhmDNnjlZqJiIiIqLyK3fDvmbNGkycOBG1atVCRkYGli9fDi8vL9SpUwe7du2Cr68v8vPzMXPmTMyaNYsNOxHRQ7Q1/odKpVKbFhGNeQ+Lj49HdnY2jhw5gmnTpqF169al5nRISAiCg4OV6aysLNjZ2ZW7TiIiIiKqmHLfw37s2DFlFOK0tDR89NFHiIuLw/bt27F7926cOHECVlZW6NOnD5KSkpCdna31oomIjJU2xv9o2LAhTE1NNc6mX7t2TeOs+8McHBzQsWNHvP3225gyZQpmz55d6roWFhawsrJSexERERFR5Sl3w56VlQVLS0sADy6P79Onj7LMw8MDp06dQlpaGiwtLWFmZoabN29qrVgiImMWEBCAEydOIDk5GZs3b8aiRYuwc+dOTJo0CYGBgQCAn3766bH7MTc3h6urK+Li4tTmx8XFoWfPnmWuR0TU7lEnIiIiIsNS7kvimzVrhgsXLqBjx45wcHDA119/jY4dOwIAtm/fDgsLC9jY2ODatWsoLCxEo0aNtF40EZGx0fb4H8HBwRg5ciTc3Nzg7u6ONWvWIDU1VWn8Q0JCcPnyZWzevBkAsHLlSjRv3hxOTk4AHjyXffHixZgwYYKOjpiIiIiInlS5G/YXXngB0dHRePnll7FkyRIMHDgQW7ZsQa1atXDmzBmsXr0aJiYm2L59O3r06AELCwtd1E1EZFS0Pf6Hr68vMjMzMXfuXKSlpcHZ2RmxsbGwt7cH8OCWpeKX2RcWFiIkJAQXLlyAmZkZWrVqhQ8//BBjxozR6XETERERUcWVu2EfP348OnTogKNHj8Ld3R3nzp3DwYMHkZeXh27dusHW1hYZGRmYN28e1qxZo4uaiYiMzrFjx/DOO+8A+L/xPyZPngzgwdnuoKAgZfyPgQMHIjs7G3Xq1HnkPoOCghAUFFTissjISLXpCRMm8Gw6ERERkZEp9z3sTz/9NMLDwzFw4EDExcXBysoK/fr1w8CBA2Fra4vTp0+jT58+GDx4MPr376+LmomIjA7H/yAiIiKi8ir3GXYAGD58OOrVq4fRo0ejUaNG6NmzJywtLXHixAkcPXoU06ZNU84kERERx/8gIiIiovKrUMMOAP3798fZs2fxyy+/4Pfff0d+fj5Gjx6Nr7/+GnXr1tVmjURERo/jfxARERFReZX7kvjizMzM0KdPH0yZMgVTp07F4MGD2awTEZVg/Pjx+OGHH9TG/1i6dClmzZqFs2fP4o033lDG/5g2bZq+yyUiMgjbtm1Dp06dyrVNeHg4HBwcYGlpCVdXV8THxz9y/97e3mjUqBGsrKzg7u6OXbt2aay3detWtG/fHhYWFmjfvj22b99e7mMhIqqIcjfshYWFOHnypDK9atUqLF++XHmtXLkShYWFWi2SiMjYcfwPIqKSrV27Fq+99hqGDx+OX3/9FQDw008/wcXFBSNGjIC7u3uZ9xUdHY3JkydjxowZSExMhKenJ/r166f21Izi9u/fD29vb8TGxiIhIQHPPfccBgwYgMTERGWdw4cPw9fXFyNHjsSJEycwcuRIDB06VKmViEiXyn1J/FdffYXVq1fjl19+AQBMnToV9erVg5nZg11lZGTA0tIS/v7+2q2UiMjIcfwPIiJ1ixcvxvTp09GpUyekpKQgJiYGM2bMwJIlSzBhwgSMGzcODRs2LPP+lixZAn9/fwQEBAAAwsLCsGvXLkRERCA0NFRj/bCwMLXphQsXIiYmBjt27ICLi4uyjre3N0JCQgAAISEh+OWXXxAWFoaoqKgS68jNzUVubq4ynZWVVeZjICIqrtxn2Ddu3IjAwEC1eb/88gsuXLiACxcu4OOPP8bnn3+utQKJiKqSovE/QkNDYW9vjwYNGmD06NG4cOECm3UiqnbWr1+PVatW4dixY/jhhx9w9+5d/PTTTzh37hxmzZpVrmY9Ly8PCQkJ8PHxUZvv4+ODQ4cOlWkfhYWFuH37NurXr6/MO3z4sMY++/bt+8h9hoaGwtraWnnZ2dmV+TiIiIor9xn2lJQUtG/fvtTlXl5emD59+hMVRURUlRWN/1H80W5ERNXR33//jeeffx4A8Oyzz6JGjRpYsGAB6tWrV+59ZWRkoKCgADY2NmrzbWxskJ6eXqZ9fPLJJ8jJycHQoUOVeenp6eXeZ0hICIKDg5XprKwsNu1EVCHlbtgzMjJQp04dZfr8+fNo0KCBMl2jRg3k5ORopzoioiqisLAQf/75p/Iot1WrViEvL09ZbmpqirFjx8LE5InGAiUiMir37t2DpaWlMm1ubv7Ej7VUqVRq0yKiMa8kUVFRmD17NmJiYtC4ceMn2qeFhQWf9kFEWlHuht3GxganT59Gq1atAEAjVFNSUtCkSRPtVEdEVEVw/A8iopKtW7dOORmUn5+PyMhIjUvhJ06c+Nj9NGzYEKamphpnvq9du6Zxhvxh0dHR8Pf3x5YtW5Qz/kWaNGlSoX0SEWlDuRv2Pn36YMGCBSWOYiwiCA0N5WWeREQPKW38j5YtWwJ4cMb9888/Z8NORNVK8+bNsXbtWmW6SZMm+Oyzz9TWUalUZWrYzc3N4erqiri4OAwePFiZHxcXh4EDB5a6XVRUFP773/8iKioKL774osZyd3d3xMXFYcqUKcq83bt3o2fPno+tiYjoSZW7YZ8xYwa6dOmC7t2745133kHbtm2hUqlw6tQpLF68GKdPn8bmzZt1USsRkdHi+B9ERJouXrz42HUuX75c5v0FBwdj5MiRcHNzg7u7O9asWYPU1FTlA9OQkBBcvnxZ+Vs1KioKfn5+WLZsGXr06KGcSa9Zsyasra0BAJMmTUKvXr2waNEiDBw4EDExMdizZw8OHDhQzqMlIiq/ct8s2apVK8TFxeH27dvw9fVFly5d4OLigtdffx3Z2dnYvXs3WrdurYtaiYiMVknjf7Ro0UKZ5vgfRETq0tPTMXHixHL9Xenr64uwsDDMnTsXnTt3xv79+xEbGwt7e3sAQFpamtoz2VevXo38/HyMGzcOtra2ymvSpEnKOj179sRXX32FjRs3olOnToiMjER0dDS6d++uvYMlIipFuc+wA0C3bt2QnJyMpKQknDlzBgDQpk0b5XmVRESkjuN/EBFpunnzJsaNG4fdu3ejRo0amDZtGsaPH4/Zs2dj8eLF6NChAzZs2FCufQYFBSEoKKjEZZGRkWrT+/btK9M+hwwZgiFDhpSrDiIibahQw56VlYU6deqgc+fO6Ny5szK/sLAQ2dnZsLKy0lZ9RERVAsf/ICLSNH36dOzfvx+jRo3Czp07MWXKFOzcuRP37t3Djz/+CC8vL32XSESkV+W+JH779u1wc3PDvXv3NJbdu3cPXbt2xY4dO7RSHBFRVTFjxgz88ccf6N69O7Zs2YITJ07g999/x9dff43u3bvjzz//5D3sRFTt/PDDD9i4cSMWL16M7777DiKCtm3b4qeffmKzTkSECjTsERERePfdd1GrVi2NZbVq1cJ7772HTz/9tMz7Cw8Ph4ODAywtLeHq6or4+PhS1922bRu8vb3RqFEjWFlZwd3dHbt27SrvIRARVTqO/0FEpOnKlSvKgJwtW7aEpaUlAgIC9FwVEZHhKHfD/scff+DZZ58tdXmvXr1w8uTJMu0rOjoakydPxowZM5CYmAhPT0/069dPbTCQ4vbv3w9vb2/ExsYiISEBzz33HAYMGIDExMTyHgYRUaUrGv/j+PHjiIqKQlRUFBISEpCcnMzBi4ioWiosLESNGjWUaVNTU9SuXVuPFRERGZZy38P+77//Ij8/v9Tl9+/fx7///lumfS1ZsgT+/v7KJ6lhYWHYtWsXIiIiEBoaqrF+WFiY2vTChQsRExODHTt2lDrgXW5uLnJzc5XprKysMtVGRKRtHP+DiEidiODNN9+EhYUFgAe3VwYGBmo07du2bdNHeUREelfuM+wtWrTAsWPHSl1+7Ngx5dEZj5KXl4eEhAT4+Piozffx8cGhQ4fKVEthYSFu376N+vXrl7pOaGgorK2tlZednV2Z9k1EpE0c/4OISNOoUaPQuHFj5e+0ESNGoGnTpmp/uxU9D52IqDoq9xn2V155BTNmzIC3tzdsbGzUlqWnp2PmzJkYMWLEY/eTkZGBgoICjX3Y2NggPT29TLV88sknyMnJwdChQ0tdJyQkBMHBwcp0VlYWm3YiqnRlHf9jwIABeqiOiEg/Nm7cqO8SiIgMWrkb9mnTpiEmJgZt2rTBiBEj4OjoCJVKhZSUFHzxxRews7PDtGnTyrw/lUqlNi0iGvNKEhUVhdmzZyMmJgaNGzcudT0LCwvlMisiIn35448/EB4eXuryXr16YebMmZVYEREREREZunI37HXr1sXBgwcREhKC6Oho5X71p556CiNGjMDChQtRt27dx+6nYcOGMDU11Tibfu3aNY2z7g+Ljo6Gv78/tmzZgueff768h0BEVOm0Of4HEREREVUP5b6HHQCsra0RHh6OjIwMXL16Fenp6cjIyEB4eDjq1atXpn2Ym5vD1dUVcXFxavPj4uLQs2fPUreLiorCm2++iS+//BIvvvhiRconIqp02hr/g4iIiIiqjwo17EUyMzPx999/49KlS7hx40a5tw8ODsa6deuwYcMGpKSkYMqUKUhNTUVgYCCAB/ef+/n5KetHRUXBz88Pn3zyCXr06IH09HSkp6fj1q1bT3IYREQ6VzT+x9WrVzWWFY3/8eqrr+qhMiIiIiIyVOW+JB4A/vzzT4wdOxYHDx5Um+/l5YWIiAg4OjqWaT++vr7IzMzE3LlzkZaWBmdnZ8TGxipnmdLS0tSeyb569Wrk5+dj3LhxGDdunDJ/1KhRiIyMrMihEBFVCm2P/0FEREREVV+5G/b09HR4eXmhUaNGWLJkCZycnCAiSE5Oxtq1a+Hp6Yk//vjjkQPBFRcUFISgoKASlz3chO/bt6+85RIRGQRtjf9BRERERNVHuRv2pUuXwt7eHgcPHoSlpaUy/4UXXsDYsWPxn//8B0uXLkVoaKhWCyUiMnZF43+sXLkSGRkZEBE0atSoTE/GICIiIqLqp9z3sMfFxeG9995Ta9aL1KxZE1OnTsWuXbu0UhwRUVX0pON/EBEREVH1UO6G/fz58+jSpUupy93c3HD+/PknKoqIqCr6888/0atXL9jY2KB79+7o1q0bGjdujN69e+P06dP6Lo+IiIiIDEy5L4m/ffs2rKysSl1et25dZGdnP1FRRERVjbbH/yAiIiKiqq9Co8Tfvn27xEviASArKwsi8kRFERFVNRz/g4iIiIjKq9yXxIsI2rZti6eeeqrEV1kf6UZEVJ1w/A8iosoRHh4OBwcHWFpawtXVFfHx8aWum5aWhuHDh8PR0REmJiaYPHmyxjqRkZFQqVQar3v37unwKIiIHij3Gfaff/5ZF3UQEVVpuhj/Izw8HB9//DHS0tLQoUMHhIWFwdPTs8R1t23bhoiICCQlJSE3NxcdOnTA7Nmz0bdv33K9JxGRIYuOjsbkyZMRHh4ODw8PrF69Gv369UNycjKaN2+usX5ubi4aNWqEGTNmYOnSpaXu18rKSmOskdKuNiUi0qZyN+xeXl66qIOIqErT9vgf5f2jdP/+/fD29sbChQtRr149bNy4EQMGDMCvv/4KFxeXCh0TEZGhWbJkCfz9/REQEAAACAsLw65duxAREVHiLUctWrTAsmXLAAAbNmwodb8qlQpNmjTRTdFERI9Q7obdxMTksc8MVqlUyM/Pr3BRRERVkTbH/yjvH6VhYWFq0wsXLkRMTAx27NjBhp2IqoS8vDwkJCRg2rRpavN9fHxw6NChJ9p3dnY27O3tUVBQgM6dO2PevHmPzM7c3Fzk5uYq01lZWU/0/kRUfZW7Yd++fXupyw4dOoQVK1Zw0DkioocUjf/xqOWP+zC0iDb+KC0sLMTt27dRv379UtfhH5xEZEwyMjJQUFAAGxsbtfk2NjZIT0+v8H6dnJwQGRmJjh07IisrC8uWLYOHhwdOnDiBNm3alLhNaGgo5syZU+H3JCIqUu6GfeDAgRrzTp06hZCQEOzYsQNvvPEG5s2bp5XiiIiqCm2O/6GNP0o/+eQT5OTkYOjQoaWuwz84icgYPfzhZ3k+EC1Jjx490KNHD2Xaw8MDXbp0wYoVK7B8+fIStwkJCUFwcLAynZWVBTs7uwrXQETVV4Ue61bkypUrmDVrFjZt2oS+ffsiKSkJzs7O2qqNiKjK0MX4HxX9ozQqKgqzZ89GTEzMI5/7zj84iciYNGzYEKamphofXF67dk3jA84nYWJigq5du+Ls2bOlrmNhYQELCwutvScRVV/lfqwbANy6dQvvvfceWrdujT///BN79+7Fjh072KwTEZXCxMQEpqamj3yZmZXtM9Qn+aM0Ojoa/v7++Prrr/H8888/cl0LCwtYWVmpvYiIDJW5uTlcXV0RFxenNj8uLg49e/bU2vuICJKSkmBra6u1fRIRlabcZ9g/+ugjLFq0CE2aNEFUVFSJl8gTEZE6bY7/UfyP0sGDByvz4+LiHpnJUVFR+O9//4uoqCi8+OKLZS+eiMhIBAcHY+TIkXBzc4O7uzvWrFmD1NRUBAYGAnhw5dDly5exefNmZZukpCQADwaWu379OpKSkmBubo727dsDAObMmYMePXqgTZs2yMrKwvLly5GUlISVK1dW+vERUfVT7oZ92rRpqFmzJlq3bo1NmzZh06ZNJa63bdu2Jy6OiKiq0Pb4H+X9ozQqKgp+fn5YtmwZevTooZydr1mzJqytrbVwhERE+ufr64vMzEzMnTsXaWlpcHZ2RmxsLOzt7QEAaWlpSE1NVdum+GjvCQkJ+PLLL2Fvb4+LFy8CAG7evInRo0cjPT0d1tbWcHFxwf79+9GtW7dKOy4iqr7K3bD7+fk90cAdRETVnTbG/yjvH6WrV69Gfn4+xo0bh3HjxinzR40ahcjISK0cFxGRIQgKCkJQUFCJy0rKu8dd3bR06VIsXbpUG6UREZVbuRt2/mFHRFQxt27dwsKFC7FixQp07twZe/fuhaenZ4X3V54/Svft21fh9yEiIiIi/XiiUeKJiKhsOP4HEREREZUXG3YiokrA8T+IiIiIqLzYsBMRVQKO/0FERERE5cWGnYioEnD8DyIiIiIqLxN9F0BEREREREREmtiwExERERERERkgNuxEREREREREBogNOxEREREREZEBYsNOREREREREZIDYsBMREREREREZIDbsRERERERERAaIDTsRERERERGRAWLDTkRERERERGSA2LATERERERERGSA27EREREREREQGiA07ERERERERkQFiw05ERERERERkgNiwExERERERERkgNuxEREREVGWEh4fDwcEBlpaWcHV1RXx8fKnrpqWlYfjw4XB0dISJiQkmT55c4npbt25F+/btYWFhgfbt22P79u06qp6ISB0bdiIiIiKqEqKjozF58mTMmDEDiYmJ8PT0RL9+/ZCamlri+rm5uWjUqBFmzJiBZ555psR1Dh8+DF9fX4wcORInTpzAyJEjMXToUPz666+6PBQiIgBs2ImIiIioiliyZAn8/f0REBCAdu3aISwsDHZ2doiIiChx/RYtWmDZsmXw8/ODtbV1ieuEhYXB29sbISEhcHJyQkhICPr06YOwsLBS68jNzUVWVpbai4ioItiwExEREZHRy8vLQ0JCAnx8fNTm+/j44NChQxXe7+HDhzX22bdv30fuMzQ0FNbW1srLzs6uwu9PRNUbG3YiIiIiMnoZGRkoKCiAjY2N2nwbGxukp6dXeL/p6enl3mdISAhu3bqlvC5dulTh9yei6s1M3wUQEREREWmLSqVSmxYRjXm63qeFhQUsLCye6D2JiAADOMOui5E8iYiIiKh6adiwIUxNTTXOfF+7dk3jDHl5NGnSROv7JCIqK7027LoYyZOIiIiIqh9zc3O4uroiLi5ObX5cXBx69uxZ4f26u7tr7HP37t1PtE8iorLS6yXxxUfyBB6Mwrlr1y5EREQgNDRUY/2ikTwBYMOGDZVaKxEREREZtuDgYIwcORJubm5wd3fHmjVrkJqaisDAQAAP7i2/fPkyNm/erGyTlJQEAMjOzsb169eRlJQEc3NztG/fHgAwadIk9OrVC4sWLcLAgQMRExODPXv24MCBA5V+fERU/eitYS8ayXPatGlq8590JM+H5ebmIjc3V5nmYzWIiIiIqiZfX19kZmZi7ty5SEtLg7OzM2JjY2Fvbw/gwe2VD1/J6eLiovx/QkICvvzyS9jb2+PixYsAgJ49e+Krr77CzJkz8f7776NVq1aIjo5G9+7dK+24iKj60lvDrquRPB8WGhqKOXPmaG1/RERERGS4goKCEBQUVOKyyMhIjXki8th9DhkyBEOGDHnS0oiIyk3vg87pYiTP4vhYDSIiIiIiIjJGejvDrquRPB/Gx2oQERERERGRMdLbGXZdjeRJREREREREVBXodZR4XYzkSURERERERFQV6PUedl9fX4SFhWHu3Lno3Lkz9u/fX6aRPF1cXJRRPF1cXNC/f399lE9EpFfh4eFwcHCApaUlXF1dER8fX+q6aWlpGD58OBwdHWFiYoLJkydXXqFEREREVCF6PcMO6GYkTyKiqi46OhqTJ09GeHg4PDw8sHr1avTr1w/Jyclo3ry5xvq5ublo1KgRZsyYgaVLl+qhYiIiIiIqL72PEk9EROW3ZMkS+Pv7IyAgAO3atUNYWBjs7OwQERFR4votWrTAsmXL4OfnB2tr6zK9R25uLrKystReRERERFR52LATERmZvLw8JCQkwMfHR22+j48PDh06pLX3CQ0NhbW1tfKys7PT2r6JiIiI6PHYsBMRGZmMjAwUFBRoPALTxsZG41GZTyIkJAS3bt1SXpcuXdLavomIiIjo8fR+DzsREVWMSqVSmxYRjXlPwsLCAhYWFlrbHxERERGVD8+wExEZmYYNG8LU1FTjbPq1a9c0zroTERERkfFiw05EZGTMzc3h6uqKuLg4tflxcXHo2bOnnqoiIiIiIm3jJfFEREYoODgYI0eOhJubG9zd3bFmzRqkpqYiMDAQwIP7zy9fvozNmzcr2yQlJQEAsrOzcf36dSQlJcHc3Bzt27fXxyEQERER0WOwYSciMkK+vr7IzMzE3LlzkZaWBmdnZ8TGxsLe3h4AkJaWhtTUVLVtXFxclP9PSEjAl19+CXt7e1y8eLEySyciIiKiMmLDTkRkpIKCghAUFFTissjISI15IqLjioiIiIhIm3gPOxEREREREZEBYsNOREREREREZIDYsBMREREREREZIDbsRERERFRlhIeHw8HBAZaWlnB1dUV8fPwj1//ll1/g6uoKS0tLtGzZEqtWrVJbHhkZCZVKpfG6d++eLg+DiAgAG3YiIiIiqiKio6MxefJkzJgxA4mJifD09ES/fv00nppR5MKFC+jfvz88PT2RmJiI6dOnY+LEidi6davaelZWVkhLS1N7WVpaVsYhEVE1x1HiiYiIiKhKWLJkCfz9/REQEAAACAsLw65duxAREYHQ0FCN9VetWoXmzZsjLCwMANCuXTscO3YMixcvxquvvqqsp1Kp0KRJk0o5BiKi4niGnYiIiIiMXl5eHhISEuDj46M238fHB4cOHSpxm8OHD2us37dvXxw7dgz3799X5mVnZ8Pe3h7NmjXDSy+9hMTExEfWkpubi6ysLLUXEVFFsGEnIiIiIqOXkZGBgoIC2NjYqM23sbFBenp6idukp6eXuH5+fj4yMjIAAE5OToiMjMR3332HqKgoWFpawsPDA2fPni21ltDQUFhbWysvOzu7Jzw6Iqqu2LATERERUZWhUqnUpkVEY97j1i8+v0ePHhgxYgSeeeYZeHp64uuvv0bbtm2xYsWKUvcZEhKCW7duKa9Lly5V9HCIqJrjPexEREREZPQaNmwIU1NTjbPp165d0ziLXqRJkyYlrm9mZoYGDRqUuI2JiQm6du36yDPsFhYWsLCwKOcREBFp4hl2IiIiIjJ65ubmcHV1RVxcnNr8uLg49OzZs8Rt3N3dNdbfvXs33NzcUKNGjRK3EREkJSXB1tZWO4UTET0CG3YiIiIiqhKCg4Oxbt06bNiwASkpKZgyZQpSU1MRGBgI4MGl6n5+fsr6gYGB+PvvvxEcHIyUlBRs2LAB69evxzvvvKOsM2fOHOzatQvnz59HUlIS/P39kZSUpOyTiEiXeEk8EREREVUJvr6+yMzMxNy5c5GWlgZnZ2fExsbC3t4eAJCWlqb2THYHBwfExsZiypQpWLlyJZo2bYrly5erPdLt5s2bGD16NNLT02FtbQ0XFxfs378f3bp1q/TjI6Lqhw07EREREVUZQUFBCAoKKnFZZGSkxjwvLy8cP3681P0tXboUS5cu1VZ5RETlwkviiYiIiIiIiAwQG3YiIiIiIiIiA8SGnYiIiIiIiMgAsWEnIiIiIiIiMkBs2ImIiIiIiIgMEBt2IiIiIiIiIgPEhp2IiIiIiIjIALFhJyIiIiIiIjJAbNiJiIiIiIiIDBAbdiIiIiIiIiIDxIadiIiIiIiIyACxYSciIiIiIiIyQGzYiYiIiIiIiAwQG3YiIiIiIiIiA8SGnYiIiIiIiMgAsWEnIiIiIiIiMkBs2ImIiIiIiIgMEBt2IiIiIiIiIgOk94Y9PDwcDg4OsLS0hKurK+Lj4x+5/i+//AJXV1dYWlqiZcuWWLVqVSVVSkRkWJifRESadJGNW7duRfv27WFhYYH27dtj+/btuiqfiEiNXhv26OhoTJ48GTNmzEBiYiI8PT3Rr18/pKamlrj+hQsX0L9/f3h6eiIxMRHTp0/HxIkTsXXr1kqunIhIv5ifRESadJGNhw8fhq+vL0aOHIkTJ05g5MiRGDp0KH799dfKOiwiqsb02rAvWbIE/v7+CAgIQLt27RAWFgY7OztERESUuP6qVavQvHlzhIWFoV27dggICMB///tfLF68uJIrJyLSL+YnEZEmXWRjWFgYvL29ERISAicnJ4SEhKBPnz4ICwurpKMiourMTF9vnJeXh4SEBEybNk1tvo+PDw4dOlTiNocPH4aPj4/avL59+2L9+vW4f/8+atSoobFNbm4ucnNzlelbt24BALKystTWK8i9W6Hj0LaH6yoJay0/1qobxlxr0bSI6KOcJ8L8LJkxfz+WhLWWH2vVDWPJT11l4+HDhzFlyhSNdR7VsJclPw3l3xd4/Pcja60YY/45LwlrLb/itVY4O0VPLl++LADk4MGDavMXLFggbdu2LXGbNm3ayIIFC9TmHTx4UADIlStXStxm1qxZAoAvvvjiq8TXpUuXtBNqlYj5yRdffBnCy9DyU1fZWKNGDfniiy/U1vniiy/E3Ny81FqYn3zxxVdpr/Jmp97OsBdRqVRq0yKiMe9x65c0v0hISAiCg4OV6cLCQty4cQMNGjR45PuUV1ZWFuzs7HDp0iVYWVlpbb+6wFp1g7Xqhq5qFRHcvn0bTZs21do+Kxvzs/KxVt1grbpRXfNTF9lY3n0yPzWxVt1grbqhi1ormp16a9gbNmwIU1NTpKenq82/du0abGxsStymSZMmJa5vZmaGBg0alLiNhYUFLCws1ObVq1ev4oU/hpWVlcF/AxZhrbrBWnVDF7VaW1trdX+Vhfmpf6xVN1irblSX/NRVNpa2Tmn7BJifj8JadYO16oa2a61Idupt0Dlzc3O4uroiLi5ObX5cXBx69uxZ4jbu7u4a6+/evRtubm4l3n9JRFQVMT+JiDTpKhtLW6e0fRIRaZNeR4kPDg7GunXrsGHDBqSkpGDKlClITU1FYGAggAeXE/n5+SnrBwYG4u+//0ZwcDBSUlKwYcMGrF+/Hu+8846+DoGISC+Yn0REmnSRjZMmTcLu3buxaNEinDp1CosWLcKePXswefLkyj48IqqOynXHuw6sXLlS7O3txdzcXLp06SK//PKLsmzUqFHi5eWltv6+ffvExcVFzM3NpUWLFhIREVHJFZfs3r17MmvWLLl3756+S3ks1qobrFU3jKnWysb8rHysVTdYq24YU63apIts3LJlizg6OkqNGjXEyclJtm7dquvDKBNj+jdmrbrBWnXDkGpViRjYMzmIiIiIiIiISL+XxBMRERERERFRydiwExERERERERkgNuxEREREREREBogNOxEREREREZEBYsNOZGAKCwv1XQIRkVFifhIRVQzz03CxYScyEP/73/8AACYmxv1jmZ+fr+8SiKiaqQr5yewkIn1gfho+4/2XIapCDhw4gDNnzqgFjjF+0vnWW29h3759+i5DUfTUSj69kqjqqgr5aWjZCTA/iaoD5qduaDs/2bDrgaH/8rt27Zq+SyhV8RDJycnRYyXa5ebmhpiYGJiZmSEqKgrAg086jSk079+/D0tLS3h5eQH4v38rfX6/q1Qq7Ny5Ezt27NB7LaQdhv5vyPysfMaen4aYnQDzs6oxhn8/5mflY37qhrbzkw17JTl8+DA2b94M4ME/oqHaunUr+vXrh4sXL+q7lBIVXa4THByMsLAwZGdn67miJ+Pr64sdO3bA0tISJiYmOHPmDMaPHw8fHx8AxhOaFy9eRI0aNRAREYEaNWpg3bp1iIqKQl5eHlQqlV6DMywsDN9++y0A/Qc4VQzzUzuYn4bHkLMTYH4aO2PJToD5WdmYn7qnzfxkw14Jtm7dikGDBuHkyZNISUlR5uv7G+lhf//9N8LDwxEYGAh7e3t9l6Om+NcqISEBX331FXr37o06derosaonk5OTAxGBr68v9u7dCwBo1qwZ1q9fj0uXLqF///4ADD8033nnHUydOhXJyckAgIKCAqxbtw6LFi3Cjh079B6cLVu2xI0bNwAY9/1Z1RXz88kxPw0zPw09OwHmpzEzluwEmJ+VjflZObSan0I69fPPP0vt2rVlzZo1+i7lkY4ePSqTJk2SgQMHSmZmpuTn5+u7pBJ98sknMn/+fJkxY4a+S9GKGzduSGBgoJibm8vOnTtFROTu3bsSExMjbdq0kRdeeEFZt6CgQF9lPtLy5cvF1dVVRo8eLSdPnhQRkXv37kn//v3FxcVFtmzZIrm5uSIiUlhYWCk1paenS3p6uoiIREdHS/fu3SUnJ0fta2io3+P0f5if2sX8NCyGmJ0izM+qwFiyU4T5qS/MT93QVX6yYdeRwsJCKSwslODgYHnrrbdEROTff/+Vffv2yZgxY+T111+XP/74Q1lX36ZOnSpPPfWU2NraKt9ohvYDmpOTIy+//LKoVCoZMmSIiBjG1+5J3bhxQ8aMGaMWmnfu3FFCs1+/fsq6hnS8xWvZsGGDdOnSRd5++21JSkoSEZHc3Fzp27dvpQfn0aNHxcbGRmxsbGTQoEHSoUMHad68ufz888/y559/6vS9STuYn9rH/DSc4zXU7BRhfho7Y8tOEeanPjE/tUuX+cmGXcfef/99ad68uezZs0dee+016du3r3h7e0v37t3F0dHRoD5JnD9/vjRt2lQmTJggV69eFRH9/oCW9N6pqakyZswYqVmzpuzbt09EDC/YH6fouIof3/Xr10sMze+++06cnJzEzc1NL7U+TvGv/fr160sNTldXV/nmm2+U4NSl+/fvy549e+Sbb76RefPmyRtvvCEqlUocHR3F1tZWXFxcxMXFRcLCwgzq5480MT8rjvlp2PlpiNkpwvysKowpO0WYn5WF+albusxPNuw6UPwf4ciRIzJ48GCpVauWvPHGG/Ljjz+KiMiBAwfExcVF0tLS9FWmnD9/Xi5duiSXL19W5k2bNk26dOki77//vly/fl1E9BOaD4dg8R+2K1euiK+vr9StW1d+++03ETGcT/4ep/hx3b9/X+7evatMZ2RkyOjRozUuT4qOjhZfX1+D+sVQ2td77dq1JQZnv379pFmzZvLTTz9VZpmK7t27y5w5cyQxMVHWr18vU6ZMkeTkZL3UQo/G/HxyzE/DzU9jy04R5qexMJbsFGF+6gPzUz+0lZ9s2LUsLi5Oxo8fLyEhIWqXP5w6dUptvSlTpoiHh4dkZWVVdokiIrJ161Zp3ry5NG3aVAYMGCBRUVHKsnfffVe6dOkis2bNUj7prEzFg+HTTz8VX19f6d+/v6xYsUKZf/XqVRk6dKhYW1vL0aNHRcTwQ7P4cS1btkwGDhwoffr0kTlz5ijzb9y4IaNHjxYLCwvZtWuXiKj/sjCE0Cxew+XLl+X8+fNqwb969WqN4Lx3755MmTJF65/qF/2bnzhxQrZs2SIxMTFy4cIFZfmdO3fk3r170rVrV/noo4+0+t6kfczPJ8f8NNz8NKTsFGF+ViXGkp0izE99YH4af36yYdeiPXv2iLm5uQwdOlQaNGggHh4esm7dOrVvsqNHj8qECROkXr16yjdUZbt06ZI4OTnJ2rVrJTIyUvz8/KR9+/aydu1aZZ2QkBBxcHCQBQsW6O2H9L333pOnn35apkyZIvPnzxeVSiXvv/++8gN69epVGTZsmKhUKklJSdFLjRUxbdo0adq0qUyfPl2WL18uKpVKJk6cKLdu3RKRB/ebBQYGikqlkl9//VXP1aor/r3wwQcfSPfu3aVmzZoyYsQI2bx5s7Js9erV4urqKmPGjFF+oRXRVnAWheXWrVulUaNG0r17d7G1tZWBAwfKtm3b1NadOHGiDB8+XG07MizMT+1ifhpWfhpSdoowP6sSY8lOEeanvjE/tUMf+cmGXYsWLlwoixcvFpEHn1QNHTpUPDw8ZPXq1VJQUCBnz56V4OBg8fDwkBMnTuitzn/++Uf8/Pzk/v37IiKSnJws48aNE0dHR7XQnDVrlpw/f75SanJ2dpbw8HBl+quvvpKWLVvKkSNHRERk165dYmJiIiYmJhIYGKiEZlpamrz//vvKsRi6rVu3SuvWreXQoUMi8uC4zM3NxczMTF5//XXlU+/MzExZtGiRwR7XrFmzpFGjRrJt2zY5cuSIeHl5SceOHdU+hV67dq00a9ZMPvzwQxHRzR96P/30kzRq1EgiIiJEROT777+XOnXqSLdu3eSLL75Q1ps4caJ07txZ758QU+mYnxXH/DSe/DSU7BRhflYVxpKdIsxPfWJ+aldl5ycbdi1ISUmRP/74Q6ZPny7ffPONMv/69evi6+srHh4esmHDBhF5MGhF0b05le3HH38UPz8/GTNmjPTp00dtWUpKiowbN06cnZ1l+fLllVrXhAkT5JlnnlH7Zt60aZPyA/jDDz+ItbW1rFu3TrZs2SIqlUpmzJghd+7cUduPIYZL8QE+8vPz5csvv1S+vrGxsVKvXj1Zu3at7N69W0xNTWXChAly8+ZNtX0Y2nHt379fOnbsKPv37xcRkV9++UUsLS3lP//5j3Tq1ElWrVqlrBsTE6OzwW1yc3Plf//7n0yePFlERC5evCgtW7aUQYMGyQsvvCAdO3aULVu2iMiDywJPnz6tkzroyTA/nwzz03jy01CyU4T5WRUYS3aKMD/1gflZtfKTDfsT+vrrr6VBgwZSv359UalU4u/vr7Y8MzNTRowYIU5OTrJp0yY9VSmye/dusbCwkJdeekm6du0qKpVK7RNFkQffVKNGjZKuXbvKv//+W2mXvr322mvyxhtviMiDT4p37dol//77r5w/f16uXr0qrq6u8vHHH4uIyOnTp6VBgwaiUqlk0aJFlVJfRRX/BVAUgjdv3pQLFy5IZmamdOvWTfkE8MKFC/L0008rl10Zkoe/D9LS0mTJkiWSm5sru3fvloYNG8qGDRskPT1dWrduLY6OjrJgwQK1bXQVnKdOnZLjx49LVlaWuLm5yX//+18REdm7d6/UqVNH2rZtK9HR0Tp5b3pyzM8nx/w03Pw05OwUYX4aM2PJThHmpz4wPx+oSvnJhv0JXL9+XZ577jlZs2aN/Prrr/L2229Lp06dZN68eWrrZWRkiL+/v9pgBJXpn3/+kS+//FL5xPD8+fMSEhIidevWVftESkTkzJkzlTZ6aNHzQsPDw+WZZ54RLy8vqVevnpw7d05Z5+TJk9KuXTvlnqvU1FQZN26c7N+/36A++XtY8bAMDQ2VgQMHqv37nzp1ShwdHZVRRtPS0iQwMFB+++03g3rcSvHjSE5OlmvXromIyO3btyU/P19effVVmTlzplLz4MGDxdnZWSZOnKj1X7gl7a9oQJSdO3dKly5d5OLFiyLyYCRcT09PCQoKkr///lurdZB2MD+fDPPTsPPTkLJThPlZlRhLdoowP/WB+Vk185MNewX99ttv8sorr8jrr7+ufHqVmZkpU6ZMkW7dusncuXPV1tfXvV/nz58XlUoljRs3Vrs/6PLlyzJjxgypW7eu2nx9yMvLE1dXVzE1NZVJkyapLTt16pSoVCpZuHChHDlyRPr16yc+Pj7KD48hh6bIg4FLmjRpImvXrpUzZ84o8y9duiSWlpbyzjvvyL59++SFF16Q5557zqCOq3hAzZgxQ5599ln55ptvlPu37t+/L66urjJt2jQReRBew4YNk6+++qrEZ31qo5a9e/fKggULZO7cuZKdna0s37Fjhzz99NOye/dupd6xY8fKv//+q5X3J+1ifmoP89Pw8tOQsrP4vpifxs9YslOE+alvzE/t1qPv/GTDXgGnT5+W+fPnS6tWraR169Zqy65fv648NuO9997TU4X/Jy8vTz788EOpU6eOvPvuu2rLrly5Ih988IGoVCrZuHFjpdZV9EskPz9fTpw4IY6OjuLn5ycuLi4SGhqqtm54eLiYmppKmzZtpGvXrpKXlycihj9abXx8vNjb22s8/7HoE8EvvvhCatWqJY6OjtKjRw+DPa6iQT5iY2MlMzNTRB7UmJ2dLW+99Zb07t1bJk+eLH369BEXFxfl31bbfyjExsZKzZo1xdPTU55++mlp2bKlMoDOH3/8IX369BFHR0dxc3MTKysrvY6ES6Vjfj455qdx5KehZKcI87MqMKbsFGF+6hPzU7sMIT/ZsJfT1q1bpXfv3hIXFyeffPKJ1K9fX8aOHau2TkZGhrz99tvy/PPP622Qj+TkZImPj5fU1FQREVmyZImYmJjIsmXL1Na7dOmSzJ8/X+NZnbpU/Ifp/PnzcvPmTfnnn3+ksLBQgoODpVOnTsq9NcXX+/3335Vt9f0JYFl8+eWX4ujoKLdv31bmPRyG//zzj6SkpBjkcRUWFsr58+elY8eOGo+pKKo3MTFR3nzzTenVq5e8+uqrSujrIjCnT58uERERUlBQIOnp6dK3b195+umn5dixYyIicvjwYVm2bJnMnDmzUr+fqeyYn0+O+fl/DDU/DS07RZifxs5YslOE+WkImJ/aZQj5yYa9HK5duybPPfecci/OzZs35eOPPxZnZ2eNS2kyMzMlPT1dD1WKbN++XWrXri0tW7YUCwsLWbt2rVy9elWWLFkiKpVKIzQr856V4oHx3nvvSatWraRRo0bi6ekpn332meTn58v//ve/EkOziLE8Wmb79u1iZ2cnf/75pzKvoKBACgoKJDIyUmPUSEM8rjNnzkjjxo3l8OHDIqL+73f37l25d++eiDz4HtL25VRF+7tw4YKcOnVKxo8fL3v27FGW5+TkyAsvvCC2traSkJCglfck3WF+Pjnmp/Hkpz6zs/j7MT+Nn7Fkpwjz01AwP5+MIeYnG/Yy2rlzp7z11lsyaNAgtUEEMjMz5aOPPpIOHTpIcHCwHit88A1248YN5fmbZ8+elfnz54tKpZIPP/xQGWHRwsKi1DDSpeKBEBUVJba2tvLtt99KZGSkTJ06VUxNTWXlypVKaHbp0kVmzpxZ6XVqy/Hjx8XW1lbeffddtYFU8vLy5Nlnn5UPPvhAj9WVzYULF6RWrVoSGRkpIg/+DYuC7MCBA7Ju3Trl2Z0i2r+c6ptvvpFGjRpJ+/btRaVSydKlS5VPUkUehOZLL70klpaWvITTgDE/nxzz8wFjyU99Z6cI87MqMIbsFGF+Ghrm55MztPxkw15G33//vahUKjExMZFDhw6pLcvMzJRPPvlEmjZtqgyCoA93796VO3fuyPTp0+XGjRvK/LCwMLXQXLBggdSvX19tncr0888/S0BAgCxZskSZl5WVJcuXL5eaNWvKrl27lNFN33zzTYO6p6YsHv7FUKtWLQkMDJTPP/9cdu7cKX369JHOnTsbzOVHJSksLFSOY/LkydKsWTOJjY1Vlufl5Ym3t7e8/fbbOnlvkQf367m4uMjHH38su3fvlgEDBkiDBg3kxx9/VAvN7OxsGTJkiNqgKmRYmJ/aw/w07PzUZ3YWvb8I87OqMIbsFGF+Ggrm55O/v4hh5icb9sfIyMhQPsX59ddfxdTUVIYNGyaXL1/WWG/58uXy119/6aNM+fbbb6Vv377Srl07cXJyUgZDKBIWFibm5uYya9YsSU9PVwZwqGxpaWnSqlUrqVu3rsyfP19t2Y0bN2TgwIEyfvx4EXkwKIkuRnzUlodrKrrcSOTBv0dRoHz++efy/PPPi5WVlXTp0kX69eun/MAbwiM0SjqOonk3b96U5ORkefPNN8XKykr+97//ydSpU+W5554TZ2dnteDSpiNHjkhoaKiMGTNGbf6AAQOUQUh09d6kPcxP7WJ+GlZ+GmJ2ijA/qwJjyU4R5qc+MD+rX36yYX+E7du3i4eHh7Ru3Vpmzpwp169flyNHjoipqamMHj1a43mR+roH5OjRo2JlZSVjx46VN998U2rUqCGTJk1SnglYJDQ0VJ566inJyMjQS51FTpw4Ia1atZIuXbrI8ePH1Zb5+/tL37591eYZ2r01Iuo1XbhwQe0RD998843UqlVL1q1bp8zLysqSf/75Ry5fvmwwj854WNF9b0X1RUVFiYODg9y4cUNSU1Pl008/la5du8qLL74ogYGBSv1PchzFA7t4AI4aNUpUKpV07txZeXRNkQEDBkjTpk3l22+/NbivIf0f5qduMD8NLz/1kZ3F30+E+VmVGEt2ijA/9YH5WT3zkw17KRISEsTa2lrmzp0rkyZNks6dO8vAgQPl77//lsOHD4upqamMHTtW49POynbu3Dn54IMP1B5FER4eLs2aNZNp06ZphKa+LkN62IkTJ+SZZ56RUaNGSWJioog8CBUPDw8JCAjQb3GPUTwsP/jgAxk0aJB8//33cvfuXTl37pyoVCoJDw8XkdI/mTW0XwLr16+XcePGKdPbtm2TWrVqSVhYmNp6ubm5atPaCKxLly4p/79r1y7l8qdx48ZJ48aNJTw8XO1eJRERLy8vadOmjdovKjIczE/dYn4aTn7qMztFmJ9VjbFkpwjzUx+Ynw9Ux/xkw16Cc+fOybx589Qumfn+++/l2WeflQEDBsjff/8tR44cEZVKJZMnT9bbZSW3bt0SNzc3adiwoUyfPl1t2aeffipPP/20zJgxQ86fP6/MN6RLe44fPy7t27cXGxsbeemll+SVV14RFxcX5QfTkGotyYwZM6Rhw4by7bffqj1C5Y8//tBjVRWzePFiqV27tly5ckXy8vLk9ddfl9WrV2usVzzon/TfZ/v27XLr1i1p3769jB49Wnbs2CEqlUrtMR4jR44UJycn2bBhg0Y4Fj0yhgwL87NyMD8Ngz6yU4T5WRUZS3aKMD/1jfn5ZIwxP9mwP6QohBo3bqwxiMeOHTvEy8tLBg0aJBcuXJCjR49KcnKynip94Pjx49KmTRvx8PCQkydPqi2LiIgQS0tLmTNnjkFd/lLcyZMnxcHBQTw9PSUiIkKZb+j31/3+++/i6Ogou3fvVuYZ0qeWj1I87Ip+4RcN5DFjxgwREZ1/ev/ee++Jra2t/Pnnn/L1119LgwYNpEaNGvL111+LiMidO3eUdUeMGCFOTk4SGRmp9kxRMjzMz8rF/KxchpCdIszPqsjYslOE+akvzM8nY6z5yYa9BMePH5e2bduKh4eHxqdVP/zwgzzzzDPy+uuvG0wInThxQjp37iyjR4/WqHfdunUGP/prYmKidO/eXd5++205e/asvsvREBQUJAcPHlSbd/ToUeUH/mG5ubkal9AYuoKCApk6dap07dpVmaerT5hPnjwpTZo0UX7ZbN++XVQqldStW1ft0qi7d+8q/z9q1Chp2LChfP755wb/yXd1x/ysXMxP/arM7BRhflZlxpadIsxPXWN+apcx5ycb9lI8KoR27dqlcW+Ovh0/fly6dOkiAQEBJf4QG7rjx49Lt27d5PXXX5eUlBR9l6PIzMyUN954Q+MT1/j4eDEzM5PDhw+LiPr9NL/88ot88803BvcpbfHL5zZv3ixubm5y8OBB5RPNmzdviq2trSxcuFCndZw7d066dOkiGzZskE2bNkmnTp3km2++kejoaLGxsVF7XEfx0Jw4caJB/kIlTczPysX81C1DyU4R5mdVZ2zZKcL81BXmp/YZc36yYX8EYwshQw2dsvrtt9/Ey8tLrly5ou9SRETzEqNNmzZJTEyM8gnboEGDpH379mpf63v37om3t7dMnTq1Umt9nOKBvnfvXlm9erW88sor0qpVK+ndu7esXr1abty4IbNnz5ZRo0bJjRs3dPZJ4r179yQoKEjat28vKpVKVq1aJSIi//77r2zcuFFsbGzUHqexevVq+fHHH3VSC+kO87NyMT91w5CyU4T5WR0YW3aKMD+1jfmpG8acn2zYH8PYQsjQQqe8in+iZSgKCwslOztbuVdr165dIiJy4MABeeGFF8TW1lZWrlwpH330kXh7e0vHjh0N6pK1H3/8Ubp37y4iIpMnTxYPDw9ltNbdu3fLnDlzxNraWoYMGSKurq5Sr1492bdvn05qKQriyMhIUalU0rp1a/niiy+Ue4Zu3ryphGbfvn1l0qRJolKpjOJnjzQxPysX81O7DCk7RZif1YmxZacI81MXmJ/aY+z5yYa9DIwthAwxdIxNSZ/wXblyRdzd3cXT01P27t0rIiJnzpyRiRMnSqtWreQ///mPjBgxQrkUyRBC8/79+7Jz505xcnKSli1bSr169eSvv/7SWO/cuXOybNky6d+/v6hUKunfv7/8+++/Oqtry5YtEhERIcOHDxc3NzdZt26d8n2blZUlsbGx0qdPH3nhhRckKSlJZ3WQ7jE/q5+qkJ+Gmp0izM/qwtiyU4T5qQ3Mz391Wpux5icb9jJiCFUfxS9FunLliuTk5MitW7dE5MEIll27dhUPDw+Ji4tT1svIyFDbTt9h+Z///EcJdZEHI12qVCpxc3NT5hUF+8OPy/j444+lXbt2Wr1XrugXUGFhodr75eTkyKuvvipdu3ZVC80ifE5w1cD8rD6MPT8NLTuL9l30X+Zn9cLsrF6Yn8zP0piAysTS0lLfJVAlEBGYmDz4sXj//ffRv39/PPPMM3jrrbcQFxeHpk2b4ttvv0VeXh7mzZuHnTt3QkTQoEEDZTsRgZmZmd6O4c6dO3j55Zfh4eGhzHvxxRcRERGB+/fvo1evXigsLESNGjWQl5en1A0AKpUK77zzDkQEq1ev1ko9IgKVSoU9e/bgnXfewcCBA7Fp0yYkJCSgVq1a+Oyzz9C8eXOsXr0aUVFRuHfvnrJt7dq1tVID6Rfzs3ow9vw0tOwEmJ/VHbOz+mB+Mj8fSQ8fEhAZpOKfvK1bt04aNGggmzZtkvnz58uwYcPE3Nxctm/fLiL/d3lS+/bt5ciRI3qqWFNOTo7a9Pz585VnSxYUFEhsbKx06NBBevXqpbZeTEyMZGdnK6N5+vj4yKxZs7Q2+Me2bdvE0tJS/Pz8xNvbWzp16iS9evVSHq1x584def3116V169by2WefaeU9iajyGHt+Gmp2ijA/iao65ifz83HYsBM95ODBg+Lv7y8bNmxQ5qWnp8ukSZPEyspKCcjLly/L22+/rfbICn166623pGfPnsqgHrm5ueLv7y8qlUq2bdumzPvxxx/F2dlZunfvLidOnBBvb2/x9vZWAjI+Pl5UKpX8/vvvWqkrLS1NXFxcZNmyZcq8PXv2yPDhw+W5556TEydOiMiDS//efPNNOX/+vFbel4gqnzHmp6Fmpwjzk6g6YX4yP0vDhp2omJ9//llatWqlfLpZ3MWLF6VXr14SGhqq8cgNQwjN3377TZo0aSKDBg1SBu24deuWBAcHi6mpqWzdulVEHgTnzz//LK6urtK8eXPx9PTUeGZn0fMxteHvv/+Wpk2byjfffKM2f/fu3dKuXTulLiIybsaan4aanSLMT6LqgvnJ/HwU3sNOVMyzzz6LUaNGAQCioqJw+fJlZZm9vT0sLS1x6tQptXtvAMDU1LRS6yxJ165d8eOPP+LQoUMYOXIkbt68CSsrK8yePRsTJkzA0KFDsW3bNpibm8PLywuHDh3Ct99+i3379qFGjRrIz89HQUEBAMDW1rbCdYgIACApKQmXLl1CnTp1YGNjg/T0dABAYWEhAMDb2xtWVlb4/vvvn/DIicgQGGt+Gkp2AsxPouqK+cn8fBQ27FRtFf3gPuz999/HpEmTcOnSJSxduhQZGRkAgHv37uHmzZto1KhRZZZZLp07d8auXbvw22+/wc/PDzdv3kTdunUxZ84cTJgwAb6+vti+fTtUKhXMzc3h4uICExMTFBYWwszMTAl+lUpVofeX/z/Ax7fffosXX3wRa9asQf369dG9e3fMmTMHR44cURscpWHDhmjVqpXWjp+IKkdVy099ZyfA/CSqLpifzM/yUknRxxFE1UhhYaHyg7thwwYcPXoUFhYW6NChA95++20AwKxZs/D555/D0tISPXr0wM2bN3Hq1CkkJSWhRo0a+ixfUfw4iktKSkLfvn3RvXt3bN68GfXq1cPt27cxe/ZsLF26FPv27UOvXr10UtMPP/yA1157DcuXL8cLL7yAZs2aAQCGDh2KX375BcHBwWjUqBH+/PNPrFu3Dr/++iucnJx0UgsRaV9VyE9DzE6A+UlU1TE/mZ8VoqdL8YkMwtSpU6VRo0YybNgw6d+/v9SoUUP8/PyU5fPnz5f69etL7969JTw8XJmv7+esi6iPKnrhwgU5d+6cWl3Hjx+XRo0ayYABA5T7im7evCnLli3TWf13796V1157TaZPny4iD0YOPXPmjCxevFh27twpAwcOlOeee05at24tXl5ekpiYqJM6iEj3jDU/DTE7RZifRNUJ81O7qnp+smGnaqV40Bw4cECaNGkiv/zyi4g8CMHdu3dLvXr1ZMyYMcp6s2fPFg8PD5k+fbrcvHlTRESrj5yoiOLHMXv2bGnXrp20aNFCWrVqJfv27VMesXH8+HGxsbGRgQMHSmZmpto+dBGcd+7cETc3N5kwYYJkZmbK+PHjpVevXmJrayv29vbyySefyI0bN+T69ety69Ytrb8/EelOVchPQ81OEeYnUVXG/HyA+VkxbNip2igecvfv35cdO3aIg4ODZGdnq623ZcsWeeqpp5QgFRH54IMPxM3NTSZOnCjXrl2rtJof54MPPpAmTZrIN998IxkZGeLh4SGtW7eW6OhouXv3roiIJCYmikqlknfffbdSatq0aZPUrFlTrKysZPDgwcpopxMmTJDevXvr/dNhIiq/qpafhpidIsxPoqqI+Vk5qnJ+mun7knyiyvDzzz/jypUreOONNxAYGIhatWrBz88P165dw8GDB+Hj46Os+8wzz8DCwgLZ2dnKvDlz5uDOnTs4evSoPsovUUJCAuLi4hAZGYm+ffsiNjYWf/zxB9q0aQN/f3+sX78eL774Ijp37ozTp0+jZcuWlVKXn58f3NzccPnyZXh7eyuDqxQWFqJZs2YoKCiAmRmjh8hYVLX8NNTsBJifRFUN85P5qRX6/sSASJcKCwslKytLvL29xcvLSwYMGCBWVlaSlJQkt27dkpdfflleeeUVOXjwoLJNRkaGODs7S0xMjIioX75z/fr1Sj+GIg8/e/PUqVOyevVqERH56aefxMbGRlatWiUiIj169JBWrVrJxo0b5d69e8o2+nheZ0pKikyfPl2sra3l5MmTlf7+RFQxVSU/jTU7RZifRMaK+cn81CY27FQtZGZmiqOjo6hUKvnwww+V+TExMfLss8+Kl5eXLFu2TGJiYsTb21u6dOmiFjAPB1ZlK/7+CQkJyv8XBbivr69MnDhRCgoKJC8vT1577TVp3Lix9OnTp9JrLe7YsWMybNgwadeunSQlJem1FiKqGGPOT2PNThHmJ1FVwPzUj6qWn0Z6XQBR+ZiYmKBVq1awsbHB3r170bRpU4wcORIvv/wyzM3N8cMPP+CDDz5A27Zt0aBBAxw5cgSmpqYoKCiAqalpiY+vqCwiorz/+++/j23btmHOnDl49dVX0bBhQ9y9excXL15E586dYWJiAhMTE5iZmeHIkSOwt7fXW90A0L59e4wdOxYtWrSAnZ2dXmshooox1vw05uwEmJ9EVQHzUz+qWn7yOexUraSnp8Pf3x93797FW2+9hZEjRyrL0tLSULNmTVhbW0OlUiE/P9+g7nWZM2cOVq5ciaioKLRv3x62trbKsjfeeAM//fQT/Pz8EB8fj6ysLJw4cQKmpqalPi+TiKg8jDU/mZ1EpG/MT3oSbNip2rlw4QImTJiAvLw8vP766xg1ahR69+4NDw8PLFy4EAAMLmiuXr2KAQMGYMKECWohXzzUR40ahatXr+Kpp57C5s2bUaNGDYM7DiIybsaWn8xOIjIUzE+qKDbsVC1duHAB77zzDlJSUpCbm4tatWohISEB5ubm+i6tRKdOnULXrl2xc+dOeHh4QESgUqkAAPfu3YOlpSUA4O7du6hZsyYAGNQntERUdRhTfjI7iciQMD+pItiwU7WVlpaGhIQEXL16FaNGjYKZmZlBBE3xQCz6/5s3b8LT0xNDhw7F9OnTYWpqqtT6/fff4+LFixg/fnyJ+yAi0jZDzE9mJxEZA+YnlRcbdqL/r2iAD316+DKi3NxcWFhY4P79+wgMDMTvv/+O9957D0OGDAEA3L9/H4MGDUKdOnXw1VdfMSiJSC/0nZ/MTiIyVsxPehw27EQGonhgLl26FIcPH8b58+cxePBgvPnmm6hXrx5ef/11/PPPP2jRogUcHR2xf/9+ZGVlISkpCWZmZvx0k4iqHWYnEVHFMD+NA0cEIDIQRYEZEhKCBQsWoEWLFujVqxdWrFiBsWPH4ty5c/j666/x5ptvQkSQnJyMrl27KoGZn5/PwCSiaofZSURUMcxP48Az7ER6FBERgZ49e+KZZ54BAJw4cQKvvPIK1q9fj2effRYAcPToUUyaNAm2trb4/PPPlYE9in8qqu97n4iIKhOzk4ioYpifxodn2In05MKFC1i4cCHCw8ORnJwMADA1NVUbbbOgoABdu3ZFWFgYvv/+e+zevVvZvvj9RgxMIqoumJ1ERBXD/DRObNiJ9MTBwQHfffcdjh8/jqVLlyIlJQX169dHTk4Ozp07B+DBJ5mFhYXo1q0bnJ2dcebMGT1XTUSkX8xOIqKKYX4aJzbsRHrk4uKCNWvWICEhAZ988gkKCgowbdo0BAQEYP/+/ahRowZMTEyQk5OD3Nxc1K9fX98lExHpHbOTiKhimJ/Gh/ewExmAxMRE+Pv7w83NDUOGDMEPP/yAFStW4N1330WdOnUQHx+PK1euIDExkZcgERH9f8xOIqKKYX4aDzbsRAYiMTERo0ePhqurK/z8/HDmzBlERESgZs2asLOzw4YNG1CjRg29P6+TiMiQMDuJiCqG+Wkc2LATGZDjx49j9OjR6NKlC+bNmwcbGxu151tyRE4iIk3MTiKiimF+Gj427EQGJjExEW+//TZatGiBDz/8EK1btwYAtfAkIiJ1zE4ioophfho2DjpHZGBcXFwQHh4OKysrtGzZUpnPwCQiKh2zk4ioYpifho1n2IkMVNGnmoWFhWrPvSQiotIxO4mIKob5aZjYsBMZMF6KRERUfsxOIqKKYX4aHjbsRERERERERAaI1zoQERERERERGSA27EREREREREQGiA07ERERERERkQFiw05ERERERERkgNiwExERERERERkgNuxElSwyMhL16tXTdxlEREaH+UlEVDHMT+PFhp2IiIiIiIjIALFhJ63Jy8vTdwnVxv379/VdAhFpEfOz8jA/iaoW5mflYX7qBxt2qrBnn30W48ePR3BwMBo2bAhvb28kJyejf//+qFOnDmxsbDBy5EhkZGQo2xQWFmLRokVo3bo1LCws0Lx5cyxYsEBZfvLkSfTu3Rs1a9ZEgwYNMHr0aGRnZyvL33zzTQwaNAgLFy6EjY0N6tWrhzlz5iA/Px9Tp05F/fr10axZM2zYsEHZ5uLFi1CpVPj666/h6emJmjVromvXrjhz5gyOHj0KNzc31KlTBy+88AKuX7+udowbN25Eu3btYGlpCScnJ4SHh2vsd9u2bXjuuedQq1YtPPPMMzh8+LDaPiIjI9G8eXPUqlULgwcPRmZmpsbXcseOHXB1dYWlpSVatmypHFMRlUqFVatWYeDAgahduzbmz59fgX8xIjIUzE/mJxFVDPOT+VntCFEFeXl5SZ06dWTq1Kly6tQpOXTokDRs2FBCQkIkJSVFjh8/Lt7e3vLcc88p27z77rvy1FNPSWRkpJw7d07i4+Nl7dq1IiKSk5MjTZs2lVdeeUVOnjwpe/fuFQcHBxk1apSy/ahRo6Ru3boybtw4OXXqlKxfv14ASN++fWXBggVy5swZmTdvntSoUUNSU1NFROTChQsCQJycnGTnzp2SnJwsPXr0kC5dusizzz4rBw4ckOPHj0vr1q0lMDBQea81a9aIra2tbN26Vc6fPy9bt26V+vXrS2RkpMZ+v//+ezl9+rQMGTJE7O3t5f79+yIicuTIEVGpVBIaGiqnT5+WZcuWSb169cTa2lp5n507d4qVlZVERkbKX3/9Jbt375YWLVrI7NmzlXUASOPGjWX9+vXy119/ycWLF7X+70lElYf5yfwkoophfjI/qxs27FRhXl5e0rlzZ2X6/fffFx8fH7V1Ll26JADk9OnTkpWVJRYWFkpAPmzNmjXy1FNPSXZ2tjLvhx9+EBMTE0lPTxeRB4Fpb28vBQUFyjqOjo7i6empTOfn50vt2rUlKipKRP4v2NatW6esExUVJQBk7969yrzQ0FBxdHRUpu3s7OTLL79Uq3HevHni7u5e6n7//PNPASApKSkiIjJs2DB54YUX1Pbh6+urFpienp6ycOFCtXU+++wzsbW1VaYByOTJk0v8uhGR8WF+Mj+JqGKYn8zP6sasMs7iU9Xl5uam/H9CQgJ+/vln1KlTR2O9v/76Czdv3kRubi769OlT4r5SUlLwzDPPoHbt2so8Dw8PFBYW4vTp07CxsQEAdOjQASYm/3c3h42NDZydnZVpU1NTNGjQANeuXVPbf6dOndS2AYCOHTuqzSva5vr167h06RL8/f3x9ttvK+vk5+fD2tq61P3a2toCAK5duwYnJyekpKRg8ODBauu7u7tj586dynRCQgKOHj2qdmlWQUEB7t27hzt37qBWrVoA1L/WRGT8mJ/MTyKqGOYn87M6YcNOT6R4uBUWFmLAgAFYtGiRxnq2trY4f/78I/clIlCpVCUuKz6/Ro0aGstKmldYWKg2r/g6Rft7eF7RNkX/Xbt2Lbp37662H1NT08fut2h7ESnxeIorLCzEnDlz8Morr2gss7S0VP6/+NeaiIwf85P5SUQVw/xkflYnbNhJa7p06YKtW7eiRYsWMDPT/NZq06YNatasib179yIgIEBjefv27bFp0ybk5OQo4XDw4EGYmJigbdu2Oq+/OBsbGzz99NM4f/483njjjQrvp3379jhy5IjavIenu3TpgtOnT6N169YVfh8iMm7MT03MTyIqC+anJuZn1cJR4klrxo0bhxs3bmDYsGH47bffcP78eezevRv//e9/UVBQAEtLS7z33nt49913sXnzZvz11184cuQI1q9fDwB44403YGlpiVGjRuGPP/7Azz//jAkTJmDkyJHKJUSVafbs2QgNDcWyZctw5swZnDx5Ehs3bsSSJUvKvI+JEydi586d+Oijj3DmzBl8+umnapcjAcAHH3yAzZs3Y/bs2fjzzz+RkpKC6OhozJw5U9uHREQGivmpiflJRGXB/NTE/Kxa2LCT1jRt2hQHDx5EQUEB+vbtC2dnZ0yaNAnW1tbKPT/vv/8+/ve//+GDDz5Au3bt4Ovrq9y3U6tWLezatQs3btxA165dMWTIEPTp0weffvqpXo4nICAA69atQ2RkJDp27AgvLy9ERkbCwcGhzPvo0aMH1q1bhxUrVqBz587YvXu3RhD27dsX33//PeLi4tC1a1f06NEDS5Ysgb29vbYPiYgMFPNTE/OTiMqC+amJ+Vm1qKQsNzkQERERERERUaXiGXYiIiIiIiIiA8SGnYiIiIiIiMgAsWEnIiIiIiIiMkBs2ImIiIiIiIgMEBt2IiIiIiIiIgPEhp2IiIiIiIjIALFhJyIiIiIiIjJAbNiJiIiIiIiIDBAbdiIiIiIiIiIDxIadiIiIiIiIyACxYSciIiIiIiIyQP8PSq42P60/KikAAAAASUVORK5CYII=", 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", "text/plain": [ "
" ] @@ -299,7 +299,7 @@ }, { "cell_type": "markdown", - "id": "5fb1205d", + "id": "9fa69046", "metadata": {}, "source": [ "The summary tables show the mean values, standard deviation, and quantiles (10%ile, Median, 90%ile), each accompanied by their respective 95% confidence intervals for effectiveness metrics across recommenders." @@ -308,13 +308,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "f45a5cc3", + "id": "9a08d790", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:15:06.424155Z", - "iopub.status.busy": "2024-11-27T02:15:06.423949Z", - "iopub.status.idle": "2024-11-27T02:33:26.289925Z", - "shell.execute_reply": "2024-11-27T02:33:26.289205Z" + "iopub.execute_input": "2024-12-03T03:33:27.696040Z", + "iopub.status.busy": "2024-12-03T03:33:27.695958Z", + "iopub.status.idle": "2024-12-03T03:42:47.863720Z", + "shell.execute_reply": "2024-12-03T03:42:47.863357Z" } }, "outputs": [ @@ -364,9 +364,9 @@ "0.417
(0.414,0.420)\n", "0.411
(0.410,0.412)\n", "0.000
(0.000,0.000)\n", - "0.431
(0.402,0.431)\n", + "0.430
(0.402,0.431)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "pfar\n", "0.417
(0.414,0.420)\n", @@ -377,16 +377,16 @@ "\n", "\n", "softmax\n", - "0.383
(0.381,0.386)\n", + "0.383
(0.380,0.386)\n", "0.406
(0.405,0.407)\n", "0.000
(0.000,0.000)\n", "0.281
(0.250,0.315)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "topic-cali\n", "0.417
(0.414,0.420)\n", - "0.411
(0.410,0.412)\n", + "0.411
(0.409,0.412)\n", "0.000
(0.000,0.000)\n", "0.431
(0.402,0.431)\n", "1.000
(1.000,1.000)\n", @@ -438,19 +438,19 @@ "\n", "mmr\n", "0.498
(0.492,0.504)\n", - "0.775
(0.765,0.786)\n", + "0.775
(0.764,0.786)\n", "0.000
(0.000,0.000)\n", "0.333
(0.333,0.333)\n", "1.000
(1.000,1.000)\n", "\n", "\n", "nrms\n", - "0.482
(0.480,0.485)\n", + "0.483
(0.480,0.485)\n", "0.370
(0.369,0.371)\n", "0.000
(0.000,0.000)\n", "0.431
(0.431,0.431)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "pfar\n", "0.483
(0.480,0.485)\n", @@ -462,11 +462,11 @@ "\n", "softmax\n", "0.451
(0.448,0.453)\n", - "0.369
(0.367,0.370)\n", + "0.368
(0.367,0.369)\n", "0.000
(0.000,0.000)\n", "0.387
(0.387,0.387)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "topic-cali\n", "0.483
(0.480,0.485)\n", @@ -534,7 +534,7 @@ "0.000
(0.000,0.000)\n", "0.250
(0.250,0.250)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "pfar\n", "0.371
(0.368,0.373)\n", @@ -545,12 +545,12 @@ "\n", "\n", "softmax\n", - "0.332
(0.329,0.334)\n", - "0.341
(0.340,0.343)\n", + "0.332
(0.330,0.335)\n", + "0.341
(0.339,0.343)\n", "0.000
(0.000,0.000)\n", "0.200
(0.200,0.200)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "topic-cali\n", "0.371
(0.368,0.373)\n", @@ -583,7 +583,7 @@ }, { "cell_type": "markdown", - "id": "924bcf43", + "id": "367638d0", "metadata": {}, "source": [ "### 2. 2 Ranking Overlap Metrics\n", @@ -593,19 +593,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "c1d9dfc0", + "id": "8c9457e3", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:33:26.292819Z", - "iopub.status.busy": "2024-11-27T02:33:26.291808Z", - "iopub.status.idle": "2024-11-27T02:33:33.391970Z", - "shell.execute_reply": "2024-11-27T02:33:33.391171Z" + "iopub.execute_input": "2024-12-03T03:42:47.864518Z", + "iopub.status.busy": "2024-12-03T03:42:47.864458Z", + "iopub.status.idle": "2024-12-03T03:42:51.001970Z", + "shell.execute_reply": "2024-12-03T03:42:51.001607Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -628,7 +628,7 @@ }, { "cell_type": "markdown", - "id": "b6df6693", + "id": "7c6c374f", "metadata": {}, "source": [ "The summary tables show the mean values, standard deviation, and quantiles (10%ile, Median, 90%ile), each accompanied by their respective 95% confidence intervals for ranking overlap metrics across recommenders." @@ -637,13 +637,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "ecb2df6a", + "id": "742b0cef", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:33:33.394140Z", - "iopub.status.busy": "2024-11-27T02:33:33.393949Z", - "iopub.status.idle": "2024-11-27T02:45:26.114538Z", - "shell.execute_reply": "2024-11-27T02:45:26.113598Z" + "iopub.execute_input": "2024-12-03T03:42:51.002877Z", + "iopub.status.busy": "2024-12-03T03:42:51.002808Z", + "iopub.status.idle": "2024-12-03T03:48:51.513176Z", + "shell.execute_reply": "2024-12-03T03:48:51.512997Z" } }, "outputs": [ @@ -706,12 +706,12 @@ "\n", "\n", "softmax\n", - "0.210
(0.209,0.211)\n", - "0.111
(0.111,0.112)\n", - "0.044
(0.044,0.058)\n", + "0.210
(0.209,0.210)\n", + "0.112
(0.111,0.112)\n", + "0.044
(0.044,0.044)\n", "0.216
(0.216,0.219)\n", "0.364
(0.351,0.364)\n", - "\n", + "\n", "\n", "topic-cali\n", "0.391
(0.391,0.392)\n", @@ -775,7 +775,7 @@ "\n", "nrms\n", "0.608
(0.607,0.609)\n", - "0.126
(0.125,0.128)\n", + "0.126
(0.124,0.128)\n", "0.525
(0.525,0.525)\n", "0.651
(0.651,0.651)\n", "0.651
(0.651,0.651)\n", @@ -783,23 +783,23 @@ "\n", "pfar\n", "0.608
(0.607,0.609)\n", - "0.126
(0.125,0.128)\n", + "0.126
(0.124,0.128)\n", "0.525
(0.525,0.525)\n", "0.651
(0.651,0.651)\n", "0.651
(0.651,0.651)\n", "\n", "\n", "softmax\n", - "0.372
(0.371,0.374)\n", - "0.145
(0.145,0.146)\n", - "0.173
(0.172,0.176)\n", - "0.381
(0.380,0.384)\n", - "0.552
(0.552,0.553)\n", - "\n", + "0.372
(0.371,0.373)\n", + "0.146
(0.145,0.147)\n", + "0.172
(0.168,0.173)\n", + "0.381
(0.380,0.383)\n", + "0.552
(0.552,0.554)\n", + "\n", "\n", "topic-cali\n", "0.608
(0.607,0.609)\n", - "0.126
(0.125,0.128)\n", + "0.126
(0.124,0.128)\n", "0.525
(0.525,0.525)\n", "0.651
(0.651,0.651)\n", "0.651
(0.651,0.651)\n", diff --git a/notebooks/mind-subset.ipynb b/notebooks/mind-subset.ipynb index 0b5b6dc1..3c2f9dba 100644 --- a/notebooks/mind-subset.ipynb +++ b/notebooks/mind-subset.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "03c24fff", + "id": "7e7864a6", "metadata": {}, "source": [ "# Offline Evaluation Metrics Visualizations\n", @@ -13,7 +13,7 @@ }, { "cell_type": "markdown", - "id": "612d9d31", + "id": "3f2cd2ec", "metadata": {}, "source": [ "## 1. Setup" @@ -21,7 +21,7 @@ }, { "cell_type": "markdown", - "id": "f6291c21", + "id": "e583d35d", "metadata": {}, "source": [ "### 1. 1 Importing Libraries" @@ -29,7 +29,7 @@ }, { "cell_type": "markdown", - "id": "24c58c4f", + "id": "bbf1cc33", "metadata": {}, "source": [ "PyData packages:" @@ -38,13 +38,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "bc4e19c7", + "id": "5ee837a9", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:45:30.667714Z", - "iopub.status.busy": "2024-11-27T02:45:30.667549Z", - "iopub.status.idle": "2024-11-27T02:45:31.572080Z", - "shell.execute_reply": "2024-11-27T02:45:31.571105Z" + "iopub.execute_input": "2024-12-03T03:48:52.690524Z", + "iopub.status.busy": "2024-12-03T03:48:52.690466Z", + "iopub.status.idle": "2024-12-03T03:48:53.048832Z", + "shell.execute_reply": "2024-12-03T03:48:53.048430Z" } }, "outputs": [], @@ -57,7 +57,7 @@ }, { "cell_type": "markdown", - "id": "4211b910", + "id": "9773d865", "metadata": {}, "source": [ "Local code:" @@ -66,13 +66,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "0a0df770", + "id": "86982244", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:45:31.574953Z", - "iopub.status.busy": "2024-11-27T02:45:31.574692Z", - "iopub.status.idle": "2024-11-27T02:45:31.579267Z", - "shell.execute_reply": "2024-11-27T02:45:31.578694Z" + "iopub.execute_input": "2024-12-03T03:48:53.050035Z", + "iopub.status.busy": "2024-12-03T03:48:53.049932Z", + "iopub.status.idle": "2024-12-03T03:48:53.052092Z", + "shell.execute_reply": "2024-12-03T03:48:53.051849Z" } }, "outputs": [], @@ -84,7 +84,7 @@ }, { "cell_type": "markdown", - "id": "09380ba6", + "id": "ad817f4e", "metadata": {}, "source": [ "### 1. 2 Loading Data" @@ -93,13 +93,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "2b261888", + "id": "e893f401", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:45:31.581458Z", - "iopub.status.busy": "2024-11-27T02:45:31.581290Z", - "iopub.status.idle": "2024-11-27T02:45:31.605449Z", - "shell.execute_reply": "2024-11-27T02:45:31.604852Z" + "iopub.execute_input": "2024-12-03T03:48:53.053038Z", + "iopub.status.busy": "2024-12-03T03:48:53.052972Z", + "iopub.status.idle": "2024-12-03T03:48:53.075423Z", + "shell.execute_reply": "2024-12-03T03:48:53.075162Z" } }, "outputs": [ @@ -139,60 +139,60 @@ " \n", " 0\n", " 0\n", - " 0120aa53-e102-5328-8a96-2a71a9bf9083\n", + " 00410eda-2611-5ecd-a53b-22b6d97c7a26\n", " nrms\n", " True\n", - " 0.63093\n", - " 0.63093\n", + " 0.0\n", " 0.333333\n", + " 0.125000\n", " 0.409510\n", " 0.651322\n", " \n", " \n", " 1\n", " 1\n", - " 0120aa53-e102-5328-8a96-2a71a9bf9083\n", + " 00410eda-2611-5ecd-a53b-22b6d97c7a26\n", " mmr\n", " True\n", - " 0.00000\n", - " 0.00000\n", - " 0.000000\n", - " 0.203347\n", - " 0.235416\n", + " 0.0\n", + " 0.356207\n", + " 0.142857\n", + " 0.306694\n", + " 0.479584\n", " \n", " \n", " 2\n", " 2\n", - " 0120aa53-e102-5328-8a96-2a71a9bf9083\n", + " 00410eda-2611-5ecd-a53b-22b6d97c7a26\n", " pfar\n", " True\n", - " 0.63093\n", - " 0.63093\n", + " 0.0\n", " 0.333333\n", + " 0.125000\n", " 0.409510\n", " 0.651322\n", " \n", " \n", " 3\n", " 3\n", - " 0120aa53-e102-5328-8a96-2a71a9bf9083\n", + " 00410eda-2611-5ecd-a53b-22b6d97c7a26\n", " topic-cali\n", " True\n", - " 0.63093\n", - " 0.63093\n", + " 0.0\n", " 0.333333\n", + " 0.125000\n", " 0.409510\n", " 0.651322\n", " \n", " \n", " 4\n", " 4\n", - " 0120aa53-e102-5328-8a96-2a71a9bf9083\n", + " 00410eda-2611-5ecd-a53b-22b6d97c7a26\n", " locality-cali\n", " True\n", - " 0.63093\n", - " 0.63093\n", + " 0.0\n", " 0.333333\n", + " 0.125000\n", " 0.409510\n", " 0.651322\n", " \n", @@ -202,18 +202,18 @@ ], "text/plain": [ " Unnamed: 0 profile_id recommender \\\n", - "0 0 0120aa53-e102-5328-8a96-2a71a9bf9083 nrms \n", - "1 1 0120aa53-e102-5328-8a96-2a71a9bf9083 mmr \n", - "2 2 0120aa53-e102-5328-8a96-2a71a9bf9083 pfar \n", - "3 3 0120aa53-e102-5328-8a96-2a71a9bf9083 topic-cali \n", - "4 4 0120aa53-e102-5328-8a96-2a71a9bf9083 locality-cali \n", + "0 0 00410eda-2611-5ecd-a53b-22b6d97c7a26 nrms \n", + "1 1 00410eda-2611-5ecd-a53b-22b6d97c7a26 mmr \n", + "2 2 00410eda-2611-5ecd-a53b-22b6d97c7a26 pfar \n", + "3 3 00410eda-2611-5ecd-a53b-22b6d97c7a26 topic-cali \n", + "4 4 00410eda-2611-5ecd-a53b-22b6d97c7a26 locality-cali \n", "\n", - " personalized NDCG@5 NDCG@10 RR RBO@5 RBO@10 \n", - "0 True 0.63093 0.63093 0.333333 0.409510 0.651322 \n", - "1 True 0.00000 0.00000 0.000000 0.203347 0.235416 \n", - "2 True 0.63093 0.63093 0.333333 0.409510 0.651322 \n", - "3 True 0.63093 0.63093 0.333333 0.409510 0.651322 \n", - "4 True 0.63093 0.63093 0.333333 0.409510 0.651322 " + " personalized NDCG@5 NDCG@10 RR RBO@5 RBO@10 \n", + "0 True 0.0 0.333333 0.125000 0.409510 0.651322 \n", + "1 True 0.0 0.356207 0.142857 0.306694 0.479584 \n", + "2 True 0.0 0.333333 0.125000 0.409510 0.651322 \n", + "3 True 0.0 0.333333 0.125000 0.409510 0.651322 \n", + "4 True 0.0 0.333333 0.125000 0.409510 0.651322 " ] }, "execution_count": 3, @@ -229,13 +229,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "0c564a28", + "id": "58681b9c", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:45:31.607099Z", - "iopub.status.busy": "2024-11-27T02:45:31.606924Z", - "iopub.status.idle": "2024-11-27T02:45:31.609807Z", - "shell.execute_reply": "2024-11-27T02:45:31.609270Z" + "iopub.execute_input": "2024-12-03T03:48:53.076216Z", + "iopub.status.busy": "2024-12-03T03:48:53.076136Z", + "iopub.status.idle": "2024-12-03T03:48:53.077583Z", + "shell.execute_reply": "2024-12-03T03:48:53.077434Z" } }, "outputs": [], @@ -246,7 +246,7 @@ }, { "cell_type": "markdown", - "id": "eb110c9b", + "id": "c052e8fe", "metadata": {}, "source": [ "## 2. Results" @@ -254,7 +254,7 @@ }, { "cell_type": "markdown", - "id": "22d658ec", + "id": "4df34bf5", "metadata": {}, "source": [ "### 2. 1 Effectiveness Metrics\n", @@ -264,19 +264,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "ea84f3b1", + "id": "133296b2", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:45:31.611522Z", - "iopub.status.busy": "2024-11-27T02:45:31.611363Z", - "iopub.status.idle": "2024-11-27T02:45:32.298680Z", - "shell.execute_reply": "2024-11-27T02:45:32.297945Z" + "iopub.execute_input": "2024-12-03T03:48:53.078370Z", + "iopub.status.busy": "2024-12-03T03:48:53.078239Z", + "iopub.status.idle": "2024-12-03T03:48:53.329019Z", + "shell.execute_reply": "2024-12-03T03:48:53.328764Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -299,7 +299,7 @@ }, { "cell_type": "markdown", - "id": "dfc2349f", + "id": "fe155a86", "metadata": {}, "source": [ "The summary tables show the mean values, standard deviation, and quantiles (10%ile, Median, 90%ile), each accompanied by their respective 95% confidence intervals for effectiveness metrics across recommenders." @@ -308,13 +308,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "396c2143", + "id": "7b1a3d75", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:45:32.300632Z", - "iopub.status.busy": "2024-11-27T02:45:32.300447Z", - "iopub.status.idle": "2024-11-27T02:46:01.560828Z", - "shell.execute_reply": "2024-11-27T02:46:01.559466Z" + "iopub.execute_input": "2024-12-03T03:48:53.330253Z", + "iopub.status.busy": "2024-12-03T03:48:53.330189Z", + "iopub.status.idle": "2024-12-03T03:49:04.204300Z", + "shell.execute_reply": "2024-12-03T03:49:04.204134Z" } }, "outputs": [ @@ -345,7 +345,7 @@ "\n", "\n", "locality-cali\n", - "0.413
(0.387,0.437)\n", + "0.413
(0.387,0.438)\n", "0.410
(0.401,0.419)\n", "0.000
(0.000,0.000)\n", "0.380
(0.315,0.431)\n", @@ -353,20 +353,20 @@ "\n", "\n", "mmr\n", - "0.363
(0.327,0.397)\n", - "0.554
(0.509,0.601)\n", + "0.363
(0.328,0.397)\n", + "0.554
(0.509,0.600)\n", "0.000
(0.000,0.000)\n", "0.000
(0.000,0.000)\n", "1.000
(1.000,1.000)\n", "\n", "\n", "nrms\n", - "0.410
(0.385,0.436)\n", - "0.408
(0.399,0.418)\n", + "0.410
(0.385,0.435)\n", + "0.409
(0.399,0.418)\n", "0.000
(0.000,0.000)\n", "0.380
(0.315,0.431)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "pfar\n", "0.413
(0.387,0.438)\n", @@ -377,12 +377,12 @@ "\n", "\n", "softmax\n", - "0.384
(0.359,0.409)\n", - "0.407
(0.398,0.418)\n", + "0.385
(0.360,0.410)\n", + "0.410
(0.401,0.420)\n", "0.000
(0.000,0.000)\n", - "0.250
(0.215,0.380)\n", + "0.250
(0.190,0.380)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "topic-cali\n", "0.413
(0.387,0.438)\n", @@ -429,50 +429,50 @@ "\n", "\n", "locality-cali\n", - "0.480
(0.457,0.503)\n", + "0.480
(0.458,0.503)\n", "0.368
(0.359,0.378)\n", "0.000
(0.000,0.000)\n", - "0.431
(0.397,0.457)\n", + "0.431
(0.395,0.457)\n", "1.000
(1.000,1.000)\n", "\n", "\n", "mmr\n", - "0.520
(0.466,0.569)\n", - "0.826
(0.736,0.922)\n", + "0.520
(0.468,0.570)\n", + "0.826
(0.739,0.921)\n", "0.000
(0.000,0.000)\n", "0.333
(0.315,0.356)\n", "1.000
(1.000,1.000)\n", "\n", "\n", "nrms\n", - "0.477
(0.455,0.500)\n", - "0.367
(0.357,0.377)\n", + "0.476
(0.453,0.499)\n", + "0.368
(0.359,0.378)\n", "0.000
(0.000,0.000)\n", - "0.431
(0.395,0.453)\n", + "0.431
(0.387,0.457)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "pfar\n", - "0.480
(0.457,0.503)\n", + "0.480
(0.457,0.502)\n", "0.368
(0.359,0.378)\n", "0.000
(0.000,0.000)\n", - "0.431
(0.397,0.455)\n", + "0.431
(0.393,0.457)\n", "1.000
(1.000,1.000)\n", "\n", "\n", "softmax\n", - "0.451
(0.428,0.474)\n", - "0.370
(0.361,0.381)\n", + "0.451
(0.428,0.475)\n", + "0.373
(0.364,0.384)\n", "0.000
(0.000,0.000)\n", - "0.387
(0.380,0.431)\n", + "0.387
(0.370,0.431)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "topic-cali\n", - "0.480
(0.457,0.502)\n", + "0.480
(0.457,0.503)\n", "0.368
(0.359,0.378)\n", "0.000
(0.000,0.000)\n", - "0.431
(0.395,0.455)\n", + "0.431
(0.394,0.457)\n", "1.000
(1.000,1.000)\n", "\n", "\n", @@ -513,7 +513,7 @@ "\n", "\n", "locality-cali\n", - "0.377
(0.355,0.400)\n", + "0.377
(0.354,0.400)\n", "0.364
(0.353,0.377)\n", "0.000
(0.000,0.000)\n", "0.250
(0.225,0.250)\n", @@ -529,15 +529,15 @@ "\n", "\n", "nrms\n", - "0.377
(0.354,0.399)\n", - "0.364
(0.353,0.377)\n", + "0.372
(0.350,0.395)\n", + "0.362
(0.350,0.375)\n", "0.000
(0.000,0.000)\n", "0.250
(0.200,0.250)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "pfar\n", - "0.377
(0.355,0.400)\n", + "0.377
(0.354,0.400)\n", "0.364
(0.353,0.377)\n", "0.000
(0.000,0.000)\n", "0.250
(0.225,0.250)\n", @@ -545,12 +545,12 @@ "\n", "\n", "softmax\n", - "0.345
(0.322,0.366)\n", - "0.353
(0.340,0.367)\n", + "0.338
(0.317,0.359)\n", + "0.349
(0.335,0.363)\n", "0.000
(0.000,0.000)\n", - "0.200
(0.200,0.250)\n", + "0.250
(0.200,0.250)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "topic-cali\n", "0.377
(0.354,0.400)\n", @@ -583,7 +583,7 @@ }, { "cell_type": "markdown", - "id": "aa9ef6da", + "id": "1bf347c8", "metadata": {}, "source": [ "### 2. 2 Ranking Overlap Metrics\n", @@ -593,19 +593,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "76ee2cd0", + "id": "5739001d", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:46:01.563410Z", - "iopub.status.busy": "2024-11-27T02:46:01.563181Z", - "iopub.status.idle": "2024-11-27T02:46:02.011355Z", - "shell.execute_reply": "2024-11-27T02:46:02.010526Z" + "iopub.execute_input": "2024-12-03T03:49:04.205272Z", + "iopub.status.busy": "2024-12-03T03:49:04.205134Z", + "iopub.status.idle": "2024-12-03T03:49:04.364725Z", + "shell.execute_reply": "2024-12-03T03:49:04.364557Z" } }, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -628,7 +628,7 @@ }, { "cell_type": "markdown", - "id": "c51771dc", + "id": "bfa8f9d8", "metadata": {}, "source": [ "The summary tables show the mean values, standard deviation, and quantiles (10%ile, Median, 90%ile), each accompanied by their respective 95% confidence intervals for ranking overlap metrics across recommenders." @@ -637,13 +637,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "0582a666", + "id": "6f89b956", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T02:46:02.013467Z", - "iopub.status.busy": "2024-11-27T02:46:02.013278Z", - "iopub.status.idle": "2024-11-27T02:46:21.219969Z", - "shell.execute_reply": "2024-11-27T02:46:21.219108Z" + "iopub.execute_input": "2024-12-03T03:49:04.365840Z", + "iopub.status.busy": "2024-12-03T03:49:04.365771Z", + "iopub.status.idle": "2024-12-03T03:49:11.409405Z", + "shell.execute_reply": "2024-12-03T03:49:11.409222Z" } }, "outputs": [ @@ -679,7 +679,7 @@ "0.396
(0.307,0.396)\n", "0.410
(0.410,0.410)\n", "0.410
(0.410,0.410)\n", - "\n", + "\n", "\n", "mmr\n", "0.227
(0.223,0.231)\n", @@ -691,7 +691,7 @@ "\n", "nrms\n", "0.389
(0.384,0.394)\n", - "0.078
(0.067,0.089)\n", + "0.078
(0.067,0.090)\n", "0.396
(0.307,0.396)\n", "0.410
(0.410,0.410)\n", "0.410
(0.410,0.410)\n", @@ -703,15 +703,15 @@ "0.396
(0.307,0.396)\n", "0.410
(0.410,0.410)\n", "0.410
(0.410,0.410)\n", - "\n", + "\n", "\n", "softmax\n", - "0.209
(0.202,0.215)\n", - "0.108
(0.105,0.112)\n", - "0.058
(0.044,0.071)\n", - "0.216
(0.206,0.220)\n", - "0.351
(0.346,0.364)\n", - "\n", + "0.213
(0.206,0.220)\n", + "0.115
(0.112,0.119)\n", + "0.044
(0.031,0.058)\n", + "0.220
(0.207,0.234)\n", + "0.365
(0.351,0.378)\n", + "\n", "\n", "topic-cali\n", "0.389
(0.384,0.394)\n", @@ -719,7 +719,7 @@ "0.396
(0.307,0.396)\n", "0.410
(0.410,0.410)\n", "0.410
(0.410,0.410)\n", - "\n", + "\n", "\n", "\n", "\n" @@ -763,11 +763,11 @@ "0.525
(0.371,0.525)\n", "0.651
(0.651,0.651)\n", "0.651
(0.651,0.651)\n", - "\n", + "\n", "\n", "mmr\n", "0.323
(0.317,0.330)\n", - "0.107
(0.101,0.113)\n", + "0.107
(0.102,0.113)\n", "0.235
(0.235,0.235)\n", "0.309
(0.299,0.321)\n", "0.453
(0.453,0.472)\n", @@ -782,28 +782,28 @@ "\n", "\n", "pfar\n", - "0.604
(0.596,0.612)\n", - "0.133
(0.118,0.149)\n", + "0.604
(0.596,0.613)\n", + "0.133
(0.118,0.150)\n", "0.525
(0.371,0.525)\n", "0.651
(0.651,0.651)\n", "0.651
(0.651,0.651)\n", - "\n", + "\n", "\n", "softmax\n", - "0.371
(0.362,0.380)\n", - "0.142
(0.136,0.148)\n", - "0.180
(0.166,0.201)\n", - "0.374
(0.371,0.390)\n", - "0.549
(0.534,0.562)\n", - "\n", + "0.375
(0.366,0.385)\n", + "0.150
(0.144,0.157)\n", + "0.172
(0.158,0.191)\n", + "0.384
(0.371,0.399)\n", + "0.563
(0.552,0.570)\n", + "\n", "\n", "topic-cali\n", "0.604
(0.596,0.612)\n", - "0.133
(0.118,0.149)\n", + "0.133
(0.118,0.150)\n", "0.525
(0.371,0.525)\n", "0.651
(0.651,0.651)\n", "0.651
(0.651,0.651)\n", - "\n", + "\n", "\n", "\n", "\n" diff --git a/notebooks/mind-val.ipynb b/notebooks/mind-val.ipynb index d67354d4..5ce0957e 100644 --- a/notebooks/mind-val.ipynb +++ b/notebooks/mind-val.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "ce20f658", + "id": "8a10aa41", "metadata": {}, "source": [ "# Offline Evaluation Metrics Visualizations\n", @@ -13,7 +13,7 @@ }, { "cell_type": "markdown", - "id": "61343f30", + "id": "1c5662a2", "metadata": {}, "source": [ "## 1. Setup" @@ -21,7 +21,7 @@ }, { "cell_type": "markdown", - "id": "7f1429fd", + "id": "2d8e8882", "metadata": {}, "source": [ "### 1. 1 Importing Libraries" @@ -29,7 +29,7 @@ }, { "cell_type": "markdown", - "id": "db135839", + "id": "6d52c25b", "metadata": {}, "source": [ "PyData packages:" @@ -38,13 +38,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "3d87468d", + "id": "b73a6e3e", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T00:14:59.642909Z", - "iopub.status.busy": "2024-11-27T00:14:59.642758Z", - "iopub.status.idle": "2024-11-27T00:15:03.282219Z", - "shell.execute_reply": "2024-11-27T00:15:03.281336Z" + "iopub.execute_input": "2024-12-03T02:11:04.134875Z", + "iopub.status.busy": "2024-12-03T02:11:04.134614Z", + "iopub.status.idle": "2024-12-03T02:11:06.672502Z", + "shell.execute_reply": "2024-12-03T02:11:06.672210Z" } }, "outputs": [], @@ -57,7 +57,7 @@ }, { "cell_type": "markdown", - "id": "acf9b642", + "id": "9d1862f7", "metadata": {}, "source": [ "Local code:" @@ -66,13 +66,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "6a317a76", + "id": "0d8353f3", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T00:15:03.285097Z", - "iopub.status.busy": "2024-11-27T00:15:03.284849Z", - "iopub.status.idle": "2024-11-27T00:15:03.290999Z", - "shell.execute_reply": "2024-11-27T00:15:03.290390Z" + "iopub.execute_input": "2024-12-03T02:11:06.674005Z", + "iopub.status.busy": "2024-12-03T02:11:06.673823Z", + "iopub.status.idle": "2024-12-03T02:11:06.676962Z", + "shell.execute_reply": "2024-12-03T02:11:06.676718Z" } }, "outputs": [], @@ -84,7 +84,7 @@ }, { "cell_type": "markdown", - "id": "037f57ab", + "id": "bf13fc36", "metadata": {}, "source": [ "### 1. 2 Loading Data" @@ -93,13 +93,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "2e404fd4", + "id": "4e615fca", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T00:15:03.293202Z", - "iopub.status.busy": "2024-11-27T00:15:03.293042Z", - "iopub.status.idle": "2024-11-27T00:15:05.723482Z", - "shell.execute_reply": "2024-11-27T00:15:05.722782Z" + "iopub.execute_input": "2024-12-03T02:11:06.677978Z", + "iopub.status.busy": "2024-12-03T02:11:06.677879Z", + "iopub.status.idle": "2024-12-03T02:11:08.414212Z", + "shell.execute_reply": "2024-12-03T02:11:08.413855Z" } }, "outputs": [ @@ -229,13 +229,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "8572d6b2", + "id": "47b2db19", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T00:15:05.725413Z", - "iopub.status.busy": "2024-11-27T00:15:05.725239Z", - "iopub.status.idle": "2024-11-27T00:15:05.728470Z", - "shell.execute_reply": "2024-11-27T00:15:05.727886Z" + "iopub.execute_input": "2024-12-03T02:11:08.415524Z", + "iopub.status.busy": "2024-12-03T02:11:08.415384Z", + "iopub.status.idle": "2024-12-03T02:11:08.417109Z", + "shell.execute_reply": "2024-12-03T02:11:08.416872Z" } }, "outputs": [], @@ -246,7 +246,7 @@ }, { "cell_type": "markdown", - "id": "e631696b", + "id": "627acff8", "metadata": {}, "source": [ "## 2. Results" @@ -254,7 +254,7 @@ }, { "cell_type": "markdown", - "id": "3edde1e6", + "id": "9ab3b179", "metadata": {}, "source": [ "### 2. 1 Effectiveness Metrics\n", @@ -264,19 +264,19 @@ { "cell_type": "code", "execution_count": 5, - "id": "5ba52445", + "id": "6c33f914", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T00:15:05.730116Z", - "iopub.status.busy": "2024-11-27T00:15:05.729963Z", - "iopub.status.idle": "2024-11-27T00:16:00.482932Z", - "shell.execute_reply": "2024-11-27T00:16:00.482192Z" + "iopub.execute_input": "2024-12-03T02:11:08.418180Z", + "iopub.status.busy": "2024-12-03T02:11:08.418028Z", + "iopub.status.idle": "2024-12-03T02:11:42.984008Z", + "shell.execute_reply": "2024-12-03T02:11:42.983586Z" } }, "outputs": [ { "data": { - "image/png": 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", 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IjI2vry8yMzMxd+5cpKWlwdnZGTt37oS9vT0AIC0tTW1wzoKCAgQHB+P8+fMwMzNDq1at8OGHH2LMmDFKmx49euCrr77CzJkzMWvWLLRq1QpRUVHo2rVrpZ8fEVU/7LATERmZ4rd9Dho0SFkfFxeHAQMGaLS3srLCiRMn1NaFhYXhp59+wjfffKM8u0lEVBUEBgYiMDCwxG0RERFqyxMmTFC7ml6awYMHY/Dgwdooj4ioXNhhJyIyQuW57dPExATOzs5q+zdu3BiWlpYa64mIiIjIcLDDTkRkhMp72ycRERERGR922ImIjFR5bvt80OzZszF79mztF0VEREREWsNp3YiIiIiIiIgMEDvsRERERERERAaIHXYiIiIiIiIiA8QOOxEREREREZEBYoediIiIiIiIyACxw05ERERERERkgPTeYQ8LC4ODgwMsLS3h5uaG+Pj4Utvu378fHh4eaNCgAWrWrAknJycsXbq0EqslIiIiIiIiqhx6nYc9KioKkydPRlhYGDw8PLB69Wr07dsXycnJaN68uUb72rVrY/z48XjqqadQu3Zt7N+/H2PGjEHt2rUxevRoPZwBERERERERkW7o9Qr7kiVL4O/vj1GjRqFdu3YIDQ2FnZ0dwsPDS2zv4uKCoUOHokOHDmjRogVef/119OnT56FX5YmIiIiIiIiMkd467Lm5uUhISICPj4/aeh8fHxw8eLBMx0hMTMTBgwfh5eVVapucnBxkZWWpvYiIiIiIiIgMnd467BkZGcjPz4eNjY3aehsbG6Snpz9032bNmsHCwgLu7u4YN24cRo0aVWrbkJAQWFtbKy87Ozut1E9ERERERESkS3ofdE6lUqkti4jGugfFx8fj6NGjWLVqFUJDQxEZGVlq2+DgYNy8eVN5Xbx4USt1ExEREREREemS3gada9iwIUxNTTWupl+9elXjqvuDHBwcAAAdO3bElStXMHv2bAwdOrTEthYWFrCwsNBO0URERERERESVRG9X2M3NzeHm5oa4uDi19XFxcejRo0eZjyMiyMnJ0XZ5RERERERERHql12ndgoKCMHz4cLi7u6N79+5Ys2YNUlNTERAQAKDwdvZLly5h8+bNAICVK1eiefPmcHJyAlA4L/vixYsxYcIEvZ0DERERERERkS7otcPu6+uLzMxMzJ07F2lpaXB2dsbOnTthb28PAEhLS0NqaqrSvqCgAMHBwTh//jzMzMzQqlUrfPjhhxgzZoy+ToGIiIiIiIhIJ/Q+6FxgYCAuXLiAnJwcJCQkoGfPnsq2iIgI7N27V1meMGEC/vjjD9y+fRs3b97EsWPHMHbsWJiY6P00iIiIiMgAhIWFwcHBAZaWlnBzc0N8fHypbbdt2wZvb280atQIVlZW6N69O2JiYtTaREREQKVSabzu3bun61MhItJ/h52IiIiISBuioqIwefJkzJgxA4mJifD09ETfvn3V7tgsbt++ffD29sbOnTuRkJCAZ599Fv3790diYqJaOysrK6Slpam9LC0tK+OUiKia0+st8URERERE2rJkyRL4+/tj1KhRAIDQ0FDExMQgPDwcISEhGu1DQ0PVlhcuXIjo6Gjs2LEDLi4uynqVSoUmTZrotHYiopLwCjsRUSX7+++/8euvv+K3337D33//re9yiIiqhNzcXCQkJMDHx0dtvY+PDw4ePFimYxQUFODWrVuoX7++2vrs7GzY29ujWbNmePHFFzWuwD8oJycHWVlZai8ioopgh52IqJIsXboUdnZ2aNmyJbp3745u3bqhZcuWsLOz07jKQ0RE5ZORkYH8/HzY2NiorbexsUF6enqZjvHJJ5/g9u3bGDJkiLLOyckJERER+O677xAZGQlLS0t4eHjgzz//LPU4ISEhsLa2Vl52dnYVOykiqvZ4SzwRUSWYN28eFi9ejOnTp6NPnz6wsbGBiODq1auIiYnB7NmzkZ2djZkzZ+q7VCIio6ZSqdSWRURjXUkiIyMxe/ZsREdHo3Hjxsr6bt26oVu3bsqyh4cHXF1dsWLFCixfvrzEYwUHByMoKEhZzsrKYqediCqEHXYiokqwZs0abNq0CQMHDlRb37RpU3Tq1Alt27bF+PHj2WEnIqqghg0bwtTUVONq+tWrVzWuuj8oKioK/v7+2LJlC5577rmHtjUxMUHnzp0feoXdwsICFhYWZS+eiKgUvCWeiKgSZGZmwtHRsdTtbdu2xb///luJFRERVS3m5uZwc3NDXFyc2vq4uDj06NGj1P0iIyMxcuRIfPnll3jhhRce+T4igqSkJNja2j52zUREj6K1Dvu1a9dw//59bR2OiKhK6dKlCxYsWIC8vDyNbXl5eVi4cCG6dOmih8qIiKqOoKAgrFu3Dhs2bEBKSgqmTJmC1NRUBAQEACi8Vd3Pz09pHxkZCT8/P3zyySfo1q0b0tPTkZ6ejps3bypt5syZg5iYGJw7dw5JSUnw9/dHUlKSckwiIl0q9y3xa9aswYgRI2BhYQERQUhICD7++GNkZWXB0tISY8aMweLFi2Fiwov3RERFVqxYAR8fHzRu3BheXl6wsbGBSqVCeno69u3bBwsLC42rQkREVD6+vr7IzMzE3LlzkZaWBmdnZ+zcuRP29vYAgLS0NLU52VevXo28vDyMGzcO48aNU9aPGDECERERAIAbN25g9OjRSE9Ph7W1NVxcXLBv3z5+yEpElaLcHfaxY8di4MCBaNy4MdasWYOFCxdi7ty56NatG44dO4aZM2eiZcuWGD9+vC7qJSIySh07dsSZM2fw+eef4/Dhwzh//jwAoEmTJliwYAGGDRsGKysrPVdJRGT8AgMDERgYWOK2ok54kb179z7yeEuXLsXSpUu1UBkRUfmVu8MuIsr/r1+/HvPmzcOUKVMAAD169IClpSVWrFjBDjsR0QPq1q2LsWPHYuzYsfouhYiIiIiMQIXuWy+aGuP8+fPo3bu32rZevXrh3Llzj18ZEVE1cv/+fbXbNImIiIiIKjSt265du2BtbY2aNWvi7t27atvu3r3L59eJiMopOTkZrq6uyM/P13cpRERERGQgKtRhHzFihPL/e/bsQdeuXZXlQ4cOoVWrVo9fGREREREREVE1Vu4Oe0FBwUO3N2nSBCEhIRUuiIioKnJ1dX3o9gfvViIiIiIiqtAV9od58cUXtX1IIiKjl5ycjFdffRUODg4lbk9LS8OZM2cquSoiIiIiMmSP1WH/559/sHPnTvz7779o1aoVXnrpJZibm2urNiKiKsPZ2Rldu3YtdYT4pKQkrF27tlzHDAsLw8cff4y0tDR06NABoaGh8PT0LLHt/v378d577+HUqVO4c+cO7O3tMWbMGGWWDyIiIiIyPBUeHS44OBidO3fG/v37cf36daxbtw4dO3bkKMdERCX4z3/+g9OnT5e6vW7duujZs2eZjxcVFYXJkydjxowZSExMhKenJ/r27VtqBteuXRvjx4/Hvn37kJKSgpkzZ2LmzJlYs2ZNuc+FiIiIiCpHha6wjxo1CpcvX0ZycjKeeOIJZX1YWBgCAgKwc+dO/PTTT+jVq5fWCiUiMmahoaEP3d6qVSv8/PPPZT7ekiVL4O/vj1GjRinHj4mJQXh4eInjiLi4uMDFxUVZbtGiBbZt24b4+HiMHj26zO9LRERERJWn3B32PXv2YPfu3UhOTsby5cuRm5urbLt//z52796NO3fuYMaMGZg4cSKGDh2q1YKJiKq73NxcJCQkYNq0aWrrfXx8cPDgwTIdIzExEQcPHsT8+fNLbZOTk4OcnBxlOSsrq2IFExEREVGFlLvDvmbNGkycOBG1atVCRkYGli9fDi8vL9SpUwcxMTHw9fVFXl4eZs6ciQ8++IAddiKiBzzu+B8ZGRnIz8+HjY2N2nobGxukp6c/dN9mzZrh2rVryMvLw+zZs5Ur9CUJCQnBnDlzylwXEREREWlXuZ9hP3r0qDKoUVpaGj766CPExcVh+/btiI2NxfHjx2FlZYXevXsjKSkJ2dnZWi+aiMhYaXP8D5VKpbYsIhrrHhQfH4+jR49i1apVCA0NRWRk5ENrvXnzpvK6ePFiuWskIiIiooor9xX2rKwsWFpaAii8Pb74LZkeHh44deoU0tLSYGtrCzMzM9y4cQN16tTRXsVEREZKW+N/NGzYEKamphpX069evapx1f1BRdPKdezYEVeuXMHs2bNLvRPKwsICFhYWZTk1IiIiItKBcnfYmzVrhvPnz6Njx45wcHDA119/jY4dOwIAtm/fDgsLC9jY2ODq1asoKChAo0aNtF40EZGx0eb4H+bm5nBzc0NcXBwGDRqkrI+Li8OAAQPKXJOIqD2jTkRERESGpdwd9ueffx5RUVF46aWXsGTJEgwYMABbtmxBrVq1cObMGaxevRomJibYvn07unXrxqszRETQ/vgfQUFBGD58ONzd3dG9e3esWbMGqampCAgIAFB4O/ulS5ewefNmAMDKlSvRvHlzODk5ASicl33x4sWYMGGCbk+ciIiIiCqs3B328ePHo0OHDjhy5Ai6d++Os2fP4sCBA8jNzUWXLl1ga2uLjIwMzJs3j/P7EhH9v6NHj+Kdd94B8L/xPyZPngygsPMcGBiojP8xYMAAZGdnP/RxIl9fX2RmZmLu3LlIS0uDs7Mzdu7cCXt7e+U9ij8XX1BQgODgYJw/fx5mZmZo1aoVPvzwQ4wZM0Z3J01EREREj6XcHfYnn3wSYWFhGDBgADZt2gRvb2/07dtX2X769GkMGTIEgwYNQr9+/bRaLBGRsdLF+B+BgYEIDAwscVtERITa8oQJE3g1nYiIiMjIlLvDDgDDhg1DvXr1MHr0aDRq1Ag9evSApaUljh8/jiNHjmDatGnKlSQiIuL4H0RERERUfuWe1q1Iv3798OeffyIkJAT29vZo0KABRo8ejfPnz7OzTkT0gKLxPwBgyZIlWL16NZycnODq6go/Pz+sWrWK438QEWlBWFgYHBwcYGlpCTc3N8THx5fadtu2bfD29kajRo1gZWWF7t27IyYmRqPd1q1b0b59e1hYWKB9+/bYvn27Lk+BiEhRoSvsys5mZujduzd69+6trXqIiKokjv9BRFR+27Ztw+zZs/H777+XqX1UVBQmT56MsLAweHh4YPXq1ejbty+Sk5PRvHlzjfb79u2Dt7c3Fi5ciHr16mHjxo3o378/fv31V7i4uAAADh06BF9fX8ybNw+DBg3C9u3bMWTIEOzfvx9du3bV6vkSET2o3B32goICnDx5UrmVc9WqVWrTE5mammLs2LEwManwxXsioiqH438QEZVs7dq1iI2NRY0aNTBp0iR07doVP/30E95++22cPn0aw4cPL/OxlixZAn9/f4waNQoAEBoaipiYGISHhyMkJESjfWhoqNrywoULER0djR07digd9tDQUHh7eyM4OBhA4Swcv/zyC0JDQxEZGVnBsyYiKptyd9i/+uorrF69Gr/88gsAYOrUqahXrx7MzAoPlZGRAUtLS/j7+2u3UiIiI8fxP4iI1C1evBjTp0/HU089hZSUFERHR2PGjBlYsmQJJkyYgHHjxqFhw4ZlOlZubi4SEhLUBvUEAB8fHxw8eLBMxygoKMCtW7dQv359Zd2hQ4cwZcoUtXZ9+vTR6OwXl5OTg5ycHGU5KyurTO9PRPSgcnfYN27cqMzzW+SXX35By5YtARRecf/888/ZYSciKkHR+B+//PILfv/9d+Tl5WH06NH4+uuvUbduXX2XR0RUqdavX49Vq1bhzTffxN69e9GrVy/89NNPOHv2LOrVq1euY2VkZCA/Px82NjZq621sbJCenl6mY3zyySe4ffs2hgwZoqxLT08v9zFDQkIwZ86cclRPRFSycnfYU1JS0L59+1K3e3l5Yfr06Y9VFBFRVcbxP4iICv3999947rnnAADPPPMMatSogQULFpS7s16cSqVSWxYRjXUliYyMxOzZsxEdHY3GjRs/1jGDg4MRFBSkLGdlZcHOzq4s5RMRqSl3hz0jI0NtbuBz586hQYMGynKNGjVw+/Zt7VRHRFRFcPwPIiJN9+7dg6WlpbJsbm5e4WktGzZsCFNTU40r31evXtW4Qv6gqKgo+Pv7Y8uWLcoHCEWaNGlS7mNaWFhwtg8i0opyd9htbGxw+vRptGrVCgA0QjUlJQVNmjTRTnVERFUEx/8gIirZunXrlItBeXl5iIiI0HhufeLEiY88jrm5Odzc3BAXF4dBgwYp6+Pi4jBgwIBS94uMjMSbb76JyMhIvPDCCxrbu3fvjri4OLXn2GNjY9GjR49H1kRE9LjK3WHv3bs3FixYUOIoxiKCkJAQ3uZJRPQAjv9BRKSpefPmWLt2rbLcpEkTfPbZZ2ptVCpVmTrsABAUFIThw4fD3d0d3bt3x5o1a5Camqrkb3BwMC5duoTNmzcDKOys+/n5YdmyZejWrZtyJb1mzZqwtrYGAEyaNAk9e/bEokWLMGDAAERHR2P37t3Yv3//Y58/EdGjlLvDPmPGDLi6uqJr165455130LZtW6hUKpw6dQqLFy/G6dOnlRAkIqJCHP+DiEjThQsXHtnm0qVLZT6er68vMjMzMXfuXKSlpcHZ2Rk7d+6Evb09ACAtLQ2pqalK+9WrVyMvLw/jxo3DuHHjlPUjRoxAREQEAKBHjx746quvMHPmTMyaNQutWrVCVFQU52AnokpR7g57q1atEBcXh5EjR8LX11cZcENE4OTkhNjYWLRu3VrrhRIRGTOO/0FEVD7p6elYuHAh1q5di7t375Z5v8DAQAQGBpa4ragTXmTv3r1lOubgwYMxePDgMtdARKQtFRrdqEuXLkhOTsaxY8cQGRmJyMhIJCQkIDk5mZ82EhGVoGj8jyKNGjVSG2CO438QUXV048YNvPbaa2jUqBGaNm2K5cuXo6CgAO+//z5atmyJQ4cOYcOGDfouk4hIb8p9hR0onJqiTp066NSpEzp16qSsLygoQHZ2NqysrLRVHxFRlcDxP4iINE2fPh379u3DiBEjsGvXLkyZMgW7du3CvXv38OOPP8LLy0vfJRIR6VW5r7Bv374d7u7uuHfvnsa2e/fuoXPnztixY4dWiiMiqipmzJiBP/74A127dsWWLVtw/Phx/P777/j666/RtWtXnDx5ks+wE1G188MPP2Djxo1YvHgxvvvuO4gI2rZti59++omddSIiVKDDHh4ejnfffRe1atXS2FarVi289957+PTTT8t8vLCwMDg4OMDS0hJubm6Ij48vte22bdvg7e2NRo0awcrKCt27d0dMTEx5T4GIqNIVjf9x69Yt+Pr6wtXVFS4uLnj11VeRnZ3N8T+IqFq6fPmyMiBny5YtYWlpiVGjRum5KiIiw1HuDvsff/yBZ555ptTtPXv2xIkTJ8p0rKioKEyePBkzZsxAYmIiPD090bdvX7XRO4vbt28fvL29sXPnTiQkJODZZ59F//79kZiYWN7TICKqdBz/g4hIXUFBAWrUqKEsm5qaonbt2nqsiIjIsJT7GfZ///0XeXl5pW6/f/8+/v333zIda8mSJfD391c+SQ0NDUVMTAzCw8MREhKi0T40NFRteeHChYiOjsaOHTvg4uJS4nvk5OQgJydHWc7KyipTbURE2sbxP4iI1IkIRo4cCQsLCwCFj1cGBARodNq3bdumj/KIiPSu3FfYW7RogaNHj5a6/ejRo8pclw+Tm5uLhIQE+Pj4qK338fHBwYMHy1RLQUEBbt26hfr165faJiQkBNbW1srLzs6uTMcmItImjv9BRKRpxIgRaNy4sfJ32uuvv46mTZuq/e1mbW2t7zKJiPSm3FfYX375ZcyYMQPe3t6wsbFR25aeno6ZM2fi9ddff+RxMjIykJ+fr3EMGxsbpKenl6mWTz75BLdv38aQIUNKbRMcHIygoCBlOSsri512Iqp0ZR3/o3///nqojohIPzZu3KjvEoiIDFq5O+zTpk1DdHQ02rRpg9dffx2Ojo5QqVRISUnBF198ATs7O0ybNq3Mx1OpVGrLIqKxriSRkZGYPXs2oqOj0bhx41LbWVhYKLdZERHpyx9//IGwsLBSt/fs2RMzZ86sxIqIiIiIyNCVu8Net25dHDhwAMHBwYiKilKeV3/iiSfw+uuvY+HChahbt+4jj9OwYUOYmppqXE2/evWqxlX3B0VFRcHf3x9btmzBc889V95TICKqdNoc/4OIiIiIqodyP8MOANbW1ggLC0NGRgauXLmC9PR0ZGRkICwsDPXq1SvTMczNzeHm5oa4uDi19XFxcejRo0ep+0VGRmLkyJH48ssv8cILL1SkfCKiSqet8T+IiIiIqPqoUIe9SGZmJv7++29cvHgR169fL/f+QUFBWLduHTZs2ICUlBRMmTIFqampCAgIAFD4/Lmfn5/SPjIyEn5+fvjkk0/QrVs3pKenIz09HTdv3nyc0yAi0rmi8T+uXLmisa1o/I9XXnlFD5URERERkaEq9y3xAHDy5EmMHTsWBw4cUFvv5eWF8PBwODo6luk4vr6+yMzMxNy5c5GWlgZnZ2fs3LlTucqUlpamNif76tWrkZeXh3HjxmHcuHHK+hEjRiAiIqIip0JEVCm0Pf4HEREREVV95e6wp6enw8vLC40aNcKSJUvg5OQEEUFycjLWrl0LT09P/PHHHw8dCK64wMBABAYGlrjtwU743r17y1suEZFB0Nb4H0RERERUfZS7w7506VLY29vjwIEDsLS0VNY///zzGDt2LP7zn/9g6dKlCAkJ0WqhRETGrmj8j5UrVyIjIwMigkaNGpVpZgwiIiIiqn7K/Qx7XFwc3nvvPbXOepGaNWti6tSpiImJ0UpxRERV0eOO/0FERERE1UO5O+znzp2Dq6trqdvd3d1x7ty5xyqKiKgqOnnyJHr27AkbGxt07doVXbp0QePGjdGrVy+cPn1a3+URERERkYEp9y3xt27dgpWVVanb69ati+zs7McqioioqtH2+B9EREREVPVVaJT4W7dulXhLPABkZWVBRB6rKCKiqobjfxARERFReZX7lngRQdu2bfHEE0+U+CrrlG5ERNUJx/8gIqocYWFhcHBwgKWlJdzc3BAfH19q27S0NAwbNgyOjo4wMTHB5MmTNdpERERApVJpvO7du6fDsyAiKlTuK+w///yzLuogIqrSdDH+R1hYGD7++GOkpaWhQ4cOCA0NhaenZ4ltt23bhvDwcCQlJSEnJwcdOnTA7Nmz0adPn3K9JxGRIYuKisLkyZMRFhYGDw8PrF69Gn379kVycjKaN2+u0T4nJweNGjXCjBkzsHTp0lKPa2VlpTHWSGl3mxIRaVO5O+xeXl66qIOIqErT9vgf5f2jdN++ffD29sbChQtRr149bNy4Ef3798evv/4KFxeXCp0TEZGhWbJkCfz9/TFq1CgAQGhoKGJiYhAeHl7iI0ctWrTAsmXLAAAbNmwo9bgqlQpNmjTRTdFERA9R7g67iYnJI+cMVqlUyMvLq3BRRERVkTbH/yjvH6WhoaFqywsXLkR0dDR27NjBDjsRVQm5ublISEjAtGnT1Nb7+Pjg4MGDj3Xs7Oxs2NvbIz8/H506dcK8efMemp05OTnIyclRlrOysh7r/Ymo+ip3h3379u2lbjt48CBWrFjBQeeIiB5QNP7Hw7Y/6sPQItr4o7SgoAC3bt1C/fr1S23DPziJyJhkZGQgPz8fNjY2auttbGyQnp5e4eM6OTkhIiICHTt2RFZWFpYtWwYPDw8cP34cbdq0KXGfkJAQzJkzp8LvSURUpNwd9gEDBmisO3XqFIKDg7Fjxw689tprmDdvnlaKIyKqKrQ5/oc2/ij95JNPcPv2bQwZMqTUNvyDk4iM0YMffpbnA9GSdOvWDd26dVOWPTw84OrqihUrVmD58uUl7hMcHIygoCBlOSsrC3Z2dhWugYiqrwpN61bk8uXL+OCDD7Bp0yb06dMHSUlJcHZ21lZtRERVhi7G/6joH6WRkZGYPXs2oqOjHzrvO//gJCJj0rBhQ5iammp8cHn16lWNDzgfh4mJCTp37ow///yz1DYWFhawsLDQ2nsSUfVV7mndAODmzZt477330Lp1a5w8eRJ79uzBjh072FknIiqFiYkJTE1NH/oyMyvbZ6iP80dpVFQU/P398fXXX+O55557aFsLCwtYWVmpvYiIDJW5uTnc3NwQFxentj4uLg49evTQ2vuICJKSkmBra6u1YxIRlabcV9g/+ugjLFq0CE2aNEFkZGSJt8gTEZE6bY7/UfyP0kGDBinr4+LiHprJkZGRePPNNxEZGYkXXnih7MUTERmJoKAgDB8+HO7u7ujevTvWrFmD1NRUBAQEACi8c+jSpUvYvHmzsk9SUhKAwoHlrl27hqSkJJibm6N9+/YAgDlz5qBbt25o06YNsrKysHz5ciQlJWHlypWVfn5EVP2Uu8M+bdo01KxZE61bt8amTZuwadOmEttt27btsYsjIqoqtD3+R3n/KI2MjISfnx+WLVuGbt26KVfna9asCWtray2cIRGR/vn6+iIzMxNz585FWloanJ2dsXPnTtjb2wMA0tLSkJqaqrZP8dHeExIS8OWXX8Le3h4XLlwAANy4cQOjR49Geno6rK2t4eLign379qFLly6Vdl5EVH2Vu8Pu5+f3WAN3EBFVd9oY/6O8f5SuXr0aeXl5GDduHMaNG6esHzFiBCIiIrRyXkREhiAwMBCBgYElbisp7x51d9PSpUuxdOlSbZRGRFRu5e6w8w87IqKKuXnzJhYuXIgVK1agU6dO2LNnDzw9PSt8vPL8Ubp3794Kvw8RERER6cdjjRJPRERlw/E/iIiIiKi82GEnIqoEHP+DiIiIiMqLHXYiokrA8T+IiIiIqLzYYSciqgQc/4OIiIiIystE3wUQERERERERkSZ22ImIiIiIiIgMEDvsRERERERERAaIHXYiIiIiIiIiA8QOOxEREREREZEBYoediIiIiIiIyACxw05ERERERERkgNhhJyIiIiIiIjJA7LATERERERERGSB22ImIiIiIiIgMEDvsRERERERERAaIHXYiIiIiIiIiA8QOOxEREREREZEBYoediIiIiKqMsLAwODg4wNLSEm5uboiPjy+1bVpaGoYNGwZHR0eYmJhg8uTJJbbbunUr2rdvDwsLC7Rv3x7bt2/XUfVEROrYYSciIiKiKiEqKgqTJ0/GjBkzkJiYCE9PT/Tt2xepqaklts/JyUGjRo0wY8YMPP300yW2OXToEHx9fTF8+HAcP34cw4cPx5AhQ/Drr7/q8lSIiACww05EREREVcSSJUvg7++PUaNGoV27dggNDYWdnR3Cw8NLbN+iRQssW7YMfn5+sLa2LrFNaGgovL29ERwcDCcnJwQHB6N3794IDQ3V4ZkQERVih52IiIiIjF5ubi4SEhLg4+Ojtt7HxwcHDx6s8HEPHTqkccw+ffo89Jg5OTnIyspSexERVQQ77ERERERk9DIyMpCfnw8bGxu19TY2NkhPT6/wcdPT08t9zJCQEFhbWysvOzu7Cr8/EVVv7LATERERUZWhUqnUlkVEY52ujxkcHIybN28qr4sXLz7W+xNR9WWm7wKIiIiIiB5Xw4YNYWpqqnHl++rVqxpXyMujSZMm5T6mhYUFLCwsKvyeRERF9H6FXRdTbxARERFR9WJubg43NzfExcWprY+Li0OPHj0qfNzu3btrHDM2NvaxjklEVFZ67bDrYuoNIiIiIqqegoKCsG7dOmzYsAEpKSmYMmUKUlNTERAQAKDwVnU/Pz+1fZKSkpCUlITs7Gxcu3YNSUlJSE5OVrZPmjQJsbGxWLRoEU6dOoVFixZh9+7dvHBERJVCr7fEF596AyicNiMmJgbh4eEICQnRaF809QYAbNiwoVJrJSIiIiLD5uvri8zMTMydOxdpaWlwdnbGzp07YW9vD6Dwbs0HLwy5uLgo/5+QkIAvv/wS9vb2uHDhAgCgR48e+OqrrzBz5kzMmjULrVq1QlRUFLp27Vpp50VE1ZfeOuxFU29MmzZNbf3jTr3xoJycHOTk5CjLnFaDiIiIqOoKDAxEYGBgidsiIiI01onII485ePBgDB48+HFLIyIqN73dEq+rqTcexGk1iIiIiIiIyBjpfdA5XUy9URyn1SAiIiIiIiJjpLdb4nU19caDOK0GERERERERGSO9XWHX1dQbRERERERERFWBXkeJDwoKwvDhw+Hu7o7u3btjzZo1GlNvXLp0CZs3b1b2SUpKAgC1qTfMzc3Rvn17fZwCERERERERkU7o9Rl2X19fhIaGYu7cuejUqRP27dtXpqk3XFxclGk3XFxc0K9fP32UT0SkV2FhYXBwcIClpSXc3NwQHx9fatu0tDQMGzYMjo6OMDEx4fzBREREREZAr1fYAd1MvUFEVNVFRUVh8uTJCAsLg4eHB1avXo2+ffsiOTkZzZs312ifk5ODRo0aYcaMGVi6dKkeKiYiIiKi8tL7KPFERFR+S5Ysgb+/P0aNGoV27dohNDQUdnZ2CA8PL7F9ixYtsGzZMvj5+cHa2rqSqyUiIiKiimCHnYjIyOTm5iIhIQE+Pj5q6318fHDw4EGtvU9OTg6ysrLUXkRERERUedhhJyIyMhkZGcjPz9eYAtPGxkZjqszHERISAmtra+VlZ2entWMTERER0aOxw05EZKRUKpXasohorHscwcHBuHnzpvK6ePGi1o5NRERERI+m90HniIiofBo2bAhTU1ONq+lXr17VuOr+OCwsLGBhYaG14xERERFR+fAKOxGRkTE3N4ebmxvi4uLU1sfFxaFHjx56qoqIiIiItI1X2ImIjFBQUBCGDx8Od3d3dO/eHWvWrEFqaioCAgIAFN7OfunSJWzevFnZJykpCQCQnZ2Na9euISkpCebm5mjfvr0+ToGIiIiIHoEddiIiI+Tr64vMzEzMnTsXaWlpcHZ2xs6dO2Fvbw8ASEtLQ2pqqto+Li4uyv8nJCTgyy+/hL29PS5cuFCZpRMRERFRGbHDTkRkpAIDAxEYGFjitoiICI11IqLjioiIiIhIm/gMOxEREREREZEBYoediIiIiIiIyACxw05ERERERERkgNhhJyIiIqIqIywsDA4ODrC0tISbmxvi4+Mf2v6XX36Bm5sbLC0t0bJlS6xatUpte0REBFQqlcbr3r17ujwNIiIA7LATERERURURFRWFyZMnY8aMGUhMTISnpyf69u2rMWtGkfPnz6Nfv37w9PREYmIipk+fjokTJ2Lr1q1q7aysrJCWlqb2srS0rIxTIqJqjqPEExEREVGVsGTJEvj7+2PUqFEAgNDQUMTExCA8PBwhISEa7VetWoXmzZsjNDQUANCuXTscPXoUixcvxiuvvKK0U6lUaNKkSaWcAxFRcbzCTkRERERGLzc3FwkJCfDx8VFb7+Pjg4MHD5a4z6FDhzTa9+nTB0ePHsX9+/eVddnZ2bC3t0ezZs3w4osvIjEx8aG15OTkICsrS+1FRFQR7LATERERkdHLyMhAfn4+bGxs1Nbb2NggPT29xH3S09NLbJ+Xl4eMjAwAgJOTEyIiIvDdd98hMjISlpaW8PDwwJ9//llqLSEhIbC2tlZednZ2j3l2RFRdscNORERERFWGSqVSWxYRjXWPal98fbdu3fD666/j6aefhqenJ77++mu0bdsWK1asKPWYwcHBuHnzpvK6ePFiRU+HiKo5PsNOREREREavYcOGMDU11biafvXqVY2r6EWaNGlSYnszMzM0aNCgxH1MTEzQuXPnh15ht7CwgIWFRTnPgIhIE6+wExEREZHRMzc3h5ubG+Li4tTWx8XFoUePHiXu0717d432sbGxcHd3R40aNUrcR0SQlJQEW1tb7RRORPQQ7LATERERUZUQFBSEdevWYcOGDUhJScGUKVOQmpqKgIAAAIW3qvv5+SntAwIC8PfffyMoKAgpKSnYsGED1q9fj3feeUdpM2fOHMTExODcuXNISkqCv78/kpKSlGMSEekSb4knIiIioirB19cXmZmZmDt3LtLS0uDs7IydO3fC3t4eAJCWlqY2J7uDgwN27tyJKVOmYOXKlWjatCmWL1+uNqXbjRs3MHr0aKSnp8Pa2houLi7Yt28funTpUunnR0TVDzvsRERERFRlBAYGIjAwsMRtERERGuu8vLxw7NixUo+3dOlSLF26VFvlERGVC2+JJyIiIiIiIjJA7LATERERERERGSB22ImIiIiIiIgMEDvsRERERERERAaIHXYiIiIiIiIiA8QOOxEREREREZEBYoediIiIiIiIyACxw05ERERERERkgNhhJyIiIiIiIjJA7LATERERERERGSB22ImIiIiIiIgMEDvsRERERERERAaIHXYiIiIiIiIiA8QOOxEREREREZEBYoediIiIiIiIyACxw05ERERERERkgNhhJyIiIiIiIjJA7LATERERERERGSC9d9jDwsLg4OAAS0tLuLm5IT4+/qHtf/nlF7i5ucHS0hItW7bEqlWrKqlSIiLDwvwkItKki2zcunUr2rdvDwsLC7Rv3x7bt2/XVflERGr02mGPiorC5MmTMWPGDCQmJsLT0xN9+/ZFampqie3Pnz+Pfv36wdPTE4mJiZg+fTomTpyIrVu3VnLlRET6xfwkItKki2w8dOgQfH19MXz4cBw/fhzDhw/HkCFD8Ouvv1bWaRFRNabXDvuSJUvg7++PUaNGoV27dggNDYWdnR3Cw8NLbL9q1So0b94coaGhaNeuHUaNGoU333wTixcvruTKiYj0i/lJRKRJF9kYGhoKb29vBAcHw8nJCcHBwejduzdCQ0Mr6ayIqDoz09cb5+bmIiEhAdOmTVNb7+Pjg4MHD5a4z6FDh+Dj46O2rk+fPli/fj3u37+PGjVqaOyTk5ODnJwcZfnmzZsAgKysLLV2+Tl3K3Qe2vZgXSVhreXHWnXDmGstWhYRfZTzWJifJTPmn8eSsNbyY626YSz5qatsPHToEKZMmaLR5mEd9rLkp6F8f4FH/zyy1oox5t/zkrDW8itea4WzU/Tk0qVLAkAOHDigtn7BggXStm3bEvdp06aNLFiwQG3dgQMHBIBcvny5xH0++OADAcAXX3zxVeLr4sWL2gm1SsT85IsvvgzhZWj5qatsrFGjhnzxxRdqbb744gsxNzcvtRbmJ1988VXaq7zZqbcr7EVUKpXasohorHtU+5LWFwkODkZQUJCyXFBQgOvXr6NBgwYPfZ/yysrKgp2dHS5evAgrKyutHVcXWKtusFbd0FWtIoJbt26hadOmWjtmZWN+Vj7WqhusVTeqa37qIhvLe0zmpybWqhusVTd0UWtFs1NvHfaGDRvC1NQU6enpauuvXr0KGxubEvdp0qRJie3NzMzQoEGDEvexsLCAhYWF2rp69epVvPBHsLKyMvgfwCKsVTdYq27oolZra2utHq+yMD/1j7XqBmvVjeqSn7rKxtLalHZMgPn5MKxVN1irbmi71opkp94GnTM3N4ebmxvi4uLU1sfFxaFHjx4l7tO9e3eN9rGxsXB3dy/x+UsioqqI+UlEpElX2Vham9KOSUSkTXodJT4oKAjr1q3Dhg0bkJKSgilTpiA1NRUBAQEACm8n8vPzU9oHBATg77//RlBQEFJSUrBhwwasX78e77zzjr5OgYhIL5ifRESadJGNkyZNQmxsLBYtWoRTp05h0aJF2L17NyZPnlzZp0dE1VG5nnjXgZUrV4q9vb2Ym5uLq6ur/PLLL8q2ESNGiJeXl1r7vXv3iouLi5ibm0uLFi0kPDy8kisu2b179+SDDz6Qe/fu6buUR2KtusFadcOYaq1szM/Kx1p1g7XqhjHVqk26yMYtW7aIo6Oj1KhRQ5ycnGTr1q26Po0yMabvMWvVDdaqG4ZUq0rEwObkICIiIiIiIiL93hJPRERERERERCVjh52IiIiIiIjIALHDTkRERERERGSA2GEnIiIiIiIiMkDssBMZmIKCAn2XQERklJifREQVw/w0XOywExmIt99+GwBgYmLcv5Z5eXn6LoGIqpmqkJ/MTiLSB+an4TPe7wxRFbJ//36cOXNGLXCM8ZPON954A3v37tV3GYqiWSs5eyVR1VUV8tPQshNgfhJVB8xP3dB2frLDrgeG/o/f1atX9V1CqYqHyO3bt/VYiXa5u7sjOjoaZmZmiIyMBFD4Sacxheb9+/dhaWkJLy8vAP/7Xunz512lUmHXrl3YsWOH3msh7TD07yHzs/IZe34aYnYCzM+qxhi+f8zPysf81A1t5yc77JXk0KFD2Lx5M4DCb6Kh2rp1K/r27YsLFy7ou5QSFd2uExQUhNDQUGRnZ+u5osfj6+uLHTt2wNLSEiYmJjhz5gzGjx8PHx8fAMYTmhcuXECNGjUQHh6OGjVqYN26dYiMjERubi5UKpVegzM0NBTffvstAP0HOFUM81M7mJ+Gx5CzE2B+GjtjyU6A+VnZmJ+6p838ZIe9EmzduhUDBw7EiRMnkJKSoqzX9w/Sg/7++2+EhYUhICAA9vb2+i5HTfGvVUJCAr766iv06tULderU0WNVj+f27dsQEfj6+mLPnj0AgGbNmmH9+vW4ePEi+vXrB8DwQ/Odd97B1KlTkZycDADIz8/HunXrsGjRIuzYsUPvwdmyZUtcv34dgHE/n1VdMT8fH/PTMPPT0LMTYH4aM2PJToD5WdmYn5VDq/kppFM///yz1K5dW9asWaPvUh7qyJEjMmnSJBkwYIBkZmZKXl6evksq0SeffCLz58+XGTNm6LsUrbh+/boEBASIubm57Nq1S0RE7t69K9HR0dKmTRt5/vnnlbb5+fn6KvOhli9fLm5ubjJ69Gg5ceKEiIjcu3dP+vXrJy4uLrJlyxbJyckREZGCgoJKqSk9PV3S09NFRCQqKkq6du0qt2/fVvsaGurPOP0P81O7mJ+GxRCzU4T5WRUYS3aKMD/1hfmpG7rKT3bYdaSgoEAKCgokKChI3njjDRER+ffff2Xv3r0yZswYefXVV+WPP/5Q2urb1KlT5YknnhBbW1vlB83QfkFv374tL730kqhUKhk8eLCIGMbX7nFdv35dxowZoxaad+7cUUKzb9++SltDOt/itWzYsEFcXV3lrbfekqSkJBERycnJkT59+lR6cB45ckRsbGzExsZGBg4cKB06dJDmzZvLzz//LCdPntTpe5N2MD+1j/lpOOdrqNkpwvw0dsaWnSLMT31ifmqXLvOTHXYdmzVrljRv3lx2794t//3vf6VPnz7i7e0tXbt2FUdHR4P6JHH+/PnStGlTmTBhgly5ckVE9PsLWtJ7p6amypgxY6RmzZqyd+9eETG8YH+UovMqfn7Xrl0rMTS/++47cXJyEnd3d73U+ijFv/br168vNTjd3Nzkm2++UYJTl+7fvy+7d++Wb775RubNmyevvfaaqFQqcXR0FFtbW3FxcREXFxcJDQ01qN8/0sT8rDjmp2HnpyFmpwjzs6owpuwUYX5WFuanbukyP9lh14Hi34TDhw/LoEGDpFatWvLaa6/Jjz/+KCIi+/fvFxcXF0lLS9NXmXLu3Dm5ePGiXLp0SVk3bdo0cXV1lVmzZsm1a9dERD+h+WAIFv9lu3z5svj6+krdunXlt99+ExHD+eTvUYqf1/379+Xu3bvKckZGhowePVrj9qSoqCjx9fU1qH8YSvt6r127tsTg7Nu3rzRr1kx++umnyixT0bVrV5kzZ44kJibK+vXrZcqUKZKcnKyXWujhmJ+Pj/lpuPlpbNkpwvw0FsaSnSLMT31gfuqHtvKTHXYti4uLk/Hjx0twcLDa7Q+nTp1SazdlyhTx8PCQrKysyi5RRES2bt0qzZs3l6ZNm0r//v0lMjJS2fbuu++Kq6urfPDBB8onnZWpeDB8+umn4uvrK/369ZMVK1Yo669cuSJDhgwRa2trOXLkiIgYfmgWP69ly5bJgAEDpHfv3jJnzhxl/fXr12X06NFiYWEhMTExIqL+j4UhhGbxGi5duiTnzp1TC/7Vq1drBOe9e/dkypQpWv9Uv+h7fvz4cdmyZYtER0fL+fPnle137tyRe/fuSefOneWjjz7S6nuT9jE/Hx/z03Dz05CyU4T5WZUYS3aKMD/1gflp/PnJDrsW7d69W8zNzWXIkCHSoEED8fDwkHXr1qn9kB05ckQmTJgg9erVU36gKtvFixfFyclJ1q5dKxEREeLn5yft27eXtWvXKm2Cg4PFwcFBFixYoLdf0vfee0+efPJJmTJlisyfP19UKpXMmjVL+QW9cuWKDB06VFQqlaSkpOilxoqYNm2aNG3aVKZPny7Lly8XlUolEydOlJs3b4pI4fNmAQEBolKp5Ndff9VzteqK/yy8//770rVrV6lZs6a8/vrrsnnzZmXb6tWrxc3NTcaMGaP8g1ZEW8FZFJZbt26VRo0aSdeuXcXW1lYGDBgg27ZtU2s7ceJEGTZsmNp+ZFiYn9rF/DSs/DSk7BRhflYlxpKdIsxPfWN+aoc+8pMddi1auHChLF68WEQKP6kaMmSIeHh4yOrVqyU/P1/+/PNPCQoKEg8PDzl+/Lje6vznn3/Ez89P7t+/LyIiycnJMm7cOHF0dFQLzQ8++EDOnTtXKTU5OztLWFiYsvzVV19Jy5Yt5fDhwyIiEhMTIyYmJmJiYiIBAQFKaKalpcmsWbOUczF0W7duldatW8vBgwdFpPC8zM3NxczMTF599VXlU+/MzExZtGiRwZ7XBx98II0aNZJt27bJ4cOHxcvLSzp27Kj2KfTatWulWbNm8uGHH4qIbv7Q++mnn6RRo0YSHh4uIiLff/+91KlTR7p06SJffPGF0m7ixInSqVMnvX9CTKVjflYc89N48tNQslOE+VlVGEt2ijA/9Yn5qV2VnZ/ssGtBSkqK/PHHHzJ9+nT55ptvlPXXrl0TX19f8fDwkA0bNohI4aAVRc/mVLYff/xR/Pz8ZMyYMdK7d2+1bSkpKTJu3DhxdnaW5cuXV2pdEyZMkKefflrth3nTpk3KL+APP/wg1tbWsm7dOtmyZYuoVCqZMWOG3LlzR+04hhguxQf4yMvLky+//FL5+u7cuVPq1asna9euldjYWDE1NZUJEybIjRs31I5haOe1b98+6dixo+zbt09ERH755RextLSU//znP/LUU0/JqlWrlLbR0dE6G9wmJydH3n77bZk8ebKIiFy4cEFatmwpAwcOlOeff146duwoW7ZsEZHC2wJPnz6tkzro8TA/Hw/z03jy01CyU4T5WRUYS3aKMD/1gflZtfKTHfbH9PXXX0uDBg2kfv36olKpxN/fX217ZmamvP766+Lk5CSbNm3SU5UisbGxYmFhIS+++KJ07txZVCqV2ieKIoU/VCNGjJDOnTvLv//+W2m3vv33v/+V1157TUQKPymOiYmRf//9V86dOydXrlwRNzc3+fjjj0VE5PTp09KgQQNRqVSyaNGiSqmvoor/A1AUgjdu3JDz589LZmamdOnSRfkE8Pz58/Lkk08qt10Zkgd/DtLS0mTJkiWSk5MjsbGx0rBhQ9mwYYOkp6dL69atxdHRURYsWKC2j66C89SpU3Ls2DHJysoSd3d3efPNN0VEZM+ePVKnTh1p27atREVF6eS96fExPx8f89Nw89OQs1OE+WnMjCU7RZif+sD8LFSV8pMd9sdw7do1efbZZ2XNmjXy66+/yltvvSVPPfWUzJs3T61dRkaG+Pv7qw1GUJn++ecf+fLLL5VPDM+dOyfBwcFSt25dtU+kRETOnDlTaaOHFs0XGhYWJk8//bR4eXlJvXr15OzZs0qbEydOSLt27ZRnrlJTU2XcuHGyb98+g/rk70HFwzIkJEQGDBig9v0/deqUODo6KqOMpqWlSUBAgPz2228GNd1K8fNITk6Wq1eviojIrVu3JC8vT1555RWZOXOmUvOgQYPE2dlZJk6cqPV/cEs6XtGAKLt27RJXV1e5cOGCiBSOhOvp6SmBgYHy999/a7UO0g7m5+Nhfhp2fhpSdoowP6sSY8lOEeanPjA/q2Z+ssNeQb/99pu8/PLL8uqrryqfXmVmZsqUKVOkS5cuMnfuXLX2+nr269y5c6JSqaRx48ZqzwddunRJZsyYIXXr1lVbrw+5ubni5uYmpqamMmnSJLVtp06dEpVKJQsXLpTDhw9L3759xcfHR/nlMeTQFCkcuKRJkyaydu1aOXPmjLL+4sWLYmlpKe+8847s3btXnn/+eXn22WcN6ryKB9SMGTPkmWeekW+++UZ5fuv+/fvi5uYm06ZNE5HC8Bo6dKh89dVXJc71qY1a9uzZIwsWLJC5c+dKdna2sn3Hjh3y5JNPSmxsrFLv2LFj5d9//9XK+5N2MT+1h/lpePlpSNlZ/FjMT+NnLNkpwvzUN+anduvRd36yw14Bp0+flvnz50urVq2kdevWatuuXbumTJvx3nvv6anC/8nNzZUPP/xQ6tSpI++++67atsuXL8v7778vKpVKNm7cWKl1Ff0jkpeXJ8ePHxdHR0fx8/MTFxcXCQkJUWsbFhYmpqam0qZNG+ncubPk5uaKiOGPVhsfHy/29vYa8z8WfSL4xRdfSK1atcTR0VG6detmsOdVNMjHzp07JTMzU0QKa8zOzpY33nhDevXqJZMnT5bevXuLi4uL8r3V9h8KO3fulJo1a4qnp6c8+eST0rJlS2UAnT/++EN69+4tjo6O4u7uLlZWVnodCZdKx/x8fMxP48hPQ8lOEeZnVWBM2SnC/NQn5qd2GUJ+ssNeTlu3bpVevXpJXFycfPLJJ1K/fn0ZO3asWpuMjAx566235LnnntPbIB/JyckSHx8vqampIiKyZMkSMTExkWXLlqm1u3jxosyfP19jrk5dKv7LdO7cOblx44b8888/UlBQIEFBQfLUU08pz9YUb/f7778r++r7E8Cy+PLLL8XR0VFu3bqlrHswDP/55x9JSUkxyPMqKCiQc+fOSceOHTWmqSiqNzExUUaOHCk9e/aUV155RQl9XQTm9OnTJTw8XPLz8yU9PV369OkjTz75pBw9elRERA4dOiTLli2TmTNnVurPM5Ud8/PxMT//x1Dz09CyU4T5aeyMJTtFmJ+GgPmpXYaQn+ywl8PVq1fl2WefVZ7FuXHjhnz88cfi7OyscStNZmampKen66FKke3bt0vt2rWlZcuWYmFhIWvXrpUrV67IkiVLRKVSaYRmZT6zUjww3nvvPWnVqpU0atRIPD095bPPPpO8vDx5++23SwzNIsYytcz27dvFzs5OTp48qazLz8+X/Px8iYiI0Bg10hDP68yZM9K4cWM5dOiQiKh//+7evSv37t0TkcKfIW3fTlV0vPPnz8upU6dk/Pjxsnv3bmX77du35fnnnxdbW1tJSEjQynuS7jA/Hx/z03jyU5/ZWfz9mJ/Gz1iyU4T5aSiYn4/HEPOTHfYy2rVrl7zxxhsycOBAtUEEMjMz5aOPPpIOHTpIUFCQHiss/AG7fv26Mv/mn3/+KfPnzxeVSiUffvihMsKihYVFqWGkS8UDITIyUmxtbeXbb7+ViIgImTp1qpiamsrKlSuV0HR1dZWZM2dWep3acuzYMbG1tZV3331XbSCV3NxceeaZZ+T999/XY3Vlc/78ealVq5ZERESISOH3sCjI9u/fL+vWrVPm7hTR/u1U33zzjTRq1Ejat28vKpVKli5dqnySKlIYmi+++KJYWlryFk4Dxvx8fMzPQsaSn/rOThHmZ1VgDNkpwvw0NMzPx2do+ckOexl9//33olKpxMTERA4ePKi2LTMzUz755BNp2rSpMgiCPty9e1fu3Lkj06dPl+vXryvrQ0ND1UJzwYIFUr9+fbU2lennn3+WUaNGyZIlS5R1WVlZsnz5cqlZs6bExMQoo5uOHDnSoJ6pKYsH/2GoVauWBAQEyOeffy67du2S3r17S6dOnQzm9qOSFBQUKOcxefJkadasmezcuVPZnpubK97e3vLWW2/p5L1FCp/Xc3FxkY8//lhiY2Olf//+0qBBA/nxxx/VQjM7O1sGDx6sNqgKGRbmp/YwPw07P/WZnUXvL8L8rCqMITtFmJ+Ggvn5+O8vYpj5yQ77I2RkZCif4vz6669iamoqQ4cOlUuXLmm0W758ufz111/6KFO+/fZb6dOnj7Rr106cnJyUwRCKhIaGirm5uXzwwQeSnp6uDOBQ2dLS0qRVq1ZSt25dmT9/vtq269evy4ABA2T8+PEiUjgoiS5GfNSWB2squt1IpPD7URQon3/+uTz33HNiZWUlrq6u0rdvX+UX3hCm0CjpPIrW3bhxQ5KTk2XkyJFiZWUlb7/9tkydOlWeffZZcXZ2VgsubTp8+LCEhITImDFj1Nb3799fGYREV+9N2sP81C7mp2HlpyFmpwjzsyowluwUYX7qA/Oz+uUnO+wPsX37dvHw8JDWrVvLzJkz5dq1a3L48GExNTWV0aNHa8wXqa9nQI4cOSJWVlYyduxYGTlypNSoUUMmTZqkzAlYJCQkRJ544gnJyMjQS51Fjh8/Lq1atRJXV1c5duyY2jZ/f3/p06eP2jpDe7ZGRL2m8+fPq03x8M0330itWrVk3bp1yrqsrCz5559/5NKlSwYzdcaDip57K6ovMjJSHBwc5Pr165KamiqffvqpdO7cWV544QUJCAhQ6n+c8yge2MUDcMSIEaJSqaRTp07K1DVF+vfvL02bNpVvv/3W4L6G9D/MT91gfhpefuojO4u/nwjzsyoxluwUYX7qA/OzeuYnO+ylSEhIEGtra5k7d65MmjRJOnXqJAMGDJC///5bDh06JKampjJ27FiNTzsr29mzZ+X9999Xm4oiLCxMmjVrJtOmTdMITX3dhvSg48ePy9NPPy0jRoyQxMREESkMFQ8PDxk1apR+i3uE4mH5/vvvy8CBA+X777+Xu3fvytmzZ0WlUklYWJiIlP7JrKH9I7B+/XoZN26csrxt2zapVauWhIaGqrXLyclRW9ZGYF28eFH5/5iYGOX2p3Hjxknjxo0lLCxM7VklEREvLy9p06aN2j9UZDiYn7rF/DSc/NRndoowP6saY8lOEeanPjA/C1XH/GSHvQRnz56VefPmqd0y8/3338szzzwj/fv3l7///lsOHz4sKpVKJk+erLfbSm7evCnu7u7SsGFDmT59utq2Tz/9VJ588kmZMWOGnDt3TllvSLf2HDt2TNq3by82Njby4osvyssvvywuLi7KL6Yh1VqSGTNmSMOGDeXbb79Vm0Lljz/+0GNVFbN48WKpXbu2XL58WXJzc+XVV1+V1atXa7QrHvSP+/3Zvn273Lx5U9q3by+jR4+WHTt2iEqlUpvGY/jw4eLk5CQbNmzQCMeiKWPIsDA/Kwfz0zDoIztFmJ9VkbFkpwjzU9+Yn4/HGPOTHfYHFIVQ48aNNQbx2LFjh3h5ecnAgQPl/PnzcuTIEUlOTtZTpYWOHTsmbdq0EQ8PDzlx4oTatvDwcLG0tJQ5c+YY1O0vxZ04cUIcHBzE09NTwsPDlfWG/nzd77//Lo6OjhIbG6usM6RPLR+meNgV/YNfNJDHjBkzRER0/un9e++9J7a2tnLy5En5+uuvpUGDBlKjRg35+uuvRUTkzp07StvXX39dnJycJCIiQm1OUTI8zM/KxfysXIaQnSLMz6rI2LJThPmpL8zPx2Os+ckOewmOHTsmbdu2FQ8PD41Pq3744Qd5+umn5dVXXzWYEDp+/Lh06tRJRo8erVHvunXrDH7018TEROnatau89dZb8ueff+q7HA2BgYFy4MABtXVHjhxRfuEflJOTo3ELjaHLz8+XqVOnSufOnZV1uvqE+cSJE9KkSRPlH5vt27eLSqWSunXrqt0adffuXeX/R4wYIQ0bNpTPP//c4D/5ru6Yn5WL+alflZmdIszPqszYslOE+alrzE/tMub8ZIe9FA8LoZiYGI1nc/Tt2LFj4urqKqNGjSrxl9jQHTt2TLp06SKvvvqqpKSk6LscRWZmprz22msan7jGx8eLmZmZHDp0SETUn6f55Zdf5JtvvjG4T2mL3z63efNmcXd3lwMHDiifaN64cUNsbW1l4cKFOq3j7Nmz4urqKhs2bJBNmzbJU089Jd98841ERUWJjY2N2nQdxUNz4sSJBvkPKmliflYu5qduGUp2ijA/qzpjy04R5qeuMD+1z5jzkx32hzC2EDLU0Cmr3377Tby8vOTy5cv6LkVENG8x2rRpk0RHRyufsA0cOFDat2+v9rW+d++eeHt7y9SpUyu11kcpHuh79uyR1atXy8svvyytWrWSXr16yerVq+X69esye/ZsGTFihFy/fl1nnyTeu3dPAgMDpX379qJSqWTVqlUiIvLvv//Kxo0bxcbGRm06jdWrV8uPP/6ok1pId5iflYv5qRuGlJ0izM/qwNiyU4T5qW3MT90w5vxkh/0RjC2EDC10yqv4J1qGoqCgQLKzs5VntWJiYkREZP/+/fL888+Lra2trFy5Uj766CPx9vaWjh07GtQtaz/++KN07dpVREQmT54sHh4eymitsbGxMmfOHLG2tpbBgweLm5ub1KtXT/bu3auTWoqCOCIiQlQqlbRu3Vq++OIL5ZmhGzduKKHZp08fmTRpkqhUKqP43SNNzM/KxfzULkPKThHmZ3VibNkpwvzUBean9hh7frLDXgbGFkKGGDrGpqRP+C5fvizdu3cXT09P2bNnj4iInDlzRiZOnCitWrWS//znP/L6668rtyIZQmjev39fdu3aJU5OTtKyZUupV6+e/PXXXxrtzp49K8uWLZN+/fqJSqWSfv36yb///quzurZs2SLh4eEybNgwcXd3l3Xr1ik/t1lZWbJz507p3bu3PP/885KUlKSzOkj3mJ/VT1XIT0PNThHmZ3VhbNkpwvzUBubnvzqtzVjzkx32MmIIVR/Fb0W6fPmy3L59W27evCkihSNYdu7cWTw8PCQuLk5pl5GRobafvsPyP//5jxLqIoUjXapUKnF3d1fWFQX7g9NlfPzxx9KuXTutPitX9A9QQUGB2vvdvn1bXnnlFencubNaaBbhPMFVA/Oz+jD2/DS07Cw6dtF/mZ/VC7OzemF+Mj9LYwIqE0tLS32XQJVARGBiUvhrMWvWLPTr1w9PP/003njjDcTFxaFp06b49ttvkZubi3nz5mHXrl0QETRo0EDZT0RgZmamt3O4c+cOXnrpJXh4eCjrXnjhBYSHh+P+/fvo2bMnCgoKUKNGDeTm5ip1A4BKpcI777wDEcHq1au1Uo+IQKVSYffu3XjnnXcwYMAAbNq0CQkJCahVqxY+++wzNG/eHKtXr0ZkZCTu3bun7Fu7dm2t1ED6xfysHow9Pw0tOwHmZ3XH7Kw+mJ/Mz4fSw4cERAap+Cdv69atkwYNGsimTZtk/vz5MnToUDE3N5ft27eLyP9uT2rfvr0cPnxYTxVrun37ttry/Pnzlbkl8/PzZefOndKhQwfp2bOnWrvo6GjJzs5WRvP08fGRDz74QGuDf2zbtk0sLS3Fz89PvL295amnnpKePXsqU2vcuXNHXn31VWndurV89tlnWnlPIqo8xp6fhpqdIsxPoqqO+cn8fBR22IkecODAAfH395cNGzYo69LT02XSpEliZWWlBOSlS5fkrbfeUpuyQp/eeOMN6dGjhzKoR05Ojvj7+4tKpZJt27Yp63788UdxdnaWrl27yvHjx8Xb21u8vb2VgIyPjxeVSiW///67VupKS0sTFxcXWbZsmbJu9+7dMmzYMHn22Wfl+PHjIlJ469/IkSPl3LlzWnlfIqp8xpifhpqdIsxPouqE+cn8LA077ETF/Pzzz9KqVSvl083iLly4ID179pSQkBCNKTcMITR/++03adKkiQwcOFAZtOPmzZsSFBQkpqamsnXrVhEpDM6ff/5Z3NzcpHnz5uLp6akxZ2fR/Jja8Pfff0vTpk3lm2++UVsfGxsr7dq1U+oiIuNmrPlpqNkpwvwkqi6Yn8zPh+Ez7ETFPPPMMxgxYgQAIDIyEpcuXVK22dvbw9LSEqdOnVJ79gYATE1NK7XOknTu3Bk//vgjDh48iOHDh+PGjRuwsrLC7NmzMWHCBAwZMgTbtm2Dubk5vLy8cPDgQXz77bfYu3cvatSogby8POTn5wMAbG1tK1yHiAAAkpKScPHiRdSpUwc2NjZIT08HABQUFAAAvL29YWVlhe+///4xz5yIDIGx5qehZCfA/CSqrpifzM+HYYedqq2iX9wHzZo1C5MmTcLFixexdOlSZGRkAADu3buHGzduoFGjRpVZZrl06tQJMTEx+O233+Dn54cbN26gbt26mDNnDiZMmABfX19s374dKpUK5ubmcHFxgYmJCQoKCmBmZqYEv0qlqtD7y/8P8PHtt9/ihRdewJo1a1C/fn107doVc+bMweHDh9UGR2nYsCFatWqltfMnospR1fJT39kJMD+JqgvmJ/OzvFRS9HEEUTVSUFCg/OJu2LABR44cgYWFBTp06IC33noLAPDBBx/g888/h6WlJbp164YbN27g1KlTSEpKQo0aNfRZvqL4eRSXlJSEPn36oGvXrti8eTPq1auHW7duYfbs2Vi6dCn27t2Lnj176qSmH374Af/973+xfPlyPP/882jWrBkAYMiQIfjll18QFBSERo0a4eTJk1i3bh1+/fVXODk56aQWItK+qpCfhpidAPOTqKpjfjI/K0RPt+ITGYSpU6dKo0aNZOjQodKvXz+pUaOG+Pn5Kdvnz58v9evXl169eklYWJiyXt/zrIuojyp6/vx5OXv2rFpdx44dk0aNGkn//v2V54pu3Lghy5Yt01n9d+/elf/+978yffp0ESkcOfTMmTOyePFi2bVrlwwYMECeffZZad26tXh5eUliYqJO6iAi3TPW/DTE7BRhfhJVJ8xP7arq+ckOO1UrxYNm//790qRJE/nll19EpDAEY2NjpV69ejJmzBil3ezZs8XDw0OmT58uN27cEBHR6pQTFVH8PGbPni3t2rWTFi1aSKtWrWTv3r3KFBvHjh0TGxsbGTBggGRmZqodQxfBeefOHXF3d5cJEyZIZmamjB8/Xnr27Cm2trZib28vn3zyiVy/fl2uXbsmN2/e1Pr7E5HuVIX8NNTsFGF+ElVlzM9CzM+KYYedqo3iIXf//n3ZsWOHODg4SHZ2tlq7LVu2yBNPPKEEqYjI+++/L+7u7jJx4kS5evVqpdX8KO+//740adJEvvnmG8nIyBAPDw9p3bq1REVFyd27d0VEJDExUVQqlbz77ruVUtOmTZukZs2aYmVlJYMGDVJGO50wYYL06tVL758OE1H5VbX8NMTsFGF+ElVFzM/KUZXz00zft+QTVYaff/4Zly9fxmuvvYaAgADUqlULfn5+uHr1Kg4cOAAfHx+l7dNPPw0LCwtkZ2cr6+bMmYM7d+7gyJEj+ii/RAkJCYiLi0NERAT69OmDnTt34o8//kCbNm3g7++P9evX44UXXkCnTp1w+vRptGzZslLq8vPzg7u7Oy5dugRvb29lcJWCggI0a9YM+fn5MDNj9BAZi6qWn4aanQDzk6iqYX4yP7VC358YEOlSQUGBZGVlibe3t3h5eUn//v3FyspKkpKS5ObNm/LSSy/Jyy+/LAcOHFD2ycjIEGdnZ4mOjhYR9dt3rl27VunnUOTBuTdPnTolq1evFhGRn376SWxsbGTVqlUiItKtWzdp1aqVbNy4Ue7du6fso4/5OlNSUmT69OlibW0tJ06cqPT3J6KKqSr5aazZKcL8JDJWzE/mpzaxw07VQmZmpjg6OopKpZIPP/xQWR8dHS3PPPOMeHl5ybJlyyQ6Olq8vb3F1dVVLWAeDKzKVvz9ExISlP8vCnBfX1+ZOHGi5OfnS25urvz3v/+Vxo0bS+/evSu91uKOHj0qQ4cOlXbt2klSUpJeayGiijHm/DTW7BRhfhJVBcxP/ahq+Wmk9wUQlY+JiQlatWoFGxsb7NmzB02bNsXw4cPx0ksvwdzcHD/88APef/99tG3bFg0aNMDhw4dhamqK/Px8mJqaljh9RWUREeX9Z82ahW3btmHOnDl45ZVX0LBhQ9y9excXLlxAp06dYGJiAhMTE5iZmeHw4cOwt7fXW90A0L59e4wdOxYtWrSAnZ2dXmshooox1vw05uwEmJ9EVQHzUz+qWn5yHnaqVtLT0+Hv74+7d+/ijTfewPDhw5VtaWlpqFmzJqytraFSqZCXl2dQz7rMmTMHK1euRGRkJNq3bw9bW1tl22uvvYaffvoJfn5+iI+PR1ZWFo4fPw5TU9NS58skIioPY81PZicR6Rvzkx4HO+xU7Zw/fx4TJkxAbm4uXn31VYwYMQK9evWCh4cHFi5cCAAGFzRXrlxB//79MWHCBLWQLx7qI0aMwJUrV/DEE09g8+bNqFGjhsGdBxEZN2PLT2YnERkK5idVFDvsVC2dP38e77zzDlJSUpCTk4NatWohISEB5ubm+i6tRKdOnULnzp2xa9cueHh4QESgUqkAAPfu3YOlpSUA4O7du6hZsyYAGNQntERUdRhTfjI7iciQMD+pIthhp2orLS0NCQkJuHLlCkaMGAEzMzODCJrigVj0/zdu3ICnpyeGDBmC6dOnw9TUVKn1+++/x4ULFzB+/PgSj0FEpG2GmJ/MTiIyBsxPKi922In+X9EAH/r04G1EOTk5sLCwwP379xEQEIDff/8d7733HgYPHgwAuH//PgYOHIg6dergq6++YlASkV7oOz+ZnURkrJif9CjssBMZiOKBuXTpUhw6dAjnzp3DoEGDMHLkSNSrVw+vvvoq/vnnH7Ro0QKOjo7Yt28fsrKykJSUBDMzM366SUTVDrOTiKhimJ/GgSMCEBmIosAMDg7GggUL0KJFC/Ts2RMrVqzA2LFjcfbsWXz99dcYOXIkRATJycno3LmzEph5eXkMTCKqdpidREQVw/w0DrzCTqRH4eHh6NGjB55++mkAwPHjx/Hyyy9j/fr1eOaZZwAAR44cwaRJk2Bra4vPP/9cGdij+Kei+n72iYioMjE7iYgqhvlpfHiFnUhPzp8/j4ULFyIsLAzJyckAAFNTU7XRNvPz89G5c2eEhobi+++/R2xsrLJ/8eeNGJhEVF0wO4mIKob5aZzYYSfSEwcHB3z33Xc4duwYli5dipSUFNSvXx+3b9/G2bNnARR+kllQUIAuXbrA2dkZZ86c0XPVRET6xewkIqoY5qdxYoedSI9cXFywZs0aJCQk4JNPPkF+fj6mTZuGUaNGYd++fahRowZMTExw+/Zt5OTkoH79+voumYhI75idREQVw/w0PnyGncgAJCYmwt/fH+7u7hg8eDB++OEHrFixAu+++y7q1KmD+Ph4XL58GYmJibwFiYjo/zE7iYgqhvlpPNhhJzIQiYmJGD16NNzc3ODn54czZ84gPDwcNWvWhJ2dHTZs2IAaNWrofb5OIiJDwuwkIqoY5qdxYIedyIAcO3YMo0ePhqurK+bNmwcbGxu1+S05IicRkSZmJxFRxTA/DR877EQGJjExEW+99RZatGiBDz/8EK1btwYAtfAkIiJ1zE4ioophfho2DjpHZGBcXFwQFhYGKysrtGzZUlnPwCQiKh2zk4ioYpifho1X2IkMVNGnmgUFBWrzXhIRUemYnUREFcP8NEzssBMZMN6KRERUfsxOIqKKYX4aHnbYiYiIiIiIiAwQ73UgIiIiIiIiMkDssBMREREREREZIHbYiYiIiIiIiAwQO+xEREREREREBogddiIiIiIiIiIDxA47USWLiIhAvXr19F0GEZHRYX4SEVUM89N4scNOREREREREZIDYYSetyc3N1XcJ1cb9+/f1XQIRaRHzs/IwP4mqFuZn5WF+6gc77FRhzzzzDMaPH4+goCA0bNgQ3t7eSE5ORr9+/VCnTh3Y2Nhg+PDhyMjIUPYpKCjAokWL0Lp1a1hYWKB58+ZYsGCBsv3EiRPo1asXatasiQYNGmD06NHIzs5Wto8cORIDBw7EwoULYWNjg3r16mHOnDnIy8vD1KlTUb9+fTRr1gwbNmxQ9rlw4QJUKhW+/vpreHp6ombNmujcuTPOnDmDI0eOwN3dHXXq1MHzzz+Pa9euqZ3jxo0b0a5dO1haWsLJyQlhYWEax922bRueffZZ1KpVC08//TQOHTqkdoyIiAg0b94ctWrVwqBBg5CZmanxtdyxYwfc3NxgaWmJli1bKudURKVSYdWqVRgwYABq166N+fPnV+A7RkSGgvnJ/CSiimF+Mj+rHSGqIC8vL6lTp45MnTpVTp06JQcPHpSGDRtKcHCwpKSkyLFjx8Tb21ueffZZZZ93331XnnjiCYmIiJCzZ89KfHy8rF27VkREbt++LU2bNpWXX35ZTpw4IXv27BEHBwcZMWKEsv+IESOkbt26Mm7cODl16pSsX79eAEifPn1kwYIFcubMGZk3b57UqFFDUlNTRUTk/PnzAkCcnJxk165dkpycLN26dRNXV1d55plnZP/+/XLs2DFp3bq1BAQEKO+1Zs0asbW1la1bt8q5c+dk69atUr9+fYmIiNA47vfffy+nT5+WwYMHi729vdy/f19ERA4fPiwqlUpCQkLk9OnTsmzZMqlXr55YW1sr77Nr1y6xsrKSiIgI+euvvyQ2NlZatGghs2fPVtoAkMaNG8v69evlr7/+kgsXLmj9+0lElYf5yfwkoophfjI/qxt22KnCvLy8pFOnTsryrFmzxMfHR63NxYsXBYCcPn1asrKyxMLCQgnIB61Zs0aeeOIJyc7OVtb98MMPYmJiIunp6SJSGJj29vaSn5+vtHF0dBRPT09lOS8vT2rXri2RkZEi8r9gW7dundImMjJSAMiePXuUdSEhIeLo6Kgs29nZyZdffqlW47x586R79+6lHvfkyZMCQFJSUkREZOjQofL888+rHcPX11ctMD09PWXhwoVqbT777DOxtbVVlgHI5MmTS/y6EZHxYX4yP4moYpifzM/qxqwyruJT1eXu7q78f0JCAn7++WfUqVNHo91ff/2FGzduICcnB7179y7xWCkpKXj66adRu3ZtZZ2HhwcKCgpw+vRp2NjYAAA6dOgAE5P/Pc1hY2MDZ2dnZdnU1BQNGjTA1atX1Y7/1FNPqe0DAB07dlRbV7TPtWvXcPHiRfj7++Ott95S2uTl5cHa2rrU49ra2gIArl69CicnJ6SkpGDQoEFq7bt3745du3YpywkJCThy5IjarVn5+fm4d+8e7ty5g1q1agFQ/1oTkfFjfjI/iahimJ/Mz+qEHXZ6LMXDraCgAP3798eiRYs02tna2uLcuXMPPZaIQKVSlbit+PoaNWpobCtpXUFBgdq64m2KjvfguqJ9iv67du1adO3aVe04pqamjzxu0f4iUuL5FFdQUIA5c+bg5Zdf1thmaWmp/H/xrzURGT/mJ/OTiCqG+cn8rE7YYSetcXV1xdatW9GiRQuYmWn+aLVp0wY1a9bEnj17MGrUKI3t7du3x6ZNm3D79m0lHA4cOAATExO0bdtW5/UXZ2NjgyeffBLnzp3Da6+9VuHjtG/fHocPH1Zb9+Cyq6srTp8+jdatW1f4fYjIuDE/NTE/iagsmJ+amJ9VC0eJJ60ZN24crl+/jqFDh+K3337DuXPnEBsbizfffBP5+fmwtLTEe++9h3fffRebN2/GX3/9hcOHD2P9+vUAgNdeew2WlpYYMWIE/vjjD/z888+YMGEChg8frtxCVJlmz56NkJAQLFu2DGfOnMGJEyewceNGLFmypMzHmDhxInbt2oWPPvoIZ86cwaeffqp2OxIAvP/++9i8eTNmz56NkydPIiUlBVFRUZg5c6a2T4mIDBTzUxPzk4jKgvmpiflZtbDDTlrTtGlTHDhwAPn5+ejTpw+cnZ0xadIkWFtbK8/8zJo1C2+//Tbef/99tGvXDr6+vspzO7Vq1UJMTAyuX7+Ozp07Y/Dgwejduzc+/fRTvZzPqFGjsG7dOkRERKBjx47w8vJCREQEHBwcynyMbt26Yd26dVixYgU6deqE2NhYjSDs06cPvv/+e8TFxaFz587o1q0blixZAnt7e22fEhEZKOanJuYnEZUF81MT87NqUUlZHnIgIiIiIiIiokrFK+xEREREREREBogddiIiIiIiIiIDxA47ERERERERkQFih52IiIiIiIjIALHDTkRERERERGSA2GEnIiIiIiIiMkDssBMREREREREZIHbYiYiIiIiIiAwQO+xEREREREREBogddiIiIiIiIiIDxA47ERERERERkQH6PzWJKNnaeMAkAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -299,7 +299,7 @@ }, { "cell_type": "markdown", - "id": "463cfdd5", + "id": "b351d883", "metadata": {}, "source": [ "The summary tables show the mean values, standard deviation, and quantiles (10%ile, Median, 90%ile), each accompanied by their respective 95% confidence intervals for effectiveness metrics across recommenders." @@ -308,13 +308,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "b9be4396", + "id": "06ed1e3a", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T00:16:00.485153Z", - "iopub.status.busy": "2024-11-27T00:16:00.484964Z", - "iopub.status.idle": "2024-11-27T01:28:08.858412Z", - "shell.execute_reply": "2024-11-27T01:28:08.857745Z" + "iopub.execute_input": "2024-12-03T02:11:42.985027Z", + "iopub.status.busy": "2024-12-03T02:11:42.984924Z", + "iopub.status.idle": "2024-12-03T03:07:00.112300Z", + "shell.execute_reply": "2024-12-03T03:07:00.111760Z" } }, "outputs": [ @@ -361,12 +361,12 @@ "\n", "\n", "nrms\n", - "0.418
(0.416,0.419)\n", + "0.418
(0.417,0.419)\n", "0.410
(0.410,0.411)\n", "0.000
(0.000,0.000)\n", "0.431
(0.431,0.431)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "pfar\n", "0.418
(0.417,0.419)\n", @@ -377,12 +377,12 @@ "\n", "\n", "softmax\n", - "0.383
(0.382,0.385)\n", + "0.383
(0.382,0.384)\n", "0.406
(0.405,0.406)\n", "0.000
(0.000,0.000)\n", - "0.281
(0.281,0.297)\n", + "0.281
(0.281,0.281)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "topic-cali\n", "0.418
(0.417,0.419)\n", @@ -446,11 +446,11 @@ "\n", "nrms\n", "0.483
(0.482,0.484)\n", - "0.370
(0.370,0.371)\n", + "0.370
(0.370,0.370)\n", "0.000
(0.000,0.000)\n", "0.431
(0.431,0.431)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "pfar\n", "0.483
(0.482,0.484)\n", @@ -466,7 +466,7 @@ "0.000
(0.000,0.000)\n", "0.387
(0.387,0.387)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "topic-cali\n", "0.483
(0.482,0.484)\n", @@ -529,12 +529,12 @@ "\n", "\n", "nrms\n", - "0.371
(0.370,0.373)\n", + "0.372
(0.370,0.373)\n", "0.360
(0.359,0.360)\n", "0.000
(0.000,0.000)\n", "0.250
(0.250,0.250)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "pfar\n", "0.372
(0.370,0.373)\n", @@ -545,12 +545,12 @@ "\n", "\n", "softmax\n", - "0.333
(0.332,0.335)\n", - "0.342
(0.342,0.343)\n", + "0.333
(0.331,0.334)\n", + "0.342
(0.341,0.342)\n", "0.000
(0.000,0.000)\n", "0.200
(0.200,0.200)\n", "1.000
(1.000,1.000)\n", - "\n", + "\n", "\n", "topic-cali\n", "0.372
(0.370,0.373)\n", @@ -583,7 +583,7 @@ }, { "cell_type": "markdown", - "id": "00087ffe", + "id": "100ce5fb", "metadata": {}, "source": [ "### 2. 2 Ranking Overlap Metrics\n", @@ -593,13 +593,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "48e3b66e", + "id": "2aee4826", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T01:28:08.860576Z", - "iopub.status.busy": "2024-11-27T01:28:08.860417Z", - "iopub.status.idle": "2024-11-27T01:28:43.811880Z", - "shell.execute_reply": "2024-11-27T01:28:43.811257Z" + "iopub.execute_input": "2024-12-03T03:07:00.113509Z", + "iopub.status.busy": "2024-12-03T03:07:00.113378Z", + "iopub.status.idle": "2024-12-03T03:07:22.896164Z", + "shell.execute_reply": "2024-12-03T03:07:22.895801Z" } }, "outputs": [ @@ -628,7 +628,7 @@ }, { "cell_type": "markdown", - "id": "d32a4ca0", + "id": "b25e5f49", "metadata": {}, "source": [ "The summary tables show the mean values, standard deviation, and quantiles (10%ile, Median, 90%ile), each accompanied by their respective 95% confidence intervals for ranking overlap metrics across recommenders." @@ -637,13 +637,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "3d91afc6", + "id": "1789b8c3", "metadata": { "execution": { - "iopub.execute_input": "2024-11-27T01:28:43.813629Z", - "iopub.status.busy": "2024-11-27T01:28:43.813471Z", - "iopub.status.idle": "2024-11-27T02:14:45.930510Z", - "shell.execute_reply": "2024-11-27T02:14:45.929809Z" + "iopub.execute_input": "2024-12-03T03:07:22.897438Z", + "iopub.status.busy": "2024-12-03T03:07:22.897291Z", + "iopub.status.idle": "2024-12-03T03:33:20.858612Z", + "shell.execute_reply": "2024-12-03T03:33:20.858360Z" } }, "outputs": [ @@ -674,7 +674,7 @@ "\n", "\n", "locality-cali\n", - "0.391
(0.391,0.392)\n", + "0.391
(0.391,0.391)\n", "0.072
(0.072,0.073)\n", "0.396
(0.396,0.396)\n", "0.410
(0.410,0.410)\n", @@ -698,7 +698,7 @@ "\n", "\n", "pfar\n", - "0.391
(0.391,0.391)\n", + "0.391
(0.391,0.392)\n", "0.072
(0.072,0.073)\n", "0.396
(0.396,0.396)\n", "0.410
(0.410,0.410)\n", @@ -711,7 +711,7 @@ "0.044
(0.044,0.044)\n", "0.216
(0.216,0.219)\n", "0.364
(0.364,0.364)\n", - "\n", + "\n", "\n", "topic-cali\n", "0.391
(0.391,0.392)\n", @@ -771,7 +771,7 @@ "0.235
(0.235,0.235)\n", "0.311
(0.308,0.311)\n", "0.453
(0.453,0.453)\n", - "\n", + "\n", "\n", "nrms\n", "0.608
(0.607,0.608)\n", @@ -791,11 +791,11 @@ "\n", "softmax\n", "0.373
(0.372,0.373)\n", - "0.146
(0.146,0.146)\n", + "0.146
(0.145,0.146)\n", "0.172
(0.171,0.172)\n", - "0.382
(0.381,0.383)\n", + "0.383
(0.381,0.384)\n", "0.552
(0.552,0.553)\n", - "\n", + "\n", "\n", "topic-cali\n", "0.608
(0.607,0.608)\n", diff --git a/outputs/mind-small/metrics.csv b/outputs/mind-small/metrics.csv index be5d8ec1..a5be03dd 100644 --- a/outputs/mind-small/metrics.csv +++ b/outputs/mind-small/metrics.csv @@ -1,7 +1,7 @@ recommender,NDCG@5,NDCG@10,MRR,RBO@5,RBO@10 -locality-cali,0.4171536059941225,0.48251905284633967,0.37054744784506105,0.39112969906496053,0.6076198309840596 +locality-cali,0.4171536059941225,0.48251905284633967,0.37054744784506105,0.3911296293061023,0.6076199467392752 mmr,0.35579750600797894,0.4981208173313458,0.31145743826292543,0.22695393184055115,0.32274881943529315 -nrms,0.4171542394704296,0.48248182346740986,0.3707096725756503,0.39113024753937,0.6076209216365874 -pfar,0.4171536059941225,0.48251905284633967,0.37054744784506105,0.39112969906496053,0.6076198309840596 -softmax,0.38342549948190957,0.4506883951907924,0.3317682294921468,0.2097922886045494,0.3724458382422594 -topic-cali,0.4171536059941225,0.48251905284633967,0.37054744784506105,0.39112969906496053,0.6076198309840596 +nrms,0.4171357416899212,0.4825323850285321,0.3706339062217917,0.39113024753937,0.6076209216365874 +pfar,0.4171536059941225,0.48251905284633967,0.37054744784506105,0.3911296293061023,0.6076199467392752 +softmax,0.3833981720081835,0.45081795059531876,0.3321380617353386,0.20969089732338142,0.3722051551606116 +topic-cali,0.4171536059941225,0.48251905284633967,0.37054744784506105,0.3911296293061023,0.6076199467392752 diff --git a/outputs/mind-subset/metrics.csv b/outputs/mind-subset/metrics.csv index c082a9bd..fc86ba61 100644 --- a/outputs/mind-subset/metrics.csv +++ b/outputs/mind-subset/metrics.csv @@ -1,7 +1,7 @@ recommender,NDCG@5,NDCG@10,MRR,RBO@5,RBO@10 -locality-cali,0.41258029427212617,0.4799584099761152,0.3773281746031746,0.3888769779999999,0.6037961667861186 +locality-cali,0.41258029427212617,0.4799584099761152,0.3773281746031746,0.38897697799999986,0.6038961667861186 mmr,0.36260738955375116,0.5197700868114026,0.3196722222222222,0.22704047299999996,0.3233538800333043 -nrms,0.4103671104723628,0.4774515541437908,0.37657936507936507,0.38897697799999986,0.6038961667861186 -pfar,0.41258029427212617,0.4799584099761152,0.3773281746031746,0.3888769779999999,0.6037961667861186 -softmax,0.3841331942435803,0.45118983124375606,0.34452936507936505,0.20850635999999995,0.3707302673568128 -topic-cali,0.41258029427212617,0.4799584099761152,0.3773281746031746,0.3888769779999999,0.6037961667861186 +nrms,0.4095967741826367,0.4761685169507715,0.3724476190476191,0.38897697799999986,0.6038961667861186 +pfar,0.41258029427212617,0.4799584099761152,0.3773281746031746,0.38897697799999986,0.6038961667861186 +softmax,0.3854226917588238,0.45140865141914105,0.3379642857142857,0.21319334099999995,0.37530310939543277 +topic-cali,0.41258029427212617,0.4799584099761152,0.3773281746031746,0.38897697799999986,0.6038961667861186 diff --git a/outputs/mind-val/metrics.csv b/outputs/mind-val/metrics.csv index e05fe8f4..142f9851 100644 --- a/outputs/mind-val/metrics.csv +++ b/outputs/mind-val/metrics.csv @@ -1,7 +1,7 @@ recommender,NDCG@5,NDCG@10,MRR,RBO@5,RBO@10 -locality-cali,0.41784484004402095,0.4829450574043462,0.37157370476437546,0.3912675113222531,0.6078331200459111 -mmr,0.3589295721326262,0.5028666915073162,0.3127683826739664,0.22722075092370989,0.32333628028067884 -nrms,0.41767575607988744,0.4828253740281318,0.37142885181020924,0.39126863333961964,0.6078344546963851 -pfar,0.41784484004402095,0.4829450574043462,0.37157370476437546,0.3912675113222531,0.6078331200459111 -softmax,0.383403659036271,0.4511623521953559,0.3334263051438478,0.21016539909581344,0.37285124597608627 -topic-cali,0.41784484004402095,0.4829450574043462,0.37157370476437546,0.3912675113222531,0.6078331200459111 +locality-cali,0.41784484004402095,0.4829450574043462,0.37157370476437546,0.3912673030485747,0.6078328581766465 +mmr,0.3589295721326262,0.5028667882975844,0.31276849335092866,0.22722075092370989,0.3233362905715243 +nrms,0.4178254938949696,0.4829404987679788,0.3715477262461625,0.39126863333961964,0.6078344546963851 +pfar,0.41784484004402095,0.4829450574043462,0.37157370476437546,0.3912673030485747,0.6078328581766465 +softmax,0.3828735992908713,0.45077278535229554,0.33250694429424,0.21017851942380683,0.3729055717830188 +topic-cali,0.41784484004402095,0.4829450574043462,0.37157370476437546,0.3912673030485747,0.6078328581766465 diff --git a/src/poprox_recommender/config.py b/src/poprox_recommender/config.py index ec0bafff..61517759 100644 --- a/src/poprox_recommender/config.py +++ b/src/poprox_recommender/config.py @@ -8,10 +8,19 @@ def default_device() -> str: """ Get the default device for POPROX components. This is read from the - ``POPROX_REC_DEVICE`` environment variable, and defaults to ``cpu`` if that - variable is not set. + ``POPROX_REC_DEVICE`` environment variable, if it exists; otherwise it + selects ``cuda`` if it is available and ``cpu`` otherwise. """ - return os.environ.get("POPROX_REC_DEVICE", "cpu") + import torch + + configured = os.environ.get("POPROX_REC_DEVICE", None) + + if configured: + return configured + elif torch.cuda.is_available(): + return "cuda" + else: + return "cpu" def available_cpu_parallelism(max: int | None = None) -> int: