From 6283cf56e64ca3d6577fa3d088413357f883fcc5 Mon Sep 17 00:00:00 2001 From: Emanuele Pireddu Date: Fri, 9 Jul 2021 12:43:39 +0200 Subject: [PATCH 1/3] Entrega --- PROJECT/Draft VG - TTBG Recommender.ipynb | 357 ++++++++++++++++++++++ your-project/README.md | 38 --- your-project/README.txt | 10 + 3 files changed, 367 insertions(+), 38 deletions(-) create mode 100644 PROJECT/Draft VG - TTBG Recommender.ipynb delete mode 100644 your-project/README.md create mode 100644 your-project/README.txt diff --git a/PROJECT/Draft VG - TTBG Recommender.ipynb b/PROJECT/Draft VG - TTBG Recommender.ipynb new file mode 100644 index 0000000..602ba27 --- /dev/null +++ b/PROJECT/Draft VG - TTBG Recommender.ipynb @@ -0,0 +1,357 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f453b20f", + "metadata": {}, + "source": [ + "# DRAFT PROJECT: TABLETOP + VIDEOGAME RECOMMENDER\n" + ] + }, + { + "cell_type": "markdown", + "id": "d38b738f", + "metadata": {}, + "source": [ + "## Main Idea" + ] + }, + { + "cell_type": "markdown", + "id": "ed2d0815", + "metadata": {}, + "source": [ + "Create a Tabletop/Boardgame recommender that asks users a videogame they like.\n", + "\n", + "Clustering VG and adding TTBG to the grouping. \n", + "\n", + "Not based just in theme/genre i.e Horror, Resource Management, Strategy, etc\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "31b1ba21", + "metadata": {}, + "source": [ + "### First problem to tackle" + ] + }, + { + "cell_type": "markdown", + "id": "89ce9fed", + "metadata": {}, + "source": [ + "Resources
\n", + "
\n", + "https://www.tabletopfinder.eu/en#
\n", + "
\n", + "https://www.igdb.com/discover
\n", + "
\n", + "\n", + "* Are APIs linkable? What parameters are defined in DBs, are they translatable? i.e Param VG 'Fast-paced', 'Asymmetrical pvp', etc =? Param TTBG 'Arcade-like/Casual', 'Game Master', etc" + ] + }, + { + "cell_type": "markdown", + "id": "e79ef90c", + "metadata": {}, + "source": [ + "#### importing" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "8ded8e95", + "metadata": {}, + "outputs": [], + "source": [ + "# API\n", + "\n", + "import requests\n", + "\n", + "\n", + "import random\n", + "import pandas as pd\n", + "from bs4 import BeautifulSoup\n", + "\n", + "#import pprint\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "5b5d6e2e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting twitchAPI\n", + " Downloading twitchAPI-2.3.2.tar.gz (40 kB)\n", + "Requirement already satisfied: requests in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from twitchAPI) (2.25.1)\n", + "Requirement already satisfied: python-dateutil in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from twitchAPI) (2.8.1)\n", + "Collecting aiohttp\n", + " Downloading aiohttp-3.7.4.post0-cp38-cp38-win_amd64.whl (635 kB)\n", + "Collecting websockets\n", + " Downloading websockets-9.1-cp38-cp38-win_amd64.whl (90 kB)\n", + "Collecting async-timeout<4.0,>=3.0\n", + " Downloading async_timeout-3.0.1-py3-none-any.whl (8.2 kB)\n", + "Requirement already satisfied: attrs>=17.3.0 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from aiohttp->twitchAPI) (20.3.0)\n", + "Requirement already satisfied: typing-extensions>=3.6.5 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from aiohttp->twitchAPI) (3.7.4.3)\n", + "Requirement already satisfied: chardet<5.0,>=2.0 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from aiohttp->twitchAPI) (4.0.0)\n", + "Collecting multidict<7.0,>=4.5\n", + " Downloading multidict-5.1.0-cp38-cp38-win_amd64.whl (48 kB)\n", + "Collecting yarl<2.0,>=1.0\n", + " Downloading yarl-1.6.3-cp38-cp38-win_amd64.whl (125 kB)\n", + "Requirement already satisfied: idna>=2.0 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from yarl<2.0,>=1.0->aiohttp->twitchAPI) (2.10)\n", + "Requirement already satisfied: six>=1.5 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from python-dateutil->twitchAPI) (1.15.0)\n", + "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from requests->twitchAPI) (1.26.4)\n", + "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from requests->twitchAPI) (2020.12.5)\n", + "Building wheels for collected packages: twitchAPI\n", + " Building wheel for twitchAPI (setup.py): started\n", + " Building wheel for twitchAPI (setup.py): finished with status 'done'\n", + " Created wheel for twitchAPI: filename=twitchAPI-2.3.2-py3-none-any.whl size=41196 sha256=d7346103bd6061a452901936d8818a9fe43030c2e8cdd3d8a48357a0117c9395\n", + " Stored in directory: c:\\users\\emanuele\\appdata\\local\\pip\\cache\\wheels\\05\\f9\\e9\\02dcf9aed62e223f4e623da2953383096225c05f3fe606ed5a\n", + "Successfully built twitchAPI\n", + "Installing collected packages: multidict, yarl, async-timeout, websockets, aiohttp, twitchAPI\n", + "Successfully installed aiohttp-3.7.4.post0 async-timeout-3.0.1 multidict-5.1.0 twitchAPI-2.3.2 websockets-9.1 yarl-1.6.3\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "pip install twitchAPI" + ] + }, + { + "cell_type": "markdown", + "id": "9ddc5c2e", + "metadata": {}, + "source": [ + "### Trying webscraping for top VG" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "0523eb5b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "200" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#url = 'https://www.igdb.com/top-100/games'\n", + "\n", + "# trying just pone page of a VG\n", + "\n", + "\n", + "url = 'https://www.igdb.com/games/persona-5-royal'\n", + "\n", + "\n", + "page = requests.get(url)\n", + "page.status_code" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "894a4467", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\n", + "\n", + "\n", + "Persona 5 Royal (2019)
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Persona 5 RoyalEdit

Oct 31, 2019 (...)

Atlus

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Persona 5 Royal is a Expanded Game for Persona 5

Genre: Adventure, Role-playing (RPG)

Platforms: PlayStation 4

Versions: See 4 more versions of this game

An enhanced version of Persona 5 with some new characters and a third semester added to the game. Released Internationally in 2020.


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99Superb94
Based on 80
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Based on 9
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Member Reviews

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captainrockyo
2 reviews

Great 100%

I'll preface by saying that this is the first Persona game I've played. The vanilla version was on my to-play list for ages and when it came time to finally play it, I was convinced by many rave reviews that Persona 5 Royal was the way to go and a great entry point into the series.\n", + "\n", + "I'm so glad I listened. This game is phenomenal and one hell of a ride.\n", + "\n", + "The storyline is well-written and kept me engaged to the end. It's a very long game. It took ... Read More
justine_advenworks
1 reviews

Great 100%

This game is perfect. That's all I need to say!
Graphics are great, the UI is awesome, the musics are perfect (well-executed, nice rhythm, good quality), characters are well written and interesting, it covers both some serious issues and lighter topics, the story is great... It's one of my favorite J-RPG ever.
DingleDongle
58 reviews

Good 90%

This game should be a step up in every way but I feel like Yoshizawa's addition comes of almost robotic in placement. She barely interacts with the group other than the the new additions, and almost pressures you to choose her as your romance option. In stark contrast, to the final section of the game where she is clearly added on. The character actually has a good point one/two months earlier to join the group but it's clear that they made a de... Read More

Recommendations




" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# VG soup is a page with VG ordered by Rating, desc. \n", + "\n", + "VGsoup = BeautifulSoup(page.content, 'html.parser')\n", + "VGsoup" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "7673ffea", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Lookin for the info of games showed\n", + "\n", + "#VG_list = VGsoup.find_all(\"span\", {\"class\":\"chart-element__information__song text--truncate color--primary\"})\n", + "\n", + "#content-page > div > div > div.mar-lg-top > div.row.fix-heights > div:nth-child(1) > div > div.media-body\n", + "\n", + "#VG_name = [elem.get_text() for elem in song_list]\n", + "\n", + "VG_list = VGsoup.find_all()\n", + "\n", + "\n", + "\n", + "VG_list" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "058e6bdf", + "metadata": {}, + "outputs": [], + "source": [ + "### Check this Ema, found it - Att. Ema\n", + "\n", + "from twitch import TwitchClient\n", + "import twitch\n", + "\n", + "\n", + "client = TwitchClient(client_id='CLIENT ID', oauth_token='TOKEN')\n", + "channel = client.channels.get_by_id(44322889)\n", + "client.users.follow_channel(user_id=400025983, channel_id=44322889)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/your-project/README.md b/your-project/README.md deleted file mode 100644 index c7951f8..0000000 --- a/your-project/README.md +++ /dev/null @@ -1,38 +0,0 @@ -Ironhack Logo - -# Title of My Project -*[Your Name]* - -*[Your Cohort, Campus & Date]* - -## Content -- [Project Description](#project-description) -- [Questions & Hypotheses](#questions-hypotheses) -- [Dataset](#dataset) -- [Workflow](#workflow) -- [Organization](#organization) -- [Links](#links) - -## Project Description -Write a short introduction to your project: 3-5 sentences about the context of your topic and why you chose it. - -## Questions & Hypotheses -What are the questions you would like to answer with your analysis? What did you feel were the answers to those questions before answering them with data? - -## Dataset -What dataset (or datasets) did you use? What are the different sources you used (e.g. APIs, web scrapping, etc.)? Provide links to the data if available and describe the data briefly. - -## Workflow -Outline the workflow you used in your project. What are the steps you went through? - -## Organization -How did you organize your work? Did you use any tools like a kanban board? - -What does your repository look like? Explain your folder and file structure. - -## Links -Include links to your repository, slides and kanban board. Feel free to include any other links associated with your project. - -[Repository](https://github.com/) -[Slides](https://slides.com/) -[Trello](https://trello.com/en) diff --git a/your-project/README.txt b/your-project/README.txt new file mode 100644 index 0000000..3fd588a --- /dev/null +++ b/your-project/README.txt @@ -0,0 +1,10 @@ +Board Game Recommender +by Emanuele Pireddu + +Initial idea was to create a videogame to boardgame recommender. Idea changed to a regular board game recommender. + +API used: boardgameatlas.com/api + +https://trello.com/b/vlSxgmBi/project-board-game-recommender + +https://docs.google.com/presentation/d/1tsIq73YiPmDkExyUuQajSu5LohMI5xayEPjGQk0hOZ8/edit?usp=sharing \ No newline at end of file From 6f7b42edc7471f5bb21b72e61dd2159b7e38972a Mon Sep 17 00:00:00 2001 From: Emanuele Pireddu Date: Fri, 9 Jul 2021 12:49:04 +0200 Subject: [PATCH 2/3] EntregawithReport --- ...Technical Report Board game recommender.odt# | 1 + .../Technical Report Board game recommender.odt | Bin 0 -> 69491 bytes 2 files changed, 1 insertion(+) create mode 100644 your-project/.~lock.Technical Report Board game recommender.odt# create mode 100644 your-project/Technical Report Board game recommender.odt diff --git a/your-project/.~lock.Technical Report Board game recommender.odt# b/your-project/.~lock.Technical Report Board game recommender.odt# new file mode 100644 index 0000000..eefd82d --- /dev/null +++ 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zIA4x~ui91Q5s~g9{B#ne*TId=1aF_4>xMJ`9;`s{rggCf{yo*NQ1^a)Kv0A~Nkbu~ zAhSOQs2w-J6bywk1zW%mEWhdt;6{({;fDUt-~+$?I~GG@V>qY%J~9Eu4z{*%mU}aW z{6PA{>(NgnaL=p1J|Im01JdsU%nl$0vbQp{w)-oG|AdVEH)JbddSVOHHtZz{L$8!CSr{y2;+;A#~|6!?4 z{s9ks(gFX^O2rQE9)GXp8!Xm_5Fq$pO67KY>pTMP>FVbCy^eu!JR0T>Rz?s*5ZDf2 z|Ks+?)76g-^rKfQp?+KtfZIr(Jw!mj`dPv7J65<@Xbgqe|E=f!NQhqSMlA^kQ-xnQ zGUCsWC0mb=0G{LKZ=`!C_HIDE+dv)`@0n9lPLjV8( literal 0 HcmV?d00001 From d7014c5abdda7372af29d3c3b992e2a1c6d6c7cb Mon Sep 17 00:00:00 2001 From: Emanuele Pireddu Date: Fri, 9 Jul 2021 14:10:38 +0200 Subject: [PATCH 3/3] EntregaFinalSorry --- PROJECT/Draft Board Game Recommender.ipynb | 20498 ++++++++++++++++ PROJECT/Draft VG - TTBG Recommender.ipynb | 357 - ...chnical Report Board game recommender.odt# | 1 - 3 files changed, 20498 insertions(+), 358 deletions(-) create mode 100644 PROJECT/Draft Board Game Recommender.ipynb delete mode 100644 PROJECT/Draft VG - TTBG Recommender.ipynb delete mode 100644 your-project/.~lock.Technical Report Board game recommender.odt# diff --git a/PROJECT/Draft Board Game Recommender.ipynb b/PROJECT/Draft Board Game Recommender.ipynb new file mode 100644 index 0000000..83c6f34 --- /dev/null +++ b/PROJECT/Draft Board Game Recommender.ipynb @@ -0,0 +1,20498 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ffd10424", + "metadata": {}, + "source": [ + "# PROTOTYPE: TABLETOP RECOMMENDER\n" + ] + }, + { + "cell_type": "markdown", + "id": "9f2ef16b", + "metadata": {}, + "source": [ + "[Twitch API](#Twitch-API)\n", + "\n", + "[WebScraping Test](#Trying-webscraping-for-top-VG)\n", + "\n", + "[Machine Learning](#Machine-Learning)\n", + "\n", + "[Change nº of clusters](#Change-nº-of-clusters)\n", + "\n", + "[Predict](#Temporary-stored-Kmeans2)\n", + "\n", + "[User interaction](#Input)\n", + "\n", + "[Img from Url](#Trying-to-show-image-from-url)\n", + "\n", + "[Final Functions](#FINAL-FUNCTION-BELOW)\n", + "\n", + "\n", + "\n", + "\n", + "[DEMO](#DEMO)" + ] + }, + { + "cell_type": "markdown", + "id": "608df649", + "metadata": {}, + "source": [ + "## Main Idea" + ] + }, + { + "cell_type": "markdown", + "id": "1bf5f011", + "metadata": {}, + "source": [ + "Create a board game recommender that asks users a board game they like.\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "4a1ae0f5", + "metadata": {}, + "source": [ + "### First problem to tackle" + ] + }, + { + "cell_type": "markdown", + "id": "57a40052", + "metadata": {}, + "source": [ + "Resources
\n", + "
\n", + "https://www.boardgameatlas.com/
\n", + "
\n", + "https://www.igdb.com/discover
\n", + "
\n", + "\n", + "* Are APIs linkable? What parameters are defined in DBs, are they translatable? i.e Param VG 'Fast-paced', 'Asymmetrical pvp', etc =? Param TTBG 'Arcade-like/Casual', 'Game Master', etc" + ] + }, + { + "cell_type": "markdown", + "id": "eda55880", + "metadata": {}, + "source": [ + "#### importing" + ] + }, + { + "cell_type": "code", + "execution_count": 1567, + "id": "ac026751", + "metadata": {}, + "outputs": [], + "source": [ + "# API\n", + "\n", + "import requests\n", + "\n", + "import pprint\n", + "\n", + "\n", + "# JIC\n", + "import random\n", + "import pandas as pd\n", + "from bs4 import BeautifulSoup\n", + "\n", + "\n", + "\n", + "\n", + "# To show images of recommendations OR also user's input\n", + "import urllib.request\n", + "from PIL import Image\n", + "from io import BytesIO\n", + "from matplotlib.pyplot import imshow\n", + "\n", + "\n", + "# Machine learning\n", + "from sklearn import datasets\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.cluster import KMeans\n", + "from sklearn.metrics import silhouette_score" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "96eff3ae", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting igdb-api-v4\n", + " Downloading igdb_api_v4-0.0.3-py3-none-any.whl (25 kB)\n", + "Requirement already satisfied: requests in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from igdb-api-v4) (2.25.1)\n", + "Collecting protobuf\n", + " Downloading protobuf-3.17.3-cp38-cp38-win_amd64.whl (909 kB)\n", + "Requirement already satisfied: six>=1.9 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from protobuf->igdb-api-v4) (1.15.0)\n", + "Requirement already satisfied: idna<3,>=2.5 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from requests->igdb-api-v4) (2.10)\n", + "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from requests->igdb-api-v4) (1.26.4)\n", + "Requirement already satisfied: chardet<5,>=3.0.2 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from requests->igdb-api-v4) (4.0.0)\n", + "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from requests->igdb-api-v4) (2020.12.5)\n", + "Installing collected packages: protobuf, igdb-api-v4\n", + "Successfully installed igdb-api-v4-0.0.3 protobuf-3.17.3\n" + ] + } + ], + "source": [ + "!pip install igdb-api-v4" + ] + }, + { + "cell_type": "markdown", + "id": "c5a734dc", + "metadata": {}, + "source": [ + "### Twitch API" + ] + }, + { + "cell_type": "markdown", + "id": "cb56b254", + "metadata": {}, + "source": [ + "##### Twitch API Token Generator and Refresher" + ] + }, + { + "cell_type": "code", + "execution_count": 238, + "id": "4c97e697", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "New Token Generated and Activated. Well Done. Expiration in: 59 days.\n" + ] + } + ], + "source": [ + "\n", + "\n", + "Client_ID = '53pqt2rynymzr9990l1kq354c614kv'\n", + "\n", + "def token_refresher(Client_ID):\n", + " \n", + " generate_token = requests.post(url=f\"https://id.twitch.tv/oauth2/token?client_id={Client_ID}&client_secret=nbh6q4bbmywhi5stcqzl6ra0hrm8e2&grant_type=client_credentials\")\n", + " #print(generate_token.text) \n", + " # Client ID, Token \n", + " retrieval_token = generate_token.text # Str that has to be converted to dict to better access... NO RGEX YAHOOOO\n", + " \n", + " new = json.loads(retrieval_token) #Format already dict-like, this changes TYPE\n", + " \n", + " expires = round(new[\"expires_in\"]/86400)\n", + " new_token = new[\"access_token\"] # DICT, 1st key is access_token, value is TOKEN\n", + " \n", + " wrapper = IGDBWrapper(Client_ID, new_token) # Add new generated token to wrapper\n", + " \n", + " \n", + " return print(f\"New Token Generated and Activated. Well Done. Expiration in: {expires} days.\")\n", + "\n", + "token_refresher(Client_ID)\n", + "\n", + "\n", + "########## back up para hacerlo MANUAL\n", + "\n", + "#token = requests.post(url=\"https://id.twitch.tv/oauth2/token?client_id=53pqt2rynymzr9990l1kq354c614kv&client_secret=nbh6q4bbmywhi5stcqzl6ra0hrm8e2&grant_type=client_credentials\")\n", + "#print(token.text)\n", + "\n", + "#from igdb.wrapper import IGDBWrapper\n", + "#wrapper = IGDBWrapper(\"53pqt2rynymzr9990l1kq354c614kv\", \"broaw9tl5y4gp80s6vi257ms618rgl\")# Client ID, Token\n" + ] + }, + { + "cell_type": "code", + "execution_count": 342, + "id": "463cc719", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[{'category': 0,\n", + " 'cover': 43615,\n", + " 'genres': [{'id': 8, 'name': 'Platform'},\n", + " {'id': 9, 'name': 'Puzzle'},\n", + " {'id': 12, 'name': 'Role-playing (RPG)'},\n", + " {'id': 31, 'name': 'Adventure'},\n", + " {'id': 32, 'name': 'Indie'}],\n", + " 'id': 74857,\n", + " 'name': 'Transcend',\n", + " 'total_rating': 50.0,\n", + " 'url': 'https://www.igdb.com/games/transcend'},\n", + " {'category': 0,\n", + " 'genres': [{'id': 14, 'name': 'Sport'}, {'id': 33, 'name': 'Arcade'}],\n", + " 'id': 100789,\n", + " 'name': 'Flying Arrow!.',\n", + " 'total_rating': 34.16185,\n", + " 'url': 'https://www.igdb.com/games/flying-arrow--1'},\n", + " {'category': 0,\n", + " 'genres': [{'id': 12, 'name': 'Role-playing (RPG)'},\n", + " {'id': 31, 'name': 'Adventure'},\n", + " {'id': 32, 'name': 'Indie'}],\n", + " 'id': 35281,\n", + " 'name': 'Valiant: Resurrection',\n", + " 'total_rating': 60.0,\n", + " 'url': 'https://www.igdb.com/games/valiant-resurrection'},\n", + " {'category': 0,\n", + " 'cover': 157017,\n", + " 'genres': [{'id': 15, 'name': 'Strategy'}, {'id': 32, 'name': 'Indie'}],\n", + " 'id': 35124,\n", + " 'name': 'Mighty Switch Force! Hose It Down!',\n", + " 'total_rating': 70.0,\n", + " 'url': 'https://www.igdb.com/games/mighty-switch-force-hose-it-down'},\n", + " {'category': 0,\n", + " 'cover': 127321,\n", + " 'genres': [{'id': 5, 'name': 'Shooter'}, {'id': 31, 'name': 'Adventure'}],\n", + " 'id': 566,\n", + " 'name': 'Ghostbusters: The Video Game',\n", + " 'total_rating': 73.70494066999545,\n", + " 'url': 'https://www.igdb.com/games/ghostbusters-the-video-game'},\n", + " {'category': 0,\n", + " 'cover': 102591,\n", + " 'genres': [{'id': 9, 'name': 'Puzzle'},\n", + " {'id': 31, 'name': 'Adventure'},\n", + " {'id': 32, 'name': 'Indie'},\n", + " {'id': 33, 'name': 'Arcade'}],\n", + " 'id': 15462,\n", + " 'name': 'Spy Chameleon',\n", + " 'total_rating': 67.44190874619875,\n", + " 'url': 'https://www.igdb.com/games/spy-chameleon'},\n", + " {'category': 0,\n", + " 'cover': 93404,\n", + " 'genres': [{'id': 8, 'name': 'Platform'}, {'id': 31, 'name': 'Adventure'}],\n", + " 'id': 1750,\n", + " 'name': 'Mega Man Xtreme 2',\n", + " 'total_rating': 69.8016377864827,\n", + " 'url': 'https://www.igdb.com/games/mega-man-xtreme-2'},\n", + " {'category': 0,\n", + " 'cover': 83608,\n", + " 'genres': [{'id': 12, 'name': 'Role-playing (RPG)'},\n", + " {'id': 16, 'name': 'Turn-based strategy (TBS)'}],\n", + " 'id': 563,\n", + " 'name': 'Aion',\n", + " 'total_rating': 74.23270891989691,\n", + " 'url': 'https://www.igdb.com/games/aion'},\n", + " {'category': 0,\n", + " 'cover': 64469,\n", + " 'genres': [{'id': 15, 'name': 'Strategy'}],\n", + " 'id': 88911,\n", + " 'name': 'Bloons TD 5 HD',\n", + " 'total_rating': 90.0,\n", + " 'url': 'https://www.igdb.com/games/bloons-td-5-hd'},\n", + " {'category': 0,\n", + " 'cover': 22055,\n", + " 'genres': [{'id': 13, 'name': 'Simulator'},\n", + " {'id': 15, 'name': 'Strategy'},\n", + " {'id': 31, 'name': 'Adventure'}],\n", + " 'id': 28280,\n", + " 'name': 'MEGALOMANIAC',\n", + " 'total_rating': 70.0,\n", + " 'url': 'https://www.igdb.com/games/megalomaniac'}]\n" + ] + } + ], + "source": [ + "from igdb.igdbapi_pb2 import GameResult\n", + "import json\n", + "from ast import literal_eval\n", + "\n", + "byte_array = wrapper.api_request(\n", + " 'games', # Note the '.pb' suffix at the endpoint\n", + " 'fields id, name, genres.name, total_rating, url, cover, category; where rating != null; offset 1;') # where genre != null\n", + "\n", + "#byte_array\n", + "\n", + "my_json = byte_array.decode('utf8').replace(\"'\", '\"')\n", + "VG_genres = json.loads(my_json)\n", + "\n", + "\n", + "pprint.pprint(VG_genres)\n", + "\n", + "\n", + "#type(VG_genres[0])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 359, + "id": "dd5ec1af", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10" + ] + }, + "execution_count": 359, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(VG_genres)" + ] + }, + { + "cell_type": "code", + "execution_count": 357, + "id": "0ebc494d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Platform', 'Puzzle', 'Role-playing (RPG)', 'Adventure', 'Indie']" + ] + }, + "execution_count": 357, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "VG_genre_name = VG_genres[0][\"genres\"][0][\"name\"]\n", + "VG_genre_id = VG_genres[0][\"genres\"][0][\"id\"]\n", + "\n", + "VGlist_genre_name = []\n", + "VGlist_genre_id = []\n", + "\n", + "\n", + "for i in range(0, len(VG_genres[0][\"genres\"])):\n", + " VG_genre_name = VG_genres[0][\"genres\"][i][\"name\"]\n", + " VG_genre_id = VG_genres[0][\"genres\"][i][\"id\"]\n", + " VGlist_genre_name.append(VG_genre_name)\n", + " VGlist_genre_id.append(VG_genre_id)\n", + " \n", + " \n", + "VGlist_genre_name\n", + "VGlist_genre_id \n", + "# LISTS WITH JUST GENRE_ID AND GENRE_NAME FOR 1ST GAME" + ] + }, + { + "cell_type": "code", + "execution_count": 180, + "id": "b4ea1467", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'co3d5l'" + ] + }, + "execution_count": 180, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "VARIABLE_ID = 157017\n", + "\n", + "byte_array = wrapper.api_request(\n", + " 'covers', # Note the '.pb' suffix at the endpoint\n", + " f'fields id, height, width, game, url, image_id; where id = {VARIABLE_ID};') # where genre != null\n", + " \n", + "\n", + "\n", + "my_json = byte_array.decode('utf8').replace(\"'\", '\"')\n", + "data = json.loads(my_json)\n", + "#s = json.dumps(data, indent=4, sort_keys=True)\n", + "\n", + "\n", + "image_print_id = data[0]['image_id']\n", + "image_print_id\n", + "\n", + "#[{'id': 74857, ########\n", + "# 'category': 0,\n", + "# 'cover': 43615, ########\n", + "# 'genres': [{'id': 8, 'name': 'Platform'},\n", + "# {'id': 9, 'name': 'Puzzle'},\n", + "# {'id': 12, 'name': 'Role-playing (RPG)'},\n", + "# {'id': 31, 'name': 'Adventure'},\n", + "# {'id': 32, 'name': 'Indie'}],\n", + "# 'name': 'Transcend',\n", + "# 'total_rating': 50.0,\n", + "# 'url': 'https://www.igdb.com/games/transcend'}," + ] + }, + { + "cell_type": "markdown", + "id": "2540d390", + "metadata": {}, + "source": [ + "### BG ATLAS API" + ] + }, + { + "cell_type": "markdown", + "id": "a607d54e", + "metadata": {}, + "source": [ + "##### Link to API Documentation\n", + "\n", + "https://www.boardgameatlas.com/api/docs" + ] + }, + { + "cell_type": "markdown", + "id": "be8c295a", + "metadata": {}, + "source": [ + "#### Parameters selected to do clustering
\n", + "\n", + "\n", + "* mechanics\n", + "* categories \n", + "* average_learning_complexity\n", + "* average_strategy_complexity\n", + "\n", + "
\n", + "
\n", + " \n", + "\n", + "#### To show when recommendation is given
\n", + "\n", + "* image of BG\n", + "* rulers_url\n", + "* learning complexity # show as a bar chart 4ex, showing input and recommendation\n", + "* strategy complexity\n", + "* range of players\n", + "* msrp in €\n" + ] + }, + { + "cell_type": "markdown", + "id": "aa39e35d", + "metadata": {}, + "source": [ + "possible searches
\n", + "\n", + "* Woote to be sick\n", + "* Catan\n", + "* Secret Hitler" + ] + }, + { + "cell_type": "markdown", + "id": "030641d3", + "metadata": {}, + "source": [ + "#### 2 approaches to get data\n", + "\n", + "* _FULL REQUEST_ = 1 request that has it all -> sort it out in a single dict -> create df -> ML\n", + "\n", + "* _INDIVIDUAL REQUESTS_ = X requests for X parameters -> create dicts individually -> create df -> ML" + ] + }, + { + "cell_type": "markdown", + "id": "5bbb8511", + "metadata": {}, + "source": [ + "##### FULL REQUEST" + ] + }, + { + "cell_type": "code", + "execution_count": 472, + "id": "666d3efe", + "metadata": {}, + "outputs": [], + "source": [ + "# So many times I'm getting confused because of the type and length of stuff that I was thinking nothing was working so... Did this little function\n", + "\n", + "def tylen(x):\n", + " '''\n", + " Enter iterable object and it will give length and type.\n", + " Useful during certain processes.\n", + " '''\n", + " return len(x), type(x)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1678, + "id": "45d2a93e", + "metadata": {}, + "outputs": [], + "source": [ + "search_all = ''\n", + "\n", + "def BG_requester(search_all, limit, page):\n", + " \n", + " '''\n", + " Enter _page_ which is the amount of boardgames we will skip to iterate through it\n", + " \n", + " ''' \n", + " FULLREQ_bgatlas = requests.get(url = f'https://api.boardgameatlas.com/api/search?name={search_all}&client_id=U3E6STzUeQ&limit={limit}&skip={page}&fields=id,name,url,image_url,rules_url,price,msrp,min_players,max_players,mechanics,categories,average_learning_complexity,average_strategy_complexity,average_user_rating')\n", + " FULLREQ_databg = json.loads(FULLREQ_bgatlas.text)\n", + " \n", + " return FULLREQ_databg\n", + "\n", + "#efe_list = []\n", + "#efe_list2 = []\n", + "\n", + "#for request in range(0,990,30):\n", + "# efe = BG_requester(request)\n", + "# efe_list.append(efe)\n", + " \n", + "#for request in range(990,1010,30):\n", + "# efe2 = BG_requester(request)\n", + "# efe_list2.append(efe2) \n", + " \n", + "\n", + "#len(efe_list) # gives the amount of lists that have 30 list inside them, each one 1 dict for each BG (13 values in the dict describing BG)\n", + "\n", + "#tylen(efe_list[0][\"games\"][1])\n", + "\n", + "#len(efe_list[1][\"games\"])\n", + "\n", + "#efe_list[0][\"games\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 723, + "id": "d9113bc4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'error': {'message': \"Error: Skip amount succeed maximum. Narrow the search parameters to find what you're looking for.\"}}" + ] + }, + "execution_count": 723, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"emaaaaaa try with narrowing down parameters, get just the id or name or something\" -> DOESNT WORK\n", + "\n", + "#BG_requester(1000)#[\"games\"]#[29][\"name\"] \n", + "\n", + "pagetest = 1001\n", + "\n", + "FULLREQ_bgatlas = requests.get(url = f'https://api.boardgameatlas.com/api/search?name={search_all}&client_id=U3E6STzUeQ&limit=30&skip={pagetest}&fields=id')\n", + "FULLREQ_databg = json.loads(FULLREQ_bgatlas.text)\n", + "FULLREQ_databg" + ] + }, + { + "cell_type": "code", + "execution_count": 751, + "id": "917878b1", + "metadata": {}, + "outputs": [], + "source": [ + "tylen(efe_list)\n", + "\n", + "efe_list2 # = last and smaller list with BG data\n", + "\n", + "\n", + "#id,name,url,image_url,price,msrp,min_players,max_players,mechanics,categories,average_learning_complex,average_strategy_complexity,average_user_rating'\n", + "BG_id = []\n", + "BG_name = []\n", + "BG_url = []\n", + "BG_image_url = []\n", + "BG_price = []\n", + "BG_msrp = []\n", + "BG_min_players = []\n", + "BG_max_players = []\n", + "BG_mechanics = []\n", + "BG_categories = []\n", + "BG_avg_learning = []\n", + "BG_avg_strategy = []\n", + "BG_avg_rating = []\n", + "\n", + "\n", + "#def masterlister():\n", + "#for e in range(0, len(efe_list)): \n", + "for i in range(0, len(efe_list2[0][\"games\"])):\n", + " \n", + " e = 0\n", + " \n", + " id_values = efe_list2[e][\"games\"][i][\"id\"]\n", + " BG_id.append(id_values)\n", + "\n", + " name_values = efe_list2[e][\"games\"][i][\"name\"]\n", + " BG_name.append(name_values)\n", + "\n", + " url_values = efe_list2[e][\"games\"][i][\"url\"]\n", + " BG_url.append(url_values)\n", + "\n", + " image_values = efe_list2[e][\"games\"][i][\"image_url\"]\n", + " BG_image_url.append(image_values)\n", + "\n", + " price_values = efe_list2[e][\"games\"][i][\"price\"]\n", + " BG_price.append(price_values)\n", + "\n", + " msrp_values = efe_list2[e][\"games\"][i][\"msrp\"]\n", + " BG_msrp.append(msrp_values)\n", + "\n", + " minp_values = efe_list2[e][\"games\"][i][\"min_players\"]\n", + " BG_min_players.append(minp_values)\n", + "\n", + " maxp_values = efe_list2[e][\"games\"][i][\"max_players\"]\n", + " BG_max_players.append(maxp_values)\n", + "\n", + " mechanics_values = efe_list2[e][\"games\"][i][\"mechanics\"]\n", + " BG_mechanics.append(mechanics_values)\n", + "\n", + " categories_values = efe_list2[e][\"games\"][i][\"categories\"]\n", + " BG_categories.append(categories_values)\n", + "\n", + " avgrat_values = efe_list2[e][\"games\"][i][\"average_user_rating\"]\n", + " BG_avg_rating.append(avgrat_values)\n", + "\n", + " avglearn_values = efe_list2[e][\"games\"][i][\"average_learning_complexity\"]\n", + " BG_avg_learning.append(avglearn_values)\n", + "\n", + " avgstrat_values = efe_list2[e][\"games\"][i][\"average_strategy_complexity\"]\n", + " BG_avg_strategy.append(avgstrat_values)\n", + " \n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1228, + "id": "af045e0d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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BG_IDBG_NameBG_urlBG_image_urlBG_priceBG_msrpBG_min_playersBG_max_playersBG_mechanicsBG_categoriesBG_avg_learningBG_avg_strategyBG_avg_rating
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1qtQW5EIDA7Wizardhttps://www.boardgameatlas.com/game/qtQW5EIDA7/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254873443-515w8FbQQEL.jpg6.990.003.06.0[][{'id': 'Card Game'}]0.00.03.178571
2xObxcMZKmGFury of Dracula (Second Edition)https://www.boardgameatlas.com/game/xObxcMZKmG/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257964349-51RNAcH1e2L.jpg0.0059.992.05.0[{'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Partnerships', 'url': 'https://www.boardga...[]0.00.03.339623
3MsbVN5K82MThe Speicherstadthttps://www.boardgameatlas.com/game/MsbVN5K82M/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257478395-51sF5a3E83L.jpg0.000.002.05.0[{'id': 'Set Collection', 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'}][]0.00.03.500000
45sCQz6J5SuShadowrun: Crossfirehttps://www.boardgameatlas.com/game/5sCQz6J5Su/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257230731-61UWaQg4SyL.jpg0.0042.991.04.0[{'id': 'Cooperative Play', 'url': 'https://www.boardgameatlas.com/mechanic/9mNukNBxfZ/undefined'}, {'id': 'Deck Building', 'url': 'https://www.bo...[{'id': 'Adventure'}, {'id': 'Card Game'}, {'id': 'Sci-Fi'}]0.00.03.471591
5UvkwUJB3KGBalloon Cuphttps://www.boardgameatlas.com/game/UvkwUJB3KG/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257614832-510FTQK6P3L.jpg161.900.002.02.0[{'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Set Collection', 'url': 'https://www.bo...[]0.00.03.254545
6XO7CMpqYELGold Westhttps://www.boardgameatlas.com/game/XO7CMpqYEL/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/154118133969540.9959.952.02.0[{'id': 'Area Control', 'url': 'https://www.boardgameatlas.com/mechanic/05zCZoLvQJ/undefined'}, {'id': 'Area Majority/ Influence', 'url': 'https:/...[{'id': 'American West'}, {'id': 'Economic'}, {'id': 'Territory Building'}]0.00.03.861111
7JBQPZrO0yCA Study in Emeraldhttps://www.boardgameatlas.com/game/JBQPZrO0yC/https://s3-us-west-1.amazonaws.com/5cc.images/games/empty+box.jpg0.000.002.05.0[][]0.00.03.541667
8XxdwW5tFt6Pictionaryhttps://www.boardgameatlas.com/game/XxdwW5tFt6/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257651311-51eoluF9DcL.jpg16.990.003.016.0[{'id': 'Line Drawing', 'url': 'https://www.boardgameatlas.com/mechanic/MaXzmoZUoX/undefined'}, {'id': 'Partnerships', 'url': 'https://www.boardga...[]0.00.02.670732
98MTPmiTvzMLords of Xidithttps://www.boardgameatlas.com/game/8MTPmiTvzM/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257253081-61U2BT0GhpLL.jpg109.990.003.05.0[{'id': 'Action / Movement Programming', 'url': 'https://www.boardgameatlas.com/mechanic/PGjmKGi26h/undefined'}, {'id': 'Pick-up and Deliver', 'ur...[]0.00.03.258182
10f0rgeASPEVPan Amhttps://www.boardgameatlas.com/game/f0rgeASPEV/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/160743811907322.800.002.04.0[{'id': 'Stock Holding', 'url': 'https://www.boardgameatlas.com/mechanic/jbLrZb1xIb/undefined'}, {'id': 'Worker Placement', 'url': 'https://www.bo...[{'id': 'Aviation'}]3.03.04.081818
11ZWyflOVOmpCubahttps://www.boardgameatlas.com/game/ZWyflOVOmp/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257679131-510vEyb6r0L.jpg0.000.002.05.0[{'id': 'Auction', 'url': 'https://www.boardgameatlas.com/mechanic/AZxlPpi5oq/undefined'}, {'id': 'Hand Management', 'url': 'https://www.boardgame...[{'id': 'Economic'}, {'id': 'Farming'}]0.00.03.210526
122LJTEmU5LYBob Ross the Art of Chillhttps://www.boardgameatlas.com/game/2LJTEmU5LY/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257192398-61t3zIwFTGL.jpg24.990.002.04.0[{'id': 'Action Point Allowance System', 'url': 'https://www.boardgameatlas.com/mechanic/oeg6wN9Eoc/undefined'}, {'id': 'Card Drafting', 'url': 'h...[]3.02.03.361702
13TYyEbcNd7fDrop Ithttps://www.boardgameatlas.com/game/TYyEbcNd7f/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/154091259038120.9929.952.04.0[][]1.51.53.579070
140qYNCZ9q4YTicket to Ride: Switzerlandhttps://www.boardgameatlas.com/game/0qYNCZ9q4Y/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/15451597907490.000.002.03.0[][{'id': 'Expansion'}]0.00.03.754757
15W7D9G6rFzgCutthroat Cavernshttps://www.boardgameatlas.com/game/W7D9G6rFzg/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257847539-51AkUGe2BXFL.jpg39.9934.953.06.0[{'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Player Elimination', 'url': 'https://ww...[]0.00.03.142857
16dBHC9ko1MHRunebound: Second Editionhttps://www.boardgameatlas.com/game/dBHC9ko1MH/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257702864-518kiOrQJ4L.jpg0.000.002.06.0[{'id': 'Area Movement', 'url': 'https://www.boardgameatlas.com/mechanic/bgGxE0pI2B/undefined'}, {'id': 'Card Drafting', 'url': 'https://www.board...[]3.02.03.479167
17nHxrBJpRCeBlood Rage: 5th Player Expansionhttps://www.boardgameatlas.com/game/nHxrBJpRCe/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559255824773-51qR-gasLzL.jpg23.9929.992.05.0[{'id': 'Area Control', 'url': 'https://www.boardgameatlas.com/mechanic/05zCZoLvQJ/undefined'}, {'id': 'Card Drafting', 'url': 'https://www.boardg...[{'id': 'Expansion'}]0.00.03.933333
18SANKtVMPjzKitchen Rushhttps://www.boardgameatlas.com/game/SANKtVMPjz/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254965994-61Sqnp08WWL.jpg50.6269.951.04.0[{'id': 'Cooperative Play', 'url': 'https://www.boardgameatlas.com/mechanic/9mNukNBxfZ/undefined'}, {'id': 'Worker Placement', 'url': 'https://www...[]0.00.03.500000
195s6aCsfV96Space Cadets: Dice Duelhttps://www.boardgameatlas.com/game/5s6aCsfV96/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257228987-51wKvkITbEL.jpg92.520.004.08.0[{'id': 'Action / Movement Programming', 'url': 'https://www.boardgameatlas.com/mechanic/PGjmKGi26h/undefined'}, {'id': 'Dice Rolling', 'url': 'ht...[]0.00.03.268182
20S8a0bwsOJrGood Cop Bad Cophttps://www.boardgameatlas.com/game/S8a0bwsOJr/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559256520491-515zmHPdGKL.jpg17.9514.494.08.0[{'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Memory', 'url': 'https://www.boardgamea...[]0.00.03.026455
21RG6FDNVkRNLove Letter (2019 Edition)https://www.boardgameatlas.com/game/RG6FDNVkRN/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/15605770548609.990.002.06.0[{'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Player Elimination', 'url': 'https://ww...[{'id': 'Card Game'}]0.00.04.141667
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[] 0.0 0.0 3.339623\n", + "3 MsbVN5K82M The Speicherstadt https://www.boardgameatlas.com/game/MsbVN5K82M/ https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257478395-51sF5a3E83L.jpg 0.00 0.00 2.0 5.0 [{'id': 'Set Collection', 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'}] [] 0.0 0.0 3.500000\n", + "4 5sCQz6J5Su Shadowrun: Crossfire https://www.boardgameatlas.com/game/5sCQz6J5Su/ https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257230731-61UWaQg4SyL.jpg 0.00 42.99 1.0 4.0 [{'id': 'Cooperative Play', 'url': 'https://www.boardgameatlas.com/mechanic/9mNukNBxfZ/undefined'}, {'id': 'Deck Building', 'url': 'https://www.bo... 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" + ], + "text/plain": [ + " BG_ID BG_Name BG_url BG_image_url BG_price BG_msrp BG_min_players BG_max_players BG_mechanics BG_categories BG_avg_learning BG_avg_strategy BG_avg_rating\n", + "328 dFC1lnGINr Cards Against Humanity https://www.boardgameatlas.com/game/dFC1lnGINr/ https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257709006-41mECnRToeL.jpg 25.00 0.00 4.0 30.0 [{'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Simultaneous Play', 'url': 'https://www... [{'id': 'Card Game'}, {'id': 'Party Game'}] 1.0 1.0 2.499546" + ] + }, + "execution_count": 1233, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#test_dict = pd.DataFrame(list(zip(BG_id, BG_name,BG_url, BG_image_url, BG_price, BG_msrp, BG_min_players, BG_max_players, BG_mechanics, BG_categories, BG_avg_learning, BG_avg_strategy, BG_avg_rating)),columns =['BG_ID', 'BG_Name', 'BG_url', 'BG_image_url', 'BG_price', 'BG_msrp','BG_min_players', 'BG_max_players', 'BG_mechanics', 'BG_categories', 'BG_avg_learning', 'BG_avg_strategy', 'BG_avg_rating'])\n", + "\n", + "#BG_1st_dict = test_dict.copy()\n", + "\n", + "BG_1st_dict_df = BG_1st_dict\n", + "\n", + "BG_1st_dict_df[BG_1st_dict_df[\"BG_Name\"] == 'Cards Against Humanity']\n", + "\n", + "#BG_requester(\"Cards against humanity\", 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 615, + "id": "acd0a285", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[990]" + ] + }, + "execution_count": 615, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "BG_id = []\n", + "BG_name = []\n", + "BG_url = []\n", + "BG_image_url = []\n", + "BG_price = []\n", + "BG_msrp = []\n", + "BG_min_players = []\n", + "BG_max_players = []\n", + "BG_mechanics = []\n", + "BG_categories = []\n", + "BG_avg_learning = []\n", + "BG_avg_strategy = []\n", + "BG_avg_rating = []\n", + "\n", + "for e in range(0, len(efe_list)): \n", + " for i in range(0, len(efe_list[0][\"games\"])):\n", + "\n", + " id_values = efe_list[e][\"games\"][i][\"id\"]\n", + " BG_id.append(id_values)\n", + "\n", + " name_values = efe_list[e][\"games\"][i][\"name\"]\n", + " BG_name.append(name_values)\n", + "\n", + " url_values = efe_list[e][\"games\"][i][\"url\"]\n", + " BG_url.append(url_values)\n", + "\n", + " image_values = efe_list[e][\"games\"][i][\"image_url\"]\n", + " BG_image_url.append(image_values)\n", + "\n", + " price_values = efe_list[e][\"games\"][i][\"price\"]\n", + " BG_price.append(price_values)\n", + "\n", + " msrp_values = efe_list[e][\"games\"][i][\"msrp\"]\n", + " BG_msrp.append(msrp_values)\n", + "\n", + " minp_values = efe_list[e][\"games\"][i][\"min_players\"]\n", + " BG_min_players.append(minp_values)\n", + "\n", + " maxp_values = efe_list[e][\"games\"][i][\"max_players\"]\n", + " BG_max_players.append(maxp_values)\n", + "\n", + " mechanics_values = efe_list[e][\"games\"][i][\"mechanics\"]\n", + " BG_mechanics.append(mechanics_values)\n", + "\n", + " categories_values = efe_list[e][\"games\"][i][\"categories\"]\n", + " BG_categories.append(categories_values)\n", + "\n", + " avgrat_values = efe_list[e][\"games\"][i][\"average_user_rating\"]\n", + " BG_avg_rating.append(avgrat_values)\n", + "\n", + " avglearn_values = efe_list[e][\"games\"][i][\"average_learning_complexity\"]\n", + " BG_avg_learning.append(avglearn_values)\n", + "\n", + " avgstrat_values = efe_list[e][\"games\"][i][\"average_strategy_complexity\"]\n", + " BG_avg_strategy.append(avgstrat_values)\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1068, + "id": "dce553ab", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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indexBG_IDBG_NameBG_urlBG_image_urlBG_priceBG_msrpBG_min_playersBG_max_playersBG_mechanicsBG_categoriesBG_avg_learningBG_avg_strategyBG_avg_rating
546546UPodZGkoS0Macaohttps://www.boardgameatlas.com/game/UPodZGkoS0/https://s3-us-west-1.amazonaws.com/5cc.images/...0.000.00NaNNaN[][]0.00.03.598684
5885888pL1hViz7AThebeshttps://www.boardgameatlas.com/game/8pL1hViz7A/https://s3-us-west-1.amazonaws.com/5cc.images/...49.220.00NaNNaN[][]0.00.03.576667
604604b7bEB3nRevClaustrophobiahttps://www.boardgameatlas.com/game/b7bEB3nRev/https://s3-us-west-1.amazonaws.com/5cc.images/...229.990.00NaNNaN[][]0.00.03.591549
613613EHIBhxHOTUVikingshttps://www.boardgameatlas.com/game/EHIBhxHOTU/https://s3-us-west-1.amazonaws.com/5cc.images/...92.850.00NaNNaN[][]0.00.03.585333
814814nDHAM5B2sPDominion: Cornucopiahttps://www.boardgameatlas.com/game/nDHAM5B2sP/https://s3-us-west-1.amazonaws.com/5cc.images/...0.000.00NaNNaN[{'id': 'Card Drafting', 'url': 'https://www.b...[{'id': 'Card Game'}, {'id': 'Medieval'}]0.00.03.726250
882882TH8zODkr1aKingsburg: To Forge A Realm Expansionhttps://www.boardgameatlas.com/game/TH8zODkr1a/https://s3-us-west-1.amazonaws.com/5cc.images/...0.000.00NaNNaN[][{'id': 'Expansion'}]0.00.03.847826
960960jqer4AvMyCMancalahttps://www.boardgameatlas.com/game/jqer4AvMyC/https://s3-us-west-1.amazonaws.com/5cc.images/...10.950.00NaNNaN[][]2.03.02.892857
101727tCK83GOZxKLord of The Rings Expansion : Friends & Foeshttps://www.boardgameatlas.com/game/tCK83GOZxK/https://s3-us-west-1.amazonaws.com/5cc.images/...0.000.00NaNNaN[][{'id': '[]'}]0.00.03.400000
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" + ], + "text/plain": [ + " index BG_ID BG_Name \\\n", + "546 546 UPodZGkoS0 Macao \n", + "588 588 8pL1hViz7A Thebes \n", + "604 604 b7bEB3nRev Claustrophobia \n", + "613 613 EHIBhxHOTU Vikings \n", + "814 814 nDHAM5B2sP Dominion: Cornucopia \n", + "882 882 TH8zODkr1a Kingsburg: To Forge A Realm Expansion \n", + "960 960 jqer4AvMyC Mancala \n", + "1017 27 tCK83GOZxK Lord of The Rings Expansion : Friends & Foes \n", + "\n", + " BG_url \\\n", + "546 https://www.boardgameatlas.com/game/UPodZGkoS0/ \n", + "588 https://www.boardgameatlas.com/game/8pL1hViz7A/ \n", + "604 https://www.boardgameatlas.com/game/b7bEB3nRev/ \n", + "613 https://www.boardgameatlas.com/game/EHIBhxHOTU/ \n", + "814 https://www.boardgameatlas.com/game/nDHAM5B2sP/ \n", + "882 https://www.boardgameatlas.com/game/TH8zODkr1a/ \n", + "960 https://www.boardgameatlas.com/game/jqer4AvMyC/ \n", + "1017 https://www.boardgameatlas.com/game/tCK83GOZxK/ \n", + "\n", + " BG_image_url BG_price BG_msrp \\\n", + "546 https://s3-us-west-1.amazonaws.com/5cc.images/... 0.00 0.00 \n", + "588 https://s3-us-west-1.amazonaws.com/5cc.images/... 49.22 0.00 \n", + "604 https://s3-us-west-1.amazonaws.com/5cc.images/... 229.99 0.00 \n", + "613 https://s3-us-west-1.amazonaws.com/5cc.images/... 92.85 0.00 \n", + "814 https://s3-us-west-1.amazonaws.com/5cc.images/... 0.00 0.00 \n", + "882 https://s3-us-west-1.amazonaws.com/5cc.images/... 0.00 0.00 \n", + "960 https://s3-us-west-1.amazonaws.com/5cc.images/... 10.95 0.00 \n", + "1017 https://s3-us-west-1.amazonaws.com/5cc.images/... 0.00 0.00 \n", + "\n", + " BG_min_players BG_max_players \\\n", + "546 NaN NaN \n", + "588 NaN NaN \n", + "604 NaN NaN \n", + "613 NaN NaN \n", + "814 NaN NaN \n", + "882 NaN NaN \n", + "960 NaN NaN \n", + "1017 NaN NaN \n", + "\n", + " BG_mechanics \\\n", + "546 [] \n", + "588 [] \n", + "604 [] \n", + "613 [] \n", + "814 [{'id': 'Card Drafting', 'url': 'https://www.b... \n", + "882 [] \n", + "960 [] \n", + "1017 [] \n", + "\n", + " BG_categories BG_avg_learning \\\n", + "546 [] 0.0 \n", + "588 [] 0.0 \n", + "604 [] 0.0 \n", + "613 [] 0.0 \n", + "814 [{'id': 'Card Game'}, {'id': 'Medieval'}] 0.0 \n", + "882 [{'id': 'Expansion'}] 0.0 \n", + "960 [] 2.0 \n", + "1017 [{'id': '[]'}] 0.0 \n", + "\n", + " BG_avg_strategy BG_avg_rating \n", + "546 0.0 3.598684 \n", + "588 0.0 3.576667 \n", + "604 0.0 3.591549 \n", + "613 0.0 3.585333 \n", + "814 0.0 3.726250 \n", + "882 0.0 3.847826 \n", + "960 3.0 2.892857 \n", + "1017 0.0 3.400000 " + ] + }, + "execution_count": 1069, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#df_fullBG_ML[df_fullBG_ML['BG_ID'] == 'ZTneo8TaIO']\n", + "\n", + "\n", + "#df_fullBG_ML.iloc[1015]\n", + "\n", + "df_fullBG_ML[df_fullBG_ML['BG_max_players'].isna()]" + ] + }, + { + "cell_type": "markdown", + "id": "ade58aaa", + "metadata": {}, + "source": [ + "### SELECTION TO TRAIN ML" + ] + }, + { + "cell_type": "code", + "execution_count": 825, + "id": "ca457729", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+ "1015 [] 0.000000 \n", + "1016 [{'id': 'v4SfYtS2Lr', 'url': 'https://www.boar... 0.000000 \n", + "1017 [{'id': '[]', 'url': 'https://www.boardgameatl... 0.000000 \n", + "1018 [] 0.000000 \n", + "1019 [{'id': 'mavSOM8vjH', 'url': 'https://www.boar... 0.000000 \n", + "\n", + " BG_avg_strategy \n", + "0 3.666667 \n", + "1 3.266667 \n", + "2 2.818182 \n", + "3 3.666667 \n", + "4 3.333333 \n", + "... ... \n", + "1015 0.000000 \n", + "1016 0.000000 \n", + "1017 0.000000 \n", + "1018 0.000000 \n", + "1019 0.000000 \n", + "\n", + "[1020 rows x 4 columns]" + ] + }, + "execution_count": 825, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_fullBG = pd.concat([BG_1st_dict_df,BG_2nd_dict_df]) #ignore_index = True\n", + "\n", + "df_fullBG_ML = df_fullBG.reset_index()\n", + "\n", + "df_fullBG_ML_SELECTION = df_fullBG_ML[['BG_mechanics', 'BG_categories', 'BG_avg_learning', 'BG_avg_strategy']]\n", + "\n", + "swapping_dict_cat_df = df_fullBG_ML_SELECTION.copy()\n", + "\n", + "swapping_dict_cat_df" + ] + }, + { + "cell_type": "markdown", + "id": "29a1be42", + "metadata": {}, + "source": [ + "#### Changing id_values of [Bg_Categories] for the name of said category" + ] + }, + { + "cell_type": "code", + "execution_count": 1020, + "id": "490b6ad2", + "metadata": {}, + "outputs": [], + "source": [ + "swapping_dict_cat_df['BG_categories'].apply(lambda x: [v for j in x for v in j.values()])" + ] + }, + { + "cell_type": "code", + "execution_count": 869, + "id": "cb06cf81", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[['Abstract', 'Adventure', 'Animals', 'Asymmetric'],\n", + " ['4x',\n", + " 'Alternate History',\n", + " 'Asymmetric',\n", + " 'Resource Management',\n", + " 'Sci-Fi',\n", + " 'Steampunk',\n", + " 'Territory Building'],\n", + " ['Animals', 'Card Game', 'Dice', 'Resource Management'],\n", + " ['Adventure', 'Fantasy'],\n", + " ['Resource Management', 'Sci-Fi', 'Solo / Solitaire'],\n", + " ['Abstract'],\n", + " ['Medical'],\n", + " ['Economic', 'Farming'],\n", + " ['Alternate History',\n", + " 'Environmental',\n", + " 'Fantasy',\n", + " 'Fighting',\n", + " 'Mythology',\n", + " 'Renaissance',\n", + " 'Territory Building'],\n", + " ['Ancient', 'Card Game', 'City Building'],\n", + " ['Ancient', 'Card Game', 'Civilization'],\n", + " ['Card Game',\n", + " 'Cooperative',\n", + " 'Deduction',\n", + " 'Family Game',\n", + " 'Party Game',\n", + " 'Word Game'],\n", + " ['City Building', 'Family Game', 'Medieval'],\n", + " ['h8wfZG0j3I', 'Medieval', 'O0ogzwLUe8', 'Territory Building'],\n", + " ['Card Game', 'Economic', 'Resource Management'],\n", + " ['Cooperative', 'Legacy', 'Medical'],\n", + " ['h8wfZG0j3I', 'Trains'],\n", + " ['Ancient', 'Roman Empire'],\n", + " ['Animals', 'Card Game', 'City Building', 'Fantasy'],\n", + " ['Economic'],\n", + " ['Dice', 'Economic', 'Family Game', 'Negotiation'],\n", + " ['Abstract'],\n", + " ['Abstract', 'Mythology'],\n", + " ['Medieval'],\n", + " ['Card Game', 'Sci-Fi'],\n", + " ['Arabian', 'Card Game', 'Economic'],\n", + " ['American West'],\n", + " ['City Building', 'Fantasy'],\n", + " ['Fighting', 'Sci-Fi'],\n", + " ['City Building', 'Fantasy', 'Medieval', 'Territory Building'],\n", + " ['Card Game'],\n", + " ['City Building', 'Medieval'],\n", + " ['Adventure', 'Fantasy', 'Racing'],\n", + " ['City Building', 'Economic', 'Farming'],\n", + " ['Fantasy', 'Fighting', 'Mythology'],\n", + " ['Animals', 'Fantasy', 'Mythology'],\n", + " ['Medieval', 'Religious', 'Travel'],\n", + " ['Fantasy', 'Fighting', 'Territory Building'],\n", + " ['Economic', 'Farming'],\n", + " ['Adventure', 'Fantasy'],\n", + " ['Ancient', 'Civilization', 'Economic', 'Farming', 'Mythology'],\n", + " ['City Building'],\n", + " ['Dice', 'Family Game', 'Puzzle'],\n", + " [],\n", + " ['Asymmetric', 'Fighting', 'Movies / TV / Radio theme', 'Sci-Fi'],\n", + " ['Adventure',\n", + " 'Card Game',\n", + " 'Cooperative',\n", + " 'Fantasy',\n", + " 'Horror',\n", + " 'Solo / Solitaire'],\n", + " ['Apocalyptic', 'Bluffing', 'Deduction', 'Horror', 'Zombies'],\n", + " ['Card Game', 'Food'],\n", + " ['Trains'],\n", + " ['Adventure', 'Exploration', 'Novel-based', 'Resource Management'],\n", + " ['Card Game', 'Exploration'],\n", + " ['Medieval'],\n", + " ['Card Game', 'Family Game', 'Party Game'],\n", + " ['Expansion'],\n", + " ['Ancient', 'Card Game', 'Mythology'],\n", + " ['Medieval'],\n", + " ['Economic', 'Medieval'],\n", + " ['Civilization', 'Dice', 'Economic', 'Exploration', 'Sci-Fi'],\n", + " ['Political'],\n", + " ['Abstract', 'Card Game', 'Humor', 'Party Game'],\n", + " ['Economic', 'Fantasy'],\n", + " ['Bluffing', 'Card Game', 'Deduction', 'Political'],\n", + " ['Ancient'],\n", + " ['Bluffing', 'Negotiation', 'Sci-Fi'],\n", + " ['Card Game', 'Deduction'],\n", + " ['Animals', 'Farming', 'Plants/Gardening'],\n", + " ['Economic',\n", + " 'Educational',\n", + " 'Negotiation',\n", + " 'Political',\n", + " 'Post-Napoleonic',\n", + " 'Spies/Secret Agents'],\n", + " ['Economic', 'Sci-Fi', 'Territory Building'],\n", + " ['Bluffing', 'Card Game', 'Deduction', 'Negotiation', 'Party Game', 'Sci-Fi'],\n", + " ['Card Game', 'Medieval'],\n", + " ['Adventure', 'Cooperative', 'Fantasy', 'Sci-Fi'],\n", + " ['Deduction', 'Party Game'],\n", + " ['Card Game', 'Space Exploration'],\n", + " ['Bluffing', 'Card Game', 'Humor', 'Medieval', 'Negotiation', 'Party Game'],\n", + " ['Animals', 'Farming', 'Resource Management'],\n", + " ['Economic'],\n", + " ['Card Game', 'City Building', 'Dice'],\n", + " ['Card Game', 'Medieval'],\n", + " ['Adventure', 'Horror'],\n", + " ['Fantasy', 'Movies / TV / Radio theme', 'Sci-Fi', 'Wargame'],\n", + " ['Animals', 'Economic', 'Farming'],\n", + " ['Adventure', 'Fantasy', 'Fighting', 'Medieval', 'Mythology'],\n", + " ['Economic', 'Farming'],\n", + " ['Ancient'],\n", + " ['Adventure', 'Exploration', 'Fantasy', 'Fighting', 'RPG'],\n", + " ['5J6M28LoWA', 'Economic', 'Industry/Manufacturing', 'NCHErDO8JK'],\n", + " ['City Building', 'Medieval'],\n", + " ['Card Game', 'Economic', 'Medieval'],\n", + " ['Economic', 'Territory Building'],\n", + " ['Card Game'],\n", + " ['City Building', 'Economic'],\n", + " ['Card Game', 'Collectible Components'],\n", + " ['Cooperative', 'Fantasy', 'Horror', 'Sci-Fi', 'Solo / Solitaire'],\n", + " ['Adventure',\n", + " 'Cooperative',\n", + " 'Exploration',\n", + " 'Fantasy',\n", + " 'Fighting',\n", + " 'Solo / Solitaire'],\n", + " ['Adventure', 'Racing'],\n", + " ['Card Game', 'Economic'],\n", + " ['City Building', 'Economic'],\n", + " ['Card Game', 'Plants/Gardening'],\n", + " ['Bluffing', 'Deduction', 'Murder/Mystery', 'Party Game'],\n", + " ['Ancient'],\n", + " ['Ancient', 'Resource Management'],\n", + " ['Economic', 'Territory Building'],\n", + " ['Humor', 'Puzzle', 'Sci-Fi', 'Transportation'],\n", + " ['Dice', 'Economic', 'Medieval'],\n", + " ['Card Game', 'Farming', 'Negotiation'],\n", + " ['Adventure', 'Environmental', 'Travel'],\n", + " ['Puzzle'],\n", + " ['Expansion'],\n", + " ['Abstract', 'Animals'],\n", + " ['Dice', 'Economic', 'Medieval'],\n", + " ['Bluffing', 'Card Game', 'Deduction', 'Fantasy', 'Medieval', 'Party Game'],\n", + " ['Dice', 'Sci-Fi', 'Space Exploration'],\n", + " ['Animals', 'City Building'],\n", + " ['Adventure', 'Fantasy', 'Fighting', 'Horror'],\n", + " ['Expansion'],\n", + " ['Card Game', 'Civilization', 'Economic'],\n", + " ['Expansion'],\n", + " ['Cooperative', 'Party Game'],\n", + " ['Bluffing', 'Card Game', 'Deduction', 'Party Game', 'Werewolves'],\n", + " ['Civilization'],\n", + " ['Economic'],\n", + " ['Adventure', 'Card Game', 'Exploration', 'Sci-Fi'],\n", + " ['Deduction', 'Fighting', 'Nautical', 'Puzzle'],\n", + " ['Dice', 'Fantasy', 'Medieval'],\n", + " ['Bluffing', 'Card Game'],\n", + " ['Fantasy', 'Territory Building'],\n", + " ['Bluffing', 'Cyberpunk', 'Sci-Fi'],\n", + " ['Bluffing', 'Deduction', 'Miniatures', 'Political', 'Sci-Fi'],\n", + " ['Dinosaurs', 'Economic', 'Sci-Fi'],\n", + " ['Card Game', 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/ Strip'],\n", + " ['Economic'],\n", + " ['American West', 'Bluffing', 'Deduction', 'Fighting', 'Party Game'],\n", + " ['Ancient', 'Card Game', 'City Building', 'Civilization'],\n", + " ['Adventure'],\n", + " ['Wargame'],\n", + " ['Dice'],\n", + " ['Bluffing', 'Fantasy', 'Medieval', 'Miniatures', 'Negotiation'],\n", + " ['Card Game', 'Economic', 'Fantasy'],\n", + " ['Campaign',\n", + " 'Cooperative',\n", + " 'Dungeon Crawl',\n", + " 'Fantasy',\n", + " 'Humor',\n", + " 'Miniatures'],\n", + " ['Adventure', 'Mature / Adult', 'Puzzle', 'Sci-Fi'],\n", + " ['Cooperative',\n", + " 'Deduction',\n", + " 'Murder/Mystery',\n", + " 'Novel-based',\n", + " 'Puzzle',\n", + " 'Real-time'],\n", + " ['Expansion', 'Farming'],\n", + " ['Adventure', 'Dice', 'Fantasy', 'RPG'],\n", + " ['Travel'],\n", + " ['Animals', 'Puzzle'],\n", + " [],\n", + " ['American West'],\n", + " ['4x', 'Civilization', 'Fighting', 'Sci-Fi'],\n", + " [],\n", + " ['Card Game', 'Civilization'],\n", + " ['Adventure', 'Animals', 'Nautical'],\n", + " ['City Building', 'Economic', 'Medieval'],\n", + " ['Horror', 'Miniatures', 'Movies / TV / Radio theme'],\n", + " ['Fantasy'],\n", + " ['Ancient', 'Dice', 'Fantasy', 'Mythology'],\n", + " ['Family Game'],\n", + " ['Card Game', 'Fantasy'],\n", + " ['Card Game', 'Espionage', 'Party Game'],\n", + " ['Card Game', 'Fantasy', 'Sci-Fi'],\n", + " [],\n", + " ['Economic'],\n", + " [],\n", + " ['Adventure', 'Horror', 'Miniatures', 'Sci-Fi'],\n", + " [],\n", + " ['Card Game', 'Fantasy', 'Humor', 'Pirates', 'Sci-Fi', 'Zombies'],\n", + " ['Cooperative', 'Fantasy', 'Medieval', 'Miniatures'],\n", + " ['Sci-Fi'],\n", + " ['Card Game', 'Collectible Components', 'Comic Book / Strip'],\n", + " ['Adventure', 'Deduction', 'Murder/Mystery'],\n", + " ['Exploration', 'Fantasy'],\n", + " ['Card Game', 'World War I'],\n", + " ['Ancient', 'Political'],\n", + " ['Bluffing', 'Card Game', 'City Building', 'Medieval'],\n", + " ['Farming', 'Medieval'],\n", + " ['Card Game', 'Medieval'],\n", + " 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['Exploration', 'Maze', 'Print & Play', 'Spies/Secret Agents'],\n", + " ['Medieval', 'Territory Building'],\n", + " ['Card Game', 'Fantasy', 'Fighting', 'Humor'],\n", + " ['Bluffing', 'Card Game', 'City Building', 'Fantasy', 'Medieval'],\n", + " ['Expansion', 'Trains', 'Transportation'],\n", + " ['Cooperative',\n", + " 'Environmental',\n", + " 'Exploration',\n", + " 'Legacy',\n", + " 'Medical',\n", + " 'Post-Apocalyptic'],\n", + " ['Racing'],\n", + " ['Ancient'],\n", + " ['Adventure', 'Bluffing', 'Exploration'],\n", + " [],\n", + " ['Deduction', 'Fantasy'],\n", + " ['City Building', 'Economic', 'Medieval'],\n", + " ['Family Game'],\n", + " ['Economic'],\n", + " ['Adventure', 'Exploration'],\n", + " ['Ancient', 'Civilization', 'Fighting', 'Miniatures', 'Mythology'],\n", + " ['Expansion'],\n", + " ['Card Game',\n", + " 'Cooperative',\n", + " 'Fantasy',\n", + " 'Legacy',\n", + " 'Movies / TV / Radio theme',\n", + " 'Novel-based'],\n", + " ['Fantasy',\n", + " 'Medieval',\n", + " 'Negotiation',\n", + " 'Novel-based',\n", + " 'Political',\n", + " 'O0ogzwLUe8',\n", + " 'ssZjU3HETz'],\n", + " ['Economic', 'Expansion', 'Territory Building', 'Wargame'],\n", + " ['Math', 'Party Game', 'Trivia'],\n", + " [],\n", + " ['Economic', 'Resource Management'],\n", + " ['Adventure',\n", + " 'Card Game',\n", + " 'Dice',\n", + " 'Fantasy',\n", + " 'Fighting',\n", + " 'Horror',\n", + " 'Novel-based'],\n", + " ['Fantasy', 'Fighting', 'Horror', 'Mythology'],\n", + " ['Abstract'],\n", + " ['Aviation',\n", + " 'Bluffing',\n", + " 'Miniatures',\n", + " 'Movies / TV / Radio theme',\n", + " 'Sci-Fi',\n", + " 'Wargame'],\n", + " ['Adventure', 'Card Game', 'Fantasy', 'Horror'],\n", + " ['Card Game', 'Family Game', 'Food', 'Humor'],\n", + " ['Animals', 'Fighting', 'Sci-Fi'],\n", + " ['Bluffing', 'Fighting', 'Negotiation', 'Novel-based', 'Political', 'Sci-Fi'],\n", + " ['Card Game', 'Wargame'],\n", + " ['Expansion'],\n", + " ['Exploration', 'Party Game'],\n", + " ['Card Game', 'Fighting'],\n", + " ['Horror'],\n", + " ['Card Game', 'Family Game'],\n", + " ['Adventure', 'Ancient', 'Exploration', 'Travel'],\n", + " ['Animals',\n", + " 'Card Game',\n", + " 'Educational',\n", + " 'Environmental',\n", + " 'Fighting',\n", + " 'Prehistoric',\n", + " 'Print & Play'],\n", + " ['Industry/Manufacturing', 'Trains'],\n", + " ['Expansion'],\n", + " ['Adventure', 'American West'],\n", + " ['Card Game', 'Medieval'],\n", + " ['Card Game', 'Fantasy', 'Fighting'],\n", + " ['American West', 'Racing', 'Resource Management', 'Solo / Solitaire'],\n", + " ['Civilization', 'Economic', 'Expansion', 'Territory Building', 'Wargame'],\n", + " ['Art', 'Family Game', 'Humor', 'Party Game'],\n", + " [],\n", + " ['Card Game',\n", + " 'Fantasy',\n", + " 'Medieval',\n", + " 'Movies / TV / Radio theme',\n", + " 'Mythology',\n", + " 'Novel-based',\n", + " 'Pirates'],\n", + " ['Ancient', 'Card Game', 'City Building', 'Civilization', 'Expansion'],\n", + " [],\n", + " ['Dice', 'Trains'],\n", + " ['Ancient', 'Card Game', 'City Building', 'Economic'],\n", + " ['Kickstarter'],\n", + " ['Expansion'],\n", + " ['Animals',\n", + " 'Card Game',\n", + " 'Educational',\n", + " 'Environmental',\n", + " 'Fighting',\n", + " 'Prehistoric'],\n", + " ['City Building', 'Environmental'],\n", + " ['Medieval'],\n", + " ['Card Game', 'Economic', 'Medieval'],\n", + " ['Word Game'],\n", + " ['Movies / TV / Radio theme', 'Novel-based', 'Sci-Fi'],\n", + " ['Animals', \"Children's Game\", 'Dexterity', 'One vs Many'],\n", + " ['Dice'],\n", + " ['City Building', 'Negotiation'],\n", + " ['Card Game'],\n", + " ['Card Game', 'City Building', 'Territory Building'],\n", + " [],\n", + " ['Dice', 'Expansion', 'Movies / TV / Radio theme', 'Sci-Fi'],\n", + " ['Deduction'],\n", + " ['Dice', 'Renaissance'],\n", + " ['Abstract', 'Expansion', 'Party Game'],\n", + " ['Expansion'],\n", + " ['Card Game', 'Expansion', 'Medieval', 'Nautical'],\n", + " ['Card Game', 'Expansion', 'Medieval'],\n", + " ['Space Exploration'],\n", + " ['Expansion', 'Trains'],\n", + " ['Adventure',\n", + " 'Exploration',\n", + " 'Fighting',\n", + " 'Kickstarter',\n", + " 'Miniatures',\n", + " 'Sci-Fi',\n", + " 'Space Exploration',\n", + " 'Transportation'],\n", + " ['Racing', 'Sports'],\n", + " ['Card Game', 'Fantasy', 'Fighting'],\n", + " ['Card Game', 'Fantasy', 'Medieval'],\n", + " [],\n", + " [],\n", + " ['Dice', 'Economic', 'Territory Building'],\n", + " [],\n", + " ['Card Game',\n", + " 'Cooperative',\n", + " 'Fighting',\n", + " 'Horror',\n", + " 'Movies / TV / Radio theme',\n", + " 'Sci-Fi',\n", + " 'Solo / Solitaire'],\n", + " ['Adventure',\n", + " 'Exploration',\n", + " 'Nautical',\n", + " 'Novel-based',\n", + " 'Sci-Fi',\n", + " 'Solo / Solitaire',\n", + " 'Travel',\n", + " 'Wargame'],\n", + " ['Animals', 'Card Game'],\n", + " ['Ancient', 'Card Game', 'City Building', 'Civilization', 'Expansion'],\n", + " ['Card Game'],\n", + " ['Fantasy', 'Medieval', 'Solo / Solitaire'],\n", + " [],\n", + " [],\n", + 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[],\n", + " ['Medieval'],\n", + " [],\n", + " ['City Building', 'Expansion', 'Medieval', 'Territory Building'],\n", + " [],\n", + " ['Cooperative', 'Word Game'],\n", + " ['Card Game', 'Fantasy', 'Fighting', 'Mythology'],\n", + " ['Abstract', 'Party Game'],\n", + " [],\n", + " ['Card Game', 'Dice', 'Fantasy'],\n", + " ['Family Game', 'Racing', 'Sports', 'Transportation'],\n", + " ['Family Game', 'Renaissance'],\n", + " [],\n", + " ['Economic'],\n", + " ['Economic', 'Expansion', 'Sci-Fi'],\n", + " ['City Building',\n", + " 'Civilization',\n", + " 'Economic',\n", + " 'Industry/Manufacturing',\n", + " 'Transportation'],\n", + " ['Cooperative', 'Electronic', 'Sci-Fi'],\n", + " [],\n", + " ['Card Game', 'Sci-Fi', 'Space Exploration'],\n", + " [],\n", + " ['Card Game'],\n", + " ['Animals', 'Card Game', 'City Building', 'Expansion', 'Fantasy'],\n", + " ['Abstract', 'Card Game', 'Fantasy'],\n", + " ['Bluffing', 'Exploration', 'Nautical', 'Pirates', 'Renaissance'],\n", + " [],\n", + " ['Expansion'],\n", + " ['Civilization', 'Dice', 'Prehistoric'],\n", + " ['Dexterity'],\n", + " ['Expansion'],\n", + " [],\n", + " ['Fantasy', 'Political'],\n", + " ['Card Game', 'Fantasy', 'Fighting'],\n", + " ['Adventure', 'Card Game', 'Economic', 'Exploration'],\n", + " ['Animals', 'Fantasy', 'Fighting'],\n", + " ['Industry/Manufacturing', 'Math', 'Robots', 'Sci-Fi'],\n", + " [],\n", + " ['Card Game', 'Civil War', 'Economic', 'Post-Napoleonic', 'Wargame'],\n", + " ['Card Game',\n", + " 'Fantasy',\n", + " 'Fighting',\n", + " 'Miniatures',\n", + " 'Mythology',\n", + " 'Novel-based'],\n", + " [],\n", + " ['Bluffing', 'Deduction', 'Party Game'],\n", + " ['Party Game', 'Puzzle', 'Trivia'],\n", + " [],\n", + " ['Card Game', 'Exploration', 'Fantasy', 'Solo / Solitaire'],\n", + " ['Expansion'],\n", + " ['Card Game'],\n", + " [],\n", + " [],\n", + " ['Dice', 'Expansion', 'Sci-Fi', 'Space Exploration'],\n", + " ['Card Game', 'Fantasy', 'Nautical'],\n", + " ['Economic', 'Kickstarter', 'Negotiation', 'Political'],\n", + " ['Expansion'],\n", + " ['Economic', 'Industry/Manufacturing'],\n", + " ['Dice', 'Economic', 'Farming'],\n", + " [],\n", + " [],\n", + " ['Bluffing', 'Card Game', 'Cold war', 'Political'],\n", + " ['Puzzle', 'Real-time'],\n", + " ['Expansion'],\n", + " ['Animals', 'Environmental', 'Territory Building'],\n", + " [],\n", + " [],\n", + " ['American West', 'Bluffing', 'Deduction', 'Dice', 'Expansion'],\n", + " ['Card Game', 'Racing'],\n", + " ['Card Game', 'Comic Book / Strip', 'Expansion'],\n", + " [],\n", + " ['Expansion', 'Fantasy', 'Horror'],\n", + " ['Card Game', 'Cooperative'],\n", + " [],\n", + " ['Economic'],\n", + " ['Expansion'],\n", + " ['Card Game', 'Family Game'],\n", + " [],\n", + " ['Dice', 'Expansion', 'Fighting', 'Movies / TV / Radio theme', 'Sci-Fi'],\n", + " [],\n", + " ['Card Game', 'Deduction', 'Fantasy', 'Horror'],\n", + " ['Economic', 'Industry/Manufacturing', 'Nautical'],\n", + " [],\n", + " ['Adventure', 'Expansion', 'Fantasy'],\n", + " ['Animals', 'Bluffing', 'Party Game', 'Pirates', 'Racing'],\n", + " [],\n", + " ['18XX', 'Trains'],\n", + " [],\n", + " ['Expansion', 'Fantasy', 'Fighting', 'Medieval', 'Mythology'],\n", + " [],\n", + " ['Card Game', 'Expansion'],\n", + " [],\n", + " [],\n", + " ['Fantasy', 'Humor', 'Nautical'],\n", + " [],\n", + " [],\n", + " [],\n", + " [],\n", + " [],\n", + " ['Adventure', 'Medieval'],\n", + " [],\n", + " ['Economic', 'Industry/Manufacturing'],\n", + " ['Abstract'],\n", + " ['Card Game', 'Nautical', 'Pirates'],\n", + " ['Card Game', 'Comic Book / Strip', 'Expansion'],\n", + " [],\n", + " ['Adventure', 'Dice', 'Expansion', 'Sci-Fi', 'Space Exploration'],\n", + " [],\n", + " ['Card Game', 'City Building', 'Medieval'],\n", + " [],\n", + " [],\n", + " [],\n", + " ['Cooperative', 'Prison Escape', 'Puzzle', 'Real-time', 'Solo / Solitaire'],\n", + " ['Adventure', 'Fantasy', 'Horror', 'Print & Play'],\n", + " ['Card Game', 'Humor', 'Party Game'],\n", + " ['Abstract'],\n", + " ['Expansion',\n", + " 'Fantasy',\n", + " 'Kickstarter',\n", + " 'Resource Management',\n", + " 'Territory Building'],\n", + " ['Economic', 'Medieval'],\n", + " ['Animals', \"Children's Game\", 'Dexterity'],\n", + " [],\n", + " [],\n", + " [],\n", + " [],\n", + " ['Plants/Gardening'],\n", + " ['Adventure', 'Exploration', 'Fantasy', 'Fighting', 'Miniatures'],\n", + " ['Civilization'],\n", + " [\"Children's Game\", 'Fantasy', 'Maze', 'Memory'],\n", + " ['Dice'],\n", + " ['Card Game'],\n", + " ['Trains'],\n", + " [],\n", + " ['Exploration', 'Fantasy', 'Video Game Theme'],\n", + " [],\n", + " ['Family Game', 'Word Game'],\n", + " ['Card Game', 'City Building'],\n", + " [],\n", + " [],\n", + " ['Adventure', 'Dice', 'Fantasy', 'Fighting'],\n", + " [],\n", + " [],\n", + " ['Card Game'],\n", + " [],\n", + " [],\n", + " ['Adventure', 'Card Game', 'Sci-Fi'],\n", + " [],\n", + " ['American West', 'Economic', 'Territory Building'],\n", + " [],\n", + " [],\n", + " [],\n", + " ...]" + ] + }, + "execution_count": 869, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "for i in swapping_dict_cat_df['BG_categories']: #### swap also mechanics ema\n", + " \n", + " #print(i)\n", + " for e in i:\n", + " for key, value in swapping_dict_cat.items(): ### check this iteritems ema\n", + " for e_value in e.values():\n", + " #print(e_value)\n", + " if e_value == key:\n", + " e['id'] = value\n", + " \n", + "#swapping_dict_cat_df['BG_categories']\n", + "\n", + "another_list = []\n", + "\n", + "for i in swapping_dict_cat_df['BG_categories']:\n", + " #print(i)\n", + " \n", + " empty_list = []\n", + " for e in i:\n", + " v = list(e.values())\n", + " for z in v:\n", + " \n", + " empty_list.append(z)\n", + " another_list.append(empty_list)\n", + " \n", + "another_list\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 976, + "id": "2b52bb95", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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BG_mechanicsBG_categoriesBG_avg_learningBG_avg_strategy
0[{'id': 'Action / Movement Programming', 'url'...[Abstract, Adventure, Animals, Asymmetric]3.8888893.666667
1[{'id': 'Action Selection', 'url': 'https://ww...[4x, Alternate History, Asymmetric, Resource M...3.0666673.266667
2[{'id': 'Dice Rolling', 'url': 'https://www.bo...[Animals, Card Game, Dice, Resource Management]2.4545452.818182
3[{'id': 'Campaign', 'url': 'https://www.boardg...[Adventure, Fantasy]3.8888893.666667
4[{'id': 'Area Control', 'url': 'https://www.bo...[Resource Management, Sci-Fi, Solo / Solitaire]3.0000003.333333
...............
1015[{'id': 'Hand Management', 'url': 'https://www...[]0.0000000.000000
1016[][Expansion]0.0000000.000000
1017[][[]]0.0000000.000000
1018[{'id': 'Card Drafting', 'url': 'https://www.b...[]0.0000000.000000
1019[{'id': 'Action Point Allowance System', 'url'...[Dice, Medical]0.0000000.000000
\n", + "

1020 rows × 4 columns

\n", + "
" + ], + "text/plain": [ + " BG_mechanics \\\n", + "0 [{'id': 'Action / Movement Programming', 'url'... \n", + "1 [{'id': 'Action Selection', 'url': 'https://ww... \n", + "2 [{'id': 'Dice Rolling', 'url': 'https://www.bo... \n", + "3 [{'id': 'Campaign', 'url': 'https://www.boardg... \n", + "4 [{'id': 'Area Control', 'url': 'https://www.bo... \n", + "... ... \n", + "1015 [{'id': 'Hand Management', 'url': 'https://www... \n", + "1016 [] \n", + "1017 [] \n", + "1018 [{'id': 'Card Drafting', 'url': 'https://www.b... \n", + "1019 [{'id': 'Action Point Allowance System', 'url'... \n", + "\n", + " BG_categories BG_avg_learning \\\n", + "0 [Abstract, Adventure, Animals, Asymmetric] 3.888889 \n", + "1 [4x, Alternate History, Asymmetric, Resource M... 3.066667 \n", + "2 [Animals, Card Game, Dice, Resource Management] 2.454545 \n", + "3 [Adventure, Fantasy] 3.888889 \n", + "4 [Resource Management, Sci-Fi, Solo / Solitaire] 3.000000 \n", + "... ... ... \n", + "1015 [] 0.000000 \n", + "1016 [Expansion] 0.000000 \n", + "1017 [[]] 0.000000 \n", + "1018 [] 0.000000 \n", + "1019 [Dice, Medical] 0.000000 \n", + "\n", + " BG_avg_strategy \n", + "0 3.666667 \n", + "1 3.266667 \n", + "2 2.818182 \n", + "3 3.666667 \n", + "4 3.333333 \n", + "... ... \n", + "1015 0.000000 \n", + "1016 0.000000 \n", + "1017 0.000000 \n", + "1018 0.000000 \n", + "1019 0.000000 \n", + "\n", + "[1020 rows x 4 columns]" + ] + }, + "execution_count": 976, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "copy_swapping_dict_cat_df = swapping_dict_cat_df.copy()\n", + "\n", + "copy_swapping_dict_cat_df['BG_categories'] = another_list\n", + "\n", + "copy_swapping_dict_cat_df['BG_categories']\n", + "notencoded_df = copy_swapping_dict_cat_df\n", + "\n", + "notencoded_df" + ] + }, + { + "cell_type": "code", + "execution_count": 881, + "id": "1984d3c2", + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "Shape of passed values is (1020, 1), indices imply (1020, 119)", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\internals\\managers.py\u001b[0m in \u001b[0;36mcreate_block_manager_from_blocks\u001b[1;34m(blocks, axes)\u001b[0m\n\u001b[0;32m 1674\u001b[0m blocks = [\n\u001b[1;32m-> 1675\u001b[1;33m make_block(\n\u001b[0m\u001b[0;32m 1676\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mblocks\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mplacement\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mslice\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maxes\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mndim\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\internals\\blocks.py\u001b[0m in \u001b[0;36mmake_block\u001b[1;34m(values, placement, klass, ndim, dtype)\u001b[0m\n\u001b[0;32m 2741\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2742\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mklass\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mndim\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mndim\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mplacement\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mplacement\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2743\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\internals\\blocks.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, values, placement, ndim)\u001b[0m\n\u001b[0;32m 141\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_ndim\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmgr_locs\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 142\u001b[1;33m raise ValueError(\n\u001b[0m\u001b[0;32m 143\u001b[0m \u001b[1;34mf\"Wrong number of items passed {len(self.values)}, \"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mValueError\u001b[0m: Wrong number of items passed 1, placement implies 119", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[0mmlb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mMultiLabelBinarizer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msparse_output\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 9\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m test_better = copy_swapping_dict_cat_df.join(pd.DataFrame(mlb.fit_transform(copy_swapping_dict_cat_df.pop('BG_categories')),\n\u001b[0m\u001b[0;32m 11\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmlb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclasses_\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 12\u001b[0m index=copy_swapping_dict_cat_df.index))\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[0;32m 582\u001b[0m \u001b[0mmgr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0marrays_to_mgr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 583\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 584\u001b[1;33m \u001b[0mmgr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minit_ndarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcopy\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 585\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 586\u001b[0m \u001b[0mmgr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minit_dict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m 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\u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mb\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mblocks\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1687\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mconstruction_error\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtot_items\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mblocks\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxes\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1688\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1689\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mValueError\u001b[0m: Shape of passed values is (1020, 1), indices imply (1020, 119)" + ] + } + ], + "source": [ + "#copy_swapping_dict_cat_df = swapping_dict_cat_df.copy()\n", + "\n", + "#copy_swapping_dict_cat_df['BG_categories'] = another_list\n", + "#copy_swapping_dict_cat_df['BG_categories']\n", + "\n", + "from sklearn.preprocessing import MultiLabelBinarizer\n", + "\n", + "mlb = MultiLabelBinarizer(sparse_output=True)\n", + "\n", + "test_better = copy_swapping_dict_cat_df.join(pd.DataFrame(mlb.fit_transform(copy_swapping_dict_cat_df.pop('BG_categories')),\n", + " columns=mlb.classes_,\n", + " index=copy_swapping_dict_cat_df.index))\n", + "\n", + "test_better.head()\n", + "\n", + "##copy_swapping_dict_cat_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 933, + "id": "53296c0f", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'FULLdf_test' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mFULLdf_test\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msize\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mNameError\u001b[0m: name 'FULLdf_test' is not defined" + ] + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d0f25b67", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 954, + "id": "39bcb758", + "metadata": {}, + "outputs": [], + "source": [ + "df_test = copy_swapping_dict_cat_df.drop('BG_categories', 1).join(copy_swapping_dict_cat_df.BG_categories.str.join('|').str.get_dummies())\n", + "\n", + "\n", + "\n", + "#to_drop = [\"{\"name\":\"Card Game\",\"id\":\"eX8uuNlQkQ\",\"url\":\"https://www.boardgameatlas.com/category/eX8uuNlQkQ/card-game\",\"score\":0.016016260162601624},{\"name\":\"Fantasy\",\"id\":\"ZTneo8TaIO\",\"url\":\"https://www.boardgameatlas.com/category/ZTneo8TaIO/fantasy\",\"score\":0.022845528455284553}\"]\n", + "\n", + "\n", + "df_test.drop(df_test.columns[-3:], axis = 1, inplace= True)\n", + "\n", + "df_test_mec = df_test.copy()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 975, + "id": "7e6c69e1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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BG_mechanicsBG_categoriesBG_avg_learningBG_avg_strategy
0[{'id': 'Action / Movement Programming', 'url'...[Abstract, Adventure, Animals, Asymmetric]3.8888893.666667
1[{'id': 'Action Selection', 'url': 'https://ww...[4x, Alternate History, Asymmetric, Resource M...3.0666673.266667
2[{'id': 'Dice Rolling', 'url': 'https://www.bo...[Animals, Card Game, Dice, Resource Management]2.4545452.818182
3[{'id': 'Campaign', 'url': 'https://www.boardg...[Adventure, Fantasy]3.8888893.666667
4[{'id': 'Area Control', 'url': 'https://www.bo...[Resource Management, Sci-Fi, Solo / Solitaire]3.0000003.333333
...............
1015[{'id': 'Hand Management', 'url': 'https://www...[]0.0000000.000000
1016[][Expansion]0.0000000.000000
1017[][[]]0.0000000.000000
1018[{'id': 'Card Drafting', 'url': 'https://www.b...[]0.0000000.000000
1019[{'id': 'Action Point Allowance System', 'url'...[Dice, Medical]0.0000000.000000
\n", + "

1020 rows × 4 columns

\n", + "
" + ], + "text/plain": [ + " BG_mechanics \\\n", + "0 [{'id': 'Action / Movement Programming', 'url'... \n", + "1 [{'id': 'Action Selection', 'url': 'https://ww... \n", + "2 [{'id': 'Dice Rolling', 'url': 'https://www.bo... \n", + "3 [{'id': 'Campaign', 'url': 'https://www.boardg... \n", + "4 [{'id': 'Area Control', 'url': 'https://www.bo... \n", + "... ... \n", + "1015 [{'id': 'Hand Management', 'url': 'https://www... \n", + "1016 [] \n", + "1017 [] \n", + "1018 [{'id': 'Card Drafting', 'url': 'https://www.b... \n", + "1019 [{'id': 'Action Point Allowance System', 'url'... \n", + "\n", + " BG_categories BG_avg_learning \\\n", + "0 [Abstract, Adventure, Animals, Asymmetric] 3.888889 \n", + "1 [4x, Alternate History, Asymmetric, Resource M... 3.066667 \n", + "2 [Animals, Card Game, Dice, Resource Management] 2.454545 \n", + "3 [Adventure, Fantasy] 3.888889 \n", + "4 [Resource Management, Sci-Fi, Solo / Solitaire] 3.000000 \n", + "... ... ... \n", + "1015 [] 0.000000 \n", + "1016 [Expansion] 0.000000 \n", + "1017 [[]] 0.000000 \n", + "1018 [] 0.000000 \n", + "1019 [Dice, Medical] 0.000000 \n", + "\n", + " BG_avg_strategy \n", + "0 3.666667 \n", + "1 3.266667 \n", + "2 2.818182 \n", + "3 3.666667 \n", + "4 3.333333 \n", + "... ... \n", + "1015 0.000000 \n", + "1016 0.000000 \n", + "1017 0.000000 \n", + "1018 0.000000 \n", + "1019 0.000000 \n", + "\n", + "[1020 rows x 4 columns]" + ] + }, + "execution_count": 975, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#swapping_dict_cat = DF_BG_cat_comparison.to_dict(\"index\")\n", + "\n", + "\n", + "#swapping_dict_cat = dict(zip(BGlist_cat_id, BGlist_cat_name),columns =['BG Category ID', 'BG Category Name'])\n", + "#ofc = copy_swapping_dict_cat_df['4x']\n", + "#print(ofc)\n", + "#swapping_dict_cat\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "1f9c6515", + "metadata": {}, + "source": [ + "#### Changing id_values of [Bg_Mechanics] for the name of said mechanics" + ] + }, + { + "cell_type": "code", + "execution_count": 915, + "id": "920ac85e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'n1GtBt35Rd': 'Acting',\n", + " 'PGjmKGi26h': 'Action / Movement Programming',\n", + " 'UAV3t3FxVI': 'Action Drafting',\n", + " 'oeg6wN9Eoc': 'Action Point Allowance System',\n", + " 'ckCp1oTVMy': 'Action Queue',\n", + " 'Bc7R8pLoGk': 'Action Selection',\n", + " 'LfQ9fgn7Zu': 'Action economy',\n", + " '9l8kOZQEEa': 'Added Mechanics',\n", + " 'klT5dZnO4G': 'Advantage Token',\n", + " 'Hef8hzPH7C': 'Alliances',\n", + " '05zCZoLvQJ': 'Area Control',\n", + " '3te2oybNR4': 'Area Enclosure',\n", + " '9NBcz45nN7': 'Area Majority/ Influence',\n", + " 'bgGxE0pI2B': 'Area Movement',\n", + " 'zlsyLiomoR': 'Area development',\n", + " 'AZxlPpi5oq': 'Auction',\n", + " '7gpfubluzg': 'Auction: Dutch',\n", + " 'IAuH3ICIyC': 'Automatic Resource Growth',\n", + " '1382oBW7iB': 'Bag Building',\n", + " '3tuJiW3pps': 'Betting',\n", + " 'tKZiGvSxAC': 'Bias',\n", + " 'issXRWXSLg': 'Bidding',\n", + " '71HG4TJaoD': 'Bingo',\n", + " 'ZX3hYcF9H7': 'Bluffing',\n", + " 'QFxeEMMQAM': 'Bribery',\n", + " 'xuphiSlrxI': 'Campaign',\n", + " 'ml9upz5Me9': 'Campaign / Battle Card Driven',\n", + " 'iWODHwRGuU': 'Card Drafting',\n", + " 'ngCSHHk0H2': 'Card Placement',\n", + " '6YTZ0juKWy': 'Catch the Leader',\n", + " 'PzEJDypMgC': 'Chaining',\n", + " 'NjIbItz8uF': 'Challenge',\n", + " 'Gan96fffLL': 'Chit-Pull System',\n", + " 'IcofZxFwqw': 'Command Cards',\n", + " 'i8pEFk75OI': 'Commodity Speculation',\n", + " '0ez69aUfuJ': 'Communication Limits',\n", + " 'pEHn0BKFZ8': 'Connections',\n", + " 'jOAB6RhwBp': 'Contracts',\n", + " 'hwyCo1W0hi': 'Conversation',\n", + " '9mNukNBxfZ': 'Cooperative Play',\n", + " 'xVDf5dmJts': 'Crayon Rail System',\n", + " 'J6TWltoYOF': 'Cube tower',\n", + " '9zM9zB4fHY': 'Deception',\n", + " 'vZsDDAdOoe': 'Deck Building',\n", + " 'VQQsdFilIf': 'Deck Constructing',\n", + " 'GsNGxZFNCK': 'Deduction',\n", + " '3BiR0iAjoo': 'Delayed Purchase',\n", + " '5kvyChnWuO': 'Dexterity',\n", + " 'edpczEaWCX': 'Dice Allocation',\n", + " 'lVSHu9efHv': 'Dice Building',\n", + " 'zw4KMn5rcD': 'Dice Movement',\n", + " 'R0bGq4cAl4': 'Dice Rolling',\n", + " 'k44nxjXeXC': 'Die Icon Resolution',\n", + " 'wV5peB05xs': 'Drafting',\n", + " 'KfTS5BwIsu': 'Drawing',\n", + " 'OSJ0QgXnl7': 'Dutch Auction',\n", + " 'PVJ8E0kXUE': 'Dynamic Currency',\n", + " 'YlqCkWPY0r': 'Enclosure',\n", + " '9ZlbQA8L5l': 'End Game Bonuses',\n", + " 'yu3eas6v7A': 'Engine Building',\n", + " 'KFeIfeoFaK': 'Events',\n", + " '5vzHcNSWye': 'Feeding Workers/Characters',\n", + " 'rUsVFpir1t': 'Finale Ending',\n", + " 'S0O9ucexPS': 'Flicking',\n", + " 'uztV12nNjt': 'Force Commitment',\n", + " 'l5mXIMcD6N': 'Grid Coverage',\n", + " 'qu5BcGjAzk': 'Grid Movement',\n", + " 'WPytek5P8l': 'Hand Management',\n", + " 'i3xnwJ7VPV': 'Hand-Eye Coordination',\n", + " '6CyVyXRn1C': 'Hex and Counter',\n", + " 'BeD8NYAaSU': 'Hexagon Grid',\n", + " 'aQZ40lKv8O': 'Hidden Movement',\n", + " 'dITGE93SCS': 'Hidden Objective',\n", + " 'U7vKyeRc0N': 'Hidden Roles',\n", + " 'Voqy2dgrIM': 'Hidden Traitor',\n", + " 'MPiKlI6itI': 'Hidden Victory Points',\n", + " 'uEUdAVKex3': 'I Split, You Take',\n", + " '6RZAs0CCpF': 'Income',\n", + " 'hXoDlzyWxx': 'Increased Value of Unchosen Resources',\n", + " 'Kc9VeRBF4i': 'Investment',\n", + " 'iD9HiRqlaF': 'King of The Hill',\n", + " 'i4XLPK9XNM': 'Layering',\n", + " 'DwmsVEvNVd': 'Legacy',\n", + " 'MaXzmoZUoX': 'Line Drawing',\n", + " 'KixWJ4QQPE': 'Line of Sight',\n", + " 'LqtFDVjGEm': 'Loans',\n", + " 'XI7soCqc6x': 'Lose a Turn',\n", + " 'ar56ACXDNe': 'Mancala',\n", + " 'ZXn5ynKjNz': 'Map Addition',\n", + " 'jvNWYGPDkQ': 'Map Reduction',\n", + " 'wPcKOr57ig': 'Market',\n", + " 'QtH2H2MXp6': 'Matching',\n", + " 'r6yIFvyXDD': 'Memory',\n", + " 'U3zhCQH7Et': 'Modular Board',\n", + " 'V2rMEmnTCs': 'Move with Cards',\n", + " '3fLVBQG50Z': 'Movement Points',\n", + " 'gcltnDjSRQ': 'Narrative Choice',\n", + " 'jMwUJLemr6': 'Negotiation',\n", + " 'ohABM4GjbC': 'Network and Route Building',\n", + " 'qxXud0DODh': 'Once per game ability',\n", + " 'Pn9PAvCVrW': 'Order Fulfillment',\n", + " 'yQ4ZptdyD1': 'Ownership',\n", + " 'UHdPUeuqyZ': 'Paper and Pencil',\n", + " 'GNtouC8NLm': 'Partnerships',\n", + " '9YdRn9J9oZ': 'Pattern Building',\n", + " 'VTBonQ4yuA': 'Pattern Movement',\n", + " 'uZJS07nXF5': 'Pattern Recognition',\n", + " 'BbTMRkwL0b': 'Pick-up and Deliver',\n", + " 'BGrhzIN69D': 'Player Elimination',\n", + " 'MEAoOygZsA': 'Point to Point Movement',\n", + " 'ea1eaPBQn8': 'Pool Building',\n", + " 'RbTok96yRd': 'Powered by the Apocalypse',\n", + " 'hmipYN1R1I': 'Press Your Luck',\n", + " 'TKcedESdWT': \"Prisoner's Dilemma\",\n", + " 'lbuV691zBC': 'Programmed Movement',\n", + " 'qZx4PEzKKz': 'Race',\n", + " 'rpPPpJPbeZ': 'Random Production',\n", + " 'v9L0Bf86od': 'Ratio / Combat Results Table',\n", + " 'E9VKQ8uMSP': 'Real Time',\n", + " 'OihbT9eA8c': 'Relative Movement',\n", + " 'Rt6V388y6M': 'Resource Gathering',\n", + " 'i1C9sRK8TS': 'Resource to Move',\n", + " 'j7x8jY4ay2': 'Rock-Paper-Scissors',\n", + " 'EVeAdboGUA': 'Role Playing',\n", + " 'gRlslORtpI': 'Role Selection',\n", + " 'SwmT0qEFSc': 'Roles with Asymmetric Information',\n", + " 'mGBzR68m8Z': 'Roll / Spin and Move',\n", + " 'zIPRS41oiN': 'Roll and Write',\n", + " 'FA6HjbhdNW': 'Rondel',\n", + " 'AO3hFg1Vwo': 'Scenario / Mission / Campaign Game',\n", + " '7MwswcgliJ': 'Score and Reset Game',\n", + " 'RwgEONzIzc': 'Secret Unit Deployment',\n", + " 'lA3KUtVFCy': 'Set Collection',\n", + " 'vBsK2u85w8': 'Shedding',\n", + " 'eRe1jJCBFe': 'Simulation',\n", + " 'DEvPj5twid': 'Simultaneous Play',\n", + " 'za4PP1LH00': 'Simultaneous action selection',\n", + " '4RNcc2Le80': 'Singing',\n", + " 'BZ2HmS3A2B': 'Skill with a Doubling Cube',\n", + " 'kuRNhFADjS': 'Skirmish',\n", + " 'x3wVCq1HEP': 'Social Deduction',\n", + " 'uZR0NCIA6D': 'Solo / Solitaire Game',\n", + " 'QWPVu14v5P': 'Spatial Reasoning',\n", + " 'm9IFaYKaOA': 'Square Grid',\n", + " 'QGpSz6qoPw': 'Stacking and Balancing',\n", + " 'EJVFd5uZaH': 'Static Capture',\n", + " '4BG1XpbOU3': 'Stealing',\n", + " 'jbLrZb1xIb': 'Stock Holding',\n", + " 'GUoWg3Mfh5': 'Storytelling',\n", + " 'xarBBVMST3': 'Sudden Death Ending',\n", + " 'xAoL3P3BIV': 'Survival',\n", + " 'u9IJEE1QBN': 'Tableau Building',\n", + " 'T8JEFYwoqy': 'Take That',\n", + " 'H4WeCGCbIp': 'Targeted CLues',\n", + " 'Tb52O7Id9Q': 'Targeted Clues',\n", + " '9jnCsVuRat': 'Teams',\n", + " 'LzMEog842j': 'Tech Trees / Tech Tracks',\n", + " '8PN2HE86wg': 'Tile Placement',\n", + " 'JX9P0Lda4D': 'Tile movement',\n", + " 'cXd5KaXXZo': 'Time Track',\n", + " 'wEBvff5T5c': 'Tower Defense',\n", + " 'gXBJh0WkGb': 'Track Movement',\n", + " 'AVY6EvSQTP': 'Trading',\n", + " 'tyTj0kxoRc': 'Traitor',\n", + " '3GSQl800lk': 'Trick-taking',\n", + " 'dq0UYF6HCv': 'Tug of War',\n", + " 'ypnYANDZwp': 'Turn Board Game',\n", + " 'mckyPcVJ0c': 'Turn Order: Auction',\n", + " '2hWNbfJ0wi': 'Turn Order: Claim Action',\n", + " 'U6W741PEHU': 'Turn Order: Pass Order',\n", + " '1nmCkkoKaq': 'Turn Order: Progressive',\n", + " 'mIbXGXV7Ok': 'Turn Order: Random',\n", + " 'EIsPHVVFC8': 'Turn Order: Roll Order',\n", + " 'ghLZBAbqCB': 'Turn Order: Stat-Based',\n", + " 'zzsE4jtI1b': 'Variable Phase Order',\n", + " 'XM2FYZmBHH': 'Variable Player Powers',\n", + " 'qdOpNsR6iU': 'Variable Setup',\n", + " 'Rvs7NYbvo1': 'Victory Points as a Resource',\n", + " 'JYYdBW6UCE': 'Voting',\n", + " '75z0cfeKVU': 'Word Forming',\n", + " 'fBOTEBUAmV': 'Worker Placement',\n", + " 'B30dz3Ljjx': 'Worker Placement with Dice Workers',\n", + " 'M7pWAuRX2d': 'Zone of Control',\n", + " 'columns': ['BG Mechanics ID', 'BG Mechanics Name']}" + ] + }, + "execution_count": 915, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "swapping_dict_mec = dict(zip(BGlist_mec_id, BGlist_mec_name),columns =['BG Mechanics ID', 'BG Mechanics Name'])\n", + "\n", + "\n", + "swapping_dict_mec" + ] + }, + { + "cell_type": "code", + "execution_count": 960, + "id": "17f4cc76", + "metadata": {}, + "outputs": [], + "source": [ + "swapping_dict_mec_df = df_test.copy()\n", + "\n", + "encoded_cat_df = swapping_dict_mec_df " + ] + }, + { + "cell_type": "code", + "execution_count": 964, + "id": "a25e8c25", + "metadata": {}, + "outputs": [], + "source": [ + "copy_notencoded_df = notencoded_df.copy()" + ] + }, + { + "cell_type": "code", + "execution_count": 929, + "id": "0ba39ced", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[['Action / Movement Programming',\n", + " 'Action Queue',\n", + " 'Area Control',\n", + " 'Dice Rolling',\n", + " 'Engine Building',\n", + " 'Hand Management',\n", + " 'Point to Point Movement',\n", + " 'Race',\n", + " 'Variable Player Powers'],\n", + " ['Action Selection',\n", + " 'Area Control',\n", + " 'Engine Building',\n", + " 'Grid Movement',\n", + " 'Hexagon Grid',\n", + " 'Hidden Objective',\n", + " 'Variable Player Powers'],\n", + " ['Dice Rolling', 'Engine Building', 'Set Collection', 'Tableau Building'],\n", + " ['Campaign',\n", + " 'Cooperative Play',\n", + " 'Grid Movement',\n", + " 'Hand Management',\n", + " 'Legacy',\n", + " 'Modular Board',\n", + " 'Role Playing',\n", + " 'Simultaneous action selection',\n", + " 'Storytelling',\n", + " 'Variable Player Powers'],\n", + " ['Area Control',\n", + " 'Card Drafting',\n", + " 'Cooperative Play',\n", + " 'End Game Bonuses',\n", + " 'Hand Management',\n", + " 'Hexagon Grid',\n", + " 'Income',\n", + " 'Set Collection',\n", + " 'Tableau Building',\n", + " 'Take That',\n", + " 'Tile Placement',\n", + " 'Turn Order: Progressive',\n", + " 'Variable Player Powers'],\n", + " ['Drafting', 'End Game Bonuses', 'Pattern Building', 'Tile Placement'],\n", + " ['Action Point Allowance System',\n", + " 'Conversation',\n", + " 'Cooperative Play',\n", + " 'Hand Management',\n", + " 'Point to Point Movement',\n", + " 'Set Collection',\n", + " 'Trading',\n", + " 'Variable Player Powers'],\n", + " ['Engine Building', 'Hand Management', 'Worker Placement'],\n", + " ['Action / Movement Programming',\n", + " 'Area Control',\n", + " 'Cooperative Play',\n", + " 'Events',\n", + " 'Hand Management',\n", + " 'Modular Board',\n", + " 'Set Collection',\n", + " 'Simultaneous Play',\n", + " 'Solo / Solitaire Game',\n", + " 'Variable Player Powers'],\n", + " ['Drafting', 'Hand Management', 'Set Collection', 'Tableau Building'],\n", + " ['Drafting', 'Engine Building', 'Set Collection', 'Tableau Building'],\n", + " ['Communication Limits', 'Deduction', 'Memory', 'Press Your Luck', 'Teams'],\n", + " ['Area Majority/ Influence', 'Tile Placement'],\n", + " ['Dice Rolling',\n", + " 'hUn7uJHrYm',\n", + " 'Set Collection',\n", + " 'Tile Placement',\n", + " 'Worker Placement with Dice Workers'],\n", + " ['Drafting', 'Engine Building', 'Set Collection'],\n", + " ['Cooperative Play',\n", + " 'Hand Management',\n", + " 'Legacy',\n", + " 'Set Collection',\n", + " 'Trading'],\n", + " ['Drafting',\n", + " 'Hand Management',\n", + " 'Set Collection',\n", + " 'Network and Route Building'],\n", + " ['Area Control',\n", + " 'Card Drafting',\n", + " 'Deck Building',\n", + " 'Hand Management',\n", + " 'Point to Point Movement',\n", + " 'Pool Building'],\n", + " ['Card Drafting',\n", + " 'End Game Bonuses',\n", + " 'Engine Building',\n", + " 'Hand Management',\n", + " 'Set Collection',\n", + " 'Solo / Solitaire Game',\n", + " 'Tableau Building',\n", + " 'Variable Setup',\n", + " 'Worker Placement'],\n", + " ['Connections',\n", + " 'Hand Management',\n", + " 'Income',\n", + " 'Loans',\n", + " 'Market',\n", + " 'Network and Route Building',\n", + " 'Tech Trees / Tech Tracks',\n", + " 'Turn Order: Stat-Based',\n", + " 'Variable Setup'],\n", + " ['Dice Rolling', 'Network and Route Building', 'Trading'],\n", + " ['Drafting', 'Tile Placement', 'Time Track'],\n", + " ['Grid Movement', 'Tile Placement'],\n", + " ['Bag Building', 'Catch the Leader', 'Pool Building', 'Press Your Luck'],\n", + " ['Engine Building',\n", + " 'Hand Management',\n", + " 'Set Collection',\n", + " 'Simultaneous Play',\n", + " 'Tableau Building',\n", + " 'Turn Order: Roll Order',\n", + " 'Variable Phase Order',\n", + " 'Variable Player Powers'],\n", + " ['Drafting', 'Hand Management', 'Set Collection'],\n", + " ['Deck Building',\n", + " 'Hand Management',\n", + " 'Point to Point Movement',\n", + " 'Rondel',\n", + " 'Set Collection',\n", + " 'Variable Setup'],\n", + " ['Card Drafting',\n", + " 'Set Collection',\n", + " 'Take That',\n", + " 'Worker Placement',\n", + " 'Contracts',\n", + " 'Hidden Roles',\n", + " 'Ownership',\n", + " 'Turn Order: Claim Action'],\n", + " ['Area Control', 'Dice Rolling', 'Drafting', 'Player Elimination'],\n", + " ['Drafting', 'Pattern Building', 'Tile Placement'],\n", + " ['Hand Management', 'Player Elimination'],\n", + " ['Drafting', 'Set Collection', 'Solo / Solitaire Game', 'Worker Placement'],\n", + " ['Bag Building',\n", + " 'Card Drafting',\n", + " 'Deck Building',\n", + " 'Drafting',\n", + " 'Pick-up and Deliver',\n", + " 'Player Elimination',\n", + " 'Point to Point Movement',\n", + " 'Press Your Luck',\n", + " 'Race'],\n", + " ['End Game Bonuses', 'Variable Phase Order', 'Hidden Victory Points'],\n", + " ['Area Control',\n", + " 'Area Movement',\n", + " 'Card Drafting',\n", + " 'Drafting',\n", + " 'Hand Management',\n", + " 'Simultaneous Play'],\n", + " ['Area Control',\n", + " 'Auction',\n", + " 'Drafting',\n", + " 'End Game Bonuses',\n", + " 'Hidden Victory Points',\n", + " 'Modular Board',\n", + " 'Set Collection',\n", + " 'Variable Player Powers',\n", + " 'Variable Setup'],\n", + " ['Bag Building',\n", + " 'Point to Point Movement',\n", + " 'Pool Building',\n", + " 'Turn Order: Progressive',\n", + " 'Worker Placement'],\n", + " ['Area Control',\n", + " 'Dice Rolling',\n", + " 'Variable Player Powers',\n", + " 'Victory Points as a Resource'],\n", + " ['Commodity Speculation',\n", + " 'Contracts',\n", + " 'Dice Rolling',\n", + " 'Market',\n", + " 'Modular Board',\n", + " 'Network and Route Building',\n", + " 'Solo / Solitaire Game',\n", + " 'Turn Order: Pass Order',\n", + " 'Variable Player Powers'],\n", + " ['Cooperative Play',\n", + " 'Grid Movement',\n", + " 'Hand Management',\n", + " 'Modular Board',\n", + " 'Pick-up and Deliver',\n", + " 'Set Collection',\n", + " 'Solo / Solitaire Game',\n", + " 'Variable Player Powers'],\n", + " ['Bias',\n", + " 'End Game Bonuses',\n", + " 'Set Collection',\n", + " 'Turn Order: Claim Action',\n", + " 'Worker Placement'],\n", + " ['Bingo',\n", + " 'Paper and Pencil',\n", + " 'Pattern Building',\n", + " 'Roll and Write',\n", + " 'Solo / Solitaire Game'],\n", + " ['Contracts',\n", + " 'Dice Rolling',\n", + " 'Drafting',\n", + " 'Hidden Objective',\n", + " 'Pattern Building',\n", + " 'Set Collection',\n", + " 'Solo / Solitaire Game'],\n", + " ['Auction',\n", + " 'Catch the Leader',\n", + " 'Income',\n", + " 'Market',\n", + " 'Network and Route Building',\n", + " 'Turn Order: Stat-Based'],\n", + " ['Area Control',\n", + " 'Area Movement',\n", + " 'Dice Rolling',\n", + " 'Hand Management',\n", + " 'Teams',\n", + " 'Variable Player Powers'],\n", + " ['Cooperative Play',\n", + " 'Deck Constructing',\n", + " 'Hand Management',\n", + " 'Role Playing',\n", + " 'Solo / Solitaire Game',\n", + " 'Variable Player Powers'],\n", + " ['Area Movement',\n", + " 'Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Hand Management',\n", + " 'Hidden Traitor',\n", + " 'Press Your Luck',\n", + " 'Storytelling',\n", + " 'Trading',\n", + " 'Traitor',\n", + " 'Variable Player Powers',\n", + " 'Voting'],\n", + " ['Card Drafting',\n", + " 'Drafting',\n", + " 'End Game Bonuses',\n", + " 'Hand Management',\n", + " 'Set Collection'],\n", + " ['Card Drafting',\n", + " 'Hand Management',\n", + " 'Set Collection',\n", + " 'Network and Route Building'],\n", + " ['Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Hexagon Grid',\n", + " 'Press Your Luck',\n", + " 'Solo / Solitaire Game',\n", + " 'Storytelling',\n", + " 'Tile Placement',\n", + " 'Variable Player Powers',\n", + " 'Worker Placement'],\n", + " ['Hand Management', 'Score and Reset Game', 'Set Collection'],\n", + " ['Dice Rolling', 'Hand Management', 'Set Collection', 'Worker Placement'],\n", + " ['Card Drafting',\n", + " 'Drafting',\n", + " 'Hand Management',\n", + " 'Set Collection',\n", + " 'Simultaneous Play'],\n", + " ['Bag Building',\n", + " 'Pick-up and Deliver',\n", + " 'Point to Point Movement',\n", + " 'Worker Placement'],\n", + " ['Action Drafting',\n", + " 'Area Control',\n", + " 'Area Movement',\n", + " 'Drafting',\n", + " 'Hand Management',\n", + " 'Memory',\n", + " 'Modular Board',\n", + " 'Tile Placement',\n", + " 'Variable Phase Order'],\n", + " ['Deck Building', 'Press Your Luck'],\n", + " ['Dice Rolling',\n", + " 'Grid Coverage',\n", + " 'Income',\n", + " 'Press Your Luck',\n", + " 'Tile Placement',\n", + " 'Turn Order: Pass Order',\n", + " 'Worker Placement'],\n", + " ['Contracts',\n", + " 'Dice Rolling',\n", + " 'Engine Building',\n", + " 'Simultaneous Play',\n", + " 'Tableau Building',\n", + " 'Variable Player Powers'],\n", + " ['Area Control',\n", + " 'Campaign',\n", + " 'Dice Rolling',\n", + " 'Hand Management',\n", + " 'Simulation',\n", + " 'Simultaneous Play',\n", + " 'Simultaneous action selection',\n", + " 'Tug of War'],\n", + " ['Communication Limits', 'Simultaneous Play', 'Storytelling', 'Voting'],\n", + " ['Area Control',\n", + " 'End Game Bonuses',\n", + " 'Hexagon Grid',\n", + " 'Income',\n", + " 'Network and Route Building',\n", + " 'Variable Player Powers',\n", + " 'Variable Setup',\n", + " 'Victory Points as a Resource'],\n", + " ['Hidden Roles',\n", + " 'Memory',\n", + " 'Player Elimination',\n", + " 'Take That',\n", + " 'Variable Player Powers'],\n", + " ['Contracts',\n", + " 'Dice Rolling',\n", + " 'End Game Bonuses',\n", + " 'Set Collection',\n", + " 'Turn Order: Progressive',\n", + " 'Worker Placement'],\n", + " ['Alliances',\n", + " 'Auction',\n", + " 'Hand Management',\n", + " 'Negotiation',\n", + " 'Race',\n", + " 'Simultaneous Play',\n", + " 'Take That',\n", + " 'Trading',\n", + " 'Variable Player Powers'],\n", + " ['Communication Limits',\n", + " 'Cooperative Play',\n", + " 'Hand Management',\n", + " 'Memory',\n", + " 'Set Collection'],\n", + " ['Dice Rolling',\n", + " 'Grid Movement',\n", + " 'Modular Board',\n", + " 'Network and Route Building',\n", + " 'Set Collection',\n", + " 'Tile Placement'],\n", + " ['Area Control',\n", + " 'Area Movement',\n", + " 'Hand Management',\n", + " 'Simulation',\n", + " 'Solo / Solitaire Game',\n", + " 'Storytelling',\n", + " 'Tableau Building'],\n", + " ['Area Control',\n", + " 'End Game Bonuses',\n", + " 'Hexagon Grid',\n", + " 'Income',\n", + " 'Modular Board',\n", + " 'Network and Route Building',\n", + " 'Tech Trees / Tech Tracks',\n", + " 'Turn Order: Pass Order',\n", + " 'Variable Player Powers',\n", + " 'Variable Setup'],\n", + " ['Hidden Roles', 'Memory', 'Simultaneous Play', 'Teams', 'Traitor', 'Voting'],\n", + " ['Card Drafting', 'Deck Building', 'Engine Building', 'Hand Management'],\n", + " ['Bias',\n", + " 'Cooperative Play',\n", + " 'Grid Movement',\n", + " 'Hand Management',\n", + " 'Pick-up and Deliver',\n", + " 'Press Your Luck',\n", + " 'Solo / Solitaire Game',\n", + " 'Square Grid',\n", + " 'Variable Player Powers'],\n", + " ['Communication Limits',\n", + " 'Cooperative Play',\n", + " 'Deduction',\n", + " 'Hand Management',\n", + " 'Pattern Recognition'],\n", + " ['Campaign',\n", + " 'Communication Limits',\n", + " 'Cooperative Play',\n", + " 'Scenario / Mission / Campaign Game',\n", + " 'Trick-taking'],\n", + " ['Betting',\n", + " 'Bluffing',\n", + " 'Bribery',\n", + " 'Drafting',\n", + " 'Hand Management',\n", + " 'Negotiation',\n", + " 'Set Collection'],\n", + " ['Engine Building',\n", + " 'Solo / Solitaire Game',\n", + " 'Tile Placement',\n", + " 'Turn Order: Claim Action',\n", + " 'Worker Placement'],\n", + " ['Contracts',\n", + " 'Dice Rolling',\n", + " 'Grid Movement',\n", + " 'Modular Board',\n", + " 'Network and Route Building'],\n", + " ['Card Drafting', 'Dice Rolling', 'Random Production'],\n", + " ['Deck Building'],\n", + " ['Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Modular Board',\n", + " 'Player Elimination',\n", + " 'Role Playing',\n", + " 'Traitor'],\n", + " ['Action Selection',\n", + " 'Campaign',\n", + " 'Dice Building',\n", + " 'Grid Movement',\n", + " 'Line of Sight',\n", + " 'Modular Board',\n", + " 'Teams'],\n", + " ['Card Drafting',\n", + " 'Hand Management',\n", + " 'Solo / Solitaire Game',\n", + " 'Turn Order: Claim Action',\n", + " 'Variable Player Powers',\n", + " 'Worker Placement'],\n", + " ['Dice Rolling',\n", + " 'Drafting',\n", + " 'Set Collection',\n", + " 'Variable Player Powers',\n", + " 'Worker Placement'],\n", + " ['Card Drafting',\n", + " 'Drafting',\n", + " 'Hand Management',\n", + " 'Solo / Solitaire Game',\n", + " 'Teams',\n", + " 'Turn Order: Claim Action',\n", + " 'Variable Player 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" 'Hexagon Grid',\n", + " 'Memory',\n", + " 'Network and Route Building',\n", + " 'Set Collection',\n", + " 'Tile Placement',\n", + " 'Worker Placement',\n", + " 'Turn Order: Auction'],\n", + " ['Communication Limits', 'Cooperative Play', 'Hand Management'],\n", + " ['Card Drafting',\n", + " 'Catch the Leader',\n", + " 'Drafting',\n", + " 'Hexagon Grid',\n", + " 'Set Collection',\n", + " 'Tile Placement'],\n", + " ['Hand Management', 'Take That'],\n", + " ['Area Movement',\n", + " 'Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Hand Management',\n", + " 'Modular Board',\n", + " 'Role Playing',\n", + " 'Scenario / Mission / Campaign Game',\n", + " 'Solo / Solitaire Game',\n", + " 'Storytelling',\n", + " 'Traitor',\n", + " 'Variable Player Powers'],\n", + " ['Acting',\n", + " 'Action / Movement Programming',\n", + " 'Campaign',\n", + " 'Cooperative Play',\n", + " 'Grid Movement',\n", + " 'Hand Management',\n", + " 'Hexagon Grid',\n", + " 'Legacy',\n", + " 'Scenario / Mission / 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" 'Variable Player Powers'],\n", + " ['Action / Movement Programming', 'Card Drafting', 'Simultaneous Play'],\n", + " ['Cooperative Play',\n", + " 'Deck Building',\n", + " 'Hand Management',\n", + " 'Player Elimination',\n", + " 'Variable Player Powers'],\n", + " ['Set Collection'],\n", + " ['Cooperative Play', 'Deduction', 'Hand Management', 'Pattern Building'],\n", + " ['Area Control',\n", + " 'Area Movement',\n", + " 'Auction',\n", + " 'Card Drafting',\n", + " 'Hand Management',\n", + " 'Memory',\n", + " 'Simultaneous Play'],\n", + " ['Dice Rolling', 'Press Your Luck', 'Set Collection', 'Take That'],\n", + " ['Action Point Allowance System',\n", + " 'Area Control',\n", + " 'Take That',\n", + " 'Variable Player Powers',\n", + " 'Worker Placement'],\n", + " ['Dice Rolling', 'Partnerships', 'Set Collection', 'Tile Placement'],\n", + " ['Dice Rolling',\n", + " 'Partnerships',\n", + " 'Player Elimination',\n", + " 'Social Deduction',\n", + " 'Teams',\n", + " 'Variable Player 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'Variable Player Powers',\n", + " 'Worker Placement'],\n", + " ['Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Grid Movement',\n", + " 'Modular Board',\n", + " 'Role Playing',\n", + " 'Variable Player Powers'],\n", + " ['Card Drafting', 'Set Collection', 'Worker Placement'],\n", + " ['Pattern Recognition'],\n", + " ['Modular Board', 'Set Collection', 'Tile Placement'],\n", + " ['Area Majority/ Influence', 'Tile Placement'],\n", + " ['Deck Building', 'Hand Management', 'Point to Point Movement'],\n", + " ['Hand Management', 'Network and Route Building', 'Set Collection'],\n", + " ['Card Drafting', 'Set Collection'],\n", + " ['Commodity Speculation', 'Contracts', 'Rondel', 'Set Collection'],\n", + " ['Action Point Allowance System',\n", + " 'Area Movement',\n", + " 'Pattern Building',\n", + " 'Network and Route Building'],\n", + " ['Card Drafting', 'Deck Building', 'Hand Management'],\n", + " ['Set Collection'],\n", + " ['Card Drafting',\n", + " 'Hand Management',\n", + " 'Network and Route Building',\n", + " 'Set Collection'],\n", + " ['Memory', 'Player Elimination', 'Press Your Luck'],\n", + " ['Memory', 'Partnerships', 'Role Playing', 'Storytelling'],\n", + " ['Cooperative Play', 'Dexterity', 'Flicking', 'Variable Player Powers'],\n", + " ['Area Control', 'Variable Phase Order'],\n", + " [],\n", + " ['Card Drafting',\n", + " 'Hand Management',\n", + " 'Set Collection',\n", + " 'Tile Placement',\n", + " 'Variable Player Powers',\n", + " 'Worker Placement'],\n", + " ['Card Drafting', 'Pattern Building', 'Press Your Luck'],\n", + " ['Area Majority/ Influence', 'Tile Placement'],\n", + " [],\n", + " ['Player Elimination', 'Simultaneous Play', 'Variable Player Powers'],\n", + " ['Card Drafting',\n", + " 'Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Press Your Luck',\n", + " 'Solo / Solitaire Game',\n", + " 'Variable Player Powers'],\n", + " ['Dice Rolling',\n", + " 'Role Playing',\n", + " 'Roll / Spin and Move',\n", + " 'Variable Player Powers'],\n", + " ['Action Point Allowance System',\n", + " 'Area Control',\n", + " 'Grid Movement',\n", + " 'Modular Board',\n", + " 'Pick-up and Deliver',\n", + " 'Set Collection',\n", + " 'Tile Placement',\n", + " 'Variable Player Powers'],\n", + " ['Card Drafting', 'Press Your Luck', 'Set Collection'],\n", + " ['Network and Route Building', 'Pick-up and Deliver', 'Worker Placement'],\n", + " ['Card Drafting', 'Deck Building', 'Hand Management'],\n", + " ['Press Your Luck', 'Set Collection', 'Take That', 'Variable Player Powers'],\n", + " ['Card Drafting', 'Deck Building', 'Hand Management'],\n", + " ['Hand Management', 'Partnerships', 'Variable Player Powers'],\n", + " ['Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Role Playing',\n", + " 'Storytelling',\n", + " 'Time Track',\n", + " 'Variable Player Powers',\n", + " 'Voting'],\n", + " [],\n", + " ['Card Drafting', 'Dice Rolling', 'Memory', 'Modular Board'],\n", + " ['Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Role Playing',\n", + " 'Variable Player Powers'],\n", + " ['Card Drafting',\n", + " 'Hand Management',\n", + " 'Network and Route Building',\n", + " 'Set Collection'],\n", + " ['Action Point Allowance System',\n", + " 'Cooperative Play',\n", + " 'Grid Movement',\n", + " 'Point to Point Movement',\n", + " 'Press Your Luck',\n", + " 'Tile Placement',\n", + " 'Variable Player Powers'],\n", + " ['Dice Rolling',\n", + " 'Engine Building',\n", + " 'Pick-up and Deliver',\n", + " 'Point to Point Movement',\n", + " 'Variable Player Powers'],\n", + " [],\n", + " ['Area Movement', 'Hand Management', 'Partnerships', 'Voting'],\n", + " ['Pattern Recognition'],\n", + " [],\n", + " ['Action Point Allowance System',\n", + " 'Network and Route Building',\n", + " 'Pick-up and Deliver'],\n", + " ['Action Point Allowance System',\n", + " 'Area Majority/ Influence',\n", + " 'Dice Rolling',\n", + " 'Grid Movement',\n", + " 'Hand Management',\n", + " 'Modular Board',\n", + " 'Trading',\n", + " 'Variable Player Powers'],\n", + " ['Action Point Allowance System',\n", + " 'Cooperative Play',\n", + " 'Modular Board',\n", + " 'Storytelling',\n", + " 'Variable Player Powers',\n", + " 'Worker Placement'],\n", + " ['Area Majority/ Influence', 'Investment', 'Ownership', 'Rondel'],\n", + " ['Card Drafting', 'Race', 'Variable Phase Order', 'Variable Player Powers'],\n", + " ['Area Control',\n", + " 'Area Majority/ Influence',\n", + " 'Area Movement',\n", + " 'Rondel',\n", + " 'Stock Holding'],\n", + " ['Betting',\n", + " 'Hand Management',\n", + " 'Player Elimination',\n", + " 'Take That',\n", + " 'Variable Player Powers'],\n", + " ['Action Point Allowance System',\n", + " 'Area Movement',\n", + " 'Card Drafting',\n", + " 'Cooperative Play',\n", + " 'Hand Management',\n", + " 'Variable Player Powers'],\n", + " ['Card Drafting'],\n", + " ['Auction', 'Hand Management', 'Tile Placement'],\n", + " [],\n", + " ['Cooperative Play', 'Role Playing', 'Storytelling'],\n", + " ['Cooperative Play', 'Hand Management', 'Variable 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'Auction',\n", + " 'Variable Player Powers'],\n", + " ['Card Drafting', 'Hand Management'],\n", + " [],\n", + " ['Dice Rolling'],\n", + " ['Area Control',\n", + " 'Area Majority/ Influence',\n", + " 'Card Drafting',\n", + " 'Hand Management',\n", + " 'Variable Setup'],\n", + " [],\n", + " ['Card Drafting',\n", + " 'Pattern Building',\n", + " 'Take That',\n", + " 'Tile Placement',\n", + " 'Variable Phase Order'],\n", + " ['Hand Management', 'Variable Player Powers'],\n", + " ['Cooperative Play'],\n", + " ['Betting', 'Hand Management'],\n", + " ['Acting', 'Storytelling', 'Voting'],\n", + " ['Action Point Allowance System', 'Dice Rolling', 'Set Collection'],\n", + " ['Dice Rolling', 'Take That', 'Variable Player Powers'],\n", + " ['Deck Building', 'Hand Management', 'Race'],\n", + " ['Worker Placement'],\n", + " ['Area Movement', 'Hand Management', 'Paper and Pencil', 'Set Collection'],\n", + " ['Auction', 'Network and Route Building', 'Tile Placement'],\n", + " ['Dice Rolling', 'Set 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Deployment',\n", + " 'Set Collection',\n", + " 'Time Track',\n", + " 'Worker Placement'],\n", + " [],\n", + " [],\n", + " ['Area Control', 'Dice Rolling', 'Modular Board', 'Variable Player Powers'],\n", + " ['Dexterity', 'Stacking and Balancing'],\n", + " [],\n", + " ['Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Modular Board',\n", + " 'Storytelling',\n", + " 'Variable Player Powers',\n", + " 'Worker Placement'],\n", + " ['Area Control',\n", + " 'Area Majority/ Influence',\n", + " 'Modular Board',\n", + " 'Variable Player Powers',\n", + " 'Worker Placement'],\n", + " ['Card Drafting', 'Deck Building', 'Hand Management'],\n", + " ['Action Point Allowance System',\n", + " 'Area Control',\n", + " 'Card Drafting',\n", + " 'Dice Rolling',\n", + " 'Set Collection'],\n", + " ['Cooperative Play',\n", + " 'Partnerships',\n", + " 'Press Your Luck',\n", + " 'Variable Player Powers'],\n", + " ['Area Control',\n", + " 'Area Majority/ Influence',\n", + " 'Dice Rolling',\n", + " 'Set Collection'],\n", + " [],\n", + " ['Card Drafting', 'Hand Management', 'Simulation'],\n", + " ['Area Movement', 'Hand Management', 'Variable Player Powers'],\n", + " ['Area Movement',\n", + " 'Card Drafting',\n", + " 'Hand Management',\n", + " 'Modular Board',\n", + " 'Tile Placement',\n", + " 'Worker Placement'],\n", + " ['Cooperative Play', 'Hidden Roles', 'Teams', 'Voting'],\n", + " ['Acting', 'Line Drawing', 'Partnerships', 'Roll / Spin and Move'],\n", + " ['Partnerships',\n", + " 'Player Elimination',\n", + " 'Role Playing',\n", + " 'Variable Player Powers'],\n", + " ['Hand Management', 'Set Collection'],\n", + " ['Cooperative Play', 'Hand Management'],\n", + " ['Pattern Recognition'],\n", + " ['Area Control',\n", + " 'Dice Rolling',\n", + " 'Set Collection',\n", + " 'Trading',\n", + " 'Variable Player Powers'],\n", + " ['Voting'],\n", + " ['Action Queue',\n", + " 'Area Majority/ Influence',\n", + " 'Dice Rolling',\n", + " 'Press Your Luck',\n", + " 'Set Collection'],\n", + " ['Card Drafting',\n", + " 'Drafting',\n", + " 'Hand Management',\n", + " 'Tableau Building',\n", + " 'Variable Player Powers'],\n", + " ['Area Majority/ Influence',\n", + " 'Auction',\n", + " 'Bidding',\n", + " 'Dice Rolling',\n", + " 'Hand Management'],\n", + " ['Area Control', 'Card Drafting'],\n", + " ['Worker Placement'],\n", + " ['Area Control',\n", + " 'Area Majority/ Influence',\n", + " 'Dice Rolling',\n", + " 'Worker Placement'],\n", + " ['Dice Rolling', 'Set Collection', 'Simultaneous Play'],\n", + " ['Network and Route Building'],\n", + " ['Area Majority/ Influence',\n", + " 'Campaign',\n", + " 'Hand Management',\n", + " 'Scenario / Mission / Campaign Game',\n", + " 'Tug of War'],\n", + " ['Pattern Building'],\n", + " [],\n", + " ['Area Control', 'Card Drafting', 'Hand Management', 'Tile Placement'],\n", + " ['Grid Movement', 'Modular Board'],\n", + " ['Hand Management', 'Trick-taking'],\n", + " ['Bluffing',\n", + " 'Deduction',\n", + " 'Dice Rolling',\n", + " 'Partnerships',\n", + " 'Player Elimination',\n", + " 'Press Your Luck',\n", + " 'Variable Player Powers'],\n", + " ['Hand Management', 'Partnerships', 'Take That'],\n", + " ['Cooperative Play', 'Deck Building'],\n", + " ['Cooperative Play', 'Storytelling'],\n", + " ['Dice Rolling',\n", + " 'Grid Movement',\n", + " 'Hidden Traitor',\n", + " 'Modular Board',\n", + " 'Player Elimination',\n", + " 'Storytelling',\n", + " 'Traitor'],\n", + " ['Cooperative Play', 'Deck Building'],\n", + " ['Pattern Building'],\n", + " ['Auction'],\n", + " ['Card Drafting',\n", + " 'Hand Management',\n", + " 'Partnerships',\n", + " 'Point to Point Movement'],\n", + " ['Set Collection'],\n", + " ['Set Collection', 'Tile Placement'],\n", + " ['Card Drafting',\n", + " 'Dice Rolling',\n", + " 'Player Elimination',\n", + " 'Press Your Luck',\n", + " 'Take That',\n", + " 'Variable Player Powers'],\n", + " ['Auction',\n", + " 'Deck Building',\n", + " 'Hand Management',\n", + " 'Network and Route Building',\n", + " 'Tile Placement',\n", + " 'Variable Player Powers',\n", + " 'Worker Placement'],\n", + " ['Hand Management', 'Player Elimination'],\n", + " ['Card Drafting',\n", + " 'Modular Board',\n", + " 'Set Collection',\n", + " 'Tile Placement',\n", + " 'Worker Placement'],\n", + " ['Action Point Allowance System', 'Auction', 'Card Drafting'],\n", + " ['Card Drafting',\n", + " 'Deck Building',\n", + " 'Point to Point Movement',\n", + " 'Press Your Luck'],\n", + " ['Hand Management',\n", + " 'Player Elimination',\n", + " 'Relative Movement',\n", + " 'Simultaneous Play'],\n", + " ['Cooperative Play', 'Hand Management', 'Storytelling'],\n", + " ['Network and Route Building', 'Stock Holding', 'Tile Placement'],\n", + " ['Dice Rolling', 'Variable Player Powers'],\n", + " ['Chit-Pull System', 'Cooperative Play', 'Hand Management', 'Trading'],\n", + " ['Cooperative Play'],\n", + " ['Card Drafting', 'Set Collection', 'Variable Player Powers'],\n", + " ['Card Drafting', 'Hand Management', 'Set Collection'],\n", + " ['Action Point Allowance System',\n", + " 'Area Movement',\n", + " 'Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Modular Board',\n", + " 'Role Playing',\n", + " 'Variable Player Powers'],\n", + " ['Area Movement',\n", + " 'Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Hand Management',\n", + " 'Time Track'],\n", + " [],\n", + " ['Area Control',\n", + " 'Auction',\n", + " 'Hand Management',\n", + " 'Partnerships',\n", + " 'Point to Point Movement',\n", + " 'Variable Player Powers'],\n", + " ['Cooperative Play', 'Deck Building'],\n", + " [],\n", + " ['Cooperative Play', 'Deck Building', 'Dice Rolling'],\n", + " ['Action / Movement Programming', 'Hand Management'],\n", + " ['Hand Management',\n", + " 'Point to Point Movement',\n", + " 'Simultaneous Play',\n", + " 'Variable Player Powers'],\n", + " ['Commodity Speculation',\n", + " 'Investment',\n", + " 'Simulation',\n", + " 'Stock Holding',\n", + " 'Worker Placement'],\n", + " ['Area Enclosure', 'Tile Placement'],\n", + " ['Area Majority/ Influence', 'Hand Management', 'Teams'],\n", + " [],\n", + " ['Dice Rolling',\n", + " 'Grid Movement',\n", + " 'Pick-up and Deliver',\n", + " 'Set Collection',\n", + " 'Trading'],\n", + " ['Dice Rolling',\n", + " 'Modular Board',\n", + " 'Pick-up and Deliver',\n", + " 'Tile Placement',\n", + " 'Trading',\n", + " 'Variable Player Powers'],\n", + " ['Action / Movement Programming',\n", + " 'Hand Management',\n", + " 'Set Collection',\n", + " 'Worker Placement'],\n", + " ['Card Drafting', 'Dice Rolling', 'Hand Management'],\n", + " [],\n", + " ['Area Enclosure', 'Hand Management', 'Tile Placement'],\n", + " ['Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Grid Movement',\n", + " 'Modular Board',\n", + " 'Role Playing',\n", + " 'Variable Player Powers'],\n", + " ['Cooperative Play', 'Storytelling'],\n", + " ['Dice Rolling', 'Press Your Luck', 'Role Playing'],\n", + " [],\n", + " ['Pattern Building'],\n", + " ['Area Control',\n", + " 'Grid Movement',\n", + " 'Modular Board',\n", + " 'Network and Route Building',\n", + " 'Pick-up and Deliver',\n", + " 'Tile Placement'],\n", + " ['Action / Movement Programming',\n", + " 'Action Queue',\n", + " 'Hand Management',\n", + " 'Modular Board',\n", + " 'Pick-up and Deliver',\n", + " 'Worker Placement'],\n", + " ['Press Your Luck', 'Take That'],\n", + " ['Action Point Allowance System',\n", + " 'Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Grid Movement',\n", + " 'Modular Board',\n", + " 'Pick-up and Deliver',\n", + " 'Variable Player Powers'],\n", + " ['Card Drafting',\n", + " 'Hand Management',\n", + " 'Point to Point Movement',\n", + " 'Network and Route Building'],\n", + " [],\n", + " ['Area Control',\n", + " 'Card Drafting',\n", + " 'Hand Management',\n", + " 'Variable Player Powers'],\n", + " ['Line Drawing', 'Network and Route Building'],\n", + " ['Dice Rolling',\n", + " 'Grid Movement',\n", + " 'Modular Board',\n", + " 'Partnerships',\n", + " 'Role Playing',\n", + " 'Roll / Spin and Move',\n", + " 'Variable Player Powers'],\n", + " ['Area Control',\n", + " 'Area Movement',\n", + " 'Hand Management',\n", + " 'Set Collection',\n", + " 'Trading'],\n", + " ['Dice Rolling',\n", + " 'Grid Movement',\n", + " 'Memory',\n", + " 'Network and Route Building',\n", + " 'Roll / Spin and Move'],\n", + " ['Deck Building', 'Dice Rolling'],\n", + " ['Area Majority/ Influence', 'Hand Management', 'Set Collection'],\n", + " ['Network and Route Building', 'Stock Holding', 'Tile Placement'],\n", + " ['Dice Rolling'],\n", + " ['Action / Movement Programming',\n", + " 'Cooperative Play',\n", + " 'Dice Rolling',\n", + " 'Modular Board',\n", + " 'Secret Unit Deployment',\n", + " 'Tile Placement',\n", + " 'Variable Player Powers'],\n", + " ['Auction', 'Set Collection'],\n", + " ['Dice Rolling', 'Pattern Recognition'],\n", + " ['Card Drafting',\n", + " 'Simultaneous Play',\n", + " 'Tile Placement',\n", + " 'Variable Phase Order'],\n", + " ['Hand Management',\n", + " 'Pick-up and Deliver',\n", + " 'Set Collection',\n", + " 'Simultaneous action selection'],\n", + " [],\n", + " ['Campaign',\n", + " 'Cooperative Play',\n", + " 'Deck Building',\n", + " 'Dice Building',\n", + " 'Dice Rolling',\n", + " 'Role Playing'],\n", + " ['Area Movement',\n", + " 'Set Collection',\n", + " 'Variable Player Powers',\n", + " 'Worker Placement'],\n", + " ['Action Point Allowance System', 'Card Drafting'],\n", + " [],\n", + " ['Dice Rolling',\n", + " 'Partnerships',\n", + " 'Point to Point Movement',\n", + " 'Secret Unit Deployment',\n", + " 'Variable Player Powers'],\n", + " ['Set Collection'],\n", + " ['Cooperative Play',\n", + " 'Deck Building',\n", + " 'Pool Building',\n", + " 'Variable Player Powers'],\n", + " ['Hand Management', 'Set Collection', 'Take That'],\n", + " ['Area Control',\n", + " 'Area Majority/ Influence',\n", + " 'Mancala',\n", + " 'Modular Board',\n", + " 'Network and Route Building',\n", + " 'Set Collection'],\n", + " [],\n", + " ['Line Drawing', 'Partnerships', 'Roll / Spin and Move'],\n", + " ['Action / Movement Programming',\n", + " 'Pick-up and Deliver',\n", + " 'Point to Point Movement'],\n", + " ...]" + ] + }, + "execution_count": 929, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#for i in copy_notencoded_df['BG_mechanics']:\n", + "# \n", + "# #print(i)\n", + "# for e in i:\n", + "# for key, value in swapping_dict_mec.items(): \n", + "# for e_value in e.values():\n", + "# #print(e_value)\n", + "# if e_value == key:\n", + "# e['id'] = value\n", + "# \n", + "#swapping_dict_cat_df['BG_categories']\n", + "\n", + "another_list2 = []\n", + "\n", + "for i in copy_notencoded_df['BG_mechanics']:\n", + " #print(i)\n", + " \n", + " empty_list2 = []\n", + " for e in i:\n", + " v = list(e.values())\n", + " for z in v:\n", + " \n", + " empty_list2.append(z)\n", + " another_list2.append(empty_list2)\n", + " \n", + "\n", + "\n", + "\n", + "empty_2nd_list = []\n", + " \n", + "for i in another_list2:\n", + " another_empty_list = []\n", + " for e in i:\n", + " \n", + " if e.startswith('https'):\n", + " del(e)\n", + " else:\n", + " another_empty_list.append(e) \n", + "\n", + "\n", + " empty_2nd_list.append(another_empty_list)\n", + "#another_empty_list\n", + "empty_2nd_list" + ] + }, + { + "cell_type": "code", + "execution_count": 965, + "id": "97166372", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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'https://www.boardgameatlas.com/mechanic/mGBzR68m8Z/undefined'}, {'id': 'Deck Building', 'url': 'https://www.boardgameatlas.com/mechanic/vZsDDAdOoe/undefined'}, {'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Area Majority/ Influence', 'url': 'https://www.boardgameatlas.com/mechanic/9NBcz45nN7/undefined'}, {'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Set Collection', 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'}, {'id': 'Network and Route Building', 'url': 'https://www.boardgameatlas.com/mechanic/ohABM4GjbC/undefined'}, {'id': 'Stock Holding', 'url': 'https://www.boardgameatlas.com/mechanic/jbLrZb1xIb/undefined'}, {'id': 'Tile Placement', 'url': 'https://www.boardgameatlas.com/mechanic/8PN2HE86wg/undefined'}, {'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Action / Movement Programming', 'url': 'https://www.boardgameatlas.com/mechanic/PGjmKGi26h/undefined'}, {'id': 'Cooperative Play', 'url': 'https://www.boardgameatlas.com/mechanic/9mNukNBxfZ/undefined'}, {'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Modular Board', 'url': 'https://www.boardgameatlas.com/mechanic/U3zhCQH7Et/undefined'}, {'id': 'Secret Unit Deployment', 'url': 'https://www.boardgameatlas.com/mechanic/RwgEONzIzc/undefined'}, {'id': 'Tile Placement', 'url': 'https://www.boardgameatlas.com/mechanic/8PN2HE86wg/undefined'}, {'id': 'Variable Player Powers', 'url': 'https://www.boardgameatlas.com/mechanic/XM2FYZmBHH/undefined'}, {'id': 'Auction', 'url': 'https://www.boardgameatlas.com/mechanic/AZxlPpi5oq/undefined'}, {'id': 'Set Collection', 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'}, {'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Pattern Recognition', 'url': 'https://www.boardgameatlas.com/mechanic/uZJS07nXF5/undefined'}, {'id': 'Card Drafting', 'url': 'https://www.boardgameatlas.com/mechanic/iWODHwRGuU/undefined'}, {'id': 'Simultaneous Play', 'url': 'https://www.boardgameatlas.com/mechanic/DEvPj5twid/undefined'}, {'id': 'Tile Placement', 'url': 'https://www.boardgameatlas.com/mechanic/8PN2HE86wg/undefined'}, {'id': 'Variable Phase Order', 'url': 'https://www.boardgameatlas.com/mechanic/zzsE4jtI1b/undefined'}, {'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Pick-up and Deliver', 'url': 'https://www.boardgameatlas.com/mechanic/BbTMRkwL0b/undefined'}, {'id': 'Set Collection', 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'}, {'id': 'Simultaneous action selection', 'url': 'https://www.boardgameatlas.com/mechanic/za4PP1LH00/undefined'}, {'id': 'Campaign', 'url': 'https://www.boardgameatlas.com/mechanic/xuphiSlrxI/undefined'}, {'id': 'Cooperative Play', 'url': 'https://www.boardgameatlas.com/mechanic/9mNukNBxfZ/undefined'}, {'id': 'Deck Building', 'url': 'https://www.boardgameatlas.com/mechanic/vZsDDAdOoe/undefined'}, {'id': 'Dice Building', 'url': 'https://www.boardgameatlas.com/mechanic/lVSHu9efHv/undefined'}, {'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Role Playing', 'url': 'https://www.boardgameatlas.com/mechanic/EVeAdboGUA/undefined'}, {'id': 'Area Movement', 'url': 'https://www.boardgameatlas.com/mechanic/bgGxE0pI2B/undefined'}, {'id': 'Set Collection', 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'}, {'id': 'Variable Player Powers', 'url': 'https://www.boardgameatlas.com/mechanic/XM2FYZmBHH/undefined'}, {'id': 'Worker Placement', 'url': 'https://www.boardgameatlas.com/mechanic/fBOTEBUAmV/undefined'}, {'id': 'Action Point Allowance System', 'url': 'https://www.boardgameatlas.com/mechanic/oeg6wN9Eoc/undefined'}, {'id': 'Card Drafting', 'url': 'https://www.boardgameatlas.com/mechanic/iWODHwRGuU/undefined'}, {'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Partnerships', 'url': 'https://www.boardgameatlas.com/mechanic/GNtouC8NLm/undefined'}, {'id': 'Point to Point Movement', 'url': 'https://www.boardgameatlas.com/mechanic/MEAoOygZsA/undefined'}, {'id': 'Secret Unit Deployment', 'url': 'https://www.boardgameatlas.com/mechanic/RwgEONzIzc/undefined'}, {'id': 'Variable Player Powers', 'url': 'https://www.boardgameatlas.com/mechanic/XM2FYZmBHH/undefined'}, {'id': 'Set Collection', 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'}, {'id': 'Cooperative Play', 'url': 'https://www.boardgameatlas.com/mechanic/9mNukNBxfZ/undefined'}, {'id': 'Deck Building', 'url': 'https://www.boardgameatlas.com/mechanic/vZsDDAdOoe/undefined'}, {'id': 'Pool Building', 'url': 'https://www.boardgameatlas.com/mechanic/ea1eaPBQn8/undefined'}, {'id': 'Variable Player Powers', 'url': 'https://www.boardgameatlas.com/mechanic/XM2FYZmBHH/undefined'}, {'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Set Collection', 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'}, {'id': 'Take That', 'url': 'https://www.boardgameatlas.com/mechanic/T8JEFYwoqy/undefined'}, {'id': 'Area Control', 'url': 'https://www.boardgameatlas.com/mechanic/05zCZoLvQJ/undefined'}, {'id': 'Area Majority/ Influence', 'url': 'https://www.boardgameatlas.com/mechanic/9NBcz45nN7/undefined'}, {'id': 'Mancala', 'url': 'https://www.boardgameatlas.com/mechanic/ar56ACXDNe/undefined'}, {'id': 'Modular Board', 'url': 'https://www.boardgameatlas.com/mechanic/U3zhCQH7Et/undefined'}, {'id': 'Network and Route Building', 'url': 'https://www.boardgameatlas.com/mechanic/ohABM4GjbC/undefined'}, {'id': 'Set Collection', 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'}, {'id': 'Line Drawing', 'url': 'https://www.boardgameatlas.com/mechanic/MaXzmoZUoX/undefined'}, {'id': 'Partnerships', 'url': 'https://www.boardgameatlas.com/mechanic/GNtouC8NLm/undefined'}, {'id': 'Roll / Spin and Move', 'url': 'https://www.boardgameatlas.com/mechanic/mGBzR68m8Z/undefined'}, {'id': 'Action / Movement Programming', 'url': 'https://www.boardgameatlas.com/mechanic/PGjmKGi26h/undefined'}, {'id': 'Pick-up and Deliver', 'url': 'https://www.boardgameatlas.com/mechanic/BbTMRkwL0b/undefined'}, {'id': 'Point to Point Movement', 'url': 'https://www.boardgameatlas.com/mechanic/MEAoOygZsA/undefined'}, {'id': 'Stock Holding', 'url': 'https://www.boardgameatlas.com/mechanic/jbLrZb1xIb/undefined'}, {'id': 'Worker Placement', 'url': 'https://www.boardgameatlas.com/mechanic/fBOTEBUAmV/undefined'}, {'id': 'Auction', 'url': 'https://www.boardgameatlas.com/mechanic/AZxlPpi5oq/undefined'}, {'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Market', 'url': 'https://www.boardgameatlas.com/mechanic/wPcKOr57ig/undefined'}, {'id': 'Variable Phase Order', 'url': 'https://www.boardgameatlas.com/mechanic/zzsE4jtI1b/undefined'}, {'id': 'Voting', 'url': 'https://www.boardgameatlas.com/mechanic/JYYdBW6UCE/undefined'}, {'id': 'Action Point Allowance System', 'url': 'https://www.boardgameatlas.com/mechanic/oeg6wN9Eoc/undefined'}, {'id': 'Card Drafting', 'url': 'https://www.boardgameatlas.com/mechanic/iWODHwRGuU/undefined'}, {'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Set Collection', 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'}, {'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Player Elimination', 'url': 'https://www.boardgameatlas.com/mechanic/BGrhzIN69D/undefined'}, {'id': 'Role Playing', 'url': 'https://www.boardgameatlas.com/mechanic/EVeAdboGUA/undefined'}, {'id': 'Take That', 'url': 'https://www.boardgameatlas.com/mechanic/T8JEFYwoqy/undefined'}, {'id': 'Area Movement', 'url': 'https://www.boardgameatlas.com/mechanic/bgGxE0pI2B/undefined'}, {'id': 'Card Drafting', 'url': 'https://www.boardgameatlas.com/mechanic/iWODHwRGuU/undefined'}, {'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Role Playing', 'url': 'https://www.boardgameatlas.com/mechanic/EVeAdboGUA/undefined'}, {'id': 'Area Control', 'url': 'https://www.boardgameatlas.com/mechanic/05zCZoLvQJ/undefined'}, {'id': 'Card Drafting', 'url': 'https://www.boardgameatlas.com/mechanic/iWODHwRGuU/undefined'}, {'id': 'Cooperative Play', 'url': 'https://www.boardgameatlas.com/mechanic/9mNukNBxfZ/undefined'}, {'id': 'Worker Placement', 'url': 'https://www.boardgameatlas.com/mechanic/fBOTEBUAmV/undefined'}, {'id': 'Action / Movement Programming', 'url': 'https://www.boardgameatlas.com/mechanic/PGjmKGi26h/undefined'}, {'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Grid Movement', 'url': 'https://www.boardgameatlas.com/mechanic/qu5BcGjAzk/undefined'}, {'id': 'Partnerships', 'url': 'https://www.boardgameatlas.com/mechanic/GNtouC8NLm/undefined'}, {'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Memory', 'url': 'https://www.boardgameatlas.com/mechanic/r6yIFvyXDD/undefined'}, {'id': 'Partnerships', 'url': 'https://www.boardgameatlas.com/mechanic/GNtouC8NLm/undefined'}, {'id': 'Player Elimination', 'url': 'https://www.boardgameatlas.com/mechanic/BGrhzIN69D/undefined'}, {'id': 'Take That', 'url': 'https://www.boardgameatlas.com/mechanic/T8JEFYwoqy/undefined'}, {'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Player Elimination', 'url': 'https://www.boardgameatlas.com/mechanic/BGrhzIN69D/undefined'}, {'id': 'Grid Movement', 'url': 'https://www.boardgameatlas.com/mechanic/qu5BcGjAzk/undefined'}, {'id': 'Grid Movement', 'url': 'https://www.boardgameatlas.com/mechanic/qu5BcGjAzk/undefined'}, {'id': 'Area Movement', 'url': 'https://www.boardgameatlas.com/mechanic/bgGxE0pI2B/undefined'}, {'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Variable Player Powers', 'url': 'https://www.boardgameatlas.com/mechanic/XM2FYZmBHH/undefined'}, {'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Modular Board', 'url': 'https://www.boardgameatlas.com/mechanic/U3zhCQH7Et/undefined'}, {'id': 'Point to Point Movement', 'url': 'https://www.boardgameatlas.com/mechanic/MEAoOygZsA/undefined'}, {'id': 'Network and Route Building', 'url': 'https://www.boardgameatlas.com/mechanic/ohABM4GjbC/undefined'}, {'id': 'Card Drafting', 'url': 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{ + "cell_type": "code", + "execution_count": 1057, + "id": "c6703069", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "266" + ] + }, + "execution_count": 1057, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(last_last_copy.columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 1061, + "id": "8b7f3e00", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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1020 rows × 214 columns

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" + ], + "text/plain": [ + " 3dFd0RwsY4 Acting Action / Movement Programming Action Drafting \\\n", + "0 0 0 1 0 \n", + "1 0 0 0 0 \n", + "2 0 0 0 0 \n", + "3 0 0 0 0 \n", + "4 0 0 0 0 \n", + "... ... ... ... ... \n", + "1015 0 0 0 0 \n", + "1016 0 0 0 0 \n", + "1017 0 0 0 0 \n", + "1018 0 0 0 0 \n", + "1019 0 0 0 0 \n", + "\n", + " Action Point Allowance System Action Queue Action Selection \\\n", + "0 0 1 0 \n", + "1 0 0 1 \n", + "2 0 0 0 \n", + "3 0 0 0 \n", + "4 0 0 0 \n", + "... ... ... ... \n", + "1015 0 0 0 \n", + "1016 0 0 0 \n", + "1017 0 0 0 \n", + "1018 0 0 0 \n", + "1019 1 0 0 \n", + "\n", + " Alliances Area Control Area Enclosure ... Trains Transportation \\\n", + "0 0 1 0 ... 0 0 \n", + "1 0 1 0 ... 0 0 \n", + "2 0 0 0 ... 0 0 \n", + "3 0 0 0 ... 0 0 \n", + "4 0 1 0 ... 0 0 \n", + "... ... ... ... ... ... ... \n", + "1015 0 0 0 ... 0 0 \n", + "1016 0 0 0 ... 0 0 \n", + "1017 0 0 0 ... 0 0 \n", + "1018 0 0 0 ... 0 0 \n", + "1019 0 0 0 ... 0 0 \n", + "\n", + " Travel Trivia Video Game Theme Wargame Werewolves Word Game \\\n", + "0 0 0 0 0 0 0 \n", + "1 0 0 0 0 0 0 \n", + "2 0 0 0 0 0 0 \n", + "3 0 0 0 0 0 0 \n", + "4 0 0 0 0 0 0 \n", + "... ... ... ... ... ... ... \n", + "1015 0 0 0 0 0 0 \n", + "1016 0 0 0 0 0 0 \n", + "1017 0 0 0 0 0 0 \n", + "1018 0 0 0 0 0 0 \n", + "1019 0 0 0 0 0 0 \n", + "\n", + " World War II Zombies \n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 \n", + "... ... ... \n", + "1015 0 0 \n", + "1016 0 0 \n", + "1017 0 0 \n", + "1018 0 0 \n", + "1019 0 0 \n", + "\n", + "[1020 rows x 214 columns]" + ] + }, + "execution_count": 1061, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "for i in range(0, len(last_last_copy.columns)):\n", + " try:\n", + " if (last_last_copy[last_last_copy.columns[i]].sum()) <= 1:\n", + " last_last_copy.drop(last_last_copy.columns[i], 1, inplace = True)\n", + " except TypeError:\n", + " g = i # echale un vistazo a esto más profundamente Ema, es una idea muy buena, así averiguas en que punto tienes el TypeError\n", + " except IndexError:\n", + " continue\n", + "\n", + "\n", + "last_last_copy" + ] + }, + { + "cell_type": "code", + "execution_count": 1063, + "id": "aed9e779", + "metadata": {}, + "outputs": [], + "source": [ + "final_copy = last_last_copy.drop(columns = last_last_copy.columns[g])" + ] + }, + { + "cell_type": "markdown", + "id": "04fc2025", + "metadata": {}, + "source": [ + "##### Replacing id values in columns Mechanics & Categories " + ] + }, + { + "cell_type": "code", + "execution_count": 938, + "id": "22b2fafb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 False\n", + "1 False\n", + "2 False\n", + "3 False\n", + "4 False\n", + " ... \n", + "126 False\n", + "127 False\n", + "128 False\n", + "129 False\n", + "130 False\n", + "Name: BG Category Name, Length: 131, dtype: bool" + ] + }, + "execution_count": 938, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "DF_BG_cat_comparison = pd.DataFrame(list(zip(BGlist_cat_id, BGlist_cat_name)),columns =['BG Category ID', 'BG Category Name'])\n", + "\n", + "Sample_categoriesBG = DF_BG_cat_comparison.sample(10)\n", + "\n", + "\n", + "\n", + "Sample_categoriesBG\n", + "DF_BG_cat_comparison" + ] + }, + { + "cell_type": "code", + "execution_count": 797, + "id": "d5908a65", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'id': 'a8aQcCQITb',\n", + " 'name': 'Council of 4',\n", + " 'url': 'https://www.boardgameatlas.com/game/a8aQcCQITb/',\n", + " 'price': '34.95',\n", + " 'msrp': '59.99',\n", + " 'min_players': 2,\n", + " 'max_players': 4,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1587569922755',\n", + " 'mechanics': [{'id': 'WPytek5P8l'},\n", + " {'id': 'U3zhCQH7Et'},\n", + " {'id': 'MEAoOygZsA'},\n", + " {'id': 'ohABM4GjbC'}],\n", + " 'categories': [],\n", + " 'average_user_rating': 3.644736842105263,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0}]" + ] + }, + "execution_count": 797, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "game_checker('Council of 4') # Enter name of game" + ] + }, + { + "cell_type": "code", + "execution_count": 747, + "id": "7fe883a5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Dogs of War'" + ] + }, + "execution_count": 747, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "#tylen(efe_list2)\n", + "#tylen(efe_list[33]) # NO ERRORS TILL LIST Nº33 - JUST 2 DICTS (BGs) IN IT therefore 32*30 + 2 last games = 962 BOARDGAMES\n", + "\n", + "#tylen(efe_list2[0])\n", + "#efe_list2\n", + "\n", + "efe_list = []\n", + "efe_list3 = []\n", + "\n", + "for request in range(990,1020,30):\n", + " efe3 = BG_requester(request)\n", + " efe_list3.append(efe3)\n", + "\n", + "tylen(efe_list3)\n", + "efe_list3[0][\"games\"][-1][\"name\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 767, + "id": "50eaa16a", + "metadata": {}, + "outputs": [], + "source": [ + "def game_checker(name):\n", + " #name = ''\n", + " check_bgatlas = requests.get(url = f'https://api.boardgameatlas.com/api/search?name={name}&client_id=U3E6STzUeQ&limit=1&skip=0&fields=id,name,url,image_url,price,msrp,min_players,max_players,mechanics,categories,average_learning_complexity,categories,average_learning_complexity,average_strategy_complexity,average_user_rating')\n", + " check_databg = json.loads(check_bgatlas.text)\n", + " \n", + " return check_databg[\"games\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 437, + "id": "154def54", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "30\n", + "\n" + ] + } + ], + "source": [ + "search_all = ''\n", + "\n", + "for page in range(0,750,30):\n", + " FULLREQ_bgatlas = requests.get(url = f'https://api.boardgameatlas.com/api/search?name={search_all}&client_id=U3E6STzUeQ&limit=30&skip={page}&fields=id,name,url,image_url,price,msrp,min_players,max_players,mechanics,categories,average_learning_complexity,categories,average_learning_complexity,average_strategy_complexity,average_user_rating')\n", + " FULLREQ_databg = json.loads(FULLREQ_bgatlas.text)\n", + " for i in range(0, len(FULLREQ_databg[\"games\"])):\n", + " #BG_id = FULLREQ_databg[\"games\"][i][\"id\"]\n", + " BG_name_test = FULLREQ_databg[\"games\"][i][\"name\"]\n", + " #id_values.append(BG_id)\n", + " name_values_test = []\n", + " name_values_test.append(BG_name_test)\n", + "\n", + "print(len(FULLREQ_databg[\"games\"]))\n", + "\n", + "print(type(name_values_test))" + ] + }, + { + "cell_type": "code", + "execution_count": 440, + "id": "8515477a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "list" + ] + }, + "execution_count": 440, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#FULLREQ_databg[\"games\"][1]['name']\n", + "\n", + "#name_values_test\n", + "\n", + "FULLREQ_databg[\"games\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 425, + "id": "836fe599", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Root',\n", + " 'Scythe',\n", + " 'Wingspan',\n", + " 'Gloomhaven',\n", + " 'Terraforming Mars',\n", + " 'Azul',\n", + " 'Pandemic',\n", + " 'Viticulture: Essential Edition',\n", + " 'Spirit Island',\n", + " '7 Wonders',\n", + " '7 Wonders Duel',\n", + " 'Codenames',\n", + " 'Carcassonne',\n", + " 'The Castles of Burgundy',\n", + " 'Splendor',\n", + " 'Pandemic Legacy: Season 1',\n", + " 'Ticket To Ride',\n", + " 'Concordia',\n", + " 'Everdell',\n", + " 'Brass: Birmingham',\n", + " 'Catan',\n", + " 'Patchwork',\n", + " 'Santorini',\n", + " 'The Quacks of Quedlinburg',\n", + " 'Race for the Galaxy',\n", + " 'Jaipur',\n", + " 'Great Western Trail',\n", + " 'Lords of Waterdeep',\n", + " 'King of Tokyo',\n", + " 'Kingdomino']" + ] + }, + "execution_count": 425, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "search_all = ''\n", + "\n", + "FULLREQ_bgatlas = requests.get(url = f'https://api.boardgameatlas.com/api/search?name={search_all}&client_id=U3E6STzUeQ&limit=30&skip=0&fields=id,name,url,image_url,price,msrp,min_players,max_players,mechanics,categories,average_learning_complexity,categories,average_learning_complexity,average_strategy_complexity,average_user_rating')\n", + "\n", + "FULLREQ_databg = json.loads(FULLREQ_bgatlas.text)\n", + "\n", + "id_values = []\n", + "name_values = []\n", + "\n", + "len(FULLREQ_databg[\"games\"])#[1][\"id\"]\n", + "\n", + "#test_dict = pd.DataFrame(list(zip(id_values, name_values)),columns =['BG_ID', 'BG_Name'])\n", + "\n", + "#DF_BG_cat_comparison = pd.DataFrame(list(zip(BGlist_cat_id, BGlist_cat_name)),columns =['BG Category ID', 'BG Category Name'])\n", + "\n", + "#test_df = pd.DataFrame\n", + "\n", + "for i in range(0, len(FULLREQ_databg[\"games\"])):\n", + " BG_id = FULLREQ_databg[\"games\"][i][\"id\"]\n", + " BG_name = FULLREQ_databg[\"games\"][i][\"name\"]\n", + " id_values.append(BG_id)\n", + " name_values.append(BG_name)\n", + " \n", + "name_values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7b3b4d0d", + "metadata": {}, + "outputs": [], + "source": [ + "for i in range(0, len(FULLREQ_databg[\"games\"])):\n", + " id_values = []\n", + " name_values = []\n", + " \n", + " \n", + " BG_id = FULLREQ_databg[\"games\"][i][\"id\"]\n", + " BG_name = FULLREQ_databg[\"games\"][i][\"name\"]\n", + " id_values.append(BG_name)\n", + " name_values.append(BG_id)\n", + " \n", + "\n", + "id_values\n", + "\n", + "\n", + "\n", + "#name_values\n" + ] + }, + { + "cell_type": "code", + "execution_count": 391, + "id": "4c3f5e62", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'games': [{'id': 'T5lx9elSDt',\n", + " 'handle': 'love-letter',\n", + " 'url': 'https://www.boardgameatlas.com/game/T5lx9elSDt/love-letter',\n", + " 'name': 'Love Letter',\n", + " 'price': '9.34',\n", + " 'price_ca': '9.95',\n", + " 'price_uk': '9.59',\n", + " 'price_au': '17.95',\n", + " 'msrp': 9.99,\n", + " 'msrps': [{'country': 'US', 'price': 9.99},\n", + " {'country': 'UK', 'price': 0},\n", + " {'country': 'AU', 'price': 0},\n", + " {'country': 'CA', 'price': 13.99}],\n", + " 'discount': '0.07',\n", + " 'year_published': 2012,\n", + " 'min_players': 2,\n", + " 'max_players': 4,\n", + " 'min_playtime': 20,\n", + " 'max_playtime': 20,\n", + " 'min_age': 10,\n", + " 'description': \"

All of the eligible young men (and many of the not-so-young) seek to woo the princess of Tempest. Unfortunately, she has locked herself in the Palace, and you must rely on others to bring your romantic letters to her. Will yours reach her first?

\\r\\n

Love Letter is a game of risk, deduction, and luck for 2 to 4 players. Your goal is to get your love letter into Princess Annette's hands while deflecting the letters from competing suitors. From a deck with only sixteen cards, each player starts with only one card in hand; one card is removed from play. On a turn, you draw one card, and play one card, trying to expose others and knock them from the game. Powerful cards lead to early gains, but make you a target. Rely on weaker cards for too long, however, and your letter may be tossed in the fire.

\\r\\n

Munchkin Loot Letter:

\\r\\n

Steal the treasure and backstab your friends - without all of the silly card-playing stuff. Well, without some of it. OK, without all but 16 cards of it, at least.\\xa0Munchkin Loot Letter\\xa0is a game of risk, deduction, and luck for 2-4 players.

\\r\\n

Love Letter: Legend of the Five Rings:

\\r\\n

Love and Honor. A vision of loveliness and poise, Iweko Miaka’s position of princess in the Imperial family ensures her betrothal will be a great contest for the samurai clans of the Emerald Empire. Whichever clan can win her as a wife for one of their young samurai will secure standing and glory for decades to come. And though the marriage may be political, what better way to influence the decision than by winning the heart of the princess herself?

\\r\\n

Letters to Santa:

\\r\\n

If you want all of your Christmas wishes brought by the big guy, you’ll need to make sure your letter makes it to him. The closer you get the letter to Santa, the more likely you are to win! But watch out for the wily Krampus, out to dash your yuletide dreams!

\\r\\n

Letters to Santa is a game of risk, deduction, and luck for 2–4 players. Your goal is to get your letter into Santa's hands while deflecting the letters from others. From a deck with only sixteen cards, each player starts with only one card in hand; one card is removed from play. On a turn, you draw one card, and play one card, trying to expose others and knock them from the game. Powerful cards lead to early gains, but make you a target. Rely on weaker cards for too long, however, and your letter may be tossed in the fire!

\",\n", + " 'commentary': '',\n", + " 'faq': '',\n", + " 'thumb_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1540911025441',\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1540911025441',\n", + " 'matches_specs': None,\n", + " 'specs': [],\n", + " 'mechanics': [{'id': 'WPytek5P8l',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'},\n", + " {'id': 'BGrhzIN69D',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/BGrhzIN69D/undefined'}],\n", + " 'categories': [{'id': 'eX8uuNlQkQ',\n", + " 'url': 'https://www.boardgameatlas.com/category/eX8uuNlQkQ/undefined'}],\n", + " 'publishers': [{'id': 'UPqP0MXLqj',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/UPqP0MXLqj/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'm4T08lQftL',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/m4T08lQftL/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'YGTsCemTRg',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/YGTsCemTRg/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'r2R8bUHIRD',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/r2R8bUHIRD/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'mGVCPaJvDN',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/mGVCPaJvDN/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'RwAn1jcccC',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/RwAn1jcccC/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'AFrvydyTXB',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/AFrvydyTXB/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': '2HZ1lVzKhv',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/2HZ1lVzKhv/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'FG63HUGsWf',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/FG63HUGsWf/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'dpuLm6EfnY',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/dpuLm6EfnY/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'uUXTHHVIcL',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/uUXTHHVIcL/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'SXnhc3S9lv',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/SXnhc3S9lv/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'vJkLBDgn1j',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/vJkLBDgn1j/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'Fn8zCUvgwd',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/Fn8zCUvgwd/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': '1TaoBxZ3GH',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/1TaoBxZ3GH/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'O1FoP0btED',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/O1FoP0btED/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'hWrqQbrcRh',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/hWrqQbrcRh/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'UMssR9EGlp',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/UMssR9EGlp/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'fDPIGnhuEf',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/fDPIGnhuEf/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'J8pMyONAQy',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/J8pMyONAQy/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'Dyf2KZVrVf',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/Dyf2KZVrVf/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'CFyCoJR7q0',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/CFyCoJR7q0/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': '134bN9cRFH',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 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'msrp_text': '$9.99',\n", + " 'price_text': '$9.34',\n", + " 'tags': ['Munchkin Loot Letter',\n", + " 'Love Letter: Legend of the Five Rings',\n", + " 'Letters to Santa',\n", + " 'Love Letter: Wedding Edition',\n", + " 'Love Letter Boxed Edition',\n", + " 'Love Letter Small Box Edition',\n", + " 'Alderac Entertainment Group Love Letter Boxed Edition',\n", + " 'Love Letter - Kanai Factory Edition',\n", + " 'Alderac Entertainment Group Munchkin Loot Letter Boxed Edition Board Game, Multicolor',\n", + " 'AEG Munchkin Loot Letter Clamshell Edition Game',\n", + " 'Love Letter Legend of the Five Rings Edition',\n", + " 'Love Letter',\n", + " 'Clamshell Loot Letter',\n", + " 'Boxed Edition Loot Letter',\n", + " 'Love Letter Clamshell'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1540911025441',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1540911025441',\n", + " 'medium': 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Unfortunately, she has locked herself in the Palace, and you must rely on others to bring your romantic letters to her. Will yours reach her first? \\r\\n Love Letter is a game of risk, deduction, and luck for 2 to 4 players. Your goal is to get your love letter into Princess Annette's hands while deflecting the letters from competing suitors. From a deck with only sixteen cards, each player starts with only one card in hand; one card is removed from play. On a turn, you draw one card, and play one card, trying to expose others and knock them from the game. Powerful cards lead to early gains, but make you a target. Rely on weaker cards for too long, however, and your letter may be tossed in the fire. \\r\\n Munchkin Loot Letter: \\r\\n Steal the treasure and backstab your friends - without all of the silly card-playing stuff. Well, without some of it. OK, without all but 16 cards of it, at least.\\xa0 Munchkin Loot Letter \\xa0is a game of risk, deduction, and luck for 2-4 players. \\r\\n Love Letter: Legend of the Five Rings: \\r\\n Love and Honor. A vision of loveliness and poise, Iweko Miaka’s position of princess in the Imperial family ensures her betrothal will be a great contest for the samurai clans of the Emerald Empire. Whichever clan can win her as a wife for one of their young samurai will secure standing and glory for decades to come. And though the marriage may be political, what better way to influence the decision than by winning the heart of the princess herself? \\r\\n Letters to Santa: \\r\\n If you want all of your Christmas wishes brought by the big guy, you’ll need to make sure your letter makes it to him. The closer you get the letter to Santa, the more likely you are to win! But watch out for the wily Krampus, out to dash your yuletide dreams! \\r\\n Letters to Santa is a game of risk, deduction, and luck for 2–4 players. Your goal is to get your letter into Santa's hands while deflecting the letters from others. From a deck with only sixteen cards, each player starts with only one card in hand; one card is removed from play. On a turn, you draw one card, and play one card, trying to expose others and knock them from the game. Powerful cards lead to early gains, but make you a target. Rely on weaker cards for too long, however, and your letter may be tossed in the fire! \"},\n", + " {'id': 'omFfdCNOD1',\n", + " 'handle': 'architects-of-the-west-kingdom',\n", + " 'url': 'https://www.boardgameatlas.com/game/omFfdCNOD1/architects-of-the-west-kingdom',\n", + " 'name': 'Architects of the West Kingdom',\n", + " 'price': '34.95',\n", + " 'price_ca': '49.95',\n", + " 'price_uk': '36.79',\n", + " 'price_au': '74.95',\n", + " 'msrp': 55,\n", + " 'msrps': [{'country': 'CA', 'price': 0},\n", + " {'country': 'UK', 'price': 0},\n", + " {'country': 'US', 'price': 55}],\n", + " 'discount': '0.36',\n", + " 'year_published': 2018,\n", + " 'min_players': 1,\n", + " 'max_players': 5,\n", + " 'min_playtime': 60,\n", + " 'max_playtime': 80,\n", + " 'min_age': 12,\n", + " 'description': \"

Architects of the West Kingdom is set at the end of the Carolingian Empire, circa 850 AD. As royal architects, players compete to impress their King and maintain their noble status by constructing various landmarks throughout his newly appointed domain.

\\r\\n

Players will need to collect raw materials, hire apprentices and keep a watchful eye on their workforce. These are treacherous times. Rival architects will stop at nothing to slow your progress. Will you remain virtuous, or be found in the company of thieves and black marketeers?

The aim of Architects of the West Kingdom is to be the player with the most Victory Points (VP) at the game's end. Points are gained by constructing various Buildings and advancing work on the Archbishop's Cathedral. Throughout the game, players will need to make a lot of moral decisions. However, only at the game's end will their virtue be judged. A few underhanded deals here and there might not seem like much, but fall too far and you will be punished. The game ends once a set number of constructions have been completed.

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'large': None,\n", + " 'original': None}},\n", + " {'id': 'hMLn1S5L6O',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/designer/hMLn1S5L6O/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'primary_publisher': {'id': 'kkhAInYvqI',\n", + " 'name': 'Garphill Games',\n", + " 'url': 'https://www.boardgameatlas.com/publisher/kkhAInYvqI/garphill-games'},\n", + " 'primary_designer': {'id': 'IOid3IYMbR',\n", + " 'name': 'S J Macdonald',\n", + " 'url': 'https://www.boardgameatlas.com/designer/IOid3IYMbR/s-j-macdonald'},\n", + " 'developers': [],\n", + " 'related_to': [],\n", + " 'artists': ['Mihajlo Dimitrievski'],\n", + " 'names': [],\n", + " 'rules_url': 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'date': '2021-06-11T00:30:47.827Z',\n", + " 'price': 34.95,\n", + " 'isLow': False},\n", + " {'country': 'UK',\n", + " 'date': '2021-06-23T05:26:31.185Z',\n", + " 'price': 36.79,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 4,\n", + " 'average_learning_complexity': 2.5,\n", + " 'average_strategy_complexity': 3.25,\n", + " 'visits': 3483,\n", + " 'lists': 1058,\n", + " 'mentions': 188,\n", + " 'links': 30,\n", + " 'plays': 1422,\n", + " 'rank': 32,\n", + " 'type': 'game',\n", + " 'sku': 'REN2069',\n", + " 'upc': '810011720695',\n", + " 'num_distributors': 1,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 15,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$55.00',\n", + " 'price_text': '$34.95',\n", + " 'tags': ['Architecten van het westelijk koninkrijk',\n", + " \"Architectes du royaume de l'ouest\",\n", + " 'Architekten des Westfrankenreichs',\n", + " 'Architekti Západního království',\n", + " 'Architetti del Regno Occidentale',\n", + " 'Arquitectos del Reino del Oeste',\n", + " 'Arquitetos do Reino Ocidental',\n", + " 'A nyugati királyság építőmesterei',\n", + " '西國建築師',\n", + " '西方王国建筑师',\n", + " '서쪽 왕국의 건축가',\n", + " 'Architects of the West Kingdom',\n", + " 'Architects of the West Kingdoms',\n", + " 'Architects of the West Kingdom w Age of Artisans',\n", + " 'Architects of the West Kingdom board game'],\n", + " 'images': {'thumb': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/architects-of-the-west-kingdom-board-game.jpg?v=1609628753',\n", + " 'small': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/architects-of-the-west-kingdom-board-game.jpg?v=1609628753',\n", + " 'medium': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/architects-of-the-west-kingdom-board-game.jpg?v=1609628753',\n", + " 'large': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/architects-of-the-west-kingdom-board-game.jpg?v=1609628753',\n", + " 'original': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/architects-of-the-west-kingdom-board-game.jpg?v=1609628753'},\n", + " 'description_preview': \" Architects of the West Kingdom is set at the end of the Carolingian Empire, circa 850 AD. 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The game ends once a set number of constructions have been completed. \"},\n", + " {'id': '07FXm6tX4o',\n", + " 'handle': 'clank-a-deckbuilding-adventure',\n", + " 'url': 'https://www.boardgameatlas.com/game/07FXm6tX4o/clank-a-deckbuilding-adventure',\n", + " 'name': 'Clank! A Deck-Building Adventure',\n", + " 'price': '40.99',\n", + " 'price_ca': '47.71',\n", + " 'price_uk': '41.49',\n", + " 'price_au': '79.99',\n", + " 'msrp': 60,\n", + " 'msrps': [{'country': 'UK', 'price': 55.99},\n", + " {'country': 'US', 'price': 60}],\n", + " 'discount': '0.32',\n", + " 'year_published': 2012,\n", + " 'min_players': 2,\n", + " 'max_players': 4,\n", + " 'min_playtime': 30,\n", + " 'max_playtime': 60,\n", + " 'min_age': 13,\n", + " 'description': \"

Burgle your way to adventure in Clank!, the new deck-building board game.

Sneak into an angry dragon's mountain lair to steal precious artifacts. Delve deeper to find more valuable loot. Acquire cards for your deck and watch your thievish abilities grow.

Be quick and be quiet. One false-step and --CLANK! Each careless sound draws the attention of the dragon, and each artifact stolen increases its rage. You can only enjoy your plunder if you make it out of the depths alive!

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False,\n", + " 'msrp_text': '$60.00',\n", + " 'price_text': '$40.99',\n", + " 'tags': ['Clank! In! Space! Apocalypse!',\n", + " 'Clank!: A Deck-Building Adventure',\n", + " 'Clank! *PRE-ORDER*',\n", + " 'Clank!: A Deck-Building Adventure - Ding and Dent',\n", + " 'Clank! In! Space! - Ding & Dent',\n", + " 'Břink!: Velká podzemní loupež',\n", + " 'Brzdęk! Nie drażnij smoka',\n", + " 'Clank!',\n", + " 'Clank! Um Deck Building de Aventura',\n", + " 'Clank!: Una aventura de construcción de mazos',\n", + " 'Klank!: Lopakodj és arass zajos sikert!',\n", + " 'Klong!',\n", + " 'Кланк! Подземное приключение',\n", + " '클랭크!: 덱 빌딩 어드벤처',\n", + " 'Clank',\n", + " 'Clank Les aventures du Deck Building FR',\n", + " 'Clank slight damage to box',\n", + " 'Clank A Deck Building Adventure',\n", + " 'Clank Collection Base Game Sunken Treasure'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1559254970101-61gHdS3ds2L.jpg',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1559254970101-61gHdS3ds2L.jpg',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1559254970101-61gHdS3ds2L.jpg',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1559254970101-61gHdS3ds2L.jpg',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254970101-61gHdS3ds2L.jpg'},\n", + " 'description_preview': \" Burgle your way to adventure in Clank!, the new deck-building board game. Sneak into an angry dragon's mountain lair to steal precious artifacts. Delve deeper to find more valuable loot. Acquire cards for your deck and watch your thievish abilities grow. Be quick and be quiet. One false-step and --CLANK! Each careless sound draws the attention of the dragon, and each artifact stolen increases its rage. You can only enjoy your plunder if you make it out of the depths alive! \"},\n", + " {'id': 'k7pnwdyDfC',\n", + " 'handle': 'puerto-rico',\n", + " 'url': 'https://www.boardgameatlas.com/game/k7pnwdyDfC/puerto-rico',\n", + " 'name': 'Puerto Rico',\n", + " 'price': '29.99',\n", + " 'price_ca': '46.92',\n", + " 'price_uk': '37.82',\n", + " 'price_au': '64.99',\n", + " 'msrp': 44.95,\n", + " 'msrps': [{'country': 'US', 'price': 44.95}],\n", + " 'discount': '0.33',\n", + " 'year_published': 2002,\n", + " 'min_players': 2,\n", + " 'max_players': 5,\n", + " 'min_playtime': 90,\n", + " 'max_playtime': 150,\n", + " 'min_age': 12,\n", + " 'description': \"

Prospector, captain, mayor, trader, settler, craftsman, or builder? Which roles will you play in the new world? Will you own the most prosperous plantations? Will you build the most valuable buildings? You have but one goal: achieve the greatest prosperity and highest respect! This is shown by the player who earns the most victory points. He will win the game!

\\r\\n
\\r\\n
\\r\\n

In Puerto Rico, players assume the roles of colonial governors on the island of Puerto Rico. The aim of the game is to amass victory points by shipping goods to Europe or by constructing buildings.

\\r\\n

Each player uses a separate small board with spaces for city buildings, plantations, and resources. Shared between the players are three ships, a trading house, and a supply of resources and doubloons.

\\r\\n

The resource cycle of the game is that players grow crops which they exchange for points or doubloons. Doubloons can then be used to buy buildings, which allow players to produce more crops or give them other abilities. Buildings and plantations do not work unless they are manned by colonists.

\\r\\n

During each round, players take turns selecting a role card from those on the table (such as "Trader" or "Builder"). When a role is chosen, every player gets to take the action appropriate to that role. The player that selected the role also receives a small privilege for doing so - for example, choosing the "Builder" role allows all players to construct a building, but the player who chose the role may do so at a discount on that turn. Unused roles gain a doubloon bonus at the end of each turn, so the next player who chooses that role gets to keep any doubloon bonus associated with it. This encourages players to make use of all the roles throughout a typical course of a game.

\\r\\n

Puerto Rico uses a variable phase order mechanism in which a "governor" token is passed clockwise to the next player at the conclusion of a turn. The player with the token begins the round by choosing a role and taking the first action.

\\r\\n

Players earn victory points for owning buildings, for shipping goods, and for manned "large buildings." Each player's accumulated shipping chips are kept face down and come in denominations of one or five. This prevents other players from being able to determine the exact score of another player. Goods and doubloons are placed in clear view of other players and the totals of each can always be requested by a player. As the game enters its later stages, the unknown quantity of shipping tokens and its denominations require players to consider their options before choosing a role that can end the game.

\\r\\n

In 2011 and mostly afterwards, Puerto Rico was published to include both Puerto Rico: Expansion I – New Buildings and Puerto Rico: Expansion II – The Nobles. These versions are included in the other game entry Puerto Rico (with two expansions), not this regular game entry for Puerto Rico. Some editions of Puerto Rico list the player count as 2-5 instead of 3-5, and they include variant rules for games with only two players.

\\r\\n
\\r\\n
\\r\\n
\\r\\n
\\r\\n
0 Links
\\r\\n
\\r\\n
\",\n", + " 'commentary': '',\n", + " 'faq': '',\n", + " 'thumb_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559255812091-51jb0LuMmEL.jpg',\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559255812091-51jb0LuMmEL.jpg',\n", + " 'matches_specs': None,\n", + " 'specs': [],\n", + " 'mechanics': [{'id': '9ZlbQA8L5l',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/9ZlbQA8L5l/undefined'},\n", + " {'id': 'zzsE4jtI1b',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/zzsE4jtI1b/undefined'},\n", + " {'id': 'MPiKlI6itI',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/MPiKlI6itI/undefined'}],\n", + " 'categories': [{'id': 'ODWOjWAJj3',\n", + " 'url': 'https://www.boardgameatlas.com/category/ODWOjWAJj3/undefined'},\n", + " {'id': 'N0TkEGfEsF',\n", + " 'url': 'https://www.boardgameatlas.com/category/N0TkEGfEsF/undefined'},\n", + " {'id': 'Wr8uXcoR9p',\n", + " 'url': 'https://www.boardgameatlas.com/category/Wr8uXcoR9p/undefined'}],\n", + " 'publishers': [{'id': 'BrfTva4mEF',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/BrfTva4mEF/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'Ux5GwHZoTi',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/Ux5GwHZoTi/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'jVKDlz7qmo',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/jVKDlz7qmo/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'designers': [{'id': 'pczF8mvCQG',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/designer/pczF8mvCQG/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'primary_publisher': {'id': 'BrfTva4mEF',\n", + " 'name': 'Rio Grande Games',\n", + " 'url': 'https://www.boardgameatlas.com/publisher/BrfTva4mEF/rio-grande-games'},\n", + " 'primary_designer': {'id': 'pczF8mvCQG',\n", + " 'name': 'Andreas Seyfarth',\n", + " 'url': 'https://www.boardgameatlas.com/designer/pczF8mvCQG/andreas-seyfarth'},\n", + " 'developers': [],\n", + " 'related_to': [],\n", + " 'artists': ['Harald Lieske', 'Franz Vohwinkel'],\n", + " 'names': [],\n", + " 'rules_url': 'http://riograndegames.com/getFile.php?id=675',\n", + " 'amazon_rank': 4558,\n", + " 'cs_rating': 4.2,\n", + " 'official_url': 'http://riograndegames.com/games.html?utm_source=boardgameatlas.com&utm_medium=search&utm_campaign=bga_ads',\n", + " 'comment_count': 0,\n", + " 'num_user_ratings': 410,\n", + " 'average_user_rating': 3.7888567073170742,\n", + " 'weight_amount': 4,\n", + " 'weight_units': 'lbs ',\n", + " 'size_height': 12,\n", + " 'size_depth': 2.8,\n", + " 'size_units': 'inches ',\n", + " 'historical_low_prices': [{'country': 'AU',\n", + " 'date': '2021-02-16T01:37:24.158Z',\n", + " 'price': 64.99,\n", + " 'isLow': False},\n", + " {'country': 'CA',\n", + " 'date': '2021-04-07T03:39:53.852Z',\n", + " 'price': 46.92,\n", + " 'isLow': False},\n", + " {'country': 'US',\n", + " 'date': '2021-04-12T07:21:56.436Z',\n", + " 'price': 29.99,\n", + " 'isLow': False},\n", + " {'country': 'UK',\n", + " 'date': '2021-06-21T04:58:16.569Z',\n", + " 'price': 37.82,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 2,\n", + " 'average_learning_complexity': 3,\n", + " 'average_strategy_complexity': 4,\n", + " 'visits': 1407,\n", + " 'lists': 948,\n", + " 'mentions': 40,\n", + " 'links': 11,\n", + " 'plays': 1865,\n", + " 'rank': 34,\n", + " 'type': 'game',\n", + " 'num_distributors': 0,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 0,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$44.95',\n", + " 'price_text': '$29.99',\n", + " 'tags': ['Πουέρτο Ρίκο',\n", + " '波多黎各',\n", + " '푸에르토 리코',\n", + " 'Puerto Rico - 3-5 Player Editon',\n", + " 'Puerto Rico'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1559255812091-51jb0LuMmEL.jpg',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1559255812091-51jb0LuMmEL.jpg',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1559255812091-51jb0LuMmEL.jpg',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1559255812091-51jb0LuMmEL.jpg',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559255812091-51jb0LuMmEL.jpg'},\n", + " 'description_preview': ' Prospector, captain, mayor, trader, settler, craftsman, or builder? Which roles will you play in the new world? Will you own the most prosperous plantations? Will you build the most valuable buildings? You have but one goal: achieve the greatest prosperity and highest respect! This is shown by the player who earns the most victory points. He will win the game! \\r\\n \\r\\n \\r\\n In Puerto Rico, players assume the roles of colonial governors on the island of Puerto Rico. The aim of the game is to amass victory points by shipping goods to Europe or by constructing buildings. \\r\\n Each player uses a separate small board with spaces for city buildings, plantations, and resources. Shared between the players are three ships, a trading house, and a supply of resources and doubloons. \\r\\n The resource cycle of the game is that players grow crops which they exchange for points or doubloons. Doubloons can then be used to buy buildings, which allow players to produce more crops or give them other abilities. Buildings and plantations do not work unless they are manned by colonists. \\r\\n During each round, players take turns selecting a role card from those on the table (such as \"Trader\" or \"Builder\"). When a role is chosen, every player gets to take the action appropriate to that role. The player that selected the role also receives a small privilege for doing so - for example, choosing the \"Builder\" role allows all players to construct a building, but the player who chose the role may do so at a discount on that turn. Unused roles gain a doubloon bonus at the end of each turn, so the next player who chooses that role gets to keep any doubloon bonus associated with it. This encourages players to make use of all the roles throughout a typical course of a game. \\r\\n Puerto Rico uses a variable phase order mechanism in which a \"governor\" token is passed clockwise to the next player at the conclusion of a turn. The player with the token begins the round by choosing a role and taking the first action. \\r\\n Players earn victory points for owning buildings, for shipping goods, and for manned \"large buildings.\" Each player\\'s accumulated shipping chips are kept face down and come in denominations of one or five. This prevents other players from being able to determine the exact score of another player. Goods and doubloons are placed in clear view of other players and the totals of each can always be requested by a player. As the game enters its later stages, the unknown quantity of shipping tokens and its denominations require players to consider their options before choosing a role that can end the game. \\r\\n In 2011 and mostly afterwards, Puerto Rico was published to include both Puerto Rico: Expansion I – New Buildings and Puerto Rico: Expansion II – The Nobles. These versions are included in the other game entry Puerto Rico (with two expansions), not this regular game entry for Puerto Rico. Some editions of Puerto Rico list the player count as 2-5 instead of 3-5, and they include variant rules for games with only two players. \\r\\n \\r\\n \\r\\n \\r\\n \\r\\n 0 Links \\r\\n \\r\\n '},\n", + " {'id': 'FldbgzsTYH',\n", + " 'handle': 'blood-rage',\n", + " 'url': 'https://www.boardgameatlas.com/game/FldbgzsTYH/blood-rage',\n", + " 'name': 'Blood Rage',\n", + " 'price': '59.99',\n", + " 'price_ca': '193.17',\n", + " 'price_uk': '56.95',\n", + " 'price_au': '104.95',\n", + " 'msrp': 79.99,\n", + " 'msrps': [{'country': 'UK', 'price': 79.99},\n", + " {'country': 'US', 'price': 79.99}],\n", + " 'discount': '0.25',\n", + " 'year_published': 2015,\n", + " 'min_players': 2,\n", + " 'max_players': 4,\n", + " 'min_playtime': 60,\n", + " 'max_playtime': 60,\n", + " 'min_age': 14,\n", + " 'description': \"

In Blood Rage, each player controls their own Viking clan's warriors, leader, and ship. Ragnarok has come, and it's the end of the world! It's the Vikings' last chance to go down in a blaze of glory and secure their place in Valhalla at Odin's side! For a Viking there are many pathways to glory. You can invade and pillage the land for its rewards, crush your opponents in epic battles, fulfil quests, increase your clan's stats, or even die gloriously either in battle or from Ragnarok, the ultimate inescapable doom. Most player strategies are guided by the cards drafted at the beginning of each of the three game rounds (or Ages). These "Gods' Gifts" grant you numerous boons for your clan including: increased Viking strength and devious battle strategies, upgrades to your clan, or even the aid of legendary creatures from Norse mythology. They may also include various quests, from dominating specific provinces, to having lots of your Vikings sent to Valhalla. Most of these cards are aligned with one of the Norse gods, hinting at the kind of strategy they support. For example, Thor gives more glory for victory in battle, Heimdall grants you foresight and surprises, Tyr strengthens you in battle, while the trickster Loki actually rewards you for losing battles, or punishes the winner. Players must choose their strategies carefully during the draft phase, but also be ready to adapt and react to their opponents' strategies as the action phase unfolds. Battles are decided not only by the strength of the figures involved, but also by cards played in secret. By observing your opponents' actions and allegiances to specific gods, you may predict what card they are likely to play, and plan accordingly. Winning battles is not always the best course of action, as the right card can get you even more rewards by being crushed. The only losing strategy in Blood Rage is to shy away from battle and a glorious death!

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\\r\\n\\r\\n
\\r\\n

During the medieval goings-on around Orléans, you must assemble a following of farmers, merchants, knights, monks, etc. to gain supremacy through trade, construction and science in medieval France.

\\r\\n

In the city of Orléans and the area of the Loire, you can take trade trips to other cities to acquire coveted goods and build trading posts. You need followers and their abilities to expand your dominance by putting them to work as traders, builders, and scientists. Knights expand your scope of action and secure your mercantile expeditions. Craftsmen build trading stations and tools to facilitate work. Scholars make progress in science, and last but not least it cannot hurt to get active in monasteries since with monks on your side you are much less likely to fall prey to fate.

\\r\\n

In Orléans, you will always want to take more actions than possible, and there are many paths to victory. The challenge is to combine all elements as best as possible with regard to your strategy.

\\r\\n
\\r\\n\\r\\n
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You need followers and their abilities to expand your dominance by putting them to work as traders, builders, and scientists. Knights expand your scope of action and secure your mercantile expeditions. Craftsmen build trading stations and tools to facilitate work. Scholars make progress in science, and last but not least it cannot hurt to get active in monasteries since with monks on your side you are much less likely to fall prey to fate. \\r\\n In Orléans , you will always want to take more actions than possible, and there are many paths to victory. The challenge is to combine all elements as best as possible with regard to your strategy. \\r\\n \\r\\n\\r\\n '},\n", + " {'id': '8UmzC1ZGGE',\n", + " 'handle': 'small-world',\n", + " 'url': 'https://www.boardgameatlas.com/game/8UmzC1ZGGE/small-world',\n", + " 'name': 'Small World',\n", + " 'price': '44.99',\n", + " 'price_ca': '59.89',\n", + " 'price_uk': '30.99',\n", + " 'price_au': '68.95',\n", + " 'msrp': 49.99,\n", + " 'msrps': [{'country': 'UK', 'price': 46.99},\n", + " {'country': 'US', 'price': 49.99}],\n", + " 'discount': '0.10',\n", + " 'year_published': 2009,\n", + " 'min_players': 2,\n", + " 'max_players': 5,\n", + " 'min_playtime': 40,\n", + " 'max_playtime': 80,\n", + " 'min_age': 8,\n", + " 'description': \"

Small World is designed by Philippe Keyaerts and is a fantasy-themed game similar in game play to his Vinci, which was released in 1999 by French publisher Descartes.

\\r\\n

In Small World, players will be able to control characters from 14 fantasy races - dwarves, giants, orcs, elves, and so forth - while trying to take control of territory and push opponents out of adjacent lands and off the map. Even while dominating opponents, however, you have to keep in mind that your race's civilization is doomed as well, thanks to the passing of time and attacking of neighbors, so be ready to cast aside one tribe while taking the reins of another in order to keep dominating the world.

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dwarves, giants, orcs, elves, and so forth - while trying to take control of territory and push opponents out of adjacent lands and off the map. 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The 14 fantasy races come with matching banners and tokens, and the game also includes 20 special power badges to further customize the races along with mountains, troll lairs, fortresses, holes-in-the-ground, victory coins. and other items. \"},\n", + " {'id': '8YoVXov23k',\n", + " 'handle': 'clans-of-caledonia',\n", + " 'url': 'https://www.boardgameatlas.com/game/8YoVXov23k/clans-of-caledonia',\n", + " 'name': 'Clans of Caledonia',\n", + " 'price': '0.00',\n", + " 'price_ca': '142.15',\n", + " 'price_uk': '57.28',\n", + " 'price_au': '74.99',\n", + " 'msrp': 69.99,\n", + " 'msrps': [{'country': 'UK', 'price': 63.99},\n", + " {'country': 'US', 'price': 69.99}],\n", + " 'discount': '0.00',\n", + " 'year_published': 2017,\n", + " 'min_players': 1,\n", + " 'max_players': 4,\n", + " 'min_playtime': 30,\n", + " 'max_playtime': 120,\n", + " 'min_age': 12,\n", + " 'description': '

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'trending_rank': 0,\n", + " 'listing_clicks': 0,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$69.99',\n", + " 'price_text': 'Price: N/A',\n", + " 'tags': ['Clans of Caledonia (Deal of the Day)',\n", + " 'Clan di Caledonia',\n", + " 'Clanes de Caledonia',\n", + " 'Clãs da Caledônia',\n", + " 'Klany Kaledonii',\n", + " 'Кланы Каледонии',\n", + " 'クランズ・オブ・カレドニア',\n", + " '클랜 오브 칼레도니아',\n", + " 'Clans of Caledonia',\n", + " 'Clans of Caledonia Premium Version'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1604080716475',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1604080716475',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1604080716475',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1604080716475',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1604080716475'},\n", + " 'description_preview': ' Clans of Caledonia is a mid-to-heavy economic game set in 19th-century Scotland. At this time, Scotland made the transition from an agricultural to an industrialized country that heavily relied on trade and export. In the following years, food production increased significantly to feed the population growth. Linen was increasingly substituted by the cheaper cotton and raising sheep was given high importance. More and more distilleries were founded and whisky became the premium alcoholic beverage in Europe. Players represent historic clans with unique abilities and compete to produce, trade and export agricultural goods and of course whisky! The game comes with nine different clans, a modular board with 16 configurations, nine port bonuses and nine round scoring tiles. '},\n", + " {'id': '4rn2FX1Eon',\n", + " 'handle': 'forbidden-island',\n", + " 'url': 'https://www.boardgameatlas.com/game/4rn2FX1Eon/forbidden-island',\n", + " 'name': 'Forbidden Island',\n", + " 'price': '15.99',\n", + " 'price_ca': '19.98',\n", + " 'price_uk': '13.46',\n", + " 'price_au': '32.99',\n", + " 'msrp': 20,\n", + " 'msrps': [{'country': 'US', 'price': 20}],\n", + " 'discount': '0.20',\n", + " 'year_published': 2010,\n", + " 'min_players': 2,\n", + " 'max_players': 4,\n", + " 'min_playtime': 30,\n", + " 'max_playtime': 45,\n", + " 'min_age': 10,\n", + " 'description': '

Dare to discover Forbidden Island! Join a team of fearless adventurers on a do-or-die mission to capture four sacred treasures from the ruins of this perilous paradise. Your team will have to work together and make some pulse-pounding maneuvers, as the island will sink beneath every step! Race to collect the treasures and make a triumphant escape before you are swallowed into the watery abyss!

\\r\\n

Nominated for the 2011 Spiel des Jahres (Game of the Year) Award.

',\n", + " 'commentary': '',\n", + " 'faq': '',\n", + " 'thumb_url': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/forbidden-island-board-game.jpg?v=1609629553',\n", + " 'image_url': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/forbidden-island-board-game.jpg?v=1609629553',\n", + " 'matches_specs': None,\n", + " 'specs': [],\n", + " 'mechanics': [{'id': '9mNukNBxfZ',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/9mNukNBxfZ/undefined'},\n", + " {'id': 'qu5BcGjAzk',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/qu5BcGjAzk/undefined'},\n", + " {'id': 'WPytek5P8l',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'},\n", + " {'id': 'U3zhCQH7Et',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/U3zhCQH7Et/undefined'},\n", + " {'id': 'BbTMRkwL0b',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/BbTMRkwL0b/undefined'},\n", + " {'id': 'lA3KUtVFCy',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'},\n", + " {'id': 'uZR0NCIA6D',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/uZR0NCIA6D/undefined'},\n", + " {'id': 'XM2FYZmBHH',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/XM2FYZmBHH/undefined'}],\n", + " 'categories': [{'id': 'KUBCKBkGxV',\n", + " 'url': 'https://www.boardgameatlas.com/category/KUBCKBkGxV/undefined'},\n", + " {'id': 'ZTneo8TaIO',\n", + " 'url': 'https://www.boardgameatlas.com/category/ZTneo8TaIO/undefined'}],\n", + " 'publishers': [{'id': 'ToCf9WCBmP',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/ToCf9WCBmP/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'designers': [{'id': 'DKHpfErJB9',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/designer/DKHpfErJB9/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'primary_publisher': {'id': 'ToCf9WCBmP',\n", + " 'name': 'Gamewright',\n", + " 'url': 'https://www.boardgameatlas.com/publisher/ToCf9WCBmP/gamewright'},\n", + " 'primary_designer': {'id': 'DKHpfErJB9',\n", + " 'name': 'Matt Leacock',\n", + " 'url': 'https://www.boardgameatlas.com/designer/DKHpfErJB9/matt-leacock'},\n", + " 'developers': [],\n", + " 'related_to': [],\n", + " 'artists': ['C. B. Canga'],\n", + " 'names': [],\n", + " 'rules_url': 'https://www.fgbradleys.com/rules/rules2/ForbiddenIsland-rules.pdf',\n", + " 'amazon_rank': 486,\n", + " 'cs_rating': 4.1,\n", + " 'official_url': 'https://gamewright.com/product/Forbidden-Island?utm_source=boardgameatlas.com&utm_medium=search&utm_campaign=bga_ads',\n", + " 'comment_count': 0,\n", + " 'num_user_ratings': 509,\n", + " 'average_user_rating': 3.3077603143418433,\n", + " 'weight_amount': 1.36,\n", + " 'weight_units': 'lbs ',\n", + " 'size_height': 6.5,\n", + " 'size_depth': 2.8,\n", + " 'size_units': 'inches ',\n", + " 'historical_low_prices': [{'country': 'AU',\n", + " 'date': '2021-02-16T01:12:00.923Z',\n", + " 'price': 32.99,\n", + " 'isLow': False},\n", + " {'country': 'CA',\n", + " 'date': '2021-06-18T01:00:11.606Z',\n", + " 'price': 19.98,\n", + " 'isLow': False},\n", + " {'country': 'US',\n", + " 'date': '2021-06-19T08:06:53.843Z',\n", + " 'price': 15.99,\n", + " 'isLow': False},\n", + " {'country': 'UK',\n", + " 'date': '2021-06-26T05:50:30.326Z',\n", + " 'price': 13.46,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 5,\n", + " 'average_learning_complexity': 1.8,\n", + " 'average_strategy_complexity': 2,\n", + " 'visits': 1909,\n", + " 'lists': 1145,\n", + " 'mentions': 64,\n", + " 'links': 10,\n", + " 'plays': 1927,\n", + " 'rank': 40,\n", + " 'type': 'game',\n", + " 'num_distributors': 0,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 0,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$20.00',\n", + " 'price_text': '$15.99',\n", + " 'tags': ['Forbidden Island 禁忌之岛',\n", + " 'Den Forbudte Øya',\n", + " 'A Ilha Proibida',\n", + " 'Insula Interzisa',\n", + " 'La Isla Prohibida',\n", + " \"L'Île Interdite\",\n", + " \"L'illa prohibida\",\n", + " \"L'Isola Proibita\",\n", + " 'Salaisuuksien saari',\n", + " 'A Tiltott Sziget',\n", + " 'Het Verboden Eiland',\n", + " 'Die verbotene Insel',\n", + " 'Zakazana Wyspa',\n", + " 'Zakázaný ostrov',\n", + " 'Η Απαγορευμένη Νήσος',\n", + " 'Запретный остров',\n", + " 'האי הנעלם',\n", + " '禁制之島',\n", + " '禁断の島',\n", + " '포비든 아일랜드',\n", + " 'Forbidden Island',\n", + " 'Forbidden Island Adventure If You Dare'],\n", + " 'images': {'thumb': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/forbidden-island-board-game.jpg?v=1609629553',\n", + " 'small': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/forbidden-island-board-game.jpg?v=1609629553',\n", + " 'medium': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/forbidden-island-board-game.jpg?v=1609629553',\n", + " 'large': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/forbidden-island-board-game.jpg?v=1609629553',\n", + " 'original': 'https://cdn.shopify.com/s/files/1/0513/4077/1515/products/forbidden-island-board-game.jpg?v=1609629553'},\n", + " 'description_preview': ' Dare to discover Forbidden Island ! Join a team of fearless adventurers on a do-or-die mission to capture four sacred treasures from the ruins of this perilous paradise. Your team will have to work together and make some pulse-pounding maneuvers, as the island will sink beneath every step! Race to collect the treasures and make a triumphant escape before you are swallowed into the watery abyss! \\r\\n Nominated for the 2011 Spiel des Jahres (Game of the Year) Award. '},\n", + " {'id': 'aD2aeY8DEP',\n", + " 'handle': 'tzolkin-the-mayan-calendar',\n", + " 'url': 'https://www.boardgameatlas.com/game/aD2aeY8DEP/tzolkin-the-mayan-calendar',\n", + " 'name': \"Tzolk'in: The Mayan Calendar\",\n", + " 'price': '41.97',\n", + " 'price_ca': '49.95',\n", + " 'price_uk': '30.99',\n", + " 'price_au': '69.99',\n", + " 'msrp': 60,\n", + " 'msrps': [{'country': 'US', 'price': 60},\n", + " {'country': 'CA', 'price': 0},\n", + " {'country': 'UK', 'price': 0},\n", + " {'country': 'AU', 'price': 0}],\n", + " 'discount': '0.30',\n", + " 'year_published': 2012,\n", + " 'min_players': 2,\n", + " 'max_players': 4,\n", + " 'min_playtime': 60,\n", + " 'max_playtime': 90,\n", + " 'min_age': 14,\n", + " 'description': \"

The Maya were a highly developed civilization known for its unique art, complex architecture, sophisticated mathematics and advanced knowledge of the stars. At the heart of their society was a mysterious calendar - Tzolk'in. With a length of 260 days, it could predict the right time to plant seeds, the time to build monuments, the day a new baby would be born as well as the movement of the planets. It was the centerpiece of the Mayan cycle of life.

We invite you to become one of the ajaw, the leaders of Mayan tribes. Please the gods and lead your clan to prosperity!

As in the life of ancient Maya, the center of our game is the Tzolk'in calendar - a set of gears that rotate each round of the game. This unique system helps you to visualize the cyclic flow of time and plan your actions in advance. Harvest crops now, or wait for them to grow a little more for higher yield? All will be clear to see on the wheels of time.

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'https://www.tabletopgameindustry.com/publisher/8eHESCflqX/czech-games-edition'},\n", + " 'primary_designer': {'id': '1HFd9t6DSV',\n", + " 'name': 'Simone Luciani',\n", + " 'url': 'https://www.boardgameatlas.com/designer/1HFd9t6DSV/simone-luciani'},\n", + " 'developers': [],\n", + " 'related_to': [],\n", + " 'artists': ['Milan Vavroň'],\n", + " 'names': [],\n", + " 'rules_url': None,\n", + " 'amazon_rank': 94940,\n", + " 'cs_rating': 4.6,\n", + " 'official_url': 'http://czechgames.com/en/tzolkin-the-mayan-calendar/?utm_source=boardgameatlas.com&utm_medium=search&utm_campaign=bga_ads',\n", + " 'sell_sheet_url': None,\n", + " 'store_images_url': None,\n", + " 'comment_count': 0,\n", + " 'num_user_ratings': 308,\n", + " 'average_user_rating': 3.881556377148863,\n", + " 'historical_low_prices': [{'country': 'AU',\n", + " 'date': '2021-03-10T18:35:02.521Z',\n", + " 'price': 69.99,\n", + " 'isLow': False},\n", + " {'country': 'US',\n", + " 'date': '2021-06-11T00:06:45.255Z',\n", + " 'price': 41.97,\n", + " 'isLow': False},\n", + " {'country': 'CA',\n", + " 'date': '2021-06-17T08:27:03.021Z',\n", + " 'price': 49.95,\n", + " 'isLow': False},\n", + " {'country': 'UK',\n", + " 'date': '2021-06-27T05:32:53.489Z',\n", + " 'price': 30.99,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 2,\n", + " 'average_learning_complexity': 3,\n", + " 'average_strategy_complexity': 3.5,\n", + " 'visits': 3101,\n", + " 'lists': 983,\n", + " 'mentions': 89,\n", + " 'links': 9,\n", + " 'plays': 1384,\n", + " 'rank': 41,\n", + " 'type': 'game',\n", + " 'sku': 'CGE00019',\n", + " 'upc': '8594156310196',\n", + " 'num_distributors': 1,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 12,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$60.00',\n", + " 'price_text': '$41.97',\n", + " 'tags': [\"Tzolk'in 촐킨: 마야의 달력\",\n", + " \"Tzolk'in: Calendarul Maiaș\",\n", + " \"Tzolk'in: De Kalender van de Maya's\",\n", + " \"Tzolk'in: Der Maya-Kalender\",\n", + " \"Tzolk'in: El Calendario Maya\",\n", + " \"Tzolk'in: Il Calendario Maya\",\n", + " \"Tzolk'in: Kalendarz Majów\",\n", + " \"Tzolk'in: le calendrier maya\",\n", + " \"Tzolk'in: Mayský kalendář\",\n", + " 'Tzolkin: The Mayan Calendar',\n", + " 'Цолькин: Календарь Майа',\n", + " 'ツォルキン：マヤ神聖歴',\n", + " '卓爾金曆:馬雅曆法',\n", + " '卓爾金歷：瑪雅日曆',\n", + " '촐킨: 마야의 달력',\n", + " \"Tzolk'in The Mayan Calendar\",\n", + " \"ツォルキン：マヤ神聖歴 (Tzolk'in: The Mayan Calendar) [並行輸入品] ボードゲーム\"],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1559254183526-61f2BdYqPR4L.jpg',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1559254183526-61f2BdYqPR4L.jpg',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1559254183526-61f2BdYqPR4L.jpg',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1559254183526-61f2BdYqPR4L.jpg',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254183526-61f2BdYqPR4L.jpg'},\n", + " 'description_preview': \" The Maya were a highly developed civilization known for its unique art, complex architecture, sophisticated mathematics and advanced knowledge of the stars. At the heart of their society was a mysterious calendar - Tzolk'in. With a length of 260 days, it could predict the right time to plant seeds, the time to build monuments, the day a new baby would be born as well as the movement of the planets. It was the centerpiece of the Mayan cycle of life. We invite you to become one of the ajaw, the leaders of Mayan tribes. Please the gods and lead your clan to prosperity! As in the life of ancient Maya, the center of our game is the Tzolk'in calendar - a set of gears that rotate each round of the game. This unique system helps you to visualize the cyclic flow of time and plan your actions in advance. Harvest crops now, or wait for them to grow a little more for higher yield? All will be clear to see on the wheels of time. \"},\n", + " {'id': 'I77I9HybTm',\n", + " 'handle': 'welcome-to',\n", + " 'url': 'https://www.boardgameatlas.com/game/I77I9HybTm/welcome-to',\n", + " 'name': 'Welcome to...',\n", + " 'price': '19.49',\n", + " 'price_ca': '19.95',\n", + " 'price_uk': '23.99',\n", + " 'price_au': '41.95',\n", + " 'msrp': 29.95,\n", + " 'msrps': [{'country': 'US', 'price': 29.95},\n", + " {'country': 'CA', 'price': 29.99}],\n", + " 'discount': '0.35',\n", + " 'year_published': 2018,\n", + " 'min_players': 1,\n", + " 'max_players': 100,\n", + " 'min_playtime': 25,\n", + " 'max_playtime': 30,\n", + " 'min_age': 10,\n", + " 'description': \"

A roll and write without dice! Players will become architects in the American 50's as they use combinations of cards and actions to construct American dream real estate.

As an architect in Welcome to, you want to build the best new town in the United States during the 1950s. Players are developing estates, parks, pools, hiring employees, and more. Welcome to plays like a roll-and-write dice game in which you mark results on a scoresheet... but without dice.

\",\n", + " 'commentary': '',\n", + " 'faq': '',\n", + " 'thumb_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1538760962647',\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1538760962647',\n", + " 'matches_specs': None,\n", + " 'specs': [],\n", + " 'mechanics': [{'id': '71HG4TJaoD',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/71HG4TJaoD/undefined'},\n", + " {'id': 'UHdPUeuqyZ',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/UHdPUeuqyZ/undefined'},\n", + " {'id': '9YdRn9J9oZ',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/9YdRn9J9oZ/undefined'},\n", + " {'id': 'zIPRS41oiN',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/zIPRS41oiN/undefined'},\n", + " {'id': 'uZR0NCIA6D',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/uZR0NCIA6D/undefined'}],\n", + " 'categories': [{'id': 'ODWOjWAJj3',\n", + " 'url': 'https://www.boardgameatlas.com/category/ODWOjWAJj3/undefined'}],\n", + " 'publishers': [{'id': 'AH5bbHG1jp',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/AH5bbHG1jp/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'designers': [{'id': 'ziX48OEaiA',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/designer/ziX48OEaiA/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'primary_publisher': {'id': 'AH5bbHG1jp',\n", + " 'name': 'Blue Cocker Games',\n", + " 'url': 'https://www.boardgameatlas.com/publisher/AH5bbHG1jp/blue-cocker-games'},\n", + " 'primary_designer': {'id': 'ziX48OEaiA',\n", + " 'name': 'Benoit Turpin',\n", + " 'url': 'https://www.boardgameatlas.com/designer/ziX48OEaiA/benoit-turpin'},\n", + " 'developers': [],\n", + " 'related_to': [],\n", + " 'artists': ['Anne Heidsieck'],\n", + " 'names': [],\n", + " 'rules_url': 'http://www.bluecocker.com/wp-content/uploads/jeux/Welcome/Regles_fr&en.pdf',\n", + " 'amazon_rank': 111282,\n", + " 'official_url': 'http://www.bluecocker.com/index.php/en/jeux/welcome/?utm_source=boardgameatlas.com&utm_medium=search&utm_campaign=bga_ads',\n", + " 'comment_count': 1,\n", + " 'num_user_ratings': 269,\n", + " 'average_user_rating': 3.824322065646523,\n", + " 'weight_amount': 1.68,\n", + " 'weight_units': 'lbs ',\n", + " 'size_height': 8,\n", + " 'size_depth': 2,\n", + " 'size_units': 'inches ',\n", + " 'historical_low_prices': [{'country': 'AU',\n", + " 'date': '2021-04-17T00:50:02.261Z',\n", + " 'price': 41.95,\n", + " 'isLow': True},\n", + " {'country': 'US',\n", + " 'date': '2021-06-18T20:53:03.972Z',\n", + " 'price': 19.49,\n", + " 'isLow': False},\n", + " {'country': 'UK',\n", + " 'date': '2021-06-21T06:20:05.832Z',\n", + " 'price': 23.99,\n", + " 'isLow': False},\n", + " {'country': 'CA',\n", + " 'date': '2021-07-03T00:32:35.869Z',\n", + " 'price': 19.95,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 6,\n", + " 'average_learning_complexity': 2,\n", + " 'average_strategy_complexity': 2.666666666666667,\n", + " 'visits': 6143,\n", + " 'lists': 996,\n", + " 'mentions': 121,\n", + " 'links': 27,\n", + " 'plays': 3141,\n", + " 'rank': 42,\n", + " 'type': 'game',\n", + " 'sku': 'DWABCGWT',\n", + " 'upc': '682604701462',\n", + " 'num_distributors': 1,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 24,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$29.95',\n", + " 'price_text': '$19.49',\n", + " 'tags': ['Welcome to Your Perfect Home',\n", + " 'Welcome To...',\n", + " 'Welcome To…',\n", + " 'Welcome To Edition',\n", + " 'Köszöntünk... álmaid városában!',\n", + " 'Vítejte ve svém vysněném domově',\n", + " 'Welcome to... Miasteczko marzeń',\n", + " 'Бумажные кварталы',\n", + " '歡迎來到',\n", + " 'Welcome to Last Chance',\n", + " 'Welcome To',\n", + " 'Welcome to Your Perfect Home Printing',\n", + " 'Welcome To Your Perfect Home',\n", + " 'Welcome to board game'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1538760962647',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1538760962647',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1538760962647',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1538760962647',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1538760962647'},\n", + " 'description_preview': \" A roll and write without dice! Players will become architects in the American 50's as they use combinations of cards and actions to construct American dream real estate. As an architect in Welcome to, you want to build the best new town in the United States during the 1950s. Players are developing estates, parks, pools, hiring employees, and more. Welcome to plays like a roll-and-write dice game in which you mark results on a scoresheet... but without dice. \"},\n", + " {'id': 'mJr3oebP6p',\n", + " 'handle': 'sagrada',\n", + " 'url': 'https://www.boardgameatlas.com/game/mJr3oebP6p/sagrada',\n", + " 'name': 'Sagrada',\n", + " 'price': '26.99',\n", + " 'price_ca': '34.71',\n", + " 'price_uk': '26.79',\n", + " 'price_au': '63.99',\n", + " 'msrp': 39.99,\n", + " 'msrps': [{'country': 'UK', 'price': 36.99},\n", + " {'country': 'US', 'price': 39.99}],\n", + " 'discount': '0.33',\n", + " 'year_published': 2017,\n", + " 'min_players': 1,\n", + " 'max_players': 4,\n", + " 'min_playtime': 20,\n", + " 'max_playtime': 40,\n", + " 'min_age': 14,\n", + " 'description': '

As a skilled artisan, use tools-of-the-trade and careful planning to construct a stained glass window masterpiece in the Sagrada Familia. Gain prestige by adapting to the preferences of your fickle admirers, and, of course, by adding your own artistic flair while completing your glass masterpiece in Sagrada, a game of dice-drafting and window-crafting.

',\n", + " 'commentary': '',\n", + " 'faq': '',\n", + " 'thumb_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254943589-61wqSdWtkHL.jpg',\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254943589-61wqSdWtkHL.jpg',\n", + " 'matches_specs': None,\n", + " 'specs': [],\n", + " 'mechanics': [{'id': 'jOAB6RhwBp',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/jOAB6RhwBp/undefined'},\n", + " {'id': 'R0bGq4cAl4',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'},\n", + " {'id': 'wV5peB05xs',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/wV5peB05xs/undefined'},\n", + " {'id': 'dITGE93SCS',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/dITGE93SCS/undefined'},\n", + " {'id': '9YdRn9J9oZ',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/9YdRn9J9oZ/undefined'},\n", + " {'id': 'lA3KUtVFCy',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'},\n", + " {'id': 'uZR0NCIA6D',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/uZR0NCIA6D/undefined'}],\n", + " 'categories': [{'id': 'mavSOM8vjH',\n", + " 'url': 'https://www.boardgameatlas.com/category/mavSOM8vjH/undefined'},\n", + " {'id': '7rV11PKqME',\n", + " 'url': 'https://www.boardgameatlas.com/category/7rV11PKqME/undefined'},\n", + " {'id': 'WVMOS3s2pb',\n", + " 'url': 'https://www.boardgameatlas.com/category/WVMOS3s2pb/undefined'}],\n", + " 'publishers': [{'id': 'HfhqRoxYRy',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/HfhqRoxYRy/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'designers': [{'id': 'NhPC6sIf6R',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/designer/NhPC6sIf6R/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': '71adRGYSI7',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/designer/71adRGYSI7/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'primary_publisher': {'id': 'HfhqRoxYRy',\n", + " 'name': 'Floodgate Games',\n", + " 'url': 'https://www.boardgameatlas.com/publisher/HfhqRoxYRy/floodgate-games'},\n", + " 'primary_designer': {'id': 'NhPC6sIf6R',\n", + " 'name': 'Adrian Adamescu',\n", + " 'url': 'https://www.boardgameatlas.com/designer/NhPC6sIf6R/adrian-adamescu'},\n", + " 'developers': [],\n", + " 'related_to': [],\n", + " 'artists': ['Adrian Adamescu', 'Daryl Andrews', 'Peter Wocken'],\n", + " 'names': [],\n", + " 'rules_url': 'https://floodgategames.com/Sagrada/Sagrada-Rules-Floodgate-Games-SA01.pdf',\n", + " 'amazon_rank': 4172,\n", + " 'cs_rating': 4.4,\n", + " 'official_url': 'https://floodgategames.com/Sagrada/?utm_source=boardgameatlas.com&utm_medium=search&utm_campaign=bga_ads',\n", + " 'comment_count': 0,\n", + " 'num_user_ratings': 365,\n", + " 'average_user_rating': 3.674505430296508,\n", + " 'weight_amount': 2,\n", + " 'weight_units': 'lbs ',\n", + " 'size_height': 8.9,\n", + " 'size_depth': 11.6,\n", + " 'size_units': 'inches ',\n", + " 'historical_low_prices': [{'country': 'AU',\n", + " 'date': '2021-02-16T00:34:20.409Z',\n", + " 'price': 63.99,\n", + " 'isLow': False},\n", + " {'country': 'CA',\n", + " 'date': '2021-03-09T18:32:44.967Z',\n", + " 'price': 34.71,\n", + " 'isLow': False},\n", + " {'country': 'UK',\n", + " 'date': '2021-05-21T03:37:05.082Z',\n", + " 'price': 26.79,\n", + " 'isLow': False},\n", + " {'country': 'US',\n", + " 'date': '2021-06-10T22:16:00.685Z',\n", + " 'price': 26.99,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 4,\n", + " 'average_learning_complexity': 2,\n", + " 'average_strategy_complexity': 2.75,\n", + " 'visits': 2956,\n", + " 'lists': 1113,\n", + " 'mentions': 55,\n", + " 'links': 9,\n", + " 'plays': 3248,\n", + " 'rank': 43,\n", + " 'type': 'game',\n", + " 'sku': 'FGGSA01',\n", + " 'upc': '728028379730',\n", + " 'num_distributors': 1,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 0,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$39.99',\n", + " 'price_text': '$26.99',\n", + " 'tags': ['Sagrada', 'Sagrada box bruise', 'Sagrada board game'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1559254943589-61wqSdWtkHL.jpg',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1559254943589-61wqSdWtkHL.jpg',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1559254943589-61wqSdWtkHL.jpg',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1559254943589-61wqSdWtkHL.jpg',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254943589-61wqSdWtkHL.jpg'},\n", + " 'description_preview': ' As a skilled artisan, use tools-of-the-trade and careful planning to construct a stained glass window masterpiece in the Sagrada Familia. Gain prestige by adapting to the preferences of your fickle admirers, and, of course, by adding your own artistic flair while completing your glass masterpiece in Sagrada, a game of dice-drafting and window-crafting. '},\n", + " {'id': 'Meszt3IFfX',\n", + " 'handle': 'power-grid',\n", + " 'url': 'https://www.boardgameatlas.com/game/Meszt3IFfX/power-grid',\n", + " 'name': 'Power Grid',\n", + " 'price': '32.99',\n", + " 'price_ca': '42.61',\n", + " 'price_uk': '36.79',\n", + " 'price_au': '69.95',\n", + " 'msrp': 49.95,\n", + " 'msrps': [{'country': 'US', 'price': 49.95}],\n", + " 'discount': '0.34',\n", + " 'year_published': 2004,\n", + " 'min_players': 2,\n", + " 'max_players': 6,\n", + " 'min_playtime': 120,\n", + " 'max_playtime': 150,\n", + " 'min_age': 12,\n", + " 'description': \"

Power Grid is the updated release of the Friedemann Friese crayon game Funkenschlag. The latest cooperative publishing effort from Friedemann Friese and Rio Grande Games, removes the crayon aspect from network building in the original editionwhile retaining the fluctuating commodities market like McMulti and an auction round intensity reminiscent of The Princes of Florence.

The object of Power Grid is to supply the most cities with power when someone's network gains a predetermined size. In this new edition, players mark preexisting routes between cities for connection, and then vie against other players to purchase the power plants that you use to supply the power. However, as plants are purchased, newer more efficient plants become available so you?re potentially allowing others to access to superior equipment merely by purchasing at all.

Additionally, players must acquire the raw materials, like coal, oil, garbage, or uranium, to power said plants (except for the highly valuable renewable energy wind/solar plants), making it a constant struggle to upgrade your plants for maximum efficiency while still retaining enough wealth to quickly expand your network to get the cheapest routes.

\\r\\n

Power Grid: Recharged Edition will replace Power Grid. Small but meaningful improvements have been made to the game including updated rules to improve game play, an updated player order tracker, new reference cards, and a discount token to enhance power plant auctions. Power Grid: Recharged Edition will be compatible with all previous Power Grid expansions.

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+ " 'plays': 819,\n", + " 'rank': 44,\n", + " 'type': 'game',\n", + " 'sku': 'RIO559',\n", + " 'upc': '655132005593',\n", + " 'num_distributors': 1,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 19,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$49.95',\n", + " 'price_text': '$32.99',\n", + " 'tags': ['Alta Tensao',\n", + " 'Alta Tensión (Reenergizado)',\n", + " 'Funkenschlag',\n", + " 'Funkenschlag (Recharged Version)',\n", + " 'Haute Tension',\n", + " 'Hoogspanning',\n", + " 'Hoogspanning (Recharged Versie)',\n", + " 'Megawatts',\n", + " 'Nagyfeszültség',\n", + " 'Power Grid (Recharged Version)',\n", + " 'Энергосеть',\n", + " 'Alta Tensione',\n", + " '電力会社 充電完了！',\n", + " 'Wysokie Napięcie (Doladowana Wersja)',\n", + " 'Wysokie Napięcie',\n", + " 'Power Grid (Versao Energizada)',\n", + " 'เกมโรงไฟฟ้า',\n", + " '電力会社',\n", + " '電力公司',\n", + " 'Reţeaua Energetică',\n", + " '파워그리드',\n", + " 'Alta Tensión',\n", + " 'Vysoké Napětí',\n", + " 'Power Grid',\n", + " 'Power Grid Recharged Version',\n", + " 'Power Grid Recharged',\n", + " 'Rio Grande Games Power Grid',\n", + " 'Power Grid board game'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1622740360001',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1622740360001',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1622740360001',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1622740360001',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1622740360001'},\n", + " 'description_preview': \" Power Grid is the updated release of the Friedemann Friese crayon game Funkenschlag. The latest cooperative publishing effort from Friedemann Friese and Rio Grande Games, removes the crayon aspect from network building in the original editionwhile retaining the fluctuating commodities market like McMulti and an auction round intensity reminiscent of The Princes of Florence. The object of Power Grid is to supply the most cities with power when someone's network gains a predetermined size. In this new edition, players mark preexisting routes between cities for connection, and then vie against other players to purchase the power plants that you use to supply the power. However, as plants are purchased, newer more efficient plants become available so you?re potentially allowing others to access to superior equipment merely by purchasing at all. Additionally, players must acquire the raw materials, like coal, oil, garbage, or uranium, to power said plants (except for the highly valuable renewable energy wind/solar plants), making it a constant struggle to upgrade your plants for maximum efficiency while still retaining enough wealth to quickly expand your network to get the cheapest routes. \\r\\n Power Grid: Recharged Edition will replace Power Grid. Small but meaningful improvements have been made to the game including updated rules to improve game play, an updated player order tracker, new reference cards, and a discount token to enhance power plant auctions. Power Grid: Recharged Edition will be compatible with all previous Power Grid expansions. \"},\n", + " {'id': 'Qq2rPNOpoO',\n", + " 'handle': 'star-wars-rebellion',\n", + " 'url': 'https://www.boardgameatlas.com/game/Qq2rPNOpoO/star-wars-rebellion',\n", + " 'name': 'Star Wars: Rebellion',\n", + " 'price': '77.99',\n", + " 'price_ca': '118.95',\n", + " 'price_uk': '68.95',\n", + " 'price_au': '33.99',\n", + " 'msrp': 99.99,\n", + " 'msrps': [{'country': 'UK', 'price': 99.99},\n", + " {'country': 'US', 'price': 99.99}],\n", + " 'discount': '0.22',\n", + " 'year_published': 2016,\n", + " 'min_players': 2,\n", + " 'max_players': 4,\n", + " 'min_playtime': 180,\n", + " 'max_playtime': 240,\n", + " 'min_age': 14,\n", + " 'description': \"

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Experience the Galactic Civil War like never before. In Rebellion, you control the entire Galactic Empire or the fledgling Rebel Alliance. You must command starships, account for troop movements, and rally systems to your cause. Featuring more than 150 plastic miniatures and two game boards that account for thirty-two of the Star Wars galaxy\\'s most notable systems, Rebellion features a scope that is as large and sweeping as any Star Wars game before it. Yet for all its grandiosity, Rebellion remains intensely personal, cinematic, and heroic. As much as your success depends upon the strength of your starships, vehicles, and troops, it depends upon the individual efforts of such notable characters as Leia Organa, Mon Mothma, Grand Moff Tarkin, and Emperor Palpatine. As civil war spreads throughout the galaxy, these leaders are invaluable to your efforts, and the secret missions they attempt will evoke many of the most inspiring moments from the classic trilogy. 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'},\n", + " {'id': '4G32qGJZWs',\n", + " 'handle': 'arkham-horror-the-card-game',\n", + " 'url': 'https://www.boardgameatlas.com/game/4G32qGJZWs/arkham-horror-the-card-game',\n", + " 'name': 'Arkham Horror: The Card Game',\n", + " 'price': '27.10',\n", + " 'price_ca': '45.57',\n", + " 'price_uk': '31.99',\n", + " 'price_au': '0.00',\n", + " 'msrp': 44.95,\n", + " 'msrps': [{'country': 'CA', 'price': 0},\n", + " {'country': 'UK', 'price': 0},\n", + " {'country': 'US', 'price': 44.95}],\n", + " 'discount': '0.40',\n", + " 'year_published': 2016,\n", + " 'min_players': 1,\n", + " 'max_players': 2,\n", + " 'min_playtime': 60,\n", + " 'max_playtime': 120,\n", + " 'min_age': 14,\n", + " 'description': \"

Something evil stirs in Arkham, and only you can stop it.

\\r\\n

Blurring the traditional lines between roleplaying and card game experiences, Arkham Horror: The Card Game is the living card game of love craft I an mystery, monsters, and madness!

\\r\\n

You and your friend (or up to three friends with two core sets) become characters within the quiet new England town of Arkham. You have your talents, sure, but you also have your flaws. Perhaps you've dabbled a little too much in the writings of the Necronomicon, and its words continue to haunt you. Perhaps you feel compelled to cover up any signs of otherworldly evils, hampering your own investigations in order to protect the quiet confidence of the greater population. Perhaps you'll be scarred by your encounters with a ghoulish cult. No matter what compels you, no matter what haunts you, you'll find both your strengths and weaknesses reflected in your custom deck of cards, and these cards will be your resources as you work with your friends to unravel the world's most terrifying mysteries.

\\r\\n

Meanwhile, each of your adventures in Arkham Horror: The Card Game carries you deeper into mystery. You'll find cultists and foul rituals. You'll find haunted houses and strange creatures. And you may find signs of the ancient ones straining against the barriers to our world… the basic mode of play in Arkham Horror: The Card Game is not the adventure, but the campaign. You might be scarred by your adventures, your sanity may be strained, and you may alter Arkham's landscape, burning buildings to the ground.

\\r\\n

All your choices and actions have consequences that reach far beyond the immediate resolution of the scenario at hand. And your actions may earn you valuable experience with which you can better prepare yourself for the adventures that still lie before you.

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(or up to three friends with two core sets) become characters within the quiet new England town of Arkham. You have your talents, sure, but you also have your flaws. Perhaps you've dabbled a little too much in the writings of the Necronomicon, and its words continue to haunt you. Perhaps you feel compelled to cover up any signs of otherworldly evils, hampering your own investigations in order to protect the quiet confidence of the greater population. Perhaps you'll be scarred by your encounters with a ghoulish cult. No matter what compels you, no matter what haunts you, you'll find both your strengths and weaknesses reflected in your custom deck of cards, and these cards will be your resources as you work with your friends to unravel the world's most terrifying mysteries. \\r\\n Meanwhile, each of your adventures in Arkham Horror: The Card Game carries you deeper into mystery. You'll find cultists and foul rituals. You'll find haunted houses and strange creatures. 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And your actions may earn you valuable experience with which you can better prepare yourself for the adventures that still lie before you. \"},\n", + " {'id': 'y56td93iXw',\n", + " 'handle': 'dead-of-winter-a-crossroads-game',\n", + " 'url': 'https://www.boardgameatlas.com/game/y56td93iXw/dead-of-winter-a-crossroads-game',\n", + " 'name': 'Dead of Winter: A Crossroads Game',\n", + " 'price': '53.95',\n", + " 'price_ca': '63.95',\n", + " 'price_uk': '8.94',\n", + " 'price_au': '19.95',\n", + " 'msrp': 59.95,\n", + " 'msrps': [{'country': 'UK', 'price': 9.99},\n", + " {'country': 'US', 'price': 59.95}],\n", + " 'discount': '0.10',\n", + " 'year_published': 2014,\n", + " 'min_players': 2,\n", + " 'max_players': 5,\n", + " 'min_playtime': 45,\n", + " 'max_playtime': 210,\n", + " 'min_age': 14,\n", + " 'description': \"

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Each player leads a faction of survivors with dozens of different characters in the game. Dead of Winter is a meta-cooperative psychological survival game. This means players are working together toward one common victory condition--but for each individual player to achieve victory, they must also complete their personal secret objective. This secret objective could relate to a psychological tick that's fairly harmless to most others in the colony, a dangerous obsession that could put the main objective at risk, a desire for sabotage of the main mission, or worst of all: vengeance against the colony! Certain games could end with all players winning, some winning and some losing, or all players losing. Work toward the group's goal but don't get walked all over by a loudmouth who's only looking out for their own interests! \"},\n", + " {'id': '61SwzHG7fB',\n", + " 'handle': 'sushi-go',\n", + " 'url': 'https://www.boardgameatlas.com/game/61SwzHG7fB/sushi-go',\n", + " 'name': 'Sushi Go!',\n", + " 'price': '7.39',\n", + " 'price_ca': '14.95',\n", + " 'price_uk': '9.95',\n", + " 'price_au': '21.99',\n", + " 'msrp': 13,\n", + " 'msrps': [{'country': 'US', 'price': 13},\n", + " {'country': 'CA', 'price': 0},\n", + " {'country': 'UK', 'price': 0},\n", + " {'country': 'AU', 'price': 0}],\n", + " 'discount': '0.43',\n", + " 'year_published': 2013,\n", + " 'min_players': 2,\n", + " 'max_players': 5,\n", + " 'min_playtime': 15,\n", + " 'max_playtime': 30,\n", + " 'min_age': 8,\n", + " 'description': \"

In this fast-playing card game, the goal is to grab the best combination of sushi dishes as they whiz by. Score points for making the most maki rolls or for collecting a full set of sashimi. Dip your favorite nigiri in wasabi to triple its value! But be sure to leave room for dessert or else you'll eat into your score! Gather the most points and consider yourself the sushi master!

\\r\\n

Sushi Go! takes the card-drafting mechanism of Fairy Tale and 7 Wonders and distills it into a twenty-minute game that anyone can play. The dynamics of "draft and pass" are brought to the fore, while keeping the rules to a minimum. As you see the first few hands of cards, you must quickly assess the make-up of the round and decide which type of sushi you'll go for. Then, each turn you'll need to weigh which cards to keep and which to pass on. The different scoring combinations allow for some clever plays and nasty blocks. Round to round, you must also keep your eye on the goal of having the most pudding cards at the end of the game!

\",\n", + " 'commentary': '

Sushi Go! quickly became a game about sushi once Phil Walker-Harding made the connection between passing cards around the table and seeing dishes move around a sushi train (if you\\'re curious, check out the full interview with Phil)

',\n", + " 'faq': '

Frequently Asked Questions

\\r\\n

How do you play this game?

\\r\\n

Here\\'s the official rulebook from Gamewright but if you don\\'t like to read, here\\'s a how-to-play video from Games Explained:

\\r\\n
\\r\\n
\\r\\n
\\r\\n
\\r\\n

What\\'s the difference between Sushi Go! and Sushi Go Party!?

\\r\\n

Here are some of the differences between the two games:

\\r\\n
    \\r\\n
  • Price: $13 MSRP for the original and $22 MSRP for Party
    • \\r\\n
  • Player count: 2-5 players for the original and 2-8 players for Party
    • \\r\\n
  • Box size: 4.25 x 5.75 x 1.5 inches for the original and 6.3 x 8.66 x 3.07 inches for Party
    • \\r\\n
  • Number of card types: 8 types of cards for the original and 23 types for Party
    • \\r\\n
\\r\\n

The original game is simpler to teach, easier to setup/cleanup, and more portable (they both come in tin boxes but the original is smaller). On the other hand, the Party version has more replay value due to the greater number of combinations you can pull off. It\\'s also more expensive.

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Card Game',\n", + " 'Zoch Verlag GmbH Sushi Go! Board Game',\n", + " 'Sushi Go'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1559254990668-51CIdEFrKKL.jpg',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1559254990668-51CIdEFrKKL.jpg',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1559254990668-51CIdEFrKKL.jpg',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1559254990668-51CIdEFrKKL.jpg',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254990668-51CIdEFrKKL.jpg'},\n", + " 'description_preview': ' In this fast-playing card game, the goal is to grab the best combination of sushi dishes as they whiz by. Score points for making the most maki rolls or for collecting a full set of sashimi. Dip your favorite nigiri in wasabi to triple its value! But be sure to leave room for dessert or else you\\'ll eat into your score! Gather the most points and consider yourself the sushi master! \\r\\n Sushi Go! takes the card-drafting mechanism of Fairy Tale and 7 Wonders and distills it into a twenty-minute game that anyone can play. The dynamics of \"draft and pass\" are brought to the fore, while keeping the rules to a minimum. As you see the first few hands of cards, you must quickly assess the make-up of the round and decide which type of sushi you\\'ll go for. Then, each turn you\\'ll need to weigh which cards to keep and which to pass on. The different scoring combinations allow for some clever plays and nasty blocks. Round to round, you must also keep your eye on the goal of having the most pudding cards at the end of the game! '},\n", + " {'id': 'GJ94Cl7cz5',\n", + " 'handle': 'ticket-to-ride-europe',\n", + " 'url': 'https://www.boardgameatlas.com/game/GJ94Cl7cz5/ticket-to-ride-europe',\n", + " 'name': 'Ticket to Ride: Europe',\n", + " 'price': '39.99',\n", + " 'price_ca': '49.95',\n", + " 'price_uk': '24.86',\n", + " 'price_au': '63.95',\n", + " 'msrp': 54.99,\n", + " 'msrps': [{'country': 'UK', 'price': 39.99},\n", + " {'country': 'US', 'price': 54.99}],\n", + " 'discount': '0.27',\n", + " 'year_published': 2005,\n", + " 'min_players': 2,\n", + " 'max_players': 5,\n", + " 'min_playtime': 30,\n", + " 'max_playtime': 60,\n", + " 'min_age': 8,\n", + " 'description': \"

Ticket to Ride: Europe takes you on a new train adventure across Europe. From Edinburgh to Constantinople and from Lisbon to Moscow, you'll visit great cities of turn-of-the-century Europe. Like the original Ticket to Ride, the game remains elegantly simple, can be learned in 5 minutes, and appeals to both families and experienced gamers.

Ticket to Ride: Europe is a complete and does not require the original version. More than just a new map, Ticket to Ride: Europe features brand new gameplay elements. Tunnels may require you to pay extra cards to build on them, Ferries require locomotive cards in order to claim them, and Stations allow you to sacrifice a few points in order to use an opponents route to connect yours.
\\r\\n
\\r\\nThe game also includes larger format cards and Train Station game pieces. The overall goal remains the same, collect and play train cards in order to place your pieces on the board, attempting to connect cities on your ticket cards. Points are earned both from placing trains and completing tickets but uncompleted tickets lose you points. The player who has the most points at the end of the game wins.

-International Gamers Award 2005

\",\n", + " 'commentary': '',\n", + " 'faq': '',\n", + " 'thumb_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254183527-61HYBjXXnEL.jpg',\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254183527-61HYBjXXnEL.jpg',\n", + " 'matches_specs': None,\n", + " 'specs': [{'id': 'FbhyxVWcOu'}],\n", + " 'mechanics': [{'id': 'iWODHwRGuU',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/iWODHwRGuU/undefined'},\n", + " {'id': 'WPytek5P8l',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'},\n", + " {'id': 'lA3KUtVFCy',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/lA3KUtVFCy/undefined'},\n", + " {'id': 'ohABM4GjbC',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/ohABM4GjbC/undefined'}],\n", + " 'categories': [{'id': 'JwHcKqxh33',\n", + " 'url': 'https://www.boardgameatlas.com/category/JwHcKqxh33/undefined'}],\n", + " 'publishers': [{'id': 'gniNJ5XEjM',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/gniNJ5XEjM/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'designers': [{'id': 'yozxd5BrMc',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/designer/yozxd5BrMc/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'primary_publisher': {'name': 'Days of Wonder',\n", + " 'id': 'gniNJ5XEjM',\n", + " 'url': 'https://www.boardgameatlas.com/publisher/gniNJ5XEjM/days-of-wonder'},\n", + " 'primary_designer': {'name': 'Alan R. Moon',\n", + " 'id': 'yozxd5BrMc',\n", + " 'url': 'https://www.boardgameatlas.com/designer/yozxd5BrMc/alan-r-moon'},\n", + " 'developers': [],\n", + " 'related_to': [],\n", + " 'artists': ['Cyrille Daujean', 'Julien Delval'],\n", + " 'names': ['¡Aventureros al Tren! Europa',\n", + " 'Les Aventuriers du Rail: Europe',\n", + " 'Menolippu Eurooppa',\n", + " 'Ticket to Ride: Europa',\n", + " 'Ticket to Ride: Európa',\n", + " 'Ticket to Ride: Evrópa',\n", + " 'Ticket to Ride: Evropa',\n", + " 'Ticket to Ride: Ευρώπη',\n", + " 'Ticket to Ride: Европа',\n", + " 'Wsiąść do Pociągu: Europa',\n", + " 'Zug um Zug: Europa',\n", + " 'チケット・トゥ・ライド・ヨーロッパ',\n", + " '铁路环游-欧洲篇'],\n", + " 'rules_url': None,\n", + " 'amazon_rank': 2784,\n", + " 'cs_rating': 4.5,\n", + " 'official_url': 'http://www.ticket2ridegame.com/index.php?utm_source=boardgameatlas.com&utm_medium=search&utm_campaign=bga_ads',\n", + " 'comment_count': 0,\n", + " 'num_user_ratings': 412,\n", + " 'average_user_rating': 3.6412804744787577,\n", + " 'weight_amount': 3.45,\n", + " 'weight_units': 'lbs',\n", + " 'size_height': 11.8,\n", + " 'size_width': 11.8,\n", + " 'size_depth': 3,\n", + " 'size_units': 'inches',\n", + " 'historical_low_prices': [{'country': 'AU',\n", + " 'date': '2021-04-07T20:48:28.076Z',\n", + " 'price': 63.95,\n", + " 'isLow': True},\n", + " {'country': 'UK',\n", + " 'date': '2021-06-27T04:48:48.291Z',\n", + " 'price': 24.86,\n", + " 'isLow': False},\n", + " {'country': 'US',\n", + " 'date': '2021-07-02T02:14:39.784Z',\n", + " 'price': 39.99,\n", + " 'isLow': False},\n", + " {'country': 'CA',\n", + " 'date': '2021-07-03T01:49:13.279Z',\n", + " 'price': 49.95,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 2,\n", + " 'average_learning_complexity': 1.5,\n", + " 'average_strategy_complexity': 2.5,\n", + " 'visits': 1421,\n", + " 'lists': 910,\n", + " 'mentions': 19,\n", + " 'links': 1,\n", + " 'plays': 1954,\n", + " 'rank': 49,\n", + " 'type': 'game',\n", + " 'sku': 'DOW7202',\n", + " 'upc': '824968717929',\n", + " 'num_distributors': 1,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 0,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$54.99',\n", + " 'price_text': '$39.99',\n", + " 'tags': ['Ticket to Ride: Europe',\n", + " 'TTR Europe',\n", + " 'Ticket to Ride Europe',\n", + " 'Ticket to Ride Europe board game',\n", + " '¡Aventureros al Tren! Europa',\n", + " 'Les Aventuriers du Rail: Europe',\n", + " 'Menolippu Eurooppa',\n", + " 'Ticket to Ride: Europa',\n", + " 'Ticket to Ride: Európa',\n", + " 'Ticket to Ride: Evrópa',\n", + " 'Ticket to Ride: Evropa',\n", + " 'Ticket to Ride: Ευρώπη',\n", + " 'Ticket to Ride: Европа',\n", + " 'Wsiąść do Pociągu: Europa',\n", + " 'Zug um Zug: Europa',\n", + " 'チケット・トゥ・ライド・ヨーロッパ',\n", + " '铁路环游-欧洲篇'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1559254183527-61HYBjXXnEL.jpg',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1559254183527-61HYBjXXnEL.jpg',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1559254183527-61HYBjXXnEL.jpg',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1559254183527-61HYBjXXnEL.jpg',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254183527-61HYBjXXnEL.jpg'},\n", + " 'description_preview': \" Ticket to Ride: Europe takes you on a new train adventure across Europe. From Edinburgh to Constantinople and from Lisbon to Moscow, you'll visit great cities of turn-of-the-century Europe. Like the original Ticket to Ride, the game remains elegantly simple, can be learned in 5 minutes, and appeals to both families and experienced gamers. Ticket to Ride: Europe is a complete and does not require the original version. More than just a new map, Ticket to Ride: Europe features brand new gameplay elements. Tunnels may require you to pay extra cards to build on them, Ferries require locomotive cards in order to claim them, and Stations allow you to sacrifice a few points in order to use an opponents route to connect yours. \\r\\n \\r\\nThe game also includes larger format cards and Train Station game pieces. The overall goal remains the same, collect and play train cards in order to place your pieces on the board, attempting to connect cities on your ticket cards. Points are earned both from placing trains and completing tickets but uncompleted tickets lose you points. The player who has the most points at the end of the game wins. -International Gamers Award 2005 \"},\n", + " {'id': '30ltPnwaqy',\n", + " 'handle': 'robinson-crusoe-adventures-on-the-cursed-island',\n", + " 'url': 'https://www.boardgameatlas.com/game/30ltPnwaqy/robinson-crusoe-adventures-on-the-cursed-island',\n", + " 'name': 'Robinson Crusoe: Adventures on the Cursed Island',\n", + " 'price': '44.99',\n", + " 'price_ca': '59.95',\n", + " 'price_uk': '41.95',\n", + " 'price_au': '78.95',\n", + " 'msrp': 65,\n", + " 'msrps': [{'country': 'US', 'price': 65},\n", + " {'country': 'CA', 'price': 0},\n", + " {'country': 'UK', 'price': 0},\n", + " {'country': 'AU', 'price': 0}],\n", + " 'discount': '0.31',\n", + " 'year_published': 2012,\n", + " 'min_players': 1,\n", + " 'max_players': 4,\n", + " 'min_playtime': 60,\n", + " 'max_playtime': 120,\n", + " 'min_age': 14,\n", + " 'description': \"

In Robinson Crusoe: Adventures on the Cursed Island\\xa0you will build a shelter, palisade, weapons, you will create tools like axes, knives, sacks, you will do everything you can to… to survive. You will have to find food, fight wild beasts, protect yourself from weather changes…

\\r\\n

Take the role of one of four characters from the ship crew (cook, carpenter, explorer or soldier) and face the adventure. Use your determination skills to help your team mates, discuss with them your plan and put it into practice. Debate, discuss, and work on the best plan you all can make.

\\r\\n

Search for treasures. Discover mysteries. Follow goals of six different, engaging scenarios. Start by building a big pile of wood and setting it on fire to call for help, and then start new adventures. Become an exorcist on cursed Island. Become a treasure hunter on Volcano Island. Become a rescue team for a young lady who’s stuck on rock island…

\\r\\n

In the 2016 edition players will find custom wooden pieced for all resources, thick cardboard player boards for each character, additional 7th scenario and what's most important, a completely rewritten rulebook.

\",\n", + " 'commentary': '',\n", + " 'faq': '',\n", + " 'thumb_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1605899190845',\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1605899190845',\n", + " 'matches_specs': None,\n", + " 'specs': [],\n", + " 'mechanics': [{'id': '9mNukNBxfZ',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/9mNukNBxfZ/undefined'},\n", + " {'id': 'R0bGq4cAl4',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'},\n", + " {'id': 'BeD8NYAaSU',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/BeD8NYAaSU/undefined'},\n", + " {'id': 'hmipYN1R1I',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/hmipYN1R1I/undefined'},\n", + " {'id': 'uZR0NCIA6D',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/uZR0NCIA6D/undefined'},\n", + " {'id': 'GUoWg3Mfh5',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/GUoWg3Mfh5/undefined'},\n", + " {'id': '8PN2HE86wg',\n", 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'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/1TaoBxZ3GH/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'd8pyVVIw4n',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/d8pyVVIw4n/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': '134bN9cRFH',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/134bN9cRFH/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'I1p0OTIBOl',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/I1p0OTIBOl/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'UPqP0MXLqj',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/UPqP0MXLqj/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'designers': [{'id': 'BrU1cCcj0G',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/designer/BrU1cCcj0G/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'primary_publisher': {'id': 'YnNKwCizDo',\n", + " 'name': 'Portal Games',\n", + " 'url': 'https://www.tabletopgameindustry.com/publisher/YnNKwCizDo/portal-games'},\n", + " 'primary_designer': {'id': 'BrU1cCcj0G',\n", + " 'name': 'Ignacy Trzewiczek',\n", + " 'url': 'https://www.boardgameatlas.com/designer/BrU1cCcj0G/ignacy-trzewiczek'},\n", + " 'developers': [],\n", + " 'related_to': [],\n", + " 'artists': ['Tomasz Bentkowski',\n", + " 'Mateusz Bielski',\n", + " 'Vincent Dutrait',\n", + " 'Jerzy Ferdyn',\n", + " 'Mateusz Kopacz',\n", + " 'Mateusz Lenart',\n", + " 'Maciej Mutwil',\n", + " 'Zhao Run Quan',\n", + " 'Rafał Szyma',\n", + " 'Piotr Słaby',\n", + " 'Ignacy Trzewiczek',\n", + " 'Michał J. Zieliński'],\n", + " 'names': [],\n", + " 'rules_url': 'https://portalgames.pl/files/rules/robinson_crusoe_rulebook.pdf',\n", + " 'amazon_rank': 29496,\n", + " 'official_url': 'https://portalgames.pl/en/all-game-list/robinson/?utm_source=boardgameatlas.com&utm_medium=search&utm_campaign=bga_ads',\n", + " 'sell_sheet_url': 'https://www.dropbox.com/s/tvisdl5pzdv2y1p/RobinsonCrusoe_2ed_USA.pdf?dl=0',\n", + " 'store_images_url': 'https://www.dropbox.com/sh/klct580xdzgv071/AAByH5KNam0A5NMviO5r4k6pa?dl=0',\n", + " 'comment_count': 0,\n", + " 'num_user_ratings': 296,\n", + " 'average_user_rating': 3.7890608963393766,\n", + " 'weight_units': 'lbs',\n", + " 'size_height': 11.75,\n", + " 'size_depth': 3,\n", + " 'size_units': 'inches',\n", + " 'historical_low_prices': [{'country': 'UK',\n", + " 'date': '2021-02-01T18:16:31.296Z',\n", + " 'price': 41.95,\n", + " 'isLow': False},\n", + " {'country': 'CA',\n", + " 'date': '2021-04-10T06:56:24.165Z',\n", + " 'price': 59.95,\n", + " 'isLow': False},\n", + " {'country': 'AU',\n", + " 'date': '2021-06-09T18:52:27.870Z',\n", + " 'price': 78.95,\n", + " 'isLow': False},\n", + " {'country': 'US',\n", + " 'date': '2021-06-25T14:13:26.661Z',\n", + " 'price': 44.99,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 7,\n", + " 'average_learning_complexity': 4.7142857142857135,\n", + " 'average_strategy_complexity': 3.428571428571429,\n", + " 'visits': 3296,\n", + " 'lists': 1239,\n", + " 'mentions': 62,\n", + " 'links': 2,\n", + " 'plays': 1277,\n", + " 'rank': 50,\n", + " 'type': 'game',\n", + " 'num_distributors': 0,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 11,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$65.00',\n", + " 'price_text': '$44.99',\n", + " 'tags': ['Robinson Crusoe: Adventure on the Cursed Island',\n", + " 'Robinson Crusoe: Abenteuer auf der verfluchten Insel',\n", + " 'Robinson Crusoe: Aventuras en la Isla Maldita',\n", + " 'Robinson Crusoe: Aventuras na Ilha Amaldiçoada',\n", + " \"Robinson Crusoé: Aventures sur l'île maudite\",\n", + " 'Robinson Crusoe: Dobrodružství na prokletém ostrově',\n", + " 'Robinson Crusoe: Kalandok Az Elátkozott Szigeten',\n", + " 'Robinson Crusoe: Przygoda na przeklętej wyspie',\n", + " \"Robinson Crusoe: Viaggio verso l'Isola Maledetta\",\n", + " 'Robinson Crusoes Vermächtnis',\n", + " 'Робинзон Крузо: Приключения на таинственном острове',\n", + " '鲁滨逊漂流记：诅咒岛之迷',\n", + " '로빈슨 크루소: 저주받은 섬의 모험',\n", + " 'Robinson Crusoe Adventures on the Cursed Island Edition',\n", + " 'Robinson Crusoe Adventures on the Cursed Island',\n", + " 'Robinson Crusoe Aventures sur land39Île Maudite FR',\n", + " 'Robinson Crusoe: Adventures on the Cursed Island',\n", + " 'Robinson Crusoe Adventures on the Cursed Island board game'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1605899190845',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1605899190845',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1605899190845',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1605899190845',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1605899190845'},\n", + " 'description_preview': \" In Robinson Crusoe: Adventures on the Cursed Island \\xa0you will build a shelter, palisade, weapons, you will create tools like axes, knives, sacks, you will do everything you can to… to survive. You will have to find food, fight wild beasts, protect yourself from weather changes… \\r\\n Take the role of one of four characters from the ship crew (cook, carpenter, explorer or soldier) and face the adventure. Use your determination skills to help your team mates, discuss with them your plan and put it into practice. Debate, discuss, and work on the best plan you all can make. \\r\\n Search for treasures. Discover mysteries. Follow goals of six different, engaging scenarios. Start by building a big pile of wood and setting it on fire to call for help, and then start new adventures. Become an exorcist on cursed Island. Become a treasure hunter on Volcano Island. Become a rescue team for a young lady who’s stuck on rock island… \\r\\n In the 2016 edition players will find custom wooden pieced for all resources, thick cardboard player boards for each character, additional 7th scenario and what's most important, a completely rewritten rulebook. \"},\n", + " {'id': 'LTnLSWIcbH',\n", + " 'handle': 'lost-cities',\n", + " 'url': 'https://www.boardgameatlas.com/game/LTnLSWIcbH/lost-cities',\n", + " 'name': 'Lost Cities',\n", + " 'price': '12.95',\n", + " 'price_ca': '18.95',\n", + " 'price_uk': '15.00',\n", + " 'price_au': '31.99',\n", + " 'msrp': 19.99,\n", + " 'msrps': [{'country': 'US', 'price': 19.99},\n", + " {'country': 'CA', 'price': 0},\n", + " {'country': 'UK', 'price': 0},\n", + " {'country': 'AU', 'price': 0}],\n", + " 'discount': '0.35',\n", + " 'year_published': 1999,\n", + " 'min_players': 2,\n", + " 'max_players': 2,\n", + " 'min_playtime': 30,\n", + " 'max_playtime': 45,\n", + " 'min_age': 10,\n", + " 'description': '

Who will discover the ancient civilizations?

Two explorers embark on research journeys to remote corners of the world: the Himalayan mountains, the Central American rainforest, the Egyptian desert, a mysterious volcano, and the bottom of the sea. As the cards are played, the expedition routes take shape and the explorers earn points. The most daring adventurers make bets on the success of their expeditions. The explorer with the highest score after three rounds of expeditions wins. The rules of the game are simple, but beware: The lost cities hold many unseen mysteries!

\\r\\n

Note: The 2019 edition came with a double sided game board and The Lost Expedition mini-expansion.

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Two explorers embark on research journeys to remote corners of the world: the Himalayan mountains, the Central American rainforest, the Egyptian desert, a mysterious volcano, and the bottom of the sea. As the cards are played, the expedition routes take shape and the explorers earn points. The most daring adventurers make bets on the success of their expeditions. The explorer with the highest score after three rounds of expeditions wins. The rules of the game are simple, but beware: The lost cities hold many unseen mysteries! \\r\\n Note: The 2019 edition came with a double sided game board and The Lost Expedition mini-expansion. '},\n", + " {'id': '3tAwjRDw8q',\n", + " 'handle': 'raiders-of-the-north-sea',\n", + " 'url': 'https://www.boardgameatlas.com/game/3tAwjRDw8q/raiders-of-the-north-sea',\n", + " 'name': 'Raiders of the North Sea',\n", + " 'price': '38.47',\n", + " 'price_ca': '51.95',\n", + " 'price_uk': '39.79',\n", + " 'price_au': '71.95',\n", + " 'msrp': 55,\n", + " 'msrps': [{'country': 'UK', 'price': 54.99},\n", + " {'country': 'US', 'price': 55}],\n", + " 'discount': '0.30',\n", + " 'year_published': 2015,\n", + " 'min_players': 2,\n", + " 'max_players': 4,\n", + " 'min_playtime': 60,\n", + " 'max_playtime': 120,\n", + " 'min_age': 12,\n", + " 'description': \"

Do you have what it takes to be a Viking? There's only one way to find out in ... Raiders of the North Sea. Your rewards await you as you assemble a crew, grab a ship and set out to claim victory in this fun game for 2-4 players!

\\r\\n

Your choices lie before you - work or raid? The key to any Vikings' successful attack on a harbor or fortress, is making sure you have enough provisions and crew. Place workers throughout the town to collect supplies and build your crew. And of course, what's more fun than raiding, pillaging and stealing plunder? Throughout the game, you'll be immersed in the Viking age with beautiful artwork and amazing quality components. Win the game through military strength, plunder and Valkyrie (victory points).

\\r\\n

Will the Chieftain be impressed with your conquest? Grab your war ax and put on your helmet, the North Sea awaits!

\\r\\n

Raiders of the North Sea uses hand management, set collection and worker placement mechanics in this great

\\r\\n

Contents:

\\r\\n
    \\r\\n
  • 1 Illustrated Rulebook
    • \\r\\n
  • 1 Game Board
    • \\r\\n
  • 122 Wooden Tokens
    • \\r\\n
  • 16 Offering Tiles
    • \\r\\n
  • 32 Silver Coins
    • \\r\\n
  • 32 Provisions
    • \\r\\n
  • 75 Cards
    • \\r\\n
  • 1 Cotton Bag
    • \\r\\n
  • 2 Dice
    • \\r\\n
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There's only one way to find out in ... Raiders of the North Sea. Your rewards await you as you assemble a crew, grab a ship and set out to claim victory in this fun game for 2-4 players! \\r\\n Your choices lie before you - work or raid? The key to any Vikings' successful attack on a harbor or fortress, is making sure you have enough provisions and crew. Place workers throughout the town to collect supplies and build your crew. And of course, what's more fun than raiding, pillaging and stealing plunder? Throughout the game, you'll be immersed in the Viking age with beautiful artwork and amazing quality components. Win the game through military strength, plunder and Valkyrie (victory points). \\r\\n Will the Chieftain be impressed with your conquest? Grab your war ax and put on your helmet, the North Sea awaits! \\r\\n Raiders of the North Sea uses hand management, set collection and worker placement mechanics in this great \\r\\n Contents: \\r\\n \\r\\n 1 Illustrated Rulebook \\r\\n 1 Game Board \\r\\n 122 Wooden Tokens \\r\\n 16 Offering Tiles \\r\\n 32 Silver Coins \\r\\n 32 Provisions \\r\\n 75 Cards \\r\\n 1 Cotton Bag \\r\\n 2 Dice \\r\\n \"},\n", + " {'id': 'KpKepc41At',\n", + " 'handle': 'sushi-go-party',\n", + " 'url': 'https://www.boardgameatlas.com/game/KpKepc41At/sushi-go-party',\n", + " 'name': 'Sushi Go Party!',\n", + " 'price': '17.50',\n", + " 'price_ca': '22.95',\n", + " 'price_uk': '10.49',\n", + " 'price_au': '32.95',\n", + " 'msrp': 22,\n", + " 'msrps': [{'country': 'CA', 'price': 0},\n", + " {'country': 'UK', 'price': 0},\n", + " {'country': 'US', 'price': 22}],\n", + " 'discount': '0.20',\n", + " 'year_published': 2016,\n", + " 'min_players': 2,\n", + " 'max_players': 8,\n", + " 'min_playtime': 30,\n", + " 'max_playtime': 45,\n", + " 'min_age': 8,\n", + " 'description': \"

Sushi Go!, is a party platter of mega maki, super sashimi, and endless edamame. You still earn points by picking winning sushi combos, but now you can customize each game by choosing a la carte from a menu of more than twenty delectable dishes. What's more, up to eight players can join in on the sushi-feast. Let the good times roll!

This deluxe edition features lots of opportunities to customize your playing experience. You'll find that while the overall game is basically the same, the variety of cards offers many new opportunities. You'll also notice that the strategy changes from game to game.

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10.49,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 4,\n", + " 'average_learning_complexity': 2.25,\n", + " 'average_strategy_complexity': 2.5,\n", + " 'visits': 2481,\n", + " 'lists': 1002,\n", + " 'mentions': 68,\n", + " 'links': 9,\n", + " 'plays': 2295,\n", + " 'rank': 53,\n", + " 'type': 'game',\n", + " 'num_distributors': 0,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 0,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$22.00',\n", + " 'price_text': '$17.50',\n", + " 'tags': ['スシゴーパーティ',\n", + " '초밥대왕',\n", + " 'Sushi Go Party!',\n", + " 'Sushi Go Party Pick And Pass Game',\n", + " 'Zoch Verlag GmbH ZOC05114 Sushi Go Party Board Game-German Version',\n", + " 'Sushi Go Party',\n", + " 'Sushi Go Party New Version of Sushi Go Card Game',\n", + " 'Sushi Go Party board game'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1559254183526-61DkuJEhUWL.jpg',\n", + " 'small': 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You still earn points by picking winning sushi combos, but now you can customize each game by choosing a la carte from a menu of more than twenty delectable dishes. What's more, up to eight players can join in on the sushi-feast. Let the good times roll! This deluxe edition features lots of opportunities to customize your playing experience. You'll find that while the overall game is basically the same, the variety of cards offers many new opportunities. You'll also notice that the strategy changes from game to game. \"},\n", + " {'id': 'gVe6pv5dKE',\n", + " 'handle': 'orlans-trade--intrigue',\n", + " 'url': 'https://www.boardgameatlas.com/game/gVe6pv5dKE/orlans-trade--intrigue',\n", + " 'name': 'Orléans: Trade & Intrigue',\n", + " 'price': '17.96',\n", + " 'price_ca': '22.95',\n", + " 'price_uk': '19.49',\n", + " 'price_au': '34.99',\n", + " 'msrp': 24.99,\n", + " 'msrps': [{'country': 'UK', 'price': 26.99},\n", + " {'country': 'US', 'price': 24.99}],\n", + " 'discount': '0.28',\n", + " 'year_published': 2016,\n", + " 'min_players': 2,\n", + " 'max_players': 5,\n", + " 'min_playtime': 90,\n", + " 'max_playtime': 90,\n", + " 'min_age': 12,\n", + " 'description': \"

The invasion has been thwarted successfully. It is now time to rise to prosperity again with spirited trade. Everybody \\xa0has \\xa0different \\xa0interests, though, plotting intrigues \\xa0to \\xa0eliminate the competition.

\\r\\n

Expand the game play of the award-winning Orleans with this 2nd expansion, Orleans: Trade & Intrigue. Compete to fulfill orders in towns, experience a variety of new events, and explore new rewards from beneficial deeds. And if you're so inclined, hire nefarious characters to thwart your opponents' plans!

\\r\\n

In addition to new place tiles, this expansion contains a new "beneficial deeds" game board, a new and challenging set of events, and trade contracts. The "Intrigue" introduces ways to hinder your opponents' progress or even allow you to take over your opponents' achievements.

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False},\n", + " {'country': 'UK',\n", + " 'date': '2021-06-23T05:39:39.003Z',\n", + " 'price': 19.49,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 0,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0,\n", + " 'visits': 1094,\n", + " 'lists': 347,\n", + " 'mentions': 14,\n", + " 'links': 1,\n", + " 'plays': 61,\n", + " 'rank': 53,\n", + " 'type': 'expansion',\n", + " 'sku': 'TTT4005',\n", + " 'upc': '9781938146114',\n", + " 'num_distributors': 1,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 0,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$24.99',\n", + " 'price_text': '$17.96',\n", + " 'tags': ['Orlean: Handel i Intryga',\n", + " 'Orléans: Comercio e Intriga',\n", + " 'Orléans: Commerce & Intrigue',\n", + " 'Orléans: Handel & Intrige',\n", + " 'Orléans: Intrigo',\n", + " 'Орлеан: Торговля и интриги',\n", + " 'Orleans Trade Intrigue',\n", + " 'Orléans Trade Intrigue',\n", + " 'Orleans Trade Intrigue Dent Ding',\n", + " 'Orleans Trade Intrigue Pre Order',\n", + " 'Orleans Trade Intrigue Expansion',\n", + " 'Orleans Trade Intrigue Expansion Last Chance',\n", + " 'Orleans Trade Intrique'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1559254789484-51Mpyx5lKAL.jpg',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1559254789484-51Mpyx5lKAL.jpg',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1559254789484-51Mpyx5lKAL.jpg',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1559254789484-51Mpyx5lKAL.jpg',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254789484-51Mpyx5lKAL.jpg'},\n", + " 'description_preview': ' The invasion has been thwarted successfully. It is now time to rise to prosperity again with spirited trade. Everybody \\xa0has \\xa0different \\xa0interests, though, plotting intrigues \\xa0to \\xa0eliminate the competition. \\r\\n Expand the game play of the award-winning Orleans with this 2nd expansion, Orleans: Trade & Intrigue . Compete to fulfill orders in towns, experience a variety of new events, and explore new rewards from beneficial deeds. And if you\\'re so inclined, hire nefarious characters to thwart your opponents\\' plans! \\r\\n In addition to new place tiles, this expansion contains a new \"beneficial deeds\" game board, a new and challenging set of events, and trade contracts. The \"Intrigue\" introduces ways to hinder your opponents\\' progress or even allow you to take over your opponents\\' achievements. '},\n", + " {'id': 'pPZnlKC4G3',\n", + " 'handle': 'inis',\n", + " 'url': 'https://www.boardgameatlas.com/game/pPZnlKC4G3/inis',\n", + " 'name': 'Inis',\n", + " 'price': '55.74',\n", + " 'price_ca': '147.77',\n", + " 'price_uk': '49.23',\n", + " 'price_au': '89.99',\n", + " 'msrp': 69.99,\n", + " 'msrps': [{'country': 'CA', 'price': 0},\n", + " {'country': 'UK', 'price': 0},\n", + " {'country': 'US', 'price': 69.99}],\n", + " 'discount': '0.20',\n", + " 'year_published': 2016,\n", + " 'min_players': 2,\n", + " 'max_players': 4,\n", + " 'min_playtime': 60,\n", + " 'max_playtime': 90,\n", + " 'min_age': 14,\n", + " 'description': \"
\\r\\n

In Inis, you play the role of a Celtic chieftain who has just arrived in a new land. You must construct sanctuaries for spiritual enlightenment, erect citadels to protect peaceful clans, and indulge your wanderlust by exploring the surrounding territories. As clans migrate throughout the land and come to coexist, their differences can lead to clashes, which are often resolved peacefully—but not always.

\\r\\n

Demonstrate your leadership by rallying clans loyal to your cause, and then the Great Council will have no choice but bestow the crown on you.

\\r\\n

The game's mechanics combine card drafting and area control to produce a system rich in strategic options and interpersonal interactions.\\xa0The tiles give every game a unique, gradually unfolding geography. The art brings Ireland's ancient epics and audacious heroes to life.

\\r\\n

There are three different types of cards in Inis:

\\r\\n
    \\r\\n
  • Action Cards - These are drafted each round and provide the base actions to deploy troops, move troops, attack, and play new regions.
    • \\r\\n
  • Advantage Cards - These are acquired as a result of controlling certain regions. Each region has its own Advantage Card you receive as a result of having the most troops in it.
    • \\r\\n
  • Epic Tales Cards - These unique and powerful cards evoke the Celtic gods and heroes to inspire the clans to accomplish legendary feats.
    • \\r\\n
\\r\\n
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'rules_url': 'http://www.matagot.com/data/atasamente/INIS_RULES_EN.pdf',\n", + " 'amazon_rank': 59244,\n", + " 'cs_rating': 4.6,\n", + " 'official_url': 'http://www.matagot.com/en/catalog/details/expert-games/1/inis/794?utm_source=boardgameatlas.com&utm_medium=search&utm_campaign=bga_ads',\n", + " 'comment_count': 0,\n", + " 'num_user_ratings': 201,\n", + " 'average_user_rating': 3.941768430574402,\n", + " 'weight_amount': 4.72,\n", + " 'weight_units': 'lbs ',\n", + " 'size_height': 10.9,\n", + " 'size_depth': 15.6,\n", + " 'size_units': 'inches ',\n", + " 'historical_low_prices': [{'country': 'AU',\n", + " 'date': '2021-03-12T23:15:47.376Z',\n", + " 'price': 89.99,\n", + " 'isLow': False},\n", + " {'country': 'CA',\n", + " 'date': '2021-06-22T03:03:53.043Z',\n", + " 'price': 147.77,\n", + " 'isLow': False},\n", + " {'country': 'US',\n", + " 'date': '2021-07-05T17:58:07.183Z',\n", + " 'price': 55.74,\n", + " 'isLow': False},\n", + " {'country': 'UK',\n", + " 'date': '2021-07-06T04:17:57.280Z',\n", + " 'price': 49.23,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 4,\n", + " 'average_learning_complexity': 3.25,\n", + " 'average_strategy_complexity': 3.25,\n", + " 'visits': 5965,\n", + " 'lists': 962,\n", + " 'mentions': 152,\n", + " 'links': 7,\n", + " 'plays': 739,\n", + " 'rank': 54,\n", + " 'type': 'game',\n", + " 'sku': 'ASMINI01',\n", + " 'upc': '3760146644953',\n", + " 'num_distributors': 1,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 34,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$69.99',\n", + " 'price_text': '$55.74',\n", + " 'tags': ['Иниш', 'イニシュ', 'Inis Edition'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1608452604536',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1608452604536',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1608452604536',\n", + " 'large': 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You must construct sanctuaries for spiritual enlightenment, erect citadels to protect peaceful clans, and indulge your wanderlust by exploring the surrounding territories. As clans migrate throughout the land and come to coexist, their differences can lead to clashes, which are often resolved peacefully—but not always. \\r\\n Demonstrate your leadership by rallying clans loyal to your cause, and then the Great Council will have no choice but bestow the crown on you. \\r\\n The game's mechanics combine card drafting and area control to produce a system rich in strategic options and interpersonal interactions.\\xa0The tiles give every game a unique, gradually unfolding geography. The art brings Ireland's ancient epics and audacious heroes to life. \\r\\n There are three different types of cards in Inis : \\r\\n \\r\\n Action Cards - These are drafted each round and provide the base actions to deploy troops, move troops, attack, and play new regions. \\r\\n Advantage Cards - These are acquired as a result of controlling certain regions. Each region has its own Advantage Card you receive as a result of having the most troops in it. \\r\\n Epic Tales Cards - These unique and powerful cards evoke the Celtic gods and heroes to inspire the clans to accomplish legendary feats. \\r\\n \\r\\n \"},\n", + " {'id': '80whsELHHo',\n", + " 'handle': 'die-quacksalber-von-quedlinburg-die-kruterhexen',\n", + " 'url': 'https://www.boardgameatlas.com/game/80whsELHHo/die-quacksalber-von-quedlinburg-die-kruterhexen',\n", + " 'name': 'The Quacks of Quedlinburg: The Herb Witches',\n", + " 'price': '26.99',\n", + " 'price_ca': '34.95',\n", + " 'price_uk': '14.79',\n", + " 'price_au': '57.99',\n", + " 'msrp': 34.99,\n", + " 'msrps': [{'country': 'CA', 'price': 0},\n", + " {'country': 'UK', 'price': 0},\n", + " {'country': 'US', 'price': 34.99}],\n", + " 'discount': '0.23',\n", + " 'year_published': 2019,\n", + " 'min_players': 2,\n", + " 'max_players': 5,\n", + " 'min_playtime': 45,\n", + " 'max_playtime': 45,\n", + " 'min_age': 10,\n", + " 'description': \"

The Quacks of Quedlinburg: The Herb Witches allows up to five players to compete at the same time, with this expansion also including more ingredient books, a new "fool's herb", and the introduction of herbal witches to add more variety.

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Insert',\n", + " 'Roll For The Galaxy Dice Game',\n", + " 'Roll for the Galaxy board game'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1559254202422-61MFI-RHExL.jpg',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1559254202422-61MFI-RHExL.jpg',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1559254202422-61MFI-RHExL.jpg',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1559254202422-61MFI-RHExL.jpg',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254202422-61MFI-RHExL.jpg'},\n", + " 'description_preview': ' Roll for the Galaxy is a dice game of building space empires for 2-5 players. Your dice represent your populace, whom you direct to develop new technologies, settle worlds, and ship goods. The player who best manages his workers and builds the most prosperous empire wins! This dice version of Race for the Galaxy takes players on a new journey through the Galaxy, but with the the feel of the original game. '},\n", + " {'id': 'nRGa6zZTQu',\n", + " 'handle': 'twilight-struggle',\n", + " 'url': 'https://www.boardgameatlas.com/game/nRGa6zZTQu/twilight-struggle',\n", + " 'name': 'Twilight Struggle',\n", + " 'price': '38.99',\n", + " 'price_ca': '59.95',\n", + " 'price_uk': '45.79',\n", + " 'price_au': '94.99',\n", + " 'msrp': 60,\n", + " 'msrps': [{'country': 'CA', 'price': 0},\n", + " {'country': 'UK', 'price': 0},\n", + " {'country': 'US', 'price': 60}],\n", + " 'discount': '0.35',\n", + " 'year_published': 2005,\n", + " 'min_players': 2,\n", + " 'max_players': 2,\n", + " 'min_playtime': 120,\n", + " 'max_playtime': 180,\n", + " 'min_age': 13,\n", + " 'description': '

Twilight Struggle is a two-player game simulating the forty-five year dance of intrigue, prestige, and occasional flares of warfare between the Soviet Union and the United States. Twilight Struggle recreates the conflict between the most powerful nation states the world has ever known. The scope of the game covers the entire world as it was found in 1945. Players move units and exert influence in attempts to gain allies and control for their superpower.

\\r\\n

Components (original edition):

\\r\\n
    \\r\\n
  • 228 full colour counters
    • \\r\\n
  • 22"x34" full colour map
    • \\r\\n
  • 103 event cards
    • \\r\\n
  • 2 six-sided dice
    • \\r\\n
  • 1 24-page rulebook
    • \\r\\n
  • 2 full colour player aid cards
    • \\r\\n
\\r\\n

Components (2009 Deluxe edition and after)

\\r\\n
    \\r\\n
  • 260 full colour counters
    • \\r\\n
  • 22"x34" mounted map with revised graphics
    • \\r\\n
  • 110 event cards
    • \\r\\n
  • 2 six-sided dice
    • \\r\\n
  • 1 24-page rulebook
    • \\r\\n
  • 2 full colour player aid cards
    • \\r\\n
\\r\\n

\\xa0

\\r\\n

TIME SCALE: approx. 3-5 years per turn
MAP SCALE: Point-to-point system
UNIT SCALE: Influence markers
NUMBER OF PLAYERS: 2

\\r\\n

DESIGNER: Ananda Gupta & Jason Matthews
MAP, CARD, & COUNTER ART: Mark Simonitch

',\n", + " 'commentary': '',\n", + " 'faq': '',\n", + " 'thumb_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254888822-51yDrXS9TRL.jpg',\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254888822-51yDrXS9TRL.jpg',\n", + " 'matches_specs': None,\n", + " 'specs': [],\n", + " 'mechanics': [{'id': '05zCZoLvQJ',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/05zCZoLvQJ/undefined'},\n", + " {'id': 'xuphiSlrxI',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/xuphiSlrxI/undefined'},\n", + " {'id': 'R0bGq4cAl4',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'},\n", + " {'id': 'WPytek5P8l',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'},\n", + " {'id': 'eRe1jJCBFe',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/eRe1jJCBFe/undefined'},\n", + " {'id': 'DEvPj5twid',\n", + " 'url': 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None}},\n", + " {'id': 'ykj2Rkb6pw',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/ykj2Rkb6pw/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'quC7I8nHtg',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/quC7I8nHtg/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'CFyCoJR7q0',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/publisher/CFyCoJR7q0/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'yB7ysL3OCY',\n", + " 'num_games': 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'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/designer/VwwEUZfAiR/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}},\n", + " {'id': 'nstvHDCQ7E',\n", + " 'num_games': None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/designer/nstvHDCQ7E/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'primary_publisher': {'id': 'd5oY0duBgG',\n", + " 'name': 'GMT Games',\n", + " 'url': 'https://www.boardgameatlas.com/publisher/d5oY0duBgG/gmt-games'},\n", + " 'primary_designer': {'id': 'VwwEUZfAiR',\n", + " 'name': 'Ananda Gupta',\n", + " 'url': 'https://www.boardgameatlas.com/designer/VwwEUZfAiR/ananda-gupta'},\n", + " 'developers': [],\n", + " 'related_to': [],\n", + " 'artists': ['Viktor Csete',\n", + " 'Rodger B. MacGowan',\n", + " 'Chechu Nieto',\n", + " 'Guillaume Ries',\n", + " 'Mark Simonitch'],\n", + " 'names': [],\n", + " 'rules_url': 'https://www.gmtgames.com/nnts/TS_Rules-2015.pdf',\n", + " 'amazon_rank': 17884,\n", + " 'official_url': 'https://www.gmtgames.com/p-588-twilight-struggle-deluxe-edition-2016-reprint.aspx?utm_source=boardgameatlas.com&utm_medium=search&utm_campaign=bga_ads',\n", + " 'comment_count': 0,\n", + " 'num_user_ratings': 289,\n", + " 'average_user_rating': 3.933391003460206,\n", + " 'weight_amount': 3.53,\n", + " 'weight_units': 'lbs ',\n", + " 'size_height': 12,\n", + " 'size_depth': 2.1,\n", + " 'size_units': 'inches ',\n", + " 'historical_low_prices': [{'country': 'AU',\n", + " 'date': '2021-03-19T11:24:10.627Z',\n", + " 'price': 94.99,\n", + " 'isLow': False},\n", + " {'country': 'UK',\n", + " 'date': '2021-06-26T08:54:31.978Z',\n", + " 'price': 45.79,\n", + " 'isLow': False},\n", + " {'country': 'CA',\n", + " 'date': '2021-06-26T08:54:32.037Z',\n", + " 'price': 59.95,\n", + " 'isLow': True},\n", + " {'country': 'US',\n", + " 'date': '2021-07-06T05:12:30.090Z',\n", + " 'price': 38.99,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 2,\n", + " 'average_learning_complexity': 3,\n", + " 'average_strategy_complexity': 4,\n", + " 'visits': 2113,\n", + " 'lists': 918,\n", + " 'mentions': 27,\n", + " 'links': 8,\n", + " 'plays': 1261,\n", + " 'rank': 57,\n", + " 'type': 'game',\n", + " 'sku': 'GMT0510-11',\n", + " 'upc': '817054010691',\n", + " 'num_distributors': 2,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 0,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$60.00',\n", + " 'price_text': '$38.99',\n", + " 'tags': ['Gleichgewicht des Schreckens',\n", + " 'Studená válka 1945-1989',\n", + " 'Twilight Struggle: Zimna wojna 1945-1989',\n", + " 'Zimna wojna 1945-1989',\n", + " 'Сумеречная борьба',\n", + " 'トワイライト・ストラグル',\n", + " '冷战热斗 (冷戰熱鬥)',\n", + " '晨昏对峙（晨昏對峙）',\n", + " '황혼의 투쟁',\n", + " 'Twilight Struggle: The Cold War, 1945-1989',\n", + " 'Twilight Struggle Deluxe Edition',\n", + " 'Twilight Struggle 2012 Deluxe Edition',\n", + " 'Twilight Struggle 2016 Edition Last Chance',\n", + " 'Twilight Struggle 2015 Deluxe Edition',\n", + " 'Twilight Struggle 2019 Deluxe Edition Printing',\n", + " 'Twilight Struggle 2014 Deluxe Edition',\n", + " 'Twilight Struggle Edition',\n", + " 'Twilight Struggle 2009 Deluxe Edition',\n", + " \"Twilight Struggle Collector's Edition\",\n", + " 'Twilight Struggle Deluxe Edition latest',\n", + " 'Twilight Struggle DLX',\n", + " 'Twilight Struggle',\n", + " 'Twilight Struggle board game',\n", + " 'Twilight Struggle 2016 Deluxe Edition',\n", + " 'Twilight Struggle: The Cold War, 1945-1989 Board Game',\n", + " 'Twilight Struggle: The Cold War 1945-1989',\n", + " 'Twilight Struggle 2011 Deluxe Edition',\n", + " 'Twilight Struggle Deluxe Edition 8th Printing',\n", + " 'Twilight Struggle Deluxe Edition 7th Printing Last Chance'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1559254888822-51yDrXS9TRL.jpg',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1559254888822-51yDrXS9TRL.jpg',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1559254888822-51yDrXS9TRL.jpg',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1559254888822-51yDrXS9TRL.jpg',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254888822-51yDrXS9TRL.jpg'},\n", + " 'description_preview': ' Twilight Struggle is a two-player game simulating the forty-five year dance of intrigue, prestige, and occasional flares of warfare between the Soviet Union and the United States. Twilight Struggle recreates the conflict between the most powerful nation states the world has ever known. The scope of the game covers the entire world as it was found in 1945. Players move units and exert influence in attempts to gain allies and control for their superpower. \\r\\n Components (original edition): \\r\\n \\r\\n 228 full colour counters \\r\\n 22\"x34\" full colour map \\r\\n 103 event cards \\r\\n 2 six-sided dice \\r\\n 1 24-page rulebook \\r\\n 2 full colour player aid cards \\r\\n \\r\\n Components (2009 Deluxe edition and after) \\r\\n \\r\\n 260 full colour counters \\r\\n 22\"x34\" mounted map with revised graphics \\r\\n 110 event cards \\r\\n 2 six-sided dice \\r\\n 1 24-page rulebook \\r\\n 2 full colour player aid cards \\r\\n \\r\\n \\xa0 \\r\\n TIME SCALE: approx. 3-5 years per turn MAP SCALE: Point-to-point system UNIT SCALE: Influence markers NUMBER OF PLAYERS: 2 \\r\\n DESIGNER: Ananda Gupta & Jason Matthews MAP, CARD, & COUNTER ART: Mark Simonitch '},\n", + " {'id': 'H3yXWu5No0',\n", + " 'handle': 'dixit',\n", + " 'url': 'https://www.boardgameatlas.com/game/H3yXWu5No0/dixit',\n", + " 'name': 'Dixit',\n", + " 'price': '31.49',\n", + " 'price_ca': '32.95',\n", + " 'price_uk': '21.79',\n", + " 'price_au': '49.95',\n", + " 'msrp': 39.99,\n", + " 'msrps': [{'country': 'US', 'price': 39.99}],\n", + " 'discount': '0.21',\n", + " 'year_published': 2008,\n", + " 'min_players': 3,\n", + " 'max_players': 6,\n", + " 'min_playtime': 30,\n", + " 'max_playtime': 42,\n", + " 'min_age': 8,\n", + " 'description': '

Dixit\\xa0is a lovingly illustrated game of creative guesswork, where your imagination unlocks the tale!

\\r\\n

How to Play:

\\r\\n

1. On your turn, as the storyteller, choose a card from your hand and give a clue for it (word, sentence, song, etc.).

\\r\\n

2. All other players choose one of their cards that best fits your clue. Shuffle and reveal all chosen cards.

\\r\\n

3. All players then secretly guess which card is yours, using the voting tokens. Once all votes are done, the scoring begins!

\\r\\n

Winner of the 2010 "Spiel des Jahres" German Board Game of the Year Award.

\\r\\n

Contents:
84 Oversized Image Cards
1 Scoreboard
6 Wooden Rabbits
36 Voting Tokens
Rules

',\n", + " 'commentary': '',\n", + " 'faq': '',\n", + " 'thumb_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559258092947-61SvciVJLlL.jpg',\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559258092947-61SvciVJLlL.jpg',\n", + " 'matches_specs': None,\n", + " 'specs': [],\n", + " 'mechanics': [{'id': '0ez69aUfuJ',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/0ez69aUfuJ/undefined'},\n", + " {'id': 'DEvPj5twid',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/DEvPj5twid/undefined'},\n", + " {'id': 'GUoWg3Mfh5',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/GUoWg3Mfh5/undefined'},\n", + " {'id': 'JYYdBW6UCE',\n", + " 'url': 'https://www.boardgameatlas.com/mechanic/JYYdBW6UCE/undefined'}],\n", + " 'categories': [{'id': 'hBqZ3Ar4RJ',\n", + " 'url': 'https://www.boardgameatlas.com/category/hBqZ3Ar4RJ/undefined'},\n", + " {'id': 'eX8uuNlQkQ',\n", + " 'url': 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None,\n", + " 'score': 9999999,\n", + " 'game': {},\n", + " 'url': 'https://www.boardgameatlas.com/designer/tbbM270CCZ/undefined',\n", + " 'images': {'thumb': None,\n", + " 'small': None,\n", + " 'medium': None,\n", + " 'large': None,\n", + " 'original': None}}],\n", + " 'primary_publisher': {'id': 'Xq3VQhNYZC',\n", + " 'name': 'Libellud',\n", + " 'url': 'https://www.boardgameatlas.com/publisher/Xq3VQhNYZC/libellud'},\n", + " 'primary_designer': {'id': 'tbbM270CCZ',\n", + " 'name': 'Jean-Louis Roubira',\n", + " 'url': 'https://www.boardgameatlas.com/designer/tbbM270CCZ/jeanlouis-roubira'},\n", + " 'developers': [],\n", + " 'related_to': [],\n", + " 'artists': ['Marie Cardouat'],\n", + " 'names': [],\n", + " 'rules_url': 'https://www.libellud.com/wp-content/uploads/2019/06/DIXIT_RULES_EN.pdf',\n", + " 'amazon_rank': 2675,\n", + " 'cs_rating': 4.2,\n", + " 'official_url': 'https://www.asmodee.co.uk/featured-product/dixit/?utm_source=boardgameatlas.com&utm_medium=search&utm_campaign=bga_ads',\n", + " 'comment_count': 0,\n", + " 'num_user_ratings': 430,\n", + " 'average_user_rating': 3.402400185223297,\n", + " 'weight_amount': 1.8,\n", + " 'weight_units': 'lbs',\n", + " 'size_height': 11,\n", + " 'size_depth': 2.2,\n", + " 'size_units': 'inches ',\n", + " 'historical_low_prices': [{'country': 'AU',\n", + " 'date': '2021-04-07T16:59:00.318Z',\n", + " 'price': 49.95,\n", + " 'isLow': True},\n", + " {'country': 'US',\n", + " 'date': '2021-06-26T19:41:03.153Z',\n", + " 'price': 31.49,\n", + " 'isLow': False},\n", + " {'country': 'UK',\n", + " 'date': '2021-07-03T04:13:19.056Z',\n", + " 'price': 21.79,\n", + " 'isLow': False}],\n", + " 'active': True,\n", + " 'num_user_complexity_votes': 3,\n", + " 'average_learning_complexity': 1.3333333333333333,\n", + " 'average_strategy_complexity': 2,\n", + " 'visits': 1632,\n", + " 'lists': 940,\n", + " 'mentions': 15,\n", + " 'links': 11,\n", + " 'plays': 1751,\n", + " 'rank': 58,\n", + " 'type': 'game',\n", + " 'sku': 'ASMDIX01',\n", + " 'upc': '9782914849654',\n", + " 'num_distributors': 1,\n", + " 'trending_rank': 0,\n", + " 'listing_clicks': 0,\n", + " 'is_historical_low': False,\n", + " 'msrp_text': '$39.99',\n", + " 'price_text': '$31.49',\n", + " 'tags': ['Диксит',\n", + " 'ディクシット',\n", + " '妙不可言',\n", + " '妙語說書人',\n", + " '言不達意',\n", + " '隻字片語',\n", + " '隻言片語',\n", + " '딕싯',\n", + " 'Dixit',\n", + " 'Dixit Base Game',\n", + " 'Dixit Edition',\n", + " 'Dixit Base Core Game',\n", + " 'Asmodee Dixit Board Game Standard',\n", + " 'Dixit 1st Edition'],\n", + " 'images': {'thumb': 'https://d2k4q26owzy373.cloudfront.net/40x40/games/uploaded/1559258092947-61SvciVJLlL.jpg',\n", + " 'small': 'https://d2k4q26owzy373.cloudfront.net/150x150/games/uploaded/1559258092947-61SvciVJLlL.jpg',\n", + " 'medium': 'https://d2k4q26owzy373.cloudfront.net/350x350/games/uploaded/1559258092947-61SvciVJLlL.jpg',\n", + " 'large': 'https://d2k4q26owzy373.cloudfront.net/700x700/games/uploaded/1559258092947-61SvciVJLlL.jpg',\n", + " 'original': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559258092947-61SvciVJLlL.jpg'},\n", + " 'description_preview': ' Dixit \\xa0is a lovingly illustrated game of creative guesswork, where your imagination unlocks the tale! \\r\\n How to Play: \\r\\n 1. On your turn, as the storyteller, choose a card from your hand and give a clue for it (word, sentence, song, etc.). \\r\\n 2. All other players choose one of their cards that best fits your clue. Shuffle and reveal all chosen cards. \\r\\n 3. All players then secretly guess which card is yours, using the voting tokens. Once all votes are done, the scoring begins! \\r\\n Winner of the 2010 \"Spiel des Jahres\" German Board Game of the Year Award. \\r\\n Contents: 84 Oversized Image Cards 1 Scoreboard 6 Wooden Rabbits 36 Voting Tokens Rules '}],\n", + " 'count': 128767}" + ] + }, + "execution_count": 391, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "print('BACKUP THAT WORKS, DONT TOUCH EMA')\n", + "search = ''\n", + "\n", + "#&msrp=60\n", + "#&score!=none\n", + "#¶meter = yes/no\n", + "#skip = nº of result to be skipped\n", + "#&fields=name\n", + "\n", + "#bgatlas = requests.get(url = f'https://api.boardgameatlas.com/api/search?name={search}&client_id=U3E6STzUeQ&limit=0')\n", + "\n", + "bgatlas = requests.get(url = f'https://api.boardgameatlas.com/api/search?name={search}&client_id=U3E6STzUeQ&limit=30&skip=30&fields=')\n", + "#&fields=image_url\n", + "\n", + "\n", + "#dict_df = {key is gonna be name: value is names of bg, key is rules, value rules of bg}\n", + "#name \n", + "#price\n", + "#msrp * coeff to get euros\n", + "#mechanics ____\n", + "#categories ____\n", + "#rules_url\n", + "#average_learning_complexity: 2, # show as a bar chart 4ex, showing input and recommendation _____________ \n", + "#average_strategy_complexity: 3, ______________________\n", + "#min_players ________\n", + "\n", + "databg = json.loads(bgatlas.text)\n", + "\n", + "#efe = pd.DataFrame(databg[\"games\"])\n", + "\n", + "#efe.columns\n", + "\n", + "#efe[\"mechanics\"]\n", + "\n", + "databg" + ] + }, + { + "cell_type": "markdown", + "id": "e49887a6", + "metadata": {}, + "source": [ + "#### Analyzing \"Mechanics\" and \"Categories\" features of BG" + ] + }, + { + "cell_type": "code", + "execution_count": 361, + "id": "8156e73c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "183" + ] + }, + "execution_count": 361, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#https://api.boardgameatlas.com/api/game/mechanics?client_id=U3E6STzUeQ\n", + "\n", + "bgatlas_mec = requests.get(url = 'https://api.boardgameatlas.com/api/game/mechanics?client_id=U3E6STzUeQ')\n", + "\n", + "bgatlas_mec.text\n", + "databg_mechanics = json.loads(bgatlas_mec.text)\n", + "\n", + "\n", + "BGlist_mec_name = []\n", + "\n", + "for i in range(0, len(databg_mechanics[\"mechanics\"])):\n", + " mec_name = databg_mechanics[\"mechanics\"][i][\"name\"]\n", + " BGlist_mec_name.append(mec_name)\n", + " \n", + "len(BGlist_mec_name)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a4abbfbd", + "metadata": {}, + "outputs": [], + "source": [ + "# Tik tok solution changing mages to wizard\n", + "\n", + "\"Mage\"\n", + "\\b[mM]age\\b\n" + ] + }, + { + "cell_type": "markdown", + "id": "38824a0f", + "metadata": {}, + "source": [ + "#### Getting DF(name_list + id_list) for CATEGORIES" + ] + }, + { + "cell_type": "code", + "execution_count": 362, + "id": "a1f03284", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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BG Category IDBG Category Name
02bdFPJUvFo18XX
185OKv8p5Ow4x
2hBqZ3Ar4RJAbstract
3KUBCKBkGxVAdventure
4DjAhqEHOD0Aerial Warfare
.........
126wTLJSVEbm6World War I
127fl3TogdUzXWorld War II
128OlkGBmu4VaWorld War III
129FmGV9rVu1cZombies
130B1N2QOByClZone Control
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" + ], + "text/plain": [ + " BG Category ID BG Category Name\n", + "0 2bdFPJUvFo 18XX\n", + "1 85OKv8p5Ow 4x\n", + "2 hBqZ3Ar4RJ Abstract\n", + "3 KUBCKBkGxV Adventure\n", + "4 DjAhqEHOD0 Aerial Warfare\n", + ".. ... ...\n", + "126 wTLJSVEbm6 World War I\n", + "127 fl3TogdUzX World War II\n", + "128 OlkGBmu4Va World War III\n", + "129 FmGV9rVu1c Zombies\n", + "130 B1N2QOByCl Zone Control\n", + "\n", + "[131 rows x 2 columns]" + ] + }, + "execution_count": 362, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bgatlas_cat = requests.get(url = 'https://api.boardgameatlas.com/api/game/categories?client_id=U3E6STzUeQ')\n", + "\n", + "bgatlas_cat.text\n", + "databg_cat = json.loads(bgatlas_cat.text)\n", + "\n", + "BGlist_cat_name = []\n", + "BGlist_cat_id = []\n", + "\n", + "for i in range(0, len(databg_cat[\"categories\"])):\n", + " cat_id = databg_cat[\"categories\"][i][\"id\"]\n", + " cat_name = databg_cat[\"categories\"][i][\"name\"]\n", + " BGlist_cat_name.append(cat_name)\n", + " BGlist_cat_id.append(cat_id)\n", + "\n", + " \n", + "#print(BGlist_cat_id, BGlist_cat_name)\n", + "\n", + "## Creating DF w/ Categories\n", + "\n", + "\n", + "#BG_cat_comparison = pd.DataFrame(list(zip(lst, lst2)),columns =['Name', 'val']) STRUCTURE TO CREATE DF FROM LISTS\n", + "DF_BG_cat_comparison = pd.DataFrame(list(zip(BGlist_cat_id, BGlist_cat_name)),columns =['BG Category ID', 'BG Category Name'])\n", + "\n", + "Sample_categoriesBG = DF_BG_cat_comparison.sample(10)\n", + " \n", + "#len(BGlist_cat_name)\n", + "\n", + "#'2bdFPJUvFo', '85OKv8p5Ow', 'hBqZ3Ar4RJ', 'KUBCKBkGxV', 'DjAhqEHOD0'\n", + "#'18XX', '4x', 'Abstract', 'Adventure', 'Aerial Warfare'\n", + "\n", + "DF_BG_cat_comparison" + ] + }, + { + "cell_type": "markdown", + "id": "dcdffbb9", + "metadata": {}, + "source": [ + "#### Getting DF(name_list + id_list) for MECHANICS" + ] + }, + { + "cell_type": "code", + "execution_count": 974, + "id": "6cba429f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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BG Mechanics IDBG Mechanics Name
0n1GtBt35RdActing
1PGjmKGi26hAction / Movement Programming
2UAV3t3FxVIAction Drafting
3oeg6wN9EocAction Point Allowance System
4ckCp1oTVMyAction Queue
.........
178JYYdBW6UCEVoting
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180fBOTEBUAmVWorker Placement
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182M7pWAuRX2dZone of Control
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" + ], + "text/plain": [ + " BG Mechanics ID BG Mechanics Name\n", + "0 n1GtBt35Rd Acting\n", + "1 PGjmKGi26h Action / Movement Programming\n", + "2 UAV3t3FxVI Action Drafting\n", + "3 oeg6wN9Eoc Action Point Allowance System\n", + "4 ckCp1oTVMy Action Queue\n", + ".. ... ...\n", + "178 JYYdBW6UCE Voting\n", + "179 75z0cfeKVU Word Forming\n", + "180 fBOTEBUAmV Worker Placement\n", + "181 B30dz3Ljjx Worker Placement with Dice Workers\n", + "182 M7pWAuRX2d Zone of Control\n", + "\n", + "[183 rows x 2 columns]" + ] + }, + "execution_count": 974, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bgatlas_mec = requests.get(url = 'https://api.boardgameatlas.com/api/game/mechanics?client_id=U3E6STzUeQ')\n", + "\n", + "bgatlas_mec.text\n", + "databg_mec = json.loads(bgatlas_mec.text)\n", + "\n", + "BGlist_mec_name = []\n", + "BGlist_mec_id = []\n", + "\n", + "for i in range(0, len(databg_mec[\"mechanics\"])):\n", + " mec_id = databg_mec[\"mechanics\"][i][\"id\"]\n", + " mec_name = databg_mec[\"mechanics\"][i][\"name\"]\n", + " BGlist_mec_name.append(mec_name)\n", + " BGlist_mec_id.append(mec_id)\n", + "\n", + " \n", + "#print(BGlist_cat_id, BGlist_cat_name)\n", + "\n", + "## Creating DF w/ Categories\n", + "\n", + "\n", + "#BG_cat_comparison = pd.DataFrame(list(zip(lst, lst2)),columns =['Name', 'val']) STRUCTURE TO CREATE DF FROM LISTS\n", + "DF_BG_mec_comparison = pd.DataFrame(list(zip(BGlist_mec_id, BGlist_mec_name)),columns =['BG Mechanics ID', 'BG Mechanics Name'])\n", + "\n", + "Sample_mechanicsBG = DF_BG_mec_comparison.sample(10)\n", + " \n", + "#len(BGlist_cat_name)\n", + "\n", + "#'2bdFPJUvFo', '85OKv8p5Ow', 'hBqZ3Ar4RJ', 'KUBCKBkGxV', 'DjAhqEHOD0'\n", + "#'18XX', '4x', 'Abstract', 'Adventure', 'Aerial Warfare'\n", + "\n", + "DF_BG_mec_comparison" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "884975af", + "metadata": {}, + "outputs": [], + "source": [ + "DF_BG_cat_comparison[price < range].sample(10) # to get the range of prices" + ] + }, + { + "cell_type": "markdown", + "id": "4d67264e", + "metadata": {}, + "source": [ + "## Machine Learning" + ] + }, + { + "cell_type": "markdown", + "id": "44929731", + "metadata": {}, + "source": [ + "### Scaling" + ] + }, + { + "cell_type": "code", + "execution_count": 1081, + "id": "df878f2e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 2.208483\n", + "1 1.581185\n", + "2 1.114179\n", + "3 2.208483\n", + "4 1.530323\n", + " ... \n", + "1015 -0.758469\n", + "1016 -0.758469\n", + "1017 -0.758469\n", + "1018 -0.758469\n", + "1019 -0.758469\n", + "Name: BG_avg_learning, Length: 1020, dtype: float64\n", + "0 3.888889\n", + "1 3.066667\n", + "2 2.454545\n", + "3 3.888889\n", + "4 3.000000\n", + " ... \n", + "1015 0.000000\n", + "1016 0.000000\n", + "1017 0.000000\n", + "1018 0.000000\n", + "1019 0.000000\n", + "Name: BG_avg_learning, Length: 1020, dtype: float64\n" + ] + } + ], + "source": [ + "final_copy_test = final_copy.copy()\n", + "\n", + "scaler = StandardScaler()\n", + "\n", + "scaler.fit(final_copy)\n", + "\n", + "Full_scaled = scaler.transform(final_copy)\n", + "Full_scaled_df = pd.DataFrame(Full_scaled, columns = final_copy.columns)\n", + "display(Full_scaled_df.head())\n", + "#print()\n", + "\n", + "\n", + "#print(Full_scaled_df[\"BG_avg_learning\"])\n", + "#print(final_copy[\"BG_avg_learning\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 1082, + "id": "017d3742", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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3dFd0RwsY4ActingAction / Movement ProgrammingAction DraftingAction Point Allowance SystemAction QueueAction SelectionAlliancesArea ControlArea Enclosure...TrainsTransportationTravelTriviaVideo Game ThemeWargameWerewolvesWord GameWorld War IIZombies
count1.020000e+031.020000e+031.020000e+031.020000e+031.020000e+031.020000e+031.020000e+031.020000e+031.020000e+031.020000e+03...1.020000e+031.020000e+031.020000e+031.020000e+031.020000e+031.020000e+031.020000e+031.020000e+031.020000e+031.020000e+03
mean-1.745880e-162.751067e-172.911614e-175.642273e-16-6.617800e-174.112179e-161.910509e-164.492185e-16-7.073862e-164.628650e-17...1.220157e-161.750234e-16-1.182877e-16-1.132945e-161.737989e-164.293407e-16-1.394173e-16-1.134713e-174.710284e-171.777173e-16
std1.000491e+001.000491e+001.000491e+001.000491e+001.000491e+001.000491e+001.000491e+001.000491e+001.000491e+001.000491e+00...1.000491e+001.000491e+001.000491e+001.000491e+001.000491e+001.000491e+001.000491e+001.000491e+001.000491e+001.000491e+00
min-4.432422e-02-8.891084e-02-1.552301e-01-9.435082e-02-2.693607e-01-1.091089e-01-9.950372e-02-5.431254e-02-3.616910e-01-1.179682e-01...-1.518855e-01-1.414214e-01-1.179682e-01-5.431254e-02-7.692308e-02-1.710654e-01-5.431254e-02-9.435082e-02-7.692308e-02-7.692308e-02
25%-4.432422e-02-8.891084e-02-1.552301e-01-9.435082e-02-2.693607e-01-1.091089e-01-9.950372e-02-5.431254e-02-3.616910e-01-1.179682e-01...-1.518855e-01-1.414214e-01-1.179682e-01-5.431254e-02-7.692308e-02-1.710654e-01-5.431254e-02-9.435082e-02-7.692308e-02-7.692308e-02
50%-4.432422e-02-8.891084e-02-1.552301e-01-9.435082e-02-2.693607e-01-1.091089e-01-9.950372e-02-5.431254e-02-3.616910e-01-1.179682e-01...-1.518855e-01-1.414214e-01-1.179682e-01-5.431254e-02-7.692308e-02-1.710654e-01-5.431254e-02-9.435082e-02-7.692308e-02-7.692308e-02
75%-4.432422e-02-8.891084e-02-1.552301e-01-9.435082e-02-2.693607e-01-1.091089e-01-9.950372e-02-5.431254e-02-3.616910e-01-1.179682e-01...-1.518855e-01-1.414214e-01-1.179682e-01-5.431254e-02-7.692308e-02-1.710654e-01-5.431254e-02-9.435082e-02-7.692308e-02-7.692308e-02
max2.256103e+011.124722e+016.442049e+001.059874e+013.712494e+009.165151e+001.004988e+011.841195e+012.764791e+008.476859e+00...6.583907e+007.071068e+008.476859e+001.841195e+011.300000e+015.845718e+001.841195e+011.059874e+011.300000e+011.300000e+01
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" + ], + "text/plain": [ + " 3dFd0RwsY4 Acting Action / Movement Programming \\\n", + "count 1.020000e+03 1.020000e+03 1.020000e+03 \n", + "mean -1.745880e-16 2.751067e-17 2.911614e-17 \n", + "std 1.000491e+00 1.000491e+00 1.000491e+00 \n", + "min -4.432422e-02 -8.891084e-02 -1.552301e-01 \n", + "25% -4.432422e-02 -8.891084e-02 -1.552301e-01 \n", + "50% -4.432422e-02 -8.891084e-02 -1.552301e-01 \n", + "75% -4.432422e-02 -8.891084e-02 -1.552301e-01 \n", + "max 2.256103e+01 1.124722e+01 6.442049e+00 \n", + "\n", + " Action Drafting Action Point Allowance System Action Queue \\\n", + "count 1.020000e+03 1.020000e+03 1.020000e+03 \n", + "mean 5.642273e-16 -6.617800e-17 4.112179e-16 \n", + "std 1.000491e+00 1.000491e+00 1.000491e+00 \n", + "min -9.435082e-02 -2.693607e-01 -1.091089e-01 \n", + "25% -9.435082e-02 -2.693607e-01 -1.091089e-01 \n", + "50% -9.435082e-02 -2.693607e-01 -1.091089e-01 \n", + "75% -9.435082e-02 -2.693607e-01 -1.091089e-01 \n", + "max 1.059874e+01 3.712494e+00 9.165151e+00 \n", + "\n", + " Action Selection Alliances Area Control Area Enclosure ... \\\n", + "count 1.020000e+03 1.020000e+03 1.020000e+03 1.020000e+03 ... \n", + "mean 1.910509e-16 4.492185e-16 -7.073862e-16 4.628650e-17 ... \n", + "std 1.000491e+00 1.000491e+00 1.000491e+00 1.000491e+00 ... \n", + "min -9.950372e-02 -5.431254e-02 -3.616910e-01 -1.179682e-01 ... \n", + "25% -9.950372e-02 -5.431254e-02 -3.616910e-01 -1.179682e-01 ... \n", + "50% -9.950372e-02 -5.431254e-02 -3.616910e-01 -1.179682e-01 ... \n", + "75% -9.950372e-02 -5.431254e-02 -3.616910e-01 -1.179682e-01 ... \n", + "max 1.004988e+01 1.841195e+01 2.764791e+00 8.476859e+00 ... \n", + "\n", + " Trains Transportation Travel Trivia \\\n", + "count 1.020000e+03 1.020000e+03 1.020000e+03 1.020000e+03 \n", + "mean 1.220157e-16 1.750234e-16 -1.182877e-16 -1.132945e-16 \n", + "std 1.000491e+00 1.000491e+00 1.000491e+00 1.000491e+00 \n", + "min -1.518855e-01 -1.414214e-01 -1.179682e-01 -5.431254e-02 \n", + "25% -1.518855e-01 -1.414214e-01 -1.179682e-01 -5.431254e-02 \n", + "50% -1.518855e-01 -1.414214e-01 -1.179682e-01 -5.431254e-02 \n", + "75% -1.518855e-01 -1.414214e-01 -1.179682e-01 -5.431254e-02 \n", + "max 6.583907e+00 7.071068e+00 8.476859e+00 1.841195e+01 \n", + "\n", + " Video Game Theme Wargame Werewolves Word Game \\\n", + "count 1.020000e+03 1.020000e+03 1.020000e+03 1.020000e+03 \n", + "mean 1.737989e-16 4.293407e-16 -1.394173e-16 -1.134713e-17 \n", + "std 1.000491e+00 1.000491e+00 1.000491e+00 1.000491e+00 \n", + "min -7.692308e-02 -1.710654e-01 -5.431254e-02 -9.435082e-02 \n", + "25% -7.692308e-02 -1.710654e-01 -5.431254e-02 -9.435082e-02 \n", + "50% -7.692308e-02 -1.710654e-01 -5.431254e-02 -9.435082e-02 \n", + "75% -7.692308e-02 -1.710654e-01 -5.431254e-02 -9.435082e-02 \n", + "max 1.300000e+01 5.845718e+00 1.841195e+01 1.059874e+01 \n", + "\n", + " World War II Zombies \n", + "count 1.020000e+03 1.020000e+03 \n", + "mean 4.710284e-17 1.777173e-16 \n", + "std 1.000491e+00 1.000491e+00 \n", + "min -7.692308e-02 -7.692308e-02 \n", + "25% -7.692308e-02 -7.692308e-02 \n", + "50% -7.692308e-02 -7.692308e-02 \n", + "75% -7.692308e-02 -7.692308e-02 \n", + "max 1.300000e+01 1.300000e+01 \n", + "\n", + "[8 rows x 213 columns]" + ] + }, + "execution_count": 1082, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Full_scaled_df.describe()" + ] + }, + { + "cell_type": "markdown", + "id": "df59e216", + "metadata": {}, + "source": [ + "#### Change nº of clusters" + ] + }, + { + "cell_type": "code", + "execution_count": 1165, + "id": "a9b1cc9e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "KMeans(n_clusters=6, random_state=1234)" + ] + }, + "execution_count": 1165, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "kmeans = KMeans(n_clusters=6, random_state=1234)\n", + "kmeans.fit(Full_scaled_df)" + ] + }, + { + "cell_type": "code", + "execution_count": 1166, + "id": "672c5bf2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 112\n", + "1 677\n", + "2 6\n", + "3 174\n", + "4 45\n", + "5 6\n", + "dtype: int64" + ] + }, + "execution_count": 1166, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "clusters = kmeans.predict(Full_scaled_df)\n", + "#clusters\n", + "pd.set_option(\"display.max_rows\", None)\n", + "pd.Series(clusters).value_counts().sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 1094, + "id": "227cf0a9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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3dFd0RwsY4ActingAction / Movement ProgrammingAction DraftingAction Point Allowance SystemAction QueueAction SelectionAlliancesArea ControlArea Enclosure...TransportationTravelTriviaVideo Game ThemeWargameWerewolvesWord GameWorld War IIZombiescluster
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" + ], + "text/plain": [ + " 3dFd0RwsY4 Acting Action / Movement Programming Action Drafting \\\n", + "0 0 0 1 0 \n", + "1 0 0 0 0 \n", + "2 0 0 0 0 \n", + "3 0 0 0 0 \n", + "4 0 0 0 0 \n", + "\n", + " Action Point Allowance System Action Queue Action Selection Alliances \\\n", + "0 0 1 0 0 \n", + "1 0 0 1 0 \n", + "2 0 0 0 0 \n", + "3 0 0 0 0 \n", + "4 0 0 0 0 \n", + "\n", + " Area Control Area Enclosure ... Transportation Travel Trivia \\\n", + "0 1 0 ... 0 0 0 \n", + "1 1 0 ... 0 0 0 \n", + "2 0 0 ... 0 0 0 \n", + "3 0 0 ... 0 0 0 \n", + "4 1 0 ... 0 0 0 \n", + "\n", + " Video Game Theme Wargame Werewolves Word Game World War II Zombies \\\n", + "0 0 0 0 0 0 0 \n", + "1 0 0 0 0 0 0 \n", + "2 0 0 0 0 0 0 \n", + "3 0 0 0 0 0 0 \n", + "4 0 0 0 0 0 0 \n", + "\n", + " cluster \n", + "0 4 \n", + "1 3 \n", + "2 3 \n", + "3 0 \n", + "4 3 \n", + "\n", + "[5 rows x 214 columns]" + ] + }, + "execution_count": 1094, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Assigning clusters to original DF\n", + "\n", + "final_copy_test[\"cluster\"] = clusters\n", + "final_copy_test.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 1096, + "id": "2dc00ee8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " 3dFd0RwsY4 Acting Action / Movement Programming Action Drafting \\\n", + "392 0 0 0 0 \n", + "\n", + " Action Point Allowance System Action Queue Action Selection Alliances \\\n", + "392 0 0 0 0 \n", + "\n", + " Area Control Area Enclosure ... Transportation Travel Trivia \\\n", + "392 1 0 ... 0 0 0 \n", + "\n", + " Video Game Theme Wargame Werewolves Word Game World War II Zombies \\\n", + "392 0 0 0 0 0 0 \n", + "\n", + " cluster \n", + "392 1 \n", + "\n", + "[1 rows x 214 columns]" + ] + }, + "execution_count": 1096, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "final_copy_test[final_copy_test['cluster'] == 1].sample()" + ] + }, + { + "cell_type": "code", + "execution_count": 1097, + "id": "ba500db1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "index 392\n", + "BG_ID 4GgBEAN7tZ\n", + "BG_Name Lords of Vegas\n", + "BG_url https://www.boardgameatlas.com/game/4GgBEAN7tZ/\n", + "BG_image_url https://s3-us-west-1.amazonaws.com/5cc.images/...\n", + "BG_price 0.00\n", + "BG_msrp 45.00\n", + "BG_min_players 2.0\n", + "BG_max_players 4.0\n", + "BG_mechanics [{'id': 'Area Control', 'url': 'https://www.bo...\n", + "BG_categories [{'id': 'City Building'}, {'id': 'Dice'}, {'id...\n", + "BG_avg_learning 0.0\n", + "BG_avg_strategy 0.0\n", + "BG_avg_rating 3.690722\n", + "Name: 392, dtype: object" + ] + }, + "execution_count": 1097, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_fullBG_ML.iloc[392]" + ] + }, + { + "cell_type": "code", + "execution_count": 1098, + "id": "d670a7a2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "207237.57466252343" + ] + }, + "execution_count": 1098, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "kmeans.inertia_" + ] + }, + { + "cell_type": "code", + "execution_count": 1235, + "id": "73b810e4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training a K-Means model with 2 neighbours! \n", + "Training a K-Means model with 3 neighbours! \n", + "Training a K-Means model with 4 neighbours! \n", + "Training a K-Means model with 5 neighbours! \n", + "Training a K-Means model with 6 neighbours! \n", + "Training a K-Means model with 7 neighbours! \n", + "Training a K-Means model with 8 neighbours! \n", + "Training a K-Means model with 9 neighbours! \n", + "Training a K-Means model with 10 neighbours! \n", + "Training a K-Means model with 11 neighbours! \n", + "Training a K-Means model with 12 neighbours! \n", + "Training a K-Means model with 13 neighbours! \n", + "Training a K-Means model with 14 neighbours! \n", + "Training a K-Means model with 15 neighbours! \n", + "Training a K-Means model with 16 neighbours! \n", + "Training a K-Means model with 17 neighbours! \n", + "Training a K-Means model with 18 neighbours! \n", + "Training a K-Means model with 19 neighbours! \n", + "Training a K-Means model with 20 neighbours! \n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Elbow Method showing the optimal k')" + ] + }, + "execution_count": 1235, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "K = range(2, 21)\n", + "inertia = []\n", + "\n", + "for k in K:\n", + " print(f\"Training a K-Means model with {k} neighbours! \")\n", + " #print()\n", + " kmeans = KMeans(n_clusters=k,\n", + " random_state=1234)\n", + " kmeans.fit(Full_scaled_df)\n", + " inertia.append(kmeans.inertia_)\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "\n", + "\n", + "\n", + "plt.figure(figsize=(16,8))\n", + "plt.plot(K, inertia, 'bx-')\n", + "plt.xlabel('k')\n", + "plt.ylabel('inertia')\n", + "plt.xticks(np.arange(min(K), max(K)+1, 1.0))\n", + "plt.title('Elbow Method showing the optimal k')" + ] + }, + { + "cell_type": "code", + "execution_count": 1117, + "id": "188ce91c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Elbow Method showing the optimal k')" + ] + }, + "execution_count": 1117, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(80,8))\n", + "plt.plot(K, inertia, 'bx-')\n", + "plt.xlabel('k')\n", + "plt.ylabel('inertia')\n", + "plt.xticks(np.arange(min(K), max(K)+1, 1.0))\n", + "plt.title('Elbow Method showing the optimal k')" + ] + }, + { + "cell_type": "code", + "execution_count": 1101, + "id": "e7b48ffc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Silhouette Method showing the optimal k')" + ] + }, + "execution_count": 1101, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "K = range(2, 40)\n", + "silhouette = []\n", + "\n", + "for k in K:\n", + " \n", + " kmeans = KMeans(n_clusters=k,\n", + " random_state=1234)\n", + " kmeans.fit(Full_scaled_df)\n", + " #filename = \"/content/drive/MyDrive/kmeans_\" + str(k) + \".pickle\" \n", + " #with open(filename, \"wb\") as f:\n", + " #pickle.dump(kmeans,f)\n", + " silhouette.append(silhouette_score(Full_scaled_df, kmeans.predict(Full_scaled_df)))\n", + "\n", + "\n", + "plt.figure(figsize=(16,8))\n", + "plt.plot(K, silhouette, 'bx-')\n", + "plt.xlabel('k')\n", + "plt.ylabel('silhouette score')\n", + "plt.xticks(np.arange(min(K), max(K)+1, 1.0))\n", + "plt.title('Silhouette Method showing the optimal k')" + ] + }, + { + "cell_type": "code", + "execution_count": 1130, + "id": "7dda9007", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn import metrics\n", + "from scipy.spatial.distance import cdist" + ] + }, + { + "cell_type": "code", + "execution_count": 1136, + "id": "264e826b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training a K-Means model with 2 neighbours! \n", + "Training a K-Means model with 3 neighbours! \n", + "Training a K-Means model with 4 neighbours! \n", + "Training a K-Means model with 5 neighbours! \n", + "Training a K-Means model with 6 neighbours! \n", + "Training a K-Means model with 7 neighbours! \n", + "Training a K-Means model with 8 neighbours! \n", + "Training a K-Means model with 9 neighbours! \n", + "Training a K-Means model with 10 neighbours! \n", + "Training a K-Means model with 11 neighbours! \n", + "Training a K-Means model with 12 neighbours! \n", + "Training a K-Means model with 13 neighbours! \n", + "Training a K-Means model with 14 neighbours! \n", + "Training a K-Means model with 15 neighbours! \n", + "Training a K-Means model with 16 neighbours! \n", + "Training a K-Means model with 17 neighbours! \n", + "Training a K-Means model with 18 neighbours! \n", + "Training a K-Means model with 19 neighbours! \n", + "Training a K-Means model with 20 neighbours! \n", + "Training a K-Means model with 21 neighbours! \n", + "Training a K-Means model with 22 neighbours! \n", + "Training a K-Means model with 23 neighbours! \n", + "Training a K-Means model with 24 neighbours! \n", + "Training a K-Means model with 25 neighbours! \n", + "Training a K-Means model with 26 neighbours! \n", + "Training a K-Means model with 27 neighbours! \n", + "Training a K-Means model with 28 neighbours! \n", + "Training a K-Means model with 29 neighbours! \n", + "Training a K-Means model with 30 neighbours! \n", + "Training a K-Means model with 31 neighbours! \n", + "Training a K-Means model with 32 neighbours! \n", + "Training a K-Means model with 33 neighbours! \n", + "Training a K-Means model with 34 neighbours! \n", + "Training a K-Means model with 35 neighbours! \n", + "Training a K-Means model with 36 neighbours! \n", + "Training a K-Means model with 37 neighbours! \n", + "Training a K-Means model with 38 neighbours! \n", + "Training a K-Means model with 39 neighbours! \n", + "Training a K-Means model with 40 neighbours! \n", + "Training a K-Means model with 41 neighbours! \n", + "Training a K-Means model with 42 neighbours! \n", + "Training a K-Means model with 43 neighbours! \n", + "Training a K-Means model with 44 neighbours! \n", + "Training a K-Means model with 45 neighbours! \n", + "Training a K-Means model with 46 neighbours! \n", + "Training a K-Means model with 47 neighbours! \n", + "Training a K-Means model with 48 neighbours! \n", + "Training a K-Means model with 49 neighbours! \n", + "Training a K-Means model with 50 neighbours! \n", + "Training a K-Means model with 51 neighbours! \n", + "Training a K-Means model with 52 neighbours! \n", + "Training a K-Means model with 53 neighbours! \n", + "Training a K-Means model with 54 neighbours! \n", + "Training a K-Means model with 55 neighbours! \n", + "Training a K-Means model with 56 neighbours! \n", + "Training a K-Means model with 57 neighbours! \n", + "Training a K-Means model with 58 neighbours! \n", + "Training a K-Means model with 59 neighbours! \n", + "Training a K-Means model with 60 neighbours! \n", + "Training a K-Means model with 61 neighbours! \n", + "Training a K-Means model with 62 neighbours! \n", + "Training a K-Means model with 63 neighbours! \n", + "Training a K-Means model with 64 neighbours! \n", + "Training a K-Means model with 65 neighbours! \n", + "Training a K-Means model with 66 neighbours! \n", + "Training a K-Means model with 67 neighbours! \n", + "Training a K-Means model with 68 neighbours! \n", + "Training a K-Means model with 69 neighbours! \n", + "Training a K-Means model with 70 neighbours! \n", + "Training a K-Means model with 71 neighbours! \n", + "Training a K-Means model with 72 neighbours! \n", + "Training a K-Means model with 73 neighbours! \n", + "Training a K-Means model with 74 neighbours! \n", + "Training a K-Means model with 75 neighbours! \n", + "Training a K-Means model with 76 neighbours! \n", + "Training a K-Means model with 77 neighbours! \n", + "Training a K-Means model with 78 neighbours! \n", + "Training a K-Means model with 79 neighbours! \n", + "Training a K-Means model with 80 neighbours! \n", + "Training a K-Means model with 81 neighbours! \n", + "Training a K-Means model with 82 neighbours! \n", + "Training a K-Means model with 83 neighbours! \n", + "Training a K-Means model with 84 neighbours! \n", + "Training a K-Means model with 85 neighbours! \n", + "Training a K-Means model with 86 neighbours! \n", + "Training a K-Means model with 87 neighbours! \n", + "Training a K-Means model with 88 neighbours! \n", + "Training a K-Means model with 89 neighbours! \n", + "Training a K-Means model with 90 neighbours! \n", + "Training a K-Means model with 91 neighbours! \n", + "Training a K-Means model with 92 neighbours! \n", + "Training a K-Means model with 93 neighbours! \n", + "Training a K-Means model with 94 neighbours! \n", + "Training a K-Means model with 95 neighbours! \n", + "Training a K-Means model with 96 neighbours! \n", + "Training a K-Means model with 97 neighbours! \n", + "Training a K-Means model with 98 neighbours! \n", + "Training a K-Means model with 99 neighbours! \n" + ] + } + ], + "source": [ + "distortions = []\n", + "inertias = []\n", + "mapping1 = {}\n", + "mapping2 = {}\n", + "K = range(2, 100)\n", + " \n", + "for k in K:\n", + " # Building and fitting the model\n", + " \n", + " #print(f\"Training a K-Means model with {k} neighbours! \")\n", + " #print()\n", + " kmeans = KMeans(n_clusters=k,\n", + " random_state=1234)\n", + " kmeans.fit(Full_scaled_df)\n", + " inertia.append(kmeans.inertia_)\n", + " \n", + " distortions.append(sum(np.min(cdist(Full_scaled_df, kmeans.cluster_centers_,\n", + " 'euclidean'), axis=1)) / Full_scaled_df.shape[0])\n", + " inertias.append(kmeans.inertia_)\n", + " \n", + " mapping1[k] = sum(np.min(cdist(Full_scaled_df, kmeans.cluster_centers_,\n", + " 'euclidean'), axis=1)) / Full_scaled_df.shape[0]\n", + " mapping2[k] = kmeans.inertia_" + ] + }, + { + "cell_type": "code", + "execution_count": 1141, + "id": "d7257a54", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Elbow Method showing the optimal k')" + ] + }, + "execution_count": 1141, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(36,8))\n", + "plt.plot(K, distortions, 'bx-')\n", + "plt.xlabel('k')\n", + "plt.ylabel('distortions')\n", + "plt.xticks(np.arange(min(K), max(K)+1, 1.0))\n", + "plt.title('Elbow Method showing the optimal k')" + ] + }, + { + "cell_type": "code", + "execution_count": 1142, + "id": "2c39431e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2 : 12.632165017317973\n", + "3 : 12.59951556507265\n", + "4 : 12.479633466191572\n", + "5 : 12.427664084336735\n", + "6 : 12.407617311764673\n", + "7 : 12.440731260643544\n", + "8 : 12.370685926112738\n", + "9 : 12.294889082966677\n", + "10 : 12.226000325561719\n", + "11 : 12.26352900149042\n", + "12 : 12.201584998708809\n", + "13 : 12.144936103537386\n", + "14 : 12.118479438098454\n", + "15 : 12.133739633465028\n", + "16 : 12.030799847187899\n", + "17 : 12.013336752076112\n", + "18 : 11.95668194609064\n", + "19 : 11.891624919160964\n", + "20 : 11.873191361266514\n", + "21 : 11.826396231708086\n", + "22 : 11.789565276809821\n", + "23 : 11.766416926415431\n", + "24 : 11.626680002792199\n", + "25 : 11.681223129797942\n", + "26 : 11.629580552608079\n", + "27 : 11.60272824331495\n", + "28 : 11.581184905470888\n", + "29 : 11.519278814394953\n", + "30 : 11.526994162419234\n", + "31 : 11.467489998647597\n", + "32 : 11.39442132637621\n", + "33 : 11.413529572960881\n", + "34 : 11.402328155815674\n", + "35 : 11.302547927113244\n", + "36 : 11.374238571543867\n", + "37 : 11.27112186112752\n", + "38 : 11.162654155668676\n", + "39 : 11.112953485116655\n", + "40 : 11.177981824719511\n", + "41 : 11.159332942288565\n", + "42 : 11.147144226053\n", + "43 : 11.03332176236518\n", + "44 : 10.953797115656538\n", + "45 : 10.936785670175327\n", + "46 : 10.99021469689185\n", + "47 : 10.92462897150016\n", + "48 : 10.900318150368564\n", + "49 : 10.815826901101214\n", + "50 : 10.78577685683658\n", + "51 : 10.724719362829\n", + "52 : 10.771780797347258\n", + "53 : 10.66984995428771\n", + "54 : 10.667211193080817\n", + "55 : 10.606300146604328\n", + "56 : 10.540586090160904\n", + "57 : 10.49298239394676\n", + "58 : 10.469428959970042\n", + "59 : 10.378141276453247\n", + "60 : 10.401021949090445\n", + "61 : 10.437271458980875\n", + "62 : 10.3333365311857\n", + "63 : 10.366781325786915\n", + "64 : 10.316359515056687\n", + "65 : 10.335792293695365\n", + "66 : 10.179777815857076\n", + "67 : 10.164879865202542\n", + "68 : 10.182053272116974\n", + "69 : 10.152873812118594\n", + "70 : 10.069941919547938\n", + "71 : 10.071920252821116\n", + "72 : 9.983392884357087\n", + "73 : 10.005951147929405\n", + "74 : 9.953663869522428\n", + "75 : 9.905738177055275\n", + "76 : 9.896348696282136\n", + "77 : 9.82773538742572\n", + "78 : 9.778717232003684\n", + "79 : 9.821421969706007\n", + "80 : 9.827891440678133\n", + "81 : 9.774287425593663\n", + "82 : 9.742887049879236\n", + "83 : 9.698097892847953\n", + "84 : 9.68373773662015\n", + "85 : 9.652729775280445\n", + "86 : 9.564961687606836\n", + "87 : 9.534447576346373\n", + "88 : 9.521255363233575\n", + "89 : 9.525611885395517\n", + "90 : 9.449321299318301\n", + "91 : 9.44915200241722\n", + "92 : 9.424333075610285\n", + "93 : 9.392082606135352\n", + "94 : 9.36484452856151\n", + "95 : 9.31969954828114\n", + "96 : 9.2727131083952\n", + "97 : 9.26329902861232\n", + "98 : 9.280599168093206\n", + "99 : 9.2144916729311\n" + ] + } + ], + "source": [ + "print(\"Distortion: It is calculated as the average of the squared distances from the cluster centers of the respective clusters. Typically, the Euclidean distance metric is used.\")\n", + "\n", + "for key, val in mapping1.items(): # DISTORTION\n", + " print(f'{key} : {val}')" + ] + }, + { + "cell_type": "code", + "execution_count": 1160, + "id": "913ef241", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2 : 214628.98087002736\n", + "3 : 212430.05031646966\n", + "4 : 210248.03514668703\n", + "5 : 208284.32338114703\n", + "6 : 207237.57466252343\n", + "7 : 206201.3601546028\n", + "8 : 204047.5995855994\n", + "9 : 202183.65396601916\n", + "10 : 200645.6514993187\n", + "11 : 200440.78075753144\n", + "12 : 198035.46062304647\n", + "13 : 196673.1493606152\n", + "14 : 195533.27520809285\n", + "15 : 194746.60412924673\n", + "16 : 192301.01266068174\n", + "17 : 191900.40889240144\n", + "18 : 189206.72659762777\n", + "19 : 188542.5145705554\n", + "20 : 186323.04652990098\n", + "21 : 186789.79252220126\n", + "22 : 185736.3162152966\n", + "23 : 183151.81370436406\n", + "24 : 182088.04757791062\n", + "25 : 181792.0871894354\n", + "26 : 179456.44531649607\n", + "27 : 178393.9234218166\n", + "28 : 177514.07743918308\n", + "29 : 175604.77241507286\n", + "30 : 176158.44062382565\n", + "31 : 174330.21213901468\n", + "32 : 173299.90289109\n", + "33 : 172361.40276518968\n", + "34 : 169948.34001700513\n", + "35 : 169230.7257735663\n", + "36 : 167835.8049359317\n", + "37 : 167628.27031746108\n", + "38 : 166207.65671416957\n", + "39 : 162770.81884452258\n", + "40 : 163404.2119317442\n", + "41 : 163031.63235188293\n", + "42 : 161785.23836091874\n", + "43 : 160502.98769456375\n", + "44 : 157587.31929634046\n", + "45 : 156800.61735729373\n", + "46 : 157335.81133633794\n", + "47 : 156920.73847220905\n", + "48 : 154474.94527494087\n", + "49 : 153224.38592001863\n", + "50 : 151980.6259921086\n", + "51 : 152050.0530362444\n", + "52 : 149088.90074389582\n", + "53 : 148165.8295436973\n", + "54 : 148480.6162800115\n", + "55 : 146711.71145116814\n", + "56 : 145863.8139582836\n", + "57 : 144542.84313783297\n", + "58 : 144584.2512371476\n", + "59 : 143849.4508167311\n", + "60 : 141235.49468458665\n", + "61 : 141372.62501218208\n", + "62 : 139832.07624101738\n", + "63 : 139533.46056963658\n", + "64 : 138471.58493626426\n", + "65 : 137476.58341103946\n", + "66 : 135757.7269816027\n", + "67 : 135951.26440782397\n", + "68 : 134415.90643440103\n", + "69 : 133948.0213352557\n", + "70 : 132626.27396921243\n", + "71 : 131972.8167933816\n", + "72 : 130807.04443040786\n", + "73 : 130822.34417449472\n", + "74 : 128661.22238815791\n", + "75 : 129347.17256795609\n", + "76 : 126010.32380843109\n", + "77 : 126518.58624728533\n", + "78 : 125779.12846503913\n", + "79 : 125100.45065478135\n", + "80 : 123955.82047777048\n", + "81 : 122704.39154538244\n", + "82 : 122635.37614043322\n", + "83 : 122105.32199029528\n", + "84 : 121592.48440258576\n", + "85 : 120995.93263331165\n", + "86 : 119434.92690245659\n", + "87 : 119665.13076401301\n", + "88 : 117745.04134728161\n", + "89 : 118631.1158609882\n", + "90 : 115946.00328745379\n", + "91 : 115807.00796375533\n", + "92 : 114597.22393308983\n", + "93 : 114958.09460399201\n", + "94 : 113117.2412514047\n", + "95 : 113016.10511018035\n", + "96 : 111626.59154186628\n", + "97 : 110091.54613743072\n", + "98 : 110538.26858075848\n", + "99 : 110617.91267568099\n" + ] + } + ], + "source": [ + "for key, val in mapping2.items():\n", + " print(f'{key} : {val}')" + ] + }, + { + "cell_type": "markdown", + "id": "83e69f5d", + "metadata": {}, + "source": [ + "#### Temporary stored Kmeans2" + ] + }, + { + "cell_type": "code", + "execution_count": 1245, + "id": "507a163c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "KMeans(algorithm='full', init='random', max_iter=2, n_clusters=16, n_init=3,\n", + " random_state=1234, tol=0)\n" + ] + } + ], + "source": [ + "kmeans2 = KMeans(n_clusters=16,\n", + " init=\"random\",\n", + " n_init=3, \n", + " max_iter=2,\n", + " tol=0,\n", + " algorithm=\"full\",\n", + " random_state=1234)\n", + "kmeans2.fit(Full_scaled_df)\n", + "print(kmeans2)" + ] + }, + { + "cell_type": "code", + "execution_count": 1246, + "id": "15fc58f3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 260\n", + "1 4\n", + "2 8\n", + "3 3\n", + "4 11\n", + "5 13\n", + "6 4\n", + "7 81\n", + "8 491\n", + "9 45\n", + "10 2\n", + "11 1\n", + "12 5\n", + "13 4\n", + "14 86\n", + "15 2\n", + "Name: cluster, dtype: int64" + ] + }, + "execution_count": 1246, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_fullBG_ML['cluster'] = kmeans2.predict(Full_scaled_df)\n", + "\n", + "\n", + "\n", + "#df_fullBG_ML[\"cluster\"].iloc[]\n", + "\n", + "pd.set_option(\"display.max_rows\", None)\n", + "pd.set_option(\"display.max_colwidth\", 150)\n", + "#df_fullBG_ML[df_fullBG_ML['cluster'] == 2].sample()\n", + "\n", + "df_fullBG_ML[\"cluster\"].value_counts().sort_index()" + ] + }, + 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indexBG_IDBG_NameBG_urlBG_image_urlBG_priceBG_msrpBG_min_playersBG_max_playersBG_mechanicsBG_categoriesBG_avg_learningBG_avg_strategyBG_avg_ratingcluster
231231LZM8VP9UpTA Game of Thrones: The Board Game Second Editionhttps://www.boardgameatlas.com/game/LZM8VP9UpT/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/159438847886647.9660.003.06.0[{'id': 'Area Control', 'url': 'https://www.boardgameatlas.com/mechanic/05zCZoLvQJ/undefined'}, {'id': 'Area Movement', 'url': 'https://www.boardg...[{'id': 'Fantasy'}, {'id': 'Medieval'}, {'id': 'Negotiation'}, {'id': 'Novel-based'}, {'id': 'Political'}, {'id': 'O0ogzwLUe8'}, {'id': 'ssZjU3HET...4.6666674.3333333.5460271
824824cVOMRdgFbsThe Oracle of Delphihttps://www.boardgameatlas.com/game/cVOMRdgFbs/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559255087049-61rOqcPypqL.jpg59.9559.952.04.0[{'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Engine Building', 'url': 'https://www.boar...[{'id': 'Ancient'}, {'id': 'Racing'}, {'id': 'O0ogzwLUe8'}]0.0000000.0000003.4244441
34134154NFDYrC7yReefhttps://www.boardgameatlas.com/game/54NFDYrC7y/https://www.magicmadhouse.co.uk/images/plan-b-games-reef-second-edition-p360977-363452_medium.jpg27.9939.992.04.0[{'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Pattern Building', 'url': 'https://www....[{'id': 'Abstract'}, {'id': 'O0ogzwLUe8'}]0.0000000.0000003.6017211
1313VNBC6yq1WOThe Castles of Burgundyhttps://www.boardgameatlas.com/game/VNBC6yq1WO/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254202422-51mP2aJfyxL.jpg0.0041.992.04.0[{'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'hUn7uJHrYm', 'url': 'https://www.boardgame...[{'id': 'h8wfZG0j3I'}, {'id': 'Medieval'}, {'id': 'O0ogzwLUe8'}, {'id': 'Territory Building'}]2.5000003.2500004.0205861
\n", + "
" + ], + "text/plain": [ + " index BG_ID BG_Name BG_url BG_image_url BG_price BG_msrp BG_min_players BG_max_players BG_mechanics BG_categories BG_avg_learning BG_avg_strategy BG_avg_rating cluster\n", + "231 231 LZM8VP9UpT A Game of Thrones: The Board Game Second Edition https://www.boardgameatlas.com/game/LZM8VP9UpT/ https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1594388478866 47.96 60.00 3.0 6.0 [{'id': 'Area Control', 'url': 'https://www.boardgameatlas.com/mechanic/05zCZoLvQJ/undefined'}, {'id': 'Area Movement', 'url': 'https://www.boardg... [{'id': 'Fantasy'}, {'id': 'Medieval'}, {'id': 'Negotiation'}, {'id': 'Novel-based'}, {'id': 'Political'}, {'id': 'O0ogzwLUe8'}, {'id': 'ssZjU3HET... 4.666667 4.333333 3.546027 1\n", + "824 824 cVOMRdgFbs The Oracle of Delphi https://www.boardgameatlas.com/game/cVOMRdgFbs/ https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559255087049-61rOqcPypqL.jpg 59.95 59.95 2.0 4.0 [{'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'Engine Building', 'url': 'https://www.boar... [{'id': 'Ancient'}, {'id': 'Racing'}, {'id': 'O0ogzwLUe8'}] 0.000000 0.000000 3.424444 1\n", + "341 341 54NFDYrC7y Reef https://www.boardgameatlas.com/game/54NFDYrC7y/ https://www.magicmadhouse.co.uk/images/plan-b-games-reef-second-edition-p360977-363452_medium.jpg 27.99 39.99 2.0 4.0 [{'id': 'Hand Management', 'url': 'https://www.boardgameatlas.com/mechanic/WPytek5P8l/undefined'}, {'id': 'Pattern Building', 'url': 'https://www.... [{'id': 'Abstract'}, {'id': 'O0ogzwLUe8'}] 0.000000 0.000000 3.601721 1\n", + "13 13 VNBC6yq1WO The Castles of Burgundy https://www.boardgameatlas.com/game/VNBC6yq1WO/ https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254202422-51mP2aJfyxL.jpg 0.00 41.99 2.0 4.0 [{'id': 'Dice Rolling', 'url': 'https://www.boardgameatlas.com/mechanic/R0bGq4cAl4/undefined'}, {'id': 'hUn7uJHrYm', 'url': 'https://www.boardgame... [{'id': 'h8wfZG0j3I'}, {'id': 'Medieval'}, {'id': 'O0ogzwLUe8'}, {'id': 'Territory Building'}] 2.500000 3.250000 4.020586 1" + ] + }, + "execution_count": 1253, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_fullBG_ML[df_fullBG_ML['cluster'] == 1].sample(4)\n", + "\n", + "#df_fullBG_ML[df_fullBG_ML['BG_Name'] == 'Cards Against Humanity']#[\"BG_categories\"] #-> cluster 0" + ] + }, + { + "cell_type": "markdown", + "id": "398b005d", + "metadata": {}, + "source": [ + "## Input" + ] + }, + { + "cell_type": "code", + "execution_count": 1590, + "id": "09fc9cb9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Please enter a boardgame you like:Catan\n" + ] + }, + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 1590, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "user_input = input(\"Please enter a boardgame you like:\")\n", + "\n", + "input_details(user_input)" + ] + }, + { + "cell_type": "markdown", + "id": "f3954e55", + "metadata": {}, + "source": [ + "## FINAL FUNCTION BELOW" + ] + }, + { + "cell_type": "code", + "execution_count": 1853, + "id": "6ea81d9e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Please enter a boardgame you like:CHESS\n", + "Is this the boardgame?\n", + "\n", + "If the image is not enough, please check the following link: https://www.boardgameatlas.com/game/3hnL2wtWnM/\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Please say if it's correct or not (Y/N)Y\n", + "You should try:\n", + " Sushi Go Party! \n", + "\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Boardgame rated = 3.58 / 5\n", + "\n", + "Recommended price from manufacturer = 18.48 €\n", + "\n", + "Minimum recommended players: 2\n", + "\n", + "Maximum recommended players: 8\n", + "\n" + ] + }, + { + "ename": "ConnectionError", + "evalue": "HTTPSConnectionPool(host='api.boardgameatlas.com', port=443): Max retries exceeded with url: /api/search?name=Sushi%20Go%20Party!&client_id=U3E6STzUeQ&limit=0&skip=0&fields=rules_url (Caused by NewConnectionError(': Failed to establish a new connection: [Errno 11001] getaddrinfo failed'))", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mgaierror\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36m_new_conn\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 168\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 169\u001b[1;33m conn = connection.create_connection(\n\u001b[0m\u001b[0;32m 170\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_dns_host\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mport\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mextra_kw\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\util\\connection.py\u001b[0m in \u001b[0;36mcreate_connection\u001b[1;34m(address, timeout, source_address, socket_options)\u001b[0m\n\u001b[0;32m 72\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 73\u001b[1;33m \u001b[1;32mfor\u001b[0m \u001b[0mres\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msocket\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetaddrinfo\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhost\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mport\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfamily\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msocket\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSOCK_STREAM\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 74\u001b[0m \u001b[0maf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msocktype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mproto\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcanonname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msa\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mres\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\socket.py\u001b[0m in \u001b[0;36mgetaddrinfo\u001b[1;34m(host, port, family, type, proto, flags)\u001b[0m\n\u001b[0;32m 917\u001b[0m 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"\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[1;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[0;32m 381\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 382\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_conn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 383\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mSocketTimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mBaseSSLError\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_validate_conn\u001b[1;34m(self, conn)\u001b[0m\n\u001b[0;32m 1009\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"sock\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;31m# AppEngine might not have `.sock`\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1010\u001b[1;33m \u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1011\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36mconnect\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 352\u001b[0m \u001b[1;31m# Add certificate verification\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 353\u001b[1;33m \u001b[0mconn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_new_conn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 354\u001b[0m \u001b[0mhostname\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhost\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36m_new_conn\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 180\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mSocketError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 181\u001b[1;33m raise NewConnectionError(\n\u001b[0m\u001b[0;32m 182\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"Failed to establish a new connection: %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mNewConnectionError\u001b[0m: : Failed to establish a new connection: [Errno 11001] getaddrinfo failed", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mMaxRetryError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m 438\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mchunked\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 439\u001b[1;33m resp = conn.urlopen(\n\u001b[0m\u001b[0;32m 440\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m 754\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 755\u001b[1;33m retries = retries.increment(\n\u001b[0m\u001b[0;32m 756\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merror\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_pool\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_stacktrace\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\util\\retry.py\u001b[0m in \u001b[0;36mincrement\u001b[1;34m(self, method, url, response, error, _pool, _stacktrace)\u001b[0m\n\u001b[0;32m 573\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mnew_retry\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mis_exhausted\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 574\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mMaxRetryError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_pool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merror\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mResponseError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcause\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 575\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mMaxRetryError\u001b[0m: HTTPSConnectionPool(host='api.boardgameatlas.com', port=443): Max retries exceeded with url: /api/search?name=Sushi%20Go%20Party!&client_id=U3E6STzUeQ&limit=0&skip=0&fields=rules_url (Caused by NewConnectionError(': Failed to establish a new connection: [Errno 11001] getaddrinfo failed'))", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mConnectionError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 34\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 35\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 36\u001b[1;33m \u001b[0mget_recom_details\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mget_recom_id\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0muser_cluster\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32m\u001b[0m in \u001b[0;36mget_recom_details\u001b[1;34m(recom_id)\u001b[0m\n\u001b[0;32m 16\u001b[0m \u001b[0mshow_players\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrecom_id\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 17\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 18\u001b[1;33m \u001b[0mrecom_rules\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrecom_id\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 19\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 20\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[1;31m#img #recom_name\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m\u001b[0m in \u001b[0;36mrecom_rules\u001b[1;34m(recom_id)\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mrecom_rules\u001b[0m \u001b[1;33m=\u001b[0m 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\u001b[1;31m#print(rules_link)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mrules_link\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m\u001b[0m in \u001b[0;36mrules_requester\u001b[1;34m(search_rules)\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 8\u001b[0m ''' \n\u001b[1;32m----> 9\u001b[1;33m \u001b[0mFULLREQ_bgatlas\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0murl\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34mf'https://api.boardgameatlas.com/api/search?name={search_rules}&client_id=U3E6STzUeQ&limit=0&skip=0&fields=rules_url'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 10\u001b[0m \u001b[0mFULLREQ_databg\u001b[0m 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request\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 655\u001b[1;33m \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 656\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 657\u001b[0m \u001b[1;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m 514\u001b[0m \u001b[1;32mraise\u001b[0m \u001b[0mSSLError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m 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/api/search?name=Sushi%20Go%20Party!&client_id=U3E6STzUeQ&limit=0&skip=0&fields=rules_url (Caused by NewConnectionError(': Failed to establish a new connection: [Errno 11001] getaddrinfo failed'))" + ] + } + ], + "source": [ + "#user_input = input('Please enter a boardgame you like:')\n", + "user_input = input(\"Please enter a boardgame you like:\")\n", + "\n", + "def input_details(user_input):\n", + " \n", + " try_1 = BG_requester(user_input,0,0)\n", + " \n", + " input_name = try_1[\"games\"][0][\"name\"]\n", + " \n", + " input_id = try_1[\"games\"][0][\"id\"]\n", + " \n", + " cluster_input = df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == input_id][\"cluster\"]\n", + " \n", + " img_input = show_input_img(input_id)\n", + " \n", + " display(img_input)\n", + " \n", + " check_input = input(\"Please say if it's correct or not (Y/N)\")\n", + " \n", + " if check_input == 'Y':\n", + " pass\n", + " \n", + " else:\n", + " user_input = input(\"Please enter another boardgame you like:\")\n", + " input_details(user_input)\n", + " \n", + " return cluster_input.iloc[0]\n", + "\n", + "user_cluster = input_details(user_input)\n", + "\n", + "\n", + "get_recom_details(get_recom_id(user_cluster))" + ] + }, + { + "cell_type": "code", + "execution_count": 1662, + "id": "dc4f7d54", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Please enter a boardgame you like:catan\n", + "Is this the boardgame?\n", + "\n", + "If the image is not enough, please check the following link: https://www.boardgameatlas.com/game/OIXt3DmJU0/\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Please say if it's correct or not (Y/N)N\n", + "Please enter another boardgame you like:secrethitler\n", + "Is this the boardgame?\n", + "\n", + "If the image is not enough, please check the following link: https://www.boardgameatlas.com/game/OIXt3DmJU0/\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Please say if it's correct or not (Y/N)Y\n", + "eh0GTvESIX\n", + "You should try:\n", + " Jaipur \n", + "\n", + "How does the recommendation look to you?\n", + "\n" + ] + }, + { + "data": { + "image/png": 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1CRtTsXqcIggKBtFCso9g6mfzoq5TTqpWDIbNvAkYHHFuOzdaTn2Ok8tFNepkrsWvE4akKFwnRTMiV6g5dgOAIfKy6cCHoZZryQ+9K5grXwyICmT2dAZggMyADKECJMjCtmTGDpDQg4JlkARkPTs2RSMkJEO0b986Hks7liD8Y4bEYND1DXnM1io0YEOLm2mGrh2UEFzpnNZd14LBZHs2yW11uhkEDFybi8qTpo/sfHA1onFgg0Kz8zwEcya+Lsuub4KPBH3b5U67MAD0DNBpxKHz0PDOLZnOTlWrT4bNe2RtdJj0VhqU4+7mzZsP3bfZzQ6pKD/4vT/IxcZXnv/9e+5/4Oc+/tn3f/C7v/T8pYff8eFLN/deevb2u/8XPzqJa135+A5BLy0XVpVBNLbQgFP1CQVTZTSsJ2yfuPX5l7emHPxSXZTOHIgnLJyepecLTAFSTbGAnjVWmk/vzR2bp+wxOugJejbzwA4zae8h1i6T5L5u9suGVINHQmEGAXPix+JdTKA4oAoymTpkA9LCI1ReKTODIXfc0QiZCFg9EwUFE0lqNYFDEbUBqlkmZfAd5NoadAly40LPXUNmweU+92WYC2pOqaSia1oPVVIQdEA+9eKaJZYiKwqWEUoFT+AdLbMbCgAWFZY1hAK9U3fC+zGqQxox1eQGDtlcAhwhrYIONQb09Z180PG1YwdC+8MPEABNATRmzU0/XKlCAUVtBA6b0Ww7pxtM8yXtpY3ZkQvEsdf2Vt+liKEKg8K4I583Tg2wszibg8lwFGLMxkU1WMoRuradHuwPR9VcZ4NxGdCNi6Fg2+epK7jWnsTNuvHNdmPt/h+ClXdt5Y2vb8HSycFSQacPr7301Y/H1X6v3T9912PVaPCx3/ooO/rMZz916sTJpr1+4lzb51deufzc93z/hzZOu8PZZSvWp1BBWYPBNFPuY451GepG46zTmYXYl9sIn23T5cJlpBEUTlXbmaSpSbT4IDEF1gJSZV2JMbAMIDOro1RCrEl8oKpol90tD7mCyRLOVnBayXzUtqPDlhlKFmfJkzgEtkiWEI1APCKBMkBTlULmSQgp9p2jsiqgoTkPAgkoRq4FIYGoGxXohQNKVuGJW1KTnJG5cOpjyh3VmvwkATnbVMQocw+VmETtayqdqAMn0ov2xbBMqQl2WAKaEoZhbsUgOF+mTsF7zQlTkQ4MwBlyTxbqQewt9QhWFcWYuOz8OvHa+uaTxeqbAU/CIgX7h5bVsYtIjyEIF1vxRVeU4VHLcAbyw+UN45ysReewg7g9bW4O+hv1UMsAPWBvApRhQDrwp2b7fbyd02pMIzQ/8KUeTvfKYh3Nd7lbjBukft522dDKsetlmgcOc1NqV4wrY27F9VOseTJP9Pr+UnHfX95dfd9WOpXLE1O9/cwXvv74kw9cvHBGXLp8cPvKzUt86uLtG5eevfZSyu2pk8tvfcuJzOnmVL7x9Jfe+sQ73vaO98S+irwc2154noQBQt/n+aQJQNcmcw1VF+Xm4X7rq9u9NPPWhsvo6nliMiMw4EiMnX9gxs7QQNRLbzBXiKySTEBzlaQw7UjQS61zICucVNqOZLYMXUBkFwZsITdLrCNKJeMyNhU16KTgrqa21q62nPLM4+EQO+oE1FagH/V7kV0wCJowoEIeiASheVhLDjkoca8anUckQZi7AArqvSGTEVZeCbYRsCrFqCEgzpJCSpzUoyTM0ftQYWZ1FkG7th8U2GsmNGNRH7kgjb3zrozoe+e06PvooFQQYIgJukOr6iVry7ah7YPXVx/E8sR3mhLbonFogT3+cxD+exmiJgRRBsma2Zikgr6Os5SaVASmLKYZEUFQTYgJnXOMEtv+gJsUyxWs6mKwVO1t7ZW+qgLk3tq2HZXFYHW8s7OrIjGlUxvrjjuQDnwnVkwPEurSYfXkQbeio0do8LYubXp/qhfD0aXf+8K/lPo73/ud31N4WBkuX039jetfuXLtZuVmqT1cHa2fPrnyqU//wbXrt+vEdeIqOe4YhZnqpu8iWKtpP3UH0PUq12/sr6yfieC2Je+n5tqsmVd+FgRdtISalCwRMVMg2C3RFBRADHXRWJ2RkBkUNFNSzWxSDFo9CUJgDhiAFSmblSA1xJZSG6z3kDyqk+RQyENwWmIutGeD03J5w+0XLABaBr/h8knfP4h7y6SlJ+AcUzOVXOe8R9fMEsQeuDXsAHrGXMmcCIjEsSEIknpyTmpm8MSAGSAXDlNGGqyqZCKtK/SsxAoekiUrJIU5lslMkwGrMENh4B0rc3aonCwCsPRNmyI4CJaBNTBdWxqX+70e7j9enXinwqJqkv60F/G/y/4MgNAUyQIjGXTj5REuo8x6Owj5wIJUHhEhAmZDMkRQyKhogFBiwrgHqt4tkam4GobrIcfMQz/tZ36J/ZLs795cPr2kANOJBsdCyYbQavIwAhuMNp7cWfvIbFvqlYcmdKrBpXn2LbTXdq6UY/+bH/+1x970plOnVlZXqs3N8TNf/0xZjjjr0PH5zc2vffnL1y9fbZq24NH+7d3YysZwVaYhAiZEkbS7t7XdzmMR/GiwdHEdyvF0Hm/M9ifoJkU1zVFQUSNj4b0zIwMU0qR9kBw0Z4IO2SCgBS9FzsJqlRrkFKl04HxKnIM3r+YSYfZeQ2PutomAT0aaIYulDgeKJaACGkgmM0b9WnoMMrPMjYkbW7X5mzYH7ztDpwfBA2brBPsyy1LKm/1lxpTSLOvU+QQYLXexn4Nm1J4tOojWJ81TB3sICtIQRLIOITuKiC2jMuTCC7AQivEwwKhyBm0i8kAGJuY9ii+SYq7YOQgiAdlPUWXgytneXLt+5MdBobZWpPEKGrfBRAHEjI6d8/tDduxASESLZuLFQzFBIOIAlBPMFVD73O1mt+dcU1ryTk20VVIFj8TAuJgScK5qO5neSpDUbVRc9Qmaalz3bRZKJ+8aSd+qTcO4E5/rwUgoa55pnTsSZ45sKcLKNJzeCo98fff1ZaNT55Yn83ba7e0c7uxs+eXle2OPN27eurV9NcPN6ex238rJ9bW97cnSYDwIK69cvyzoJ3pwYrR+/r57i/FwZzLVvko+7E+n2syDwN3LJw/FynLl89e3t1Lbqd9rsPUkXCCBVyFRb8IGoipAmUC9Q0GMpI7AsVNXiVcAIqacKwxq2FoWEbKWLHmIaOBVRbLGMmthoEZBTBUUkRn2He17F0wBEA2IDBLOwDH7BC54lSp2K4Wv3RJrIDBRiQikOhd4Wb/D0JA69lJ4BYzmlf3AMziLTvvKQ8FEMHVhG1RMGpVGtY2x8WkS4kGXO9AWZAaxcSSmoGqae9AusDIJmFiIBFCaR8sc+mJJ0To1BAipl9w7rzXpcD6RwfBEqzt1XXI1QGBANYxmi7aPY4rFYwfCP2p3mv+Eo5UtDyskaGa5eX02zidZKPUt+0wMamjIpmIMppJTJEJPDtvSdTWIEluSpqzrEBxIj4C+LpZLSCl33W5Zl9g15kwyD3TF0vq+1FCtdOPVmb81Odg78yD10/2mvUWULr9yc7yyNBqu/NZvf3x79/rOFPs8qwerzSyur2xevHj3669d3tnZvzHb5pXi/N13LS2PPvGJjy8V5+89/3ivyaTfWBotD4adoFd3a95V6+vt1sEkwlQwI6YsTFRyASKYhMQATBf7Y09kJaHPBAb9cmyWmv0d15Xe+2y1sqEJ6ZTcjAsYloeABAYamdGLcGQBI/aLzbcCuHSijMQaJFs2UMcJSPDAhbmS5tyRwcDls8vhgpWDOYqax6Ln0gtUirdHOG8bz1AG35ERkAgkWkbLhYMCtfIYCFA2yO5zDsgrQTKNObSipBBUe8bMlEF759jhNtqeSXaYLXVkydQG8eUaZ8lybq5jfu2kO/RwaHmJXKEipoxWpeT6Bku3Sj6n3jwHwAoMDTKA/1Nexv9OO/YgBIBFr37NRcBMM/KVsesjSefJjFU5ZGFLKRA7hbQYcyVNaFliy6QwRRhkP0ZgFknNvHEyguxYFZ2RosNA5sE3GTDAMk+H+7fbbrTxyReeeWB4WI+rV166tLVzbVDhreu7J06tp/z65Ss32zTtooS63p/Ps6VhzbPpwbiuDw9u3rh9Zb+5lbHfXDkjTfvp3/mdtz/8vjfff/e4HrbJlaur0M6ypmp96Rtbh5e9TepwvZvNskvlgENpuVPNvSBmdAqIZgyZQBgAOgMXsVJG51J9cPtNLp1fqy69/uqJavzYhXsuXb7y4vatZjTex+EB06Qe7EddXlpxc2u6JvtOFZIxkycuiDigQ1NOAmZcFI0KMygPxFWKQswyaeqqPlmdGThN85krqjZZH6pJktrYcL8IWnJhKQPgoBqLaW8tI9RlgKyeiBCMMGcSISISDQADhaUOtFUwEwQAMTX14DyedSxqqUAoSvNoYMp1Ky5ZmFr+Znf91+v87LoKWw8C5aAooI5TFtOllRV2jocsfZO1B3AISBD+OHXAsbLjB0L79pjBABTIDCRUzEI9Z69QxmK9H5Y9dVWCOmhK3GkByfKEEK32kz6adiWTxzJNbXK9Hw8cjgqDCAb9PGuMYNxN2sFyjeycQxDtIZFn6+XK5fnKxjtOP/r23/5n/3hWfOXhe9/82m+9eu9d91y4cDJqN48HLsxvXb5SDIrR0lo5HE4bzVl7jZH02uT21nwXSesCl8JqmMHN21cfO/vQd7/lyVOjlThPEnA/H3TjuvPuhZuHn/nmpSsGB8wRmHyVcwQlYjOzTIQeAUBVBTWhGWTWxkkhIgAINlul6f/2+9/3ZNRPR11dW3r0iXs+1+/PzwzuefyR61vzX/nUp1fPr45Onf3Yr3/i7vN3v+Wxzeee+9pged0kHkiRm7n0cVukK7hVnxPE3dQNysnSYNbmMM2k0Q3HKTbnV9fftMJ8cKNcd3PpB84jpOHAYZur6BAdG3EopJehFimJE2Vm7gjBs4FDBdNOG1Ej9gDEPrhQYGy5n4kpES+GkhGEtII8gJwFTJgREQ2mzsdsILGwMeLh7b25UV4b31ZGMVXbAQmkZ2I16ZvoZk01DkU5VAhmAsaAcmc64zhGpMcPhIsjZQpoBmqghIqMxKiG4Kt0yGGbl5s6Btv1k8Q67orlVGSaCbQxWpOYq1KcSs7BKow4ud3wCVevBwySck9WeLAkfVkN5m1Gl5eXA0gP7MHo5lZTX/jwV3bPxubcyl3v/fwzX17bPDtYGSeQWZpDRbemW1wMfLHSx1wrAkCKSlhM92e+HnZAbZ849gMqSl9IoLP3PvD+93y4GPlr1y/d2J6cP3U3LK+9nOLNuX352Zu3p9zVpZAxEYkNEFFTlzoEEerJyMCUwAgYRCVZQANwqmhWaqybefPa1cPgX3nl6beefueNZutzr33uTY8/en6jGjPCIxfuuecUsd776Il7Htw8NcLf36rWz6y8/bGLv39penEAV1968dw9D81j93vfvF77QZ51O8sr//SVV990cvVDZ8/mvYMvvvAiriw/tTGePvdi6A6FCcpBn9UBloXPKfpQogMqsU99cEUBEogK8hyKXtRQFXKWpJZ7QVMj0yNmIAYBzOpUjdibAROBIbEYNkhmBpFcZmb2hDPIypl9XllZecfSSrl35Q/SwedWTvaqUq32ZNjcCo1cMyhDWnYS0WoFZ5hI2BjBcDERcLTKjtMo8vEDIQKYAZqBLaZCzZDQKSNmLvp6/0ZHu4zM21U719nAmICnHfdawaikYe/Fii4jYsoZnITSNaKT/XmVKlbvySJk5JKBu9iHGl1pBnOgjvFUt+corx2sPPEcbHzsdz7nBus3J8/+8sc/emrpbKPdze1bm6c2v/KNS4ppsFQh8c7e3qztp7P5aFCF6MgsSm+QkSR7rNdKXvKHafujf/AbXx/cPd9363c9dOLUmcs38u++9OL15A+Ta0fjPcbCZxIR05gMUIBRFUCSR2aQRCqsPgvnPK/DPHAwI8nUpmU/unTl9pk3nXv0Q+/uCKAK865xIRwcHrS7u+tjLqkDcicG+uIXPrHy9qe++cplfeX1B8+sfvJjv3Pxw2+v23a1CNdefRZuXvqLP/5jyuHnn7/S9/Htnv7WfafscOPJebdx98VTw/rWl1/cPH3i8LApU9q+tfvYO5988dWXZqk9IHCV2zrcOX/xwmRnd0duiWADtrKxOVxdVyIAUwAFdEToEIkNEFQlppyTmRHhYvjQwMBgwWlydPIB0dDEADKaZsCWSobziMvD82+bbP8LbH72ZJVBl/c49ry7pqy+omyzVqDTAABAYHZs4PYn2/ED4Rsd8QvKFDTNaMbZVAW4LdONyBMnwEK5RmLTvS6fuOtN5ejUS699ZQSH6+yr2LKkiBrZDBiU+plY75ygR+PKuVyyAPvkS1WcJWmNrBCcbeHa2uO/fRC+ipROb774mS+lMLt15cVw37hcGX71y5+9cH59fzbdnx+unthISa7f2t4/2EF0geuCimaWcs7A4grDKqR531/fSlA99Oi9963ev/HY4+HExS8f5I+9cPlmcgdcynAorowGwSY5RkNCdIsGDyKizAUVRLGnLA5ROIjDBKiIKISCxAdUnHrqbaMV3GmYTL2W737zhzerdbYgS+NQ1z070+wHJToExvd8zw989tN/YMSWxZsGyaHrafv2YPfqibRr1YrrpqPoME9EZ2TNhQ1eHUPbXB+chnbZIuBaVVfj4vbetRnPls+fOJNDtrhR4j1nTx1U5db17dUT6/sae+2cdpmCEbFzBOQBiT3Qgg/SUuo1Z2Ymom/rqzbTBUMcLmivYMHaKIyAApKQwK8dzMcFDcLS1CafWmtvZV7qxtORC34XJGUT8OC9G8IRJd0xx+DxA6GBAMIb2WQzRmS0oIRETg4JDgvDOmkeJc2ZY1HnjfOjD/wFOnf/+JNL21/9JKR0xrGTqSPLZL1k78umm0rrXXJEEtNhjmzCqZ9VhlyC93WyRNJwXqqGZzc2HnzpU58CckM/v9LPRbiRdObCxU9+6vd/4Vc/evbi5tKJza7pxMyFIk3aqgxNH+ckXnlUjPt+zore1bs7DR3SqbPnP/TeH1kd3Ldno8uH+rNPv/ySxqIad77O6MGAhVKfUY2ZEYgdx9w775xS2Ys2nR+7XNXZQuqkbCZBBSBFk74oXo7+v/jklx6rq9s3b9fsz76yW3LIW1vre2mv38ldHNWldu24KutTD90YnfzMlVuXaPhi5pv1yjU3aJc2TtbD9YuPvPXk+eevXO8GB1gOYQ48Wr0d4Od+9RdODVd/6q1PFH35wuGrK6PCKU27bjwY3L72+uX96+O71u69cP7ya5ey51e++WzgYuDcQ4/et9vMnnv5kmNQVGDKamBGiISmqojACMZkzsnR0BKqHrVZqwkiEDnAOwOliAi1WTaKRjKj1oZumvOAH+Xi3Tv7X1EvMUxXSlWbJ0QXymxYh4HpEYeO2tEgzp/asv532rED4dEAGBosWtZwMSDtkR2xo+ihl+wIXC6Vso4P8ur93/s3+LF3gecHv/vH7n3o7a//7kdvv/6NFV96tCwtcWmA3kpoGXtLmFNOZEk0M1FsM2UqxuOcpe3ztFjrywuhuPCBh9IvffRf5ziJXcqdlMWgz3Dl+tbr129ryfc8dP/eQXP1yvV507F3LnDOuawCHPQws6LLoQpl1o4Kv7x55uLjMZfJihvb08++ejW205Ohyk2XSaWujZzPiy4SNABTy1kce5W8Is3o5oHt7K8+eOH1mnvwmcMwKWLODMbQAcLy5tfns2fb5JfWA6AddgBtzKlo5lXui1DA9qzyPvVTtNnaqwcHVnaxuPz7T18uNg6+9ip1s+Xbz5wObIrbl6/vWMyju8uNM6/t+4++MP3UHj61cuLjX7/Bs12SUN9q7r9w74tf/2Yq8lNvfbv7xpfCYfzqzWdD5RPSXQ88vLu93U/j7tbhAXZtyhU7RAIkREEAQrAFX6MiABIAIeq/Exd2NE+jamSAYGSgYkkpatmlvs6jj/jBE93er4/gFinweoiHXd+IG60DsxoAxMWf+p9p8f572XEDoX2rMvjGzQA0GGGyyElzBC2gp9x1maqNi098b/nw+1+7NZ1tv3Rh9cTz35y87UN/eeuTsPfip0clUMYFZSah14h5HrUU1YykCAxqDgpH42bit/cPfGF79elIF+bzs09unkjvmv/yx38h7R1gLq9evvbyK5cGo5X5rL9y7XYHPKzr6axNfXSeU+4dA0xnxVRPh5HOUafSXN8t6mLl5PDE7bT9G1+41Xz9xb24I7EejlerZYUQlsbbgVp2JgqoqkBoSCQiyD4jr8ad0c1X4fpBueLmo9M3QIIfNZgBQVkVHYjPXFMxdH4mxD2BqShqdDA381lTzoNqkJoIJfpQXW33ejdyK+X15ma/fs+t+RXHmBqu9+dJNIWq2Fg92Juc2Tj7mWnz+89tlY8+tTVvvvj5Z546tfrko/cfTve/cunStHJmeeu1F3vU/f09icGncDjf5/Ho5s6+tHrr6WcaJydOnwP2quoIyYAJ0TCrLvCAAIBGBGR3GC3/5NVgZmoKRB0AmDiz0iADZ+As2rTu7XvysKc/WI990OW2zkQu1KPkAPyCDDkDIljxP8vq/fe04wbCN+hpcRGiGBiSM9dDZJiVOTN4LbJK7OcqbvW+6p0fscHa7/+X/+yLX/z0P/rpf/6bP/efv/6F6sf+9g9f3d/hm9dXx9NJmngpXVM0t9sYuvFKSTC2XGfXJ4OqHLoQ2+m8qs4OTv/Irtwz9fcgDXly8I77P3DYVFd/+Z/OZs1rL115/tkXvuv9H37uxWf2Jjs3tg421zEEn5tZCE5yJAzenGk39MX3f/CDG9Xy3nQCDmM3z/O0f/OZOIclGDxqRdzfu5bsdrVRnz5XjX0zLj0XQUFNVFAJlaCMzYoKXvrmycnu45vrX3rl6ROnqml1SoSiLw2VAUDEE5NGAc2CqwfTVZEOdBa4QIts++NRbXVsDapK0GLi9cFmwjQHWHIrTdXuU1HLupjrR5nYR+0PTcrNwY0Z6EoZ65OQGsejAzi8MBqWG6fHJ1ZrsdPA4vGgmZ52F4YJugYOpd0c39fO5isnL+SUM5gLpKFQR2yIjpG8SnaqpEYIqqbESGgEiAaSwBIiGKAhHTFfAKEhAoEuEjWERIgMCgCE6BE9KRoMWpv7YmM2h6I+QAihQlfPJs1KQUOkbIYGfkFhfmypUI8bCOEPRw4GJkAOMGEimQaL6AIVPXAkY+oHZ3TtFCKctvzE6fMUikcunv/cz/7jex4+8/B7f+jav/wZ6ibOA4OjBJNb+6MNJF9DnzwE5RYIhcDRoWA3bc9cunkun3oMi2VpuyCWOn/fxSc3T3xitvuiGb366ms/+iM/+u53vf9XfulfSyGHe4cak+XkIDA7AEpgXPhXb1w9PLf/t/7yX49q89gm67O3iAnVcRdGvHz5uVf/b7/+W7ZaL62tNcBTR0M3pJQ6ETPMmgKk0fRg43DqXnzlr33kB77r4Uf+9v/zH95+/dX6rpXDsALAhEZkAGpiWcCQgXG+dXW0tzuImfrOpWap4Loa+a7gIshQEquz0RKPrgxkrRqen8vrhxMdDFYPu0g+F6QK3hdqwNwpmJDOJhYxGDjn+p74oNfTxEWSWnIOWg6GHhlTHFU+Q5iT1strJVCbujlkqkvLEiVVRdn1PSCpYU+CBmICyG3qQ11nMBUlAjQjxIyYDdEIkYDRgJKqmABhSYV3rCoaewKFDAG9YQ0AWvjsHttt73Lw0hhGAE3mw2K8QTxUFAAH5uF4z/UeQxD+EUM1YOC6HsSYZ9sH2jtDUHIxus3zF73n6Y3Xrz399Kiuyfkn3vr2yW/8+td++pfe/F88Mrp4Qq69OirCXJQR2QVTS3Poegg5ZZcTCrueB4BhcBj7n3/uN9/2kbuX+YRloAjz3Iel4fLyGqAzw5tXb27f3Hrnk+/87d/49e7wAGGgXfTOxZTQcVn4bt6OqzJR+p1Pf/LD3/GB1c2TWvpEkmMy1JJ8N+/GA/zEl56erK3TEw+gP7EB5kJo1eY5JwJPWkEezg7uag72Pvu5v/PWx975wLkpHP7w97//H37sk8OlM5PTzhMpJiEBIoSK0sgLL/HtPCrb29P3hPI9Z0/tzm8kVjtszfUmebq9O+lbpeF+E2w4HCCdublDg30dluO9MAlVVzIDEzM6x+yZuAlheTCMRV2trq5vLq2Ol67ndK+AMczjwXRrqxyP2nKIXJd9Z2TOsHTgRHyW4LA1C8glYw1cowcAK8OMIwqmLhE7M1YyEg3AAGomAAZqamoGBgJKmVABEggSFyxI6BwTF6amORsYeM3o9nUju6fWz97euvIzAXc8mxjMull9wgjIvrXBOb527EFoBgTZTLNhRG2UxSFSQteUyzIcgqdnPvfJZz7x8be84x3dbG/14vnNevn25UvPf+6rFx6+9/DG58c5IzrPQRNIItAAUpAQAoQQLEPfpVx6Nxg+P90OO1cfXbpQ9LoeCg80HCw/eN8jz3352dz2O9tbt2/dPnXm9Ob66auXdqGLlfN9TgagCL3mzNiLECMW3oIrRoOT990DgTttCK3CYvvl29PrB7uT2egtjx3cdz4f4Mo8MtpBacmURH03O1kQ71/rv/Dln7j33v/ge959LW0denr7Y/f8xGu3f/pLn7nwgfftVHc3hDOegRPm4EMuWhnkYrpyUsa3w86tn3zvh2Wpva0d9yMFIOtzOhiur3/6uUv/+F99fG15k27d/Nsf/s7yofL64VY1rWaqrXR9TF3XtX3q+j7Gfm7NdLY/24ODyzmsr6y6N22ulTPBw6Wwc/v2l3/lF6tWZ9nNQrXmKAfCqhxw4RXr5dGj735HFdZ8ynF7/4WXXxuWZXAO6tBXOK5GEDNyMaxqZUJwLEQkjhkYM1FGh4BgIGDJJIGBD0YIoLlrEJGdA0DvnaqpTcmGWXzH9zb4VOE/Df0tPy6y0h3lKUQEVLTjjcPjC8IjZnYwM1MEFaTIQRyhN4O5aVpeLTc3CLm7euXB1dXrV19/7pmvvfWd7x2cXh9cufLyF545+66/OF1dLrt9UhRVX3rP5tll5wnRszcwTy6U5RxMCCbY/ezHf5XrU48u39v3mQnzrH3Hm578xme+8OzXnw7BX7782t3333/yzNm97UsIIlkAEAiAScGUoI/JowpBAs2gUbMBAXqDpKrEHLwTzzk40YSqZK1LqRCjg728vXXelYPJ3t6Xv/DX3vSW/+RD33/94MXy0TNL6+u3vvjS3/yu9x4ezj766U+cfurMQUFQlzNI5qLhrph2utpX1fLFR55/+bnPvfTVzSdOzcdLQ1e1IN6U2mIe4ec//43tC3f3j9wDafbSdOdDD7zTpUFIAy+50mjEaqYGBmSIpArJUq+3tw6+/I3nXvjYL90/fU/xjne+2h2OL5xxwzV/7cYPvO+9t6xD6aapa7roksV59/KLL99//wMnTp2mtv38Z7/8zGc/f3JtrY9dK1HZSNFzGAzG0WBt8+SsaWPfM1lRMAYPoaCyDuwDOwqenAuDylVFWVXDEyvV0qjpouTkqyop9qn32FUEikOTgou7Sn8Rpl8yIeershqyL7MdaXEcczu+ILxjCACCQOg8FgCuT2aEEeDUvQ/8xi/+0oXHbtELr68ddKv33Xf+7DnIHaxUYwqHz9/st9pw5uLslcka+SzJVMAMIBUFEIWcrAzOuxJowqoAeXV18OUXr3zltWfvfe+9B83ca3CNFaQPX7zrm1/5Yt8cvvTqCx/6wY9snD01vLy8s3XduewLp6wL6lpVBUNAFFFVZcegpD1yYNMMiDlnA0usJds54uTFL+tus5W3DvT6pWpvd6xF9/LLf/097/7JD79/9+aV1UfuohPrneZz91zsXtj+j37ww7v/n3/55Rf/YPOu+9VtdDDIJgqd+XSgncI4apnX12+XcHLtxN1n7x700DkoEPLNrRde30vdYLZ54craxsbGiWevX3vL/BDXfeHGPqYitsqsBmaYVbMop+wKQ45nz9QP3fvBr3752d/7zd+UKMP3vHmPh2/94A+/9trPnjl1+sy5qo+tMgO6ERZO6Od+7deUABid42Y+/cD73vvkW960s7+TQcG0nTXj8eonP/EHl6/fePDBB178xtOPPnDviRNrO3tbUbtmNp8cbFsvlDWbimlWEVE1g1F976OPvunJJ60sYozoC2BKMKpgPqD9RkZqqxDu6WVjwI3KjCl82xD9cUfhcQchAggAIJWhNCFLQOrQEyuP6vr6M1/+hf/qZ3+gWrtHqrS8uXHi1I2vfemVG5fe5IfDfZh+8/rw0TOTV55zwMjYmpgmAN+1h8S1Fjab7i8F9CMxU89AfTsalV976ZkPfscH71sb0iQWofjM088++5UvLQ3Lg2l33wN3v/T6S5N+tnHuzI3rr3EZBI2YEaDvIyxi5yPFFFM1BmMFzWZghoBEYiYka3VxauXEizuvfuX2s6/uvljenMeDq6NmxlP633zge7/nu963v7914ZF7+OR4FnMAHq6s5jOp3dr/Oz/+g/+7f/PPb14/qEcfrMqTMwPQqfLhvNwfdkURNVmWmsvoijk0Ic0wD603m4qTKevMcbSAmU8Uw+Usy8PRqF6S3pwYeAdAsKDBJ4AIYJCgb7rJzo2dR972ZDlY+/Rv/B6fO9WW99935uJw4/xLV14599jDS6OTycwyaqM72wcHlKZeBiTjyrXOdORlHAbjEwkyABRRVWzfxXf94Icff/Kp7Xb37NL4O97zzv3DPSxcJGoNvZLLKiKmFmPsui7FtH04++ozz7383PPf92M/5tdW29Rz8FOrfE4DnDLU2Q1aPpPzRjl7IbvUajs+Kof8CeqLx82OIQgJQI+YXtHMkBAUshIZe+MMHFOGGpaKedXe2H8qjB6ZzRi1PXUWwtr1zzwnLzzPS+e2sqfXJnffdz6C71nUIhYlcCniiA3jPEtXmzvICXK3lCpLsrV329PGbH7rC9/49Prj71ryg7EbPvmWd1x6/ZXXfuNlLt03nn/2ldu7B7PptasvFYPSiTEgICdWA6CY0TyAQ+LgPVtGElroN7BT1cxJQy+YYHp4/eUvfvLpz17ZepXbA2rymVvbJ43+5o/91He969039/cuPv5AHg7mit5XLllSXTp/YgKtzeL/4Ue/7//yT351251au3ekS6udOoBhmVX9PPtJFf3SdIlEc9my0Ei8emwpDXKuMot6R46kLw3LPKa0bNklVQNABSABNUBGodYlBSVwVK5vLq/uXrp830PrkxfPfvW3P3ti8+JXl+XSiE8uj4f1cLg8SoAMAWZxunuQUl8zDQ1SjkqAfRqHEs4ttZRC0nzYPf/0s4n0wsP3Ux3O3Xf3N5/+yj3tI8PNJSXwSATohElNTMGgEl0TwJTPZX7g/vt++/c//rlf+rm/8OM/SUV16JnA2EuyLvYZxBXVxXDyqfn+a9UqBTuJFBATqr+Dw+PrD49hJ8EbKiJHQj8ICCApiRH1kBNLr5nKQbffDmbyYLE0LHi/1pNveuTKp7/29L/+lUfrZZdaK3lycMiesWCDDChmxlwC+YUGMJGxgXkPRRF6c0AuMOboMP/uJ35je7JFFc+6Zn1l8z/6D//je+65P/X9Cy883zTTnPuD2zdAFbKQoPRZs5U+QM6x7b33AMh45MINwNAMzMgEBFin3eSZZ7/8e5/6tWtbL2J3WE2mcvva0qz9u3/lJ973nvdsTQ/OPfyAX1rqUJiIFciMzETl7N3npcBz66f/7o/8SHH1xdG155enNyvMJoApRLTIQkCVFUSmnL25UhyCB8CQ1UcEdD1Jzzl6axB78D25xA6dA0fAZpwNs0IWSkYJTERkHvvNs5tG6fG3PTHZ2fnmN5790uuXXp7sgg8UDXKPKULqqc+ukzpDrRSQPDEBVM47IgUTMCYMiCVwFQrn3eLQUFFRUa2c2Fw7eXJjc/PEydMbpzfXzp08cf70iQunT9x1dvXi2ZULZwZro7Iuv/e7P4ixvfbcc2vVgIAKzmQZYehCnRSsWK7X31RUa8Qu+GVwAUDBjk7EcbZjCMI/wQgcs7MFyV7g3nEalvPYjG9NNqPfLorXl4uNB+998RMfj6++uqH+ZM8no0y3Ls9Db7WnnAsG1AjSM3OohzwcumEVBoPxcFxxMAOPnJtu68pVSzHH5uO/+7FW9v0yaIaCq6eeeKosKontzs7Vvb1rQGwqWSXlaCasiqIq0Le9Zit80XadLmrNR+JFgIuMh2GvzQs3npvFXZ9nvLO1NJ2txvQ3/upPvv+73r+7tX3//Q9UdZU1E3LIsQArHHg0VI19eviBxydA9993/m99/3dU3/zM6WsvbswPSsgRTMxH9QlVXe9IEEDQlGAxw5PVMpqyJcodRAmWXEqcMoESKKKYZssGApiAUglYm6sICyJPPplbOnWh3Fg98/A9T7/w7OXXXmsPJwV7BHTCXtAJsCimzBnJXAOWTbIkDZg9IBMAmWE2a/ouqwGSqPZdYmXPQQRNSZVELauZWlTrTFu0zlk/cGFlvH7mBBXuLW996+uXL6c+egDvppZAu2WF0OK8AW7z+RSxbXLf50VzHCAA5j/t9fs/YMcUhIu8KMCRX2TwwRfIaA4jWWLWwWAyn501V8zTVl2982//h9vXr06+8uWHN1erBK6xVaXqsIGJOK6TASCSqUk2kZRSl1Kbc86iWZkckitC8eHv+tDJ9c12MmHSz3zxE5975jO0hLO2nTf96bPnHfvYzLduXp7s3Sy8l5ycYzALRCVSP5lZlMDBO3/y5ClbCPqpviEIhgaEQAZK+TDuzfN+ntxenk9XJvOf+MCHf/C7v+fWzZsPPvqIK4KYiSkAeNXdS69def65fjb3RUnossHd9z3YNwff+5a7/847H6q+/tmNvZuDOEc0sEKxVBJ0HYICkNBREIYAqppN0cAncSIezJN5y5WJZwBGZGIiNFXJJikAe/ScwS+iBnZhuOSWqrP3XjhsprP5LPhA5hCcupCZxYEFTIyJsDdoskhM2nfmILHKQmWCiZCzKDEbEnmvBqSMwGhkRrJgm0LIqmqmAMm0A52aRFDwtLKxemJzo5lO2smhVyOdOUXLpShklxKXs7gC5hEIIQD4oxIhHndPeAz3hIsGo4VOLC20QhEcAJkpM8akiKGoh3u3G7A0A4G77sJT5/7Jf/Z/emhmy6V2LkxYDwlzZ/2eJ15vac+hkAtIGPuu1x5dSFGkxwidQlMmyoHe/a732cZj//I3Ph5VBqdWf/uLvxvW1x/feJKylqPRouUJc2IiRQhVaTk5h46w71prY1UMQOz86XOjMCJiQFoQJ+GR2heamSOX+l5RsnaF5k3gRzdO/aXv+QvTyezCPXeXo0HX90gOJDmkm69faw4OnQ+vvfjqvY8/SsHlrB7cg488ePXZp//ie5+8cn3/1154duPN1WFYaYVQvVgGSgBg5oHA5OiAqko0RbWqgyJhgVgpeBUn2dAbGIMdHkxu37plGTx7QL9UDdc313PuXUkKYOg4uOXVpTJ4TZmMwMCMIvuelBGJdU4iZSFVJYDeOKi5QImtNGRBQ0BAMQAgA+xjNrXgODCjmaGJqRJrzJVzDjFlAYIESkRYoGQtR/V4aVR4304mw82TKTOaqjSmBSH7UBgLoBZF4HIE6Bd0rcffjqkn/HYzA1lMhpo5xMAuoA/qQW0X+91l/9gPfAT9+MTcHmW/onoNZP/x+zd+/CNX1pcPePnQllu31FoZlQCJiDyTJ3JAzhCzMRAW4aCdf+3rz4u4u+6+T5n8uNpJk5/59Z/93Etf1RFffOT+c/fcDQLO0CtITGAqImYqKUrTLdcDAnbI89n82tXrBqQGC7XMxTAIEYOqmTrj5cGyY782Xj5ZrXzoXR8cDNfrpaWljTVRJe9UtHZhtrU7n8uV63sf/71P14PlK69fIUQCwCTgwsaD9x6k5oc//IGzOYYbr48wFRkwAiogGZqX7AS/JZipZtnEgMxYDIF9BkByYAgipNJM5zcv38xT6fbTfLtPrdvfnV994RKJFIQkiVkdwSiUNQdro8XsnDcksMVNQTXFSOiKUDH7YOBFCc0I2DAYA1JWWzSIOu+JXR97QiEysWiQiUBAGXG2c9DtHsqkCVFrwTIpIIpHQ6sHVel9nM9rRpZlAimrg+CTx8qjereF3ItmMABwaIwAx9PTfLsd9++3MAMEREdIiE4BlLxSjOmwyPNS3nv/A89/9esnxJ9OOpfGPXRx8N3v3lrf/I53/q/pxMn6Fo4OXdp6dTq9VaTMHMQIDKtQQqt1PYSBQpvdoPqd3/xkO7o7nDlDvthvd4Vp3h7+yu9/lCt825sef/zNb/7m17+cu8TATAhmSLDo8R+UJQHOY+RMOcqZ0xdVlJDszky3qooIIaWcSldaB1VZL3sauPbh+x/t1Z06tSmmcSFHZaqdHN7eNhz+6sd+5+rlS/c//Mj66Y35dFYNa4rWBqThCVxtV7j8zsce+1fffM7dd/fAMQv6heQuECHqt5yAmZmoCGJP3CKm4HvPCcEYVSEYShuD+V/65V+5dXmrdsO5p7e+9fF3vuWR/e2d1cEmgZgmZ+bMvJr20SH5EAzAZzBDRtAoIRo2qTQvxNr2lDIjAgADmGFGMICUxQVHxIikKkcCjw6zJvQhS9y/sUMHbfDeIx2kNFhbGZ9Y7RAEQM2YqSqK1EVPULoB6UER9iPWAeqA5v2WWpdz71QAGI/meY+5RuhxBuFCEFkNEBQ4sCODICKRIEICyM47d+apf/D3D1bm1/7NP30iO6HY8+z03ed+8Ruvf/Lypbvvvvfpl/7JT/3UB79j5d7Ts6aYvGgcM1vJY9GcudHVwJgp93t1snnPw+obL3/+kaWnLpzduL5NN29vk/FBvv2rn/zVvXgwYYDR2FQoQWUoRGqIvRTkzPOkbfsuFtXogx/5cP+11zV2wCas4JKgogIYQaZCqzTPTsr1cK68Obmr2njg1Nl9biqfNCuyNyDvcG/rBvb7X/vi1786PNM9+dQv/M4L/9nfXGunV0aDh6hCQlNJp06u78xvPf7ohd94+uv7u5Pb52ar0lUCxo5yQkJQQ54SDC0vid5CaggZVJ21JRZeGcEnTKS+87hbzorY5i2a3/0dl06c3prNP//5rwxGw3ct3a2GmYoSfYICuXMqFocWpuIPGE8AAZohoZEm65O15CRI0tyrSuWKAC4DCKBXm1GL3XQsPoXCMHlNyk6PhO/Ysrhe2+39y8+/2kxmQyzuv+suzoIDqlZWVQ1AKbCy5Nx4hlLm6kj8pskgWB5YrrViSeCXoDoFjohasAqAFxnqPzRCcZwKFn8GwlEAWByzRb0bHKgHMWHiM29524N/9cdffv659uVLFeEu+9tu+PyNG+9+33eljC+9euXDH/je7es3mUi6HkQ8s4jMDifz6WHXtbNmltoutS0EB6Iry6Oq8s89/bUXnn7m9Mbpc6fO62SGnCbx8Osvfv35V1/kwsc+S5dRFzIjnKOkLndd7lOSFM9eOLdx8sTLL79UhJByWnTSLBw5OyZ0oloU9dve+o4f+r4ffvLxpy6eugAxjQYlsZkKAjIyKDWzzoR+76vPu7sfsbseeWG3eeGV15t5m7OAA1XNMTnGclhsrI5OjUeu6wGyU2FEcM5gMaaOgNkAEJyZAuhiwBZBHRob8uLsi7FYUfge4ArT55YGv3N+de+Bh/jMvc++/LolzW3HjECmYKJJcybwhqCWmBEXQS8CEAmAECpCiskAgQgQCdmOhH1AQEySJ0fOAYGJsHOABESEaKKotntz66tf/sqN/d3nrrz23/3qL27t7zdNA2pkdjScK4KgjoBMqqpSrAQ9APVN004aR0xcAAYwvDM8cdxb1/5sgJABVVTMkoNIEl0vcV5xdaXKBmrbfa1VU9LrIeBT73/rX/vrWofWJn/j7/8HDz107zkHw9lWe7hVlYHEMCuXnn3I2RA59il2GQUKLua7BzrvvfrZ/vzKK5dPLK/X9bCZbjXd3vbBDXSpHtUoYNFUFwzhZIApq2RBJPK+6/qf//mfn06n3jkmRkAQNAUAUBFASRLHo6VHHnh8c+NkSpGZEKkIJdodFiTmtulNyts3Zy+nol3aSCujw+XB116+hjaYNm0mQ+dCUYL3VIalym+WwUsu2UkWMVBEZQSCNyrUSGB3YlNCNDUifoM7Qk3MJESrpQYYNFK0yd2KMgnlLKF0Cn1EiWatLcoyKoALGiZGpCNaSkRVAyT2Zcpq3iuxLBQyEEyBFkhQUzXkIxH0GKP3fuGgVJWIxLSbNXddvPsv/y//xo/+g793/m1PfP7Zr4MYJvGAqKYpa5KqKDUDAiWFZNwp3t496NpuPChVbT5vUs7Hf6D+DTv23/JIfdyQGJxTAmER12ueVWVBd51CdidXztTrJ1+j9La///fe9n/+P579yz/0yLveMbX5L3/+N371t37+fAW6/Zp3vaFYlsJ7I1XAoqhNqfD1YLxCxg4cR7IGqCOYW7c337t24/zpU77gNN/b3bsxmW1XlauDtyRmZIKgCEqSNSWVbEVRtG370osvdl3P7OyINY7wyCEaMBgtplWti3ODrJDNzIzAmIgXvEY5G5h77plX0sb68NxmHBqdX79yay8exAQqRAgERkpkHsjiEkiQ3oMwsyEJABDeycgcmdrRMCwaECIjHeVsFVKAzpMmKKL3cxo3vHzAmqlRzVlN1TtHuFClBhF5YzrWObY7DXkGgMRJIYspe/WhNcuIxM4M3shRHvEGAKouBpKyc46ITM3ekOJSBbMWbV7iPU89sT09TG0EUV6AMGZV8T6omoB2WcTzC6/ffP6Vy+fOnccF/z85JgdmcCcUOeZ2jEG4INqCozNDzOQcIDjWwNlLs7RSb9x7tge4//3ffe5HfrB9/IHlH/hAeuDkgdPR0uoTjzzys//6v777XPXO+1abvdfM98LigFHAl1wOh84V46WVYjBGQaeMgj/+Qz/xt3/q79x76j6dpMmNra0rrzd7t5aLCrMMPDhOYA1htNSpkhmJgMLR1AyzQ8S+74nIOZdSUhUCREUCQkRyTlT63IFXdf317ddv7l5JEI3ZKAAGMF5otXddF2M8ODwsV3hp2J6+QBeeOJNSD4dd17UAxGIoEEE7zllaF5tR7avCIyLgEZ3SnfNqAGBqKmoARARmTOSJEQCRQBfaE5iBtjhdHcvVtby/0lZ57g/2l+tADIpgyIgMBlky3jEiggXxy53agxiCK5T8pM+zmDKAMRkYHTUgAiHFGJlZVRc1GyZasK3dqaxDTmKGZVHFPrHzhS/6PqouWPstS045l4OaA2YyqgdX9puf/+1PwGAExEk6H4qqqn1RgR4tbjtSXD++EekxTsx8mxGgqIgIATrTQIDdxK+k3e1bzbwvNtZW/+KH3/cjP2Rjt9deD25l9s2b52DwIz/6Q3/vh75j69f/xWgM6FQiLMKvtm1yysRR53mArlgKqWsxw8XN+87df+HsyUdm3b946fXnpts3HNTjYgmnnZYzrWU22fUSHVsWMwUzJCUiCj5kTggJAHLOAOacQ0RTXUyNm6pYJofs3KTdefW1r0xuwpVXvv7uB96jjnqxMSAAG2aEpNaZdXv7W9vz18ONEZ3f3Jldr/e33LxViQTAAoLYAfQOgLKHOB5Xo/GA/RTZMZJbsJYDwBGN64LRDO7US7616NWsyBAcdWIZc1/ETIc11ZtzKHduX7zvQjEgLViBLTMYqoqBASIRMd8JKwFgoT8mhuyQQzRjtWy4kFheuGVREZUYYxiEBd+EqhER07c8Qc45iwzqYQAec9XMk1Mqy5qQDKGN/e7koJNUj4eNaCZUR5f3DneSfvSTn3zXxbc87KDvI8RcLNLMx9nHfJv92QAhAJqiqiGAMwzEMTWDkTt84dqNV16tH32AH77HuyVtDybXX8StEx//v//Czs3D+3/4zFKz77nvB9b1HRdsoNBHJEOAnBUBJaV4OKnGo363f/H5l+56y1333/3gT/7IX/3p//6/fu3afj8/0FiVGeZb23xihSCpdUUoEkAfEzETs0NUIlMQyx4RiRD4ThB0JxxaSJ6CIUMTpy9f3u6Xy3l/YKwZTWjBHnDUNIskroCk7c71Z+dfbq9/Q7truz98UFfeCSmokLEZGGAGTZKATFHn7QxzdIS8YGexN7BhZos8DQEiGRDCYt3jIo409IKDHlbn+dSN3bv2u/LF25Ot6cUhvu3RBzgwhiDAKmygJkDmEI+SKYBvbDxN1US1jfnK7dtbU1jdP1AAds5A0QAWo16iOec6LDiYUDUTIS50uBAQUSSLmWQ7uLGlAN/49OfWl5YG4yEwiUrbtbdub3FZjtbX9vt+kppbe7svX73+yFuegOnOta1bD50XROhjMiBAPrpA2BtXimNqxxCEkhEBvRdDBSGJlAfgo1/pBtT7RM1mJmx9t8Sz+6vZz/znf/8/+X/9k/HJ0z662c7r1z76s5c+Pen1ntXH73/iwoZbmsA9RF30c45zTuTBla7rCQEqmsdGmMo69RQ50Ge/8t9tl8sXH3jy2u3nz62cvH1lJ+Wd/dyg+pHYauOiFlOOvcPW+hBCTl2HWR2XKCzZyFNmh0VC1yOROA8kLikhkQeDnAHJud6uX7+Bbnkjdb477Gk2tpEDyChkBEpmrleZa7+vcmu2q6NirfD7g3xzrKcFWJN6VIMRUN/6A13e5tU5rYR5JDwc9FNGnVewBkrmoK+0ahLNOh13dCKRFhCpV+cplbGnroSlaFmcxrKcrvP7v/Pim7b3IB/ARvnWp56kccHjk0UuQVUCbNe3VpuNjcN7rqyK+LmD1BQpOzdInWGb3AxzujazWy2EwcoDKQ7CMouF4LOBMqDaeJq8Uuec9AqemjgbYcMsmcpMSCoO1Y2LL3/hCzdefT3NmuHm8PEfft+u33dlsK2pu9Vc+uaNwX0Pz0YjmKXtm+31Ydi4Z/NdS+dvX75r+/DzWQ+pnlZLp1w4C1QqHhI6BPqj9YljZscQhH+CGRC7gIgAisQZRTDu3b70poef+Jlf/Je3X7t+6vz52dUb/+L/+g+3P/HRlVvLj77t1MUnL9717uHB7A8GF7neX5nuzZO1kZK6UI5GkrNxduUowAiDxj557/YOt3/5V37xf/WfvvnCubOf/PinFCDFHog8O5Q8n7aWBYwdO2ozAzlAUXCMDgmdTyoxRhJdlFIWmUNEBDM1Y0Am7rJUZXXXmbv5nrViF0aDETGZKthRfoORchdZsSR3YXwir27OIZ8d80mxru0kZXJO0tFWmQwIUFUlS1V4IlDNCIC88E1AR9VqVTM1BAAVUZE7KRsEQ2bOksvBQBy+633vgSQoQkWVDaphPVwdZ0nIljVVWXfbOBVRJhTw4J0yG7BRBjLyWV2vbtKLHk6XJ7OxAXqvi5DUEAgZqM8mwLlwWRU5sPMiSkiIllJEgPMXz5/8Kye1iR5pdGLZLxfrK5v9VoN78vSzr7x8OP3utz/1+v68nMJ+k565ce3CfWdms26wtNTN9bXXXnp45PqUDfhbnvDY258NEAIAqKEpOwISceYCIR2cuOv0U4++6ef/3//NiWif+Dc/ff3XfvNtoxNnVjdvPP35yxf37/rAW6bwTedlvHJqXFKkeU5zcz5pIzGDi7FXDgMXiJ05R0UVnnn66f/2X/3zv/ZTH3nHe95x9Zc+Zgaxy2VZcUnT6URjJiECqqJRioQUkCRnyZDQkmVaCC0AHFG7IyISoJopEBOTiDDTXXddwAsbNz/3aoySsyIiEB7VtMwGRdX0+wW5iziYbHUHuZVJn6QcVZUHVFFDb7aYkROwhJotR88EhI4ImY6kPAzoTpp00RGNd/aFhItwFEEXnABWlsXFu+6aH0wkZY+YkFaWl0Yro5ijcSbGnPqVHD5/cPtgSOKIMnuqiuRJAM2DSdbcZRT0XZ+n0F7f3cIYwQdDQFMEzKCgmCj09eiGwOTm7mGn4ApRQ7PY957JD4ebmyfiMKrjqLms6xOba2ney8144/L2x77wtbUPfMfnp9P5bn8Prd3ssFo55dxw/6Cph0trJzfyTi/ZsuUFUceiffdPcc3+j7RjDMIjMQIEQDTTtCCKp0SmHtyqL5cBcOd7f+C9//v/+L/4mRdfOj3b+d5qdWzVDNLWeP7k9z0qVSx2ikDQ2cwN3fj0aDadNzLTPAvgDS1laVIXpOHRsG3nZ8+fOnuz+8SnfvdzX//Y2ujUYG2oOM6HwKMSUGKcV4O63W8spRGyiZAKOTbVLDGCmCMfHKGaGSIQ0SJdYWZqcJQNQcySX3nl1ZuvPksvX4K73lGEChHA9E76hESkLMp77rln9uqrfjQ+6GeA8a7ldeeDD4UdJY0BYFH9EIQ8KH0i9HVZlGGRbjEDNUW6M5xpZrqQXgFCWuSNAACONGwx5lQPh1VVkSGoYghRU5v7rMkxsZm2rUzk2d2dycYGUOeFABkUaTGqgKwCuhjRsLRcu2EZQvBItIC5ASqYZMtu8Nq837m231651UyTq8bkCgBFE0SHxOunT0qSnhSCIyACyoeTW7f3/tE//W/PfeCdN0v/+t7uuD6V+4rWz5r1OzsHw4gz6E5t1iv9YNHJzc6DGhAuGgePcywKxxqEAHAnbQ2Anr0wJRVBgSIU6+zWc5tevfep9/+Vv/rer/z3v/XWlVNrVB6wPd3vnvjBJ0++796b259az2tO2xxSAi2XS6FSU4eGqgIqjj0kzlHYgBjE4nBlWEziZH5LhCM6WMq0XDVOjJU2RysrJ/DGXnNrv+0jipboNGYgAEZAJGYiAlQmVjURMQC4k5k01ZwlhDCfza4cXm2Gfp1LAJ9SWhTxwMAIxLReGt66dfP9P/C939UrMgqCoRJh3zZYBiAnR6M5iqhoyiiFw9GwKoYDXvCLASISHqVNwABE1cCIjmhX6E5iBgBMDRiJOUlCQCA0AJCYJSmjGDglFOv2+9297gvTw+3T5wc5DpAyWfTIBCBqaGS5kG6zNBxzODFa3S+9A0dHRL5qpmgArlH3jVt7w829U1yTH6kLWa0AKLxXEWaWZEDOBzNUswzIEEgqfPO73vypbz474XT44EMHZFvz5OIEGS7UlbE1mm/u3n5IogvOXEByiyvf4sAec3d43EEIi7ViwM45QDJ1nmhYVktIVR95d0ovfe9/+pGdw2vPfPqVZfM7CmtPPPaRv/UT/fwFL7eU54rOcZGkUzIODtSFYpTnc0Vj9lUY+SI1psz40ssvvPrq0A1PEaCQhHogVZMQsaDR+kpW3dmf+42aVZrZNoM6WpBmahJQh945XSQiGVRVVQFsoaWBgKJqKgAQgq+pvuvJN58cHYIxoQMAMGNAQeg1F0vjzbsvbN++veQH2Paqmpk70rULZ5ZPrPUqiM5AAVQloWUCgxwDI5iYJmZEIsQ7BVZQAJAsiOiddw4VgJAMgIhBTWnhhBGZF7U7BSTLwVNEDOS98Wz7ECf0+ZevfD33cWO5urwzDkXHuaiYGFzOAImtd+3e3UM8d99pXC3T9ev7uS9RFzK9aiBmZDyPdtOS7U2KsLQehkZOFr07RwJqftal2KeqsKIiFyhqlBqLFffDH/nA+W+c/S8/+RktTjSnTlxtrJBm7N1yb+RAV4ZGhiAi1ncdmOGfkVgU/kyA0AwUCCWLRvLkufTjgQ+dWoflfLd/dXhy9Sf/H3//8//i965/8+ojd9/3gb/4F4rxznzvteXqAEMDcVl7XlyMRdUBMhD7oEH7zEwOaCEHi0wuWo+YmD17LsfVysWlQ02ZwA+rgGAI3NGSC+08d7uHTZtcBkUzQu8CMpkogGbJR+HonWaxRVAKiKrKzq0srXn2puCcX/C7mxnQQvsGsunS+tpobbVslcVAQSlrHRRNRJH4KI4EACAFQDRFatqOug6JCBkQwQzhWxX7RXEcPTOhN1BGNSNEACMgUYVF3QIhmZCCLvRXRIpQzncmO7cO+93ZRz//lfDg22BlnV67NAhOKSong5DI1JQke03rQ3dm4DqTg9iWCM4AARTN0DCpSO7F+hDUh535fJCyC6XzAdE05+CLne3dyX5kDBH6gnIosdpcg8KduXi6uXT7g295/MrO7KdfvjoPZ+culMNhVZfDGkcFtaNKepSUzAtCRUiGCy0mgDsRARzdP3Z27ECIRriYW0FjAAIiJAVhbBNOW5+KcliNxoCt+lS42Wqm9uaX/NpbPvQPflBi4IK6w+d2dr9WVvuBGHtCzqkgEGKqCEKOuYsz7r0laKVTmtSU0AUnle/9rDwsRzjYWks+dsPcpIGGrh6WWVpCWl0byFxaa+qzY6g57rX9pLOYhlVhbL20ZFp6T0AAi+THGxs4c8455whx2sabzW5Bvr9yGE8/0ltaARUGUfAZnGFW7UhbssKxOBRGBQ+i3oAUmVlZFBOAVxxmbac57yh3QgMIhsGRwyxgQLJgbEUBNTBH3ASgrKsdzisSNDBTAhcpV0GduaxT7CeMm9H35KO0RdPvvnata7nF+h/9+u88v7Sahyd1R7kHcLnWflmaEvyho4il60d9LhvMTpQSNr1EKgFKNszYCmqh1FnXSN/yUgR3Y3rthMw9F0iGqGhZe5AuXXvx0vMvXV7e2Hjk5JkzRSgl6bnKysHokWq2df1N955YurX7qs6lXIKiaDxvoTaUZ/20mHemZShE4D5wTqlV82yKykD5DvyOY0PpsQPhn2gKws6ZcxZitVpwjcJA7AyzynRQ1pPtL+f5bS24SbedzV09Q21NSXLtuQBQM0MCYhI0RmbPEbqiLLS31HdKbKYVUYGsfYyx77D3Omy7phoUIDqbzsuySJK7Sd/N2oEvq9WxA6+hzE0rpgoS6lo7zCoUeNFY+kdOd+xjSumuuy6+c/Pua93sTFd77wAA0B1drXFBOA4EEJCIvURJYBickEQTNivkSMvYQAkBEEVVcm6b1jUtqBGg2kLhCQAWtY/F70ck8gyE5JAc0kKEM3trHaCmw8tXD0Cmwc138ti5KP08KYX68sH8n/36b7086ey9b4FqdEp4deASAtjQNwOtCBgcYpasoOARCy7qAgIJJCBDJkQmQAM1gyw5ZYkxz2ctAiDqonWGXUDjvmk+/ZVvfO3KXlNeG8Uv/N3v++ATZ4bUe8BsLKUPaysrjhBEC/a39w+vxb3DoCdWyila3e10y33Kap4AyWyh0gvHOykD8GcChAYIIOidsA/LpV+G7BoIJDpAY0+Adjiue5N56hsqpsF5ixHQAVXsKkAw7JFoMVkLiMac2kgVNTEWXBWDqgVgz04UYq+hrwZlMS77QMAmfbYsdVn6EJrJPARXb6x2kwSZMVnXdsO1sUnu+gbLkGMsmZnYwGSxF7zzG1TFh9AhXr9+/WqyHUh089Df/xZESjFX38ZFgYYFutR1KSIBojM1SZAoEBKLLPpljJjQUFQNEdQ059S2pCYi5FhNjD0YqioaqqoRIFOKvScKRGRAQEbksowNpje2/OXDQqApQzENPbUzjLuz7pPPffGTV25tr6wXTz56u+Lztf++Uyecrbsbl9QXmEswRwvdHhUBoaLoEWax61Go8oKiqqaIRGBRQaOKINqiB12EQMxUDBGo7yKppXKk955fvu+eV7/46Y+/8MJ9D5zagBVVIqdMrmRPCg4wtW0PhHWYWdtN0l4f13TaLzVZNJoAEjIvKFKOf7XwmIFwMXpw1Gy1UDBfPJUNfLJQLxFVOYMCMMgqoDlCMwHrmNqCjKCCPqM65wIoKGdDIGIDMJWFFno5HBhppmY08J5GWAhmSZLRBECwIOdc7/O8n+XsmQZCwgUaa1WW3TySo0YjZ1waD/p523RxNCyrmvqYQ1Wu8MA1DGp2JzV5R2sWc0pElFKczVq/OtjZudn3cyJ0vsJFIhWBiBDw9Vdebdp2ZCNJQiW1uRfWwfJw/eQGUCUiuJBPyaKqMScTLZx3RpXzC/d4h+ABCBARsogyZpXU9STmgXkhPoeAKGgKXZ5sT/+bn/vla2W1Goe5kH3sp8rd2kZ8+HHZOHGJ/VpFT66vvGUJ8jJcvdVnn6SKnjyoAimYpZypXO6Jp1F2Ju3IeyU0MAMkYEY0wCQigAIsmciAWY5E0JDYIYhMxK5yNe98XD17q79qIA4QnFMyZs4p5SySsykIUUZDFZIi0bKAU5iHUClWQF4NdOHrDd7QojieTvGYgfDb7VvHTREyaGlWke/AZxMFY7ACidAAMANGxUgaXF8jZUQBU8MM3Bs4AGdoRsjeaY9921CEzmaRXcG+tMacF80QKHEW6SbR3NANx3WFgRRjllAWBEDe1QOMbRoNB83ezEDLsjicTZu51MO6HBSaUjebWyYPxIvyGAEsxBYB2blFe3dVhfrEanHxrEikxZzCGzMjzIdbO3nWQt/vWENIdqCOUEQn8/lyOSg2BguebzBYjCYg0Xg8GiytQHnbIzk66h5VunMMRc2U2JH3hfcOyBk4WCivwNzDhHQ6Ci9Y+5WK81sf2QsbQ1H0bmW0rEvL10UO2jaXxYoQ9F1vKc5mw+zRcl92LlbKCUHNJIl1glduHt6ap1ev7Dw+KpUc8KJMYaYqKglNmRVRBAofHBkuenyIiNAj9xr3WOc8ZDfKnZl2wKZHUoUWRcTEEMTUMghrNEH12So09TRHdkQFkFMDXWS6jifyvs2OMQgB4E6Nx4EnHHpeIhQkYUVEEG6RAqAzJEM2YjQLmgwXjcqLOb4FkTcuNkLKlFJiTcGYvQPEpp2rznA4coFhGGhU2aikLmAAYvRIzaSBAFVRoQcVUVSRVLlgzvWHs4o8D8e5a2YHh50qHki81duoCrjonfmjrcOLmQZ2bnllJCX50i16x779HW3TQJJf+dc//9n9b9aDquyp25/ff88DP/mTfz12uTJgx5QFdEFwYxRc8D4iSpbUR1U1AEGzBVGdgaqp2oL3adEZ55AZCAEFjMQCIqlrxfPZi9P7HriZwkpRjgfDmsvcZZfzmaKaSexb/9lbe5M4O3N58pZ2Y9DVgqKWCNVQ6lAMBktfePlKvXlhZqObW90TKxvsCgQ2FABQk5RTzILMBiiKIRTOLaavKKuhmYl2aZp8zMIBi8rAY06cFcwhClqb+2QK3kUTUCAVsKzKpiEglti2bdTSjigE0P4MVAmPIQgXx4zeaH9fdEiigR6p2BsyECEjYgSyRZbe0JTIgZB1arQYkUFjA0IwPOrXUpGMTOSciqacVcBBUVZVa4jCDiAMg55crqbU6bRt50XBUPmq8oV3TWqyWcx6cHBQWhz4YasdcDDTnJNzjAIAYgSOiBYEmnhnU2gGAJIzO0cMjDY9nOy+foUfZBEFRANQRDQwhaIom3kzOTw8fd/pJliAYni4tre1288aW8VFqH70g8xQjQTiPDaztiL2yAU5x/5oTPDoTy+KillTwpzMMhEgLdJAVmQsFYsOlmcyiJ7q9W6Wb0/S9emk4Gbgw8DRel2d4/qyK29E+9LkYLLfv61cqnEI5owtEClIT3Dxkft3vvrM1Y/95vj8/bGd9aQRF+waqACimCRnEEEH5ilrHdATGKoutDuyStacEgY2Zy6lyjl1pEcCuygGOQkSs3NI5IXAgBhFMpl4loogECbyhk6B6E6vwp1l9e08F8cInMcMhItanB2JOyoCAjgFJUWdZ5kbEmCZUJhNoDiSn0MEADJWcBkWXZNGiEfS20YLEmpyBgTEXA8HmTs2GahzbhXK6f+XvT8LtjTLzsOwtdYe/unMdx4yb86ZVVlZY1c1qicMjaEBkARJUKQUhq2gFHaEJUfowdKLX+SQbDkkWbLkCNkMh0BJFMUJJABiaja60eixurprnqsys3K8N+94zrln+Me991p+uFkNgoClsF6YFaEv8uFmxM2MG+fubw9rfev7gofI2XYlC3EyTlRMuqW6M27cvA59qxT4cl40ZYFkMSVI5tO56sYcmaPRcYLkgLERJSYkuHRuucMdYJaTPHZEZAYWADTGVETz+fT6B/fd3bh/MOVKIhMDQSAIrE+G/Orgg0JK4+Wl1t6AhiGsHqtk6FqsFACReOeVBhRgQPSiKoldimmPjVFI8clLEJTxQAQMXsQje9XU2NSRAVLCxKxYwFtRYGzQDfBc+XlqdNm4NgpVZopqHvOIKuuaUxyv2ySWRKk4FzrwxcxaNgwCYmMVnFZQtK1Zb/3aX/ulr/2zb27f+E5K0l583BsBJHFOGyOsm+AcQsAI2EQhJOwMQcDA4lPSfNKu56hW5Gxp3QwJ5iZa4pgAg0YUDC4ACzCSIgOZ4waoQl0DTawOkTJWnNgUKAMxGmo68TdABkAQ9Ump9NE6IR8xEv45EAACNIAWEAUZKKB4REQ4WbUnOmmQh0rNT7xTfgxE/uQ/UkohYFNXdZ6byLOgq0qrawAD7C6dOneN/YfBdCkiK5b87Hik56GVmEY8MwuIIUnFNEWYV8eJSshDmqWB8qZuULDX7W201tS+9xI8Cn/SL0cEkIc6Um3ixPapZW1ao6U6lKI6WkCCIAASCgpGelLO7+4XC5efGh/sl8fH51tRmWAaoT7ZU1gAgAk8kVNUE86axuUz0BgoeHYa2SNZIhFCIPZBIcU2UjX4xitlgAlBs9CJ/YaAMHMrTaDbdeMZrbQ8iyunKJwk2URkMp/7ho85j9FVwTeEqDUBusBaEbAf9HrFtFpZ7f4b//rfMPNyVuZJN0lFiKhUiuhELRGEOTK65nBy9uPD4+qhVTIzA1Hgk8NbjMaIHn52CoABGudq75jAoygLTGwCW6baBxWB11w1noDkpO2hHhWa/Y/j0SfhCQzpiLQCCICBMSh6+JOfCJBPLhonKugTEvIn291Js0gYgggqct4FESL03kkA9s5TqSPQ4LYWl17odCc3d6GWg3IIvTRRpo0qAj0N7IrgkVBLJsabblXWQqJVVJYNaqsUS8XTo8NK9YKohl0gDiDqxH8FkBR574XZRHHa6kFMoIY2sQ3XDiqSjhJAYBHlJbCG4fz4j9/cWR5ElES9srgYLzTeATIBENAJZRkoEHjC46raH42SpgGjgRCJ5cSTDJEBBSgEiSPTa7ccMwEgn4zVE8JJWgsHDt47hbg0GDSB5mKqonDeJ62WSrJhWU6E0TkxKKhqTZVVuWsWJfYaBZFZiP2p06vtbDo5PM6Yut2O7ba7i30XAiMSELAwMwdGFFIC3ERWEZyUj4RFJLBzTe2YdMTM7J2NUROhPBTzs8CJzR1qxYQV+wCcCRlGACAV0LJxMYMC+LFm7VHvT8CjScJP5gnwYSAFIgspRDhJDUFGOskiO3l0nWiOT7yChD5x4GNmOFFOE4aTcBZFgehkvCC4BlTwQSkkOTGK8fXw/s3OpSfWiD56cE+f6h5WRQuoFWf1vJTS24q8AOlgK+pxOj2pgLDk9TxKVGRsWRU2ivb3d1tlqhQiPfTzxx+r+EUEJARutdrthfYE7gRmUnTSitEiAoIoDNx4p2O9EK3u7Q7TbmsZbMRoHSeMcOLjx4IKhYiB6uALaRxxok9u8aBO9KgoAiBMDOiFhcBYNJFOY0MQ8OF7URBQhEgZzzzLK3d4dDDOfS2ptf1ut3RhNDwuvNRCSBQQQSlJ40Nflj6gEyAIwkYbEO+8a7WT3kInbyqtNaL2iMCgBckLALIPwgEkoAQRb4zCT3ywTqooIYQgiGRRUElIjbIaT4Q/AuIlsIiIIBIH1sSAzCddUwAljqQyJgomRjwxD5Afr6iHfaJHEo8cCREfyiIffvEJ0YJ3LtQxstLWNcAnry2AH1cefjyS9+PhJ0RCIiBiCASorHY5KCJrNbNHHRgywpZtsa8LQwH2744m02cvvThk/mB/bxrp5XhtPs6Pb+3ZQscVG62R6+Hhcdu2UpFZUdrEumaOFpbOrD9wDSM0oUFMrTbiHMGf/OaFGZFEIPgmnzWtQZJGUai9VVZDBAKCwiAEQREpwqosGy4txOTdfDydVC4zMTeBEQQJUQESCEAQZDAJKQsiAQUoKMPWgPHSICutDKLxILWSJtTGzxV6BAfiAL2gItQIunYS0Oah2h+Oa5X0jDVGRakl4NF46qsaMQqKGJERJYl28+PCuWKaJ4tdRCVeWJTSmiHUInlkFBCGECFpIvUwEebEeVEUoScgCEohIpJSfMITkRCCCyBkCBGCMyiRUsTCGhpgIahcAwgaUQkY7ynCoLAh5CAGQhpckCCiH1pqPLTAedQPw0eQhPTjDQtREIQRGViRA2JGFmYOxprIQx04GBsFYYGgyAAKMxASYABtRCCcGOgRCQTnnXAgAqMpKIUKvAApjRgIgwZ+LFKT6aSd1//qi1/6u/fffWX3QUfb8e7eILdPRKcTFYuOvULf9okobawDhoimzeTWjQ/2P96zF3vg0ZRNKDwEr0U0ACHyibsLPLyOCbt8OpzdbwbOGdLEhkQDgidBEQQMwbH3bRuvriY3pTw+npXbh0/1LlNsHYgDcID6JGOGCRyTsI7ZWgIEraxlrbzWgshAAF7YETXCJdSOqkhKgEJrT9gAOCGFqCWgsGkckG1J3AomDhVUod6eT5rMFF2qWLsK0GgAzyHo1G7vHByOj87010ztPSILYGQ9gCeFAD1PSMDIACjAgYQEiQE4UAgxKSFCYq31yUNdTorfDOw9s0RxJlGkiIwmrYgQG4ISWCtsXGNQoQ8RUhvNDH1JbA1J4w1K6rmqvRVGpIdD0vApEM08ciR8qDP5ZAzv5FYJwBJlUWSMlGy6wTFI4QRS0w9SIApBVvschSJyAjW6RaIxKUWQenEaLWAEgRGy4O182qBvUNmmsSx51mOj0irkxlcvLG/d2r0vgl++eH5SlpP5cQVMkzJr63/7f/W/PXPt8eNqIk3T8nZOATUt9nvf++G3/v1335xTOacsaWdccE93MYAiw0ggyJ8czggc2HVb2enF+FAcBLFkyQMF8CeFYQGPollSIGewszY4vZrujkftkozEDYKOzRyCpyoGBtGM3gsosR0Xj8Fn4toszhgSiisPygeJTI1xyQHQhxa6NkphuYUhbUJkxZJH4ADAZKPGUm6qKdTHhcCM4ljXIvP5KGt3ewLTUPs6oIVgU2wvjxp8++O7V7aWqmI06C+AiHiHoAhRAIS9nAxiaPREFYoWSYAqjuY6maSarfSZYzAgkQrKiCdsGtXUzI0isGhEOkpl2rBn1EZECIIS8cw1AqBOKbHKpyQetYuM9ZyKIDU2IxUNPMYCgQRASFAE9Imq/k81ZB8ZPHKK8oeT6HISUCciAYU1UFAdBLJNU/qWba1oCUr1gJc5gEhFmIJFkUyFLgahet1ApFlj1dEOrATyDB4QFIJiDkCgpa9liUSFWnNoeRuGvmwrfb4dNdsfLh/vfW59Ubf8PuTSS37w3tu//4PvHbjiwfyoxmoW6pEOu242PNoPeT5Pwa23vAXfMslilxkIFJMOiF6QhZiBvbNakXhkXOov//yXf35jfbNpaq0JgB0JCiNIg2hE60aG0szEDcuZ7bbOnj+fRUlw3jMnHNJQW67IFTp49mwlziRzUmueopSj2JepBggO5mwgCrYVFEa6nazaKsOgwac2WhHbR0ytihSwNt5jkYdxQyO2uaPQbg2UU5um97n+6ad98gSZC4leoJAGgMbWeqF17qmvvfnRnXl1O9899EcY1dqWyDmBI8WkEBl0QO1AOzSMgjJVeiZprfqNSh2Q9sZCKhhpT5aFsGZVhwAutk751DfLqFqog2NANAixgPJSOe+MFm1jnVLCEbsMFAOkAfpas25AV0wdDzFgQwzISpAZLYNiwD9xwXuUSPgInoQP8WOP2ZPqp3ipqyCRnk3r+/eOVlPsb23s7B+vnEpQh6oA21nVSaz8TJm2QFDaAhbChWfDooC8UBVwpOxxLHlwjYBVRmkTdMyIHkXPPQakgYk+v3nq1aP9K0uLZSd6v5mFJAlduzM9qpzr9pbOnT/DnhdjczybFve265adO7+8tNrd6GrR/Uby/IAVEp04PQk+DFEgqD010s3axaC3tLSYr68EDF5zLS7BIBgAUECB0kG0orTd7nF+ZB12sJsSJwxd0WnOwBoMgo6sBmB21ECv6WaaddNkHHTlZOogq+sam7yZzmo3L/KxrupVNa7rfUPTJoxHw3oMI+PAhsYbD/Om5+t4OFrwTiLJp+NWohZbZjG4hX5rRpyVs9CgnQRfQgCZLC7Ndvu//hvf/N/9Gz/zYHe/iMz6yiIZjQoElHHpw98ig0KwIqXQkWLvm14tazOVM5GPfWqbpAn65DGMFIhqVioGrVYjuwiQBCClghJkIla1w7phrUxsdWa0ydIKCV0RmnIRXFcTimoajh6GYf3zB8wj1BX8s3h0SXhyIxUREUYFzEQUkyrrhppqUAGVdf/23d3WQnY8mV1/f8jUaWdFbHdX1nVMeVmVi0uihF3VMWmLqYmiWpvaK2O1BssQMHhP1olqvNdaJzXZw+H4ibVekucv9pK3Jntpb+GDS6cP3j1oMHBMoLU2hpVqxDOKMdojJJ3OQrvnMMag66N5flAtxWnFHlBIhFFORpqQERnJIwjm83x3d89qo5Vy3HQyI+ABGECxsIhiJhFtVXJ6sA6Vy3LKtKEmYNnUS1Q5dqGuy2Jc1C5TZcg3XNHn3sF4Poh1X8zk5p2RyYpQikxtA0vt9k9cfuyV6y+3H3x8/+abT64uP7a1dRxG03HuvRhNddEsRf0XLjz79ff+oLqxt7rRrkKTRqbn6Zmlhc12+97xRKpq2mktQxyIbmGzbfnUMy+8/v0f/v3/+vf+xq/8Mvaig8mRMiAaWRlQqbVGaQICsqCVMhgNiupOPWNdKVWZIFGojYEm4go8IQMHxUQ1KqY28lkTVpt55knZqCLRDROhsGqcdFuddKlnGmzQIfuUoMP1ip+1XQlMSlmloj9djXmkH4TwKJPwpKx40l4X5sh0jEkDHMVp9vjVF2k+v72/f/rcTxwd3rJm+ZmrL7799s5id8UYv3f3vaYggxdnw4PimKb5lM0Dsi1r3XIv2+xs1vl17x1hGbwnrlXkCBIEDUizedEbdI5uf7C5OJgXdTof/c3Pv/AP7nz1VhgJ1OQcag0IiiQCNKALMgvt/rnO8vakOKgOFjDtcBwpHbWzICKBlSIOHpUF9iCktGkCJq3+4f6IDsbpVqxEAaMwo6BSxqBCBl+5WEexabUSJb461UurBzs6jkb7+zXnja+1xhhsUtDnzj5289T5H7321sLuut4pnv3C8+lUT/ebIwxTX7pqDHW4wzKal0tFPnvtldZ8yAvRV//J16ZSTKgSYCVmwiEVs3AIg1m098HOpZWrsGCVra/0O08vtXoEEahp3hyownZ6OdC+NntshiE7c/Wp/Vde+/X/1+//3Oc/c35jMTIYt+IoJdCThuThBRAlcEiCWZqplMIw7Bf2SGOc1nu2iRVFhjSzALvQOOdCVrszdXlW+c50d+Hs2SDAQJHC4INCHZqw0OrVFKAcVTjNKG4pvdyPHrOdK01KCJHNtEnKk9mNk9w2YPgTs6JHEY8uCX98EhISCIoYZhTlGm6Mah0ezkLWPff4z1x/m/Op29i6urzQWj29NLhwfra78taPXn/m6pdv3P2nWxdOlyU+GH989tKXiqLYu/UNnI9OL2YIDiVjDsAMIYgEoighm8/nYiEd2KP92xc2z/DOtLx379/++Z/59e2vRU0eB0/MgughkKuNtsH7TrvzpWdf/I1v/v7CwPbqMLmz/3O/+CvtQS/KYmtUYEcIzIE0sdWNVmyirL3Y66YPyg+M01iKFa3R1rNplU8Pm0KNylaaDtpZ3Bok3XblRssqvRdu1zG5UmR7jOIPJ2OXOzeu39r9Y5wU8+H+fH/Sofi3v//aP/rW111sG1IVeQNAgiyotR2sLvS7acnLo2k4Pq5yhaWxHGHmTa01o1ctdXV9o7+YnFuO17eWVCqdRCWu0Q0vJXJ1bRAHvLs/qhm6bNfZ97K0cybZ7CyObn/8u+9cl++/HIHPsiS1epXquBWnnaTd7XZbg3bSacVK9drp4roWNMNhinqZ8iub6+4ozMqZTlQcEYBySi3k5fmquGw84NygB2tPKnQIwXtHgTuEhD6LuEIgjC6sLVw7HV2wQd+29XEFEGfhoWL4x23Cf6kL+X8ajy4JT3IOTtqEIhpYcRCIHFPFQM4ng4Wt2x+M+r1Ld8cflm7cqFtOlzc+mnR7lYvKOXNDYlpZ7nhx/cL6pZ8GBak2o1s3SW+7IkFog5QgpSKtVdLkFAndOziqpAwtNZ+Xdjq5vLo+294La61f+onnh/d8ysyBmbnSgI4huKWtzfc+eOcv/uVfCbF69f7H2XHzxLM/87O/+EtFUy2kKRKhY0FkEC9cIczZVw6WVk5fevbq7TcOsQLTwP0Pb/vM6ry2RkuCg6y9fW9fA19YPb20uDTG7eZwtDce/pd/+2+BC+GovLO30z21WgFUlb90+qLpJKcuPqHqNkbtJnKoGmxlSb+fVHmkOU6SOqhMmxXNg0F3f+qgIhP154ilDlPtV3KnU3JtuTQLTywtzpJAGld9cBxyzkEHBSpWaiMebFbwetGoVNlSnSoVKuJEbnRV7+JTg+YSDg9NXXFdzWf57WlZgy/z6nj7lpvdMLUGUmlXbel4fZjEvprOx0+eXT7TX54+KGkQFaYZycyq5Mj7uGguNvVKyAuZaO2VtiJIEJiC9zUy91tp1kl7Ye5MgtS52IvWdNOuJmUxYgpEdBLQy3+imPlfSPj/LwQf9lnxxMHzZCCpCqpizeCVDa2GEU0c2datG/cuX01NVoOeA+fgyhtvbT/+2KkOnULfQrYsBsk5Nx/v3Z8WR93uyigGlTmtYuUg8Rl2mM045J4cxmzyuZ81kPazTNL8aNzBpccHg48P9gelKcjMw0QpyxIIQAw2xNpEp8+c3bl++y/+3F/6Wa4itolJD4/Hi+vL/X5HuAZiBqVJ1fOCQPZnR68dXF9/vbdVm84UO6cWltsren5cFuVwb3RzZ/fW/vbk6GA0Pdwv9raO9i888+xYx++M3myd2mifWo0ilWbR7R82d8GfufYkO3XcWb58+cmcbSY9CIkoXRQzp9knVhpuoygOscIs0ali0+2oqCpyN2mqBtCp4KCRTJ1ZH/QXk/akohir2aHzVQIdjQbdw+3DkG6TtNLo2qlVzOvOsPKka4Zchzp2sYRBkrb7Z1VgBBRUYlpI4gBubO+9c+fwuLYFe2yO3p/Mk7iX102a6B8OD67/v//2me7qeqfb2+x2zraurK1e4WJU7C6+22yuptcnx7kJDpkQavIkAb03XF4y3MEwtaHpYC/iZcVLubRhBGYIqI0ZAJFAUBCANSAKnLRqQcHD8qh8Yv/0iOARJCF88vmciNEeBgmBIhVpKIlcTFG78pM2552+IVU5zgO7NG4rCMsLFMqZy50WNkoxM0KjqRxP7rz14Xe/+NRPxZmv/dDVJmKnSoN6zpkzVmlQiYlcDaNx0VvNGEO7nTbzor3QurK2+GD/wWxUjMtxe7DILJYACAKJb5rlhaXkUjI7HmNZNEp84FMXLnb7He9LAU9GuwAaFBeuKcu7e/dnlN94/Ye/87U3nl9/PH5u6Y9/8MoH773zYO9u3lSBlGnF2WrLnlr/8tbTtw/vf/DBm2dOXVg9d+aonJ997GLtC06Ki8nTh3kxnM217ZeAO6PjdHHVNWU/6UCtECJsCnBlZNLES9/aTj+jSIx3xTRfGvTGYZJZKOvShSb19cbS4lYWZQUboxuukyjWxpROW1EalQZURilFTV17wcyadDweSMPaiLISGU0u01EU6KTbmXvnABEJRBQqpRLsLUK2NK0rUsvFdJY086UEnl5dXpiU84PRXpHvHx0Ur72e/HB2EfzW4eRit3N5udX1sG2iuJ1W0yk76vRVhFYqZ5tioZiulflBrI4iGWTQNpSwNlRLc4hBvIotkUgg8CD6nxuM+1Ose6SqpY8eCf8sBDAkoFLnHJAD5R4621KzvztcXlqJ1JJvkKUE05kEs5gZk5kQTGgykQGGXcAqjVRmieupNGWTN9IYVCaEwFWoQmgZ8aG2MaUpTkbHyJnV1rM3KuSzg9Zy68q59ddvvH2886DVPz8+mi2tpk0TlNJktHehO+h2Bx3GTQB9klXkQ0DSQaBsWGmLAY5HxwDw4Y3rHYQ4VbCo76jj//z3/2436662+1d++osLWxsuTo7cfFgcVG7YvbixfO/eBzfePn/pYnuxu3nubOWgrEE0p63ORtJ96srGu29/3GL6woVL3kGJIMjH3CgjXkcUmpZ4xW6wuCaxFKF4+723Oml2udde7/eqOhzWjUXVTludyOzt3l9sdxZbLd8ErS0zawCUEAIbY4hAhJFQqkYjdi21Bi0dVADxCjwmibYJaAjQgLTFliEoQQaYN/VmL8kR94Mrq+KgcZ2iOd9feWxjZcni6b5pzvKtMOPp4WMH56/sHLbvbxd82FptqY6e5+V0Nl45muhRXiIfTNygnbV1ZPICtneCjc6sLC0na5NxMU9VvZyZmplRl85hQBUp1ADNo38RPcGngYQAAECEiA3qmnRVu2OBGmjxyWe+mKVu994x9roSyPnsC1/6BXQ39u7+SKkg6FnngBCFlBqkQNWk9LW0uumsioSAQ6NQRbalKGLtkcAYLOcFMBEaVk2QJoS5Lw/PLp2/emrxgx99//Fnfma0P1leaHHtopYREdR0MqHjNSAyP7QYFQHxDKgiQ3q8O4Tg7u3eub1/D6xvaFYtmpcOPuKofW118ORnn/vMC5/zRNeHw6LWVewm4+mDYh5lpjrI3/zojWtPfhbjZOfeQaTiKmGq62Y27dnklz//pde+92ZSlOc3tqaVPBiXde2CQa+Ac9fXtLw6SGM8aiZ/5x/+98r7f+Nv/Gu6rkJAbHwSnEgYtDv9SM0nha/IGaWVIhVJ8Iq8sNNKncTxImKaJt6X3BTLWdSKWxlQYJ+HqhEb6qAkANGsqXWkpKgtBx1FqTZpO3MKw+Ex9/R61E41Xu531roauSiwaSAM0C0Ev1GXqy5f6EfdtTMhDqWfkw4rSws/+v2v6TfeP//U8+vPXiznpZlzq6mWdZ7cvK7u3cncE3Z1ZRb8PTp+65v/8IWVg0v9rNYZoIaTVDp8GBD6L3vx/k/g0SPhiXBbPhlKOhk9IGaolFYQAImFZkg1u3hp7SzXB64GkBgkEZ9GNhseDuvyAdJE1LSmB0p3ylly9tRjP7PRe+0bryaQWLOUpcaQA/CURY0CFCRdRkk8GHTLvARHRllIUKpQNyXmw0G88MKVtX/0Rx/ee++VpfNP7t3b2zy/VTeNMgpQQBFoEkBmr0lOLAk5AKHSSru8Gu7vdWLzu3/427kpddc2UagyNku9cQM/nF0f5FtP+Ssd29WRXYyX0zTqJTQ6ujOa7mFMX/v215ZPn+mmK6tLq/lxUbtRy2Q2lnzv6PTZ5aevXNLO6dphXXM9jQ2RtXUxTwwMUtVJqdPXf/jPXv7WH3/1Sy9+fmWxVx/Pm9JxHToKW+1Ov9NqGekvLWnSmpAIkVkLAIi11hhzYiWutZ5OpwnpJLPBeeMrcqI0KwuBbB1KCIIEVeOaprYYEo0kjj1HwS1IXVq+sDRQNkIbFlINyRy1J1+byfTyYX757mG6u53raa6rxZAYp+fcBJAnHntsdWV2c//o3T/62ltvvvTC8595/tpTGbo2VKdaGRf5nddeV1cudq6cOxxOjmeHaoMVsVIJkGUIhA8tJB8aDDxaN9A/hUePhH8eBBxhZNVqNXmg24tGx0hT5PCdr/3WlauD7oIA5gJeE/3oj791uP/3Tq/0rckFPUQQAFAlo/2DUXFnfev0wc0QAjkXQJUY5soZ0i0CacJxkJ7RqikbcWBN1ASnYqIQl9W8KQ5OL5+9drr1/a/+nX/z3/2Ptg8nB3p3+fQag3j2AkykhIEQhYMwa7JGGxbZ39vd/vjOhdW13/u93/z4wc2RnUI/TdsRhKabtYp5PTqa/+53f9vt3v23f+3fWhksFTM+nOWd1spw934tMvdV2mu999E7n7nc6sfdXjctp/tOJO4kJghX9ZWL55uaxRoU/8ff/frZxx8/f/kK1KHXbS+12kr45sc3vvXtr7v58en1lVijjrQSoTgmxEG3rY3CqkhUrLV23hmN3nt2jTaotArsm6YRYWOzENzHD3bWz52zUYQeCcRLk9cVGer02828JFJdlWkINXvNSilLZRNKP1CQdLI4MU1dQBSUTIlhoC2P53z3/uKt7cVZnTQTp0rViZ0AVa5loxKDq6sz3e7GwsIVqG/s7L35B1/defkH5JqLq1dEVVHCm1Vz/+aHZhB1lvRKN1HaN6FgDxDwE9ftP/sYfBTxCGpH/zwIIXeKcffOB82t96fIXRHyMu4sOkq2S/6A9YModXXzILK3n3k6W1ooJMy9k6bJRBmPc8ezN99+qbMUtQf2eLbvfN00RdMUzpd5nnvXKF2z1FmSQOCqaqyNSSMYSPoDUKqYHJGffO7Zi8YN/9Hf+VuL/dXh/ujurftBxBijjUIkS2S10RqNouCbw72jD95973Bv99Tq6u/+5j95641Xrzx5US9YSNG5fJDon3766tXNxaUMu4m8fuv1H3z4cpVPYVb2VYoe2v2F1mDgQJZWlu/evjUZHfWjpEP6yqkLHZV0TOyLytUVkKTd7LiuXnrt1Zd+9P3Z7HDQMqcHrUGiTAQSmt/4R3/vwe72uauPnT9zOjYqSU1ktdEYG9VUxXwy9GWlAgYXQDgEz6FRGAihqZuqKgFYa9009eLC4Oa9O6+/+3aaxKXzpQ9lEMwykyXvfPje/d0dQYjjuJWkdVkez49PvIUNQt/atSxuBY8MCqnT7pzqLm7UduVWvnln1m6aUdIMW5Jp21PpfmLrKGqJtjZKjNUCVBe9FD5/+eJf+cIXjK+LZmZ7kY+ljrgXqbNZgqOjxJehnFT1DKMTJ2V1MlIKD/n3qJPw0TsJTz62T3axh2YggQKx13b17DN7eMa5VEuqg7ZMulxPvOI6Ykh8lfXbw9WV4sGdEKKWU1fHk2zTYBBjFC4vr/rGcogpUhy80VbISkCWBiM0uqV1adN0NMNJ6bMlrZwWZzSEXierjos8P2ov9r78xfO/9+1v/+5/+3/61V/7t6bl7L033kh72eJg2QHU2tk5cl4El9f5PG2SjXbn3tGtv/13/5vrOx+dffbScRZWaSVaTA7Hdwc9qxUf7w1feOb5j27eOD48/s1v/d65c1f73cVyUoPTm61zc63j9XT3eGf74Pbb779ydfmSVZFItdxa6ETJXkULC0sVeJbqwNf/4Hv/7NbsSGuzRHEW5pG2rOPXj2+9cf+DJy9snRksnuqkWpwvG4tS+yaQ8oCkSZnoJLBNUNh5SxQZmyvXMGtQJkoCg0c8LMOpy0/993/3H0bx8tWL58o66CgNCK+8+04zzZ+7+oRohQTH8+nLr7/eay0uLG/UVHloFGkNFGsiyxayfqudBDbDffXgQTKf2Jgb8ZUGY2ME03IkqT12jglqFZAYhCxJXRdxFr3w/LOHo0OG4Cw2CsUk0KoSHkfHvQ22MRYUW+IOKE0CHo1GTQBaGoHoxHfhYRzVv9QF/mfx6JHwT+MhGZFF5xg3Cayr8vx8kiW2lxgpIEipTGhZ0hoxTTuhaUI907Q4L/naM18Ga47e/ZaEWmEQ9iCgSSWJCcoqRFAGrOq2MvBqXnhlMIoNat3UgcgIktKaAOO2dXWYlxOqh+fPLH0FL3/rez/67/6z7S//xb+5eeFCXRfHD3YbYUCnoY/Mtc/LkN/f2XnlR6+88/HrZ66cXn/yFC4ZRdgNybnN829MDteXlw9397DhQdruteJygne3P/69P/qnX3nxL3SSwXi36LR6lzYeax/HjZSaaHR8tL2/c3ZwwXvo95e0h8XBajvtlSAiNJ8XeZ5fuHCJK288UsDExh9u3/3h268urPSeu/ZYMqsWkgiDN6LiyCilHXPlglbGE1UcAp1kuwFpLcwMhFqBAwTlnQuKyJpsYVl3Oi+/94EZLKKIP5r/4LvfXVnp/cWf/4oW8XVQsbl97/53f/Dyv/arvwZEIXhtyJKRhpi5FVNq4mo66Rjrx4fkJ4n1yB6ZldWBKASXqlgUFSfuOIEdMHtvPYpR3rBCWljo28iWVRknMVAa4tJAMEVYsFaFyjt2QLEQAQHoE9dXOnFi/kSDdYJHioePOglPIIQCc1HzyXF2+Ymfomjlte++dHvvR6sLpz6++dbe7n5vYTCrJp39jTTeXRxwEid39+8++dhzANkBB9QlYK2wQWhIBRZHWikC8IYVCRIqxSKNN0onRvP4aISX1khb9sxgAcBkac3zvNhf6JkLZzIjFz548+Cbv/6ftlc2zz77LC6s66SrnHw8rbfH+x8fXn8w2R1OazB07ScvsQGy0l8f3Prg3avXHtOUJD5OvKl96KLqCnecW79yfv/B+IO3XznVXnvh2hc77ZZrHDTJ5sLpyXz4k5/9yaMHw73h7nJ/3SntGpeSSdIOBGURm0p++LVvf+HxZ/7qX/6VMMqLfG7abc6ij159/81XXvr8C091YqOCJCaiQNYaViDCAQm1yr3zVZ0ggVFJEllrKsDQNAxKKyXM3gWjMLgqikhrfu7zz4coooVkcjR665UfDbqdVNOH7797+dwl59mwqV1YXds0VmmFxMFqrZDEKmVj3dKubkgc5HM33o3CsdEEDRAppZUQBMQQEVAwANZQAGWAGJCDB8VCTigECM77OE4VaoCAggTaNWUrUQYAGuDYgNKAQMAoP3Y6fKTxKSEhKIFgk3A4vtNv7jl54OG1ldXh5nrH127rbILKVV5Ppvcjc0QoacaVu/7db/2tp576C5FxToMiAMdKDARb5IDgWDkpawRVe9/OYm1sXkoTQGs8Hs+EzyFGVZh5L50kNVliQl3Vk2IO2WCwtQSnX9g8PiXvfnTn3a//D7O4PwxmCObQM/XipfUs3TArz55NlxeGk72WjdpZ+uGdW1efuLq4urh/d3xh5ezs4DBrd8Jkfm6w8M7B4ZNPP8mnz337D1+ejHa6LVsJ1l64lCzJVltr6wtLb4/fbXfblKhq3iihoFQUWQiALN2k1VPJlatXXlhZfABm597exuOX39+5OynGK93k3NLAuABM3bRjwRQcJvO88J6tqkWCJlSaWZq6mYZglEIXCLAXpwqNsHMSjEGjyRWzVCVPXzz/3XfeuX37lpvlX3z+s1fWNybFQTEvG9+gtnnZlGX9V3/lLxkhVxadLAYRFmSFSRodHg5v3bv5zNlTzf17rXoWGQeONRAaE4QZkKwWxd47TYpAGAQ1KdQBRBkUJSepb5osnrgKqAACqU4ZQKVEVhmVuagFpPnEmf8TIzf8JEru0cSng4TICJAQS9bZf+vd/+fEzZ++5Ne3+sXsfn8hBsYAoJIsuEQ4UmEocHz+inn7+ve+9/X3cEbLy70lzg0KN0KSEHU5oJA/Uci5wMwCRFVDzqPWOB3Pg49IJ6wm7B0TK6IoSxqu5vnYxkAsSM3amZXl5TNnhuPSdMdJ/0cCejJd2FrfWm5X0/Hd0bQCu3lxy82rfqu3trqZz2e7d/bW+ps3335/+VzXCawvLod5uWTTboCA/PSFs1U+lmY6yBYbgCjONEA9rjxUHdMuZ5VnNtqIC7VzAhwbS4C+aha63TPLiySy0kpnrejO3vaH2x+/9fYbz19+bFGbKgTb78dJp6lDUdVFVTuQsqk9YtTKwJrGh4q5KRtgQceJjY24qqoZvCK2GgyKRkiMz2f5c6e2VNxKV+IY4Hg4glhHSTYtyiSjvK6no6ONZ5+eHo3JOeSAWoHRzpiXX3n9R99+6ekXryUaYTJJ88IAMzcM2ijNqLQiBiBiBK+JmJ1ACIwIKEjCXNW1QhNpS8LBexQSFkVAQogNpo0Q1zVyLwYyHEDRj/OYEJFE+H8xevqfDQRkRR6kq5r26rLv9EYNRsuZnhdHxmLjChEAZeu8EGUQCguaQ6XM9nPPERy3Dreb2w8++MHL0163ZyOH6IzVIShEh0oH4U6ni6iQ1CwP09Fkub82PByV8xAPImUJvaurudGRidNYeDodHx9Pu1Fa0ZwROQ1ZmGXsYiNPrp7SJe4Uu63ILCwmepDsF1wNZ2fWz0CNp5ZP7/LOlQsrr73yStpJ+ouDm3fvbp46BU7II4zLdqv9E1ev3rqzV0/2T59abQQaq72vXO42NlabSXNqZQtZgaslBCECRQEDERmr106vR1aBSKbh4vmNd99689V331ru9U91Bx2mybxaPH8hSvuT4cwBk9IGpPGsrSEnpa+bwHXTNN5r0jFFjs1wekzotNVRbAA1MJxYmi+3s0Ww88qXRTkR79ibUoswoqBr2NWZpRQYtI4YRAQV7U5G/9Xf/x/ufHj3L734sz/1U1/Mb3zYmuRpLcBYcCCjPDApA0gSGhUAkYVd4JN/rVnEceBGMGBktQoivo4Q6cQkzhOyUpmutCsxeE8sGtAopfCTKIpHPxzt00BC8EAzktTCQlOMOqfaqM6EaR2Sk0j0hpRiMYg2iCBFIhFijDAUv9ex7c7FwcblM/fuqOl4ONz7gHRpY88hAd+YKIaYMIqq3BMpEWqc67Qz53h0NF1fMKggi6BpXGBFEidpt2p84ysxmrrJrC5RN4nxMp34WUUfza4+fVXrer57V3e6Poqfe/YFOtZ3b21fOP3Ywb3Dc+cu53VeFKVO1KycJu3M6qhx4epj1wZxp5pVphOeunQpIgZfxBSNypn3zUJ/oRd3z66f63YWPZMSNooERJAZQ+0dKlw5tbx/tHdpY0E4BFQbWxudm51nli6tWDvZ2ybE0+fOz+sgZJUGI8KAGShlTFXXeVM1igSAlBVRAYg8gKY4jXUUG6MAgARJsMImNhGWQYXgXDOEegZNv04NobEUgxiF64u9WKNnjAAYKW23/pP/z9965Z03rl186pd+8edm85nLiwWGKJAPGpSGiFxgDEEjaEOxprLxpEBpHYKQViJAIEqIWUkQZo/BC4gPPniovNc2kTKAmeieEW29tgAnttufkkGmR4+EAuBADAgBekAHogWNw8SEgqGqLLYqCLp0UTDKiARRVgQFEQQVI0rbYw14pLFW0qnxQELVuObslaQ4tjd++DtYbPeSrJofRCrxoNgVMThLaUVkomlx3GNlICn3DopTV5akUUAt0EEZwxhYwBhDHOq8YYWgDEBqI+B0ntb5441++1tf31jeCEsrOwcTs2q233j1p5//5RTb7324e/nxp/aG4+nk4MrFy+/ceuO4lDTb6MjC5mDFD2aT4VEct1TdbPT1e+++WexOzl/+jNM6dyWk0QzRtHpN6a2OI9UXcIEr9h44RMqSDwtJ4o0NQqhQB7jz5tsb2i4kZlo3qr/0/LkLXR3PfKkzJM861Szog1baKEJF3gfxIWLFpGur6kR14nZXKUHntMyMYWU6VegwENTYqpRqkDVMTOPFsyeNukO2J5YBe7ZtGUjKMkmp0/5vfvsfkTR//ad+8vSps63ldOdov6PQTw5tmZNnE8UQx4Eba21eF5qpYQwNxAqxaYwXCjV7DmXJRdmUtQ+eiEDY1XVomnTupI4k/fgYmt5nj1bWZrVdAVwAKZG9YOKp1BArb0TJI3sXhUePhPCnd66HbUJECzwP7BjRkA3CTF6DFvlEkwRwMnx48u2AAYWAIyAU9jbi+exeHK1fery7/cGt2k0izQqp9h4Vz6fHaYtY7MJS7war/aNh45uDwyHRGgRVVI2No7SVNc4F5+M4zuu6bJooMhYAELXWLo0N4MClH16/ef3du90rT7fXVs6cX2abvfryj770c7+6P4T7e0dnz58OGmfjvbX1y7ene1r3jHStbo+OjmaNSzuZVVgeH7318g/i3s6pM1dNb0GzOF/NK5dZHXxQik9ifVGQAIBZaQrOC9Kgt+CDKBuNDx5AXZ1bXycKs6r+7Gc+22l1myArC/0AwI7necGBAZQwpDqVzJRlU3kDOqBiQmnHESs4nh27Yt5JXCuxNgkOASoDTe01IGIMtBW1F8GKshHqRGsU0VG8tHFqd5JDmlbKvv3uO6+89/4vfO5L08n0/NaWn1c9jHFSzXcOOEBVevBiAxfzCRiNyExQsVR1URIpL0bQl7UP3nOIrSWtXJFnrZYGMk0jzgMH4QhcbQls0NjUjRQ0sIBIAB4QkB/6Gz/ax+EjSMI/BwIMRHHWchWCVgq1phM3RAEWxE90P8iAAYBATiIMFDMCMEiwJkEJaStsnk60lH7uCVwIVWQhSiIT6apoFlc2yUzqxilljsdT10iattixC977UDtnSYPGdq9X16UUvpVZ9iFwaKwWZJ6XF9dX8oOd6995beGpZ5L1c9m59abD92/c+uyzz+6M873j8aSGVu8UhkHiKEsWFqM1raM0W67BTebHZzpLw70drvNumohviqIOQIBGmyhOW8VsflzMQKDfa2etdmgq9o6Fozhxgnle5rXvmPje3XudLBGjZvM87XRVnJo4ebC9+1//P/6Ls+fOfukLnzt9astXLjSeQzBktDWWqKMSDzWTlyDFdFIgH8zG7771xrIufvHZy1rvd7uroYkd6joy8yDsQ+bssm1VLQ9Ede08atNKqzmNm3nc6X3t5e8XTfHZL3x5b/+wv9BbWFnDUpYoG+7Pdz68E7kmiLImpqoQQGwlSlNgb+MIbBSAbWwjY1hExTZuZWyIjEqrKo6iUDcRKDfPDYjLdYA8tTruOIMUCTIqAIWkRTwhwp/Yjz66+BSQ8MeNHiQKgYX5pCJ2Yr/9p7/3xIybAIzwSYKYAmAIQCpmRyKurqdJamxqFSbKgEkCxaEqqhAEjSJj4jRbxOWbH44Pdo9WN2LUjozJy7Ks62xxyRWVD04ZG2UWvacQnKYG0BtodXh1a2nh+nAtkg6YlqNbb74DvRUVdfuay1j5bru7ONi5vW3iXispM9vvZKsWYGUtGd0eKm3Z+YP72xa43+8GlLJqGlGhZkp14SR3rizm7ThKY5NYVbuqdEEbFUQoTo72ypXl5QYAFMWW5r6sQ7Cksnbv/v7R/+0//b9XZeW9f/vtN59/5rmf/tJPJdpiCIxOUCU6RkPTujKaGWU+Pf76u299PD4sj/Y3jx8k3/3Di5FWSHOz2HvsscHzT0Vnz5ZgZ3MfGFOuUVlv9Tgvb75zz7R6Ubv9W3/wR3vHh08+8dir3/rOta2tz3/xJ8ejYYLttrIm6x0Zm/bbUdyiQZctJ2mqrfahMZEx2jRKGgwEKAisiCPlI6tja2JrCcfHkxgUOB5u77b2jut5laRkkoQhAIc4NhVFAEo+sdd6uIAebTxyJDy5PQB+EmX0SZUZAIRZTuJvFX6St4mI/wIPEeQkD+RkqNoBI0iEEKEI8gzFhwZcUSvSjWuaUEcCRreU5v3xMZhoPJlkaRT89Hic9waZ57rVbRGHTjtBUqQ0i0NksrospgJCOouUAZIqdt20Hy+keFAe7O1cAnnu4rk7+4fjj147SPTGhSc7cevjgxEWdbfXW3A9dFZDwswBsQ42MZmrQzGdpWlqW9kk+ArBe1AYVw59qIu6AiXaYhDHjUMfWnEM2gbSOcLiqY3740lBsDca5jDV/VbFHur67/7mb73+6jsvfv5L/+pf+yvT2ayq6usffri9s3t+a0trzcIcWAE3XCkl82I6z6tvf+elV/d3N55/+omnn3znv/iPW25ySrlqclBF3ffe+OPZt1ZO/fxXnvjFvzq17cZEcR2KeRUNlhXrb37ve/uj6cXLj80mw631lbQJv/T5L7z63e//1j/+za/88lc4b6qD0pb1YKG3cnbZtDrBRNpgEJ7nMyFl09iLBGJB8oEDiI6MN4pJPPsHe0fbe7vXrl7FgPV8jp6n0HgDZKlGZ7VEWipfExkALQxAf7IyThbKI/ssfORI+D+Ck1CVExfET1LI/+xd/8cKegBsAB2qAGwRNEBAyslU7OvgkbQOwYmTkNdp2gKmvKqKClpdE8U2BDw8ODp/vluzhCCkjBBWVaMA4zgWH5y40gqLb2lMRVuR2pcB/cKpVbh7fDw9PLx7+1zXfPax9b2j8TsvffXOe292t55Y37ycrC9LKy5r49lY0EFRzj7Oeh2KeLY/z0tREWTZXl2zwaaRyGhXskDjQ2i3Ihubuio0YjuKjY1qlmCiB1Xxj//p737myWsfPNjZvfXR+vlBWfjFpa3J3H31m9/5xZ/7xb/4Cz9/NBqzDwjmM899tqpKIWBFgQN4sWRyV7EKw8noN/7RP/3W1177wr/2vxbdfu/OdtLtyu7eYk/bXroZ2bO5+3hy8PX/5D976fe+9xf/vf8Atlolp14nH354Kw989vy5J5/pb6yurnbSVq9dz4rVJPvSlce+/voPD/YeXFg8c+elb+Xff2lJ1ZUv5g5S6ugGnGtCWdjYYlk3zmtDik/yvRWykwhMagPhu9dv3d2+12L13OXH8+NikXW9NKhTBWEWACGLvKWSQ5v0iZHFJwfgp8Bj5lMyRQEAJw0fQkDkEDiET+4b/+L2JgKICtADesCAlIOaARZABdAcYI7aKaUIFSERaWsSJMMMiytLtavH46m21hi7c//AmpQDl3VNRIGDjaIg4gPHcSwKITG21yKtlA+xxygQ101vaaAjpYEPb9+Km3Ln/VdPD5KvfPG5U1278+5rP/xnv+OGu/Vwb7Pf3VxeUCikFVDUSpezbCkEcmWDxphOe1iVAYCUqqrGBUaiJMva/U6SRsKevRMO3gVr7Suvvf4f/sf/xXFZ3dnbfefmRytbmwxQVNXt+/essf/X/8t/+PNf+YXhdOqd06Cawg0PJwzKIeXBeY0qiovGz8ry6HD41a9+7Xsv/6jV71uK1pY2nv/ilzavXmkipJ45VFNtZustfiLCv3HmwvEf/eDv/0f/5fTOfsM2r+X+g0PP/BMvPPfCM09t9HtxmdP4eAGxHo514C998Qvryys0mXab0KlDBxVxAN+IwamWCboqVi41U/Az8o7QhxBEBKBxvqoq75y3aunCVmtz5aPD7VtHuy6mGXEwqgbfILeXB5joGjnqtpS2J0ZrD2+ij+jh96fwqJ2ECBAzgYhHZIAYAqqTkQoVB5sJB/SFMT0PUVCRwkDglTAxUhCP7KNpUy0qHHj9VkQ9qJdEG4aA4g0IhAikp2wwaQMhVxRMkgkhGFWE3ZWtF9cu0ntv3968qJO+PtgLx0cqaresUgQc2FV1btN2kReNreIkDnORwKLQKTiejkj7QUqddtqO1FjDfHKsjHKl3Hn7+tbVpx+/eiVbGd+6c+/ge/+g5rhz5fmNJx7vbsisyKJ8WeYd1x0Nj1+LhnuD04N5WsfBHs0OFxaWNDvVhFTrQbvTik0sJUWKApZCVuuKwWTtFz/7ohh+9d3XLp/dmmJkxrC4sbL19KXHXW82qW9We6Zlqu+/a2fN8mc+Q7pXCI3dyGYeQ61C7xh8lPobf/drw1ff//lf+MUPfvjelSfPNh27s3u/bkWjB/l8d8ab7bHU+ZLURb45qn723OJ/df+V2R/+/X/nr/3vF7Loy9euYKIaEJnnxbx+YGgBUAdHVkpoilqUjn1svGWKsHEAHGugUM2rqgbnQ1XXk2lTlEqpuvBcVlGvPUOhxEZJXOxN5jzpnV5bXFx5sH37zvV3upeevN1UC9wt651O1vMW9ifXt3Sa1zND1qJHXSsgEANggJDokebio0bCPx9ICGACSwgn9RYiRBY+CXA/GcRnYaWVY4yj7ObHO0unXZIoBvzkcXDyyiQO4B1D01giAGmKwmQpeK8IbBw/+9xzr/7oI+dDf3Hxw7sfXP/o5pWnO8xEAMYAKgreWxsRStMEo63gw1xS0rrxRV3NW3Hv1NbGcOpmk/l0Wi1vbN67uX13+96iNptLi2sLyx9b/WDv+Dvf+KfJj7594eL5C9c+12tfXDi1UKrw+vggs+nqwrrLOqWzoVbNfNrCKElMO4ljrcB7gyAsRCaKo4qlaKrL1y6VrfbLL33vX/3Fv3R+a9NNZylYm6Ul+FuTMVkdsW/N6qIu0sl0y7u7XTf13HKUjrhIqNy/627efO/DH7z3g2+2NUU39f6bL3/w7QvXfuEvhxKTzqmp7eapM0v6uDhej/p6rTMcDlfT7AmvvvNHf/A7Zx/75Z/8qZ7VqnQQwCRJSEQAPAggaUESpFpAQhpCHlzjqqKczCZmVrhYoFtDEOaySqI48sEo1SiUflYpCYa0IbCaFLZDosmeXdqY7O+Gen44OXzsqSf9WNLNBOf5Rx+80r40h0CFgxaZT+ox+EgLRv85fDpIKCdWekCkFJyk/AUGJcCfhGohAAgxAVrn4P33bn5+rUWZEuSTrFF8WOIhYfa1Q89iNIfgvW84j9uZUiaf55ce/+Kgv7C3d7DUWnNMR+NZZHsHBw9W1vtNaJJWjwNzANY0mUwUqSzNQhOOx5M4VYudPtUAYb62sfj+h9tRpW99dPcnX/gLo1k9zqfqYH9NRUYl5y+dO3sZFOIf/ubv3b7+VrhzffDYNd3pGhMW3HCEaq2/7kz74+l0pbuhILJgYmMtoWKmAIrFmCgA1cye1HE53757Z+74p57/zIW1NSwrMSlYXVceAk07cQj5mvOLo7Gz6N1s+vpL/tkrreXNyNmeR7+z94P/4W8n77wyaM//Nz9/ZjrPbeNXnz+/Pb1/vH0Le1sFL4xC+iBtLnSUBN11OtSufWZx+Y7/ZbVwOD36J9/53cH5lRfPXe1U0rft4wBFhFj4wOiAiBEBSBhJino2LyfKQifKrMVOHCdapQKgqK8GLICKFJFD5bUu60oUikjjawVEAYrdiRrQamswCcX9vbv9jY0o6jfFZOf9H1K+uxijApN1NpWOAQhBIZB8GvoT8GiS8KEzgQA9zIQBEQQGrbXVEQhwECQCCQAMIAGCQgUkjWelk+nM7+8eEw4A6ET6TUByMmbNQkKRjQN770PwDECIpEwUAtRFSR3z5FPPvP76N1Z6WzZp3bx1/6fD6XbWPh4PF1b6wVUIKnjgSNk4qcta6xghAOVaWZRGIFTVcbe/0GnHoaI7H976iVpWz5+nwz0o6vneXu/UOU86SdVnnjj34LsdP5oszHc3sHP3zr1Ix+ZgP58dLbXaxiSua0w7M5R6FxCUcFAiEVDLJkIENj6umzfeffeVt9+2SfpzP/OzpweD8uAwVhQQKxEDNqHo2Lq44f7eUL39npTjppx+8NJr/cnO8s/+4l5r0YjsfePb8NK3vrSVnHvi1F466p1ZsTs68/a/3f/wpVeiK3/932n58+704zf2f3D5OF1oL5Z7k/2D/fTi+V4kTwJ/weLXX/3hK089cencxbZJoOKAUFvfZlAAFQW2JgAHFIYGu0BrbdrN1rurcScGX1ehLqAWASBuvOMg3gcqBGpgAgFhHxJtUcCHpgpVyPni2c3vP7iuYnnr1e8+dv7Z8Z1Xo2o/VbnhklgJxyDqpEUh8M8lXT7a+HQUZhAIkAKDcwEexmCTQkRhACYCAUaNpJWmZD5t6goUpRyE2YMIMRGgb5wE0WSU0nGSam2ssVGSZFlbWJg5TlIu62vXnmwcM5huf/F4lo8OqlYyMCoaD4chVCLOaBKhbn+h1en7IErbxaUVpWJhw8KT+RBVvbTUUdxUo9mDmw/SleW40zIk5Xh8dO8uKFPWrrPcv3TpItWS79zv+MOfuJBd69Q/ca63sZH847/zt175rX+Cw/3Ndpaxa2k0ECICi5godRLdXgXPik6dOfvii5//3PM/sd7uclk1dXkSPa1RoYirpr2yGOzt07vvxndvp/fv9XTYWusu3rwpb70putmr9+qbb/zS5WULB3c/fmP73XdiHY6Ht+DB+2tu1Gv5B6PdB8cT2Fh/c/94crdeMIseTZR1xXlQja2HnyP4mRzuf/d779x8v0q0c94Aa/GpgBYJDE7Ai4gEQtjd3ambOkoTF/x0//Bwe7c5nOODkrfntFNkI2mNpDumbm37KluOeoum06OsA0lL4pbJFnRrwcVpzqdXlpvZUFeTO299y7qDSNUsjbJaRHzdIBgADaBAEP8kuf6RxqN4Ev55eGga4pxjBhYIwRtSAgIozCEEVtpKgFineX5UlcE7BsCHUYcMyNBUjQQHgOwZWEQAkFAQSRESAIqIsGxsnur1BqPjWas72D/g4yO3tpZlSXec5/l81mpnSBIYgpdWq9M0LjgOAgB6NqoDF9pg5Wcri51hO5/Oqnsf3dv6/LW0m8pk7qaeiA8OjylW8aB99unnPvjB9cl4f7xzd6G3oI6H3Wzp2pPrR3/80f0ffv+Nu3f+5taTq92VSVk7rRrnSDgixSxl0wjpsmmSJD1/9rwOEJV1A43TMpMmeE5Bs3ih6qKX4Zsf4Afv95Hr0eiomXY3FglHuzs39ehxnY8Oj97Iabj0xOqD+ihRiZRUtLGfwc8mKwdN+fHkwfQIrpxfHy8s3D50q/v1saa4P4gauTU/Sjh9zqz/Wq3//W++9OpPf/7K2uUFnengEitBAQexTGmFHTL10UTqnO4cDUZ+gZN6MoSEsNdREMG4YvHS8GyYa1K+aUbzae4bHUU6jpq6Dk3DDYOUsY8wxG4F4BxDVcYBl22Q2QOiOMSRIx+TzzQppU+6y0Qo8FDH+C979f5P4FEnIcIJOwBAtDVGW/FBTvpbIWgDRBhOUqnZM3sQfTzK69oXhVteUEEFAAocIICcpNtL8M65aqqVBkEBBt/YLImjCAWLYh5F3c985oVvf+OlS2ceNza7d3989anLwqbT6uRlns8mrbZVOiqK0hifJBkaKue5iWJMu8yYZTof1Utrq2l72O+b7Rsfz4fHJktNd2FejLxmAirmfrc52rhwaePxx++8M9q/e/TYxSVmrOtJb6GztdneuTFd0Ke4KuwAJATUWisN7Kq6FFFi9Xg2qRgBfVNzpm0/MaB1pLJ5VStShsi5SnHVndfl3ftu90EeUVSXsaNG6+NyMjze3ZoM33r9+8NmO+/x5YunpvPMHpfvf3DvYDZaKWZPbS79/uFI9u+KrMrqUufa09d/948v7ob5Mk9m82iai1G193w0fEFWn067L7/08k9/5uev9broqgSCtxobyZTFoznl5fTd92b3t1eAyo/vDYvZPEyqTGbg53ntSm8YZtNp4xsJQi7EorU1NrNojdJGKdKKMtJpFDeNMrGp6klbuB9BKvPS5V7HwcRiPOq5jQhIP2xPPMSnoDbz6JFQAgAQIIACEQRBYEYHKETKoIGatYgBb0lrQCQQJQ6CFzGR2b47/OEPPkSUujQsNbAWjEUXrEhQS3B+JhED6QZAgkQBHKEDQuXFE6aRz6fzZ5784svf+94kv9vprH30YPTZIrSzllXeiytmpehG6dRY5UJVTfNW0tFa+6IyRqpaRCDOEmNssmb99DA/KPydSfvylUmU1Bs2H99LgjrV3pjsH4yrva3Pnrn58UvFx1JdTc1g1dOsb/1zz55e3Iye+Ylfgc3OqDwWTDhEXkJQ3LiidBBj1jQOxSgSYOTAc9MoYfTQNJECxVSW27eW60YXo2S8E7WjOlZFmSeBUh/N2murnc78O//k7td/46/9K1/pTh98/IffZpXwUr9O9WMrFxei+rVXvj3oLJ/ZP0s/8VP3MML1K5Pp7zxdSr+MRZSKW5eyQTFr7kdV6OZPUvt733/75gtvzH7lQpeg14Spipl9Vc5vvf/W/Tfe4uPjqCrmEOV3DmA08u4wjrgDnUSrTsy9UubMw3bEmlZDtN49HXXTmo7jbgtMKgQNT1IlM4u42Kamwjs7fa2ZRrk4h1EiXUsxwrBsitLUPSRNGhiBRZAR6ZE/CB9BEv65EAABCQJBwPnG5T7SJjFN8OSFAAQJRbSJ9nYPbt68v7m1UldOhJzzqC2pCIBIKau4RDKRMZSGBoi0UUncTlHZcVMIlBRD0kp9455+7tlvff0bW2tXRsP94dFxu2U5QJK2ynI6m8/6SdtYZMQgUrua2NSudrOJSG00KjFVPl9a6u/uTAsXbl//YHD5kjU6itoGFo+PJv20WFlfPDw4MLFdWF+fXr9z78HR1bMX6sqDgjQ1seG7N988e+Zy2wzAhZlrvEA42Z8Eg3MIJMLeOSJtNepGSIIKrAXFNaRAVUX+4fXJ7Khl1dyaucFc1JJJhOuk2yJDX/2dr15aWj6PScD2rVEdpPrM5z9bSX348e1q92jTLtDq+VffeXPrma+8ff8Bx83Sl559595bP31+q9+y6XBS3jtstCkjs394eGHj/Nrd3fe/9e3xV76SpZEpPGoEjWXpF89sLS0sdAUryee+9H/83tE3vnuqPVhu2VbInHBtak5Cr7W4mCRRO11cXExs7KU4mI5b62207aqpY4PaSavXuj3dfrD90VbbRJCgjXYORlYlUUxezbRtHCJBRqB+vGTgEcuc+P+FTwcJCRQgohAEYR98qDHWnliADRGDaBV5EUVGKd1td4MnVwOhBahBlDAAEAAjKhEJIVildaSZLZMT8RBYaS0IRT7Tqm7Yb5072+50G+cQ43vb+xcuXGwqTNKkv2CHo1k9nZnM2kRrmzAjglLWoImQqK4a8U2v21teTVdWjpUJd268//T8p7U1ylrV6WukYnagWoOlzVUzsgunT924++DO3vCie0xHHVGlCm5jtXf943fKl9pPfu4vBNIzD6KsEBDqSLSIWGuCkyY4pYzWFNgxSCAgS4hY1bO2giyfljt3O1q8a3KNrA2CCmURShSpYDza2FzgBwe3P/pIUXtpsRUm048/eLsdx4tLC/eO9Hdee/ne9v7dX//P6dIzRbs12rzy++/8cPOYz+5McH8noG+ssZ3udrV/Qba+aFvffOetneleNz21BEZrCh4wjU6trydEtmzmSfiwPGhu7KUL3dOpjn1ZHjdK606vXfVbnXZ3Le1BbGYJj4tJ18jGxtbMBdSmFre3t9Pv9ka37w5nt08vJlRPE5MdTwppenHXCRao58o2oK2Kl5AUwMOJ+k8B/wDgEayO4p8BAJ44uiptRKSqKq2VtkYMqciiVoxqdDxtmiAM3nOatoNXTYMhoFIGEUX4k0ahIJKrm3w2L4uyKKr5dF7lpQABkLjGu7KocyboLPaW1lYDS5x0793bdx4FVNMEINXt9lxVBtcoIhThEABYa1WWZV0770Ubk88n83wYeBZHXOWjvXt3bRRLEA4Up2m7l82Ox841vfX1J154PllZ2RlO793eRbTsOdKgZbaxbEe33/j4zW+nVBkKWuFDtyJmhcooFUU6ia1WIBAqBTn6UrGPCCNi4un4cLZ7vzjYO7x5Kxwcx8M6eVA2N/ant7bnd7fDeNxNbEwQvP/45u1Ot99qZzd+9HKXVDft7M2r6/u7W+dW/w//ylcuzw9ejO1ma8GunXvn0uXfeOWGPU6ZOkcbC/sK4xmsb633FV7UxoyHw9F+UIoDCXulVZRE86bYPz46rCazpiDnE4G2QvBVMNA+t7n5zNVsfeVeOX/zzp23P7g+mxdVO6oJ93YOx9MGbf9w3Lz34Z0il3fufnh776P1nvX5flmNK99UFWvVUioi5ZUpgWrn2FcGPpEyIj3Cku0/jUeOhP8CTrQPfKJ30RaNBSKKDEaaNVFsAqJOkqPReDg8prRLpBGMsPGOCCMQJeBQ1UgOKcDD/FYUQWZgFkByznMIiOSbqq7yJjRVqNNOa2PrVOO8tenB4Whvb2iitHLBB0izVpzGLOxcA8JGKwzs6ypJsyROibQIhNCkmVpb78U2kNTX33odfNDKIlkwEUZZ1OqMh5O69suXLj/+mWc90c7BQV42dVWDr3uZ6ia+Y6fX3/727Y9ezyIVG42ONQMBGaVRhL03mmJDROIRGgkueELoxNFSFOmiOdw/zKf5ZDRpplXG2k69mnnLOiVTzWfALoSwfXe70+10eklD1db5U5trG1lv5f2xO75/cCWyF5GfNLTz8vdLzu9mdf7cZ29ky3c4uuXCN25cr2xMXk/2JoaMUYBNUezvG1QNg2+81Sa1JlZgpOZiFFfT5bzu+rod0+DUYPXa+dZjZ29w8e07N969cefu7uiN+ztfffWV7aNR1lvIFpaHlQtJe9S4ZGGQ9ju9jdbZ8yspByq8VvZwNvUEJiIirzUiIQhxUPIwCw3wJFz2U3IUPuokPNn9HSAgOhbWlPTaFFlRwAguBB+EUC8sLo9GU3BOK+0bJLDH4+lsNrU2RXKgclQ1oANkRNTK2CgmrZWOrImzVlspQ6Biq0WC83XDXhSeOnUaUZeFL3J/984OoSJSRGpelFE7FYTh6Ig5GMAYdSvO2q1Oq9Ux2uZ5XtVF44t+P8vno147GR7u19NZ8CyAYFNHcZT0dJRNj2e+ducfvzpYWtw9PKyb2ijFzhGHbmxXF6JW5F5/9XvBlVw3VjASUoiECAKEoBQqTVZTIioJFDmJq9BryN/cnl2/B9600/7pcxc7m+uu29Kby+m5U+0zp9oba4Ggk7b9uCjuDM+urR5M7kMLKFN72/dfffODt3Znmy9edQOudXntwuk1ooPrH0g5YtOvnnn2P7/77r3EnGmtxWwfUJjuTIfTskh1WRf3334Py9oTIZASlKroKwyHu7/963/r9T/+Qw0FUyF9aF1Y4rX2GP2eCfeoWlpYW1s7a06d4o0V5+B4Pql6tPTEmX2Vz3usNiyv8BOfv6RVHcZ5Bq3JzI3K0hlOWqJtEBGCSJu2UbGO0n/Zy/V/Dh7BNyH+mb/yyZih96H2Hqw1WRKsCLJjZwwdjQ86/b6/uz06PL59d0dUgxSNhv6tN+8++1ScphzQISpQCMIsQCaJiaTxQYCspgiEwXMQ3yhED6R0VFX54sriysbS3dv3VRTdurP9zLNnGNCDI1JeAlllWSthBF/VpQJNCCKcpLGw93VTl3k3jdNY10Tj2ezowfZa9zFfs7Gx0iYon3Wioi7z4+P+0uL5xy+98aNv7B0cPX5lpShqj4ES7Cjt92bnz52Ok2gyDyeFYGOsDwEAtNYgwByMNppBgcmUvfXezb5Nlorqnes3W7M8O73ICbLVFQIhNXXwHsmauSCLlsKf661wTMOKM4P5NJ/r7jS2v/pv/utrT9i53luJNujBajKkG7//+x98VKjVJw96neqx5Vvl/MmZjzXVadLrLN472J/HsVZ06613j/b215dOGQUonhRUvgrcGD//+JXvbJ5eNC3k1HIW58zDqjr70z8z7HWiNx7UFTSnFz7z5edX63I+vp93XcHT/erYrnZA8dqps+hG1Ww6aHVmwxkoaylEmowJws65gBEAYhBB1AgWAD55EeI/9/Wji0fwJMQ/9QcRAQwwIMdpHNk4CKMlL15AdKSUxfFsPDqedgfLuwf1dMYORyri0UH67lvlvCpABfbG+YDqoZlY1XB53LiqrKr948n2fDZkRaxkf2+vmM3bcZurwCF0FzurZ5cKznUSHwzrPI+E242H0WzUOGeQOkkmrjmeHFUyH812GRtRYV7MBUUbo4GQudVKxJdGyr3bN8n7yCYqWJKI0gQiFRnNwfvg189vdZZW72yPZ7kB0yuFuUUmsQsL/avPXhMU1CaAcaJZRESISCmtldHKIqmCAqLuBRPdud+8/Uq/Pr680LqUxUlsc99wOR24ys7zVoWdQieSVt7cn+f3m/mkJYfF8Xp/0e9NnR+8vBf97gfzl96/3lT87vd/cHB4+N/9wR/+u//Hf2/26rfSmwe9ELkgrj94ae/BThAynWJYST+d+hJqtxKl8939sphX4CwpoFAZHkUKVhYx8+1y2Dk6hrrsVGAoJs7qtFddvRadf5pVy7b69sLl+MknqdWdWjOJovls8viF04srbcjM6tXHq8Ncm9YuyRF5BTTQcVdFyB4Fg4eqKRnKyjWeI4S2AH6iGj0Z737UFaSP4En454JPDEiZHWIs4hHFsEUXFNpBtvHe27c3Ny/vbo96rQXiHRIzm+Z37368d391fekUGs/ArioUOmFE8S40AiyotLKuCbqq4si6or7+3ls/+fMvElLdOCG9tL4Z6Y4CbKry7q2Dzzx3YZI7KPMQkel3nXOosMiPkiRGiipOFSIYKPKpBqmRydXLiwtHxw/aWXb/3s3zR7uttfUADkCBMBIqrZI4rYuq399YXj4/2r1z7+7xtafO5WFcz0JA6Q66xWwatRErMVFclh6dV0QESAJEKMx104BFw2zzulWU1d17+8e7be8WIJrc3J7NR4welZ4U8wF18qLup49LXc6bonf1sW2s+5FKss77u8cf3X7wm9+5d3cOH3x04+fbf+18E25Nf/T133s735+eb621bj94QC8XuqqLuQ+dw8Xl2+gPhncXB92ltVM33v6onSROsJxPbETKCwB4Bi+cpll7sDTZ3zucTjMFSQqowv40n8dnwVpcIbNiTI3txZbVuFfnpZu3tT7/zNXK1VLWTzz9LAjO81q0neQHyHWaJlE7CorJk9GaNcXtlFRIspZKUgF+1H2d/gwewZPwz4UAgHO1czUpYAkgQavgXcXO99oLs+PmYHtSTHE8rCLTDp5Coyz17nw8Jlzf3cH9B2holaDHHrUCbVFbo40JLFGUGG21wsykB/f3Xv7299o2IoGiqvpLy8tLC3Vd17W/c3dPxPiK++1F3xjvsnlhTby5uv5kq31mYeVKe+0xk67G2XLaWgoYiU0mZZVlaWyVxTAZ7u7cvwXSAAqToCYBACRr4yRtpwuLy6e3RMUPdsfjcYFggSmKY1Jw/cO3I8PCFSIIaABBPHkaArMPIShNcRJRCB+/8db2m+/svvvuG9/4+uHu/Y+Kw32s1cZS6+wpWu72zqy1Lq9tfPFJe2phWOexTpZ1OpjBenvhgw9uDuv2uwe89fTTf/PXfvnJ0ys7L715zrSWPX7x/Kl/51d/8q+/8MTPbK3o0S1VTSBbPFo6//VR9VZR7IXSd7JARju4sno69pLPxlFmufGKQYNiD6Tt6pkzcx+m88JElCSkUrK9TugsFiadCruUsiXt3N7rb31jrPYuPrv1+LNXKJJRMV3Y2Ei7/eAYG6zGeSjKWEGkmKQx6JUiREAFSRah1S4IkwXAT8kA05/g03ISIgAQEJJiHxQDU2CZZ1kMIARw6tSp99+5Q7j80fV7Js6MSefzvPH27u3pH/zeD6/fuGmseezi5hc+e15RpHAetVMIHgO301hHMTehKYpIdZd7ve0bH91cW7rymXOl892s00q9a8NR2dzd3RnNZ6zNnXv319YvTWf45vu7Wxc6AMhNkxfDsrltOUg9f+zymYWF7ng+HB/vNRoGCwvbu+NubI/u39s4e972USeZQmJFrClwQKXQhjNPnP/wnVceHOzcvR8/+ez50tfOhTRO3Gg4G93rZReOKxdpK9IgCoFIYABRhEjU1E03SbJBf28+HWi1vrhpLaRxlsRxGtt8PlUC1lBe+dl43FrJiqYpqnJ3Z7dVlVVz0Ohkd6L2crz01LmE6s9eOjs43crThob5RWufuHL+t1/9Zmh3YzcOft5ZOz9p9w8i9VF9tGmj3Pvjet5utaZFhQllrQwQEAgCE6JGpZXpLaw6oLzKpxAloV5Cn/a6FrBjY4iXpB0bnkyP3188e/qpa2dawex8dAs199Y2WkvLvvboJIxmMJ5n3i8miXKNAokgbVDIICkpqxJQH+d5p+EMSOCRdhn9s/hUkBABlAhoE2tlJSAwnUxM5EUzHo22Ngfnzl15543td69fn1Wq31aeeF7X1qS7h7PRD97u9xcnh8UPjz64cma9Y1shfzCvSlKag+eqjmKOokgraKrCiCy10z/4jb+/s/P41aeeO7117fELp95z8yjdmuXTm7uTrVOD9269djiyDcWvv3/n7TtFVdVS1/l0mKlwaes0NcV87/j85TOrW+uhS/d37rfilm+axCT7d+4VV8akkyRtNXUtREprQeXYEzet5cGFq1dfO9y9ffv+hcuraBl8lWWSUPHhm9974nMbRoiUAdQAzCwAggAcgoQgAOPGtS6eXfj88+esOp3QzT/+ZrIzuTu8awTFO/alJhdBKjpTA5+pzkzgPpQ/8dPPbPY7f/S737txez/tdd9//+UFap7rLk+i7NK187BzlCrLMllcUVOvV/YPtOpmCb5b+Nalsw9uzDnQ4yh5NcsWey/fvOmuPbayvllUTYtQTqIFRAXHi4trWkcHh3tbj13rnD7jkljmRc8eb/rj0fHBg/ndYXn/whNPXfvs41qK1/7oBwjJ4089Tp3FJqjUmOpge/RgR+piabE9yExTiNZGowVlBEQpVJFiCWmrbUwCD+OxP034dJBQBABIWHNQPpAlY6OEIUlS+PrXv/ryS3t/5Vd+bfP0tdfe/o7JMpVEzotKIm1UkLrxtWs4jnvgJt/82h99+cWVbiTMDRI45whVOS8khNja2OpIN600urK1ee+Ddz58+52trWfaqc5nvsFYaOmfffP9jY3BfKJDM2m0by+e6S2fbppm7/79yfSg36GFZKBUxvPize+9s3WYX/v8UxXz/MGonbSrCv2snO4MTdyuXTNYXfMIgZCUCQwMSVPyY098bvu9O8O968dDt3FmIS/vKZ53kujG/q1QHVtMKu/FMCIACpyMSKIQoA56RjKO+NSv/OIac33/XvnOh/nk7hxoKeu6Mm/FqaUaQ8zU2T+ando69+47r3DN/Sj66P0bDw7L+cxdenYTF+vpvZv9drKU9QSkWUpqydzksNvin1258EK2/LXXPnrr9q3YduZt7eK4PVhqKxkeH/Q3L3NqNi5e6PSWgI0jr1ApsBiAvVtbXG/beDI6KoWauM9ZeyFyLj9++7f+q+b1l6Jmf7CWXX38DDl7/+27oUqufvbZqNuqbSs4g4DTe7vzJk86VKkyV4ETzTrBqIUeQIAUAEoQidNMR1Y+Ze9BgE8JCR/aagMABxaPTS7b+8P3rt+7eP6xi+d/8j/8D/7e4eHvP//c506dv7S990ACJ5Fp3EjpGCia58XiYtLJWr7sHI5uTmblStb2vglCSORDyLIsyuL55AgobaWtdhrHJl5ZPD865vHBzn4+b0xnr5hinJw5sxV32qjTXiuMGwJnJ1WDoGZOWCeosClqKmbGwsrS8nD78LVvvfz0F5/cnYd6Wg0nE1Tx/Xt3opXeZNYMlldI2SDkBEoJCcR1WbZ7KxvnHx+N9t568/rSyudNa2F/b7Sxcu1wXFXD/XR5uQmVCDKfeEojAJBSJFI1RYUUxESd3qEvxOrO5loxvFdgf7szcEMKqik09PUCqx631Eav98STT80+erN4/97d7b3rhwePPX724sXF7qkELi+1K1BKvMN5Me+c3kxwOYlZzybLocgunbdDeOvB3TLbrBJzlKT3yzknXTZRuTS49KXPeUUxhyB5SYI6FpvURfBarT125fUfvVSH0qwsgXKj/ds/fPmHCdZbYVLZMu50osjMd4cWus//5BMSB2ZSQZII3NGDOh+1OtZy1zsPCBbyk2BhAlRKJFBkNdD0eDLtdxMEJY96S+JfxKeDhIAoIkYDAkc23rl/9NJbbwRKvn79hy+++CsvfObFr3/jjY9vzxZWOlkSowMFLkIHQmQTl+N4UnFTt6JLGK2Vfky6naTYSKMijSTGACoOSoxBbqTVA43V8AgXo+W1rfbeeHS31ECiU9tdSISgDCCCZVVVAuJrTdazVCxBJ3EUU5jXYV43fjHtjnYOvv5bv/fZFz67fu70QXUTa7V9cO+8eXJ1aeVwf49sa2FlvXGNNZE0DCrxgGeeeeat91+7ef/j87fHF69tjPfG7OaSw/hgd23zcsBgQgY+8CfCEBYUZq+aINQLVtV8pBppqlZTxgmqdO3o7Jl2zbKUSC8j3atIt7Os24PVZPZg/yO4cun99+/01heee2HdZvNBe1EN0gynh+Pq8HCeILXZx92N+PTjVN6pIV82iw/ulOn1bV+15w0fenirJFsbOJq1rjx+6jPP5OIT72IMlXYck69CP42SOFs6vem+lctkp0rLj77+Sj0ZLkZ6lUPCda7V8sZZN53WTbV8+kJIMSBYUeQdYD49vp20OI0l4ZaoKAqTyI+s4SChVkEAmK2NmKjWpJQaANCnYobwn8engoQnFwxkhixrHY9Gt++M4sQG6B5Vk3/yG7+9eframVMX7t07TNIsTbSrvLKYxVFAiq2dc3V4OPEZqX5OVAI58NOmKbyCxleBfaudxNZy4ODq4Liu5klqgIvx0YO4AxUzaO2giaythb3zjbDSOnBtrQ1KaSKtSIMYhYTCzhOLDliOJnEUjav5K6+99fjTz3QXl3c/3m6C+vijj651PuNDACeunFmtXF0HtsYmeV51+hvr554eHtdf/+Gte/fHR6ORj4NdPa/RRALHIAORh25+SCLCHFDY6Ig8N1z7co4tMVp5F9KordZOD37hZywmhcZMpcHLfRzFaSSzYUu1eoPNX3/lBx/tD3/tC5+7cGoj6bGkjdL2w1dvrCxutlvxnP3HH1xvt6en1xYLp2RVkohpZ259Ptvetp21M5vnph+80ULcvnv/saefWFpa1WTZK81ZRA4qxbU0oz3VU8+vLt8gfvDS92wnHWhZaGd1U+vGx3GWxboWOq5C//QZMm3REaKHwMxVPtq3VlAHYJfYpGryBjwkPW9SH9qCtU7Bu7rBKgVK40QZBfDpIiDAp4SED4FA3oU0iZ79zNOq2xlP6OaNvZdevnnn3o0k63X6vcZxZMAYYxQkVgVBLdBUnKRJ1oqLqi6Kg9oBiA6+FGVD8KTUfDZntnGUeEMATpEQO4uSGMVujnGrzEPeNIudticqQ6iYSdsguTYGlPLO+aZEEIWsgJPIBGZXNQlETe5W2v3Dcf7qy2+tnb1gKILAo939ajLP2oOD4fDW7VtPPfVEnJggEuo6s6mK4zjufnTr8C//6q9e+8KXnXOm3VadQZ32h5VVJgvcIAIDIiIgCIsPQRGSknk+3Nt/0NoaLGimwAmbuZBbXRHVPsorcelCUzU4tzrL6vnCtpzZeOH//N1/7DA5tbzc1lU5vJNA796dwxZjnyBMplFClOdvvv6HrZ/84ryefDyarPWXy0qdXtg4anB0tD9VJmm3h0ezGWIyWCQbc5DgxGEUgmig3bsfv/ftP1qmSXP/3WVVXj1/OnVFG9iXM8Nek3KoRvM6i3vxyqkmylQcO0RmrcE1TVHMx6stlc9GElgBh3oGsQ3pAFQbQ9vVh5UvHUFqNLgQaifhX/Ya/Z+FR5qED4226aEoXpBCYB3ZpNvKqVpdba1vXl3f2vh7//CPDke7aHTtMQmxoBfwSrFCixCaxvX66dLy8vgQiqpUJgOthBiRtVHOOa2VjeOyrLTVQnXd1J2OVeSspooDAzKgkNI2CgyARMbEactGVYMELL6p67IgCJFGTQIcjFbO+cb7VEXsoLH9bPN0A3FdYKKzw53RaG+cxP00SRnk+nvvPvPMNeUqrQwX1fe+/oe/8zt/SCp68cu/VF/64nwyzSL0TQPB6JwSG4tqTtJrWTiIBBDSKoRmXow6Ka+upwflQVfQQkhrn7nAjlE41E4JL7DoVkQuDCpus908d83cfPv+9g9u7W33B7jc5Z2bN/IZXzjzuNQNaytJfPr0mf0791767vef/fKXf+t3b2p/d2vzWqBpElcpzPa2Pwo6TUCiwSDpdkTEEGkApzRrMrH68OP3b91+fypH+Z03fu6xLTQVonPBUaoQoZyHw+M6OrN17tnPF52+2DhIINQg2FTlfDqJkyRwvb99YLNFYS7zqWDvRx/dmlUWc+gP/Dyae1P9wmCwSBo8AymAR1+m9i/ikSbhCeTEe00ISWttRULgWqhqmoo4XH58a+vc4uvvvmniVqvTKQNnEXpwATwicQAb63av7YKrqrC+ubG2lgXeT7KUkZmVjWwcR6jAOZ83jQdgQkY8seojsiIgglprpTQAeu+TKImSDGjIJ8URZglBgcQKIXhAIaPFOTKpVoYiPRlOW/9f9v7zx7ZtPe/ERh4zr7xWrcq7aud0cg68+V4GXUmUKIoKEGULarfVaLhhwA3YaBgwDNiw0Q3b3YDa7iSp2RKlFpMokdTNvPmefPbeZ8fau3LVqpXXzHNEfzhXklvwlxZAkBvg8xdMYL2/9c4x5vs+T733xpd/4XDxD5/c3VlfW3n/vduNpY1UVp1OZzZSP/rWt1944YVM6N/9rX/2vR9+kAPvystvO62lw7Sw3FmUcw8ZD+JerRZPirmrACUQAmMsxIgSLKsqK5KsmIzODpgDVEgXi7LmWGDFKgZhkcvF5LLvSJUBVYVQnu0e60rFffcfPP7w9+Mp63T++b2HMlp+0e/eORkLzWYH89WgHa6t/eHd+/Px6eWV8+U8+7Vv3f/o2AElKgJi2itQTGQ6o1KWDhC68gi6+cwNlxLXQhdYZSoCVDafvfHysy+u1dXpne/9xid+yxNGIaM0MI7nTON5UsqCBC9+5ism6ipMA9eD8ZwQVikDlOCUMoep+czoWmnowb1bbQ6lIb///d1MoMvd3ts/+xW+5R6Md5zmEIDU4x75NCH0qSIQPBUQ/ushXAQxxhhYbaxACGCIIIG3Pvpgf3/vldeeiVN2NlqEIXcx0lgjaoT4dG207vqsqBaTecE9Szm3FayqHLoIWFJVCmHEEKGEWIyFNcJ8up5ADaQIYWSsNYYRh2FCMURAE+pIbYXUkGBKmUQ5hJZR4lBcZKkLTSHLTAuDGYT4bDZCK6vf29mJXo7/0n/8f/j1v/vfznYeyLx4tLO3df3ynQc7F9aWGlHtez/6YHA2Hs/y66+8ndPo5md/fuZ2apVksIJMmCo5eXJ09zi9cvkFUmsrI4C1BoBPY084JdAlNeaYxB6fPkGgVsNBYbLSlV0Hifv3q/s7jc3GqcpgoQhF66lpev6RTv6L3//Nfddf7W/++HQX7maDMnnhxV/84M4n7z7Yv9IPZDr5+1+/0+J2JnxU7/1n//wbgtY6XnP25J5e6eSMQeCQqpyimW/hz3/h55576TlDERQGGesaC7QkQGslbz737KP48VqvWyHLCebcV3k+TpK4qKAb9Zave0trwG8ACLI05ckcMkcaUM1nfuQ6UfTOH777zd//0fjwxE2zv/CZi/3VrfbmsR5r7nXmpb158aK71agl74HyCaASYfy0jawB8Cccwk/nHiwACBgIgDFGG2uhRRAYKRkL4rn57h/eDr017naaYRhPF4vpJHS6UjsGwcrkkUsjK7Gmec4X8zNi5uNjp9PlqhLIOAgwDLAscgQYhg7nAWGxMlYb3+LEktyCsIIU6TTAlhAPUOYU0zqomHEoBJZiQCCwBgPjEeo7kVSlS6CRSgl5nA2J63YubN47W2ROQ/Igc4Kv/J3/8Ce/8w9/8Pu//dG9B9vn1qrD3f14lEj5zu2jL/3ZX77SaFy88mxYb0sDgEsHB49+//d+g8DpYnY0mU6H0+pnv/rLL/+ZvzUsiIAc6YKC3DJaMud4XhydPCZqWGvaKh54aJl6tNvrSD1LP/7DSEr14DFMJi2v4SdVk4ekXhtzGHW6DY2KRTks6dfuT3/8eLZ+JHIpjgYj+M5ZLKys+1qVn8z3oDnWph4qkqbxvIzby06zGfGyezaeb3cu/p1f/ZuvXb+p90+WpM0ni2yabLab+ye769trJ/s7i5OdJ9/6zibzycmk3ukWSTqdTiEmS90ljSLeXUatZmErDmEyOklO95fWV0SeW229zuYH3/7+//s//3t2lm/UOg5zydJl5DW22zU9PRPF7HT33rP5TeZYhaYVsLn0icH4p/YW/7obwj/5s5l/oiEE4N8kzH06GK8tsMACYwAEhDdu/eh2WXADvSITnpu1a+7JyV6/s6QxFcoAyFzfNWoWz9NFjJUxrXodaq5QxhjBwFGKGZ0TYghFVSGthphqrbXWFDGrUalUICjXek4xpcyrDDJl5UFFjM8QEghqCxCCBFgGIcWO0RIgyKyRyQxi3l9efbJzhGvtz3/hS4NksfPuj9bOX37zr/yS261983e+9k//ye/M9u6lVutO73/5t//3l156/evvvnejs37n3fd/95/8D66LaGk9kFM46ajpWsdN2v5k9yd08uVW49JhjqiBVkuAibI0LQuoKkwEBiWdTpVAVKPpZE6jEhRJiSGuNI8XLmFUChnPStnIGnVLSa/TGu6O57GpvHBWFjt3HgEEue+W2kKCyizXyM6ECDCi2iDIBZC5LCLf8SB2HAcv9/+Tf+8/2FrueUWixkNnNrJZbheL6pSHUokyW8IyHxzVFGi5Ya0enJ6MD09OG+2uUlDbeiXo2sYmchhMk9ODA5TMe41wtP/Yq0W15XPf/93f+8//7/9FA7u9tc1QSKjJIAcff+9HMJn2XA2gObj/sBjE3RuNTAqIuBssY+KCf+Ux82/X0J9g/YmHEAAAgAUIAIAwxQQDjbQx2HGzjJycxRaxtMwdDydiwXxaqzWVUlIprbQxmjM2Ks3pcL6IDSfkrc+/vXGxkvmpX3NFahEwrkOZjyE0EGlCIKPMVsZYxTizoDLQAGg1sNRhiECkLaKYubSU2iDMXF9jp4pjZC1GQFrhUSJFuZjMGPGWVtYHh+PJcP7s658rXTSGWdBZ+vDhe+liRfidv/4f/MfDWx/91//p/3ntytWrn/3ilVffevBoNwybDnG+941v/dav/UNK9Ybf/LNffH1rpamyEmHQ5Ww4n/3ef/2fvfGX/tba1o1ZURlFkHWcyqx4ujBZMp9gkMO4jABqGiYBYJj7IUXIEABc7mFKXeyyAOeQwEpxAEQ65/VWugASFkhXAXWNFlyZRjcSVdlpLK8uLR0eHp7NFjEsFxgmsty6duXK+cvFLD58PLzeXfuZmxs6mcF04dDCrRJPVXUiQVX0o3qlUmDM6PR0EcdC4TtZ+ujBY4Q5SeeTyQLjASSgvrPHekuWOul43GkGbp0hZC5duHT4zffu3Hn4C5/74ve/9k1T5QCz2XT24x/8wCJLmMsdHyE3T9KdR6fNy5etoRBCawzC/7/LhE+NngoI4U8z5iACECsDOMaM+bu786IElPkyL0S6CGsOxGjr3HaeF9ZYCGBRCq1tKaRBxCDNA/7g8cPlll1vm7LMCfYxAMooCwyECCILoWUEW4U+9ZCAFGFCDLAAA9dzLbCEEIQRxtAipCF2/JowsCwFAbDTqHOX55PpbDqN/Lpbrz/aPUopxVcuJG1/ruIFyDu1dbU7392v5mfJdm+TEIYJv3D52tL6ZlLaRwfDm6++HCdpGcdNRqFWxfz09vvfXas93whIXiwYR5sd/3R4/Pv/7f9x42d+9vxrn+NhVxSFKCuQD4jOjBbtRtNyoAcZyHSdBTKpMDRSlFJLrYQEkFUWlCbBfO5RVyFHCIW1kjlSSQDLJiWdZrTUaT7z/HPv/uAHl5eXNpeWz0L6ZDI+y7Mng+ylK69ee+31wSIej+bN/nKZF7/2a3/vL//CV0KGaSWZLGWSZosFdnkYkKwsZ1l8cHp4Op+KucgxUO3m4f5gY21pMkyrTFBmj+89zD66zwHBldz6+c8HXuP05PBs9/T2R3cunr/65mtvDu492rl71+l0o3odEaukLCpRFJoRwGHw0Tv3rr61gQ1QRud55SqIn4qK/p/q6XhkCz8N5gVCKqQ1ANBC8Gjn4enpSS79UjHmuvPZvB61rYUYUSmVsabICikkZUzpvNnqeBy9+95755d6mz2W5wVH1BgkVGmRYi6z1mKErNUYI4ggJMhiIKWqjDHYct+10GIMEUYYwbSqIGOYu1bYqhKR5zZDT8lyOJlc2tzGjN/a3TN+sKOyztW1uOFURG/2V8Y7j/vUbTTbd8fTuot3Tg5wmXUD3yNwMBgzv1FrtqssxbqiSnCkn3lp/eJW32nS0ghcC6lf5170bA+q+/d2f/Sb9x999PrP/ZVeb3Nw+iRLj2Ca2lnOec0jIZL5yd5ekEqtJdDKKIGwRRi4lGuNk1LmrTaqN6WydcharXC1fWlw/+MWBuca/sXV/hsvvnByePjmSqvn4j6Rq52whoqJJC9dfYm3V2ZFRRHLjcU1j0Tu3/3Hv/niq6+/sLH2+OHjSMoI0azSxsROFAFovMDbvHLp5S9/TlF1f/fu7pPD3dPBc6+/uLw++vEP3/M4IyTyC6GT/Ks/+5U3335zwZWICxHLrf65xWD6znd/+Jm33hwe7c2T+fJSvyxzo60WliKipCCKDI/P8jRp1Si2xPdriDh/3KX676KnAsJPbdIAQJ96hzoWoMV8Opsc9Jei3YOCQl4L6ov5ZD5NkkSHfkgpj+OFMVYIBa3xfd7rdWdng421Dd+jQElgkTXIWgwsQohBSK1RGEPH5eVCSS0RhkJLBQ1kFCDIHAYRYIxQh3Nup2nuBPVKA2WsNZZjlEzGOai2z18wmH28u594fKTllS/8THhuWedli/LT7793ejDaWr6w/Ho/8D0o5NnBUTOodeotC/DjJwdXnn3ZagO0BLqIPPv2q89sX2l2WpHr0OOjab3ZGyx0fDKs8nh+dnrpytWPT4ZHn3xy48ql8UFydPcxLPNt7tcGugOCRs0b49l8PmEEU2CVkNxlBtqy0o2lFViPFjX/G08exoHbDJq804IevLT8hh4ebkReDcHx4HRjZb3lhzpP3ntwN5PVc2+8yReLCaLNbl1W4MGTw1qjBRi+fftDHtS/e+vuuz/84WcuXezWayF3EWbzeIYNi2qhJagaWQv4eBqXhVpZWhP5920lt1fX7pAPsnlsIUIMv/3WW2+9+RaQFgpdLsqT45OV5fWDx3suoRdef/FLP/fFb/yLf1mUJSbMcZjnWCWUkspRMJPlwf7jpechtsQSB6I/hfCPSvanIU2YEcJkWbgIuy774hdeDOrnJwvvN3/7B6eDWafZS/IyBXMhJWW8KivX9dI0w8g0ax40WlZVr93juGAIY68GFNeGAwwcjhDDZZZZYwnGSsmyKlmAgygYzzQgwA1cygl2OOccpphSAAnGzLGUYQgtxFabNJ0+d/MKAOjDu/dht31Spec/98b1559ns3R3/2h8eBoFzTTV+/cefeEv/cXDcTKL5WwhHa9da61+/cOH5y+/0V/qLao4j2fj8emFiytXrm7WvcxDUlVqPJy998HudGGPzxaaeX/2tWdev/g6ItPTqf3g3dsqXVyLVhwiIwPmRxNq5h5kAeNlp7XRXyrn8yKLO8s9jU0el6DZOsDq//q13/5huQj6axsIesA63G33e4LAeuCthOHdDz74r/7hbxdKA6RbS60/9xd+cYDpgpujYj4c71veibPibDCtREFLS1z2te98I3m8c/Xv/Pu9TltB4DFnHEMBBcszyBFJjXZKnemQdDuNTi9cPbx3+NoLr/ztv/K3/vt/8N/vDU7+4q/+5YDzTx7dv7yxvXP7ns6VUHYynnLm9LpdyujVG9eO9/YffvKw1eyEXpinuYXWWEkx1CrbeXT3pec9JUVVKQ6finr+t/VUPPSn3qPGmFRajSwCViNQNusRcjI9TXb3PxE6FEh2+8shxFVuiRNodESpLUXuORG0qBILAItkYaoCamsNghQTZpkmUCMBjIZSa11SPwgaAceS6qJZr58uTFzJIKgFfqQQphAbYIy2nLiWBsIgR2QsGefZ4rWX3yRZ/u69u8Hq8u2zoxe/8JnLzzx770c/CGZTXKptL3h0cOq0z33+L/wK8raBO94/PoyTKWHOg91jr7v00ltvF0WBYH7n/W9V873LXa/GbVrOvHoncOudpZVJTBdxutbvvPHnf/a1a9fLtGw1bafNf/iHv7620tQjs9Lf8hXnk8XZ4Rnt9UPfpZ7T3lo/PiIscZrr68AB+7t7Yy7Vcu/uZAL8EFZINbhTq1NIAPW8/vrucDAQ6cRvn0Zrk3nCOfG653eKAAHgB41Glw5mCyULATNL83g2ttpkACQHx6sWokqeW1+fnxxCrSmwlFHIicIAe14Q1mZaLPJFP/Kilebh7OhydfGtFz77V//WX9s92Gs1Gt//9neeu3pzlMbEd/Ojamv5/Nrqyo9+8v28KACAjUb7tdd/Jo3l/YdPfC+v16KyygkwSGRWo/isUhlxeYUwBNp5Oir6f6qn4JF/+qEHAoiAAfZTS1etpMYVtkWyWFgtw1qtNOXe0Z7vLQOIGXcdjzMqMUZCaC/wssXED6lUlYWOlEKJ3EiApamgELZwPQdRZADUiELHQ7hSOteUWo/JeI4I9V0/VsAaTTB0GJktEi+iUOvHd2/jMnn5lZf2T88OD/ZXL2zfevLoxVdf6dfa7/7WH4RW91vB3vRoNz5Zf+ntxnNvy2vnhlavNfof/+H3aFn0Wm2IyFuf/ax1cDLPm75dHD1+/frlvg8IAhBziFxM3Os3n6HOaau1wDRYXe2i0BtMJ2fJIBsOV0NzoRt+8+vfPDo8+szzbzuNaEkbY4Hrc1tVR6f7pTUA2r29XRSigkHTrJ2UucLMAW6d15QB0EKf0Pk8CRisL6+NJtOhsXPuljWCOZ8DNpXQYaSodODXopA8OdovipRwSDgyGsWxbdabxWz0cHiaWk0jX6Y5qBHW9TF3iqoQ1rr1wMzPPE6a7ai/2v7g3b1ZOcuq+drWqhuw3/4ff2s+HJ3Uj7a3txZZPBie1rvN/ZPHb332Nc9jft0tsvjSi880et1f//V/Op7MXv3sm/FkPDw5NJOzg+P5eDgtchTWqOM44E874R+ZPr0cxRC6jBKkDYQYQY6wBRincdptdZvdDRa4D/d3Do9POQqjyK/XG0rOgSUWaAAqbcTW5iqXY4Sl1QoCA4DSVkokFFIKKUggAohCLCASAGoEUylzgxh3XMezACAIGUaEEIciB5synRwPFlgUn3njjePdxztHh/XtzVtHh921zSoVB3cer4fNRTb/1v1H9dXW1c+/invLD6ZP1Ifpl17+hdVOa0T4YDy/9MIrbKUvEZxVqR/So3sfnt29T0w+CVHR9RkKxid5s+Ml2b6Wam29tXnuUukF0/lkb7THa8Qj7krDv/Wdd7defUsl1b/84IPXL99gIVfJwiHWlLKsSicIKXEwRrTBAff+wfff3bFGEp4Lw7OyGQSqEpaQqBHVI48Q9Ojg6Gw+UxRIZYGHnUZQIOv4ruu5DmPD0VBVqhm1xrOZSEtMKHOieTqVQD+MJ4fJZJ1xbXVOJGmHqiisVBDIKl1U08n0cFesrVw+d+72++9KWWZlijRUpYx8r7G9tbbSpxTNZxO3hjVPk3iRSb/bWn+w836n20qGCxYG//7/9m/P50mn3QPGPLr1kWfha8Lc2v+GEwhhoJSGaPv/5zPhn3j9SR8mAACATxPpLQDQwRhKlWulIeQKWFlWuztPKMSLeTyeTFutjlLq7Owsz3JCMACQMkoxglYGkYc5ifMkTWLPcbnDiEOYSx2Pe5FHPSaBolpwq7ARWmaUWKMKLXKMieO61gJKKKOUU4qBUUV89PCeq8SX33h1eHQ4OBuurZ072DmCCrebvXq9RZnz5PGTkVYX/8xXrn3p85VDRZa9vrZxNVP77/241apHnACrSMMHoVdrd6wRUOd7dz7U4zOYLEYnx0eDQa+z6bNWMsvPTodGlI2Iy3KezOZC5paq2w8+UqqEufzyZ3/+ra/+0vNf/MqRFD9+8kgG1DgoqTLmsPWNZa3LQqTNfjvqtB/OJv/gD7/7jY9vpQZZRBhjFqHDw/0H9+7N50layKPhFAdhiSDlPPJ9ThkESAlFEVPC5llaVVVVCAiIqjRCaDGbodLUWAAtXF1Z3VpdDzB3JGgFoclLk+SoEI4werKAcbYS1ttB2G7UO9024YRw7HouhshoNR6d1erhcHwKsYFMCBhPk6PKzLNqpGE8GO6MZvv3n3z85OC+F7KsmGfprJAFCcJ2p9WsMaHLVBpL3J/mET5telo6oQaGAkWlVBhKCJAB2FIMLKmUmc9jyz2R20JXruNIDqezqeeHjsMRpFKWGOJavZbmebyItXaRJQAigBDCBCNjjGaQaIAIgEWaa+PneboUuEAqKLEClnHPGksJslLWAh+KyeMH96LuxZeeufmT73xzPj7duHzlJ+/e8i3pdroHD3bmRWYQIIwse/zo997ZJYViyq3X3efRUmfzsMyGZ3vJYhy0w5FItuqRVwKijSkWZ7sPNpYaKwzmthwjgQFhmM/n4631zUJWo8FZWR2vX38byoroqt9uREFUi/rcW/rWj947Gwxyxk6KTDrMCQNcSlVZi4CQBbJQQggwPcpz22sJSCoFsFJplglqKNCNWnOyWFTaLLKkMBXkbrMGOWIUEwcykZYyEIVUmCmplBfWHuzsDccjx/VCYPQ05VgHkH72ys3BrYf0aFDDtNTV6cEozzIAgUYQMoKNyrJFkWb1eiNqNJS1QkrPC86GZxbayXwCOVy/sHU0PW7w2tHJ7sb6SqsdOA5sRK3JeDgcnU3meRInq/1VAniWF8hAIWBejKlKGQHWq7GgDrQF9I+7Wv/n6+mBEAAAGAAWAIkQxry2MHE7rK9vnd892OU1H9edUor9h6MwDMuizHPc6fhSQpVVCGDGneFoJKRl1JOlzrVEBtNSVKCyRjAFPcMWIJxD12luYMcTTM+LGSIdTA0ESFSy2fBlluuq+uiD99bWN67efPl3f+efLc4G9VrwB9/8vjL4XK12sn/ot6NLW+fORmeFLPFw7s+VYAUI4NnB+HfuHb30s7/w8s/8PJ5N88kIIuu4Tp+H8+/cWr26fjg+KqZnNaonyWz13OaNa5f3b+/u3H9gkE7zlLsewM6F7Wudpe7Ht9+tM7i8sl6UkNZXcXsjf3D4G7/xO4zhly9flphUGtTDhsJiNls0Gi2GeSZ0lcsffHz7YD71ml3X93SulK4gQI1mo1BKp6kCVFmUF9JayDwXWmQRxi6nnj+aL5b7K6fDR4usOB0n2HG9Wj3LZ4BCgHOVZ3UEjz+8vb2+OTkdGuYiwtIi93zfMtLbWsfNGoD2ww/fVRoE7SbmXpZXtXqHapSrEjL8K3/zr29fOW+sCJfqLbfen7cIhu1aU4vi7Pjk/ie3CXV9vymLQsSpNvL40b4oKsgAq1QIFENwri1Uhv0xF+q/o54KCMFP95kAttZaqK01QltF2Tyr3DAqRWVkCaRotTr9Pjk+GFNKx+Nxs8EhYgRhjLCSVmlgAdYGEugoDSnCmHBmgdLKlhoW6DRnHx7n1f5B5CMHJbOYEW81dOeMUYhYlubpbHz7wz989WLfjZr/6B/9ehariLDZLMZOQLnrdaJuPbp4+cLh/i6M0ytLvazQY17WEOwx//lz13/4cPfo2+/9+bd/0aYJWCRYKR/T+OHh6A8P4WL84eDdKotzVjCGlFF5nD77zNXVfmdn9/H+wRFmXhB2junweJpl8TiZntYa9ai3FSxtZIrcuHj5l3/pl772za8lWVEK7RgEETFGzqYLP/QVARqyStqT8RQ5xCKgRIksgNhQBy+KeKm+BC0tK1lWpet72qpRNo/TtFlruhzHQJV5MXz8UFcjiBggZDyaZ3lqrJRlAmDiOvala8+M9vdPAb565erk+JQCjn0mMHAadXdlxYY8mc0I85gX+vVmu7t0un8ihOG+t8iS/tpqf32lFMXJ6OTj+7f7vaZL4dHBybn+8snRMUPguevPNRvNJKn2D8fHO3tXLj/X8GqzdMItpQg3OCOwKKXmFgH8VByv/m09DRBagi3QuECGOLwZUPHhO9UfvP/9N756bbU1qUdbqW4ZlZg5OtirIr+BIhdoEc/MaJ61a9bQUmu3mh9wWoFaf5TuG9JtgLqxRlmptfG9JsKwtIvWhc6Npa/ulDpPD+ePp0bOi7LE1j09k/2Gg+VkfPf21XMXp3n5nR/9aG15rbvKZV5kWXLB9x3XIVZe3N5Mp3OdVRfPbeoyxjpr+BQhUgVB5YcXr1y7t/PkB3/vt7bXNiqbrjej7lGc73zUX+rDciKf7K0SDlQWV6UazgQJWrWwv9leOdc6PFwZnMxu33o8OD7r37zBKFe8kdjwtVc+b5zak4OzwWyskd9obExGQ2AchwNTlJiQ9sq6B4wrKhTww3qgQo9kaa64xczhsqwSOwWOEy1AkeZTzw/a7ZYyNkuELgk1PseBKHWyGDncmc9n7RDnososEQQLYBjQSEnjdMzwsFOO3r60+Z1v/aPJ57+wfvUFJ3MdatMHDyMUpA0jTBX5dR41EqlJZTY6q0/evz9N06jdBRpOk7M8H5RVsru7G3pOPC8lYYRGZaWjWl2KzI3co9Pj2SIrNEhiuS63prNJnuTSy7VMlK6w1g3Pp9wD5E8h/KPSp6EUxgJMiLt/7+j9947nC/Qvf++dK5vg5sUl13U7W50nu4Mi12U2TIq8FoVR1FwsylZYAxBVUi/ymVtnvl/r9Zcwg0oiYDXCllFKOIVIFXGWcbJ5/Y1O1EJmqg9LTovDsyR+shsPD+bjQTzYPbe6NJ8MJ/P42vUXsFGn+/u+4yyvLAECMbQ+C/afPIIQL/e7aTItrLRQu66nCa04m0p1No33Tob55CdUmzRPrm5dsvOsygtvfcVwi3URMJzm+uj0bDA6/fLPdZDvA4+enp4Cx3vurevXX/vC++9+fP/0tBJiNB6/8dkvJhoc7Dw+Hs2enBxUlT4eDEmcAAAp48f3HzaY5/V7OpmX6aIUBWzVO42GfnRAG6gQUhLNMK4FdaHR4fFp2IiwxzJZLSbTKi+qSvf6fVFVSiZJEruu47pOWhaztFhUkDs+9lwxGocW6Gm+gmyDFe2OefNzN37ta//8bafe7WyHjtPcXvF6DdsKbC4IJvNi7plGA+vl5Q7nOE4m0iwnVXzpynkv4slwlBfx9etXtUA//N4Pr1zeWl7uL2bo5Hg6Gg+rQkRRVMwWVVkyxiywohIqL62REBloADAWIvR0zW3/az0VEIKfRq9ajACbz+PZTDS7FzKIDp+cueBRvY7Gp+NsJiMnsrDI8nwynF27cmkxOUsT6/ne2XDmhn5Ua+Qzow0URVVlGaQIWCiN0CanrqXcorGMT/dm6lSnJySjoK7HFrZdX1E2Wyw2VleePLqTJTPHDw53HhshXYYJAtqI5eUVDMHs9CwM3VoQHR8dBIHb6XQmfB51u1llFXYqwA5PJiens8sv38xFjCByCFdCuU4wHBxbZYty6nu21WueTs+e3Vi+dOMZhdneaPrgyQlArPCWms1afX3TTSY6NwKA+7v7P37w90rLNaFJkU8m87PhsEeZEAK7PFvEuhjTvBBVSnQGW3WYJXi+CCsNACqVYK4Doc7TapbmwmiToURWoR8ArQmjHNM4SxACWZoZo4AEWZVjAuNCAMgXgzNWJCSedzhelublyysvP9t3u/r61oXzD47Wu8vn/9KfOdi7V82ylJNE5JjCQBRrV1bD5RpvsigPnACXxfzw8CGLSGlzYcVkMStEvrP7EChcr3vGlFWZFUXquowR7NVrSSaPD0+EoI4bRmFtsj+aDYYQjlkbAIyLsuSYAYTs0+f9+7RACA0AACEqhN7YWP0b/4tXv//w+P7+/pJ/4f6dh8LxB1NJUVeJhHDZ79bvP3iSLJK1ta1ikcaLEcJkeaUfdeuDSpRibCyCiGilIIYEYwuVVJJQ01ok9957pxRuaHMsedrIYLP2KJuNjx8FqPjonY9FlVCPl3HmkShsNuo1X+uqkqUFEkBECcJAH+3vWG2q0gpFBACDbNHsbEwm+e79u4c7J/Ww++Jzzxw8+ujcyhqzFEDYbLfzADwa3mdUQyCtBhfOb314e+eHP/ghi5zv/ej9VKhX3/wcqhc//uQn48Fgq8UApxCS+492n33jZwqLvvP97xVFBSzSqlpZWw09DxvpElxzXUw5b0SQCdIJPzh4jEbjTcL3plPi+0YIBczZ9NRtNiAFACEAQS5KYiFhPE2SvMg9z8MYSVllWUIIwcypKlnGiW+BmyZ+nryysf38En7uZmOpJfw2oFhfOrf28IP3n/8P/1cXz30GJBlKy0rPZJUmVVJb6+OmYxhUSNXawXQx4DWqYPn+Rw97S1FvaSkp8rPxWOZyvb9y8/qV2WxYlanRcjKKKeaD0WI4GK+sXAbUdSiv1UJaYAwpIRggQB0XUq4tQgA8df3wKYHw0wUxRBBGAFXL67VXOuxguqcyB1p2fmvZaYAP3r3f6fh+4E4mY870aHRaCwOrNKbUD5yyMg/evVV3NgO/hmjiuI4B2lhblJnjMMqZNtnUnt0+eLfVvdJs+URD2rI5mM4mA2LE6HR/pds2oJ5pm+UVLHMooSqhtqrRqSNCB4NBz4nGg0G+iDHGQpvJIg377XmV7p3eTwqUx1oW6qs//7PMKGpE06uhygKDvcCt/HK6N4RAYWSAVjUvuHnp/K1P7k3zajguFPW//s0Ppr/5h3Gac6T/o198/vy5S0cHk89/8ecvPf/Sxw/vTi6cO3i0d3x6ttVZ+tmfeasVOGSRE2x8N/Tq9dRWJTahQ3bv3d5g1Gl56STVWpVlhQju19tzKSEDCELXca0xRZrpsjJaA2NlVQJKILCU4LLMTVZCiwOEgqpw8tmNVvDicm1djy9scIXmRhNLbL8RPHmwO3782L1+XXK/zltt1gc6o9FiNjg9ng66yK+1mt1+N83Sk9MDqct2u9lqtBfTSZWWq0vL/W737u2Pq2qVc4wBOzk6nU6Gz1x/HiL34HDeqLXELAUWdNptJujZ2dBFEEBgEAaAPIVdEICnBkIAAEAAQKVKbZPp+IHfry2toJN3BMf+yy8+M/r2x5wnb711o7u8/rVv/GB142pZoMV0zBBv112R40ePdg/OTqmprq9jdqOlVQ6txYh4bsBdBzIgkyoGWRGaCRfZbFKOysGT/TOCNvx+mY63N/pQ5tNYJBXUltSZ8ZkNHBI1O16j8eBgd6m7JBcZ0IBYWGWlVXipvwFDN1nM7t/doU7LFOC5y9efO3/5wcff6zdqRBhqMaZMIQ09qKwCFgBrOIYutCGCkdWN9lrdhx8/Ho4meS6VkKrZcPoUhGVRnA7OdnYd5s2Hh54sewj/hb/2Vzvtzlq9jtIF0hWEcpYv5srGVsA2eP9Ht8v5tAeszLIeRTkBSldQoKIca+4IBQjC86I0RmMLlQUudzhC0FqR52VZeJ6DjQGVIQAQKUE6XfHwtW6Epoe9l/zuxejwycnB49OttV4r4KSaV0dn0fVnNHKADoQoEEFO6Lfdnhg/Hk32PJ/efPbZd975AYIaWosRpYDv7xzqQi1t9qwS169dlLKYjs+QlZyRdqthjZ4Mx7Wo0W52T/aPxoen7SD0u13H1FHgKpuVwgTGkqdj+OTf1lMEIQDAGqM4R1GDzXG6daGb3DNGGgjg0cFevYbefOtqrbn64NH92RyJymCq282GBXlRVWlWtFrdYs5Go3GVByLLLFQQMqVMJZQXOtbypuEX673dUbx/+NCpWL2HKqgfH93xUNUPlspkQZlHDCEI+7QgFIah1+l09wcDPwghgqPhkFgQhvVGiy0qlQs9OTjLje53V2/f2b2yefmrX/hyPBjUHS7yEXXrVVqKXGBRKIwAwRRyoEuOaOS4p7u7q91GY+nC7ml+dCKzShS5Dqm33V8Ww9Hjk4Vn0bvf+e7dB4/qvVo6Hb5+/ZlXLl/OsnxysFfzXWw1RkBhy13WbDZGenx8cupiSlS+4jsvdJZNkaWnMwgwBQSI0gAsitIgSCBSWhMAk7yw1lBCCEUcISsl1BqWAhpElWph1HVoL+TLNbb6Qhefq3mTiEt3cTKdDhftGl882ln+8hdKQ0RlEXMQwFpVwLDl9SucQZEMumtrjUd1z/NOdg+bzW6W5BjQRq0VeeFkcZzrDAHguZwTl6BocHq8t/tEW49RjhF1XB9CPBoNadhYvbCV6gOLc8ZdRBz41EUTAgCeFgghYMgaYM4i3llMl+7vxn/wk4Pldru/Iff3xvGCmNKut2otlxR6z9rZbLguJEJ8LKFQmQt4gep+Glcv3Fy5utnVKlVQEspNZaAF2BpVlQZpFNUWyZ3d24POMsNRFKeMwXyzDmexvvX4KKq11norXQuHo8Oq7rvhso2WBqmZl8n2pebk7H6zRwA7dzorJtUox3k8LQhzK11NhvlG1P/3vvrLTaGreIxxvtAVNd6iVIkUzYiXeTyrikaEcaEbYQsazOtsZbvNIwoYGJ3a/flo+8WLX7n5QvHOreNPZj+anXY31wNi4mzuzcGfu/7quecvkeFAHpzi8Ti4fg0YVxXYRHqyDfrPXOgcrtR/8hCmp8DJnr+4vVGh1QnbChq3J2PpIRhQvxblhTCWQKWAEDrL/JpHAdDJrFQVDlie5lSBHqWXm92LvHap4Y8G9xAvz7gMz10q2oL3fXKcYacW9Wgvnz06+ObV6m9gGuTsJEAS6q7EIaKlkSiqLy+qUSFi34vyyeTtV55dXtkYjxbjbAa0KORishg6Dl1fWlVFmccx8d3pNKt3ItdpHr5z4m1HLgh9Hg6no0VS9VfbhEiMpi58kcJNDUoCnT89E/4R6VPDaYRJcHw0+8bHnxwkNQd6566t7+8NDw4HFqBevytKI5UpElWV5TwtO2vcEqiBqUTZ6TZD3+TFwnVrCFnucmAxxFAoQajjBF4h43menk7S689db/awUsxxVp7s3s7icStoGMJKqfceP2nUok69Ph8fhLRqrPmf3P+k1Wkp5XBvZTgbnRzupwIJWBAKsWXjwWieTanyXn3hJd9ng/3HNaIdhxc5a9aa1WJea7ZVUYySU5HnKPIgsoggJbUbeu12IxGCMFOre5HP/+ov/eIbWxd/7/Z9KB2NOIT45tVrnRvbS+3mBnCkNg4AyOGFgyHXWqrUsbjbWXvxzcaVZ3eefKOQRaeFN7srnIt4VPpI1am+uNIL19fPmP3g8SNQmFJYh7BysVhtNfvLS7aorr3w8ixLjhcTzliDB19+7gVVzOaj3dWV2nYRPHn3nTdvPF8LL1Zgznv+xD0E1EZrbRouP3x3KAczvr5SSWlwSZkGUBOk8rx0ONLGIIc1O22o1flnrseTeJbMyiJzGTrY36vVvPXVpSLJZ6NxrRZZYAshzrW6g+M48KJ6VJeVsNYSzsqqTLPEaUClVVlK/+m03wZPB4TQfhoFBg2BwAUoFNJttddnceIGDTeoPXyyh6gLaTCbZJbA8Ul5584H2HOgH7Q7LUbp/GzCUdDvrovhYDodMIcrhY2Ejuc4nFFGgNVay7Bee+GVq9MhL8RoPptbU1EG1zorlbSJEBQaFoVVVRw+OQk42p3fP9zbYb7vR8F0r1SAjjPq1JuOJXk+Hxwfnh0c+3Xn4rlVW5LDw4ffEvmXX3+ZVGmRx74fQACN1FAbIGQ+W0yPj9Z6W5RC5jGRVtzlLueFKi2UzIFbq71zrRauivWN/v4nMWNQS8UgbgSBz5iYp3leOohxjtyGW7mG1HD7pYvOpecaz79tc3syWgiUtbeCG8+fO36w2zR6nKXMps9eenH7pdd/5i/8+R988O63v/Gd09PhbDheunLp5eefu3f3zmvPvUAsWb96eeu5mxihVtg4uf3xN77921/+lS8e77znzjAVettdym4n6XZVaxLnKp/E0/Zm3Q9D/9uj2cGgu/oMkEaogjIJYVWJeZKWnh/5YR0IFTZrJ2cnC1kVWigtrl+//N1vfePm9auXz50rk0UyGakyD1Z6cZHzMJxNywd39197/iuhFw2PzqA1juNoo8qycJCFCGFCAEL2T8+Ef2SyFmgLECBOKQjEEfc7htdnZ8MkF24tkoui3urO4uKDD+9cu/ZsmZLnn7sKA346PlvEWY24jDlCCIxhFHl5cSKEzrM5Jb7WUknFNOWIYYzTLJ3F80rUZ8mwKm2z3tYa2lLJUhmlhRJSo0631WpErjGZiI8nR9M01age1bcgd1vLjelgdPv9Hy/Opt1a8MbNa0HHDXrB+vKFP/jdryFa7p0+urDaz+KyE7aNAUYbDGC+WDy4davuOUgqJ+RuI0Ru6GiBMVPlTKiCurjhuUvcEdPp6eGesuDV114bnA49TDiAocMdUgkJgDaIEK9VK3xCQhptrLBLL+Yg5NAMzg4hnS9tdbWTWjIrRba2uny0KJ65cZnUa8lo/NU//5feuP7s3/1//r+iC+e/8uWvfONrX//rv/JLr3z287u3H75//+4q0CtLnYcffvxo//af+9W/WGNFbfTkR9/7IXHoIJkHByJrSKchUp5GmxFv6/TxoSuq2clxF0GgtYECQkWInsczhDwImRM01SJxmw2/WS+kjtNkZbU/PTp69sa11ZXlZJaILJmNRkvLyxCCvBRpIZ88fvTyzTeuX31+vD8lEBqjOeM5tAYZiBFEgDAGEflTCP8IZYGxAAFE46w6G89Hszntrjl+eOvu3XNb5969extgL89m9SiczQpr3evPXhgupklqLEBJnHDm11pemhZdximlRmuEkDEaaIAxElUFqUYMGGNOjo8Xo9E83oeW6pxokxBNFCSJ0NOs0MAKaBtRUIv8CqrltfM7B6dHJ7NaPh0v0ml6KOLTt1+84V+7PNjdZ9W4wZbyPBX5rN1yO93w4rWtB7c+lFXVaS3H08LxPc9znuzfIxjUglo6njnMlwZaQj3XIxiXaeaHPqJ5vxGBaRJYuLGx/vDh0dr65ud+5gvlyWixSEizhgGgnscxN0JYKnPuWYd3NzaF34TWzxYHs8EnNy+G9Q756KN3ntm+Kszsyd6iu9LbuHCer18dzNP68cn3v/f9q9eufOmLX9p59Gh9a+vlz33WIHTuhWdrVy7ujY+rk4J49o2vvB4ReOef/n7yYL/vLw879GFy9nyv12+3lR5y6yCBdCqz8ZhTVM6OAZJSlwgpABS0AhrpuR4AHKBAWO46QVBvFVlZD6NqMuLIXD6/dXRyErr+wdEAEdbpL03jdDzL9/bPblx+45VXPr84mqtCYAisMYghaKHjORYBKUWFZATwU7Ka92/r6YAQfOozA3FRVhoaQIGCilJeqJR5TAJJMGg0Wu1+EJcF5ZFFVVUlNac/Gp+porLQ1ld7wCAElcN9iErGSFUZSqgoK8d3HJdXKtVS7T066dS21vrdZJ65CEFKFcFR2OxF7UWhPrpz99bO/nK3iZYD7kWl4vXm1t6dnY/v/iiMas/f3CwW+bPne05FL9a8xXSnSE/dYDNZDM6dWyqzvNWvb+utn/zg3UVRcuBJYwwAEMLt8+cwhUdnjyl1hIHAUt8JpMyzOHOjWl7O+0EDZVJU5RtvvN3qHT5I58tLy/vHYwJAmaU2TYtm6AHsRU0EleIe73RQfUVoWCfoyeE9VO5du9KnjsGU07DdWg4PTg9W1s9Hy6vtazf8ylhgv/iLv+h5HEDkp8m1tY1Y6MALtCZBvb0RuahaNJbbIJucvv/Rx3f2F0fTr7z1Mj95mMyO6j2JndIBDqmaRWxMDsWkarZ9DWJgc4UkgwoAI6qCEMy5ZzSDKHT9VjY5CsNmNT6TeVx3XMJJVRSey27dvaek3N5encbJo8cHDx6fct54+62vTIZpFVcUEqMFtAYhhBGmnAAILYQWQIiQ+XTC8WnT0/LPAQGEABjOSBQFWsmyzF2P+b6/WEwbNRdj7Xi+hnw4i9tL3arKpMgJhMWidHlUVqUUpcMdYwGlxGjkOEEQBF4YhUHIGIMEWwsIRDeubV+6cL5dDxth2AiCRuR5AYvzedjwVtaXrz17g4XRB3d3d46ONeaOV1vM0jzNtEocquVi4QEr01kxHyIVd2q4FfHXXnlFCnlyetRd7hwc73b7nW6/FzTqbi2yDs50JnSllAmYB4Rt1DqE+4Zx4gRpLBaTmGBCKG2ENZOWs7NxnuQWQmBBVRSyKom2DsIG2FJKxajyPLfT7W5c6K5fMaSuNITaTJ988syVfnRxZXw29FiUSxv0lg2hWoNGq2O4S+sNUq+xsK4B0kqtb10Iu33Hq0HsCswkwNAYj2NQzOR7t3be+WhS6jd+5W9u/eJfbaxsNRU6HT4cHh7AjJ58dAgThrWvLW6u+Vk50PmEUoQJBRCoMkeIUMIs+HRiLzKWOI4HLfAZDZt1TrlSendv791bd6bCPjw4+f67Hz05GnAvOrd+XhQ6jUsMCbAQWKu0dl1XKZmlKYKAcuq4LkAYPoUEgqekEyIIEAQGmKzX9ZNjp2bcRSqhk4yOE5jlG3V++9HArq49Pubz8bAsssHdeV4sHFZUmcGtLR7up/HDyHk1r0oJ5qQKyyoXtsCmAko7HkMMaWVqfq3m2+nZPoAxtVyJyuMCG+sThIr5yfQIQf7SS8+OxpNpFmHSGOw+2fvko5vnO5/5wp87PRm+/8Pbp+OkwwZXtlaoq2VqoMGR33j11S/9J/+n/4sCEGyv1JgDC50vis1zF5xO/uj+O2fZ4MbKDSjT80sb5cTyDlMBw2EknjAsCcYUM7TWabA4L8+mSehP87TpOIjoqZi3MrfuRmkHLxMMlluHsAp6rLPctNIrQJ1Ti6Zj+ckH1eTw7FY6fDxkblMzYJZ80g26hmV3HtSWL0ouIEUyr1zI4mFSlqK7fREYUSBzRik0qochPTuc3P/xO//k2/sQf/4v/rWrz3/O1kO4fjX9F18rxORi2ZLNic5EuB7BAMJr3YjVelLZxQElDctqQBfUpoa1NBLKWgQsQ34YtGaTjPZCJxNA5UmlvvPhvf3dvdblZ0B7BUIZdQFXVTkrmbYol1CDoqywhZxTCy2EAFtcCQGprapMcwUggxZaaJ86FJ8KCP9NIAUmkDFz/kLz7mmphbp+9dru48er6yuevxBVORydibxUqprPh1eubD7/3Ot/f//rFM+Wu2w4monA5IkslcI+qpLKWoAQtBhWVSkWBfGgtTpNc60p4xhSYo0pqwpyx3d9P4hqhgnoLoTxHFYjZn58sHfvk2cvLF+5unauGb1wefsLb771ra9/a3I22NnbdxjoNLyyrN7/8Xej5tqVixv37txKh0cmNQag/aOTlY2bYb2ZJEWaF4UQEaPMsEWSBlnBfcaA1SIJo1qSV9pgxn0tq1a9WaX5dDxZvrjpRLV6o6GKYpHETsMHDsmhjvOkRltACiMLh4bQqOLgQXLyaCnAAXGWvHpmdNQIptNhMhtOjqbE7Teef7a23NMaQ0IVclLqxaVpYVRaWAHbAMaDmh6ND39w60ff+S6uNV//uS9efetnhHS0tf5K/3CRXKdL2cfp3B7aDSxNCn28dnPJDODok9N+lpJGBxNqhNGGMEIBANYiZSGCDAddkMwoKmS2qKrqvf39x2m++twLy9uX59PE16Uo4vEs1blizTalzHNQXlQYANdxAj/wPV8iQGmigTDWIuQAgywAED11DD4lEAIAgIUA0SyPuSMuXAqO4qMo6D373LNHh0fKwKheV7r6NITQDzxM8MpK99VXnvlv/u5vBV7wxS89+4//8deTeW4tncapwj7mCCiAAVTKEkacmpMWiRbaoUQRAoDFFFuNHI/XV5alYYs0y3KFGB3sH6MiQzAhpf7f/O2vrq22TvYfznc/nOwTy5pfeP2GNTd/8L3va1VWQhj86YISbIe0/ey161euPLl7MB9lq/2L80VWAxhSXinpBE6j5o1P8pAEMJcmyUGQc6QJd6dJ6ftNUUExy3vNuvIsxZhRenZ0lBUF1nK8mNVD6vrOTGRuox7WwiqZUT9EKse42r33vcDNzm12HeqwtsNlRRycHA8JgqtbayIf73zzd9vPXWtevQbcTiEFjdxezYWwxAgGyLJiJB4/Pnzvo09u3230L7/6136Rba3GBgOILaROs9vorru5JsA4ETwY7rEn++vtDWjlkwd3z85aWlYudQBkWZ5ZwxxIjMUIU6WBBIA4lAS99OSs313d2XmwW6rw8pXOhfPj6RgimSRpMh6pShJAG41u2GpxlNc4zxdxVeZaqizOSw3ysyO/v2AN1/IGABQ/lUfCpwLCT61/IQSAQkyYo5dCvL5GoWbDwfHZaIKcBsROUQoplTRAKbBYFHlRYKQ9Fzi8fOv1K+/85KPHO1m316g3a5hZBrlRABlIMSYcA2QpBQRbSjAlGGCkpLHQIkaUtYDi+WgW1jpFWoweP3j1yuZWM7t+7fLWOT/NTs9daCvpHd5/FM+T1pW1x/cedzxw7doLUlZ3Hz+aD88aYRfK/NXXXrp085lWrf87//T3zqaTtbKMWq3js9HR2ek8m6bxoOn7HnHGZwtQ5LSUppK1oDmeFmHQgdbRmlgLvcAnGHPG8zyzCC6vbUCPKAozoIzjrl+4SB00n48QyQnzZD7Kyt1nPnNxcfjRye6xSml/c9XmYj5M6u3Vre2XPnz/YW0xXfzku/HZ4/61F93ems5zNwhQARzBiskgnezOd+5/9OFHwbkrr/ziL3v9jcwYAjm21ABEWcPnUVocBIGPHWwLwCs3vpM1lsL1S1s67OpKcuYU0lYSBZ4PAIYAAQssxMoyA1nYWAPzM8NV/dyFJc0qzE7jRegyWBhZ5a++8OLDR3vj4/kzz75UxPHZ4AwqxSFK0sV0Ng9tDbtOkk0QlaVQtkQeciHQEDx9W4VPA4TAAmsBggBQhB0E994e4gAA1DBJREFUdLvtLvdY4HZvf3LL9QKIvdH4mPh+JVQpdH+p5zhenorJaNZp1wk2Bohnn730+PGZtazT8o3MZJYpDYhFVmmkLMcMQkAgtFoCgCC02ijPcywSiywjnDiey4Dd3bn33GqrX6erS7Wtzf54era3+9jj/PJzz/TWt8NxPB+NgQEXty861OGI3Lh8/YN7O9/9+jfWz68tNQNQLJrtiLr4dDwgDvvO97/7g3d//Kt//avLnfrJ4T5gyEgYkGiRlfcHT2CVSyUGOdi4cNFq5vqNtMyzWGmlm/VG58L60cH+OJ6t9DZoKxzLzGs2nKgl84W2GBACuTO6++hg78ObX9gqZA1AunH5EoU2Pk6nY3P51bdbN9967frb7/3kg90Pf3y5zE93nzT7HUp5q9alkJ08PFNAp2ZSqWLjzRe3Xvs8XF2RiUUOhhYyARSxGGCEqMBFDjQWxfrmZjNa2rn9SAyz6CahhCaLuMU8VSQAE+aH1loAEDQAW2MhQBBDGoTNzcnZXeN5yPFC189nUyjLYjpZb7bis/F8OHnmxosWkMpUyCFWKMJIgINpGvMgbLdbakosqiqliXGBIhBrgJ6Wu8Z/o6cCQvCvxnIJglxJzSjod93+Uu/4ZPBob3ZwdDYaZ0usTrATRKjR6myK8wd7x//Nf/X3x4NFp90RGly+tu3+/nGeD6xSQBilpDIAAgyN0UqLUlmqIQTAWKu1RYYQwhwGMKqsGY2GjXpndLLvw/Jyp1NzcC3oGME4766db95/+Bg/yMpCKQnBPK1H3USzo93xlSuXTh/effn6czW3eTI9uv/Jh62V5bziCkqvFmAHDifD1996+c0vvf3h976R2zIZxMvOcrO9okSZgCqqN1U+j6WsYmk44V6Y5fl8MoHGFkUhq4py1u50glZDcoyEaHdWAOAasEpZQwjQ5viD2zAdI7SEKYkavdryBsiK45290F9tnXteL13EzH9u9Wp/82q6c2dw/KGd713cXKdFcXyU3HrnIe42zn3x5e1nbzb6F4zxK+EhAqRVFACIgDIKMchqIT4ifugJUPbOre4tjgfFwCQZGgdF3gm0ARZorREjgBItDNCAQEsgUEZrKYyBzOsCtGts2aw1Dg8O+q472t2/uLbWx877P3ynU2utr21qgzBnXj2oEgUxqEfNWVbkUrvcZRRaJL0goEEbAAKMBE+h3dpTAuGnmUwQCam0KYGpbW1fOzw6y/LYc1irf66QhwbgZrtVi0KIoOsHQriVAI4Tjkfx40dP1ja32l13NDipRW0CS4sdADTQVhrNKOGOW+lSaYAoBRBoqygj2mhGaT1sEmJFrkdHo3WPr4acGjGbgwff++Q0LhaZuH9395kbevvCuQ8+frDe31jce3Jx+/y3vvHuzdNycLjTa+xdvHRxc33zdLCbl6UhnoNsq9lvRJ3X3nz7nff/+ccf/WT3YHdppbe6veWr2sOHJ9Ms7/U6ssxC16sjmFhpIciS2Gv6h/Ep5TT0vbLIkzIvocG+t39ygIImrTWsQbKyFUKAEj0d8TR55txWeveBUsavd04PT31Aj04Sdu6qt36toPXCEl6vnX+7p68/07uz8tE3/+nHt3bz9MlkIjYuv3LtS19qP39Ncl4oDJRDsA+gtNgCYIEBFgFAEXRwEwSkgDk3R7uP86DaeuFypx0Grp4+RD50gDTKWkYx0BZYAi2wCEAAMLAYIqANAMiJmmezJxzDOsU4SzrMuba2xaW5dPFyZWkYhLYyCgKDsaEUMII8zkIHKwgdoIww0gBDjMU/HTB+CvU0QGghsNgiBYAhlPFQA+Scnvjf/8lHZ6cLl4XIpr2ud5okWSyLeOFHDUJR2G5ySIFWPp/ZKnt0/+P5YtBoBWvrayp96LKaY40FRmpJOEWE2kpD4khbSqApAxDBolIkIKRCsACLQbbSOHe1H+aDuy7Waav/G1//aKwBB24AG7duHewdzRaJeHTvtkPpBx/sYka/+eMH2gqzN/rg0dGv/vIvMBWJqZ3nZ3XDX9h8IeIruzr50cd3bt/7yd/4pa8+++qVhx9/8K33fvjMjRd6RZRMhvPJeLtXq6zxezXXo9VuLBGLXelKqpWu0rS20m1d3iyBEFq3z12QnLDScuPgZpNyFO99Us73llais7sn3no/SxItbOC3S68Znr8BGsuwkCGyRtiSYNvptl/8+evh9sc//uFsevbsl69f/fIvYqcjS6tEAak2mJQlCC1lzGCTQYUwdZAFFMmgBkqUZbDq0OjG1eua4lItVDl2czfINZBaAuBjDkuAMNHQSAAIhtAiWGqohNQpC2vpQBFbNjnUAvfay9nhcCDLw/FEa3L+goIIAUQg8zkihJFKC02U4zLpFgBDpr0kL3WkfUYgQE9dQih4OiD8tA0CACzmNJjmABPvg3fv3/0wXur3IEGFzEtddLrR4CSdnEljTWcp4AzqKt260IdWXb6x9d6HD+OZvHrxUhhGJhFFIZS2EAOhKm6Yix2EFCWaYAOQNZBqgyoDXcBEIuNZrIrp5ZvXL/R7MSlFUd59sL+Iy+XtNV1aH2KHI0t1w/GhcijC8/m80+tqZAcno17vPKwW//Jf/vDGtUvHpyON/S9+/ueFCpHLHz2+v5jGfgt5jA8eP5lO50myuPHizU/e/SiX024/1FbtPHr4xWc/13Vap/6RQdAqAKFjER9OBucunQtatYPDvVq72VlZjqXGGkNEHOYBgOx0SqeHA5F63WWJQzdom7m8c+eWbm6tXryolAYAQgspBNIQAwl1ycbzL/W2t5nLke9pbXWVA0gRMNZKBDGnAGkAkbH60xMdsspUpRgUo9WrK14j2Dl7UC9aDPrxZDhdPB6cdlvPGJVNi6oMuKsQ1RhZCLSWFlhopFQFNdaaCgLjc45V5TWbmRQr7d73vv6N4XCEsPPcC2+wIMwSiQkuswxabQ2EwFoLrLUQAEoxJpgzzlwfQGSMwfDp88F/Sk6xP83qJVphJVGZq4P9MwSC/NNoE0gP9sd3bx/NJ3A2Abc+PvrooydVBSCG2pbENUmxaLW6Hq+rCpelkkYaYDQwFhpEQCmzskotNsZUXsCJ40DmGOoSFiLi57NqenTUq8PF6OHHH/8ks87RDN26u1tr1SwE3V6r0fS8iHIPIWa5jyHRQcTzahHnM4AUMPr89vksl3Fq8oq++bk/u3b1VdLsHU0OP7n7wYvP3uy1G/fvPWo02tPp5Od+4bMnp483Lixlcrx8offcFz+zfW5zfHLMQ9d6DLougsyPusPpQhPYWG7lIi2tri2vagMAdZDjG0Aopkjq+c69ejEMXGK4X1m3Vuuns1leFLzT96ImgAQgiixExhINKEBS66TMbS3IHH5WqcpCYy2EAFiDocVAI2sslMoWAH3q9wOsNgDo0pOFU7WvrNa6HsLKQlHEs2atXeu1Z2I+mR47BHqui7gDMEIYAWiMqTAxToCwCwXQUqnA8fLZvOP7a52WAbK9vtJbX2l026tbm5VRuZKVLAHQjFMAjbUGIVSWlbGCMkwwgZB8GlVvLXgat3qfFggNAAAApDX0PH8yGnc60bntUKgEUW/vIC+ylik2rFhaW7221Ls0GaqdnWEYdPNC5oU5PZshyBr19uhs+gdf+zakDnM9hIkFUBtNOaUuRRhIWxlsWRABJ3DDZtTopkl+enDAreAiRtXcWJUa+uGToabcr9VanTaEKi/ivIo1kMBUUuSUQUysMQICFUUMoVzbjDA7TSfL51Z7m+slJv3tjY/v/iDLjmsuAxLev3fvt37zd955916SpVkRFypd217DDCWzOAwaD27f1cC43UYiKgAI92uHpyfLm6uAw8FiopjjNntaIQQ9Y4mxVuepnQ2TJw/tYoSYxZGvAT59tLuxvrl58TKrdUjUzhWwEAMIrbFcCy5iLGcIJAhmRhecQGAgsMhahDFGFmILCIQAawWk/TTuwVgLpOfi7efOW0eWxXjj/Or+7s7x4we97lKvtk5ZIJCdzYc6T40SymoDFQCaY8AxpATkRSysCOqNwI84dpJpoqRyI38az0johc3IDzjkCBFd6/jMwUpVSlcIAkopJUwprY1AyEKMsrRUGgCArDFP3bsoeGog/OnvbrjDCQFJOr1wqQ/wBGAwm6PTE9xp3lzu3mzV1zGJRMkQaO7txo8fTUN/Ncvcw4PSdZuNei3P4zjOEK1B6DLqu27g+zUvCAmlUikJMYvqtd4yD+sQM0bo/duf+Nx8/s2Xrp3bDBAN/drxLHkym/EwBBQzh1gglREGQcIoMtpI6WDsEBK4TiMMKIKMIAt0UPPG83GmigdP7vmNaO/g7p3b31hbQo0A9zutKPJqteZLLz5/cjJq95d/5198+yfvPbDITVJgpLvZPzcZTb1242wxR4gcnhxF3WbvXH9RLWZ53lndRqyOLFMGSKkBsNgUerInxgcGURo6xEORR7uNxuj0bJqJVm8DQAYwN5hoCAyE1lQIVYvZ8XxyiK3gRnsaQIMtoMAgYDC0CBqIDbAWWIg+bZAQWq2SshwDoipdHh3tEYJEUTCCsULT+2kxt44XVUVOrALIaCAQFMhWBGoKzGw4nI3HCGGhweBsNh4lEPDpPK6q7HgyGs9mlNLtrXW1GIyHT/Jy4IeEO4RRjAm0ADDGrbXGCKUFsJBzjzIX2E8HjJ8+PQ1nwn8lCBAAplIZpFXksrIQCNaSBRdVXWtXyqnQsiix0TwMl7I8v/vJccRWMesdHp5trwvPocaU9UatKpkuSmMkNlBZCaVyAyq1VYTyelPmHkXCD9qf/PiTIo37691GwJaCcyeK5KR2MN7DdV8j69Y9ZYXnO1h4CkMLUN2vYR/Koqy5AcAkLlNkaJHCCcrqUTMuJrOkGs3yd37y49/9nb+HzcHm9mbbDxYEns3iixevLq8sf/MH3/r1X/snQiLXrb//0U5yLJ97/q16Yy3NhSSmNCovM2Dw9eeuAWryokAOr3WXheYUuQhgSpG2Cqk0Pb6HioR3lhMlkCh1QVh9SWOcxPJSd1VpqAkGEGqoDLIAYsadWVlJU6zQAGiKpGcA1RAhCyBgCCpgEFDQYGQsNsAapQBQRTbO0lHugNJkjBhRVuura1Grcf+du/y0SVdXrAJASo9giIBBlpgcWYgQSqez8elwaXWpyEScpkTCpeXN9X5z/96PinLRXuod755sb51jRs1nkyDwTgb3aJs63MEIWGNHZwOKqSil60agUbd2SDAmiAJjEIJ/ejHzRyULILIaQFUYAQu10m1mlBVVUZadQjiQAGEKSmHgho4HGZfDce55K+nc3LrzcP1cPWqGjx6NziYniBoAOIDGwBIaQ5VjrKxgzjRyCCWIJlmV5BVznOP948ng5PLGUt2jD+7celSWW+cuT2bp2XDieE1FjEsYtNahVFEMoDGV9ANPCiGs9n23KHIgq2ZUH5/F81milCkrmx2f7g/nw7N/tNrBV65utGoB0kVezrjDZ/EcMXb1+rPbly8zzqdnxTs/uPPac1/gJHz88PErr76xSOKzyZnjOs9cu+y4RMo8yRbnLjxHWQCUawFGGhkLADTl6bGTDLubdUwsYhjhfDE/tu0Nxj3qU7e9hAAmSiACAFIWUAgsgNIPA6mgNkJZiLHGFiBgIQQQfnonhgw0AikGINJQEuZAXE5G9Y4X1GE1Sbe2tufyjNc4MDY0fHYwsw1rDVdGEca0KiCzs/k4ZK5HnSqZcwKLIpulVb9/IWCUEAHUsB4v7z+ahK5t9lY0orLKORSMOkmRWkJd5hpVYE049wgmwkoNHTekSmeVCjjEBGgEyFNHIHgqILQQWIuwqQxW1mGedgLAYY16ATkbwUVSKSClzWXmWyNKPZZaY8aQqVNano4fnE4eBuFLHlOHp8e9Tp1gZm3O3Rwo4igqNXIizhmBueaWggpQTQ4f7yTHaS8KekFlysJ3vKjdKTE+GA6MsQ5lIKS6rFyPl1kutXQcCpSuZCmVcCMnq5KyzJARGOduUCGAACwY0woXhKmXbiy1PLzRWw5ccnp2KOS82VpmDjXYQkhc12EcF1narveXe5snxyeRSxmsRoM9APXVG9cYRZCAsiryPHM9D1ioLbDYYI0VNAQhlpXTwUFzO4oCPzMxCGhjQ+ztflgturp+HbeXYGm5rSABymhkXQwrK5OaSzDykS4Yh9JmzCJogPmUQEsNIsYqTSrXamtJCbFjgJrOmkuh7+jxkc5PYhFK1kBykaJJUYwTBzsS0FxrwCjjVqj4yZO7F9e3vEbLqNzo0hiyubnqOoFWKCtKikGFeCL8lc3LyOqz4SGcHK3X6WRwSliztrSaD4eqSoikkd8cTceWwtNRHLBBZ0VaFBrKAdawYoD/cdfr/3w9BRACAP7VOwZmhJcYiiK1xq70Vr//nYNxAmq91SoX2GBjoEWUYKYVshZAiEVhuevv754td2sIur5fY7yCUFJKAMcQUs961sUYAwOtSvLj+w+PBw8RLR3hBsgT86TWbWxsbRlt52l1NptCji0xVkopBcGerGzoh9DqXMt5lfSXloSoqrJEjGMECce1JqUIY2gxpYAi5nIMic95I3KhKUWetxr1Rj3iBLUbTUTYaH6GAKYEUmqsKrbWVo6Pj95/9yej6eTlF54vZTGtqk3aG08nnaVV7kfSWouNBcBiDKzFDCuiP9n55GbfTeOj3NHnVtYe3zvc6D97XCEvihBkRgPEHAsUtEBrpYQgSCCN0zidT4tmZ0UaYCDFGAAMEEQQGWAVgIgaaBEACDAAgTV5MseykEBbqxazCSZw/GTewqHjBb1LPbvcXZSJtMYYATGdjQbUFj6zydlxliwcL+h3l5U1o9P9xUL2V3pZCZOCPfvyFzqtNYhN7L736OC9jDuL2Cyfe1aW1SKewDJnyrUKua4vlcXM1pqRVpZ6DCECALLg6dtjAk/LxYy1AACIADEGGm20kQDoRtj0eOjQUFVWFBJZgAC2FiupAYDAIkp8hDzf70a15ePjWau1jIkjlVHAlCIVMtciL4o8z8uykAgyD0A5m/Ayj5RoIBtYsxRGz924aSGZpuXu2WReVdx3MTFalY3IB1o5lERB4HJOMWl2WspqwihzGWa41e0wTl2PewF3XNKouTUOQyQjBgiQDgFZPEVWNeohpSjN0sHgFGPme76oBMaw0Qg6vcbp4OD+/TtFmUX1cOvSxUan1dtoawbiQtTbq0qjJEulqSBUFigDtMW2lFmnX++s1UbxUW+rO5qcaKPq3dY0XoStNgDYAGwtNNoSjK0yWiqrACeuy0IKXCBhHqdJvMiyVFSVtgoAA6AGQBMDrLUGAwINSOYynrg+ynA5t+XStcths6NK7fhRfXUVtes5soYCDRRCRlZ5spg2XIxtdXT4GCPb63VVWR7tPr535700ns3ni9uf7DhBr7V8pVB1KQNEPamr8XRQFtL3+mleBpHje9xzuO+5jFJMKUAaE6C1VRoBSwGAED993yfA0wIhhBAAaKzVGlhrCbVCFvVmW1vCeSglLEphoYYYGm0n04kFGkLAuefwgBCv21sbjebM8Rh3irKUSgIAjdGyqrRWQlRaKS0VhfDC6vKltX7HZyGya+3mS8/cUEV+cnQCiHtwNhUAeaFLsHGY5sxCW1FiMFQep416ZKGOkynEmnHMHeIFHGMcuA0poFSQUT/06g5yyyRDQE3HZ3E8dzwnCENESG95RSg7W2SYBo4XlUKcDk/vP7r3+ODJ21/4THdtubm6jENfU1pf7w+zXOGQB73BcDEYDA4Pd2QZI6sYhphiC9X2hf48GWKXRLWwyuKVzdUsXihr/agGMEaEaKOsVcBqiq3nOo4fydL4Qae7vOl6Nc5da2FVqiwrtDLWWmuN1hopq7UWQFojQJYuTg6sSQWTznZPd+q03tCW3t3dTzm2tbCiMKmyqkqh1bIs8vmCQ7iYTozWYS00wBwfHiaL6dbGSujzB/fvNev1c+fOz2exARgiNp9MtKhUWXZ7S8aivKwshEYbqyWGACJDXaJsAZFBhFrAEOYGGAueStvDpwNCAAAACAKCCWeOY4yqZFlrdwbjWamAX2ti7uSyUkBzThuNmuNSQqA1hlMPQjBfTC2y88UMU5pmOQCIMw8jjiCFEBGKvdA1QCIK640AWUGR7LSCbq8Zx7Pdu/ddzNJMzOKCctd3uMsBowqhMghQnk4IUg5HWqbNutvr1JGtfA9HATUqxVBaXSFsqctKJedJnmaVBbCsyslsBjChjicM4H4UNNrt/jriYVIaDTlg7vLG5rnrV179wmfDfu9wPtt+7lnluMs3bkg/SAw9f+NVgGr1qN9pNCKHEKuhrKCSQBTIVpRq1ycb5y4MD4+bYbPu+EWac0YN0ABoayWAGmELocRYIwwtQMpia7CRwCIa1pvN5lLgNzDiRiNjoDEQIYwNgAAooDECajwqpsPZfFBrh7Vec5EsKHZd61gBp0maag0ZK6uMQkONzKaTYp6K3MwmCSRskaW7+7uzeNbttFqN8PDgSbvhX7t2Pp2fOEQ5XBBaTc5O1pdWTKn9es1QJY0BlhJMdSWVyLmLo6Y3m59pK42FjhMh7CprLTB/3FX676Kn5UwIAADGWmiRERJx4QXscGeaFqVDLNaAeG6ymESIZflCgYK7XBljtKSEVNVikYxWl9tHJ/tStYyQACFKHcIQIiGCRHsQWoGJEVYeD06k5teun1cLOhqPjDpiCrej5u7uaVnpdqtLEGIO1QxoqTCCroO0zC22vkuakSclmYwyj2MtRRInYcAJqagPDAbKCgA0gZQ7AaHQdZDjMsQcgzkPa4PRtNvfkpoxSoVJCqWvXb0Zra7iRfqTH7+zefWa02rP8hwAUBG+efV55jfyUjgO8TkBlgFpsiLnoQOMzZOFp4tmu1nEfHD04PzFVZtlphIYMWM0AFpaBRCDUFkrkDUWYCmVBhgR11hgNdDIMOwFnsuMAxEEAFgNAERQIwShshITNB4OXAJqkcOAaYV112mok2HLcsfDk3meCB8YDSC0Uog0mQwXRZwJx0vKElCcqqmFCBEa1IOD3f16GF7c3jzYuWNkur60ocpqMDgcHx1c3e7K4wNTFnk1xzyYTs94kTaQlySLRZLXVtyz+TwrMt8jQggfQAiQsQoB9tRdkD4FEFoADIDIEERxajLJLQPMQUujs0kmhVUJFwHlmAb1XEktJWGOFlCJ0nW4VFQJmuRVq718OniSJwvfQFGwzOYgLzkAAmuJLcAEGGWMgaTcvnQzrIc7J3dKWdRdfylqKWum82lUDzudplYFtKDuIMWJtFpqQBkAQDXqAac2nc9cpjmusiqu11GzGSitmeMWovJ8FwMrioxTz/WCRtNLy7RUABLmOKGyQEAitIGYW2sNdA7OTll9dOejW731/tZzl/YmA4WcVrvb6dQBpElcRPWWFqWyihDHmmo+HhupIl/EwwE3I4IWTtBbXVtNJgmS2lpurLC6BFYiowwC2kqtFDKEUp4XRVrOgwgjQpVlFrpaGaGkgtZhTBttoYbWWFRogAiKgLLJZL/dDVYvXq5Gw+niqKyOvETCSdJutQy0J1m5wlEhknlcTCfzeJEoocpCmdJ4OBAEZbLoRUEyS9OsvHh5E9n5/Gx/tbeUT6YHJwcfv/uH1zoehrazsjqKp6w2jYJoIg3QyGBLHBg6YVjrNKJVzu9qmGsQaIshlPApJBA8La+jBgBgEQCA+LxAxos6tz44/k//b7/H/Y7FOo0nSAPXjYqqnE7HDHtAISW1NkppmFcmzcvpdOJwZFRltCUkgIBYIC0stRF5pZJUIsIxNjeeOd9fWb7zyR716LmLK1lpqOstsjgp4u5So9mJHJ/4HkPaUoyEKqJmwH3qeKzVrJkyDRzUb0crS43Ntc7aaqvVdWlgeIBczwm8wHMDCAmwBhFjkCm1yKrSIEK4t7R6XmHCPWasms3jWqO3vH5u/9HBxYvXLly9GhdxrsrVc+e8qCGUrMrC83hZpMBahKhUCHFujBwc74Myn+wfLE6nYRBZNZdVVlYCAgIxlroqqwTo0hphrQLGWGOsAVrrssiszQkrrU0RVBgSCw13CWa40kIDDaCBUFioLeLAcFuVo5OHi/kphCg+SouTaTes5ZV0Gh3ohq7f4NSFVcmtAFqOpjMLICaoKAqiIBRWlgpjVubZ7qO9/up62OTD4a7P3fkw+bv/j//yf/e//o/K0fGNSxsaKd5sSAhdYjxkltqtdqsjtAzqgev5BIfAuLPFgLrWcRoYuxBY9BQuE4KnohOCT//cEAAAYEgYYYTgw6Pp4YlqrAaMeUipPJkS06x7Ial7vkfTpCAQaQGsQlmcddoUIyhFWRRp5GlGDMbGQoOwNUpgZKNaBGWFmfU8+uDOJ/F8DBS4ceHqZD+1AM7mM0JAt9vkHKVWOC5FsK6A8JGJagEn1CrAqOGhJxThHiecB/VaWZYCJJIsCKUQOomofOxHfh/CEmNjgMXMJQizoK4pB9BDFmiUSZtIUHR6y9uXXznXh9rKUuRCC5dhimRVzVnoQEysqaC1ykCCMQTCWtvot+69s7sQo7DC8cks67i0xYFFtVZdTGNjEIIIQgug0AAgSICuKNQEVhhirEutBdQGWkSQLYuEEmossFYC+On+ikYWWOtIAQHVKp8f7txfYolJ5sXhtNPvO5ans6y7upQCOi5KaHxjcFlq1wvzorAO1sAkaVxjIdZKQWMMGpxNXRq02z1VZQBwLc1v/Q//5Hvf+Ppz5zt/7q1XRJVorAEmjh8S4CgNjNFSCQOBAUZK7SMbho5SSghV4Sqw0IKfJib8cVbqv5OeDgg/nQmEAGtt8rwCtQCjIKydTwtsWeUjPR/HbVqTpqjXAinKqig5DznlFZRVIbKkatRrGK0m82G71YDQMI6IRzEkHoB+5BAGqqLSFs+TcV4gQiDUSldyc20zWYylkRubK52lKC1z10WBix2CsiKPXBZGtCwrJ3SajUYhEOLEiUINkB+EEJG8mNK4R3kgFXCxA4tKx6kwyFJUaKMxD6JOUO8jryYVAZYAaON8Ql3v/OUbosAISYQlp3ZwdooDl/hltciP9wVljut6jVY3TVOAKEFYVBV1GMLqyXu36hJCUlMFcByHAQotqESlBVa5LrIcYGOBtpogrJARqiwArrgVhBGgVZEL5nKGiNalxQhCAyCA1iCrobXaegAgD5n0dJ+J5KWXbiIwRS6M+vVFPGmGjo/AIknTUWJIsywNCDmAUCppZQURABAYYISqNEYQIW1VFDUhcks1NxZ/5xs//s7vf+eX/uwX37xQC1WaZ6IiirEaoqycZ6wuoLVSSYussUYpaZVaWmoXma9UhhBDmFrwdAajPTUQgp9mwiBECGYAEKVAWSnqBXle1eouYHQxm1AfMWAX87mW2PWw0Corc0adMo/3d482NxqBg10n10plaYpFiY2qoLFEw9L4nJWqWlrq+qT7/W/+GGCbTMdU+8ZCiGGtFVBmQJmFAW5FrkhnDJWNWsMP/ZTypdU1v7ESozrxvQoTbdBCAyUtc871lxxLIUBV5Nh8uA+S8Wwe58YGUcNFvNKcunXshFBhxmkuzCIpVlZXAOUWcmkXi+Q0bLvEE8ejo+x23O2uMtyJp9OhOLFA1erNopSEEQgZcd21teX9H3zHXSS1WoiYk2V6lsS9ZkPklc6oa11TqCKdnx2nQmFjE4cooEDdr8/ni6PhcavX3Th3kTBWJqUlCGpkrLXQYmusNhgiaTQ22gFq/8HHOEuOPpquX22wjXoMZgrlS21XDAd1EhxM4lMSbwLih41sngAoOHUg0MpqZZQ1ygCqlQTQBFFTSowYXsTZOz/8sBM2Xr6+7okjlQrtWuMgaC2GqCyyQFYIEWU1INAioI2q8sxrUaUwoQxRB1hkAMBPYRsETxWEAACAMOPcA5g7Dk2zg1pEhHTKkgd+cDIetqNuLqxBBFCCXVpVVSZTAFGR6Pk0mwa4HpH5ZE7gktHWSM2oY7XKs8L1GbCfGnamtcblKPR0NZlNTmtORwNAHYaIzfIphAICASAvOWovbVHHNyxYubyFg9bOME54VOU4gWheGlFBq7GPWadWswiIKnbKfKWx0V/Zwvu7gZCtzvIiLtNZjrGHAEVIaavz0kAULfUvAMykEsPp0CI5OZ0djQ6zqiotKyXdWlrrddwn+493H+88++LLhDEDMDA0K2S71xoRoJPYNsEoTtr1HoEGSBixEOrGIC2SwfzeR7eKGQMscH2rqeCUUIohACura2Grg52gEsYibAGQlbIAIAwIhNhiaCwCgloJZRUfPFaDSaGJ7ncBo0oYAgg2aHgy6bZ9aN0SM+LXKkgIZUBqakwhVJrnYc0zwGqrpLLaKteLlKYu5QdHB/Pp4vr6MhInEMXMXRYmr5HACmWk1oZgBKw2CAFKuQEaAFuVJZUFBEZKabQFAD+NL6Kf6mmB8Key1kAAVSGDsMZZKaqZH1yYT/MUZYAr7MDRWdztLFeVzqtqtphIUCKCq8wwzH0nGg1PZsVYvNSqhUFVVcAiawGhjut6psrDWvNkWDCbv/jC8/c++q4SmSG+kIxSighIRAopdDguZcVWt2m91e6uj2JzL6ZGBOHKhc5ydypVJi2RqNNYPtobHU8P/Yv9naOj3ZPhUuDpR6eX+8svtM+xeDjLbZIZJbGWEDkYkaLMs8UsX+peqDdWikqOp2fcb62cX1U27S62JnEaZ3K+qPbzw8tXLpzfOn9v58Hx8cnq+nldQquZ0DJynSjyY1k2llZyOFY5WO5v7t+9BWZpNpqd7WG/f2W51QuWN6nfgLxUZgaxlbOKYLx2+bIAUBoihXGYZ6wBWgBgMCZAW1lVwALqCcq1HB8f3LvTpW4N++NHM1tXnfVOvJicDeaQ1OfKk4HreHXqh5nRVVk5gDKIsbWEUQsMBJYQUuiiFKUQhpIgTh89frKDMNreXHPRRKM8EYXLCddQA2WqQlOHOURlVltDIDAGcMZm00kBZlFojDFaafDTFIo/fR39oxG0gFioMUQAYIFzCVwi6i4BDFSprHuYeDjOsnbYVwU3FbMGpvk8TiWGqCrygEXHc2NZdOPFi//jf/dBzSKNMa+5SNeQQdxSHjCCkYEYap3Gi+npg+eeeam3tjIfDGjg8ThdKMNp24EYmbTdDCFzSKcdrNw4TJ0pRJ2Ll5a3b8wBOsiHP/rkwwzAqLt0//Gj3Ye742L+tcGjiEeO01vk4pWbn/3o3Q9gVXt588b88S5CLqo7yiFIWjesn46GraXapWvXAHVG4zFt8KWl5UpYbZrt1lazheJsPp2Op6fju0/2ti+sba9tJnGiRV4hgjFgBoFcFmKRogUQNUbQVABnvmg3sa5qgzHH0GBbNesNJZUwJbYEWt912WT3HqPMamw0RsRD0GhrIcQUesBALASweZLE8bTEqOpuNeLJIJ2NzllCpFuUphjNfVpF3pIgzAbcIL/I45WblwxlyuZVVch0sdqoK2XzWOCIZ0ARQE0piAJJPAw6c6GdyXEBF+n1rfbmJXx8UMwToQE/GQ83ti9BoxzDACGlLRCjxoJSlFKbs9EwkkeNQLheXXgtADkEFpgSWO+p2yp8GiAEAABooQEAYkgR4RDL5eXW0krz0a1iBqZ+izHP9cL6aJC6zCsWEx2fFlkcJyWlrvI4tO48Kb3QOT1d1Ht15nmzxRHIKhc7uZKIGAAoNhZa47r86GCciGrlwla6mJdaYiQwZQBRDKnHXGNsFNZZtPzwNC8aq8GlTdJZ/q0PP7p/OrQ+3h+ckcAzSf7jd945G408ytOTAWfB2tZmb7n9ndFoBZNRliaiXQng+05Qdy3UnMB5PAEEAoofHxzOElBvt3r9LqSQYGYqN441c2mt1g7DsNvoLaoYMx4QSi1MF3PeamklgLEqTbJ8AbjO83ltvb+TqDDVS90wG+SgdJm1okwWw9NFohLNLSCcoZqPxycH5zY3TbaAiBMIKSHWSqMMshwBBkwFSdWoUaDMZLT45P2PRw/eMZNFnQQ1yPI8tWUpWamXIuk4h2dTKecPDwc8aj279naeTyeD42WvvnP7NsROpmG718EONkrCSgU0XExH2tlxXLC3s09t1apRi00Y1hQLS5XzWt1SniTZ6lqvKisNASYsWyxOTk60NXlVsTLRsqogQnUOIYUAQgSeOgLBUwEhgAAAA4EGAECkPY8f7u5sXXvps29d2PnoHWj02ek06BCNwDQer7cas4P7z2x3fvZXfmm0yP7Z1759cBK3mu3B8XGWVb1+gztYKOUQoJSCBFhrhBAWSJ8gAGFaFRb7Qst6v3XuwvnFUSyg6rR7le9MFovAcyyCTtCa6drerHj5C2/84JN7/93/57+0XviXf/VvCalzRktrFnn24muvj2bz8Sf3nQZAzPvqF7/SXu/8s9/4tZFRX7h6FZgZ5NBxAoppUYwzWM2rCXa5MjgIlz0DNIAnwyEn1PMbvudDqyTIjcIIGt8Pic80kIRYxsXJeFzj1OU1jECRxlBXy8td5Cq3E2XDs9gJ2XBWjBcRjQwAx8PxndsfBP9f9v4z2Losve/DVl47n3zOzfe+OfXbcbpneqZnpicPCAwxIAGKJkxSEEWaFGlbNq0qy1LJH/xBtiXRlmyWRLlEShRUIEgARBwMwuTYufvtfnO4+d6Tz9l57xX9oYeAq+wqV7mKtm8V/l/2112r9m8/a63nef5PsIr8gTDaaHB8OFTZsBHSZZlhJyDMI5QSjHzOKAoA9gGuLCiog/prvt/24gl++Dv7YJTQtsOMRqIOKt5vrO0l8zuzQxt4qxubr75w5e6d8W/98n/ZvHDus698/srmpfR0ev/R48VkRFTu4WYmRCW14wdGmXgxms+r09Pd57baGIt0ugwbLWhb9+6frG01l8nCIOh3WrW0lFBrzGw6Pzo8XttcpRQwzjDBQkmirQXI/lln/b9mGQDMh2mguq5n08XitR8899RqtwGqOjVStpsb4+E49Ojs+NGNjfZ/9h/9/YaDeaPx9NX1/9X/9r+nPp3P0ngxa0Ye0Vob4ziOYBJjjDEBGLkuB6KupGh0OlH3it9rAWrcRpgMM61r16VetyVhjZkilBDXGy7m0Gkvi0oq9dUvfvHWrfdf/93fBmFYS7EssmUSc8a0EGuR++Uv/NSXXv1Mg8L3p9NV7l9ueM+d31oc3g/bIYEOBVBYm4qUBOh0dHrj2Vc7gyv9ypGoqu1wfDpaJqe+X3h+BDHFkDjcNcoYiBRAFiGtrKyrdDH1NnxiQR7PZZ6uDnrAy2bTMeDM+J3R5KSJMdHSo7ysRHftQqu9hYIVS11rauSE92+d3tk98BpdJ4yY4xBkjVYBoQRHxGkiFzkBoAQzgp1Ww2+fpwAD14etRhU4FSCl4PODI7jm3fzES81e2yrpGrrqNN1jfn8Wtz2HSBVA/MyVy7TJ4/FxhwAOGdfWwU5hjRSpFNJq1W0zjAsjjazM4cHDWkrM+Gi8pH6I/YaN9Xg8LpZpntee54WRTxUxViijXN+31LOAaAuItWeRwrMC4YeCAGCMmOuGj/YO3fPh+c2w0bp06amrv/eNr8Pakel0p20/8/Lzt99+95Of+Mjp/qOPXFv78meu/ervvt7siU6D9Fp+cTrC1hCMsesiyDxKFbeO6ygltDW9tVVhugqDxXwSEKQhBBBbC6JGUxMj6zmAoNb1yiD82h+/8fXbe4/3T//D/+W/+9N/9cU7j56cmlpIATBCBPU7nU4YzYryJK4enJzeff/ub//mv3huq/1v/5W/JBcPEcSNfrOYpU3iSoglcWqZMsY66/06ntcyJB6l1N/aOF9V5Wh8uliOO93VqjZh0Bj4PYCgMcYAxB2XY2xEaU2GDYlPT+OTCep0paaj0fjyS59bufj86Ru5WxyUVC4mqYoa5268FDRW8xpqxKQuL3RbpyePO5HXGgx29/b1Mmk1PI/hoiwhAkUiDbGI1KouCXD664NQq/Fs5jQbP07mDVgqavMAXbt+/tL1raKYq8Uycl0Zz8VcNBnzKLtz6/b6p7dn46nGYHtj/c03Xh/vVReu35zP01oKQxCBGFMeesxxFIYSKTY+mXPXW9vZidNqERebFy8Ay/d2749OJ6bWDJHADyEESpaA1AZaCzEijgUUQAiRPYPuFmcGwg/L6zCEjBAPI49T5FLy/DPnnuwdvfLS5957h9x6f8lk/j//d//CW28e/Jv/p1//v/2n9Nq19fHxo51VlsyLX/zFpz72kQvvf/tHQTtERpVFofOKI1kZIyUAQHMAECWns4kTbfSi3uksI9hhjlNZYjTChBJOpIbMpZXMtwedT3z85b/zf/4fWttXf+/N9566UA1W17rMUsYABmWejU5Oijh7/+GD77329vH9k9Fo7jr21ef+nCKiLhS1fmVqBVJgbDNoLhE8PVgEvp+ODzFpOy5Lsoz7DBjgEHZ+Z/PRkwdHBw+vXHl2PJzrWLU21izAkDBtbBrHHFAKhUjSajKtx0m2aHA3KrOTJJuvdDu017O7B1GH1dNlkoN87xC15DCrawhqmfg+6AYsGU62V1YHLj8+Pnn88N3IY1HT96I1xPpIY12kPrDMmMm77916+Hh0PIRV5XA8efik22l+5IvP0kF7/8leMTle67d0nxwcHXmicTqfKep/7FNfmA4nkNBOv208cunC+bfeemOfkqC/aYmWWoISYOxvb22WxTHQ9Xi8dKLmymBDWTCdzxZx9VRz5XS0PD4dYoMY4S5zAKjzPCnrrNElCKM8K7wepIAYYIFVZ7Fo5ixAaAEAEAAEAISQMuJi7HBG0mV28Xy/rg7ffO33nr6ydvet+89f3nnm0sq3vnXr5s0L/+C/+tV/8H/4ex7Uspx85cs7f/OXvoJtEXpwejpDOoTAGmsRgMACJVVVVdBqQl0/8CHn2HUGG2uTO488wgl2ICTaWGU0pshixR1czpJzF67zwcbbo+lbv/N1r/OWh+n5fhtiNJmOjJLJdFLOFzqNxWgGUPTMxz7x6k+9cnj03hvHd5/zOk3sJHjhhQTWdZ7Kk9IiG7nEfu/bf+iG7UtXP7lx7rk4zoy2jKF4Md7ZXL21vFdm2aDXf/jBExD4PAqE1JRyRoisqzJdVNOkmMcOYHJRWo9R7B8dPL4glXa5JYq6oLXRjXf3v/fr/ywcbPDeiiLAoNz2OC3E47feCmxV1VnfQZzqg3tvn0AJeQexgRdFLlVU1E0eBSisd49nh8MM6O2r51evP41r8aN33p71Wn0hnr+443B258nDcbxYK3Cvvz4plNDQbXY4JNoCKfTa+npd5d/50Y9eWN8oQU2YQ7BjDH/x+Y/c/cat3d0nKhM0N921rR++8Wap4Ms/9dXDk+nR8RRhQhAkllkDIAJ5kVMXM04RBhw7lPKf3BxYiM4ageBsQAgtANoACACAFhdlhUyJtUtqGLL0ylbT4StHcbLZSq6fCz1b/PyXP9X9/v3f+b1v/oP/+L/++3/vZy9cuvbynw8Gg6kt6zU/qvARgyFD0oAFI05lcs/lnk9RXQurWq0oUdhg6DXa7f6aPKml2yHUc4DxZSF0hfyGZlHS6R/V9mia0rBHmw231zMQHShdzuP4eAmEQAAaSQDyepvtn3vhlb/zd//GxC2fTLsH8UyZ+flO01fABWjvdOg0L5y7/kIrEqZ4PJvuiaJ8/903F/Py+tUbGhJRW5+vq1ptrV+dLkbtbtNptveOjy6HWxBoYJNSLV3HTaf1zMSqWvClTipI1OLCVnfpEPPgjXaunywloMvG5go5ssPxE2CWoyevHx4dAwgbUdsAO9zfZccPuk1vbkSdZ05WYs3LKmb8wIt8ZdEsFSMSUGmTJFsJOqMif+cHty7fvNbqRdZ6n/3Ep1rx6eL0UaqItKjXOjdobb053j3OKz4vgpokSQI3moaApCgvP/OR93YPFITIBXFdRYz3ydzyWf/5p5+7+dz04PTNe/cffu27ca1/7q/+Umfj0qMH311vd5K8EFWuZVYUAlEiqTKOFFQa4kDgQ+4oUAOIIDwL3/P/k87KS//JHgNWVT0Y9Ahq7i2KLIkJdJ+9duPBu3+wudKAMp8cHp9fe/YdT33pc889evRo9/He995/8BK58OxTfWtLZMsodBhiCGLXdSHEnusZFxECjagAsMZaTLEFFjIatlrz8VQpAyFEGBulAcKABG40yAH+0fe+9ws/81Nv7B7SyF/URY1ZUpV1naxuDrg2BFrKcECYl9Rf+rmfuXBhs2/KtW70a7/+z7713u0vfeyFLz218fD1t6KodfHp64migsqws3rj2VdGkyVrrj94tKdldeXSswgxBDHB2OF+kZXzxYwFwWR33z9F/kqHAgAhmE5mShGLpVwmIXY48y3LOCWOQsNbH3iUyxp22+1FbAeOp8fDeHLic7qjleeE2WiiDeh5Uc/AdeaXNZQEScykMm7kRT7mnEyXaWgURo5w+EpzfZIVdDZPkuXu/bvGbCFfTGfpIAorA3ONOoOdwyfL3/jBmz/Kh3/xr/6V/HB6+sHDwtEbKy8QtxEv530Ibt54an80GURNzkk6PHxw9CDZvffUzkZRqRpihRnm7l/+K7/Q3rn45M6Dbm+lSpLAD8d5AlRNCE7KlHIjkczrQlkg65pKhQE4c7vQP9FZgRAAACwAGMAg8HG63NxaP1x80G1HZUrT+QTKqlgsUKudjZYb5+S/9UtfXmbF6dHJ3qO93//NRzuXA2K7tU08X148P3AIztKFrfOQhhKZMlWeT5g1EGFlAeUOZtxCYylVAECttJBGa4WopsRtb4ZrV/7w917LYv3Zn/mE0703r+JlXe/NYgndiJPtbh8UpYhjhEB2NHr4aO/3rl24/MyVc45HC3Lz0vX3Hu//1vd/cK7xyWKZPnPzWQwq7nuJsKbCQf+qcVRcmcs3Gnv3X79///1r159BEAAIMYLNRnM6mrCQIWpPh6crrkMortK6lBIV2QAbjFxhoZU6jQvkyqwEfm8NEUagMzmanoz00yvrsC6Hw+NzWxtOFLjYqQmJ0yqX0rPWUwrXpsqVzkRo5VqzAYxYjIagqraiTlpOZ8Z1OWlS+3B6/OK1bcDx/YPd8Uw82Tt12sw4Lc293/nm2x+8M9Zzh58bNFF7fjRFQlmmMQAaWkTwcrnYXlsfDafl8aQbhcnj+89f2NSd4Dvf+uY8zhVAgwuX1nbOe81OkRWzZZLFCYOIIqyUoAhaaIUWnssrXYMiAwg4XkAJtwAjgOyHzsRnTWcJQvBhQIRwNpt5fIGsgUYRQI93nyTT8UorbHi+g7ipk8no9Nadu1sbV65duvCJFwaDZsfKEsEKwCrwm8hKSq3W1lqtpKmBoMwyaAwAFiLCuQYIGMM8F3BKELHWaghJEAlC3NUr7+4lrz1cHqMA7A2RF/guLbLMxhIryBmaJfVo9wCWlSyK/Mku5GgG5ULVvbkaNFurvY3m+mblu7/xB9/6X3z1yz/68ds/vvsvvvCXf+mpFz+ajMdGY+x2GFHALC5fvvTo3pODg0cXL17Ji4pg1O10JpNxo8H8Oa2ram/vSDcihB2rFcdo98dvzd95d42Cg5MTSKrtm9cW947qSmFkp/OMpCZiTZjnF1faIBuno/3Vc+dNufQskFjNbX2STiYoDiGXpRAInO8NAEWltKdx2ux2SwgNJa40VTzBiLY5/NzLzxW67HXIN+4cHB+PNvw1HkTDTNawZXB16dozKa48653b7OvAH1VjSkhaFlVdWiU317deeu75t2/de3DvTlDNyHr7dDiifuCurl24cdN1vNdefztWeJ4WlHKIUKvbOdk/LIqiEdAkjhWQgLG0TgMmASbGYES4BtgCc0ZHo52Npt4/lbUfLrRSZm3tfF3psqzfe+dtDEy/E6bxwiA8n8+ODw+2N9c3VwfU6r/0Fz5/8XxPGwExhYRAYhGpMFWMIwABBDjwQ9f1AARCKcIYc93aGoOQJQhwpozS0BhOYdRsnr82tv5//ZvfzsONL//i3/TXdiT3S0Bz4HbXLjUbfQN5IgAKWjhqYb+18ZEXnvv8p7qrq2++d2tUFjlC/cHmpz/5mePxLLE02LwMm5u/9lvf/Xf+1v/6D3/n292wywjTWnKHc+Z2m6sb6/3lcpjnscMpRshhrpKqSMatgMu6lkIdnowrDYnnz072jt97v9EN9XpYEsUhLNJEYY1cTpqNwc62gcDUdZ1mZV33VldqZMb5AgYMulj46JgWzY9fufCVlxuXBykqcJdXLo0huTdZ6Paqaa6PalzzplRwOZ0f7O9GPl3rBa0QDFrk5ZuXq3jBuZMJhXk0mpR1iR1ll4dHHkEVliZiXhgBYaGSdVVYaKaLGXHojeefGY1PJsvxN77/vWGSfvIrP/vKX/j5/qXLitJKyfF0PDo9qcsiDNxOt4kQhAiVdZnkCQ845EAh4QauAjYrKmuJBch+WC1zBqtHzxiEkBAIkbFmNl92++c+9eqX2+1+lpcWKEyMF/Hd4cmdh/sraxfObV0z0nqEKjEVemSslJYBEgCKIRWUGYQs44xSxrhDKYXQaq0p44RxA4EhCBJKXNdigF1uXUf7vrOy8f17+0NJBMEVtMeTY2VKCxQAaD5fGFAipnmTtrbb3lrkrfp2xZ8RPTw4Hp6M3hod/A8/+pbjhjud1TqrPnhy8GBZvfZ4Ikw3HfJ//9/59//wX/6Wz4GWUwgKThg2XrcdMWYnkxOErNUaAdRutJfDw2I5bfiBMVBDkkgNXJ5PTmmZ0o7zBC7ctUa3EVRVuvnclZ3Pvtz96HOXXn7JDT2HwZVObz4tqNMgQfMoTpbGlIzFSm7evPqlv/dvNXZWFvEkwLofUWoqWabQ2H5nNVmUxDjjg/l0mtUKAoha3RZzLCRFb+BeWx+YdCnKZHV18OjR7oN7+xELujIPdH7/4Tt1qOewUhBTjZnUPmUW2hrp1FQ0dC699OzaMzc+/tU//+d+6Ze2P/LS6XByNBwjxjCBGNhzG+umLgOHzsZHeZFqq5fJUlnt+KxURVolLHCVscxxMXEsAADAn4zQO2s6Y9tRACFEiGKsDfjWd97wXeSSBnW8MqlcToTIp3kyaLUePR7OJmWDOzu9fpodOwJSdk5W1gKGCRQ2FWUmc4uppxQuloVUIGQEYYoIsQhBCC1E2mruudz1vDDQGAsERln17qOD5vr2C888UxTzQdcbzpZIFY6l2JSAVEHDz8p6PB55HEFfxFabykaOd3J6euvgwaWrF7sf3CqrcmNl7cF09H/9p7/67jffxnSw2bwwOvrRf/Ef/ydXzrU3r19cljHFkayQHzQ67XQ2W+ZZIiTAmAa+72M4my14xCBiZVli7lDu7D+46y9njZcufe4rL29jYu6/flg8mRbp5OHdk8OheHKEFvM+aVNI4yyvct3trj85fDxPS+sQypxP/OzPnT7e+6N/8evRk+kzrTVcK12lp3snq4PV2e5+mtQuCyKNaH9dE3jn0Z3eygBQ4EUsn88vbnTfI2T34eNZXRwfHb7y8kcP3jrwVXFje/Xu3Xc2nlpb6faL/TkjnJuiTLJ4Xm1cvkRDHzn8qY9/rOVaHrXrWp4Mh3ld+UHIOHE4rauiEYSqLmRdTKZDSkmeSm0MQLCoq3g6PZ2eXNsOEMHYcPMTjzV7JuPgGYEQWgupBjUBCmlSlA1rbK/97mH2zR/dee7ZV4zfK2YPSZ2HgRt0ukboN77z2tPXb5QeqyfzdpO7kIOs4bFjZI5VtW5NBEFbW1MoV5uC4sLUUNCGAB7mLYBcCiWzAtuaY8ScCFqKgEP89jtHWazhMx9/Mcat49Mj6GBjACBunI0QEACQydEpwXDVb9ZFVggNlcYW31ocb/hRPM/uvv8gIE3e8Nytc9nd3V/79e9faVwg3Mu89ta5Tz258we/+mu/++/9b/6uY4i1pCQe0h6lEKBHtZ5pa8qCEOhEjIv51ChN3EDr8nJz9f7bbxus/9x/8Lc2NteO3nv89R++u7x/bNOyIO8HV043LgxoZhpuywAyL2Npivm4WttZa7t+rVSiVPjSFRiwg3/4vdVdp9O6kRBNsTqejuZCIaGrqu51mtYAAnFW5JYzCyH2HYWx5zaQHcNwvn5l8+67T8jJ+Jlr5+d5+tjOY+wPnN74dHn7rQcrP38xc0bGlNiigHquFwwfHa2tnIfAmczrGmSDPK+TiVjM80wukH/1+k3Xj45OHgXNJmR4NFtg6lljLCJlBZ3moLV+nqYOy4s1URAFp8pvs4gDpYEwiKMzeCo8AxD+P/7cIAQAIYyZ3+hIpJr9jccHp3sHx+u+73Ae+hwSI+qiLPK7d+6s9to/Pji+/sp2A/oQBqoGvucjjYzVCEPKGEXcyhpiwl1mDbAQQASNtRZCA4GByBKEXFRb0W9GNmze+sEP53F+OhpHHRZyUtQVp+h0Pk/jBDAnL3LPcTECo+PjKPSfuvHMcrGUdU0q8c5rr42fHN14+tnsqoptfnIyBlXtWNNrhbLySoQF8Gij+xu/+wd/7ue+eOP6C2lWGajyQjjMNcbO5/NWs00JhRZjvxFEUVylngtW1hp7d19zdPV3/vpfHz65+8u//CvHB7NkKtfcRgPZF166cfWrn3Za7t1//tv5ZFJJXcRyNWxnIqnLAkIrZI0Jferm1YMPbt1779aa05ZCno5PAx/XUmyf225FzXarU+WVllprjQkRWlAGKEUIGoQABBoC/ZEXngMl4a5mESsVDENnUmRN3I/Leo06rud3+r1pMhdYrm4Mxov5bDpMZpOwhTwCZVnG83h68oRRGi8SiYp4uXAcL02zw8MjjDGlYnNjCxBVZinFnbC/GkUtIyepQVooaBmlDib0J9YLZ1NnAMI/lQUYYUDd2tK0sovCauJpgyHz0iJxg6CWKawtEHhtpalqE4bRrjp899aDj690Ht8/Pne1kRe6wSzAAhFDGeXYsbbGzHCX1bVWRhojRV1qRBSwACFFEW5ySYCoKhmgySK5dX///EdeffH6xUW8GE2nkyxvMke0eyVEESMu59YYl3Aj5f7esUhTMZsM9w5tVnDXqyXYOxxqn06Gky4wy+XxwT11+dkv1pKNpxnvrj5+8v5v/Obv37zxErQlsIYQBoBtNpvLZFSVI6O564QMo+5gNdm91fGcvfe/0/Pcy5cvffef//qt7317pdm+ONg8qGf9VtcBi9YAOU1SLUbz2ZIbqgUAFpS1ZIxbY/M8z6wYnN90Oq39b3/LY1iJssiB7zq9VqSLsaoLazxMYC3zwI2SJO31B4uqMFOJsbGmRli4zMbT2dZg7VOvvJikQ8M0pPpROB+d5kFdjau6fO/2y1/49Mpg5eDJPcDVwO0nxzPO7cHu3UsUBxws8yrNFkmWRFGEMOp1Wn7gFwcnAOLJdB5FjSb3Vzc2i1oQBNLFYnfv4PUP3s+TfVqfXllrEhI51AMA2bNXrPanOhsQ2j+pWwMQIgapn1ZgvCy1xqurOx//yMd/75f/0ShO11Y8BetOp1nGSStoNjvNta2tHCfvvv3g7oP6b9/8itFcKCNUAVQiC0cDIlVNlLBIQ8oJQdZqaKy1BjCssSkAMKFLnaDUcJ4IQPxUWEXYZHx6enzcbLdDynzGxSw5ns9ZFERBsJwtlrNZPF9UZc1VvdMMUa8/12PHi6Zxemd3D4QMZ8mWTJ5/6fLDvdGjOz++8OLPjwqh69D1e7//tW//4i/81XPnt8fLEwNdYwTGmBLHGEsoqWtRQoSAOrca3frB715Y6W53mr/xT/6r5eP5M1vnO34oQHCqJxCo3kqj0mNbToanx2UtQtoEmgYONUXRaYZSZ5TAQaezdnkzO95fHhz1G02UWYhpo9Vq+I5sqL2DQ4xAf9BvdaI8k4iyB48e5loQgihBWpZAZ4HLFnm5nI0DEnbbTqFLUUw9j+4rC+JlQXk9Td57/d3zf+GLhoD5YqIeC4xtFDBRLAkQSkvPYaXihDlFrSFhUaN5eHS8TLNmt8eZy7lTVfUbb709ms+W0zE2drIsJknsO9VqFLpuUFdKAAUgAj9xXTAfzs0+WzobEH74l4MQWKmFMKVASaFroSkPFmn9sU9//u0ffHO4PGoon0OIgI1CZzmfzZcO5GBtZeP+3pNCVHkKHKejasG4q5QFQBmjgUFKGlEb1/GR1rYWkCmMEAZIQWgplcxvtNb81vr+0taKdNc2bz161I98Fja0RcAigonneSuUVsAaZXwvUKXCmmQ4f/byxSbWr/3wx8T3eRQsSikdiBjgOusWo7/4kYvT6+v/8OsPZ/t3/ca2REGrMTg9uPPHf/Ctv/W3/7o1dVIUoR9obepaGW0cx7HWcNfxMT863Nvq8AuD6OGtd7thEzvGkbgcJYoaajWCVW+lh4MSRoR7LoaYYZ7XdV7kTc/jjjMfHjNOom7U6PoHDx/apPZQgDlZ5lmOKw/iQXc1z+oiS+tGZQyeTGZ1bRF2HUqENQgiLaUQmetQCuu777975dxl1xcAq7pc9LvtD/bzoyTNar0Vdl//5g8//Ynn/TB4vDuD0Jy/uJOkCaNMq6IoaoRx1F45Gs+VsU7Q3D0aDydJnBWTyVQprZWpa6GkBhxCrRmAFrmNZtdnBYEJsAQCjAD5cBaTBdYYg84eg2cBQguAhRAACwGwECJE8kq7YavfzfaOpq1uWyI2jEtSmRrQJidVXrbCAGhblmkpZTEtCOXKiL1Hx+Nx1nC5togyDF1KjSNqhan1IqqsIRATa6uyJi6F2loDm61OlcIaeA2n60e4VJj6waIohqVkSg8aDamNMTYMfVFVdV4oqSligR/JQgUuXiTF7vhIECowElVuXQcENFUpycfbvFopjqKo87FrK3/4xq7nrZW1JJY42PvRt3/8M1/5IgyttVKIEiFEMClFXRWVUraShTSTZHr4sStrB7cfXty4+vr+XVkavxvlyQxaTYEmsHJcVUNRzSZ5GudFUdRZmdcQcc8PRqfjPMt6/Z6ySiFxenTEFcYIikJCS2VtVAUAY73Oyniqjo5OPK/R7a8YxZWEwMFytp+nOVCOlpp6tBkEx2aaxmPGSFHkDZ8p4wLuzLMcIkYAz8fD3/mNf/nKT73sEgdoOxlOjNISyXsP76Vx5foRddg81cfD0XT+II5LA6CyuiwrCKDjeFUlpJAO9YysEWKu70MLZZ0BijjzMLGcuwDhD7ejZzNXfxYgBAAAYC20wAIEkMG0v7GTxDxeLF3OKMa1EAqS8aK4UGgfSKKk0/A2NnvN1XUedV5/941Hb9zaPL9xeDI+Pp20L10wQlgHAwARgBQT6ngQA6AqaIyuSggldiEwFhrDwqi/068yow0JvFBJvbaxgVb64zQPMANJAbTMijzTUgJkAZKiLsqCIco563cHeR7HovbCSEFbawEdWlZZXceozkMs15t4JObno44L4vH0EJmyCZ2wufrBB/fefOudp188xxgtyxwAgBAHwACMgBVIycf33rjUDU/2Dzw/ZG7reJgx6hkJgTROwDgnEOkkXrAGcJphMJMedThypVpEzUYQRafzY9fxqrqMoq60Oh4tQ+xDg4WQQbNtrFzM82RRLpK5BiWiqKqV4zthszcZJdPJbDpPuvN0GwyAgaqUBtrLFy5Yqatqrm3FuVuPSwyQ47gUcqztoNX98Xd+0FoJrpzb0kDO06WAOkReKRSLmotl9cGb7y3SohTK4QFmIbLaZYgSnmW5qAXBxAkc5lEe+g6kEoCy0hQ5jGpKWVnEEtdAGwstJBDBM5b3/lBnAEIEgDVQYwsNQAbnjM2FfvPN24xxig2TyfJkP/D9XYUPxqVleauBmggt88Sp6LJYXNxslskWaLYLaFYubCziRC2xjjyRCY9IqdRcSsdgj1kIQJ4kxs4jx8cBgcCZT+bM2WxurpkqH4ThCzu9H2t9Ws6FYNHFpxelEPF8MhumlKH2ioNDAtO8nlpZBD6FtAa46DQ9ZB3Iw6pMXGpXKeEC9Cm/+ezHwusOe7L7bKz+e2e09JsbImzOKSKdR9nhH3//u5/+yPVFPC9lbRQGqKkUqWBsybIxWoTV3Sbon+YO3dw+VSyBmyZ/csEzXSdMhACEuM02gYTAsoBSz5O2cBRGfogGvXBazDAseo2dOZl4PSkrSbOQ1SjTAjuMQCgFGk8KZKsw5J3+irRmkuRH0wVI6ipjJ4fLaV52U71UUGU1E4a4VklH20DjKi2WWjvFovCUDLDVqsBA+Zqt0ei9b7x+42dX19ZaMZOIQJZTEDRvTUdv/ODN/cOx53ejIDSQYiugUbIAxhhqMSGYccoowY5GtWeElHgIQYuiNkCl0gUnGDseIBwhoi0wAOAzGAzPAIR/KgiAVkar6XQ6nxeN1rnZZHbh0qXRdIww5pw/fHxw7pkLEKoiV62We3p04rd6HnM2Br2M8qwY1oXqOaEmxne4LZQxGkJkINDWWGu1BoygLCkEGDdwxIPW5GS82g4Ojp7sP7ifS3RyMO089RFBg+myKIsycAJJaKvTY8xZGGhMBaEiGFhjdJ0anbnAhrwd58b3AhI2zq26XjYrTocvbfQ//sJNTA5Yvx3M7CB0j+uKwaBSNYAaEvbWe3cOxgtjSkyRthAB4Lr+PJ9zl5wcPtzoNLKyDJs7nc6KkY1snsC0iAlpRp7QQltkDaSEQ6wXs+V0PMuzAkAahV0CnTJO+1Gbu4EFU+bwxXwMrUqSsqjrwPFlLZQwGFmtkR+0Q69VypLBejidLvJDUwer/RUngIcHJ4OjqOOarK6oriuNiE9TJTR0PBxG3EiSAoryImNhyBEbNHpjMXvztR+/8srHdGBgIwDEff+DJ7//xhvZPMtrPRkfE4z6nWBnYxB4jtFKa0UhA8AaoJSFdV5CgbE2khmIUZLEoJpDOGDM0dgFEAOgLbDwTA7qPUtlaxBYADAJo2gyHt+9dy8rSi8IP/v5L5yejqQ2jXZLQXIyKZIcxKlezkojLZQ6noxO93frNGYQTCZD6rFU14Rgn3MArAbGcbkfeIQzDJG10HO9ZJGe7p8ks6Tb6D2588FrX/uXbLHfzY9ayWF59+1n+51eZxVCCggjXiNsrzh+21riuVxbkJe1+TCVSbFDGaWsEbZMqdZ9fwca+cFrT5nkF56/aotZAQVoBU7gdByshsM6niOPZFaxIDoazr77+ruUekIaZW1eFrUU0GJd6YDKKKAK2NXtC37YqTNhCwFqMDweL+MSYKeSOssyrVTY7q1u7AReVBfCSKAkvvP+w/HpJF4WhyejNC+4y9PlJE+XrUaj3WgIUedFQhnyPdpsdqsKHOyPRkfzdJqElAcYN12HQ8gxy9JaG4KdIK2k1EYTXaB6VlZJgbNYu8TLTQ0cbBAUlYjcEJR2o71SzpbHd3cd6ynjfvNH733rW29mSyNrpgRznSaj7ny2TJJYyAogSxi20EgtLbRCVbWSxkJtkTGoEipJE6EqTEyeFcZwAIi1ygJjzRlE8GxAaAH8Vz84I6XWZjAYfOYznx1Op+tbW2GzdXhyWitlAGh2V0lj8ORkUUhugVfkqsyrIik9Foi8bvjhxZ1zeZYqpIHWyFrqUMIJYtgAY7Q0EFgIKyGbzbYx8GDvOPAaSZJQDHfWuusR+9mXn1OPb9nduze2Nm2WVvGi5bkho6CsTV5Ojo6rpKDUcdyIUr/OVVbluVrKfBw/fJsf3AkevP2ViP3PPvvipRahQFUQH8dZXFUuw4HWISclVgmoMKdFVb1z+4Oo0SKEIIogQ2VZGKlEXnFQUWTcsEm8ZiVgGac+BCuNju8GszhdFlVW15xizmmljZBiNp0AqVqNtpZYlroTNBAkSV5Lizw/VEXhc9dzA4c7rUYLAQSMch2GIJbClrksUhH67V67t9LrIwSqSgDA01wtUikANzSoJMrLapkui8IkKdo/iud5VRqdVXVeVAgRI7QqK6IBLtXo3oGK9Xd/9PaP37tvoadrLAWm2CPY0Qow7riuxx2nquuqrpXWFgJCqeN6jDtK2bKUCDvNVufS5cub2+uEGwQxAj4A3AIFoYF/dib8/4IQpXGS9Pv9T/zc3zv53/83ytrJbJbkebPbcwMPaONHjXduvdlpON3WACFQVRZawmg4TZJslrX7vWQ5A0gZWYs0NwwUAORaeRq2OLSEQcqIcr2o4bKokpB6jadf/sT3/mD8g1v3XrxydXp81CgXb/6zf3TlK/b5q89mdTl7fNRu+J2wU+8fboZ+VqjSQFWVosx1kSbZtOXiFUC22vklXF9G9Vefv9xp0SIZAoJPZ6VRbFmXhlIfoypPKo5yIijV165dSLL56fDEwMpyQh2upLJaW6WwLK1S0PEU8iwwGCiVL4KgtRL05rNxJQVxiOMiC4S0dDGfuJwg3wPKjEfzRhAOWg2M65ri2kFa2iouPTbY2z1GGPa7A4oKBAgESCulNUCIFlLVad10fQlLt+lnmdLYEcZ5sDtuNjmrpEsYdRgogUmQtmECytFyVlWWeA6jgjOHUgysUlXRAAwl8t0fvrOPq8zowCglhTYGEwKsXVldW+0Hql4s5omFQGuFEITQQKwIAhqbIGrwBqNNUSleFzX0LEIa0YCSBrAEQAn/VabizO1IzxiEgGCMkbVWx8m/8Vd+8bd+7TfuP3pEHZcSZIy8cPniwf5eCeHheLnRb7kYSqUIJhAyJclkOGs026HrEpgha9CHx0AILAYQQ2uMwkATKIFNy6rdagdOSysQ9VY/8/N/7bf/xa88mKvR0fi5i5svdsMP3vjnDTSJuBssxjRBhkc3RFXOCCAhcNvDeeJHbgoRcJttoPrFbHPdvHCt3fVAE9dxNUMYiZosanVw/+D29w5eP04JWiMEDfOF03JvXN5caaLHD949PjnYubie6lxLBBBFyNR1WS7jsgWp51rsWFAZWYI6LTTwd9Y1aCxEAlwQBJRxiCOvsdL2t1eO385OxycQwVYzklUaiyRRgdNjSkBTWWqpKAF3idWIUTfwA2O0qOOyUtByyv2krrLxArpIY1xCM5ymAnqHJ0krPF3xbbfXrtPMszCQwVw6oOEcHD9AkrXCbjUrIISIQIVlpe0qinwL3zkY6ovNzNbpOG73VxFhBlCAqFJyd3fPJWJ7Z5s5LsYfNqwJQjBjXOGMSGIFSpLCUgaMRhhwB8dZTjsUQApACYA+m/XbZwpCCyzQljG3xkTU5cbauWefeeZrX/sj1wuNVossv/7Ms8oYTUhu4bK2lVVQVgQDz+8kiXWYpZBqXUEFCKUkCq3l1EjMgetiq4XWVmlrEBHaSANVJZURmGHDyM//jb/5y//5f8658+onn1e6OMfRD7/9ax//7OfOP7N15/6909H+F64+/XhR3H30vt/ZcjGLKBCOtUXVUcX1decjl1e4U6VluhClpVxXdjRLXr995857D9Y7V5s12X2yIEZ11tvXnr4WMgBN1ukP0mTRbFwvl1IIBYQSybLj+5ZxYwtjhYUWQ6SUwMTUspzNp0HTd7CzFDFjNPBdG/gY0ywpZ5OlqPxWe6BEjW1ZZqXfHmhbAGCsBqLUa6sbQtWyUoxwBPByvszy3PMjjIK4kMT1R4tRHlfKOMA4XtBd99pHy8fzabzVWEkqzSR0ETG1yco8Ie7+Mse0Nc/q2SIrvIYxnBndsNyDMEdWIIol3lrbpB3lBEGSV8s4T9MCWGtNjUOepqVcJo7De/0egSDLMyIFpqquaw4BxFZLAbW0yEpdAdBEmAOgAMDAojMZB88MhBpaog1EAFAlsFWaQK3q+qMvvfTdb/9gNJ5s72wHWbS+svGYPHCCVknt3rJc8RwxixstV9Z4/7jcaXCEiUs8oh1tKwEtha4HsTUZh1BR6hBGDEKYCYkApgCjPE5EdkQQcFvt55+9dO/Wrfmy0EWx3Vw/cQ62XdetNY2zG732Ski3Gqs3m+F7tx/deuduUdsWDVa77tM3V1584YoS4zxZKE0MCjy2cm9y8Pvf+FFlyVf+4l97+bNf/Orp8D/4B/9NAckrn/xEWpSno2Hk+8gd3L57+8q1a5g2kJJlOm259MJa73TXB2aaL482dpQTtQ+tBRRZC6RWopTtZifJcmBIXWsKWZaC3Yez+VC0elsAIKnrLC2UAKBUSmRappVQ+TzuOlTIWlQCWyhdU5eKOg0JeFUbadBsscyUyHTlMr8VNYjLta1EmbvOgDu8RplQpoR4UU8zhEo4mEmQEUXSSmJ3LCsBndDgbe0qnd+hcISIX3llXRggx9lRVitoAacAAsx5u6rVo0cHCAiIIYK2021CoCzQHDnSYg0kNmU1T5RSZl1DYl3api4DuLAmBBpCoMEZ9Ho6I29sf2JsATCFEBurAYYaGtdz/+LPffU/+T/+p8sR6wdu5PC0rBrd3nJ0/OjgOPUdJmWBVIuUo3hBxjXmV9I47WJY1SJZFk0/0Kquq9SBjLueQchiDKShxIhyaS20JXJMXhfl4fHh1Y0NECeP79y5fvlqWYvr156//eadlz758ae3Lr/xxhtb4YDV8WrUevqjL73Fnfu3b7/09I1GNyxhXiapVarKYaPRny/FH3/vOw/3j28+++zTL3186+LVuBSXrlz6z/53/+E//We/ZrNlg7sg9LWqK5GeTIez2fjC1c7x8aQRgsvn1loemSqDSggBLOJEWz0eHiopWu0BBTZN8hpDBGmyyFOXkvG01WnVlWh3B1G3v6yyXNhcwzBqTvPCsVBZIg1cZmWdLlyPM+YpYwoDJGWQsVrpsq7K2tRSEEJXWiuMIlHGszidIB1bNZRyVYOGyQiEGiinSTlEp8dHhclr6aVIkXbjwJYnqtoKuXbovLIVsJB70ziuqpxSVVtBsaOUIhgTQq1RyCruh6XIlBRJUflCEoKB0VYXRmoDgLWFqDW0kCGCkEmyPIAIAGR+EgfPYprwrECILATAGAAApoxba6xRBto0XT797M0vvPqpH3//+36vVaYxZs7G9rkkXgijvd7a/r37cyPeP7jV77Rf/tQ1x6OyRBBBRCl3HISJUhAhQiGx2lZKQWwBNFZVRZK7nDNNkUoIsYBSpfNnX3q+v7P13mtvBtgLXMcNW9/52jc+86lXNlord197/cVXP2JxoZC+9txqdwuvr/ccROsl1nWtFTLSe/Rg9P57j2pGv/SzP3v9xtOA8aLMMabxctZk2JNxVSU8anWoWWSLz3/0qZ3BR2fTJ2KGz7XpWte39WOQQ9djp7Osc/H84fBInqSttdbVZ585vXWAIeCYKWWF0UYjVamm4xipAzeoYfn44LRCWlU1YQ4wqEREq1JYbAALml1bIgGANtAYiCwohTFG1EIqZQ1GhDqO41CHleUiyfKFwHOKC+rfH1cr20G7N4ClSZalFzVVnOhpdbWz/jhGc+QIQk/TbCLUjai1XCYT7sUQVADXUjLGpRE/qcuHEFiLAIAYVrpGzBWQEA6p4wAIgdHWKlnnUnCXu55DcORxyj1WWSsQIQBiAJAF0H5Y4X8GdUYg/NO1xQAgYK22SlqLERZ1/epnXr3//i0KweMHD5I4ZpwPNjbHx0drF6/cfbhXKem3W+vnN59/8cZydLcRelpmlHIUOlBiQpnDA8elBiEArDEaQoCAwVZaoYFiGlWU8aKuKmXz3PYv73x6rV8VZjYai+OjYj75wx/+4GMvfnSUzH7/d35z6/LV9uqgu7HSansKFvNFBQtsAMxLPZ6kZQle/sRn1q5dXIgszVMHAiXkZD5vdjoORls992S4rOcnYej9xZ//4vVrF1Sy98e//6MgM6tupA8XZXJaiNqJokvr1ztPfRwOngZiWOxN7n5vIhTwGhE0piwqjSWGxholqzyZjtI8ZZBXUh3Mxp2oI6ydTIbGDbcue5CQrJJAQ1WrvCwIpQRjAIDWJstKwjl2GMLEAistKNIyTpS1IfFCBXQt2XSW3dnLQ8eLUICAKI6Xs734Ali5GAzK+OD61edL7s/uvpkWCxA5hU1PdDWRJjMAQowJKiUwBhJjMYQAAggMghBDo0yNkGk3o1YzZBQZS4CBnHIGXUY4IcL3uKgNAEYb47gec5wPDResRWe0ePSMQAjMv3pCrY3WwgKAIINIl5Xcunz14tWrs9ERZSSejQE2a2uru7uPKwvCXl/D4tOvfnFx9CCOpxRrDqmDqJCplIBbAAFUQllNrLFIW9clQsJKaYxwXdYucSHnpRC11IBia+STh3c8L2x2+xdXr8Jnrz37qY8fP3x86/Zd3w8vwfPDB+PRndPVzfXB+iAzZa5VbskyK1vdtYvPvBT4YZ5kdx7cDjrN1ZUVWaWT0Sgv8m7T4Y630m/e/eD2J1/51EsvPgPE9PD9bxK9eOZSl4B5eXJYpdOGC0VVHYxPe1t9P6sOj998/OSt07f2T26LncE6NapKk1pnjTUeRQSilPvYW2khChABrVZ7XhWBE9RlSS3JqzrwOhijNC8jDZiBuVSEUJfxOE0IwYw4zAs0samopLVVqTCi1unUtU0FTLTCnmvS/INb94ojfWlly6mNGB+1OLm00RpNk4th48LOpZFxh0mePXhtYnGOQWoyiZkQFWVeWVSaIQ0MtQhASzCCGIi6Albpqhj0W5trXWxlmVVh4FHsIISI10YAFlVsjX6896Sx6mLqJWnRthAAZAECCFl7JkPhWYHQ/oRDiCihGlirraiBRzmkuC7rz375S//tP/5Hb779pqmy/uZqUua9lZ7fbCDOZ4tpo9OV8bEoY48orImuhBIyLxUkoakFgLWJa8fxGXJ1XcuqwoByxmSptaVM1J5lCGqjAIYaGKvieLqcZ47nuqE1eOfKjVZ/87u//7vS8elmJz4aHz8YrafQGLEsl82N1QtXbva3zwuj7w8PrCoh0+2Gzxkol2nowFbYZLYoK7m5s/ZX/8d/6cZTTx8/fPfRB9+JPH3xhecareb4wW0lFHcdwpDWoO0mNM/ufP07xxk9nt1d3pqtk4/OlzkQhc8AxqDRdDotapUwTEFUUQ6qKi9r2m62UAED4wRBY1JVDsJG1kZLjxLKEYVAKoVqEVDGHS4NTyuRmqzExhAiCTKIZhLMs7SyirYYxsKYhc+dayGL5AIZtXY1Cj2L1F4EaDtfpUoxhQK3dwzZXVlDKKCtHIfT2gKlGeMooHVdME0ttJhAKWtCUKe9GgQwDLDvUwtgjWiyXAqpooZrZFkW+SLZs9LVQGOHWGuV0UoKAIwFEEFgzf+77+j/L3U2ILQAaYCI1RZyxAMPCqNqa4E2xmoNMNq+eKnVXf2n/+0/uX71GnVwf2X13Opat9Xo9VqVrra2z5ejx/FyvHW+mUyO/YBD7GBcWCOgtcBiSglyEE0tUtooS5lLCaNMQQVMISwADnMtxss4pYwO2q0iS6UoC1Fi4uzeHW7tXPriX/jZu0/uQ2WeuXm54TUwonktrVaNKISUp3mR5DEwFiAANcWQlWUJkXU9Xpb1aBiHg7XLV24gjWtR7x8cbvY29PRg+ng0sqfp6NhnMHTZNK3LQuEFjGvZ3Ohurz918nDl9dvfLg8PSaupKREeUiqWMqutAxABEDOnJTRL8qSCXGNKgPA9XgBe63mjxxFwofKKpKKFCnqNQlYWQWShrMVMyETrHAIJiUM8W9fZciGhSzzrRF6FcTZZvHT53IsXulfR0qURIpjQAqDEiNopkXtoLDZW4yBq8CDYT+eDdgDLuJYqCJoKQAWUMRYjjAkAEANjXM9B2LZXms0AW1UAZCGEju8KbYbTw+PTA5evNpph0Oy6tNttRRvruQGJw5sIudoCCzU8s2PrzwSE1gCkAeSmNJQJi5lOCYYQGYgMRkgJISX9hb/0P3rj9deBVVqo4ZODwHUGrc7TN29A5h0dHRPGtIqE1sTTGjLKQt+3TECMHIgoC2kBllpa3+U5xLXUiFCIkDUKAGggMogIAxIpu5HvhH68WFhkhKoZBYjp2fLUcaLVqOUQU+dLVY0sbVAcBN2VZRJPTw58j0MjOcRZbtutPib+dHnCPBiGYVpr6nW8sG+tUymNqH/uxrM//he/slHX4x//gHAiRNLpRWS1n2Sp5wZIBSkw557bcTsr3dLZuTj54Mm3Q4NqiudlBR2NEQVOBIhFTlPzXolbMznCrq6EkTKPSyWCJtki0ZZbVlDVnAcNz4eJSUssNEZlbcpaTLCRHlfQzWsDMmHyLOSYMr92iqlZHg/rLa//uQuXOnA3y45xA3aa67WoKeVRM3BSQ4ZpWs5r1GqEge8Hy3iKGx2B59w2qRdWqC5FSWtLGfU9CCFT0hBGhKlLXTHNfNeHiJRlmRXpZDItlVgd9DdWL7qtQKMCizazpYMSrY1QFKMIQmatMhAigM9ipvBMQPgnghBAa82Hd9XWaCU0JQxAkCbJYG39z//5r/7j//K/GDS73HGXcXpweFor7Dre8cFuk4mo2cnyUSvsKb3USmqhrGXaKAMUkoC6DGEslBZCIQdDhIABAGLkhNLYQlgNEHeblEfKEAkJRNBinOTSdSOpMKxVUealFlYLjGgpcq1V2GxjjBzuQIwhhHmRlUJGrRaitKqEUApBHAYR52EutJCl77hC1uvra+vb6/Nb77YLaIU2UQAURBpH1nUrrAJ66dpGXaR8EzkdG55zP/kLH3v/x2/PZzVxAs/1Oo2ez1litAhc4zM+aNYMI4CMhgp4GSwBqlzXNFpeMkstq2pZysoWoqyt0a4TQ5z4XNsaSIGMBYXShKF2K6fkWOjZYmRFfnOtd73puuVBFKWi59Yqc5qg1+h6rgoYH4/y5tFyKhZeICB2WaPN9BJgAl3CECtkqUwJQO15zEEAmQIRaDDUwCLK01IVedbyeC1kWZZSCNdzt7d2+iFnJCyUoB70qGOrmlCEMEYYA4ggwBAYePbo+4nOFoQAAkAIxRgbLQm0EBhjNUIYYpzlxU99+cv7d9//+te+/sILL7SakVYWQKYrWaHYXQ/8oNuI/DK/57nYCCmKmjKqlJS2LmPgIQYgrYUwFriOCzHV1nLGKqNLoxSiiPKwwfwokFpRL0rSmGBKKKuFZZRQ4kCrLQQWYg1gGDZanTXiBmVdhlHo+Z5UcmVtjVJclVIphRFSQs6nM8dTzDWzWO1snWeYaFMC12WOy/1wM4wsg3bd0xExVq+t9fPxwnpY2vL08Dga9BSu+TYCkfrKuRu7T/Iff+eRzEHEHaAVANYoBDEdbK7dJwAZ62OHUCQZdZqi2aUBh7M000VVlrErXB85zFqJ/FGZzq30NTJx5TInoM0MonkNThbpvWIRudUvfunGZy5ePH3/Xi8Sz3303Kwobt89LM180OoVxXIxKShu7qwEJiuG5UT5qzTqgnwsgJAEEIIQtBzbECPf4dwaWyPgUAGdw8likZUGoiaHVMnFcuE67qDXazSiTqfjYZWnBSbAZRgpjSh0HKq0dtyAOr4FCEKLwJkc0wvOHIQWAGCtNgZAAKwEVkGIDITGAgSs43if/cznCcHf+dY3a2mv3Xy6s7IFpFhOF0nYC5vPNlr8cLnnRZATpiGxwFpktdae5xNEc2UwwoRxbYFSGiBsISq1ccI24R4kHAKAMNGmVNoqZbnDjLJGAw1MVdQYgqKSmGAltU7S+fzBfLnURgspx9NJVhSdbu9Tr3660Wjny0U78B3mP97bpX5UF1m/3V+cHH6wt6uB6PWj8dHp+ZWt+PhhpUSAeWkF5XBYjaM2j9V0ORx3L63JcthfW+l2L06PgTOd3Fy9wIn/zg/vOdgsJmMcGr9EHnVWu82L59cOHo6Jli5oKeJwHG93HWZtNa1VYl3qMs2ARYjxxTzTVrWb3twizRupsMssWyg71No2Il+Ya332pY9cvhwSJ8YFlCOw7Pb7vWUyXp7ssFa5TMu6DKjvA+BXM8c0YWsDeVGlDSQQQOb5IRPaanH90oXz65smz6ej46NZMc4LjzPmeI4bNjk0xdKnfGtro9/tVEVW5qmANdQOwghZa3WtZImwllprqyDiFmAMIAQGns1oeMYgBABoY5SUVitrpLEaIgIsshBqazWA6zvnvhRyz0O/8Wv/Ml2cUgLHR4fxcnTzqfUg6gW9ATt+u9b7hODQC6WRmDEMIHccCz+sycFFUQKdNbptQmiZC+y6zU4XEbesBIIAWgABHg6HrVbDSEUx9QOP04BRlKOEMhZnuYX44aOHD+487LYaFigDoLagLMsf37trdP0zP/Oz+XIauaiYLWGZNxyKvWh0evq9P/ymAyzA4OC9/FJ3cHBvf3y8d/7GDo+4AEtlq5ICQInX5LwBW6GVxTiVNfGd/o2N4ZvJ4YPbm1ubL8gNYlMEQDZJ7DRNh8MsH69eaDoRE5Nk8jgOgoFC8fr2ZVXJk5MC0J4OenNQVxAV0MypjZUqxsMHFEyNKsvCbTQUdQz3FNE7IgxVvnf3zWsfu9Tt892pJl4DQhQFYVFXi/m02WxGvI1qf+BUx+nUIz0DAeYe44ziKhNwNl0iY3dWwwurK00MJbKnWXZ+cyN9dAQDCiATpYhnM10nT9248czVS1ZL4eB4aRDGleSJLMo8B4oAldWiQIRoQACkAAAAIAIWWP1nbmv/2mWtIQRDBLUSwEprjDEaImIsMEqVBjQHAw3K6zcuWvP52+/dHR3eX07jLC/W19cAYhSFftitLNBCmlIYagzUwkosCGXEQiiklFp7jCmli6qC1lFS1XXNELPGYEwoQYvxgmBIISSEQAOQNnVVZKLErlIG9vorQur33n7fdV0MLTRi+/zFUojT8aTVvGxEPT09PNl/XAZ0OT6tZV2u9JeTycPbd12TE2Uxwzubm25pZ/PC77fCbiSyhe/VpY4b/ZB6lg0C7khTz71gsMyX81L03AHtrrW2ZHk0azRMtsigDbHCp7v7qss3r26u8/D0cAwLVYrd/YPx+efc9nZ3UeihhNLrP9bmQCUTI6a6Lm3tEXPp0uBF7DmBN6rnsSqef+ElB/gP33/0/u68CtX25Q0WqCJf0Ao5hVOhOs/K9ZW1ZDnxWFPVZLI31GM9cJ1Jls9nM+B6Qeh6rqlQE9OQQ+BiUE4Xs9GwynINbSdsuHSULLJsWTJAgM5aoXtpc73hsGyZuRw7oQsYmKfwdHZ8Gu97fKsZcIoRYURrAs2/Mh21APyZ5eG/NlkAgAUQIGQBIsShiFlhgYEIWGi0tdIAqiFG0NSy7q0M8mRn78neyy991Cg1vDCdLo57DV9bCMOO31ipTokARSFql7iy1rVWANfCCm1cgojjeIy7BoBaVBwRAHmR547jcYaKPMmVjvNkfWUFaG2VyNNsnhfSWGCEVbkA7PLNFzhmjJHNtW4VzwPPHzSjR7t7LkJJljHGHYzrLFfAMcZYhh48vLeYp6YoPCR0ll47f6kczt/8/ttttzW4sqYNaDAfWBn6odGaE57LJK1kv9suykSUanQ6Y8ofrD3DLjkzey/qWbhv02UedMLOWq/E5mj4cHtrR+cKodOnXu299c/vvfixLRmq5V51eFC9PXKHehyb2FKGQOXB9IUbVz/7uVefObfVCRp1bU6HUwCxG/nTK1v/nfMNmMaXtp+Jn9zOD1Jq3cWjBe+QTtju9foHB0W5AEWcyaISsYSlHJBBZpSgJHJDrkuoNVFGl3UFdHh15eHtY0LZ8x99WVgwnwy1QtBo7gd1WUWNiDkkK2OIFeMUWZqUxmIjIMTOGmQBD0rOcVWoGiEDDYQAGwMhMBCfxa7eMwEh+IkXPkQGIGsRMtBILYV0KUTAaKshJABhbQWEphLo3KWn60q/9f3vOghTLJ65fm612ySYAEC9xmB54mMuqG+sRcASjChjlPjAZFwU1lhsAUEIQYjqugQA51K0m2Fd1Xma1kJy12k0wjJNyqLM4wXAmjuozJKGw1KNtJTc8wCw3W6zpFYW5Wg4judLiCnUgEGUxnEYhBjqIIpqbg8Pj/N57AJbZ8n5Xp+k6fD2wwiTZqvZ6bctKqiDGAuQI0iAtbVFWTZbAwPdsh4ul5OQBqF1kMVuuzmzZRYnXY/JeeIHXVmZ9GB8aoQTrq4/9RSd8HlUfe6XXn76c53Z7tHh0N7brw9qoJ065Hpne+vnPv+Krxf3Hrz/o++9psX4wtpKOlbXrz7PAn8hk7Isfu4vvfD6bw0/+MHDQaF82ZDEykJUKBVW+A1nMFhN5rHnQsFqJ4pAVXpAIVEg09QViMssk1MujckqKhThlIYcQAIddvR4DxjhMZ8iUomKe87V61fTMoWIuZxmVZ0lmYaN48lJoW3Y2qnLgrkZhFYpigMPMgItgBYACOzZ7Kw/Yy+NIZJCaGs+rPAkCBillJTQGmAUsMBAphHLlbl049nPfPmnSdisy2q910YQhO22MhBQV1MXIOi4hHLkejQIHN/nBEEFIGSs1ibNS4SJ0qCuFYdVFQ/rdFYlC2KtyIp+p18aTNwQMS6kgsb4hPiMQ8LzPJ9Nxi5jg15PCu0FjaSUy6xY3dxudfsGgLKWj548mswnh6fHs2WMMHU9v9FsuAhtdfuB6yySpaHWafPVC4NGGxFeGVgqLFKRj6aTk/GE4Uanu1HXshZVtxf11/xCnZblqZQxgdbjLuMexBxBXiaK4+jm9Y9G0SZrbo1r/1FWPPWJZ0hpqzS8vQjhzo2rT61/4mrjSy9sXl53p+Mnn/78Zz//M1/NNFfTNLI2aPAMJDUusnRs03gjbD598eqt1z+w0sHIr6s6iMjO9bUCJA8O7lquSYidNh9s9ygDmukaVRAqXVYGkEpqlyFoFYJWiDpdJtev3SCI7N1/KIvyM5965dVXPvrRF25Ck3oUbK+tdlstCJCQNimkRvxgND0azV0vKosidB2gDYGWEcaZCwFS2pzF+5g/0VmJhH8qTDAlFFiTp3GdmSAIGQ80tAhoDJGxwCKmrUEIbZy/TBkh2aTtMlHXmHBpKSAe91tp8cSI1GWuUVKZClIHOUZqjSCCiCBEKHPqWqhS8ghms1Mz6CEJqtq4BDuULauq4wcWzqui5Ig6CElgJ9N5VSmrVZnFVmstdbvR0uaorOVWu1sUheu6nXbLb/gUwyqJT8YnKVSizH2IQ8pargdqVSSp0mL94rp16nk8I1yPlrHFgocO9x0AQKe7DgCrK+G63KJMiFoKadPDsBX1V9sYFsVhVgqZHR8rbra6NzrNxkmcnx6f1kXav9yHZji883g+au9PUXPn3E9//EqWPHr34YMP7j7oDN2/XH9uoxtsN9nVjY21bq/BPeM583RyfLJ7YWPDWuVjTqyfJQAr6zfCIo8bLFg7vz6dLSurclWquoior3Fl3JpSJbOJ4zYyoCGFUFdGIk4YsqbI85XV9dVBLkvVW+lSTouqFmXsc7DSa7395hvb57cZp0Uldw9OXTd4cjhkoaO1DV0/dLlDEAJCSYM1BBAjiIDVAIKfBMSzpjMGoQGAUlZYa6wh0BJg6qLAyvKQaWCh0RAiBawCuJQaITXYWL98+RKXi0pZTHxpMWMuo46pgbZQaQsNFEKRsnYps1YTildW+4Q3GQHEWmNNlSQ+pSLPMPUX0/Hm9vlkuaiNSdJ0MpkiRMqiWgCdZIk0qNfuQiV3H9xfzGacO2leRI3GcHhaFtl8Nuu1m43Anc0mge9zwtO0KKxaaTVpXjoQQ2Fd6m2ub65vbEAPV0AgLN2ARYMVy3TUafhRI05SYE0yn5R13gqB1MoCwDgEqATIDSPfpqCCGfedZZ73+6317f54//6ygpCQ/mrUa+vj9z4oRuTwsQx4J81OPnj9+E4yj3tbaVdd3u4DFy8e3/+pj15Z7/clIAaALE/j5TyKIgjR+x88zKaLXKhpkrZ97FIyns3wNOuvbbvBWtBonJ5O8nTRXA/Xr6y4deHI6O57Mwp7w2qs9CTydQUkBihw+WQ00qZihK2uDOI8Kxb1dJEYi4IgaDTbohavvfbm1s5mkuaj0dzoMaWBroqwF7nMdTDwOUOwNhp4jg8whwYAACw4m15rZw5CCKwxSirlAsAIcijWGsZpTJwAYGy1hZhAyBAmEEBtKq1qCFFWCuRTQBxtEUGEAAu4axAE0lgLKHYZYRRhimHoMUI5ocxWSwZtXZeFshgyKQzEhnOGsM2ruNEZTI+OqrLs9weLyel8mbmer5S21lKMalVzQpQyZVn5LvMcdry/GwZ+4LDhwROFLAcAEwdqyCEl2oKi8P02VGAynlMAEYMAChbSUihrOXWdZbXEUrgYMc9JilktasdBxgprAbCYUgcRW+YJUthzOECmkBmiYOPceWAsF4qXulJi7fyl9ORttdSj/PLR0iJYITFZZK3v7cX/5t/9a8V4XO3fnkCqncB30F6SBRD7mKlarbZXpFKvv/F6nKvr159O9oapLnphKynLVmu73TpfFTBNsixNGWtmNs6KXILCtHHH5+Hj+WR2p+mK8XKBrfS4d2nr/IWdAcDp6eQk7IeFyIuqVAYZi7JclJUxkANKsko/erxvtOaU51UJhDRIFFObyWUjClxSMUYIcxBiwEJr/6SH6c8i4b9+WQAhRBAAY02RpcAhUdQSylZFATlmCCMNAbIaaG2Fh60WJeWOoh7AFGIqawu5RlYaAwlxEICMWQgUd5G1AhiVZ4syPwjCAQRLqGuRJdxrxFnW7rEkLYJmlNc5YrwZ+roRzg7qeVVCSKTGLuZAl0rJ6Wg4m8eEemWl4nrpUxi63OXUd/lsfIqtVsrquva8pigF87guqhamVVmPjifx6VRXVasTeB3eQs0gCutKloslDmlt9Gy5sMDkYIExJ5SIuoIIGo2VwlBJQHGRFToF0khAtAXU6uDJOw+75y4ySeq8BrlZPNpldOeD6UbZGCwOvpYvjtO8E27ckA74ozff+MTldd3qPvzgTkCbWxcuvP/OGwEAH//IR46Ojg5Gw5XNi6tBr+ewlUu3kzvvWxZVsYiPqjtffycXYjKbBRE/t9W8enW7HZHp7HCpstnJkjH3yrnN5kZ/nHKZz9MJvX7lKgT5ZJ60mi3KaZLMCHOsxpiiOEums0w92HM81/EjSuzOxlro+VmcIyCVypZZXil7+OQxJgrAfllKWJTAGAjOKH0/0VmAEFoELAVAQYSA5MwAF4FaAc/WMhMCIQgcNyy1BRRBpJkutOAWU0JxXRyrfKjlPHBuQuYbkxvVYyCsRFpJSBGrtdKmci1wPIgUlCIrs+VykQGTNCglgOZG88gvyhxiyKyjalGXlR2kVRXP0ynUFhsji7IsSkZoAWsJrOuHLvO6ES3ztChiz6UrKysPHzxAEFvAtBIrg43hZLqIl71BSwupOWlKA7PYYZw3uv2NbmGXliPLoDYmCBss5AKoqrSe64ekxJwSh2W1TwiiwOZJ7IMoaGohkJTecD7sBSHOPXAyms5LrUd2OadUvls87vSffvvbpSyWhZK60XsUj09MXmLwe7/5Gz/1ua/s7U7//n/32uHb3/77f/mTlwL72nd/5ZXLX4Djuh4uB+0QtD1h0Ld/9P3333vPS/JFfSIMsb4L5ZHDm8++9Clsq3i276KVdFJS9/J8eZoqvXOutdYMHk8OCAK1BF5kNJs9efyIUbreX51Nx8wJCPPjRf72u/eSpF5f3To4OlhZ7zx/8zqDqt9sBC4dyrSqTNRphdTYyIPVIpuPIVizIIMotDAUoMYIIkvtTyZmnzEczwKEAEJosQUaAgKsBkYCjazFGNd5aXxHKaNkDSzVCkmiiTbMYgu5KLNiPsviKSY68NsaAEhrmSAMKYQaAQSAMRZIrYiyDGACCUFQUgQAypKiVhRoizkty7wBotALtKjb3d5sPv/uH3w9ybIwilzGbS1Z2GQQ1VV1MplGnTYA6OGDBy0v4Jwhinv93nA8Kuq61ezlWb25dakS4NHBoYUQAwiMcjxfzxZa5U7QaXTbrOFVImMhp1wh4mqjjCGe70FIIEAI+lUpkOM0W53Fcg60DILQ5cSIBahdhr1W5AaAUBadnE4fHU9u8M4AOKOD4SynowTG5DJrkWQ0r/1QdQZf/cWfPRyaP/jt70W9yRRFYzugzfNxafO9ZViQk8f3fqjz1nrbdzfvPTx5691Hj+6938JydbXbdkIbthYI9gdb/ZXz9+/t33/77Z/+xLW9x6NiUcRa5gFFgQe4MxnPKPeySVYn1WDQgaCCQCJA4+kSQCoRyYvqzr17EMNmKzo+3u+2vEubK5v97nR4oupKERv4zmKeNCPucWokXuv3alpVZe20sOe3AKAGlQh8aHKh/3/9rf5/ojMBIQAWQggg0AAQa5kFACCFrRF1raRW0tRVCTFVQCMNETAAEIYdalRSZxagUhk3dGuZGVBrA6WuKGMEs7rSGBOPea4HKTG5qqCWyGggjarLStSu41tCeNRsd3rD0UgKUSszmYyBsJe2L0CMszgGiFKLqrKYLubT+bS70seYLhYLApEBdrW3Wgm1jJN2p5vEeRg0Cfdee+ut4+Fwc31AMARCEC0kkKzpNbtti40hVa/bhEykWUocjBhyCJeqqkrBKMcurYUBBfSiMPBInmbc8Tir4qWg1hdxqotaU0QpnU8rKPDB/YPmxmq3f304X5wYNun0bz85LWkAcfnX/yd/89kvfeqf/+Nvr3rrH3v51WMj//A3/9kmrtfLOnvSmo0aWb1Ea/Tw9HR26/Zr3903EF/YaV7us5atCDJ4NYJu6/Yx/JU379y+9+6XXji/UKCYjyPiG8m4ZMVcySabLAvQcIF1m15DVwYpsLWyfnBw6GIW9tqPTg+mx+OVbmu1v5os0se6vHRu8/LmlswyKWrstASAmrrUdTS0zA/S2CoDfT/gjFa1CLSBEECAPkwVorM5MftMQPiht7IGQAFLIfQAAcaUuhJGqKoSQhhMJIE10MYACBFGCCMglRLJcq4MSeqa+0EBlDYVZn6mFDMWGsi5gzDWGhJiKbEAVQBaaEyV16HnTU5O8njidtrXn37GQnwymvQ6nSePHmMI1gZropK1zI3SnHJTyWWc1EoEng8taITh2spKkZeNzY6BaLlc+I0WgtjxsUH029//wWg63dxaW1nv58vRwGXNwCtUiTwCuAFY5apElgUObXqtSuTM55QTbQ3nBEOkrOQcQ6vz5aLZ7S4WizpeNh1YxuVGePngyRgDhDmDFWpkoF8CVS5Uv5kx9yDB48i5IyZqq5sX5jOf+NLO1asi8S88c3Hr5EEAJukPvvE5cPTxC9w/eutWvb4P3dlxWa6HF9aipiMuRItey293WODodncjx83XF+KP37m/txuibnPw0c9WfmwxUsIOl7Oov7ZYLJvdNrQm6jXHeTkajzyi2+0olSIMXb8VRs2wSGOelQ1pLniBHE7IIn6m28nG48dZtnHxXLvVghhLYIWFxOHKGgtwrXWlDdbG5TwXQlkMILQWntnZhACcDQgtABYiYIzVwACAfIuAUBklFgOULBPMXGu0lRWGFmgDGDMAG2Sni+XBcBbSiFFfaShEDagF1lLmiVTLMqfU1VoDKCtRhRGxiFiA4iRrNQf3H7wVLxarg/OIkXv37jW6K67XWCxTQvD2+tpslgKMKGVSacrYZLaslOr1+1mSQwPmk9m5nXOPnjyuamEhTouy3W5DAKu4fO/d1xFEz9x8yvXdIluu9gcdB2qjAGGn0xngvNltIQyUKhBuMMctdYUZswBqbZaL2GFO0Ofc4WVRnh6c5ukyy7JWq1+mwkFhMk6nJwsvcCrKZAF7tCFQSppMuzrv+YvK/eN7t5/7+a9uX/vUrVu7C2EarY21RvhPkh+87tXovXdnP37zrz1zLpQj01wZF+URig/n4OiPDq926eeudD/97MXJ6HD7/IXMZT86mPzW6289oT27fnXz48+dVkMRLrPliANPGgV8sqgmdZZktqSmWLlylTTc49P9UV6G/XZcldwlvst9l6G8WO2sTkoAj6aeQQOnUZa1zOR4Nmx3u+1otVKSORxphQkqVW2V1NiDhFPKRF0R5gRREwCAIIAf3pGeTQvuswDhT9ZWQ6AABEZhoZQhNTbWai0t5B61WgILrDAWWA01cB1hweOTaWocBp2oGXKvkVtRVVWSAowYAJhgaIyxxhpgKCeMcshRlmrM3N394/kyu3DpGoa+UYU16PGTfT9qnh7utz3sYOj6bYthJYVGqFTSCYOj4THJcbfVNkItp3O+yi9fufLWe7fCsLmyOrBGzxbLH7/+NmfeC0/fTJPFJFusrfd7/X42PiqrvB14jWaLEFIWqRswDIAoSgCx60etdrsUuRB1VcpW2JFltZzEHvereRkwu9rZxNTNFsvpOB7fHzu2F3QGvBcJf2X3dL5AVBaLnfVLi0YT8vWbK0+9+tIXgo2nDo7idDrZe/z+L//+d74b7z77mU/M395dLmJRFteff/7RwVEyf4tkwzW3NWj6YnZ4663d/kdugsHWt46zr9/bG6GmWX0JRr0YkMfF0huE8eKJq0ozTQOPTKE1BEc6tLUo0mw4GnXaKx999oVf+a2v+ej0Y89e1bMkkJLZtJouikqStHAUaXgNo9Hx4ZHTajjILqfL3rktjJUUBUFAagGQNRDHRXl8Oi7knNOdpZRKfUgdggDCM3kpA8AZgfDDYKgh0MAChBjC0Bipq5ogDCkDEAghINIQSowRoAggGBfl3nAS0OBgOP3I6hbELjSWIgYR1QYTQhGiUhiCkQGgETlaZ8IgyNzHu4eLaTlYX5klWeA5jrWMslrIbDhut9vVchQvll6jVwkhjEYEF1I0wsANvMePH4fXfY853U6nKHICTKvdFdIUZSWVuP/wkVTqxs0rrVbDQXJZlYP+oKyq6TyWebzS7u5s7Sgj02IpRU05UZUwRIRhsxYKYsq56zh+kQtT6joHg9VO+9z6NM7mp3lexFTryGmWrtAVry1KshRFl/Knd4qHlvGmXFkxwdqFq68+7W7vDLYfLepesz9LTv/h/+U/uvvB7ZsXd8LfOZmP5uveNADsza/9YHKaZ3H8vO9u31hd2+xG/up3v/HjhUDfujP8znCGrzy3UO7K6uVBrwNnp9OydgO2eHQC5Lzh+5DYpC6NDkLkAYOkdQ/2RiKjFFAZ57gRtoEzHR1gbZLFcalr6xBqQKvRQZYOZ7GCdHw6KwlQDpVSIgIpJarKrVaz5VxocLifnRyeDlbaVmv5/6Jc7Uw6PZ0BCC20gNQQuBBog3OA2xgyUxjNFSZYKqEqBDTElENbI4cJ7Vth59Nhw/Ew8B9nw0/0eqIugFxQkjikVVIrK0OsIoRigKXG2gAFECdOkpeLRbaxcWkyfWREXcJkpRe0V6KO747nCbJAK4Axr+pCGYMwJhgrodI4XV/dmE3Hdx4+fvqpp6nvgCKxpnZICbXMYrl3OCkrtHPhwvnz6xCb2bjotTvK6PFiYrFpB4GRGljEGffDQWVLSTT0KHR4YawqNbC6yEsIMGGU8LDd9AHylrli/hrCUOAsDEK8nJfxKQ+9uVeV2y/2Nv/tj3Q2fvW3/z3N4G6Jgmjr4y8+/5u/+qtUXSWdxs6GvvP63fRw/zkv2EjybP/4qtTn+3R25+1eCLfWg+sfu+ByByl/P9W/8+33J8N0bb2wYNh++bPz7mdXFlU2uZ2ZxI92dqxWT759AT46RxmUjVLMfVIb6wmOFHCCqNlM0nI2ORpPbw56rlCHb9926gpCQIpqy2lg7Y9wHkM7Ho4Ybx8ks0TqcK1fsLCmLpBxvlw+2DvC2Lg8TMaGg+DZZ7b6G4V2akaIQzrAWgw0NBygygJ6FqeEngEIAQAAWmARABABICQwymKIDUJWa2CsVQpYpIS0RgIMMERGm5Pjw6eeunFwcLJI0qgZKVkZWUmZG+NpLeqqgjXAgEINpa40IswDEMKiKB3Xa7Sb8zmeTmfrXU+IWsjKdXiRZxhZhCDjFGMkjYEQaK0xQtBYIWSnM7j13u3t7ZIzUxXCD5zlPHW4m2Sl5zbjZHL+3GWMyCKZYUrb7fYii7Oy6EcRq+p4GVutlVCeG1loNCgd5hLHQwAxSPK8Zshp9sKT01OodPvc1jI2UwH91sq8qmeADPwVOXUfJnsX1hrtzSvd63/O+ldjihK/l9bl7r14NVn2z+0hqU/v7ZJ+ME9GBz/4RpQdXxv0ujTZ2u6Gbq/fb/e2Ws3Vvhd2R6D9rW++9kd//J1395McNrZYsyxXNzad9yhdxCk1aKVLH568U+4//GSz8fwW/NynP1vcO33yKOl0mhEBShFgjMMJlHXHda21iRKrzR612uZ5t9WCRV4pwwgDiGoLy1JqgybjZZ7Ly9eu7k5HwaovhX748AMLpIHMd0NoOATSdeGFi+21naQSc6kDBBiAEPxpQ+HZIxCcGQh/MncOAgBFVUuptNayLjWQVSW8gFJMRFkBaDwWWKO1Fm+9+foHd+9tbG33+w3PIVWcAqyUqipRIAsc7hitkSEQAGsRhhBCCwAoq4o5TQvg1evX4/lsPJ33Vs8ts4x6rVorV6t+K2IO1UpBCI21UkpOHatVHMeE+oyH775z55WPv5LrKl7WrtObTOeQeHduP1jf3Oh1VuoirfPK91wIoQGAcCdsteB8US3TdhSm8bzMC0sNRLqKc1hUjusKC2bz+c7ODjKO77RqbsZxQaOtaVY8mqGd5z6z1gi0FKPZ8XzwxOFiMW5sLVfi4uQH7792Mqqef+pTl7ZWd9ZvGCD/jS99xStsUsy++f6720X8uS9/9EI/6vjF6upA8c3DefmoLO+9e/jeg7deO9STuGo0z093pAPgcnKSVUb7jWWcu+tAjw6L+N1u/sFnL177uWvo2RZrIftby+m7WXKjtRPFNKLWGOl6xKpKK1MUVQMaXmetIPSctkwzmaZtvwEYLSk6Op4JjVca6w/uPOx213VlZydT0wzeffsdiLJ2rwkAA8DJ0pq6pK5jP4oGqy1hx9ZizBwLgPmw4xSe0WnZZwbCP2m5gghjTJiutDS1AirPUtcLtBV5lvmhyzmzwO4/egSVePLwbiXLyzvbGAglamEziwTFECBgMQIUYUMhgJQCz2eQqUVhhTSL5bLbEXk639jYenJvn7gBd/3902klBGGtdqfjUFQbq7RGjEIIIYJpli4WMfeiS5euvfv2+2++dWtl0FdKiFpkmZnHp2maTcaTyWjcCDwpRKvRsNYSSkOnDRj32p3JcJpnWaPhT6bzRjeogYwX015/FSNAGF9bvziepc2O31+/8mDyuNFaAcFqMU2uffxLeHCuQlZmSXjlnDu5Pczfb4v28t2Tg+xHzS33pS/8dJuHW+1zDsTKzqvFY12o4e6j/fff+p/+jb+NTZ5PT99Y1A8P9h/sfvBgkuwuExCtCthtbF8IObIEdFzn5M3XiDrA2OiyQZXtsHk7WgRo/lMvP/2FrW3L75rTVMGVgqo0wNNCBRmNIpCXCQewqksjJTNgLfA7XoAhrLJc17LXXaEAacImRTWcJRC604OHCPJGo3VwcriysrooCxf6UTMqKmGoW5baSFuLmR+JqAMMLBhnBHiYuhZYA7SFAABrz2YsPBMQwg8LdK0FEEIAELBQaw2RFXU5Hg0HK6t5kmit2s3VKs2Yg++/+27T5XC1v1xMn/7pLyiZGaVqkUJHIKSVkrKqiKYIYK0sgFYJAayE2PFDf75cSKX39g7Ob6yvb25B6s+W5e17u81Wm1I3jnNBEfNdQggiREoFLKirylrreF6yyAHEs3lSVQpBGy+XZS1rKYLQWV3rnJzsHpRl1OJRsGG04Z6HORpPR+te0NpaJ0Zzhm+/dv/m2rVOZzUEHYs8A+na+Ysn00UMzOrKpdMk8TvbLFx97YO9hYoOj2aHDye5UViWOEXt1bWXbr6E1Dll2i+zQaNtHcOKaUZme48f31mmx4vxETDgnUcHr+3uPv59cDSc5Ytkl5N51IsaV/K2blyJuoP1wF91cfT43p2yyDmLgt5l9egoyVE/ZOb+27I+/uQzlz7x8nNPRcjfHz5uxZR4UlEXwMut5hoIGhXzjMqSKQSAWRk5DqUOssijpCgqVcswahnqTZdZKhLlB/3Vi4e7p9iSrZ2dSbnsbPSnZcobDg+dUiwZ9dJUF7lg2FRyudb2vMgKXcFaa00+PKR8eDMKIT6bLvhnA8I/EQQAWWuNsUpp5pHv/fDtx3uHL7zw4rQsIi/SQnDGjh7vqjRvNNqTyZQy1G4FSuYIIiUrQqU2tagqaIHRWlsNNFBGoBpiZACAtVDHp8PLl4ogDKu6XlvfGM6yb3z3B1Fn5eKlp9LFZLlYSo640cxzOSUWAGMN5w7jbP9wfzFNGs3G6fE4zwspKkJIEAVEoatPXdreWLGyYtB+cOeDNEnarZ6hqLQiq4UOcXN1MB0d56Jobqyg0KspAITNErW2uW0b3Wwptp6+ooJmUiEH1yeTjNNAp1UxGbaj9tXNTS5znxZt/lHHci2LZfIB1TT5YHH7yfGg0/UCcLj/1mg59SzBwH0wW/7RcNLondOrl6LLfeaEfa9lLa2L2drVVVnkNPRO75/E+yNEkENagbPKVq8uqVoT+bNO8uVP3PzK1U61HIqHNdstFSIpIVk+uZDbtaooy1MteJ7a9faGNEuIoZYaARP4fp4tF4s0CDs8ai3jeqHgbFFWM+k0WhgH3V4DUsw4m1eLktrO1mppl0jpeJkAPIBAZ8WIB3L7Qtf1gba2qq0EyBhkfjI47ydlo2cxFp4tCAEAgFKOMSUYHx0dJOnswoWtW++904g6bs+TUhALH9+9L9Jse/vcm++8+cqXv0ChTZZzWLsEQUqxKqUSdUCpksYYQyBWSnHIKKVpbWazOM+Kk+PhhZ2OKLMkK9597+5iWab1eLFMoLIMcQBBWRYaQMw4QRhY4LjOcrmcTKfPP/fSYpqlSdZptwnG7Xazt9KVporTqVKpFmWj1bh85UKSJJ1O33EdDSnE5Gg4nhB9crL/1NWr13dezMvYOniZLYPBucb6TgqIv7oVrG5lwja2IlIvfbdx/nLvOc2NE1QY19KEBJbisJ628jQ08PH7d76/0rwW4d7R/Sf9lwJlTVwvFUMUNHRBExygnfP05ZeN05pJ2ozLDkS7o/HqVg8j7Ub8YPcR1tnaBfL49bcMHHf6/YosjnT+tNS/+OrNV59eh08+qBblwf2kP41IjEEDWS12OMiWiwUJRBRwS4QQxKGUIilF5IVlXiZx5vsRcYNxUhwN57NFwqk/Hi3BrGwGTUJYpsolLHZnRxefuVEjmdWFylIOGhwHWieuzy5c2lrbaCkdIwQxcgl00YdjtQG00J7RTD04ExBCAIBFAEkrubEEYUDwjpAPjp/sfvZL241W+w9/673Nl/781GqTxJvWEYupiWfFMAiJ2FkNkUjTyQnnPafta6LKsoBSAWJ831eVgQC71OcegVQjzZpuv+mJ8TBfWV9b5vnu3uPhHELgrTfCxf79SpTrOzuQubIohS49L6KEe9x/fDSVCvzMT30xiedPFvdeeGF7Z3u7KoXWCuGMIB6y1sb6+uHJfi3F+rmd4WyxUBWukTCov34VY9Zc661iCIw9zfPmRgtA1AIwWtuuCBNWYYznlIAAIYT/7+29aYyl6XXfd86zvdvd761bS1dXV1XvPfsMZ7hJFimKtCw7tiJ5CYLIQBwggIEsCAIj3wPkgwMDToLABuLE2a3YDmwnpqNYtC2JpMSdnIUznK17eq3q2u76rs9yTj5U95DUYtixZKmo/qOARn8r3Hp/93mfc/7nfxK7HbxbOCuhrg6PyDeCfG1L5gDQUL1HHGTZ7q5GRX4/RIulXMqoFxzGtZXx1KeRkj6UbpZ7ncW68irYo9mD9jCDzC0cGIyP5/WVpz5SPrzbHt1afu9L8aw7LpajuNs/NxoLgx9AfT+rbxedmZZCZKlXZI3OJnlB8dgozKJAaVj4peoorTBqYrKWj4oRjOp08ME03Dye3Lm7tzXolwr3jF8PaqPdC4l4Xyz+r5u3nrq6Q2nc0CKvp9JIY5K8mbPPNzfSK9d7cTz1fhFsCk3fmbFIJgibkjKBNQMxmt/vp/X/j84AhAAAIAAIBAKCdaUQdPvuW6325tb5FQK1dX7tnbfeiM6fe+rSzvT9u5PZsVD42hvfHqyvro2HD/f3vedOK9Eqquulr33C0lpPUCMpZAhMeVEopigaFMsZUqiK5be/9c35cl7kZL26srtxaXPIoTg+WR4+vLe+uRkpWde1t41RwtbLspjsbq91jTxaTJ+6vLsyGpN1Wsg4bhFIzxhF+sGywd7YY5iiGV6+gVKvrK5HWSdK2yhUxSFppe9873tf/vLXP/uZz+zu7ABRkDExCFYoMDCzIwCqlqV3DQTPvglNdZq/qjggCApeGzOblVnW0rE+vn8stGAmWzeSwEgVS41shkvRnZheniy6Ziplnra5tu3x2FMzQJh9cOtinI4evvvGr37+mbZMtuKf/MjOCsDeq2/Nbh+PNtZmDOXDk2pRKjJWStVRVd3kTaWMZAxJlmgjXOO7YMKSiIJzuD/NjYgroA/u3CnT3qJstIxWeyv7xbRml6xu2J55+/7tr+3fvvDC+rnVFawDe6FCRwrVWCeYdFKvbXSHw5RoJlAuF5UrPa5qqRQ96s+f1WMQzgyEiMAgBAAGHWPtFlEWrl/czPOZVp2nrl75n/7m5z+6fb4TJ1+/+0HtG6PMyfzkwrPX5tPjusFeq2dUAl7UhVOUSZ0QYVnXGiME4chqg9Z5E+pWpiIDUkEITaedGIlPPXXtxaeu7N95Z3K02N5cyW0opsdpmkgBTV0mid7bu4fCnd9YKSaHw04WJ4kykdYtZnX/cFYEAqXH51f7q6Okm+lMVY56w1ViWhbV1956d31jc/P8lrW0mFW6Pfgjn/vprNde+lpr6W2OBME5jUIR2qquysJTIxGBgwAWHKQAZgiE3gcmrpuirqvRcOCCq4Jtd9ux1qGqNUM7TrQyvjE65/i4hjsT3RqhDuxcMuxhuYir4z47uPnas9sX1QcfDOHec2n3c599JTQnolzubGNzqM+34+b4IJSNNoZl5LWphAsqAPlRP+XglCYdCb9Qbl5WVQVSs4oKFwejj23p0ixtd+TxMrEQlaEbZVGvPJHN0eTezcX++MrG+vZWmC4UR02BAB2RKRC5MrXEIyEVQGwbC4HJC+9YsxAqIpSP8u/P3F3wsc4AhI++4hABmICVkSD44uXzrbasyHSzlS984Teorq5sbu3dvX/3wb2s057PFywwS7NisRyMt7LUgJdVXrnaJSrSKgVnVCLAITMyCUCM4tQumosXty9t/czJxFZh3h8Ov/bV11dHWfBzDjn7spOudPutd27eDiaKjLZNky/y5aIYjgaRjrTJht22TOL7BycfvH8zsN6+9txTT7/UHa54pRrJQfOiWt6b7IthVDfV2+/d3js47qyuNwBSaqCQxmmv0yqL2XI+BwgapSSQDHXjXF5iYAGgFCkliTwFxwCECMSBhJSydtZ774PXWlBwnnwURYKInRPeKyOFEBXAXLtlWiucdI5vyaOTTOYbq1Emq9W4WZXV6gtwaXV+/cJHH77Zm779ZnJwp7LzViRHg2xlvHbv/b3icN7LVoI0ZQMOw7zOEy163ZaMBLCpm+Z4enJ0Qi2dxNlqXtuG1NIAIda2nufz8HCx3h0ok4zS9kFxMHdVMBqTJN0ejzfH0+lkQyhfWskRyCQ0pY7dha1Ov8/DFRTCgpdVaSHEAgSRABKn8Ranj8fZrMucBQjhUa4yMwjPDJ5RRMTsvUcY/N//56/cfeuO9Jwfnrz+2htl41e66WL/IMo64/HG+bUtkbQ9V4JCU1YCME5i9swIrTR1NSMLUGBijGKxmFQkuK5LS7gsq+P5bespTbWSDEzeutgkrf5Iiv3J8XTz3KaWcSvp1y3utVak6B2X5WsfvHdr78HS+UvPvPTjn/7c+Pwu67RidCgmiwUo7o1WNtAYZTCinfPnn712OUuT0BRUVAbRVcWiKZkCgieigCCkIgb2QUJAZGBWABIAKVAgQAQBgIgovQ9JkpycHDMFRppOJ4kxWgoDKKRKkyRJjSUQsZjRScn3N+Ddj6XNjS25oaqNNSe1bWeu0xaxUpoPrdX9Fs2bRcr9JB54ZxHEnff2TvaniWnXpTeRUYqapuxnaaSFVjQvF4QygH6QVwcVrKT9dtZ9WJ7kVTWtc6obndcB8fz2hU6n3TTVMRUHdj7eOpemrUVdSWkChV6/WxweV1XAyCgdAJo4dhtr2c6lTIgqny+q0oKVCrQWQkUpoEb8MGyUz+hL6dmA8FQMiKhRpkSRdyqOOm9+b3b73clKazx30298+au3H56MRu28sEeTxcb5rZ2dy+2klwMJBS6vm7KQLSZyTVNIcrNqwU4kcVZbS43wklUSf++du1//8tu2idF4Aqll1u+41eGlwXCFPQuVtDvjC9tX7t+7EzwezeaHe8umDvduLRdF/mB60EAY72797J//M9df/lhFctpYqRgIBYrBYMjsoQmDKCJbRUxZO7HV0i6OpADTOGoa4V3CLE+boYgBAbz3FBgRBFj2LDBFDSEwMTOCUIxIxEoqxwyAREFINJEOzgrrO1lXEQsUnU5bGq7zwgi5Ac3PXRn/8c9c2e3TYLHXCgtpCBWxCYToQRTsTdIBXWYtCS5ozIKVJ8czWyoZjZxDCBRF0EqEFCw9QXAN1JZdMlw7mdc5Jg3y9/aPSjpczgtumqub54btfh0VpNCBvTW/18QYDbJodV1n2eJgYlC22m02MC2XRivQhLKMYw9+vjKONtd6Eg8Q/XJRsDORSJuaIi0AJLBg+vDwewLh760eDYsJACGMFEaZdJHbqoAb11/54PXXJURvfufV7RtPodKT2cIGPLe50+0OqiIv2LKulYuEBGBaLubsy1aEQqrgsWlsCME5x45RJMpIEyXdwbqFal7WKFu37j8c9LrXtrbWVjZCUIeHs+kkX8yKo4P5bF4a0/JeLBalztKdZz/2sT/y8WsvPqu67QJgGTwYGUU6OJaBFRN4F6z1fkm+QqZgq1CXgj0KxKZOEBIhyAdkAQTAbAXb4EEI0NIxeyFQCAZFzI6ZhQKpGdD6JkuURqyqHAV20hb5IKWKTaKFEkxVVVnXsBBxFEcNX0/0sJN9hKa43INwz8VxCSYEbzBBTEFnAaUyuobGs8vaLXLqaDItZ5URgwAhBKtRh0DFbOFDnTjPgnU76q2sP1hWb9+8N968VB2d7B2eeJDr4/HWoB/betjrftDYByf7adI1611u6SPhiCFMp7ExCRrFwgWCAIQQtyOhubGH/R7t7Kxr7UPgqmikiKIk85ZNpCkEZy2AgEfW0VP8zt67KJwJCBFAMCIr6RkQAIHQlqGMJWvFadqzPMiXD3tJ04qnh753OF0krfULO09bxwcHD/QgDlCWuSSk6fxYV2Gli1EnQq8hoGRhQ5FEMkrCYu4inUaZqgGsidhkxwX6Jukcus1zrf333rn57geFw6IJFJyMM5Vlk7ox3ezpT774wssfXd+53u6kgBSs1aEZCaqbUE6DRiAKgZm9Y+sYaxYeALWUJs28c94HadADEzMIGbwHYCYm8oTsAwGqgBpQIZpGAjGhiuLIBB8ohDiJABnQEddxgq1WYmsXmwzICKVVLF1Rsw9CRr2oVeVzqJZ5sajvqI2tDurzllMgkwZQE+lsICGEFIFxcR+Kqn3nMK8nuZ2XsYrCYo6WYqVRoUNceBW1xuzKvKh78SpEo5uvfccWYXoyvZtPz6+udb1uS9OO4rv1yVv7D8VgZLYuRuvDGtyyzEOQBhEkoonKIIyUSoiuTAGtEhWLyWg9XLk63N6NbXMCLg11JKlpmqlSjkVa1dEwi0BJJkDJgA5ZCJZnMQj/DED4WI+uQOwCkKAmxCbYYoYhHgzSo6P8xlNXMEoW0+p7bz9Quv329/aTqJ/qDjfh3v1b1UPWiebIjZOxMMxomQOijqKW0G1jCKCSMl6U7uGiwrS9WMyKRcUuyYb9/RP7P/+tz6uq9tZFaT9u98p64pqmPRi/8vLLL3zslZ2ru1LrvLZ1Ocvz+XIxVQoF8u279yrnL2xtJZFm8kgkpYxiJYUmIh+CUoqlkEKQxNw2IRADSSNDCE3jYnLGGMFIQkghAqKKpDaSAyEgExFSnEZ5nmsppRQBWCsVyIXgu62oa4Qna8uJLU+CX5q26fWyTKRNhdJFsOi4/dQTOIKmLOtl0eSVsw6ECghNHWKVQk7H4VgE7mVtqjxjSDqJbRwgOVc5thsr51wBeZmnkTisi8OykL3+zXsPB0mnn7VEE5yGe8uDuWzMOF25NArIB/MHrGQcaaOi5TwnATrRCpV3DWPQMQULUZRu76zu7mZRVDVVqZWwyxpKYMfByqiTNC4CbgnZAhR8Wp6SCs7mckI4SxAiMwIAgtDs9exg1gonEdgo9SaihsF0V3LPe/uHRycuzcQv/uIXfvWffeejL724eS06Xn6wmm4PV3u6zZlqg8S6yYWX7CP26ELVsDcpMSiP8qReVOVMidCLWr6C6cHMCe6hVgJa7U5laf/oaP3q+T/yEz95/Znno6xV2PJgMjk42hMYkGh6cpxo2U7TLI5W27EX1NY+BKuUBA2M5AJJUIgYgCl4EOADeWc9e0SM4igEqr1jJXWEiIgstNYsjZIqEORVledLZJhPZ1rr1ZXxZDZdWxuDBJRKKoQQ0kSFsjp6cPP2g9vWlbPlLC+rVqvd75zrqnEo7ag9cIf8wfsPOYTgnXdWo2wlWSay2rpAFItUCpUJgzJEiXauFqhq4ViBkaYoKpZCawnIQilpTG39fDF3QfialIyvr26ilE0UHi6P57LqXRi11rvLUAeiqBUxoRbKVRZY6SRhEJUtBXgpMHibFxNl9Hh9TUWOsUSunac6b7g2kW6bdBiI0XSXSxirPoBGcYqehieben9PhQgABFIEAiU0ODnZm/Pk1oWtZ+/cefgbX/5qwTr3elbQ/b1cqlTpIUJ6fy+/88EXhlv+5Y+Nb7y83ev2seVaYkQukdIggSdBTN4zeKAAKLCsqmJRtHor6ItictyibLWFirz2vpMm/V67tG6gO5/7s39mMFjZnxyd3HxvMp/UrnQ231wf9jvt8aCVRQY9GcEr3SwIcr5CZpSGGRmBAiOhkAKYAzMAByYRIEPDCGCJrEtQCyUYLUuBLPPGtnrZ0cnMB9ZaN57TJNWJ8869ffOWEiLptZAoi7M00tOHe/v37xzfv9MVYa3fljqTajUwn0ymgsPRnTfPD+O1OOFFzgubRGlA0Qjq9/qxMUeHhxJlohUJtqFKktg63yjvhWu1MuVVsSxc42ITtXv9yXKRzxdyUcW11CXIKpiCOt2WlrA8PFzZ3jquqqYTj7Y2RUed2NIGAQHTKFECy2VBHtvtlYbRVgsmK5QPzgXbbF1I1zYU4wEqKUSDTM56iISzEAilShZ183Ayu3ztE1df/HRgGTgYKYEUYCD0AtSZQ/FsQAgAAMzILAAchBplSILVxw+PRv2VP/PzP/H5X3m1rPHug+X+wyrLVtP2eDhY5VCTK2t/9LUv3f7WP/tfkr7eeXrjlac/c26tubbT4+CEjiQrz9TrJWiaZVErauK6SRZFZJzpxplKoiiPjTYyCwEaKE6qebe9dn///he//OtN02xv74xW+stlA1Ey6mZGSSUlu+C9E6jZEwg+rRtIksTAniWARGIiAGCgAMDIEUsROITgrBUArTSlECr2xmSVDbM8r0g5Et3BEFF0h1orNRitSyFmkykge6qXy+X+5PDw3u3pw7uJgl4sTaSH3S6wRw6xiVeizuRwEqSPe2nmSKJroFYmbXXbtVdxKzo8PvSRa7WTSAjSkupQuHmr35FGLYt8SRWWEJtUkU1N4gpbTApsi7gxsRUw95mItkfrIm5PAgrtv3vz7T22K09dxW6/cJV1URRnmdFU26ZYxjpRqarqomwKAfVoaIb9uJu1O+12p1uraKFjAHbOCyGyOlAJUKIqFwqV6Yw2n3v66Wde+EzUOldbEjEAA5BgyQzuTD3Sj3RWfmMGIAJkBCCBHjFEUTpYHa3dunVv7dz1c+fOT0/K2YmLovFoddvEvbwpbT2JTA2cxnK7nNeHk+O3PvjqL/397/30Z+R/9h+d9w0YbGmpiYCJKYTg667WL53bbEcbrMoGytJaJYraeh91Vza326sbwxBu3b1XF4udrY233nybmiJTvY3tzcnkoC6WGCdgjEDpkZkCMGsWzChQKNYcEANLIIQQkBEBgYVElCIA18FxIB0ZpVTlvVTK6E4AcTyZnkwWl8Zb3STTOqpqS4w+CAQlUfX6a9ZbjChJ+xEmmYgTxmZxpBUcPNzfu3evFWtBoZt12mln7+Z97YQEzZaytFMUTS39sNPWTh8cHxVNMxr0jFI2L7RpIQAF9A0FR6ESBJwKE2ovSS9OCuc8OyDN7CIjEwtSqgiw3D94AEqmbdNpjU6cffXWrdmbb3fSbNBrt/uxdD4WsNJvC2EPj47nxcnqevv61XOjvuh3UGFtlDMCfQAMCCI9mrqyVsztIxuS1sbu5RcuX3uxO1qJ2+vALWaSMXkIGuRpJB9jOIv9+jMCIQMgEHgCAchCGIUxUZw3qOP0eO/elQtrX35r/90P9pxPZ9NJWR4rKaSso2QhbF84k6brKusrtzc/oNmi8F4FRyXlSMAYmnkVtwJrzFpxz2goS0qaZNTq9PsrLa2S1Mno4bJ463Dy5s07SuoXnk1badLrpBiCICZXKaTgWESCPAmjhNSOgkR8ZHhl6S0CIqIAwZ6s88xSgpCIUkrpRQgBBEqpjUDpmLRUHuD+g31CfePpl1iaQEiOVdSqylIARJEprddSO/JcegnReG0zO3du5/zar//KP/7Wt786aptWGgsLq90BNnRy+HBFdyTLSGobapOkUdsWrikru5ws6soO+wOFkj0gmuWsYMR23M7nlXPlysradDqdzqftJCuLmn0wJtbGiCCXgnzwTe0g6KqerYzbi3xpXdkZrJ5PV17/+mFR2ReffV5w4/2hRIvorJutDgfbu5tRcr7XM52uQJhLWSjBSrIrtHfxdFYXDTruxa0LWxeeff7i1dWtq1m6AaDZkw2SEZVgCiSVYDodqT/1Lpw9nQUIGYARkAkaAmYMgChFzKJ1UKK12PV1pMiHe5/5E5duvXH/e2+8vj58KY02UNY6O9TBtJLBokmDkj3s3F0cel/Hcez8pHE5kQKIBKo4UpOihiRZubjRjjZCW0wjceTFN0/Kd9+8+cadmw/qvJayOso/9fRLDw6X46HrDVrVsoqiDLXVqagOq3bWUlIyEZMTyAzgg09MS8nIE9dU1eyiFEFQcBJASGUAoQk+kFVKqSCUFwqF1lld1nfmD+NWb2W8Fdh4FqikYw4OlnU4NcNYAkusZRoF7cnWaG2wppVe/ejHJ7Y+PrrdWhl7H7xOOxTaSojKedtgBCzIiaBiGcrq8PC4LqokVb5pggWvDLEk9E1TIYLWkiEU+YTJdtIOEC+WBQTudxOjtEQ9T8tykfvatrGbaWEAok5n4qrZyeTBvbsjA6NB0u42z1zfXWtfBCwRZ5GuYx20tFmaBLK1q1RiCpsdLRxDdDxthEja3d0L119c23pudf2a7q4CJswcKACw0FJrZiZALwmRCERgIQFQc3IWM4DPAoSPhACCQQCjd662lhP18kuvvPmNX/eHd2NJNzaGL3zmfPwnNn7pH+y/+R0z7G0FcIVX7VRHkUxca1YtQfi11XTYQQQW0hjBWqZNTUkSSdlkpLjVO+z23ng4e/31d/bm8+OC3o3iJMRx98rhtoGhWXfMeUAkENRqxcvpIi8WqQREAGltKCSlgKgFWucjo4zWJ4cPybOQsj/uGwmVs6CUEkKg0MhCMBGRBq2FbwIDeikt8Pt7eyDMhY3tqmEU0gMGG6RWIbDWURIlwYMQkgPVjbOaWQlPECk9nU6zdufjP/VTb77x9de+8a02iPHOpcAgWQcKtasJhXW+rppIxwJVnucAkgUyYGMtWB/pJAAwirxs0ihRqPN5EUexiFRV1rrVBpIUdQ7npZAhRbCVEKKDZmhDePveUdzrhMy8fusudtW//e/8sTrMP7j9PV5y3F4TstYRGcOMNUgqQo7aLGpbHDWLMrZ+0B9uX3zu6vbVp0cr55L2OkCbWPogEB2c+vNQIOKjWCeUiKdpC/jYK3MGETxrEEoBAgUqDSCwcPJwXq+d332wfyvG8MrV0d57X5NQ/umf/tlz7dmvffHX42xzkKwDOwoLLXWsJAg57LS7aeqaECwFCAICMzCQtVbL7mu3jv/Lv/31mzYrIzEcrK5tX9y+dm2rGSC0vwRHfhyGi3m49a3suYiojltxqx05V4UQSc2DcdvVjZCJANGUtpu1Hj44+MqXv/rOW+80pY2T+OLV3Vc+/pFz13cp0iIIDGyL5XR6NJseLZfTsqqkMg5kydLr5NrzL21s7JYNESghYmAA9J5ZSBVLHQIRBQmnDmbyPoAEZlGWpVIpIrDwl55/sTNcdUeTcdQ6/s5brdwJF1xgBYIB80WRZi1kwcRxkgBA3TQoRFXVRAoEeUIjdSD0NQmSicnyRVHVdbs1lCItyrDISWvT1i3h5bSslqpZCFxkkJvmcLYHA/zkT17fOBeCr5+5csFgwHAkNIJGS2yDBNZHk2Xp2Hrd7l+6cP3Frd2Prm/eMJ21AMhAARQRMKOUcOoh+vBRYGZmRhQ/kO3EP/CcnDGdIQgFgmKQIIQxQkhGad754J6s54lQCK4d24HrP/iA31589eWPXO2Nk8//w2/66Ss+tCAhVNQQooBy7l0pJJrakw+BgvUOXLBJVju1u0hie7nrozWIZB11J3IQOF1Px6GUi5P7m89dnLz/a51ZEch6qsuqLKtpWXWy7lAqpaVYznMBVT8bxFH62jdf/8ef/5WTh0Wio0hkYOnN33jv9hv3B7vjzcsXzq2sLWYny8mha+ZJLF2+MEq1V8eHeV2L5KVPfWy4slU2wGAYZQinnYwgJABLFBiIEIDIIyMCa+85MFFoygaZtVLOQym5t7K6urnt7uwvlqVxQnpglHlRa6Wl1HVpkURT10qGNE69tZGOIJIcUEgjQQjUAiUKiOLIWloeL6RQIsK8yZeFU0YRU+U6Xso5zPeP3sWRjrZkf11fWrl8/sKo0xVSHmiZa2EleiFkXoEr2/NS5lXXkYpbN3avvnBu6/Lq5lXT2wRMA4myJiGElhKBFRMKBngUtPfho4CIp+ch/tAGmFPvqPzX/WD+K+sMQYgA4lHsGpIUodVp+1Z7YUul04qXkYSmFmxHg95gury9ua1+6o9d+PzfuWWS51C3PYuAyJ5QKiljAK1lFNiFwN5TJ4vSRNwrnOiun3vmsuvtVJEKk6I4KBbl8ReLiZg1W69ckvXRyfz+WputLaWoGnZZSweyACSFqZu61RoYTk4e5l/5ta999UtfZadXu5u2rGXASIlYRYbl8TsHd9+8HWudJGLYT7YuDDeGw6OmAmBw1jfNJz/zudG5i8clQ2SYkQkAiTgAOzy9Z3oiDkJIYi9YIBD5GgUaLWQc5yfH3rmoHSktna2qAPls5kNgwDhJSXC+zBH1clHEOmol7cVJLRxoFlKnrnEGVSDmhiVKDlCRRVQBxWI2R2GiJDsp5jWFWoWGfNXYk+qIE44vmXNZu30uXr3Qb/fTONLaOOLahwaVYpkcnEwawMmEGZI42127+Mz2pWfXz9+I2mugFFuyNYNElqQQDCIQUbBwughbMLM5DXF6jN+Hj8SHE0xn1b0NZwZChkdfhIwAICUEV7cjqcfj2Xy2cNBPsqXTNip8unjz7fnLn3jh5q03Vjeu71xpbt45rss47WgpydlcJRnq2jlvdCINUmCtQEcslBOQayw1FS1NwjhK7OpGu9Dt6e3bwEdP0ejWF7+1dnwMdfHqd7+TxOW4Zwat1eDVaHWoTKexrGT01mvv/tLf+8Jsf9GOekZrV+aZSWUI5OpIBQMh1i3Q/caWsg7VYfHWwYP7PdPfHG5dvlD5cPn5G/3NjcO6aVTPEAsAIGAmBIto2YUgCRgCeWIBFFBIALZRAGBra/bOdAxaQRqpqmxRQIb5cuG8ZYGWXN04pY1zoa6a5Wy5ee7cqDucn8xmzg6HbW9D8C54YASplaPQ+BBlpqybaVEBxBHA3BZO+Ror0RJmTafDxcr5le7GIOpFcVsDeAg2xrlzJKQpKn6Yk+d4Wa2mvQvnr17avfKxlfUb6WADhAbgEBwygREKgJlQsFCP/OtCahDAwMz8z126dOY5PAMQngKIwJLBM7EAVlJIOZ9MR2vrvU6ryrs1Tk2EYpGvDfrF8Nq33pwqrVNzvLYaf+lb30mG3cM7Puu0M9U/uH/UGhwHXKuKJaKLtEIOtiKtpI70/r2bb/zqq+mzrn1utNg/GHbOrTSNv/lq6mfNl96+7P1KZzjeWN/MyPnDxcMH7z54t5X1D+4/uLC90+2Nvv6lb3/l176lfTpqj2VAAbVSBAyN9QI5ktI1tWClBEYSpPEeq+3tzes3LmfnBrXC/Xmxeu25iQPWkQA8XVYDzMyB2aMgZiJwAgVwAPLMBBwAgZmIKQALhVXdaMEMqIWugFECKi6rsgRczKZZ0gqKp7N5HCdJO3OOBSIgzxcFMSqtUErC4JxHYlBYhWa6WFbeekUy0klfdE3XdEU2itrjLG4p053LWDUUSLoAIjiJFIF3x9OiCpi7RLU2N3eefmnnudULH8m6Q8AMWPlAQISShGR+bDcTIACYCVAAgORHMWqnl75/viXt9C3pCYS/Z2IERpBMkpGBCZGFdAF7SatZzjuJMf1OebLfkS4jKKetj//ZP/vW7be/+A//ymqG3XT83HPhz/97n/3853/jC194fbF8YbnwtpFBiiA8OK/AO1cLj0JkSZb1mfjmg8nhl/K2Xml3T+bvdKrlxzeiG1cGvbjOIPaLcmM4GrdH3317L8H4pU+8UlaegvnGL39p/3CSz3icbsQyq5dTYzjSJOXp/grUJvGhYZZJSzuXWzjaWM+efuGZza1zgOK4rvanzbkbL9WyG0RLECbsPMrAzBgYPCOdRtsiEbFHIoHMTBBACGk81s5zcI2rgXxTV2kcM6JOYq+4AaoD5CXJXClMat9QoyoOvUHneDIXQsSdLs3VwulOq1M1SxCkMlPZGjVQCkkWjfoDGSsdi3Yvw4hEAiJlUpWIBKMMACaK8yY4K+Y5FwVLWEF9YWP3xjMXntrYfSrpjkFkHjLHAdkDB0YUQklU8JtdZt8fg8DH/D3+3z9HZ9a7DQBnAsIflEApQTGjkurg4YPp/u3944OLq93VdgweGqLa1PcP77/8sR+rDr+1vP9av8+f/eSmPXnjj35qd7wS/+3/9YMoWs3aK8BxGqd1qJg8oNKR1pHMimrLwbNRNvcS86BODjrYzkBF92aL/OHmbrYxiBBzeTJ95xZ0MnHtqcuNc2Y02N9fumVFlRxm7ZaJltNJLDiLNBKrYAKxUsihFuh0hKV9oGL33LO7O1c3+uN25euTyfTmQbH7zMvt/mhJ4AMphc3p1jYAQDyd3CVmpoBMAhiBTw8TAgqARCwENGVFwa6tjJpczadTYZSSynmIsp5Ie3nFnd7gBNSytCCiTpqUgaZVESddkkljfFEsZ9NSx5wmJl2JOXDUMv21julo3RJ5ldvkkNulThJQwgN4ClLpUMumDlVuJ7kDGaHqji9d3tz5sfMXdlv9VRAdYlF7FCQRGVEiIjERB2QCNGexjvK7rjMGITMwokCNIEfDfj47Wl9bSRNhm6mRXWXiMpS5y2dF2WqthCTNoqrTxr1bb3LS++QrT6+Nrvydv/0NVjn5RqLWgmKdgPAqQUILVMfIneA6RjLViRRom6MMSsUn0/nd7xztbMbP3djpxsnhe29sbK7euX3fBZnnJ1//2tveR/14CJ5EVa1kEbNXGISMbSUYHCqS0quIqjqXSfPxT7909cblSTH54ODowcHx0cn00gs/1t3YnuZetCIAFYAYmRgYQCAzMAEHJuKgguPT+xGTFADMIXhvw2Q2SVpRr9+tq0IAZVlCAkKgoqqywdCpaFbOXKtXlh6EMgKCtfVy3tgSBAus41iagUpacmWtm6ZGdcKyqVtdZTou98cqBj3QssUBypoDcRQoKkpw3tdF1Dil08F46+L2tZdHqzuDlQsB1xFE4z15IVApCcDAj75TGOB0oxk/yi35Q6+zAiEDADCiAGYUQgfP3U77xnr//sGDk7u31joaSLOXWonZcj+vj6u6Cg1Jrl1OXbOZB/rKF//J9Wc+++f+rae/8+4/8nYRUDcVaVBFU0kfZBRsZBbKh5i0IeaAACDBKwvKCLFBUr39IL97Mr98IUnSFWhvPZjlZem++/oHCL1O2oPSRgIN+syYKEorb4MTkTGVLU2MwoR5cbKxOf6xn/hYb7X34OD41t7BnaPDSV5/5nM/c+7q1Ulp46wtUHqi4BspBQcJwESEgqUgRCJkBQKYOHhgCkBNVcVxLAUXxbzxKk1UXeahLpM4BQYJPC+XWdy78cpzv3zzlx48eB+lSpBS4WPtu72YE7z07KZMZa+XFHZKUPZWOYpCLZaxcBhxLdkYgUYEDI2LtGrVtVzMoanjppJJ2u+vP7W1e+387lNZ7xyYPoAJTBQEIhhpUAI8jshmeVrZZiHkacedQZzhl8jfPZ0VCOExh4BCxlGrqe3Rw73zz18zU5GlSaxk8KhC1FZymu/P57freq6l0WCcs2hG92/unVT21W9/9fnnX/7sj2+KYBkj8ljXgVEGcgih0ew0oGIhAgr03iqDVwW6MhB12q0VSHEyPfjaF95c2872Z/fLvKwWpeZk2BvJIKJIGHCJ8IlGRPQeirI02qrY11SSs9eeu/j0szdAqq98/dX3792/fzJtr67/xE//6e1r15fUpO1ESBOcc85FScTMQKfleOLgiYnIMQcGBURMgdkH70NwwSKi2Dy34cnWdeFdLZirYikEANhEw2T6YG1rbbQ7eP3Vd69e3FrvtYdZNOwlIqKTxUn/fGwyjFPyeS0NUJIXFFSq0jgFUCyM9QikieH4KDRWOWe0Ga+fu7618/TG5qV0fB5MC4J0FqCRQgEIqQTj6a6kU5vTo9qafFw4kae7dc/0Re53UWcIQgAAZgCQp5vi9/b2mpbY3N06rEs3n5Bn6ZWugy0fTqbvOjdNhEYXW1mD4umCnn3hE9/4xqvvy5tXnq6T3hBDlMYCgRCDSRUmta18XyYjmSIp7+vAITWyZ2fKdIsm2GJiOkZEJyJtSjtaiceuPPLgVtrtFDyDUMYIVwNVSOQIGosBkUUtIk9srz69+/InXjw8Pnznzffu3z+Y135t8/yn/8SfHO/sTKpCJUagsHUDGLRApCaAw6CAkdgxe2JP5IGZVAwMRIGCR2atZGMb8sTIAb1SqLWSCqeHR8HazfOjw4O9ps6nyA8Xe5/9N19up0I734+UkhYiNppFxkHR0pVJL5aalJYoFGgZSOR50LK9XPJiQRxUHWUb21d2Lz23ev56Z7ALqu8DOw7oJTCiBikYRSAIHpQABnzcWsAf7B+cXmnF2fRa/57oDECIwAgEiCQQiBA8OWVkpxWVD+++30qRmxIC1zVXnhtP672LfX2+cccIHohl5K2eP5gcXnBXVtYvzWaHfjawUZO1mSWq2HgHniDiRDYqBTVKNVkZQgqQCNALkTEHjpd5k4dlfeFi65M/+eJa98bs4eyffvetzd5oqFsKqPRV4yuB0lGWW+3YA0KUAmqHuvnkx567eG13mpd7x+XBcbi/X69cGH/uT/50e7W/d3C/1VsBUo68904IKRh9wSgVkaVAKIjJEXmAQEwMCgGQvIAQyAN7IUGAqr1FKW1jfV1rxlacYkRH+3vL2eLyhQsHt28/d2X49PnO/bvvj8ZDqWpQgSNudUEkLooSqVMTQ1EudBwvlmVYpADp8XHumIQZjs5dvHz9+d7W0+3BWEYtBuVYnraLDAlEIOLTxWSnX5P4A7FLHzYZHh99j7rtTw7BD3UmIHy0hJUQlUQAkhgHL9qJlFH7nTde1c6fH6/lyxy0KKW8uHp9PN59iLcsLRpyUkhvy6yt9g/nw9Fg7h76OmkWR2nsK+sYpAdPSwJOlcgYXIDKhzkEqKsqMim3ouniMFB9fnPllZeeeeWlp8u8+M5Xb33x//nqKOqumBbWXkrqROI4z1m2UbXrwEE0JqVFPdGx+2Of+/HzW6Nl1bz/3r2vf+fmyUnVG6588jOflVm8qHMChCBAKYEcRRCCA4a9u3vjlXMqMc41cWKIkDmE4KSUAORDYPLAQUq01gMzB0vkJcsQaqYKWQrwdblsKrezuSMDn+zdW+2qBBc751oYOTLspZOZTnUsImlDRQILh8s6Kmx8sF+iaJl40D331MXrL63tPJ3119G0mbpEItCjKhEIRgAByHx63TulSwKTwt/arxPf5+4Jfz+sMwAhAJzuohCnuXYcLDnHVrsgItlud+rjEwq+lSZ56RxKL1l3I9Uys3kddTLNRnqsF/XwaitRftqUgipmZNDEHgga2yRJZLRqSl/YclYsR710PO6PV3akVPcm93dh/fLu7vp41Uj12je/++1vvv7wtmslvUFrRQjlyUrNxMBOegpaBlQcpSqv5065H/uJF9e21kvbfO3rr73/wURjppPwqZ/59OqFcwtbKN0yidFJ3NjGRKquSttU3npPwRjpvJdS4uPs8RBISuEoUAhETIGqad7p9KTgqjz2viFLkQGTcr2cPtzfj0U8GPWDnXn06+c7MXqXlMJYlCpLM5BpQyEEcuRnVU6czmZYVz1tNlY2P7V66fqFy1cGq5uAMUBMLAMJySwlAaIAFCAfvVzKx6GfzD9sKHuif1GdDQi/X0ZjBiAwQBLbafdBOdfGdMZrAkPwJSE3LPO6rJpKxzpILBF6MlE+2DK89857N66PFZJgByyFSjSQyRSokKWpEboE6gyyn/tzn2olg3ZbO1d94xvf2Lk4vLxzKcH0aG/ynVffPnx40uS+E/WGrb4iaZtKSdaRzAuLJFFhWS2jXjKrZg1XP/Uzn3zpo5e++dVv33zvznRik3Q4eZC/8kc+efG5a7mtok7HgzBRlhc5AERG2sbapjFKb21uLuYzD9gd9J21zAGBBSJR8KE8PQ9dUwMxO2+dQ8vdJGWqy/nJ0dGD+eyo38uGI6PkpK4XQbjeKioEFQObyHsomARGs9xJNIfH5aw2Juqubz47Xn92e/vlweoORBmB8MDeBQFSKXV6tXu0BxBA/BYb2YcE4llMHfx91RmA8NGbDZ/auMKpd8YjtLqj3XPn7u3dd3WuZGioYaGDs8cH++ur6512dGIwCAoemUS71ZmcHAocra+O66LMurF1RMzeWw6BfAgciEKv3z+3skleLBZHX/7yr2xvX7x4+QLX9f27+w/eP0y8aaue40KajJ1vmkoLYORlXREKUJoEqxhmxcMK8j/+p/5o3MFf/8pX3/7uzaqAJB3uH06vPf/8xz798TIsSWJVN0onQFAsFmmWNXVplEiilq2apirrski7ffaeAwEye0JgJFASvK2AfKKFMirYuWTSCH65nBw/mE/32i115cJ5oaoADxBkt6+VUQSEQs0bL7hVe5rPPAAeHWM7y7qrL12/+NLmzuXB+DzoDoBhBuuJASSDRimFgMe2ge9bOM/w5NAfOJ0BCOFRTxcfbc0GDEheIomk1V+Fo1mdl1orliQYIqDZwf3778VoT9DXkmUgZFSdXhSKECVx2wyb4xOhksZDE7wX1vpaoggQvLdKZM4u2Jub7763vrK5NjxfzH1xtLz1xu1zva39g5NqYlPZohBSIx0FRPYcADFqZaA1iWbZnNR+/tEff/r8VvdLv/Fl74WRbdWOp3nTXR9+8mc+UfGy9jUIkySZEhF67iQtE+naVkpBXRZHB0fbFy5666UQFEggNNYSeRQMjOBqDQHR18sZC/J1VZeFFNjkC8X26nZf6+Apl3HQ7VSwAMDSQsDMgT6eWuujqiYVrQ9GFz7x0vPnty/3hheFGQBg8BwsgSTAgOJ0zcrpjzj93PlDi9mHBJ69PJc/iDobEJ4KASgwSLZsPRLL+N7+sYw6WY+a6iAxWjiOIbimOrp/G6oj3+TtfiKVWNq6vzJY293d2Nqc7r8nVMKotNINIQAze4XYTdvCzorF4ujQDbvnFyfLVtpvRaNvv/l6fjAdJ2uTvcX0YJmaNqEs3DTKep1+Wte1ZUFSglBkRG3rRTm9en3zpRev58XBYnIyXrm2OD7ScRyl6qOf/sTcT4SEJElBmMDCVg68S3Va5IWjJjKyrqp2uxW8Oz4+Go2NlrppLBMrpQCJgleCgJ13haDSlovl7FiIoNs8XjGpRCMXSjMaJqUmFRgUWqXzaVV4PW+UkL1zm1fGm7vnt58arF2WZhBAA7PzHlgJIcUpaxxIIoM4derQY2v14yLnY9Hv/Kf6bX3UT3D9HXSWIARgpTyHSmMbeLQMWqZyYzyMmtE7rx5g4yk4qSNtMBEuapkTL2uWSKJpli8+96IParZ3rEnNilnHDqROE5MEGRndFXHstGgabQMUi7l2nSzqTadF3G7tz8pqXre6UJV+68LF+4fHGGkjOgWHeZVLRSCgairXEIEmhOE4O7/dB1G22+1Od2WRl7lvmuXxSz/2if7acFJNsyQrq0pqKMtSoFRKHiyOpyfT8cqoIRnHqZCy9m5j61wZbE6W0AlNDAwcgAM2vipOiuJAywqhHK2JONIKKdJKAKMQtbN1WaPJZlVUl1TVgXCtv3L1lUvPr25eH67v6qR92kQPhAAIIih96ivzH3Ii+NEs7emyh9P1f99vrj+eevgd9YS3fxmdHQhP+08AKFNjVhqb3H+wt/3shq1PRkk307EBJEQhkTg4WxXLg0UxG6ys1A6K2nfbHSGiwwd3WlFQGgOF5TIPugJjnEcfrA3sHQNgb9CJMfIkHh5NGq6vPn/jO7/2tXfvvneus1pCXkCe581gPCrrZatnNjaGrcwIZCKPMoqi7sPj+0WTgxbd7kraGTy8c9Cw76yMd6/t5raIU1PbBoUu89KYJIRQ2iqv51k7VkrWdR2kjyIjpQi+0RKJA/lKCCryWRQhB9fMTgQ2WdREcZACTSS1REkQOMxyp6N+UaeLRdwEVVIyHp+//PwLq1tPr61fFVEfRBJIWOuFFFLgD3jGGIB/kBx85GiBDw/A30ZPSPtd0tmA8HHrF4l0wHh954Uo/kK+9729uwXQLCflbbna2pwtTrxbenbS6DhOPFWSLEBWVLh3cHJhayfNUu8mMjZSayGEYwbyzlEIGEdaC0AlVMvEyjRQOeFOFpPhavvjn3rp/W++US+WcUftbqybdqr7bd80a6N+rCHW6G3pfUOsleren9wTyiwq99pb3zieLQMKEuLa0zd0rLFhocjXIU3aDCSkCOS1Uu1WlpgMAygJCi03BQiWyNSEulwawygDL4/YAoBvp0WSaG1kIELQiLrKa6Og8WL/kD2w5X5neOHp6y9tXLg+XtuApAegyGEIigIhBqXkaV/9MUZP7GO/zzobEH5YAUChrQ9p/8JP//xf+JVf/CuHJ++leq68ynQ7OOEd9PsDjkdHBwcdrdqtNnBAE+movffgYRZn3lkpoLJN3Oiu6nqUhEJKkWWJMVwUuXUWUFtRVbR46rnLgAxQD8bZp376E/UiRyFAS5FGE1tPjnNuhSY0ZbWsiymRY46yVNQUJgcnjeDRaOOFzau//E+/3Bl2di5dWBQzEXNVL43pVFUFjEBBACjBxF5wgwixdhiqYnFcukJL1BhicqGoMOK1vlCKhSQlAiJbz0UVpGxbC9MpuDplEXfGz2xeenH94vOD1S2drACnHCD4wECgpCOvUQmAHyYQHk/EPtHvm84KhAD4uEKuIm/D6nMf/az5i3/3//jLrgmoZJHXXfRCofNyMFqf5a5Y7iURynC6ayL4pjx8cMc1y05XCikpkBACGZIkJvaIKIRQsdRpTGTKvGhC1etlWaQW5YwJAqHRitgHQnBhPjtBomAdcwBgbZAImKOmoYcPl4fTye6V3fH6KE466+eG+4fHdV0G9ihASy0lIgD5EGupJTpbIdoIfFkubLWMIxA8N1HQEtgv4khEsVEaUYTTuaBFKUCa2sLxtAkkrTfjlRtXzn96bWd75fwWZm0AyaeOlsAAiFIwEoMTMiAgkGRmpdQPfbK/tZDyxFj2r1FnBcIPa+MMiBgp9jR85uM/m/2lf/g3/+uj/b21ViuIwmEzW2BXphevvzB9EB/tfy9DJQVLrgTJZumSSEoWihURN01ThaphKutgm4qCUqlGKUMTOIKkZd556+ZGf4XzRVk3kmWadaIodc4b0DBtyHJeLZsqj40Xsrau0fFg//7Jwwez9qC3urpa1zMfmpVx6/bdD7wtTBRrHbkgBCBoalzT5HnZlBRqYFfTArlRCtlREpPWABxMOxYoAokg4ulsCRgrHe8doydEnWWD9Y3tpy/sPDMc7kTtKyAQwDMHBgA8nVz/wUvdaX8HhRBC/NZz7wlvv586KxCeik9X9gYAECJwvHrxpZ//C3/pi3/jr+fHbw9VsFSO1q6yih5OluPRWr7cd9QI8FJY33hjurHS6ENTWdAoZFdLE4C10sZIIZgk175Uug1S7O5uvPW1e/t37o7XOrWjfFnlzYIydCSXk6k9KikIH2tvQy4qlAULqCr34M6knY4kV66pkzbfe3BzMbcS/Te+9pX1c9uglA9BZ8jCSZbtJIkUCrLATmEpRROnsYklIKNkIYQNell6BB1qPZkl1kml0rh3eevipc3dy8P1iyZdCxATREt2SCBAGhFJ+IEiCzMgCpCnjXeAx3FZP2Qxe6LfZ50BCPF0+hoBJCoGyYyAhIwkGpcMdl/8yX//P/h//6e/PDl82MkG+8v3R/EWG3FnUgdIY1drOc2iki2awGy5AbAIiUAjYhYDL13gUhmhjLa2SbTUMqCsul168RPnQy1cYcGh8LoufXE8LQqXl9W8mEVaD7uWvXXUoAo6zqRAqmxLJWWN5XHoJPHmeG3Ug1G3f3Q0K4734iztdXooaLwx5LoCN0OoydQyhlYsBBtCQgRGWOSllCJgdjzxZQNCd6L2tYs7Ny7sXBttfSRKMwAJgN57BmTgCBEYhAD5m18kv1/a/EHmnhD4B0pnAEL4TQ/Qox9mYCEi50Jn5/rP/IX/+M1f/vt3b7+6LOeTwwct04tUOK4qlKhU3HiSpym6xM750/Z003gng0iE1pKJgmMQgn2wrjZGxivtpQrBGTXR731w6/h4oURCXgmIlInanb6ryrKo0kiTYwQlIZZsjJSeCJnv370fKO2ttKI4Prc+3NoaSyUDOUaufFHldyKgSLMxoFITwAWHBLqonJCxB30046qyJEx/5fLWxtULF19a2bym0h4ITRwHAgpBCBBCnWZRC5AM/ENNh9/6wT3RH1SdDQh/ixgAhZQAiLJNQbcuvPLCz24e/p2/Vrz5q7e+987T21ujJDpeTlrrayKSpT9UrEuSiVJSIgZGlNYHTw6kt75mpiyCuB2FwEpqokCh7g5ai2ntmSpXgAigQhSn7awnpEo7/WI2a/IiS5I0bUutKuePT44bW43G626SP3x4v/ZmWHW2djYFonUWwTlfomATy0zLSJsPIzsm04VSY6n7+5PpskJUraS9c/nGjXM7z62u7ZjeGkAreG4IgYWCIIQQSpz6pJkfFTt/OBX3ic6SziiEiMDAwAgMgkUKZMz4xk/9uf/Q/u/Nwze/ffzg7sKXiaS6qrLBSs1GkjQeaufaXR0I54tyO0qqpjCI1jbdVieNMwTBwN45pXVjG88LnUofwcaFYZb1mhr2HpzMysNWqxdBYkMpjbTexknqiMq6ZvRNyC3M1rc6h5Nlf9TpjTpCe8eVlBaVa7WEVEJIlELVjSsqjzJBEc3KqGoUgVDRxWs3Xrxw6aWVjStRawgoidmT8ixAnoZRswGBiPz9Gdon9s0zL3zcNTp7IuAPU7sEQAig0IX5nV/5W3/t7re+sJoG5ibrdqPR+GvfeUN4dWXnOnI4PLhXFNPOQL7wylWIahnZolwkKtUYgwYbGiFBSBSKiSlf5iE3SdSSImlqWszqBw8Oi2VdFbbO7fpoxYiYGfOqCQC1LfNy3umnl6/v6kSiBB0JaThJAaTzbJXUgXE2r5TKZNT+YO/EukhHvThqrZ97/uK1lwerW2l7FXSHIGosoGxQCEQNp2FlEAAo4t82nuxRwfPJYXgWdUZPQgAAZJCngekAgMgi2ABxZ+ezv/Cf/DOFb3/jlwYpxlhJEZQyVe3jTm/QG3zwYK8MZntlhRiEwNrW/V7v4N7RsJuUdV7bamV19WR6IrVIWwmqKBkIITxzgxJCXa/tDprGu8pLkmz5zdfft5biNF1ZHY8H47S1EbVRxSQMohDGaGIfJLnATS2VbAcfnRznDmMvY9V6Yfv89atXXxqPt+J0FUxCLjhGCDIAgWQlFBMLZIEI/Dgs8ElG4I+cziyEfDpmT4ABIQCgBB9QWU5EvPKZX/iLMgnf/dLf63bR2Yqs855u3bk3WNnojtbm96raEgi5XC5rN63y5XAwnh/PSVFj3eR4jkIrYWwDTJJjCuCcdTJOOuPUO1BWJCqDgK7gZ6PLxErIKM7irCNZ1DJyqMmDQ6Frm1vrlFbWwcnEkQ8cpDK7ly89s3b5+vr2jShbBU6ANRGAYwJEyYwkkIg8BiOFRAYIp90+CQB8Zv9iT/Q76cz+SU+3I4P68GRQwCggAJCMyFz8sZ/7Twlat1/7pxe7I3Z3yFFVeKKsaIAiX4Grg0OgbjJEJ4uJF0zoWy3VpdqbSPvczxezwbCPmaytA2SCEKRTERrhRZjWpambKB63pWaQtY4LlQHVKIMmi03jZYJF7eZLKirhaSVuba9cuHH5+vNr56+lrSGKCICIAFAIBKEAAAUAMwJKBAD5A38a8fif31r/fKKzrzML4ff1/UHTR2ACEpGIOj/5c7/w+rBz89WvWKlPltNnX9x57513l5MTDWTrOvgAAK6xkWwxkFLKBSJiE+miWBJyHEeNbRYPD9JOK9IJsZBCIUryWoRWJFUw1mhhYiTGALiYswg6i0d57R8cnIhENi6Werx75emtix9ZPXcj7W+ATIiIEYE9AwihflNZ5be/0z0h70daPwIQfl8IJAAJBAgRvAHTf/YzPx+l7a+99l1n0pt373/qo5/av/MuWRdq0VSN80tkaiQjCyU9oGcU1DSomIJjxkjrTGeJiZgpkFcm9uSZFLgM0aYtIbCuyspIg7JblrJY+rr2ntO4tbWyuXnxykvjjaey/hhkBmACo7UkBBnJT4JYnuhD/ehAeLq69TQOhRhIxsyAaK5+6k995uj4b/2P/8N79/bRfcXbgB4xoJY6jjoCqCwChdDutBtbTWdTZUy72wGFzvvaOl+3m6XVCekMXSg9eSUjklA1C40gRZRbXS91E/TUJkky3Hnm+fXN6xtbV9P+EETMrH1AZgkCAzJrepQFD4xPZheeCAB+lCD8UKdDAURAGEllPKvP/um/CKb3i3/9v7t9cDLQrEF5R1mSMjTMvtfrMLPzFSF0+30Qoqxq60PWajfWUZ06hjSNIsmly20IKoss8DS3jFFZQ1110uTC2ta1Zy89c277ctY7B7IFoCmQ9w4UoTZEgMhSBAEeGZ+09p7oB/UjBeFpCf80HUULJEQA8Jh6UJ/92V/ITPd/+2/+eg1NAF1XpWua2uXMXmtkQCHBRAkDlEXlPCwWZRS3OUjBVWIAiHytfNPJc788iYtSFFXUGW5tXLi+sf305s5TWWcFZRtAWQZPiMBaCCkVQxBw2l8HwQpAMngG+h3H1Z/oD59+pCAEgNODUADi6dJlBM8igKlt/Ymf+fmWbv/Nv/pfVDasRgk5UlJLofPCEYAyoay9VFpHiUI3GrUEKGAndK4jkxfOF9nJTFR1p9M9f+HCc1u714cXrqSjcyAjD64JLL0iKQIgCxDADCSAxfdzIgACACHI0+DcJ++iT/RIP1IQIohH8xYI8Lh3oZAJ0Mpe1YRnP/tv/Lui+u//6n9+vFyIKGM/Cw23zFCl8dIe+qYJAQGYhDEyLmeVltFSUDEDacYcrw2vXtvceXZz60anuyMiRcSOAgQIp/shgDWzfjzziCi+T5p4PM8uAVHik4b7E/2AzrBt7V9YgRkdCw4sQ6Vi++1f/gf/5O/+t9cvxe1kbhezLBk6CnFHknU+iJpQmna+9Id7J93OqB5d6I83L159du389cH4EmECYMjT95PHEE/HZE+H9PiRgec326k//JyfOMue6DfpDwGE7BmAWAUACSy4RGHvv/arr33l7/vFuwPTYCAQsg5NHA0WpT+YFqa9YuLRcLCxc/mZ3vVPd/ojKVMAUfkAIBhQoNdSMZE8zec/9VILBAAiwsf6od/iCYRP9DvoDwGE4AGYWQVGFCDYMzdCiPnNV3/9H/2N5viNbkLKpAdHRS572Wh9dG53feepze1n2qPzwAZEzAAcHrfRERge1VXEh7u/Hi/eO9WTufUn+pfSHxoISTCcZjsRQ+MrNILLu1/58j/4r44Pvtvprq9uvti6+sLm5WvtlfMA7QBZ45UUaIBPo28fh3OeLmkTH6YFPtnK8ET/ivr/APqMS+DM92IPAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Boardgame rated = 3.7 / 5\n", + "\n", + "Recommended price from manufacturer = 20.99 €\n", + "\n", + "Minimum recommended players: 2\n", + "\n", + "Maximum recommended players: 2\n", + "\n", + "If you wish to know how to play it use following link:\n", + " https://www.fgbradleys.com/rules/rules2/Jaipur-rules.pdf\n", + "\n", + "For more info click on the link:\n", + " https://www.boardgameatlas.com/game/eh0GTvESIX/\n" + ] + } + ], + "source": [ + "Recommend_me_boardgames()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "15184793", + "metadata": {}, + "outputs": [], + "source": [ + "def Recommend_me_boardgames():\n", + " user_input = input(\"Please enter a boardgame you like:\")\n", + "\n", + " input_details(user_input)\n", + "\n", + " get_recom_details(get_recom_id(user_cluster))\n", + " \n", + " return" + ] + }, + { + "cell_type": "markdown", + "id": "7f110adc", + "metadata": {}, + "source": [ + "#### Details of user's input BG" + ] + }, + { + "cell_type": "code", + "execution_count": 1298, + "id": "da5c3f67", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'https://www.catan.com/game/catan#prof-easy'" + ] + }, + "execution_count": 1298, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ID\n", + "\n", + "try_1[\"games\"][0][\"id\"]\n", + "\n", + "# NAME\n", + "try_1[\"games\"][0][\"name\"]\n", + "\n", + "# PRICE\n", + "\n", + "try_1[\"games\"][0][\"price\"]\n", + "try_1[\"games\"][0][\"msrp\"]\n", + "\n", + "# Game's URL\n", + "\n", + "try_1[\"games\"][0][\"url\"]\n", + "\n", + "#IMAGE OF BOARD GAME\n", + "\n", + "try_1[\"games\"][0][\"image_url\"]\n", + "\n", + "# RULES_url\n", + "try_1[\"games\"][0][\"rules_url\"]\n", + "\n", + "# MIN & MAX PLAYERS\n", + "\n", + "try_1[\"games\"][0][\"min_players\"]\n", + "try_1[\"games\"][0][\"max_players\"]\n", + "\n", + "# RATING\n", + "\n", + "user_rating = str(round(try_1[\"games\"][0][\"average_user_rating\"], 2)) + ' / 5' # round 2 decimal add '/5' AND IF >0 PRINT if not: dont print\n", + "user_rating\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1535, + "id": "ad498bfb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'https://www.catan.com/game/catan#prof-easy'" + ] + }, + "execution_count": 1535, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "try_1[\"games\"][0][\"rules_url\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 1336, + "id": "1c28a6d5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'https://www.boardgameatlas.com/game/OIXt3DmJU0/'" + ] + }, + "execution_count": 1336, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "try_1[\"games\"][0][\"url\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 1308, + "id": "5f1518e6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'OIXt3DmJU0'" + ] + }, + "execution_count": 1308, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def DB_search_id(user_input):\n", + " search_DF = try_1[\"games\"][0][\"id\"]\n", + " return search_DF\n", + "\n", + "\n", + "search_DF = DB_search_cluster(user_input)\n", + "search_DF" + ] + }, + { + "cell_type": "code", + "execution_count": 1591, + "id": "b64bae43", + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "DB_user_cluster() missing 1 required positional argument: 'input_id'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0muser_cluster\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"User's input boardgame apartains to cluster nº\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mDB_user_cluster\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 8\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mTypeError\u001b[0m: DB_user_cluster() missing 1 required positional argument: 'input_id'" + ] + } + ], + "source": [ + "def DB_user_cluster(input_id):\n", + "\n", + " user_cluster = df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == input_id][\"cluster\"]\n", + " \n", + " return user_cluster.iloc[0]\n", + "\n", + "print(\"User's input boardgame apartains to cluster nº\", DB_user_cluster())\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1327, + "id": "5838b6ec", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "execution_count": 1327, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "input_url = try_1[\"games\"][0][\"image_url\"]\n", + "response = requests.get(input_url)\n", + "response\n", + "\n", + "input_img = Image.open(BytesIO(response.content))\n", + "\n", + "basewidth = 300\n", + "img = Image.open(BytesIO(response.content))\n", + "wpercent = (basewidth/float(img.size[0]))\n", + "hsize = int((float(img.size[1])*float(wpercent)))\n", + "img = img.resize((basewidth,hsize), Image.ANTIALIAS)\n", + "img.save('somepic.jpg')\n", + "\n", + "\n", + "img" + ] + }, + { + "cell_type": "code", + "execution_count": 1682, + "id": "310c7c4d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'games': [{'id': 'dFC1lnGINr',\n", + " 'name': 'Cards Against Humanity',\n", + " 'url': 'https://www.boardgameatlas.com/game/dFC1lnGINr/',\n", + " 'price': '25.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257709006-41mECnRToeL.jpg',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [{'id': 'eX8uuNlQkQ'}, {'id': 'X8J7RM6dxX'}],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 2.4995459548706647,\n", + " 'average_learning_complexity': 1,\n", + " 'average_strategy_complexity': 1},\n", + " {'id': 'cb1DcPrnkz',\n", + " 'name': 'Secret Hitler',\n", + " 'url': 'https://www.boardgameatlas.com/game/cb1DcPrnkz/',\n", + " 'price': '77.47',\n", + " 'msrp': '35.00',\n", + " 'min_players': 5,\n", + " 'max_players': 10,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257704919-51BpeBNTi-L.jpg',\n", + " 'mechanics': [{'id': 'ZX3hYcF9H7'},\n", + " {'id': 'hwyCo1W0hi'},\n", + " {'id': 'U7vKyeRc0N'},\n", + " {'id': 'Voqy2dgrIM'},\n", + " {'id': 'BGrhzIN69D'},\n", + " {'id': '9jnCsVuRat'},\n", + " {'id': 'JYYdBW6UCE'}],\n", + " 'categories': [{'id': 'PinhJrhnxU'},\n", + " {'id': 'eX8uuNlQkQ'},\n", + " {'id': 'TYnxiuiI3X'},\n", + " {'id': 'X8J7RM6dxX'},\n", + " {'id': 'TKQncFVX74'}],\n", + " 'rules_url': 'http://secrethitler.com/assets/Secret_Hitler_Rules.pdf',\n", + " 'average_user_rating': 3.652043795620438,\n", + " 'average_learning_complexity': 2,\n", + " 'average_strategy_complexity': 3},\n", + " {'id': 'e1bDTLO58Z',\n", + " 'name': 'Joking Hazard',\n", + " 'url': 'https://www.boardgameatlas.com/game/e1bDTLO58Z/',\n", + " 'price': '25.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 3,\n", + " 'max_players': 10,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257715012-51SjmLkdUKL.jpg',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 2.761475409836066,\n", + " 'average_learning_complexity': 1,\n", + " 'average_strategy_complexity': 1},\n", + " {'id': 'Rov5N6lPMC',\n", + " 'name': 'Cards Against Humanity: Second Expansion',\n", + " 'url': 'https://www.boardgameatlas.com/game/Rov5N6lPMC/',\n", + " 'price': '15.95',\n", + " 'msrp': '0.00',\n", + " 'min_players': None,\n", + " 'max_players': None,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254768508-41XhYBn-tEL.jpg',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [{'id': 'v4SfYtS2Lr'}],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.2307692307692304,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'R671ZLmI58',\n", + " 'name': 'Cards Against Humanity: First Expansion',\n", + " 'url': 'https://www.boardgameatlas.com/game/R671ZLmI58/',\n", + " 'price': '15.95',\n", + " 'msrp': '0.00',\n", + " 'min_players': None,\n", + " 'max_players': None,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559257539464-41OYMigTzeL.jpg',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [{'id': 'v4SfYtS2Lr'}],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.0937500000000004,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': '2vxGUtM1L2',\n", + " 'name': 'Cards Against Humanity: TableTop Pack',\n", + " 'url': 'https://www.boardgameatlas.com/game/2vxGUtM1L2/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 3,\n", + " 'max_players': 3,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1548135844226',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.5,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'm3A3dPV3sM',\n", + " 'name': 'Crabs Adjust Humidity: Volumes 1-5 - Omniclaw Edition',\n", + " 'url': 'https://www.boardgameatlas.com/game/m3A3dPV3sM/',\n", + " 'price': '15.95',\n", + " 'msrp': '35.99',\n", + " 'min_players': 4,\n", + " 'max_players': 20,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1540934252336',\n", + " 'mechanics': [],\n", + " 'categories': [],\n", + " 'average_user_rating': 2.25,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'MZmhYqWzvZ',\n", + " 'name': 'Cards Against Humanity: The Bigger, Blacker Box',\n", + " 'url': 'https://www.boardgameatlas.com/game/MZmhYqWzvZ/',\n", + " 'price': '75.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1545072498252',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.0714285714285716,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': '4LXSx9HAUc',\n", + " 'name': 'Cards Against Humanity: Fascism Pack',\n", + " 'url': 'https://www.boardgameatlas.com/game/4LXSx9HAUc/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/empty+box.jpg',\n", + " 'mechanics': [],\n", + " 'categories': [],\n", + " 'average_user_rating': 5,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'HoM3jre4lx',\n", + " 'name': 'Crabs Adjust Humidity: Volume Two',\n", + " 'url': 'https://www.boardgameatlas.com/game/HoM3jre4lx/',\n", + " 'price': '16.95',\n", + " 'msrp': '14.95',\n", + " 'min_players': 4,\n", + " 'max_players': 20,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1541188239429',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}],\n", + " 'categories': [{'id': 'eX8uuNlQkQ'}],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 2.5,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'nNhoYpPz7k',\n", + " 'name': 'Cards Against Humanity: Green Box',\n", + " 'url': 'https://www.boardgameatlas.com/game/nNhoYpPz7k/',\n", + " 'price': '20.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1619308662769',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 4.333333333333333,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': '4QXZM90bGo',\n", + " 'name': 'Cards Against Humanity: Third Expansion',\n", + " 'url': 'https://www.boardgameatlas.com/game/4QXZM90bGo/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1545072507022',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.25,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'eahbyyH6CT',\n", + " 'name': 'Cards Against Humanity: Vote for Trump Pack',\n", + " 'url': 'https://www.boardgameatlas.com/game/eahbyyH6CT/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/empty+box.jpg',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}],\n", + " 'categories': [],\n", + " 'average_user_rating': 2,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'k88MCbjP4G',\n", + " 'name': 'Cards Against Humanity: Blue Box',\n", + " 'url': 'https://www.boardgameatlas.com/game/k88MCbjP4G/',\n", + " 'price': '20.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://m.media-amazon.com/images/I/41L5JQfEXtL.jpg',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.25,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'APzgKKrvwo',\n", + " 'name': 'Cards Against Humanity: Jew Pack',\n", + " 'url': 'https://www.boardgameatlas.com/game/APzgKKrvwo/',\n", + " 'price': '15.95',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1547315344786',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 4,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'O5qturgHZc',\n", + " 'name': 'Cards Against Humanity: Food Pack',\n", + " 'url': 'https://www.boardgameatlas.com/game/O5qturgHZc/',\n", + " 'price': '5.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1579555978835',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.75,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'wlRDiNxrjx',\n", + " 'name': 'Cards Against Humanity: Vote for Hillary Pack',\n", + " 'url': 'https://www.boardgameatlas.com/game/wlRDiNxrjx/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1549928813030',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}],\n", + " 'categories': [],\n", + " 'average_user_rating': 3.5,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': '60g1u87217',\n", + " 'name': 'Cards Against Humanity: Red Box',\n", + " 'url': 'https://www.boardgameatlas.com/game/60g1u87217/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1619309118752',\n", + " 'mechanics': [],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 5,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'LbrBO56ycq',\n", + " 'name': 'Cards Against Humanity: Retail Pack',\n", + " 'url': 'https://www.boardgameatlas.com/game/LbrBO56ycq/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/empty+box.jpg',\n", + " 'mechanics': [],\n", + " 'categories': [],\n", + " 'average_user_rating': 5,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'QzQ5N5wGxI',\n", + " 'name': 'Cards Against Humanity: Fantasy Pack',\n", + " 'url': 'https://www.boardgameatlas.com/game/QzQ5N5wGxI/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1579556105016',\n", + " 'mechanics': [],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.571428571428571,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'd1hHeCfCDu',\n", + " 'name': 'Cards Against Humanity: Absurd Box',\n", + " 'url': 'https://www.boardgameatlas.com/game/d1hHeCfCDu/',\n", + " 'price': '20.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1561753721888',\n", + " 'mechanics': [],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 0,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'RC1MTESU2f',\n", + " 'name': 'Cards Against Humanity: Fifth Expansion',\n", + " 'url': 'https://www.boardgameatlas.com/game/RC1MTESU2f/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1547099992640',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.250000000000001,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'ooBjB9uxCL',\n", + " 'name': 'Cards Against Humanity: Geek Pack',\n", + " 'url': 'https://www.boardgameatlas.com/game/ooBjB9uxCL/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1549928788950',\n", + " 'mechanics': [],\n", + " 'categories': [],\n", + " 'average_user_rating': 3.6666666666666665,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': '7CO1Rr3TYs',\n", + " 'name': 'Cards Against Humanity: Sixth Expansion',\n", + " 'url': 'https://www.boardgameatlas.com/game/7CO1Rr3TYs/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1616178352457',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.75,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'cdIIvUCiB6',\n", + " 'name': 'Cards Against Humanity: Science Pack',\n", + " 'url': 'https://www.boardgameatlas.com/game/cdIIvUCiB6/',\n", + " 'price': '15.95',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1575849394742',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 4.25,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'X1waMMJ1kC',\n", + " 'name': 'Cards Against Humanity: 90s Nostalgia Pack',\n", + " 'url': 'https://www.boardgameatlas.com/game/X1waMMJ1kC/',\n", + " 'price': '15.95',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1547099942702',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.8750000000000004,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0},\n", + " {'id': 'LIPBIZAVe5',\n", + " 'name': 'Cards Against Humanity: Fourth Expansion',\n", + " 'url': 'https://www.boardgameatlas.com/game/LIPBIZAVe5/',\n", + " 'price': '15.95',\n", + " 'msrp': '0.00',\n", + " 'min_players': 4,\n", + " 'max_players': 30,\n", + " 'image_url': 'https://resources.nobleknight.com/Catalog/Images/240/240/0/1/0/CardsAgainstHumanityExp4.jpg',\n", + " 'mechanics': [{'id': 'WPytek5P8l'}, {'id': 'DEvPj5twid'}],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 3.4615384615384612,\n", + " 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'average_strategy_complexity': 0},\n", + " {'id': 'g4AKGegPHb',\n", + " 'name': 'Cards Against Humanity: Nerd Bundle',\n", + " 'url': 'https://www.boardgameatlas.com/game/g4AKGegPHb/',\n", + " 'price': '0.00',\n", + " 'msrp': '0.00',\n", + " 'min_players': None,\n", + " 'max_players': None,\n", + " 'image_url': 'https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1624637596568',\n", + " 'mechanics': [],\n", + " 'categories': [],\n", + " 'rules_url': None,\n", + " 'average_user_rating': 0,\n", + " 'average_learning_complexity': 0,\n", + " 'average_strategy_complexity': 0}],\n", + " 'count': '82'}" + ] + }, + "execution_count": 1682, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "BG_requester(\"Cards against humanity\",0,0)" + ] + }, + { + "cell_type": "code", + "execution_count": 1672, + "id": "40bad8bf", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "How does the recommendation look to you?\n", + "\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "execution_count": 1672, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def show_input_img(input_id):\n", + " recom_url = df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == input_id][\"BG_image_url\"].iloc[0]\n", + " #input_url = try_1[\"games\"][0][\"image_url\"]\n", + " response = requests.get(recom_url)\n", + " response\n", + "\n", + " #recomm_img = Image.open(BytesIO(response.content))\n", + "\n", + " basewidth = 300\n", + " recomm_img = Image.open(BytesIO(response.content))\n", + " wpercent = (basewidth/float(recomm_img.size[0]))\n", + " hsize = int((float(recomm_img.size[1])*float(wpercent)))\n", + " img = recomm_img.resize((basewidth,hsize), Image.ANTIALIAS)\n", + " #img.save('somepic.jpg')\n", + " print('Is this the boardgame?\\n')\n", + " print(\"If the image is not enough, please check the following link:\", df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == input_id][\"BG_url\"].iloc[0])\n", + " \n", + " \n", + " \n", + " return img\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1587, + "id": "b3d42d61", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Thanks! Check if this is the boardgame you selected.\n", + "If the image is not enough, please check the following link: https://www.boardgameatlas.com/game/OIXt3DmJU0/\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "execution_count": 1587, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def check_correct_BG_selection():\n", + "\n", + " input_url = try_1[\"games\"][0][\"image_url\"]\n", + " response = requests.get(input_url)\n", + " response\n", + "\n", + " input_img = Image.open(BytesIO(response.content))\n", + "\n", + " basewidth = 300\n", + " img = Image.open(BytesIO(response.content))\n", + " wpercent = (basewidth/float(img.size[0]))\n", + " hsize = int((float(img.size[1])*float(wpercent)))\n", + " img = img.resize((basewidth,hsize), Image.ANTIALIAS)\n", + " #img.save('somepic.jpg')\n", + " print('Thanks! Check if this is the boardgame you selected.')\n", + " print(\"If the image is not enough, please check the following link:\", try_1[\"games\"][0][\"url\"])\n", + " return img\n", + "\n", + "\n", + "\n", + "check_correct_BG_selection()" + ] + }, + { + "cell_type": "markdown", + "id": "e47a6feb", + "metadata": {}, + "source": [ + "## Output" + ] + }, + { + "cell_type": "markdown", + "id": "27a72b89", + "metadata": {}, + "source": [ + "#### RECOMM INDEX" + ] + }, + { + "cell_type": "code", + "execution_count": 1611, + "id": "421b525c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'2eoe0273LD'" + ] + }, + "execution_count": 1611, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "user_cluster = 0\n", + "\n", + "\n", + "def get_recom_id(user_cluster):\n", + " cluster_recomm = user_cluster\n", + " cluster_row = df_fullBG_ML[df_fullBG_ML['cluster'] == cluster_recomm].sample()\n", + " recom_id = cluster_row[\"BG_ID\"]\n", + " \n", + " #recom_name = df_fullBG_ML[df_fullBG_ML[\"index\"] == recom_index.iloc[0]][\"BG_Name\"].iloc[0]\n", + " \n", + " #print(\"You should try:\",recom_name)\n", + " \n", + " #print('efelino')\n", + " #display(show_recom_img())\n", + " \n", + " return recom_id.iloc[0]\n", + "\n", + "get_recom_id(user_cluster)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "1536a25f", + "metadata": {}, + "source": [ + "#### RECOMM FULL DETAILS" + ] + }, + { + "cell_type": "code", + "execution_count": 1849, + "id": "73e14679", + "metadata": {}, + "outputs": [], + "source": [ + "def get_recom_details(recom_id):\n", + " #print(recom_id) \n", + " recom_name = df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == recom_id][\"BG_Name\"].iloc[0]\n", + " print(\"You should try:\\n\", recom_name, '\\n')\n", + " img = show_recom_img(recom_id)\n", + " display(img)\n", + " \n", + " \n", + " \n", + " \n", + " recom_rating(recom_id)\n", + " \n", + " recom_msrp(recom_id)\n", + " \n", + " \n", + " show_players(recom_id)\n", + " \n", + " recom_rules(recom_id)\n", + " \n", + " return #img #recom_name\n", + "\n", + "\n", + "#get_recom_details(get_recom_id())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1658, + "id": "202e12ba", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "93 Gloomhaven: Jaws of the Lion\n", + "530 Mage Knight: Ultimate Edition\n", + "630 Forgotten Waters\n", + "642 Concordia Venus\n", + "762 The Castles of Burgundy: 20th Anniversary Edition\n", + "Name: BG_Name, dtype: object" + ] + }, + "execution_count": 1658, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_fullBG_ML[df_fullBG_ML[\"BG_avg_rating\"] > 4.5][\"BG_Name\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 1659, + "id": "0042a329", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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indexBG_IDBG_NameBG_urlBG_image_urlBG_priceBG_msrpBG_min_playersBG_max_playersBG_mechanicsBG_categoriesBG_avg_learningBG_avg_strategyBG_avg_ratingcluster
939308asLSfoZyGloomhaven: Jaws of the Lionhttps://www.boardgameatlas.com/game/08asLSfoZy/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/159650272080234.9949.991.04.0[{'id': 'Acting', 'url': 'https://www.boardgameatlas.com/mechanic/n1GtBt35Rd/undefined'}, {'id': 'Action / Movement Programming', 'url': 'https://...[{'id': 'Adventure'}, {'id': 'Cooperative'}, {'id': 'Exploration'}, {'id': 'Fantasy'}, {'id': 'Fighting'}, {'id': 'Solo / Solitaire'}]2.53.54.56590914
\n", + "
" + ], + "text/plain": [ + " index BG_ID BG_Name BG_url BG_image_url BG_price BG_msrp BG_min_players BG_max_players BG_mechanics BG_categories BG_avg_learning BG_avg_strategy BG_avg_rating cluster\n", + "93 93 08asLSfoZy Gloomhaven: Jaws of the Lion https://www.boardgameatlas.com/game/08asLSfoZy/ https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1596502720802 34.99 49.99 1.0 4.0 [{'id': 'Acting', 'url': 'https://www.boardgameatlas.com/mechanic/n1GtBt35Rd/undefined'}, {'id': 'Action / Movement Programming', 'url': 'https://... [{'id': 'Adventure'}, {'id': 'Cooperative'}, {'id': 'Exploration'}, {'id': 'Fantasy'}, {'id': 'Fighting'}, {'id': 'Solo / Solitaire'}] 2.5 3.5 4.565909 14" + ] + }, + "execution_count": 1659, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_fullBG_ML[df_fullBG_ML[\"BG_Name\"] == 'Gloomhaven: Jaws of the Lion']\n" + ] + }, + { + "cell_type": "markdown", + "id": "83564e4d", + "metadata": {}, + "source": [ + "#### RECOMM IMG" + ] + }, + { + "cell_type": "code", + "execution_count": 1700, + "id": "a4a663fe", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "execution_count": 1700, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "recom_id = '3hnL2wtWnM'\n", + "\n", + "def show_recom_img(recom_id):\n", + " recom_url = df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == recom_id][\"BG_image_url\"].iloc[0]\n", + " #input_url = try_1[\"games\"][0][\"image_url\"]\n", + " response = requests.get(recom_url)\n", + " response\n", + "\n", + " #recomm_img = Image.open(BytesIO(response.content))\n", + "\n", + " basewidth = 300\n", + " recomm_img = Image.open(BytesIO(response.content))\n", + " wpercent = (basewidth/float(recomm_img.size[0]))\n", + " hsize = int((float(recomm_img.size[1])*float(wpercent)))\n", + " img = recomm_img.resize((basewidth,hsize), Image.ANTIALIAS)\n", + " #img.save('somepic.jpg')\n", + " \n", + " #print(\"If the image is not enough, please check the following link:\", try_1[\"games\"][0][\"url\"])\n", + " \n", + " \n", + " return img\n", + "\n", + "\n", + "\n", + "#show_recom_img('3hnL2wtWnM')\n" + ] + }, + { + "cell_type": "markdown", + "id": "636504ba", + "metadata": {}, + "source": [ + "#### MIN and MAX PLAYERS" + ] + }, + { + "cell_type": "code", + "execution_count": 1458, + "id": "b0fc3fec", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "def show_players(recom_id):\n", + " recom_min_players = int(df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == recom_id][\"BG_min_players\"].iloc[0])\n", + " \n", + " recom_max_players = int(df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == recom_id][\"BG_max_players\"].iloc[0])\n", + " \n", + " print(f'Minimum recommended players: {recom_min_players}\\n')\n", + " print(f'Maximum recommended players: {recom_max_players}\\n')\n", + " \n", + " \n", + " #print(\"If the image is not enough, please check the following link:\", try_1[\"games\"][0][\"url\"])\n", + " return " + ] + }, + { + "cell_type": "markdown", + "id": "ecacf63b", + "metadata": {}, + "source": [ + "#### RECOMM RATING" + ] + }, + { + "cell_type": "code", + "execution_count": 1475, + "id": "b605dcaa", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Boardgame rated = 3.34 / 5\n", + "\n" + ] + } + ], + "source": [ + "def recom_rating(recom_id):\n", + " rating = round(df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == recom_id][\"BG_avg_rating\"].iloc[0],2)\n", + " \n", + " print('Boardgame rated =', rating, \"/ 5\\n\")\n", + " \n", + " return\n", + "\n", + "recom_rating('3hnL2wtWnM')" + ] + }, + { + "cell_type": "markdown", + "id": "269121f4", + "metadata": {}, + "source": [ + "#### RECOMM MSRP" + ] + }, + { + "cell_type": "code", + "execution_count": 1699, + "id": "40383829", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Recommended price from manufacturer = 33.59 €\n", + "\n" + ] + } + ], + "source": [ + "recom_id = 'unMxq0jVdk'\n", + "\n", + "def recom_msrp(recom_id):\n", + " msrp = df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == recom_id][\"BG_msrp\"].iloc[0]\n", + " \n", + " msrp_eur = float(msrp) * 0.84\n", + " \n", + " if msrp_eur != 0.00:\n", + " print('Recommended price from manufacturer =', round(msrp_eur,2), \"€\\n\")\n", + " \n", + " else:\n", + " print(\"Sorry, can't give a price. It could well be... a FREE game!\")\n", + " \n", + " return\n", + "\n", + "recom_msrp(recom_id)" + ] + }, + { + "cell_type": "markdown", + "id": "19c47f29", + "metadata": {}, + "source": [ + "#### RECOMM RULES URL" + ] + }, + { + "cell_type": "code", + "execution_count": 1839, + "id": "86f02d0b", + "metadata": {}, + "outputs": [], + "source": [ + "recom_name = df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == recom_id][\"BG_Name\"].iloc[0]\n", + "\n", + "def rules_requester(search_rules):\n", + " \n", + " '''\n", + " \n", + " \n", + " ''' \n", + " FULLREQ_bgatlas = requests.get(url = f'https://api.boardgameatlas.com/api/search?name={search_rules}&client_id=U3E6STzUeQ&limit=0&skip=0&fields=rules_url')\n", + " FULLREQ_databg = json.loads(FULLREQ_bgatlas.text)\n", + " #print(FULLREQ_databg[\"games\"][1][\"rules_url\"])\n", + " return FULLREQ_databg[\"games\"][1][\"rules_url\"]\n", + "\n", + "rules_requester('Gùgōng')" + ] + }, + { + "cell_type": "code", + "execution_count": 1831, + "id": "cfa5b0cc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'http://secrethitler.com/assets/Secret_Hitler_Rules.pdf'" + ] + }, + "execution_count": 1831, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 1834, + "id": "8ae01556", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "http://secrethitler.com/assets/Secret_Hitler_Rules.pdf\n", + "\n", + "For more info click on the link:\n", + " https://www.boardgameatlas.com/game/cb1DcPrnkz/\n" + ] + } + ], + "source": [ + "def recom_rules(recom_id):\n", + " \n", + " recom_rules = df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == recom_id][\"BG_Name\"].iloc[0]\n", + " #print(recom_rules)\n", + " rules_link = rules_requester(recom_rules)\n", + " #print(rules_link)\n", + " if rules_link != None:\n", + " print(\"If you wish to know how to play it use following link:\\n\", rules_link)\n", + " else:\n", + " pass\n", + " \n", + " recom_url = df_fullBG_ML[df_fullBG_ML[\"BG_ID\"] == recom_id][\"BG_url\"].iloc[0]\n", + " print(\"\\nFor more info click on the link:\\n\", recom_url)\n", + " return\n", + "\n", + "recom_rules('cb1DcPrnkz')" + ] + }, + { + "cell_type": "code", + "execution_count": 1357, + "id": "518c7d9a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Scythe: Invaders from Afar'" + ] + }, + "execution_count": 1357, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cluster_recomm = DB_user_cluster()\n", + "cluster_row = df_fullBG_ML[df_fullBG_ML['cluster'] == cluster_recomm].sample()\n", + "#recom_name = df_fullBG_ML[df_fullBG_ML['index'] == cluster_row[\"index\"]]\n", + "\n", + "\n", + "#print(cluster_row)\n", + "recom_index = cluster_row[\"index\"]\n", + "\n", + "df_fullBG_ML[df_fullBG_ML[\"index\"] == recom_index.iloc[0]][\"BG_Name\"].iloc[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "264b40e1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1822be8d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "82f63a41", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e33bb242", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f46802f2", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b2da88cf", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "142fb8b0", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42c8598f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a7b91870", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f5341069", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "858cf83c", + "metadata": {}, + "source": [ + "# DEMO" + ] + }, + { + "cell_type": "code", + "execution_count": 1860, + "id": "dfb2ad1e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Please enter a boardgame you like:CHESS\n", + "Is this the boardgame?\n", + "\n", + "If the image is not enough, please check the following link: https://www.boardgameatlas.com/game/3hnL2wtWnM/\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Please say if it's correct or not (Y/N)N\n", + "Please enter another boardgame you like:POKER\n", + "Is this the boardgame?\n", + "\n", + "If the image is not enough, please check the following link: https://www.boardgameatlas.com/game/xmnVgGdFuI/\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Please say if it's correct or not (Y/N)Y\n", + "You should try:\n", + " Lotus \n", + "\n" + ] + }, + { + "ename": "ConnectionError", + "evalue": "HTTPSConnectionPool(host='s3-us-west-1.amazonaws.com', port=443): Max retries exceeded with url: /5cc.images/games/uploaded/1559254183527-51AsI9Gi8lL.jpg (Caused by NewConnectionError(': Failed to establish a new connection: [Errno 11001] getaddrinfo failed'))", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mgaierror\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36m_new_conn\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 168\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 169\u001b[1;33m conn = connection.create_connection(\n\u001b[0m\u001b[0;32m 170\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_dns_host\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mport\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mextra_kw\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\util\\connection.py\u001b[0m in \u001b[0;36mcreate_connection\u001b[1;34m(address, timeout, source_address, socket_options)\u001b[0m\n\u001b[0;32m 72\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 73\u001b[1;33m \u001b[1;32mfor\u001b[0m \u001b[0mres\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msocket\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetaddrinfo\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhost\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mport\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfamily\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msocket\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSOCK_STREAM\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 74\u001b[0m \u001b[0maf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msocktype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mproto\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcanonname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msa\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mres\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\socket.py\u001b[0m in \u001b[0;36mgetaddrinfo\u001b[1;34m(host, port, family, type, proto, flags)\u001b[0m\n\u001b[0;32m 917\u001b[0m \u001b[0maddrlist\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 918\u001b[1;33m \u001b[1;32mfor\u001b[0m \u001b[0mres\u001b[0m \u001b[1;32min\u001b[0m \u001b[0m_socket\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetaddrinfo\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhost\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mport\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfamily\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mproto\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 919\u001b[0m \u001b[0maf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msocktype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mproto\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcanonname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msa\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mres\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mgaierror\u001b[0m: [Errno 11001] getaddrinfo failed", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mNewConnectionError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m 698\u001b[0m \u001b[1;31m# Make the request on the httplib connection object.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 699\u001b[1;33m httplib_response = self._make_request(\n\u001b[0m\u001b[0;32m 700\u001b[0m \u001b[0mconn\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[1;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[0;32m 381\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 382\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_conn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 383\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mSocketTimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mBaseSSLError\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_validate_conn\u001b[1;34m(self, conn)\u001b[0m\n\u001b[0;32m 1009\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"sock\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;31m# AppEngine might not have `.sock`\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1010\u001b[1;33m \u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1011\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36mconnect\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 352\u001b[0m \u001b[1;31m# Add certificate verification\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 353\u001b[1;33m \u001b[0mconn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_new_conn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 354\u001b[0m \u001b[0mhostname\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhost\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36m_new_conn\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 180\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mSocketError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 181\u001b[1;33m raise NewConnectionError(\n\u001b[0m\u001b[0;32m 182\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"Failed to establish a new connection: %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mNewConnectionError\u001b[0m: : Failed to establish a new connection: [Errno 11001] getaddrinfo failed", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mMaxRetryError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m 438\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mchunked\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 439\u001b[1;33m resp = conn.urlopen(\n\u001b[0m\u001b[0;32m 440\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m 754\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 755\u001b[1;33m retries = retries.increment(\n\u001b[0m\u001b[0;32m 756\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merror\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_pool\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_stacktrace\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\urllib3\\util\\retry.py\u001b[0m in \u001b[0;36mincrement\u001b[1;34m(self, method, url, response, error, _pool, _stacktrace)\u001b[0m\n\u001b[0;32m 573\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mnew_retry\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mis_exhausted\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 574\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mMaxRetryError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_pool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merror\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mResponseError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcause\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 575\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mMaxRetryError\u001b[0m: HTTPSConnectionPool(host='s3-us-west-1.amazonaws.com', port=443): Max retries exceeded with url: /5cc.images/games/uploaded/1559254183527-51AsI9Gi8lL.jpg (Caused by NewConnectionError(': Failed to establish a new connection: [Errno 11001] getaddrinfo failed'))", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mConnectionError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mRecommend_me_boardgames\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;32m\u001b[0m in \u001b[0;36mRecommend_me_boardgames\u001b[1;34m()\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0minput_details\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0muser_input\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[0mget_recom_details\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mget_recom_id\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0muser_cluster\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 7\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[1;32mreturn\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m\u001b[0m in \u001b[0;36mget_recom_details\u001b[1;34m(recom_id)\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mrecom_name\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdf_fullBG_ML\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mdf_fullBG_ML\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"BG_ID\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m==\u001b[0m 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7\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m\u001b[0m in \u001b[0;36mshow_recom_img\u001b[1;34m(recom_id)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mrecom_url\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdf_fullBG_ML\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mdf_fullBG_ML\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"BG_ID\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mrecom_id\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"BG_image_url\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;31m#input_url = try_1[\"games\"][0][\"image_url\"]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m 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\u001b[0msession\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 61\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 62\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 63\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[0;32m 540\u001b[0m }\n\u001b[0;32m 541\u001b[0m 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request\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 655\u001b[1;33m \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 656\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 657\u001b[0m \u001b[1;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m 514\u001b[0m \u001b[1;32mraise\u001b[0m \u001b[0mSSLError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 515\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 516\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mConnectionError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 517\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 518\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mClosedPoolError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mConnectionError\u001b[0m: HTTPSConnectionPool(host='s3-us-west-1.amazonaws.com', port=443): Max retries exceeded with url: /5cc.images/games/uploaded/1559254183527-51AsI9Gi8lL.jpg (Caused by NewConnectionError(': Failed to establish a new connection: [Errno 11001] getaddrinfo failed'))" + ] + } + ], + "source": [ + "Recommend_me_boardgames()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4d88256c", + "metadata": {}, + "outputs": [], + "source": [ + "Recommend_me_boardgames()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ac504bb7", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3a0704d3", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "34457de7", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "94fa9aad", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c0ae1363", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5f6d9263", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "01c236fa", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "60ef6e95", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "38010a66", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1ecd03ca", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 1754, + "id": "b442ee01", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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indexBG_IDBG_NameBG_urlBG_image_urlBG_priceBG_msrpBG_min_playersBG_max_playersBG_mechanicsBG_categoriesBG_avg_learningBG_avg_strategyBG_avg_ratingcluster
649649nErpFnUWwPHappy Salmonhttps://www.boardgameatlas.com/game/nErpFnUWwP/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559253940411-51qbs5Ay1LL.jpg14.9914.993.06.0[{'id': 'Simultaneous Play', 'url': 'https://www.boardgameatlas.com/mechanic/DEvPj5twid/undefined'}][]0.00.03.3048788
9911qtQW5EIDA7Wizardhttps://www.boardgameatlas.com/game/qtQW5EIDA7/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254873443-515w8FbQQEL.jpg6.990.003.06.0[][{'id': 'Card Game'}]0.00.03.1785718
245245w8zjnqTtsZConcordia: Britannia & Germaniahttps://www.boardgameatlas.com/game/w8zjnqTtsZ/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/154165261505033.8624.952.05.0[][{'id': 'Expansion'}]0.00.03.8826538
876876qGQBOFz4TGSuburbia Inchttps://www.boardgameatlas.com/game/qGQBOFz4TG/https://s3-us-west-1.amazonaws.com/5cc.images/games/uploaded/1559254970101-41E1i2bnqWL.jpg15.0029.991.04.0[{'id': 'Modular Board', 'url': 'https://www.boardgameatlas.com/mechanic/U3zhCQH7Et/undefined'}, {'id': 'Tile Placement', 'url': 'https://www.boar...[]0.00.03.7619058
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"file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/PROJECT/Draft VG - TTBG Recommender.ipynb b/PROJECT/Draft VG - TTBG Recommender.ipynb deleted file mode 100644 index 602ba27..0000000 --- a/PROJECT/Draft VG - TTBG Recommender.ipynb +++ /dev/null @@ -1,357 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "f453b20f", - "metadata": {}, - "source": [ - "# DRAFT PROJECT: TABLETOP + VIDEOGAME RECOMMENDER\n" - ] - }, - { - "cell_type": "markdown", - "id": "d38b738f", - "metadata": {}, - "source": [ - "## Main Idea" - ] - }, - { - "cell_type": "markdown", - "id": "ed2d0815", - "metadata": {}, - "source": [ - "Create a Tabletop/Boardgame recommender that asks users a videogame they like.\n", - "\n", - "Clustering VG and adding TTBG to the grouping. \n", - "\n", - "Not based just in theme/genre i.e Horror, Resource Management, Strategy, etc\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "31b1ba21", - "metadata": {}, - "source": [ - "### First problem to tackle" - ] - }, - { - "cell_type": "markdown", - "id": "89ce9fed", - "metadata": {}, - "source": [ - "Resources
\n", - "
\n", - "https://www.tabletopfinder.eu/en#
\n", - "
\n", - "https://www.igdb.com/discover
\n", - "
\n", - "\n", - "* Are APIs linkable? What parameters are defined in DBs, are they translatable? i.e Param VG 'Fast-paced', 'Asymmetrical pvp', etc =? Param TTBG 'Arcade-like/Casual', 'Game Master', etc" - ] - }, - { - "cell_type": "markdown", - "id": "e79ef90c", - "metadata": {}, - "source": [ - "#### importing" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "8ded8e95", - "metadata": {}, - "outputs": [], - "source": [ - "# API\n", - "\n", - "import requests\n", - "\n", - "\n", - "import random\n", - "import pandas as pd\n", - "from bs4 import BeautifulSoup\n", - "\n", - "#import pprint\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "5b5d6e2e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collecting twitchAPI\n", - " Downloading twitchAPI-2.3.2.tar.gz (40 kB)\n", - "Requirement already satisfied: requests in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from twitchAPI) (2.25.1)\n", - "Requirement already satisfied: python-dateutil in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from twitchAPI) (2.8.1)\n", - "Collecting aiohttp\n", - " Downloading aiohttp-3.7.4.post0-cp38-cp38-win_amd64.whl (635 kB)\n", - "Collecting websockets\n", - " Downloading websockets-9.1-cp38-cp38-win_amd64.whl (90 kB)\n", - "Collecting async-timeout<4.0,>=3.0\n", - " Downloading async_timeout-3.0.1-py3-none-any.whl (8.2 kB)\n", - "Requirement already satisfied: attrs>=17.3.0 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from aiohttp->twitchAPI) (20.3.0)\n", - "Requirement already satisfied: typing-extensions>=3.6.5 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from aiohttp->twitchAPI) (3.7.4.3)\n", - "Requirement already satisfied: chardet<5.0,>=2.0 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from aiohttp->twitchAPI) (4.0.0)\n", - "Collecting multidict<7.0,>=4.5\n", - " Downloading multidict-5.1.0-cp38-cp38-win_amd64.whl (48 kB)\n", - "Collecting yarl<2.0,>=1.0\n", - " Downloading yarl-1.6.3-cp38-cp38-win_amd64.whl (125 kB)\n", - "Requirement already satisfied: idna>=2.0 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from yarl<2.0,>=1.0->aiohttp->twitchAPI) (2.10)\n", - "Requirement already satisfied: six>=1.5 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from python-dateutil->twitchAPI) (1.15.0)\n", - "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from requests->twitchAPI) (1.26.4)\n", - "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\emanuele\\anaconda3\\lib\\site-packages (from requests->twitchAPI) (2020.12.5)\n", - "Building wheels for collected packages: twitchAPI\n", - " Building wheel for twitchAPI (setup.py): started\n", - " Building wheel for twitchAPI (setup.py): finished with status 'done'\n", - " Created wheel for twitchAPI: filename=twitchAPI-2.3.2-py3-none-any.whl size=41196 sha256=d7346103bd6061a452901936d8818a9fe43030c2e8cdd3d8a48357a0117c9395\n", - " Stored in directory: c:\\users\\emanuele\\appdata\\local\\pip\\cache\\wheels\\05\\f9\\e9\\02dcf9aed62e223f4e623da2953383096225c05f3fe606ed5a\n", - "Successfully built twitchAPI\n", - "Installing collected packages: multidict, yarl, async-timeout, websockets, aiohttp, twitchAPI\n", - "Successfully installed aiohttp-3.7.4.post0 async-timeout-3.0.1 multidict-5.1.0 twitchAPI-2.3.2 websockets-9.1 yarl-1.6.3\n", - "Note: you may need to restart the kernel to use updated packages.\n" - ] - } - ], - "source": [ - "pip install twitchAPI" - ] - }, - { - "cell_type": "markdown", - "id": "9ddc5c2e", - "metadata": {}, - "source": [ - "### Trying webscraping for top VG" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "0523eb5b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "200" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#url = 'https://www.igdb.com/top-100/games'\n", - "\n", - "# trying just pone page of a VG\n", - "\n", - "\n", - "url = 'https://www.igdb.com/games/persona-5-royal'\n", - "\n", - "\n", - "page = requests.get(url)\n", - "page.status_code" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "894a4467", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\n", - "\n", - "\n", - "Persona 5 Royal (2019)
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Followers: 32

Persona 5 RoyalEdit

Oct 31, 2019 (...)

Atlus

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Persona 5 Royal is a Expanded Game for Persona 5

Genre: Adventure, Role-playing (RPG)

Platforms: PlayStation 4

Versions: See 4 more versions of this game

An enhanced version of Persona 5 with some new characters and a third semester added to the game. Released Internationally in 2020.


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99Superb94
Based on 80
member ratings
Based on 9
critic ratings

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Member Reviews

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captainrockyo
2 reviews

Great 100%

I'll preface by saying that this is the first Persona game I've played. The vanilla version was on my to-play list for ages and when it came time to finally play it, I was convinced by many rave reviews that Persona 5 Royal was the way to go and a great entry point into the series.\n", - "\n", - "I'm so glad I listened. This game is phenomenal and one hell of a ride.\n", - "\n", - "The storyline is well-written and kept me engaged to the end. It's a very long game. It took ... Read More
justine_advenworks
1 reviews

Great 100%

This game is perfect. That's all I need to say!
Graphics are great, the UI is awesome, the musics are perfect (well-executed, nice rhythm, good quality), characters are well written and interesting, it covers both some serious issues and lighter topics, the story is great... It's one of my favorite J-RPG ever.
DingleDongle
58 reviews

Good 90%

This game should be a step up in every way but I feel like Yoshizawa's addition comes of almost robotic in placement. She barely interacts with the group other than the the new additions, and almost pressures you to choose her as your romance option. In stark contrast, to the final section of the game where she is clearly added on. The character actually has a good point one/two months earlier to join the group but it's clear that they made a de... Read More

Recommendations




" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# VG soup is a page with VG ordered by Rating, desc. \n", - "\n", - "VGsoup = BeautifulSoup(page.content, 'html.parser')\n", - "VGsoup" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "7673ffea", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Lookin for the info of games showed\n", - "\n", - "#VG_list = VGsoup.find_all(\"span\", {\"class\":\"chart-element__information__song text--truncate color--primary\"})\n", - "\n", - "#content-page > div > div > div.mar-lg-top > div.row.fix-heights > div:nth-child(1) > div > div.media-body\n", - "\n", - "#VG_name = [elem.get_text() for elem in song_list]\n", - "\n", - "VG_list = VGsoup.find_all()\n", - "\n", - "\n", - "\n", - "VG_list" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "058e6bdf", - "metadata": {}, - "outputs": [], - "source": [ - "### Check this Ema, found it - Att. Ema\n", - "\n", - "from twitch import TwitchClient\n", - "import twitch\n", - "\n", - "\n", - "client = TwitchClient(client_id='CLIENT ID', oauth_token='TOKEN')\n", - "channel = client.channels.get_by_id(44322889)\n", - "client.users.follow_channel(user_id=400025983, channel_id=44322889)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.8" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/your-project/.~lock.Technical Report Board game recommender.odt# b/your-project/.~lock.Technical Report Board game recommender.odt# deleted file mode 100644 index eefd82d..0000000 --- a/your-project/.~lock.Technical Report Board game recommender.odt# +++ /dev/null @@ -1 +0,0 @@ -,LAPTOP-87AS3O35/Emanuele,LAPTOP-87AS3O35,09.07.2021 12:47,file:///C:/Users/Emanuele/AppData/Roaming/OpenOffice/4; \ No newline at end of file