{ "cells": [ { "cell_type": "markdown", "metadata": { "heading_collapsed": true }, "source": [ "# Build quilt data package on the fly\n", "\n", "`pip install quilt`" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "hidden": true }, "outputs": [], "source": [ "import quilt\n", "\n", "pkg_name = 'iconix/deephypebot'\n", "\n", "# start with an empty package -- revision1\n", "#quilt.build(pkg_name)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "hidden": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "num_reviews: 25160\n" ] }, { "data": { "text/html": [ "
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artistartist_idaudio_featuresauthorcontentdate_publisheddekdescdirectiondomain...pages_renderedpost_titleposturlrendered_pagessitenamesong_titlespotify_genresspotify_idtotal_pagesword_count
0Mt. Joy69tiO1fG8VWduDl3ji2qhI{'danceability': 0.486, 'energy': 0.638, 'key'...NoneNew Music\\nMt. Joy reached out to us with the ...2017-11-20T13:33:10.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.buffablog.com...NaNMt. Joy - \"Silver Lining\"http://www.buffablog.com/mt-joy-silver-lining/1.0buffaBLOGSilver Lining[deep new americana, folk-pop, indie pop, mode...2fpDrL2Vpee0JnM6AoUFvl186
1Mt. Joy69tiO1fG8VWduDl3ji2qhI{'danceability': 0.486, 'energy': 0.638, 'key'...MartinFolk rockers Mt. Joy have debuted their new so...2017-11-16T00:00:00.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.discobelle.net...NaNMt. Joy – Silver Lining | Discobelle.nethttp://www.discobelle.net/2017/11/16/mt-joy-si...1.0DiscobelleSilver Lining[deep new americana, folk-pop, indie pop, mode...2fpDrL2Vpee0JnM6AoUFvl183
2Mt. Joy69tiO1fG8VWduDl3ji2qhI{'danceability': 0.486, 'energy': 0.638, 'key'...NaskoYou know we're digging Mt. Joy.\\nTheir new sin...2017-11-14T14:30:26.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.stereofox.com...NaNMt. Joy - Silver Lining | Stereofox Music Bloghttps://www.stereofox.com/mt-joy-silver-lining/1.0StereofoxSilver Lining[deep new americana, folk-pop, indie pop, mode...2fpDrL2Vpee0JnM6AoUFvl175
3Mt. Joy69tiO1fG8VWduDl3ji2qhI{'danceability': 0.486, 'energy': 0.638, 'key'...D & dNothing against the profession, but the U.S. h...2018-06-20T10:53:00.000ZNaN“Silver Lining” is the fourth released single ...ltrindieobsessive.blogspot.com...NaN“Silver Lining” by Mt. Joy – A Song Reviewhttp://indieobsessive.blogspot.com/2017/11/sil...1.0Indie ObsessiveSilver Lining[deep new americana, folk-pop, indie pop, mode...2fpDrL2Vpee0JnM6AoUFvl1416
4Opia70zHrrrPfBkVV44AEhFyyh{'danceability': 0.609, 'energy': 0.623, 'key'...Nat MorawskiConnecticut duo Opia have released a guitar he...2018-05-24T00:00:00.000ZNaN\\n\\nI don’t know why but this feels like a bre...ltracidstag.com...NaNOpia – ‘Four Winds’https://acidstag.com/2018/05/opia-four-winds/1.0acid stagFour Winds[vapor soul]3NPiANHZYahLZhUT00GwTw1148
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5 rows × 32 columns

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" ], "text/plain": [ " artist artist_id \\\n", "0 Mt. Joy 69tiO1fG8VWduDl3ji2qhI \n", "1 Mt. Joy 69tiO1fG8VWduDl3ji2qhI \n", "2 Mt. Joy 69tiO1fG8VWduDl3ji2qhI \n", "3 Mt. Joy 69tiO1fG8VWduDl3ji2qhI \n", "4 Opia 70zHrrrPfBkVV44AEhFyyh \n", "\n", " audio_features author \\\n", "0 {'danceability': 0.486, 'energy': 0.638, 'key'... None \n", "1 {'danceability': 0.486, 'energy': 0.638, 'key'... Martin \n", "2 {'danceability': 0.486, 'energy': 0.638, 'key'... Nasko \n", "3 {'danceability': 0.486, 'energy': 0.638, 'key'... D & d \n", "4 {'danceability': 0.609, 'energy': 0.623, 'key'... Nat Morawski \n", "\n", " content \\\n", "0 New Music\\nMt. Joy reached out to us with the ... \n", "1 Folk rockers Mt. Joy have debuted their new so... \n", "2 You know we're digging Mt. Joy.\\nTheir new sin... \n", "3 Nothing against the profession, but the U.S. h... \n", "4 Connecticut duo Opia have released a guitar he... \n", "\n", " date_published dek \\\n", "0 2017-11-20T13:33:10.000Z NaN \n", "1 2017-11-16T00:00:00.000Z NaN \n", "2 2017-11-14T14:30:26.000Z NaN \n", "3 2018-06-20T10:53:00.000Z NaN \n", "4 2018-05-24T00:00:00.000Z NaN \n", "\n", " desc direction \\\n", "0 “Silver Lining” is the fourth released single ... ltr \n", "1 “Silver Lining” is the fourth released single ... ltr \n", "2 “Silver Lining” is the fourth released single ... ltr \n", "3 “Silver Lining” is the fourth released single ... ltr \n", "4 \\n\\nI don’t know why but this feels like a bre... ltr \n", "\n", " domain ... pages_rendered \\\n", "0 www.buffablog.com ... NaN \n", "1 www.discobelle.net ... NaN \n", "2 www.stereofox.com ... NaN \n", "3 indieobsessive.blogspot.com ... NaN \n", "4 acidstag.com ... NaN \n", "\n", " post_title \\\n", "0 Mt. Joy - \"Silver Lining\" \n", "1 Mt. Joy – Silver Lining | Discobelle.net \n", "2 Mt. Joy - Silver Lining | Stereofox Music Blog \n", "3 “Silver Lining” by Mt. Joy – A Song Review \n", "4 Opia – ‘Four Winds’ \n", "\n", " posturl rendered_pages \\\n", "0 http://www.buffablog.com/mt-joy-silver-lining/ 1.0 \n", "1 http://www.discobelle.net/2017/11/16/mt-joy-si... 1.0 \n", "2 https://www.stereofox.com/mt-joy-silver-lining/ 1.0 \n", "3 http://indieobsessive.blogspot.com/2017/11/sil... 1.0 \n", "4 https://acidstag.com/2018/05/opia-four-winds/ 1.0 \n", "\n", " sitename song_title \\\n", "0 buffaBLOG Silver Lining \n", "1 Discobelle Silver Lining \n", "2 Stereofox Silver Lining \n", "3 Indie Obsessive Silver Lining \n", "4 acid stag Four Winds \n", "\n", " spotify_genres spotify_id \\\n", "0 [deep new americana, folk-pop, indie pop, mode... 2fpDrL2Vpee0JnM6AoUFvl \n", "1 [deep new americana, folk-pop, indie pop, mode... 2fpDrL2Vpee0JnM6AoUFvl \n", "2 [deep new americana, folk-pop, indie pop, mode... 2fpDrL2Vpee0JnM6AoUFvl \n", "3 [deep new americana, folk-pop, indie pop, mode... 2fpDrL2Vpee0JnM6AoUFvl \n", "4 [vapor soul] 3NPiANHZYahLZhUT00GwTw \n", "\n", " total_pages word_count \n", "0 1 86 \n", "1 1 83 \n", "2 1 75 \n", "3 1 416 \n", "4 1 148 \n", "\n", "[5 rows x 32 columns]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import os\n", "import pandas as pd\n", "\n", "BASE_DIR = os.getcwd()\n", "DATA_DIR = os.path.join(BASE_DIR, '..', 'datasets')\n", "reviews_f = 'reviews_and_metadata'\n", "\n", "reviews_5yrs_f = os.path.join(DATA_DIR, f'{reviews_f}_5yrs.json')\n", "reviews_5yrs_df = pd.read_json(reviews_5yrs_f)\n", "print(f'num_reviews: {len(reviews_5yrs_df)}')\n", "reviews_5yrs_df.head()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "Index(['artist', 'artist_id', 'author', 'content', 'date_published', 'dek',\n", " 'desc', 'direction', 'domain', 'error', 'excerpt', 'extract_url',\n", " 'failed', 'genius_id', 'genres', 'itemid', 'lang', 'lead_image_url',\n", " 'masked_content', 'messages', 'next_page_url', 'pages_rendered',\n", " 'post_title', 'posturl', 'rendered_pages', 'sitename', 'song_title',\n", " 'spotify_genres', 'spotify_id', 'total_pages', 'word_count',\n", " 'audio_features', 'danceability', 'energy', 'key', 'loudness', 'mode',\n", " 'speechiness', 'acousticness', 'instrumentalness', 'liveness',\n", " 'valence', 'tempo', 'duration_ms', 'time_signature'],\n", " dtype='object')" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# https://stackoverflow.com/a/38231651\n", "\n", "# quilt cannot handle column 'audio_features' because it is a dict - convert it into multiple columns\n", "# convert original 'audio_features' column from dict to JSON string\n", "audio_df = reviews_5yrs_df['audio_features'].apply(pd.Series)[['danceability', 'energy', 'key', 'loudness', 'mode', 'speechiness', 'acousticness', 'instrumentalness', 'liveness', 'valence', 'tempo', 'duration_ms', 'time_signature']]\n", "str_df = reviews_5yrs_df['audio_features'].astype('|S')\n", "reviews_5yrs_df = pd.concat([reviews_5yrs_df.drop(['audio_features'], axis=1), str_df, audio_df], axis=1)\n", "reviews_5yrs_df.columns" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "hidden": true, "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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artistartist_idauthorcontentdate_publisheddekdescdirectiondomainerror...loudnessmodespeechinessacousticnessinstrumentalnesslivenessvalencetempoduration_mstime_signature
0Mt. Joy69tiO1fG8VWduDl3ji2qhINoneNew Music\\nMt. Joy reached out to us with the ...2017-11-20T13:33:10.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.buffablog.comNaN...-6.2311.00.03230.0009210.0000000.07800.1780144.458199827.04.0
1Mt. Joy69tiO1fG8VWduDl3ji2qhIMartinFolk rockers Mt. Joy have debuted their new so...2017-11-16T00:00:00.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.discobelle.netNaN...-6.2311.00.03230.0009210.0000000.07800.1780144.458199827.04.0
2Mt. Joy69tiO1fG8VWduDl3ji2qhINaskoYou know we're digging Mt. Joy.\\nTheir new sin...2017-11-14T14:30:26.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.stereofox.comNaN...-6.2311.00.03230.0009210.0000000.07800.1780144.458199827.04.0
3Mt. Joy69tiO1fG8VWduDl3ji2qhID & dNothing against the profession, but the U.S. h...2018-06-20T10:53:00.000ZNaN“Silver Lining” is the fourth released single ...ltrindieobsessive.blogspot.comNaN...-6.2311.00.03230.0009210.0000000.07800.1780144.458199827.04.0
4Opia70zHrrrPfBkVV44AEhFyyhNat MorawskiConnecticut duo Opia have released a guitar he...2018-05-24T00:00:00.000ZNaN\\n\\nI don’t know why but this feels like a bre...ltracidstag.comNaN...-6.5751.00.10200.1900000.0000340.06250.582087.974223814.04.0
5Opia70zHrrrPfBkVV44AEhFyyhAdeel AminiNow this is inventive. Not that we'd expect an...2018-05-17T11:30:22.000ZNaN\\n\\nI don’t know why but this feels like a bre...ltrpressplayok.comNaN...-6.5751.00.10200.1900000.0000340.06250.582087.974223814.04.0
6ELOHIM6wKxOKEA3K6R2UZ3COLXEYOblivious PopSince the very first release from Elohim about...2018-06-20T16:01:00.000ZNaN\\n\\n?\\n\\nltrwww.obliviouspop.comNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
7ELOHIM6wKxOKEA3K6R2UZ3COLXEYNoneNew Music\\nNow this is how you get a party sta...2018-05-09T22:44:56.000ZNaN\\n\\n?\\n\\nltrwww.buffablog.comNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
8ELOHIM6wKxOKEA3K6R2UZ3COLXEYNoneThis Friday, April 27th, ELOHIM releases her l...NoneNaN\\n\\n?\\n\\nltrwww.theautumnroses.comNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
9ELOHIM6wKxOKEA3K6R2UZ3COLXEYNoneWhat a long way Elohim has come since the rele...2018-04-24T17:12:03.000ZNaN\\n\\n?\\n\\nltrwww.highclouds.orgNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
10ELOHIM6wKxOKEA3K6R2UZ3COLXEYAcid StagLos Angeles artist ELOHIM will be releasing he...2018-04-24T00:00:00.000ZNaN\\n\\n?\\n\\nltracidstag.comNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
11ELOHIM6wKxOKEA3K6R2UZ3COLXEYAdeel AminiElohim is no stranger to full-pelt pop, and it...2018-04-23T21:35:58.000ZNaN\\n\\n?\\n\\nltrpressplayok.comNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
12G Flip4SdIXLzfabqU61iK7SnKAUBreaking More Waves BlogIf you follow Breaking More Waves on Twitter, ...2018-06-20T08:00:00.000ZNaN\\n\\n?\\n\\nltrbreakingmorewaves.blogspot.comNaN...-5.8651.00.04460.4420000.0000020.07420.6090102.988217148.04.0
13G Flip4SdIXLzfabqU61iK7SnKAUNoneTags G Flip Georgia Flipo\\nBased in London, En...2018-05-18T11:25:00.000ZNaN\\n\\n?\\n\\nltrwww.highclouds.orgNaN...-5.8651.00.04460.4420000.0000020.07420.6090102.988217148.04.0
14G Flip4SdIXLzfabqU61iK7SnKAUAdeel AminiG Flip - or Georgia to her fam - should be a n...2018-05-16T16:32:46.000ZNaN\\n\\n?\\n\\nltrpressplayok.comNaN...-5.8651.00.04460.4420000.0000020.07420.6090102.988217148.04.0
15Abalone3vxlNs9NCsdlD8xlYIPOj3NoneAlthough this year's SPOT Festival - which too...2018-05-24T08:06:33.000ZNaN\\n\\n“Sleigh Ride” is the 3rd track on “A Lafac...ltrdotsanddashes.co.ukNaN...-8.1620.00.03220.0118000.6880000.12300.1730111.001317250.04.0
16Abalone3vxlNs9NCsdlD8xlYIPOj3Synths of EdenIt has been a while since we last posted a dow...2018-05-11T13:08:38.000ZNaN\\n\\n“Sleigh Ride” is the 3rd track on “A Lafac...ltrsynthsofeden.comNaN...-8.1620.00.03220.0118000.6880000.12300.1730111.001317250.04.0
17Junip7HcipAIJatVGT4U6HQrnFWNoneIf like me you were wondering what he was up t...NoneNaN\\n\\nThe subject of this song finds themself su...ltrwww.mp3hugger.comNaN...-8.0331.00.04170.4720000.5230000.11100.284090.377339293.04.0
18Kevin Morby6fxk3UXHTFYET8qCT9WlBFNoneBeautiful Strangers -Kevin Morby\\nKevin Morby'...NoneNaN\\n\\nAmazing\\n\\nltrnoondaytune.comNaN...-11.1271.00.04450.7620000.0689000.10500.8910100.042375903.04.0
19Kevin Morby6fxk3UXHTFYET8qCT9WlBFThe Listening Post BlogKevin Morby has released new single 'Beautiful...2016-10-27T17:34:33.000ZNaN\\n\\nAmazing\\n\\nltrthelisteningpostblog.wordpress.comNaN...-11.1271.00.04450.7620000.0689000.10500.8910100.042375903.04.0
20Cosmo's Midnight4VivsO1n4n2Mi2Btyb5gfLAdrienby Adrien * Published 19 February, 2018 * Upd...2018-02-19T20:22:54.000ZNaN\\n\\n?\\n\\nltrdoyoulikethatsong.comNaN...-11.8991.00.23500.1190000.0022700.07820.4420109.079241651.04.0
21Cosmo's Midnight4VivsO1n4n2Mi2Btyb5gfLZuliIt's been quite a while since these Cosmo's Mi...2018-02-17T11:37:47.000ZNaN\\n\\n?\\n\\nltrwww.stereofox.comNaN...-11.8991.00.23500.1190000.0022700.07820.4420109.079241651.04.0
22Gilligan Moss2fo0F81pRzdXjmWP6MkQqBAcid StagGilligan Moss are gearing us up for the weeken...2018-05-18T00:00:00.000ZNaN\\n\\n“Want U So Bad” is the second single, writ...ltracidstag.comNaN...-7.1890.00.03800.2510000.0618000.24700.7120117.016247160.04.0
23Teleman3wrtQM9ICPPeHwoc1GWiyVNoneLondon's very-own Teleman has unleashed their ...2018-05-16T00:00:00.000ZNaN\\n\\n?\\n\\nltrwww.wickeddchildd.comNaN...-8.7720.00.03160.0144000.3000000.22800.5620124.003293142.04.0
24RÜFÜS / RÜFÜS DU SOL5Pb27ujIyYb33zBqVysBkjAcid StagAussie lads R UFUS dropped a new tune over the...2018-05-28T00:00:00.000ZNaN\\n\\nRÜFÜS DU SOL’s first single from their upc...ltracidstag.comNaN...-6.9090.00.03160.0156000.1840000.18700.2050120.001238008.04.0
25RÜFÜS / RÜFÜS DU SOL5Pb27ujIyYb33zBqVysBkjErin MaherRecently I had a conversation with a few music...NoneNaN\\n\\nRÜFÜS DU SOL’s first single from their upc...ltrbeautifulbuzzz.comNaN...-6.9090.00.03160.0156000.1840000.18700.2050120.001238008.04.0
26Ben-Browning497VSHqaZA32b7tgCETFEHNoneBen Browning - \"Sunshine Baby\"\\nYou may know B...2018-05-29T23:12:32.000ZNaN\\n\\n?\\n\\nltrwww.weallwantsomeone.orgNaN...-8.3651.00.02760.0724000.0094500.14200.7730108.980214400.04.0
27Ben-Browning497VSHqaZA32b7tgCETFEHMadison BlomKicking off his forthcoming album with the rel...2018-05-22T12:35:51.000ZNaN\\n\\n?\\n\\nltrimperfectfifth.comNaN...-8.3651.00.02760.0724000.0094500.14200.7730108.980214400.04.0
28Ben-Browning497VSHqaZA32b7tgCETFEHNoneThree years after Turns, Australian Melbourne-...2018-05-20T08:49:53.000ZNaN\\n\\n?\\n\\nltrsonofmarketing.comNaN...-8.3651.00.02760.0724000.0094500.14200.7730108.980214400.04.0
29Ben-Browning497VSHqaZA32b7tgCETFEHBuzzBen Browning (Photo by Angel Ceballos)\\nCut Co...2018-05-17T18:43:18.000ZNaN\\n\\n?\\n\\nltrbuzzbands.laNaN...-8.3651.00.02760.0724000.0094500.14200.7730108.980214400.04.0
..................................................................
25130Disclosure6nS5roXSAGhTGr34W6n7EtJared SilvaNew\\nWe've heard a couple collaborations from ...NoneNaN\\n\\n“F for You” comes courtesy of Howard Lawre...ltrwww.allthingsgomusic.comNaN...-7.4260.00.06740.0067600.0303000.11000.2730124.023269947.04.0
25131Disclosure6nS5roXSAGhTGr34W6n7EtGeorge\\nO'BrienYou can count the number of days beforeDisclos...NoneNaN\\n\\n“F for You” comes courtesy of Howard Lawre...ltrNoneNaN...-7.4260.00.06740.0067600.0303000.11000.2730124.023269947.04.0
25132ScHoolboy Q5IcR3N7QB1j6KBL8eImZ8mNoneSchoolboy Q might not be getting the plaudits ...NoneNaN\\n\\nThis song premiered during the 2013 NBA Pl...ltrwww.indieshuffle.comNaN...-7.2300.00.15900.3700000.0000000.12500.1760123.966272453.04.0
25133ScHoolboy Q5IcR3N7QB1j6KBL8eImZ8mHuman DrizzleSchoolboy Q, the rapper behind some of the big...2013-05-31T08:14:33.000ZNaN\\n\\nThis song premiered during the 2013 NBA Pl...ltrhumandrizzle.comNaN...-7.2300.00.15900.3700000.0000000.12500.1760123.966272453.04.0
25134ScHoolboy Q5IcR3N7QB1j6KBL8eImZ8mNoneScHoolboy Q 's latest track stands out to me a...2013-05-28T04:50:13.000ZNaN\\n\\nThis song premiered during the 2013 NBA Pl...ltrbeatspill.comNaN...-7.2300.00.15900.3700000.0000000.12500.1760123.966272453.04.0
25135Empire Of The Sun67hb7towEyKvt5Z8Bx306cNoneOff the back of an incredibly succcessful summ...NoneNaN\\n\\n?\\n\\nltrstoneyroads.comNaN...-5.5511.00.09170.0016800.7470000.16300.0925128.007356719.04.0
25136//Fractures7sjRnhONmeFL1tmlUvdq70Confusion\"Twisted\" is the lead single from an EP to be ...NoneNaN\\n\\n?\\n\\nltrpigeonsandplanes.comNaN...-10.5240.00.06740.1050000.4110000.24100.3850134.138260402.04.0
25137Still Parade3CXevh2SLL5B4cuTedOkj5b3\"Actors\" is the debut track from newcomers Sti...2013-06-04T18:20:09.000ZNaN\\n\\n?\\n\\nltrblahblahblahscience.comNaN...-12.8380.00.03440.8780000.7890000.21300.360090.967241922.04.0
25138Still Parade3CXevh2SLL5B4cuTedOkj5NoneStill Parade are superstars in waiting. They s...NoneNaN\\n\\n?\\n\\nltrwww.indieshuffle.comNaN...-12.8380.00.03440.8780000.7890000.21300.360090.967241922.04.0
25139Still Parade3CXevh2SLL5B4cuTedOkj5None\"Actors are so fortunate. They can choose whet...NoneNaN\\n\\n?\\n\\nltrjoftheday.comNaN...-12.8380.00.03440.8780000.7890000.21300.360090.967241922.04.0
25140J. Cole6l3HvQ5sa6mXTsMTB19rO5Justin McCarthyNew\\nGenre: Hip Hop Sounds Like: Drake\\nThe la...NoneNaN\\n\\nThis is the third release off of J Cole’s ...ltrwww.allthingsgomusic.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25141J. Cole6l3HvQ5sa6mXTsMTB19rO5NoneWhile Kanye West is taking the minimalist, mys...2013-05-31T19:22:17.000ZNaN\\n\\nThis is the third release off of J Cole’s ...ltrwww.idolator.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25142J. Cole6l3HvQ5sa6mXTsMTB19rO5NoneJ. Cole 's Born Sinner has been highly anticip...2013-05-31T18:00:29.000ZNaN\\n\\nThis is the third release off of J Cole’s ...ltrearmilk.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25143J. Cole6l3HvQ5sa6mXTsMTB19rO5NoneFor whatever reason, there is not much J. Cole...NoneNaN\\n\\nThis is the third release off of J Cole’s ...ltrwww.indieshuffle.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25144J. Cole6l3HvQ5sa6mXTsMTB19rO5ConfusionWith Born Sinner coming June 18, J. Cole drops...NoneNaN\\n\\nThis is the third release off of J Cole’s ...ltrpigeonsandplanes.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25145J. Cole6l3HvQ5sa6mXTsMTB19rO5NoneJ. Cole decides to liberate this new track off...2013-05-31T01:59:39.000ZNaN\\n\\nThis is the third release off of J Cole’s ...ltrnahright.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25146Robert DeLong42crL07E4WPfVovyUtMpvCNoneDid he make you fing dance? That he did. *Robe...2012-11-15T21:27:23.000ZNaN\\n\\n“Global Concepts” is the 2nd track on Robe...ltrearmilk.comNaN...-3.7580.00.20800.3320000.0000100.36400.6510107.926278147.04.0
25147Robert DeLong42crL07E4WPfVovyUtMpvCb3As his first release under the Glassnote label...2012-10-31T12:38:01.000ZNaN\\n\\n“Global Concepts” is the 2nd track on Robe...ltrblahblahblahscience.comNaN...-3.7580.00.20800.3320000.0000100.36400.6510107.926278147.04.0
25148Robert DeLong42crL07E4WPfVovyUtMpvCNoneSometimes a little experimentation is good. An...NoneNaN\\n\\n“Global Concepts” is the 2nd track on Robe...ltrwww.indieshuffle.comNaN...-3.7580.00.20800.3320000.0000100.36400.6510107.926278147.04.0
25149Robert DeLong42crL07E4WPfVovyUtMpvCNelsonNYC-based label Glassnote has quite an extensi...NoneNaN\\n\\n“Global Concepts” is the 2nd track on Robe...ltrwww.allthingsgomusic.comNaN...-3.7580.00.20800.3320000.0000100.36400.6510107.926278147.04.0
25150f y f e0HdNDZaNm7xLt18v9aWDfeConverted to dEUS-ism in 2001. Keen on screami...The brilliant Public Service Broadcasting (sti...2013-05-31T17:15:28.000ZNaN\\n\\n?\\n\\nltrwww.frontstagemusic.co.ukNaN...-26.8261.00.05800.9960000.9260000.11700.856078.980123000.03.0
25151f y f e0HdNDZaNm7xLt18v9aWDfeNeil Wood31 May, 2013Ex-David's Lyre man Paul Dixon burst onto the ...NoneNaN\\n\\n?\\n\\nltrwww.thefourohfive.comNaN...-26.8261.00.05800.9960000.9260000.11700.856078.980123000.03.0
25152f y f e0HdNDZaNm7xLt18v9aWDfeb3FYFE, a/k/a former David's Lyre frontman Paul ...2013-05-30T18:46:33.000ZNaN\\n\\n?\\n\\nltrblahblahblahscience.comNaN...-26.8261.00.05800.9960000.9260000.11700.856078.980123000.03.0
25153Sylvester5TGTpu4g8siFOIctZuQO7yNeil BarlowNew\\nGenre: Remix Sounds Like: Gigamesh\\nMy lo...NoneNaN\\n\\n“You Make Me Feel (Mighty Real)” is a clas...ltrwww.allthingsgomusic.comNaN...-12.9421.00.03200.0478000.3280000.04800.9630131.573395573.04.0
25154Baby Alpaca3UEWPRL5vRlNOP1zhRQf71NoneBaby Alpaca - Wild Child\\nBrooklyn's, NY deare...NoneNaN\\n\\n?\\n\\nltrsoundinjections.grNaN...-8.2021.00.05200.7270000.0006210.09290.061699.939352227.04.0
25155Baby Alpaca3UEWPRL5vRlNOP1zhRQf71b3New York band Baby Alpaca ably blend current w...2013-05-23T21:14:09.000ZNaN\\n\\n?\\n\\nltrblahblahblahscience.comNaN...-8.2021.00.05200.7270000.0006210.09290.061699.939352227.04.0
25156Two Door Cinema Club536BYVgOnRky0xjsPT96zlNoneAfter a couple false starts, RAC has officiall...NoneNaN\\n\\nThis song is about homesickness and Alex T...ltrwww.indieshuffle.comNaN...-6.4981.00.04780.2800000.0000000.09130.3920123.056286093.04.0
25157Adrian Lux5kp9Qhzri9LrDkzrtjt5ShNoneBack to TopMusic\\nWritten by James LedgerMay 2...NoneNaN\\n\\n?\\n\\nltrstoneyroads.comNaN...-4.3690.00.03630.0028400.0019700.13600.3910128.048166253.04.0
25158T.I. feat. Lil Wayne4OBJLual30L7gRl5UkeRcTConfusionT.I. and Lil Wayne are kicking off the America...NoneNaN\\n\\n?\\n\\nltrpigeonsandplanes.comNaN...-4.7371.00.22900.0293000.0000000.07090.3880142.037305080.04.0
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Joy 69tiO1fG8VWduDl3ji2qhI \n", "4 Opia 70zHrrrPfBkVV44AEhFyyh \n", "5 Opia 70zHrrrPfBkVV44AEhFyyh \n", "6 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "7 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "8 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "9 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "10 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "11 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "12 G Flip 4SdIXLzfabqU61iK7SnKAU \n", "13 G Flip 4SdIXLzfabqU61iK7SnKAU \n", "14 G Flip 4SdIXLzfabqU61iK7SnKAU \n", "15 Abalone 3vxlNs9NCsdlD8xlYIPOj3 \n", "16 Abalone 3vxlNs9NCsdlD8xlYIPOj3 \n", "17 Junip 7HcipAIJatVGT4U6HQrnFW \n", "18 Kevin Morby 6fxk3UXHTFYET8qCT9WlBF \n", "19 Kevin Morby 6fxk3UXHTFYET8qCT9WlBF \n", "20 Cosmo's Midnight 4VivsO1n4n2Mi2Btyb5gfL \n", "21 Cosmo's Midnight 4VivsO1n4n2Mi2Btyb5gfL \n", "22 Gilligan Moss 2fo0F81pRzdXjmWP6MkQqB \n", "23 Teleman 3wrtQM9ICPPeHwoc1GWiyV \n", "24 RÜFÜS / RÜFÜS DU SOL 5Pb27ujIyYb33zBqVysBkj \n", "25 RÜFÜS / RÜFÜS DU SOL 5Pb27ujIyYb33zBqVysBkj \n", "26 Ben-Browning 497VSHqaZA32b7tgCETFEH \n", "27 Ben-Browning 497VSHqaZA32b7tgCETFEH \n", "28 Ben-Browning 497VSHqaZA32b7tgCETFEH \n", "29 Ben-Browning 497VSHqaZA32b7tgCETFEH \n", "... ... ... \n", "25130 Disclosure 6nS5roXSAGhTGr34W6n7Et \n", "25131 Disclosure 6nS5roXSAGhTGr34W6n7Et \n", "25132 ScHoolboy Q 5IcR3N7QB1j6KBL8eImZ8m \n", "25133 ScHoolboy Q 5IcR3N7QB1j6KBL8eImZ8m \n", "25134 ScHoolboy Q 5IcR3N7QB1j6KBL8eImZ8m \n", "25135 Empire Of The Sun 67hb7towEyKvt5Z8Bx306c \n", "25136 //Fractures 7sjRnhONmeFL1tmlUvdq70 \n", "25137 Still Parade 3CXevh2SLL5B4cuTedOkj5 \n", "25138 Still Parade 3CXevh2SLL5B4cuTedOkj5 \n", "25139 Still Parade 3CXevh2SLL5B4cuTedOkj5 \n", "25140 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25141 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25142 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25143 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25144 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25145 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25146 Robert DeLong 42crL07E4WPfVovyUtMpvC \n", "25147 Robert DeLong 42crL07E4WPfVovyUtMpvC \n", "25148 Robert DeLong 42crL07E4WPfVovyUtMpvC \n", "25149 Robert DeLong 42crL07E4WPfVovyUtMpvC \n", "25150 f y f e 0HdNDZaNm7xLt18v9aWDfe \n", "25151 f y f e 0HdNDZaNm7xLt18v9aWDfe \n", "25152 f y f e 0HdNDZaNm7xLt18v9aWDfe \n", "25153 Sylvester 5TGTpu4g8siFOIctZuQO7y \n", "25154 Baby Alpaca 3UEWPRL5vRlNOP1zhRQf71 \n", "25155 Baby Alpaca 3UEWPRL5vRlNOP1zhRQf71 \n", "25156 Two Door Cinema Club 536BYVgOnRky0xjsPT96zl \n", "25157 Adrian Lux 5kp9Qhzri9LrDkzrtjt5Sh \n", "25158 T.I. feat. 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Keen on screami... \n", "25151 Neil Wood31 May, 2013 \n", "25152 b3 \n", "25153 Neil Barlow \n", "25154 None \n", "25155 b3 \n", "25156 None \n", "25157 None \n", "25158 Confusion \n", "25159 None \n", "\n", " content \\\n", "0 New Music\\nMt. Joy reached out to us with the ... \n", "1 Folk rockers Mt. Joy have debuted their new so... \n", "2 You know we're digging Mt. Joy.\\nTheir new sin... \n", "3 Nothing against the profession, but the U.S. h... \n", "4 Connecticut duo Opia have released a guitar he... \n", "5 Now this is inventive. Not that we'd expect an... \n", "6 Since the very first release from Elohim about... \n", "7 New Music\\nNow this is how you get a party sta... \n", "8 This Friday, April 27th, ELOHIM releases her l... \n", "9 What a long way Elohim has come since the rele... \n", "10 Los Angeles artist ELOHIM will be releasing he... \n", "11 Elohim is no stranger to full-pelt pop, and it... \n", "12 If you follow Breaking More Waves on Twitter, ... \n", "13 Tags G Flip Georgia Flipo\\nBased in London, En... \n", "14 G Flip - or Georgia to her fam - should be a n... \n", "15 Although this year's SPOT Festival - which too... \n", "16 It has been a while since we last posted a dow... \n", "17 If like me you were wondering what he was up t... \n", "18 Beautiful Strangers -Kevin Morby\\nKevin Morby'... \n", "19 Kevin Morby has released new single 'Beautiful... \n", "20 by Adrien * Published 19 February, 2018 * Upd... \n", "21 It's been quite a while since these Cosmo's Mi... \n", "22 Gilligan Moss are gearing us up for the weeken... \n", "23 London's very-own Teleman has unleashed their ... \n", "24 Aussie lads R UFUS dropped a new tune over the... \n", "25 Recently I had a conversation with a few music... \n", "26 Ben Browning - \"Sunshine Baby\"\\nYou may know B... \n", "27 Kicking off his forthcoming album with the rel... \n", "28 Three years after Turns, Australian Melbourne-... \n", "29 Ben Browning (Photo by Angel Ceballos)\\nCut Co... \n", "... ... \n", "25130 New\\nWe've heard a couple collaborations from ... \n", "25131 You can count the number of days beforeDisclos... \n", "25132 Schoolboy Q might not be getting the plaudits ... \n", "25133 Schoolboy Q, the rapper behind some of the big... \n", "25134 ScHoolboy Q 's latest track stands out to me a... \n", "25135 Off the back of an incredibly succcessful summ... \n", "25136 \"Twisted\" is the lead single from an EP to be ... \n", "25137 \"Actors\" is the debut track from newcomers Sti... \n", "25138 Still Parade are superstars in waiting. They s... \n", "25139 \"Actors are so fortunate. They can choose whet... \n", "25140 New\\nGenre: Hip Hop Sounds Like: Drake\\nThe la... \n", "25141 While Kanye West is taking the minimalist, mys... \n", "25142 J. Cole 's Born Sinner has been highly anticip... \n", "25143 For whatever reason, there is not much J. Cole... \n", "25144 With Born Sinner coming June 18, J. Cole drops... \n", "25145 J. Cole decides to liberate this new track off... \n", "25146 Did he make you fing dance? That he did. *Robe... \n", "25147 As his first release under the Glassnote label... \n", "25148 Sometimes a little experimentation is good. An... \n", "25149 NYC-based label Glassnote has quite an extensi... \n", "25150 The brilliant Public Service Broadcasting (sti... \n", "25151 Ex-David's Lyre man Paul Dixon burst onto the ... \n", "25152 FYFE, a/k/a former David's Lyre frontman Paul ... \n", "25153 New\\nGenre: Remix Sounds Like: Gigamesh\\nMy lo... \n", "25154 Baby Alpaca - Wild Child\\nBrooklyn's, NY deare... \n", "25155 New York band Baby Alpaca ably blend current w... \n", "25156 After a couple false starts, RAC has officiall... \n", "25157 Back to TopMusic\\nWritten by James LedgerMay 2... \n", "25158 T.I. and Lil Wayne are kicking off the America... \n", "25159 My love and adoration for The Smiths dates all... \n", "\n", " date_published dek \\\n", "0 2017-11-20T13:33:10.000Z NaN \n", "1 2017-11-16T00:00:00.000Z NaN \n", "2 2017-11-14T14:30:26.000Z NaN \n", "3 2018-06-20T10:53:00.000Z NaN \n", "4 2018-05-24T00:00:00.000Z NaN \n", "5 2018-05-17T11:30:22.000Z NaN \n", "6 2018-06-20T16:01:00.000Z NaN \n", "7 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2013-06-04T18:20:09.000Z NaN \n", "25138 None NaN \n", "25139 None NaN \n", "25140 None NaN \n", "25141 2013-05-31T19:22:17.000Z NaN \n", "25142 2013-05-31T18:00:29.000Z NaN \n", "25143 None NaN \n", "25144 None NaN \n", "25145 2013-05-31T01:59:39.000Z NaN \n", "25146 2012-11-15T21:27:23.000Z NaN \n", "25147 2012-10-31T12:38:01.000Z NaN \n", "25148 None NaN \n", "25149 None NaN \n", "25150 2013-05-31T17:15:28.000Z NaN \n", "25151 None NaN \n", "25152 2013-05-30T18:46:33.000Z NaN \n", "25153 None NaN \n", "25154 None NaN \n", "25155 2013-05-23T21:14:09.000Z NaN \n", "25156 None NaN \n", "25157 None NaN \n", "25158 None NaN \n", "25159 None NaN \n", "\n", " desc direction \\\n", "0 “Silver Lining” is the fourth released single ... ltr \n", "1 “Silver Lining” is the fourth released single ... ltr \n", "2 “Silver Lining” is the fourth released single ... ltr \n", "3 “Silver Lining” is the fourth released single ... ltr \n", "4 \\n\\nI don’t know why but this feels like a bre... ltr \n", "5 \\n\\nI don’t know why but this feels like a bre... ltr \n", "6 \\n\\n?\\n\\n ltr \n", "7 \\n\\n?\\n\\n ltr \n", "8 \\n\\n?\\n\\n ltr \n", "9 \\n\\n?\\n\\n ltr \n", "10 \\n\\n?\\n\\n ltr \n", "11 \\n\\n?\\n\\n ltr \n", "12 \\n\\n?\\n\\n ltr \n", "13 \\n\\n?\\n\\n ltr \n", "14 \\n\\n?\\n\\n ltr \n", "15 \\n\\n“Sleigh Ride” is the 3rd track on “A Lafac... ltr \n", "16 \\n\\n“Sleigh Ride” is the 3rd track on “A Lafac... ltr \n", "17 \\n\\nThe subject of this song finds themself su... ltr \n", "18 \\n\\nAmazing\\n\\n ltr \n", "19 \\n\\nAmazing\\n\\n ltr \n", "20 \\n\\n?\\n\\n ltr \n", "21 \\n\\n?\\n\\n ltr \n", "22 \\n\\n“Want U So Bad” is the second single, writ... ltr \n", "23 \\n\\n?\\n\\n ltr \n", "24 \\n\\nRÜFÜS DU SOL’s first single from their upc... ltr \n", "25 \\n\\nRÜFÜS DU SOL’s first single from their upc... ltr \n", "26 \\n\\n?\\n\\n ltr \n", "27 \\n\\n?\\n\\n ltr \n", "28 \\n\\n?\\n\\n ltr \n", "29 \\n\\n?\\n\\n ltr \n", "... ... ... \n", "25130 \\n\\n“F for You” comes courtesy of Howard Lawre... ltr \n", "25131 \\n\\n“F for You” comes courtesy of Howard Lawre... ltr \n", "25132 \\n\\nThis song premiered during the 2013 NBA Pl... ltr \n", "25133 \\n\\nThis song premiered during the 2013 NBA Pl... ltr \n", "25134 \\n\\nThis song premiered during the 2013 NBA Pl... ltr \n", "25135 \\n\\n?\\n\\n ltr \n", "25136 \\n\\n?\\n\\n ltr \n", "25137 \\n\\n?\\n\\n ltr \n", "25138 \\n\\n?\\n\\n ltr \n", "25139 \\n\\n?\\n\\n ltr \n", "25140 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25141 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25142 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25143 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25144 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25145 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25146 \\n\\n“Global Concepts” is the 2nd track on Robe... ltr \n", "25147 \\n\\n“Global Concepts” is the 2nd track on Robe... ltr 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NaN ... -6.560 \n", "10 acidstag.com NaN ... -6.560 \n", "11 pressplayok.com NaN ... -6.560 \n", "12 breakingmorewaves.blogspot.com NaN ... -5.865 \n", "13 www.highclouds.org NaN ... -5.865 \n", "14 pressplayok.com NaN ... -5.865 \n", "15 dotsanddashes.co.uk NaN ... -8.162 \n", "16 synthsofeden.com NaN ... -8.162 \n", "17 www.mp3hugger.com NaN ... -8.033 \n", "18 noondaytune.com NaN ... -11.127 \n", "19 thelisteningpostblog.wordpress.com NaN ... -11.127 \n", "20 doyoulikethatsong.com NaN ... -11.899 \n", "21 www.stereofox.com NaN ... -11.899 \n", "22 acidstag.com NaN ... -7.189 \n", "23 www.wickeddchildd.com NaN ... -8.772 \n", "24 acidstag.com NaN ... -6.909 \n", "25 beautifulbuzzz.com NaN ... -6.909 \n", "26 www.weallwantsomeone.org NaN ... -8.365 \n", "27 imperfectfifth.com NaN ... -8.365 \n", "28 sonofmarketing.com NaN ... -8.365 \n", "29 buzzbands.la NaN ... -8.365 \n", "... ... ... ... ... \n", "25130 www.allthingsgomusic.com NaN ... -7.426 \n", "25131 None NaN ... -7.426 \n", "25132 www.indieshuffle.com NaN ... -7.230 \n", "25133 humandrizzle.com NaN ... -7.230 \n", "25134 beatspill.com NaN ... -7.230 \n", "25135 stoneyroads.com NaN ... -5.551 \n", "25136 pigeonsandplanes.com NaN ... -10.524 \n", "25137 blahblahblahscience.com NaN ... -12.838 \n", "25138 www.indieshuffle.com NaN ... -12.838 \n", "25139 joftheday.com NaN ... -12.838 \n", "25140 www.allthingsgomusic.com NaN ... -7.394 \n", "25141 www.idolator.com NaN ... -7.394 \n", "25142 earmilk.com NaN ... -7.394 \n", "25143 www.indieshuffle.com NaN ... -7.394 \n", "25144 pigeonsandplanes.com NaN ... -7.394 \n", "25145 nahright.com NaN ... -7.394 \n", "25146 earmilk.com NaN ... -3.758 \n", "25147 blahblahblahscience.com NaN ... -3.758 \n", "25148 www.indieshuffle.com NaN ... -3.758 \n", "25149 www.allthingsgomusic.com NaN ... -3.758 \n", "25150 www.frontstagemusic.co.uk NaN ... -26.826 \n", "25151 www.thefourohfive.com NaN ... -26.826 \n", "25152 blahblahblahscience.com NaN ... -26.826 \n", "25153 www.allthingsgomusic.com NaN ... -12.942 \n", "25154 soundinjections.gr NaN ... -8.202 \n", "25155 blahblahblahscience.com NaN ... -8.202 \n", "25156 www.indieshuffle.com NaN ... -6.498 \n", "25157 stoneyroads.com NaN ... -4.369 \n", "25158 pigeonsandplanes.com NaN ... -4.737 \n", "25159 www.indieshuffle.com NaN ... -5.900 \n", "\n", " mode speechiness acousticness instrumentalness liveness valence \\\n", "0 1.0 0.0323 0.000921 0.000000 0.0780 0.1780 \n", "1 1.0 0.0323 0.000921 0.000000 0.0780 0.1780 \n", "2 1.0 0.0323 0.000921 0.000000 0.0780 0.1780 \n", "3 1.0 0.0323 0.000921 0.000000 0.0780 0.1780 \n", "4 1.0 0.1020 0.190000 0.000034 0.0625 0.5820 \n", "5 1.0 0.1020 0.190000 0.000034 0.0625 0.5820 \n", "6 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "7 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "8 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "9 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "10 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "11 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "12 1.0 0.0446 0.442000 0.000002 0.0742 0.6090 \n", "13 1.0 0.0446 0.442000 0.000002 0.0742 0.6090 \n", "14 1.0 0.0446 0.442000 0.000002 0.0742 0.6090 \n", "15 0.0 0.0322 0.011800 0.688000 0.1230 0.1730 \n", "16 0.0 0.0322 0.011800 0.688000 0.1230 0.1730 \n", "17 1.0 0.0417 0.472000 0.523000 0.1110 0.2840 \n", "18 1.0 0.0445 0.762000 0.068900 0.1050 0.8910 \n", "19 1.0 0.0445 0.762000 0.068900 0.1050 0.8910 \n", "20 1.0 0.2350 0.119000 0.002270 0.0782 0.4420 \n", "21 1.0 0.2350 0.119000 0.002270 0.0782 0.4420 \n", "22 0.0 0.0380 0.251000 0.061800 0.2470 0.7120 \n", "23 0.0 0.0316 0.014400 0.300000 0.2280 0.5620 \n", "24 0.0 0.0316 0.015600 0.184000 0.1870 0.2050 \n", "25 0.0 0.0316 0.015600 0.184000 0.1870 0.2050 \n", "26 1.0 0.0276 0.072400 0.009450 0.1420 0.7730 \n", "27 1.0 0.0276 0.072400 0.009450 0.1420 0.7730 \n", "28 1.0 0.0276 0.072400 0.009450 0.1420 0.7730 \n", "29 1.0 0.0276 0.072400 0.009450 0.1420 0.7730 \n", "... ... ... ... ... ... ... \n", "25130 0.0 0.0674 0.006760 0.030300 0.1100 0.2730 \n", "25131 0.0 0.0674 0.006760 0.030300 0.1100 0.2730 \n", "25132 0.0 0.1590 0.370000 0.000000 0.1250 0.1760 \n", "25133 0.0 0.1590 0.370000 0.000000 0.1250 0.1760 \n", "25134 0.0 0.1590 0.370000 0.000000 0.1250 0.1760 \n", "25135 1.0 0.0917 0.001680 0.747000 0.1630 0.0925 \n", "25136 0.0 0.0674 0.105000 0.411000 0.2410 0.3850 \n", "25137 0.0 0.0344 0.878000 0.789000 0.2130 0.3600 \n", "25138 0.0 0.0344 0.878000 0.789000 0.2130 0.3600 \n", "25139 0.0 0.0344 0.878000 0.789000 0.2130 0.3600 \n", "25140 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25141 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25142 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25143 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25144 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25145 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25146 0.0 0.2080 0.332000 0.000010 0.3640 0.6510 \n", "25147 0.0 0.2080 0.332000 0.000010 0.3640 0.6510 \n", "25148 0.0 0.2080 0.332000 0.000010 0.3640 0.6510 \n", "25149 0.0 0.2080 0.332000 0.000010 0.3640 0.6510 \n", "25150 1.0 0.0580 0.996000 0.926000 0.1170 0.8560 \n", "25151 1.0 0.0580 0.996000 0.926000 0.1170 0.8560 \n", "25152 1.0 0.0580 0.996000 0.926000 0.1170 0.8560 \n", "25153 1.0 0.0320 0.047800 0.328000 0.0480 0.9630 \n", "25154 1.0 0.0520 0.727000 0.000621 0.0929 0.0616 \n", "25155 1.0 0.0520 0.727000 0.000621 0.0929 0.0616 \n", "25156 1.0 0.0478 0.280000 0.000000 0.0913 0.3920 \n", "25157 0.0 0.0363 0.002840 0.001970 0.1360 0.3910 \n", "25158 1.0 0.2290 0.029300 0.000000 0.0709 0.3880 \n", "25159 1.0 0.0436 0.005090 0.000000 0.0784 0.7510 \n", "\n", " tempo duration_ms time_signature \n", "0 144.458 199827.0 4.0 \n", "1 144.458 199827.0 4.0 \n", "2 144.458 199827.0 4.0 \n", "3 144.458 199827.0 4.0 \n", "4 87.974 223814.0 4.0 \n", "5 87.974 223814.0 4.0 \n", "6 120.046 225531.0 4.0 \n", "7 120.046 225531.0 4.0 \n", "8 120.046 225531.0 4.0 \n", "9 120.046 225531.0 4.0 \n", "10 120.046 225531.0 4.0 \n", "11 120.046 225531.0 4.0 \n", "12 102.988 217148.0 4.0 \n", "13 102.988 217148.0 4.0 \n", "14 102.988 217148.0 4.0 \n", "15 111.001 317250.0 4.0 \n", "16 111.001 317250.0 4.0 \n", "17 90.377 339293.0 4.0 \n", "18 100.042 375903.0 4.0 \n", "19 100.042 375903.0 4.0 \n", "20 109.079 241651.0 4.0 \n", "21 109.079 241651.0 4.0 \n", "22 117.016 247160.0 4.0 \n", "23 124.003 293142.0 4.0 \n", "24 120.001 238008.0 4.0 \n", "25 120.001 238008.0 4.0 \n", "26 108.980 214400.0 4.0 \n", "27 108.980 214400.0 4.0 \n", "28 108.980 214400.0 4.0 \n", "29 108.980 214400.0 4.0 \n", "... ... ... ... \n", "25130 124.023 269947.0 4.0 \n", "25131 124.023 269947.0 4.0 \n", "25132 123.966 272453.0 4.0 \n", "25133 123.966 272453.0 4.0 \n", "25134 123.966 272453.0 4.0 \n", "25135 128.007 356719.0 4.0 \n", "25136 134.138 260402.0 4.0 \n", "25137 90.967 241922.0 4.0 \n", "25138 90.967 241922.0 4.0 \n", "25139 90.967 241922.0 4.0 \n", "25140 138.046 217240.0 4.0 \n", "25141 138.046 217240.0 4.0 \n", "25142 138.046 217240.0 4.0 \n", "25143 138.046 217240.0 4.0 \n", "25144 138.046 217240.0 4.0 \n", "25145 138.046 217240.0 4.0 \n", "25146 107.926 278147.0 4.0 \n", "25147 107.926 278147.0 4.0 \n", "25148 107.926 278147.0 4.0 \n", "25149 107.926 278147.0 4.0 \n", "25150 78.980 123000.0 3.0 \n", "25151 78.980 123000.0 3.0 \n", "25152 78.980 123000.0 3.0 \n", "25153 131.573 395573.0 4.0 \n", "25154 99.939 352227.0 4.0 \n", "25155 99.939 352227.0 4.0 \n", "25156 123.056 286093.0 4.0 \n", "25157 128.048 166253.0 4.0 \n", "25158 142.037 305080.0 4.0 \n", "25159 103.912 162920.0 4.0 \n", "\n", "[25160 rows x 45 columns]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from quilt.data.iconix import deephypebot\n", "\n", "# put data in it\n", "deephypebot._set(['reviews_and_metadata_5yrs'], reviews_5yrs_df)\n", "deephypebot.reviews_and_metadata_5yrs()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "hidden": true }, "outputs": [], "source": [ "# revision2 - using https://github.com/iconix/openai/blob/0798aa240dd141cb3e66f54f5715dfc02caa3e22/datasets/reviews_and_metadata_5yrs.json\n", "quilt.build(pkg_name, deephypebot)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "hidden": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Launching a web browser...\n", "If that didn't work, please visit the following URL: https://pkg.quiltdata.com/login\n", "Failed to launch the browser: Command '['xdg-open', 'https://pkg.quiltdata.com/login']' returned non-zero exit status 3.\n", "\n", "Enter the code from the webpage: eyJjb2RlIjogImMwZGYxNzI5LWY4YzMtNDA0MS05YmNjLWEyZjkyZjZjNmU1NyIsICJpZCI6ICJkMzI3ZTdkYS1lZDFiLTRiMWMtYTFlMC1lM2ZkNzk4NDJlMzkifQ==\n", "Fetching upload URLs from the registry...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", " 0%| | 0.00/36.8M [00:00\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 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artistartist_idauthorcontentdate_publisheddekdescdirectiondomainerror...loudnessmodespeechinessacousticnessinstrumentalnesslivenessvalencetempoduration_mstime_signature
18871WILDES0ypTT9UqAU5sZpPo5JZmjRNone15 MAR 2016\\n\"Bare\" is a song by the London ba...2016-03-15T00:00:00.000ZNaN\\n\\n?\\n\\nltrglamglare.comNaN...-10.3850.00.02700.783000.0051400.08980.1450129.876242060.04.0
1688Kllo0RDC2Krd2nmqseGx5C8PQzNoneWhile Kllo may not be the most memorable nor r...2017-10-03T12:33:48.000ZNaN\\n\\n?\\n\\nltrdotsanddashes.co.ukNaN...-7.9811.00.05910.245000.5190000.09710.4280125.040224109.04.0
6912Super Duper5zFMLXUnqxwdgTpLCX9LDjNoneSong: Angela\\nArtist: Super Duper\\nNashvillian...2015-05-05T11:10:58.000ZNaN\\n\\n?\\n\\nltrwww.audio-aquarium.comNaN...-7.0811.00.02930.001730.2750000.37600.093188.984175281.04.0
4287VILDE41EzImgqZFKQDb60paN8ioWording by Matthew PNew music. It comes in great waves. When the t...2018-06-20T23:28:00.000ZNaN\\n\\nThe origin and idea for this song comes fr...ltrwww.sos-music.co.ukNaN...-4.7190.00.04330.244000.3440000.10000.5450169.998248824.04.0
9069Owen Rabbit7cYskT4KsnVPdwMdjNIUnjWording by Matthew PShowing an incredible diversity in his sound, ...2018-06-20T21:53:00.000ZNaN\\n\\n?\\n\\nltrwww.sos-music.co.ukNaN...-5.7781.00.14700.034000.0000170.69100.160070.018201560.04.0
\n", "

5 rows × 45 columns

\n", "" ], "text/plain": [ " artist artist_id author \\\n", "18871 WILDES 0ypTT9UqAU5sZpPo5JZmjR None \n", "1688 Kllo 0RDC2Krd2nmqseGx5C8PQz None \n", "6912 Super Duper 5zFMLXUnqxwdgTpLCX9LDj None \n", "4287 VILDE 41EzImgqZFKQDb60paN8io Wording by Matthew P \n", "9069 Owen Rabbit 7cYskT4KsnVPdwMdjNIUnj Wording by Matthew P \n", "\n", " content \\\n", "18871 15 MAR 2016\\n\"Bare\" is a song by the London ba... \n", "1688 While Kllo may not be the most memorable nor r... \n", "6912 Song: Angela\\nArtist: Super Duper\\nNashvillian... \n", "4287 New music. It comes in great waves. When the t... \n", "9069 Showing an incredible diversity in his sound, ... \n", "\n", " date_published dek \\\n", "18871 2016-03-15T00:00:00.000Z NaN \n", "1688 2017-10-03T12:33:48.000Z NaN \n", "6912 2015-05-05T11:10:58.000Z NaN \n", "4287 2018-06-20T23:28:00.000Z NaN \n", "9069 2018-06-20T21:53:00.000Z NaN \n", "\n", " desc direction \\\n", "18871 \\n\\n?\\n\\n ltr \n", "1688 \\n\\n?\\n\\n ltr \n", "6912 \\n\\n?\\n\\n ltr \n", "4287 \\n\\nThe origin and idea for this song comes fr... ltr \n", "9069 \\n\\n?\\n\\n ltr \n", "\n", " domain error ... loudness mode \\\n", "18871 glamglare.com NaN ... -10.385 0.0 \n", "1688 dotsanddashes.co.uk NaN ... -7.981 1.0 \n", "6912 www.audio-aquarium.com NaN ... -7.081 1.0 \n", "4287 www.sos-music.co.uk NaN ... -4.719 0.0 \n", "9069 www.sos-music.co.uk NaN ... -5.778 1.0 \n", "\n", " speechiness acousticness instrumentalness liveness valence tempo \\\n", "18871 0.0270 0.78300 0.005140 0.0898 0.1450 129.876 \n", "1688 0.0591 0.24500 0.519000 0.0971 0.4280 125.040 \n", "6912 0.0293 0.00173 0.275000 0.3760 0.0931 88.984 \n", "4287 0.0433 0.24400 0.344000 0.1000 0.5450 169.998 \n", "9069 0.1470 0.03400 0.000017 0.6910 0.1600 70.018 \n", "\n", " duration_ms time_signature \n", "18871 242060.0 4.0 \n", "1688 224109.0 4.0 \n", "6912 175281.0 4.0 \n", "4287 248824.0 4.0 \n", "9069 201560.0 4.0 \n", "\n", "[5 rows x 45 columns]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from quilt.data.iconix import deephypebot\n", "\n", "reviews_5yrs_df = deephypebot.reviews_and_metadata_5yrs()\n", "reviews_5yrs_df.sample(frac=1).head()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "(498,\n", " [('vapor soul', 4344),\n", " ('indie poptimism', 3886),\n", " ('pop', 3628),\n", " ('indietronica', 3462),\n", " ('electropop', 3406),\n", " ('indie r&b', 3242),\n", " ('tropical house', 2359),\n", " ('modern rock', 2171),\n", " ('indie psych-rock', 1942),\n", " ('indie pop', 1845),\n", " ('shimmer pop', 1827),\n", " ('edm', 1826),\n", " ('chillwave', 1705),\n", " ('indie electro-pop', 1451),\n", " ('rap', 1427),\n", " ('alternative dance', 1418),\n", " ('metropopolis', 1303),\n", " ('hip hop', 1212),\n", " ('pop rap', 1174),\n", " ('nu disco', 1086),\n", " ('dance pop', 1054),\n", " ('chamber pop', 996),\n", " ('aussietronica', 973),\n", " ('art pop', 973),\n", " ('vapor twitch', 915),\n", " ('new rave', 907),\n", " ('indie folk', 886),\n", " ('indie rock', 885),\n", " ('house', 867),\n", " ('vapor pop', 808),\n", " ('electro house', 752),\n", " ('indie anthem-folk', 649),\n", " ('gauze pop', 647),\n", " ('escape room', 641),\n", " ('post-teen pop', 606),\n", " ('folk-pop', 586),\n", " ('deep australian indie', 572),\n", " ('electronic trap', 570),\n", " ('southern hip hop', 544),\n", " ('trap music', 544),\n", " ('neo-psychedelic', 503),\n", " ('big room', 498),\n", " ('underground hip hop', 497),\n", " ('filter house', 474),\n", " ('dance-punk', 459),\n", " ('deep tropical house', 454),\n", " ('electronic', 448),\n", " ('brostep', 446),\n", " ('chamber psych', 409),\n", " ('stomp and holler', 408),\n", " ('deep house', 408),\n", " ('downtempo', 404),\n", " ('r&b', 401),\n", " ('australian dance', 386),\n", " ('freak folk', 384),\n", " ('tropical pop edm', 377),\n", " ('nu gaze', 372),\n", " ('bass trap', 368),\n", " ('progressive house', 359),\n", " ('neo soul', 340),\n", " ('brooklyn indie', 336),\n", " ('dream pop', 323),\n", " ('future garage', 321),\n", " ('conscious hip hop', 314),\n", " ('gangster rap', 307),\n", " ('preverb', 291),\n", " ('alternative hip hop', 284),\n", " ('swedish electropop', 273),\n", " ('microhouse', 269),\n", " ('modern alternative rock', 268),\n", " ('progressive electro house', 267),\n", " ('neo-synthpop', 264),\n", " ('deep groove house', 264),\n", " ('bass music', 256),\n", " ('urban contemporary', 253),\n", " ('trip hop', 239),\n", " ('norwegian pop', 232),\n", " ('ninja', 232),\n", " ('trap soul', 225),\n", " ('complextro', 221),\n", " ('shiver pop', 218),\n", " ('la indie', 212),\n", " ('garage rock', 207),\n", " ('alt-indie rock', 205),\n", " ('disco house', 205),\n", " ('noise pop', 203),\n", " ('australian alternative rock', 199),\n", " ('wonky', 189),\n", " ('catstep', 184),\n", " ('danish electro-pop', 184),\n", " ('indie garage rock', 181),\n", " ('funk', 176),\n", " ('garage psych', 172),\n", " ('lo-fi', 171),\n", " ('indie dream pop', 168),\n", " ('alternative rock', 165),\n", " ('dirty south rap', 162),\n", " ('chillstep', 161),\n", " ('swedish synthpop', 159),\n", " ('soul', 155),\n", " ('neo mellow', 153),\n", " ('intelligent dance music', 152),\n", " ('new americana', 142),\n", " ('nu jazz', 142),\n", " ('canadian pop', 142),\n", " ('moombahton', 141),\n", " ('float house', 139),\n", " ('etherpop', 138),\n", " ('minimal techno', 134),\n", " ('fluxwork', 128),\n", " ('swedish pop', 127),\n", " ('indie jazz', 124),\n", " ('swedish indie pop', 124),\n", " ('big beat', 117),\n", " ('french indietronica', 115),\n", " ('electroclash', 108),\n", " ('vaporwave', 107),\n", " ('australian pop', 101),\n", " ('hip pop', 98),\n", " ('future funk', 97),\n", " ('balearic', 97),\n", " ('alternative r&b', 96),\n", " ('compositional ambient', 95),\n", " ('permanent wave', 92),\n", " ('swedish soul', 91),\n", " ('shimmer psych', 90),\n", " ('hardcore hip hop', 90),\n", " ('minimal tech house', 89),\n", " ('french indie pop', 89),\n", " ('bay area indie', 88),\n", " ('rock', 86),\n", " ('turntablism', 85),\n", " ('pop rock', 79),\n", " ('east coast hip hop', 79),\n", " ('indie rockism', 79),\n", " ('noise rock', 78),\n", " ('deep big room', 77),\n", " ('danish pop', 77),\n", " ('detroit hip hop', 77),\n", " ('canadian hip hop', 74),\n", " ('indie punk', 73),\n", " ('canadian indie', 73),\n", " ('retro electro', 72),\n", " ('tech house', 72),\n", " ('outsider house', 71),\n", " ('tracestep', 71),\n", " ('lo-fi beats', 69),\n", " ('norwegian indie', 69),\n", " ('indian indie', 69),\n", " ('deep underground hip hop', 68),\n", " ('chillhop', 67),\n", " ('ambient', 67),\n", " ('deep disco house', 67),\n", " ('viral pop', 65),\n", " ('candy pop', 65),\n", " ('portland indie', 63),\n", " ('glitch hop', 63),\n", " ('indie pop rap', 63),\n", " ('post rock', 60),\n", " ('fourth world', 57),\n", " ('grave wave', 56),\n", " ('vancouver indie', 55),\n", " ('vocal house', 53),\n", " ('dark jazz', 52),\n", " ('uk funky', 52),\n", " ('slow core', 51),\n", " ('g funk', 51),\n", " ('indie quebecois', 50),\n", " ('swedish alternative rock', 50),\n", " ('filthstep', 50),\n", " ('progressive uplifting trance', 50),\n", " ('destroy techno', 48),\n", " ('shoegaze', 47),\n", " ('athens indie', 46),\n", " ('indie emo', 46),\n", " ('icelandic pop', 45),\n", " ('new weird america', 45),\n", " ('west coast rap', 45),\n", " ('indie psych-pop', 45),\n", " ('trance', 44),\n", " ('deep new americana', 43),\n", " ('singer-songwriter', 41),\n", " ('electrofox', 41),\n", " ('new wave', 40),\n", " ('deep euro house', 39),\n", " ('deep soul house', 39),\n", " ('substep', 39),\n", " ('neo-singer-songwriter', 39),\n", " ('strut', 39),\n", " ('belgian indie', 37),\n", " ('deep melodic euro house', 37),\n", " ('uk garage', 37),\n", " ('disco', 37),\n", " ('drone', 36),\n", " ('belgian pop', 35),\n", " ('grime', 35),\n", " ('bmore', 34),\n", " ('austindie', 34),\n", " ('drill', 34),\n", " ('vogue', 34),\n", " ('mandible', 33),\n", " ('deep funk', 32),\n", " ('vocal jazz', 32),\n", " ('mashup', 31),\n", " ('glitch', 30),\n", " ('edmonton indie', 30),\n", " ('afrobeat', 30),\n", " ('dutch indie', 30),\n", " ('progressive trance', 30),\n", " ('australian hip hop', 29),\n", " ('focus', 29),\n", " ('folk rock', 29),\n", " ('abstract hip hop', 28),\n", " ('acid jazz', 28),\n", " ('classic soul', 28),\n", " ('irish rock', 28),\n", " ('art rock', 27),\n", " ('icelandic indie', 27),\n", " ('danish alternative rock', 26),\n", " ('lilith', 26),\n", " ('german techno', 26),\n", " ('melancholia', 26),\n", " ('wave', 26),\n", " ('canadian folk', 24),\n", " ('trap queen', 24),\n", " ('canadian rock', 24),\n", " ('motown', 24),\n", " ('experimental rock', 23),\n", " ('chicago house', 23),\n", " ('ambeat', 23),\n", " ('dance rock', 22),\n", " ('christmas', 22),\n", " ('uplifting trance', 22),\n", " ('roots rock', 21),\n", " ('icelandic electronic', 21),\n", " ('stomp and whittle', 21),\n", " ('electro', 21),\n", " ('new wave pop', 21),\n", " ('german indie', 21),\n", " ('hip house', 21),\n", " ('drum and bass', 21),\n", " ('modern blues', 21),\n", " ('math pop', 20),\n", " ('deep trap', 20),\n", " ('israeli indie', 20),\n", " ('emo rap', 20),\n", " ('electro swing', 20),\n", " ('piano rock', 20),\n", " ('ambient idm', 19),\n", " ('norwegian jazz', 19),\n", " ('contemporary jazz', 19),\n", " ('psychedelic rock', 18),\n", " ('anti-folk', 18),\n", " ('acoustic pop', 18),\n", " ('german pop', 18),\n", " ('warm drone', 17),\n", " ('perth indie', 17),\n", " ('vapor trap', 17),\n", " ('drift', 17),\n", " ('lo-fi house', 17),\n", " ('punk blues', 17),\n", " ('soul flow', 17),\n", " ('lo star', 17),\n", " ('uk post-punk', 16),\n", " ('dubstep', 16),\n", " ('indie fuzzpop', 16),\n", " ('deep pop r&b', 16),\n", " ('swedish idol pop', 16),\n", " ('colombian indie', 15),\n", " ('twee pop', 15),\n", " ('movie tunes', 15),\n", " ('chicago indie', 15),\n", " ('madchester', 15),\n", " ('indiecoustica', 15),\n", " ('british indie rock', 14),\n", " ('footwork', 14),\n", " ('adult standards', 14),\n", " ('cabaret', 14),\n", " ('vancouver punk', 14),\n", " ('jazz blues', 14),\n", " ('french pop', 14),\n", " ('dreamo', 13),\n", " ('popgaze', 13),\n", " ('african rock', 13),\n", " ('south african hip hop', 13),\n", " ('dwn trap', 13),\n", " ('cello', 13),\n", " ('progressive bluegrass', 13),\n", " ('europop', 12),\n", " ('minimal', 12),\n", " ('latintronica', 12),\n", " ('erotica', 12),\n", " ('acid house', 12),\n", " ('pop punk', 12),\n", " ('northern soul', 12),\n", " ('quiet storm', 12),\n", " ('vegas indie', 12),\n", " ('electropowerpop', 12),\n", " ('fake', 12),\n", " ('post-punk', 11),\n", " ('bow pop', 11),\n", " ('crunk', 11),\n", " ('swing', 11),\n", " ('nordic house', 11),\n", " ('zapstep', 11),\n", " ('jam band', 11),\n", " ('new romantic', 11),\n", " ('emo', 10),\n", " ('jazz', 10),\n", " ('c86', 10),\n", " ('singaporean pop', 10),\n", " ('southern soul', 10),\n", " ('malaysian pop', 10),\n", " ('classical', 10),\n", " ('breakbeat', 10),\n", " ('reggae', 10),\n", " ('roots reggae', 10),\n", " ('hauntology', 9),\n", " ('modern hard rock', 9),\n", " ('teen pop', 8),\n", " ('pixie', 8),\n", " ('space rock', 8),\n", " ('canadian punk', 8),\n", " ('blues-rock', 8),\n", " ('colombian pop', 8),\n", " ('alternative country', 8),\n", " ('digital hardcore', 8),\n", " ('nintendocore', 8),\n", " ('witch house', 8),\n", " ('sheffield indie', 8),\n", " ('jazz funk', 7),\n", " ('lounge', 7),\n", " ('abstractro', 7),\n", " ('deep pop edm', 7),\n", " ('tribal house', 7),\n", " ('swedish indie rock', 7),\n", " ('toronto indie', 7),\n", " ('indie singer-songwriter', 7),\n", " ('drill and bass', 7),\n", " ('albuquerque indie', 7),\n", " ('concert band', 7),\n", " ('marching band', 7),\n", " ('wind ensemble', 7),\n", " ('danish indie pop', 6),\n", " ('folk punk', 6),\n", " ('stomp and flutter', 6),\n", " ('jazz rap', 6),\n", " ('bebop', 6),\n", " ('cool jazz', 6),\n", " ('ok indie', 6),\n", " ('norwegian hip hop', 6),\n", " ('boston rock', 6),\n", " ('britpop', 6),\n", " ('synthpop', 6),\n", " ('talent show', 6),\n", " ('covertrance', 6),\n", " ('classic icelandic pop', 6),\n", " ('denver indie', 6),\n", " ('liquid funk', 6),\n", " ('alternative emo', 5),\n", " ('no wave', 5),\n", " ('classic rock', 5),\n", " ('album rock', 5),\n", " ('contemporary post-bop', 5),\n", " ('jazz fusion', 5),\n", " ('jazz trumpet', 5),\n", " ('new orleans jazz', 5),\n", " ('pop quebecois', 5),\n", " ('underground rap', 5),\n", " ('minimal wave', 5),\n", " ('pop emo', 5),\n", " ('p funk', 5),\n", " ('new jack swing', 5),\n", " ('danish indie', 5),\n", " ('brazilian hip hop', 5),\n", " ('classical era', 5),\n", " ('leeds indie', 5),\n", " ('memphis soul', 5),\n", " ('seattle indie', 5),\n", " ('romantic era', 5),\n", " ('violin', 5),\n", " ('post-disco', 5),\n", " ('canadian indigenous', 4),\n", " ('belgian hip hop', 4),\n", " ('folk', 4),\n", " ('vienna indie', 4),\n", " ('punk', 4),\n", " ('swedish folk pop', 4),\n", " ('groove room', 4),\n", " ('detroit techno', 4),\n", " ('hardcore techno', 4),\n", " ('techno', 4),\n", " ('ethereal wave', 4),\n", " ('icelandic rock', 4),\n", " ('instrumental post rock', 4),\n", " ('chicano rap', 4),\n", " ('latin hip hop', 4),\n", " ('latin', 4),\n", " ('funky tech house', 4),\n", " ('bubblegum dance', 4),\n", " ('eurodance', 4),\n", " ('soul jazz', 4),\n", " ('indie deutschrap', 3),\n", " ('j-ambient', 3),\n", " ('experimental', 3),\n", " ('post-hardcore', 3),\n", " ('j-rap', 3),\n", " ('italian indie pop', 3),\n", " ('afropop', 3),\n", " ('world', 3),\n", " ('british folk', 3),\n", " ('big band', 3),\n", " ('easy listening', 3),\n", " ('boy band', 3),\n", " ('mellow gold', 3),\n", " ('soft rock', 3),\n", " ('garage pop', 3),\n", " ('australian garage punk', 3),\n", " ('skweee', 3),\n", " ('jump up', 3),\n", " ('jazz violin', 3),\n", " ('blues', 3),\n", " ('electric blues', 3),\n", " ('instrumental rock', 3),\n", " ('southern rock', 3),\n", " ('texas blues', 3),\n", " ('deep uplifting trance', 3),\n", " ('native american hip hop', 3),\n", " ('dutch house', 3),\n", " ('deep minimal techno', 3),\n", " ('french rock', 3),\n", " ('uk hip hop', 3),\n", " ('fingerstyle', 3),\n", " ('indie shoegaze', 3),\n", " ('nu age', 2),\n", " ('sound art', 2),\n", " ('chinese indie', 2),\n", " ('japanese city pop', 2),\n", " ('emo punk', 2),\n", " ('latin afrobeat', 2),\n", " ('bubble trance', 2),\n", " ('scottish rock', 2),\n", " ('dutch rock', 2),\n", " ('pop house', 2),\n", " ('traditional folk', 2),\n", " ('malaysian indie', 2),\n", " ('anthem worship', 2),\n", " ('christian uplift', 2),\n", " ('math rock', 2),\n", " ('stomp pop', 2),\n", " ('memphis hip hop', 2),\n", " ('pinoy hip hop', 2),\n", " ('fidget house', 2),\n", " ('west coast trap', 2),\n", " ('contemporary classical', 2),\n", " ('early modern classical', 2),\n", " ('classic polish pop', 2),\n", " ('melbourne bounce', 2),\n", " ('deep acoustic pop', 2),\n", " ('belly dance', 2),\n", " ('world fusion', 2),\n", " ('italian alternative', 1),\n", " ('gamecore', 1),\n", " ('slovak hip hop', 1),\n", " ('abstract beats', 1),\n", " ('trap latino', 1),\n", " ('abstract idm', 1),\n", " ('dub techno', 1),\n", " ('ecuadorian indie', 1),\n", " ('deep southern trap', 1),\n", " ('sky room', 1),\n", " ('australian indie', 1),\n", " ('classic soundtrack', 1),\n", " ('soundtrack', 1),\n", " ('deep chiptune', 1),\n", " ('danish hip hop', 1),\n", " ('chanson', 1),\n", " ('albanian hip hop', 1),\n", " ('alternative pop', 1),\n", " ('grunge', 1),\n", " ('stoner rock', 1),\n", " ('brass band', 1),\n", " ('channel pop', 1),\n", " ('power pop', 1),\n", " ('comic', 1),\n", " ('neoclassical', 1),\n", " ('progressive trance house', 1),\n", " ('irish hip hop', 1),\n", " ('gqom', 1),\n", " ('mande pop', 1),\n", " ('ska', 1),\n", " ('laboratorio', 1),\n", " ('gypsy jazz', 1),\n", " ('jazz guitar', 1),\n", " ('girl group', 1),\n", " ('belgian rock', 1),\n", " (\"children's music\", 1),\n", " ('kids dance party', 1)])" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from collections import Counter\n", "\n", "c1 = Counter([g for gg in reviews_5yrs_df.spotify_genres for g in gg])\n", "len(c1), c1.most_common()" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "Let's see how many songs don't belong to a genre with at least **90** samples..." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "(127,\n", " [('vapor soul', 4344),\n", " ('indie poptimism', 3886),\n", " ('pop', 3628),\n", " ('indietronica', 3462),\n", " ('electropop', 3406),\n", " ('indie r&b', 3242),\n", " ('tropical house', 2359),\n", " ('modern rock', 2171),\n", " ('indie psych-rock', 1942),\n", " ('indie pop', 1845),\n", " ('shimmer pop', 1827),\n", " ('edm', 1826),\n", " ('chillwave', 1705),\n", " ('indie electro-pop', 1451),\n", " ('rap', 1427),\n", " ('alternative dance', 1418),\n", " ('metropopolis', 1303),\n", " ('hip hop', 1212),\n", " ('pop rap', 1174),\n", " ('nu disco', 1086),\n", " ('dance pop', 1054),\n", " ('chamber pop', 996),\n", " ('aussietronica', 973),\n", " ('art pop', 973),\n", " ('vapor twitch', 915),\n", " ('new rave', 907),\n", " ('indie folk', 886),\n", " ('indie rock', 885),\n", " ('house', 867),\n", " ('vapor pop', 808),\n", " ('electro house', 752),\n", " ('indie anthem-folk', 649),\n", " ('gauze pop', 647),\n", " ('escape room', 641),\n", " ('post-teen pop', 606),\n", " ('folk-pop', 586),\n", " ('deep australian indie', 572),\n", " ('electronic trap', 570),\n", " ('southern hip hop', 544),\n", " ('trap music', 544),\n", " ('neo-psychedelic', 503),\n", " ('big room', 498),\n", " ('underground hip hop', 497),\n", " ('filter house', 474),\n", " ('dance-punk', 459),\n", " ('deep tropical house', 454),\n", " ('electronic', 448),\n", " ('brostep', 446),\n", " ('chamber psych', 409),\n", " ('stomp and holler', 408),\n", " ('deep house', 408),\n", " ('downtempo', 404),\n", " ('r&b', 401),\n", " ('australian dance', 386),\n", " ('freak folk', 384),\n", " ('tropical pop edm', 377),\n", " ('nu gaze', 372),\n", " ('bass trap', 368),\n", " ('progressive house', 359),\n", " ('neo soul', 340),\n", " ('brooklyn indie', 336),\n", " ('dream pop', 323),\n", " ('future garage', 321),\n", " ('conscious hip hop', 314),\n", " ('gangster rap', 307),\n", " ('preverb', 291),\n", " ('alternative hip hop', 284),\n", " ('swedish electropop', 273),\n", " ('microhouse', 269),\n", " ('modern alternative rock', 268),\n", " ('progressive electro house', 267),\n", " ('neo-synthpop', 264),\n", " ('deep groove house', 264),\n", " ('bass music', 256),\n", " ('urban contemporary', 253),\n", " ('trip hop', 239),\n", " ('norwegian pop', 232),\n", " ('ninja', 232),\n", " ('trap soul', 225),\n", " ('complextro', 221),\n", " ('shiver pop', 218),\n", " ('la indie', 212),\n", " ('garage rock', 207),\n", " ('alt-indie rock', 205),\n", " ('disco house', 205),\n", " ('noise pop', 203),\n", " ('australian alternative rock', 199),\n", " ('wonky', 189),\n", " ('catstep', 184),\n", " ('danish electro-pop', 184),\n", " ('indie garage rock', 181),\n", " ('funk', 176),\n", " ('garage psych', 172),\n", " ('lo-fi', 171),\n", " ('indie dream pop', 168),\n", " ('alternative rock', 165),\n", " ('dirty south rap', 162),\n", " ('chillstep', 161),\n", " ('swedish synthpop', 159),\n", " ('soul', 155),\n", " ('neo mellow', 153),\n", " ('intelligent dance music', 152),\n", " ('new americana', 142),\n", " ('nu jazz', 142),\n", " ('canadian pop', 142),\n", " ('moombahton', 141),\n", " ('float house', 139),\n", " ('etherpop', 138),\n", " ('minimal techno', 134),\n", " ('fluxwork', 128),\n", " ('swedish pop', 127),\n", " ('indie jazz', 124),\n", " ('swedish indie pop', 124),\n", " ('big beat', 117),\n", " ('french indietronica', 115),\n", " ('electroclash', 108),\n", " ('vaporwave', 107),\n", " ('australian pop', 101),\n", " ('hip pop', 98),\n", " ('future funk', 97),\n", " ('balearic', 97),\n", " ('alternative r&b', 96),\n", " ('compositional ambient', 95),\n", " ('permanent wave', 92),\n", " ('swedish soul', 91),\n", " ('shimmer psych', 90),\n", " ('hardcore hip hop', 90)])" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "freq_threshold = 90\n", "\n", "freq_genres = Counter({k:v for (k,v) in c1.items() if v >= freq_threshold})\n", "len(freq_genres), freq_genres.most_common()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "array(['deep new americana', 'folk-pop', 'indie pop', 'modern rock',\n", " 'new americana', 'stomp and holler'], dtype=object)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# scratchpad\n", "reviews_5yrs_df.spotify_genres[0]" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import numpy as np\n", "import pandas as pd\n", "\n", "# scratchpad\n", "pd.Series(reviews_5yrs_df.spotify_genres[0]).isin(np.array(list(freq_genres.keys()))).any()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "True 19313\n", "False 5847\n", "dtype: int64" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "genre_present = reviews_5yrs_df.apply(lambda x: pd.Series(x.spotify_genres).isin(np.array(list(freq_genres.keys()))).any(), axis=1)\n", "genre_present.value_counts()" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "So **5,847** reviews don't fit into the **127** most-frequent genres.\n", "\n", "Let's see if we can cluster these with less-specific genre tags." ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "## Add 1gram genre to genreless samples\n", "\n", "If the 1gram genre is a top genre already, we should also gather samples into that existing genre (e.g. 'minimal tech house' -> 'house').\n", "\n", "We'll accomplish this by adding the 1gram to the sample's genre list." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "15 []\n", "16 []\n", "22 []\n", "47 []\n", "48 []\n", "49 []\n", "50 []\n", "51 []\n", "52 []\n", "53 []\n", "64 []\n", "65 []\n", "68 []\n", "69 []\n", "70 []\n", "78 []\n", "79 []\n", "80 []\n", "81 []\n", "82 []\n", "83 []\n", "84 []\n", "85 []\n", "86 []\n", "89 []\n", "90 []\n", "91 []\n", "92 []\n", "93 []\n", "94 []\n", " ... \n", "24973 []\n", "24974 []\n", "24975 []\n", "24976 []\n", "24977 []\n", "24978 []\n", "24979 []\n", "24983 [roots reggae, roots, reggae]\n", "24987 [boston rock, rock, boston]\n", "24988 []\n", "25005 []\n", "25006 []\n", "25011 []\n", "25012 []\n", "25013 []\n", "25024 []\n", "25025 []\n", "25043 [roots reggae, roots, reggae]\n", "25044 [roots reggae, roots, reggae]\n", "25045 [roots reggae, roots, reggae]\n", "25046 [roots reggae, roots, reggae]\n", "25047 [roots reggae, roots, reggae]\n", "25054 []\n", "25060 []\n", "25061 []\n", "25071 []\n", "25150 [era, violin, romantic era, romantic, classical]\n", "25151 [era, violin, romantic era, romantic, classical]\n", "25152 [era, violin, romantic era, romantic, classical]\n", "25153 [post-disco, disco]\n", "Name: spotify_genres, Length: 5847, dtype: object" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def add1Grams(genres):\n", " return np.array(list(set(np.append(genres, [word for genre in genres for word in genre.split()]))))\n", "\n", "reviews_5yrs_df.loc[genre_present == False, 'spotify_genres'] = reviews_5yrs_df.loc[genre_present == False, 'spotify_genres'].apply(add1Grams)\n", "reviews_5yrs_df.loc[genre_present == False].spotify_genres" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "Recalculate `freq_genres` ..." ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "(130,\n", " [('vapor soul', 4344),\n", " ('indie poptimism', 3886),\n", " ('pop', 3799),\n", " ('indietronica', 3462),\n", " ('electropop', 3406),\n", " ('indie r&b', 3242),\n", " ('tropical house', 2359),\n", " ('modern rock', 2171),\n", " ('indie psych-rock', 1942),\n", " ('indie pop', 1845),\n", " ('shimmer pop', 1827),\n", " ('edm', 1826),\n", " ('chillwave', 1705),\n", " ('rap', 1452),\n", " ('indie electro-pop', 1451),\n", " ('alternative dance', 1418),\n", " ('metropopolis', 1303),\n", " ('hip hop', 1212),\n", " ('pop rap', 1174),\n", " ('nu disco', 1086),\n", " ('dance pop', 1054),\n", " ('chamber pop', 996),\n", " ('aussietronica', 973),\n", " ('art pop', 973),\n", " ('house', 917),\n", " ('vapor twitch', 915),\n", " ('new rave', 907),\n", " ('indie folk', 886),\n", " ('indie rock', 885),\n", " ('vapor pop', 808),\n", " ('electro house', 752),\n", " ('indie anthem-folk', 649),\n", " ('gauze pop', 647),\n", " ('escape room', 641),\n", " ('post-teen pop', 606),\n", " ('folk-pop', 586),\n", " ('deep australian indie', 572),\n", " ('electronic trap', 570),\n", " ('southern hip hop', 544),\n", " ('trap music', 544),\n", " ('neo-psychedelic', 503),\n", " ('big room', 498),\n", " ('underground hip hop', 497),\n", " ('filter house', 474),\n", " ('dance-punk', 459),\n", " ('deep tropical house', 454),\n", " ('electronic', 454),\n", " ('brostep', 446),\n", " ('chamber psych', 409),\n", " ('stomp and holler', 408),\n", " ('deep house', 408),\n", " ('downtempo', 404),\n", " ('r&b', 401),\n", " ('australian dance', 386),\n", " ('freak folk', 384),\n", " ('tropical pop edm', 377),\n", " ('nu gaze', 372),\n", " ('bass trap', 368),\n", " ('progressive house', 359),\n", " ('neo soul', 340),\n", " ('brooklyn indie', 336),\n", " ('dream pop', 323),\n", " ('future garage', 321),\n", " ('conscious hip hop', 314),\n", " ('gangster rap', 307),\n", " ('preverb', 291),\n", " ('alternative hip hop', 284),\n", " ('swedish electropop', 273),\n", " ('microhouse', 269),\n", " ('modern alternative rock', 268),\n", " ('progressive electro house', 267),\n", " ('indie', 264),\n", " ('neo-synthpop', 264),\n", " ('deep groove house', 264),\n", " ('bass music', 256),\n", " ('urban contemporary', 253),\n", " ('trip hop', 239),\n", " ('norwegian pop', 232),\n", " ('ninja', 232),\n", " ('trap soul', 225),\n", " ('complextro', 221),\n", " ('shiver pop', 218),\n", " ('la indie', 212),\n", " ('garage rock', 207),\n", " ('alt-indie rock', 205),\n", " ('disco house', 205),\n", " ('noise pop', 203),\n", " ('australian alternative rock', 199),\n", " ('lo-fi', 192),\n", " ('wonky', 189),\n", " ('catstep', 184),\n", " ('danish electro-pop', 184),\n", " ('indie garage rock', 181),\n", " ('funk', 177),\n", " ('garage psych', 172),\n", " ('indie dream pop', 168),\n", " ('alternative rock', 165),\n", " ('dirty south rap', 162),\n", " ('chillstep', 161),\n", " ('swedish synthpop', 159),\n", " ('soul', 159),\n", " ('neo mellow', 153),\n", " ('intelligent dance music', 152),\n", " ('new americana', 142),\n", " ('nu jazz', 142),\n", " ('canadian pop', 142),\n", " ('moombahton', 141),\n", " ('float house', 139),\n", " ('etherpop', 138),\n", " ('minimal techno', 134),\n", " ('fluxwork', 128),\n", " ('swedish pop', 127),\n", " ('indie jazz', 124),\n", " ('swedish indie pop', 124),\n", " ('rock', 123),\n", " ('big beat', 117),\n", " ('french indietronica', 115),\n", " ('electroclash', 108),\n", " ('vaporwave', 107),\n", " ('australian pop', 101),\n", " ('hip pop', 98),\n", " ('future funk', 97),\n", " ('balearic', 97),\n", " ('trance', 96),\n", " ('alternative r&b', 96),\n", " ('compositional ambient', 95),\n", " ('permanent wave', 92),\n", " ('swedish soul', 91),\n", " ('shimmer psych', 90),\n", " ('hardcore hip hop', 90)])" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "c1 = Counter([g for gg in reviews_5yrs_df.spotify_genres for g in gg])\n", "freq_genres = Counter({k:v for (k,v) in c1.items() if v >= freq_threshold})\n", "len(freq_genres), freq_genres.most_common()" ] }, { "attachments": { "image.png": { "image/png": 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q2O+Sxt2sOVssSvNlrXA51bi7XCUbT+n498uVvDtPN4/rVPu5szr2YoXe+k2jO0Ajae4MTdR+vbWn03lXvI3Xjc/8k8a7U45ccbBtx8WDB/TL1fVSfIISjVijIK+EuXfqztqfqXT3Ke1/8phu2HazkgZGIpMgI2I3AggggAACCCCAAAIIRFPg6mhWRl0IIIAAAggggAACCCCAAAIIIIBA3wqM17zv5mli1kI9/dRCWdxBGkaPhivxprv1nfwsuUMCHNX6z4OdU270bc8HXOsnj+utbc3GehTKeipTKeE+hE5KUMqAG/QA7nBSvPpzeIZP1vVOjSqNIA2NkuVf/II0jBPiTEr5xp26c55xs53VW7tsV2TLaNxTrgojSCMpVTk/ydf81RM1KkRAha9dd/UJJpmSQvwkOHRqV727yKhHb1ZqyMwkcUpbnKt04wvnSIXeetVYu4UXAggggAACCCCAAAIIIOARIKMGdwICCCCAAAIIIIAAAggggAACCAwugdS79d3FgYc0PGuqMlStakkfnDSW3Zgc+ET2diHgkm3XWzprPDufnaMpt4QbpSEpPs4TNKMUJXTzQXpbp+yNqv9ptd7eY1VzsxQ3cpTM38zRtAWpRrXBX+fO6vivalRbekqN54xggDjFT0iT+e9vVtbXA5d17ClV0ZpT0vQZyt880dtn/yYcOr60SPsPSmmr8zVnbpDsIL62959W40nPkh6SSUmTEhU/LlNfXpMeMpDCcahGb+04rlOHmmWUjhuZorQ5mcq6P10p3YnAMI1oy3iSkBIilYz/0Ppgu/GtY7Ib7WZnKK1ztgx3f+KUNudmxe2ukevl4zq1OFVmv/GnzM3RxLOXNGnpxO65hDFGV9UxvXXEuHfTlTm7GzdtkllffHSU6jee1altNTo7Z5pGhQzuCKMznIoAAggggAACCCCAAAIDWoBAjQF9+eg8AggggAACCCCAAAIIIIAAAghELNDaGnHRIV+w2apjLxuBDgn64gKzInr2PHKi5lRNDJvSZavX6wvLZTWSeXhfrnNnVb/5d7K+k6v7fpQeIJhCsu95Xb9eY3UHOfjKSS45Tlh17Fmrjm01a8ZP79TEse1Ho7Vl3/u6fr26c9tG7U411za6fxzBAjVcdh1/8tfaX+YOz1D8hBQlDrukltpGWXeUy7q7Rlmb85Rza6gIFaOtUZpW9ZCmRWtQvVKPQ+drvWuPTLo+eODK2BSNkXRKVjWelMy3+HVmZLpmPOn3Pmqbdh3fesydwSNhYabM3YjTMJpOmn2zzBvPymqr0bH9X9SoWRF9WqI2CipCAAEEEEAAAQQQQACB/iFAoEb/uA70AgEEEEAAAQQQQAABBBBAAAEEYiHwaXtwRsoNN8SixUHZhmN/vazGyFInamxGLId4TK990yWXUpT5ozuVY0lQnJxq3F2uko2n5Nr/B9W8k65pt3bsk7OsXMVrrHIpTqMeuFNf/maakowH7S6X7FU1+sOTlbI1W7X/0beU+KtpSg2SFKNjrd1813BM5e4gDaPtu5S7YJQSErxBFS6XnE12nT9+KUhQgkunNhZrf5lLGnez5mzxWwrE5dCpH/1OpS83qnrpH5SyJ7fbwQPd7HkfnDZMI3zZMc463EE1AcMakhNkXL5TcqmpwSHdEs0LFnjYLiOjiZFNQ2blzAtj0Z6kNKXPlqz7pPqqD/XlWWltmU0Ct8ReBBBAAAEEEEAAAQQQGAoCVw+FQTJGBBBAAAEEEEAAAQQQQAABBBBAwBBoPXzIveyJlKKsrNEhUaq3PqyHH/b+LH1cj//w37T7zQ/U0h7rEbL84D3oUmOtsWyMpDtGKaWrRA5RhTCCNEYpZ2ueps1IUJzRdpxJKd+YpmmTjIZcslY3dmzReVZvb653Z0JIWvg1fW2xN0jDOCsuTglTs/S1HTOUZry31ahyr3vhjY519OCd40iDe4kY6WZNW5zaHqThbd80MkmjZqQEzAKi2hpV7DYyTIyS5V/8gjTcZeOV9thXZDGySTjq9dbuTuPuQZ/7rqhJ12d6gyDetOlDRzd6cqkb5/T4lMiyaXiaNSklO9WzufesBsNV6jEnFSCAAAIIIIAAAggggIAI1OAmQAABBBBAAAEEEEAAAQQQQACBoSHgqNb2XUc9Y02/U18JZ4mLiy1q+fNRvV60Xo9/d5322oYGWeBR2mWv9RxJS+/m+g+BK4pgb5IyN39NWZM6R4ckKSXbU53d7l06w1u7q6peNe7rZdYXF44KnM0g9UZlfsNT59k9p+S3qkoEfexYZJjJlxOiWY0NHY+FfueS7dW35Q4bmZelieMCnB2XpLS5niAA+/6zUe13gNZisitp5iRP0IzjmN76l3o1Gyu++L1ctrM69kyFjvnt6+3N9mwao5T59SD3UIhOJJi9wSeOJp0/F+JEDiGAAAIIIIAAAggggMCQEWDpkyFzqRkoAggggAACCCCAAAIIIIAAAkNY4NMz2vujrar+SNLV43XfA3coMSBHlha/8EKnI61ynGtQddkuveLOqNGgkn/drrQfLtLkEZ1OHRJvL7YFaiRFdY2Q7uClyXxr5yCN0OXO13mzf0wfq9SgcSVxSskySy/XS7V2OVxSUnjNBO2EaXq6bo6v1zHHKVUsKFLDvGxlff1GjRrbVQPndfZNT9BJ2qSUwAEmkjxBADaptlktTinJFxcStEf9/MDIibKsadCHq61q3lOu4j1/UPyE6xU/TLpka1RzNKNoukXh0J92HnNnZIn7Ro4mhhPg5as/NckdfHJKp2U/K2mk7wC/EUAAAQQQQAABBBBAYKgKEKgxVK8840YAAQQQQAABBBBAAAEEEEBgqAh82qLD2zaoxMhmcHWivvTQP+uO68MZ/HDFjxwvy7eeUNaNW/Xktmo5PjqsVw/eq8kzA4d7hFP7gD53AMwsuezepUzSrw+8vIj3AphS4r1bzWppklKj9TA9Pk2Wnblyfbdcx086dGrHfvePkpJknpupzHk3alRqoKANly56M7ec3lqq/9gd5E5xtHgP2OUwghii1e8gzcVid8Ldd+qfsm2q+V9v6/hBm5pPNMqhOMVPSFX6vHTdPDde1rmlqpHU28FCrndqVH3QGPUoTbs3NWjATPdcXHJ1TPjSvWKchQACCCCAAAIIIIAAAoNOYAD8c3rQmTMgBBBAAAEEEEAAAQQQQAABBBCIlYA7SOMpbf+jQ1K8sh76gRZl+R7Ih9+J+Jw7lPVStSoc0gd/el+amRV+JYOohMtIPdHDR9eDiCP4UMama8bLacqs+JOO/faY/vRGs5zNzbLu2C/rjgqlfOtOzVmWpvhA8RqSXOca1djlkhkmjfhM8C4MuCMjU5W5JlWZgTreVK9q9/5UJXlWfgl0VhT2OfSnwhrP8jOzbtaNgZafCauVBI2I/OsnrJY4GQEEEEAAAQQQQAABBPq3AIEa/fv60DsEEEAAAQQQQAABBBBAAAEEEIhU4NNGVTz/jHbUOLyZNHoWpOHpxnW67rOSjLiPIfuK0wjj4bhNOn/WgEgYGBL15+XQqKBZNZyNvouapOt7IytFnElJM26WxfhxOdVc9Scd21qpY0ecanypVK+n3ae8eYEt01bna85cnvD7bjRnlVXuBW0mmXVDLwZqtGfTSFDOwnRFvKrMWbtOuzt/vRKSfaPgNwIIIIAAAggggAACCAxlgauH8uAZOwIIIIAAAggggAACCCCAAAIIDFKBXgnSkHT+qI54MxuMv/ELofFaG1X96i+1/dcVavCtThG6xAA5mqikWzxdtdWdV39fyeH6Semezh5sUqMzGLFLjdVWz8HZoxRwZZyTHweOz7Gd0sl3gtUbZL8RtDH1Zlm2fUt3zvWcc3b/6U71JyhlhufY6ZPe5VuCVBeT3S6XnM3Ovl+6w3FWb7/ouVaj5qYpqdcG75T1V95sGtOzlDEp8oYcDU2ez0l8cliBGq5mp5xB79nI+0NJBBBAAAEEEEAAAQQQ6HsBAjX6/hrQAwQQQAABBBBAAAEEEEAAAQQQiKZAhyCNFFkejUYmDaODDlXv2qsGY/PqybptamKIXp/R3vVPauue3+vwf+7Quh9s19GLIU4fUIdMGjU1zdPjvTY19vNIDVN2mszu3h5T9W+aA0ufPK7Klz3LuNw8N61D5oT4VG8ogK1RzZ2LO87qraX7dcqXjCNw7cH3xpmUMDZwFg1jqZ602Z6eu3ZX67gteDW9fqT5lCq+sV0/m/Uz/ezblXInUun1RgM04GjWsZW/U81JSeOyNG1uMLsAZcPdVXtMlWVGoTjdvODGoJlYuq7WpcYad/4P6e5RSum6gCSnTj1brO2G96z/UOU7/fxD1q0xcRICCCCAAAIIIIAAAgj4CxCo4a/BNgIIIIAAAggggAACCCCAAAIIDGwB/yANpehLBd/RPWmX1NLSEvjH0dr1eFsdavygQjueWqGtfzSeyMcr66FFsoRaieLDah12R3R4q//osA7Udt3UQDkjPmusRhmddRxTfVU/f4iclK6sRz3BFmc3/lolW22y+wIrXC7ZD1WqZGGFzhqP5Gd8WVlT4zpehoxR8uTksKpyY72avRkOnLXHtX9hiWpOxikuxL1gf6NGx/c3yt45G4XT6W674qeebBmjZoy5IhjANDNTWeMM51Pa/80SVe5vlsPXd7e/U/baeh17tlTVRzp2O5rvXLUNOmYER0hynahW+cuN0aw+dF1GJo+GRtXvKFfJ3GJV7HdJ8WmasTlHowKtKhWyLgAAIABJREFUReLN/GFk//D9XGwLknLpot9+Z3Owe9ep+h2Vcl+ZW6Yps/M9EbrHHY82W1W329gVp5tnjlGnu6vjub53zg/VsNsbFeRoVPXqGsVQ3NcLfiOAAAIIIIAAAggggEAvCgzrxbqpGgEEEEAAAQQQQAABBBBAAAEEEIitwLnDer3G9yS7UYe3Pa3DoXrwN4v1wkNZ7Wd8uFdPP1WiM+17Om4NH607HnpM92WGeDJvlLg+RclXS2c+9RVPUUr3/pTeV6B//x57o26eVaGzZS4d+41VOVPTO2Sh6G+dT1l4l+5seE2v72nW2W2/0y+3XdlD0yyL7lmdfkWwhBLMynw0SfU/aZZ9X7mK95X7FTbJ/P17lGErVukOv91+m44jb2l/kGO+05Lm3qncrwfIDmEapZzNd+rjpa/r+Mmzqn6sWNW+Qh1+xynrqx12RPVNXPoopcUfa8scYq9ulOP+lCutotTq2c3/rpIgZqapOfrKmiylJgdp7EilfvZATZCDx1Q665jfsUzlVU3zBB357ZV/No0HJyrAlfE/O+S2veyY3Au1pH5RGdndCtOQTCkaNSNOx4ygFONlO6vGc1LKyJBNcRABBBBAAAEEEEAAAQQGkACBGgPoYtFVBBBAAAEEEEAAAQQQQAABBBDoA4Hh8UpMHa+pt39VX5k2XonDu9GHEV/Sokff14Z//73OfJqoyf/wHc0b241yA+YUk9ILcvR2WaWayyr1dpVZ07r7ELovxhiXIPPq+cqfe1w1O2tVf6jRk5kiPl4pU83KmJepidkJigvyHD3l/7B3P0BR3ffe+N+NcZ3u06V2YDSuYx7WerPWqxvpBc24eXyEkoKmBXOr2AqhI9oEMQXi/CT5XcU0gpmI/SVIGiQtkPkh2gbpE5d7VawEMtZlqksuZvVa16dxafi5SRx2YtnM9nEp+ptzzi77h91lF9jl35sZy/nzPd/zPa9z1sbP+eznu+1HyFIaYPjNDZh7hJIaMsxNXorv/uy7WPKYDF/UCAf6r84gX5GAf07uxRe37fjypn2o1ax5cZifuAhL/vWfsXRlkMQfpQpr38uB+vR/4b/O9cJy1Tl2YQzLFmJhhgrqNSrEKSMIO28JUvZ/imMv/2Vo/BE8m3fXc+ciTvktzB+6zgA3yfuoMax5VNOI/y7UY6mmYf8UxiqxVguWFP4z4kIeuhxL9qfg04zz+Isr72wMV8RDKUABClCAAhSgAAUoQIHJJ/C1Bw8ePJh8w4r+iA4dOiSeNDU1Nfon5xkpQAEKUIACFKAABShAAQpQgALTWKCtrU28updeemnyX+X9Adj/DyCXh5KNEZ3LWfiOMPcF8Mrz/xadE4Z8lkFY3mjCf5ywAfEaZDY8gflB8g1C7pYNJ6fAnRto3XABnwqj2/oDPLc7kpkhk5MgvFF5fD7WrMVP3lwKRciJGsKZ7LhR2IgLncKyBj+49ASUYR0f3mjZmgIUoAAFKEABClCAAjNZ4NV3XhMv/6/b/4KHH45OrYuHZjI4r50CFKAABShAAQpQgAIUoAAFKEABCngJPDR7UiVpeI1t0q3MgjI/BRohj6THiPYaS/SrLUw6k2k8oL6/40vx8mbhn7Xzp/GFjs+l2VrO46yQxCR/FGtfDjdJQyjQYsffe6SxzNryKOYzSWN8bgx7oQAFKEABClCAAhSgwCQRYKLGJLkRHAYFKEABClCAAhSgAAUoQAEKUIACFJhyAvL5eKJqLR6VA7YTZ6Gr+YLJGlPuJo48YMfNG7iw3wAbgFlr/ycSxjIdyMinm/ItBq/8CWcPfIpBzIWm6iksDbf4iK0PNw62w2CBmOjxP3+qBPM0pvxjwQugAAUoQAEKUIACFKCAl0B06nZ4nZIrFKAABShAAQpQgAIUoAAFKEABClCAAtNGQLkUT1Xdxe93GNFX+x/QL3sWa9fKps3lzdwLscN8sBXd+i/Rd2dQZJClarFx/xJwhpsgT0XvDZwtNOIuZuHR/evxxMrQUyzsbRfQWv8pvrxplxKe5qqgfScFS+YFOR93UYACFKAABShAAQpQgAJTUoCJGlPytnHQFKAABShAAQpQgAIUoAAFKEABClBg8gjMWvkEflQ7C+dPxyFByySNyXNnxjaSe1/0oc8xF3HJj2JZtgZLVzJFY0TRRf+EJ3dZ8J+KJKRsUIzY3KuB3Y6+m//A3GUqPLpJA83T8yEPPc/DqyuuUIACFKAABShAAQpQgAKTW4CJGpP7/nB0FKAABShAAQpQgAIUoAAFKEABClBgSgjMWpmE9JVTYqgcZEgCciyteg5LQ2rLRm6BWZi7JQUp7g0hL8kz0vFcRsjN2ZACFKAABShAAQpQgAIUmMICD03hsXPoFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQYEoJMFFjSt0uDpYCFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAgakswKlPfO5eW1ubzxauUoACFKAABShAAQpQgAIUoAAFKECBiRd49Z3XJn4QHAEFKEABClCAAhSgAAUoQAEKUIACYxZgRY0xE7IDClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoEJrA1x48ePAgtKZsRQEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABaaXwD/+8Q/xgh5+ODqTkrCixvR6fng1FKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpMYgFW1JjEN4dDowAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClBgegmwosb0up+8GgpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFJrEAEzUm8c3h0ChAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUmF4CTNSYXveTV0MBClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgwCQWYKLGJL45vkNzXK9H0d5WWAZ993CdAmMTsPXo0VTTiNabtrF1xKMp4CswaIOhaicqu/hs+dJwnQIUoAAFKEABClCAAtNJgDGL6XQ3J9e1MGYxue7HtBoNYxbT6nbyYihAAQpQgAIUoMBUE2CixhS5Y0LAIz+/GvpzB1DZZg1p1NaWIiQmJop/dr5vCekYNpqBAr1NKNpUhIraSuzbmofGTyargRW6Qul5LmoJ7TMQ7Er4+QimM377bPpKFDUY0Jifh8orjvHrmD1RgAIUoAAFKEABClCAApNGgDGLSXMrpt9AGLMAY3qRe6wZs4icLXumAAUoQAEKUIACFBhZ4OGRm4zQ4n4/evWncaLtMno/t2NAaD4nBouWJ2PjjzZgeWyg47tR83wNugPtdm3/l3y881yCa21m/rbosCe/Gka7DNr9zahIC4jq7eNxd2Wz5njv49rkEbhrRFN9Ezo6F2Nncx400R7Z3T7cGDqnGX0hFz6wwdhch6YOPRb/7CTyVg51MjUWptrnY9AKw/t1OPm/PsDFm1YIKQ+K+CRoM/LwYnYSYmeFwD5og6mtDpWHG2G4CyC3Hl2FwZ44IyoT89A4UtdB+lGsLUXz/j5sOqBH445soPY4ilfKRuqR+ylAAQpQgAIUoAAFKDA+AqOOWfic/t5n6G77EBc//k98+nk/+u+59icg/518zOioBWMWrodhev5mzGJi7itjFoxZTMyTx7NSgAIUoAAFKEABCkRRYEwVNQZ6z+PNl/agvPFD3HIlaQiDv9eP3o90eGvfHtR126N4OdPwVA4jqgvLoLcDqtwaHM5QhnyRsUqVu63HP/DcG7k0KQR62lFxohWGnv6JGc6yjSh/Rg0ZZFA/U4GsFaEOw4z21xvResmMCRp5qAP1224qfT4cnzShJC0NO19vQvtNBxYuU0P9WCzu9RjQWrUTaVvK0D5C0RzrpXoU/TAN2XudSRp+VSKzUZlxGDW5wt9HZjTur4aB/7cQGWj2SgEKUIACFKAABSjgJTA+MQs7bp1+E3uKf4Galg9x7a+eSRpep5uZK4xZTP/7zpjFhNxjxiyix86YRfSseSYKUIACFKAABShAAW+BMby+vwVdVTNu9AOzH9HiJz/diFWLYzAbA+j/83nU1epw46t+XG5owHeX5SMhSEGHhPx3kD+jv37ifVPcaw4Y68tQ3wMgvgDluzQY7ffQVcoQq3C4T86lmSIwS4mUvcfRuXemXPDw65zUn487rdizrUJK1tpyBDW7te7qGTYTml7ZhooLOpTsVeNkbRZUPpU1rFeaUF1RCd1NoQaHCpn7M4EDldANZwi6Jae2C8Wjrpoig2ZXBUq6N6PiaiOKqpLw4cvaUf99FnSg3EkBClCAAhSgAAUoQAFRYDxiFnZ0/3ovaj4SMo1nI2b5Omx+eh2WL4yDPEiMY+bcAMYsZs69nsArZcwCjFmM/PwxZjGyEVtQgAIUoAAFKEABCkw+gTFU1FiMTS9mYmlCLn7xSi60YpKGcIGzEfOdDXghJwFyYdXejT90TsXv20+Cm9VzCpW1ZvHlat4rOVD7vIAdcYRzlVCP2IgNKDBDBabE58MB4++qxSQNrChBhWeShnDbFGpklR9GlvCX7dVKnOwSkjE8fgZN0O2vEJM0FKsLcPTMSZRmaKDwaBK1xVkqZP3fBRDqajiaD6H6is9YozYQnogCFKAABShAAQpQYGYIjD1m0d/xlpSk8dAiPLX7NRz++SasWswkjaHnhzGLIQouUGDcBRizGHfSoB0yZhGUhzspQAEKUIACFKAABSIjMIaKGgCUG/Bivv+BzU5YDTW60Q3gVs+nAJb7b8itAQQcMJyshBGALG0nnl0xiloa8jmIA2CCGsq5AU4jvDS9VIF1u5rggBIFDS3IWxaorRlNuZtRcR2QbTmKD/ckeX0j3mE1w9Chw9kOA0wmE8x3hX5kiH3scSSl52D7M1qo/LwhtrYUIe2A3j335B0DGn9VD12nQexDNk+DlLxivPSMBoogySq2Hj109Y1DxwEKqFZrkZzxLJ5NVQc41ojKxDw0AnBl39tutqLuN8dw9pIJVrsw/iexpegl5K0ep6okd3Qo2lAG/TDmRuQlCiMZ/uMaG2zt2JdcglYkobTlKDJHmgln6FxalJ45gsx5zr6vVCJxh79z+bTzGooVusI0lHV6bRRXGnckiobD9uTWo6tQM2yza4P1ig7HjjdB3+18XuSxUK9Iwvot25GpVQW4Z66jAeulRrz5m2Nov2KFQ7jfyZnYnl+A9G+H8HkJ8fPhPttELN3AxWZpTpOkjCeHVcsQRyTXIn2TDE0NDjS1XMTO1SnuRIxZamTmZ+L2P7JQ/HSgz0AUr+uxHBRvqkVRswWN9WfxbFUmxulTFcWL4KkoQAEKUIACFKAABaaMwFhiFvev4VTLLfFSlz+7G5vU4ldRpsylR36gjFkwZuF+yhizcFt4LjFmAYAxC89HgssUoAAFKEABClCAAhTwEhhbooZXV0FWBgaC7OQuvwJ323HyPeEb50rsyPZ48eq3cYCN8zJxpCszwE73ZllCMjbKm9Bkt+BUpwl5ywLU4bjZgcbrwnFK7HjaO0kDMKI6TUp4cPcsLDlgvWlAq/CnIQXlDRVID5Rc8I97sLSVoehlHYQ6Iq4fxx0jWl/Pg76rHM2vpw9/sTtog+E3+SiqNcH7O/o2mC+1in8a/988HHmnAEl+EkVc58E/rNC/UYg9Jzz7EcbfjupdF/Hx/mYcyQg0+KFeIrugiINSiA/aDTDfEW9F8PN9cRsGsYUKKleSRvAjorPXbkLjnnxUXrJ5n89uhelSq/inL+hUG/0w1hQi3+ue22DuaMS+Dj1uvXscBSMlN4X4+fAeYJTX7phhEqosA1CrAj97C5ckAULqzx9vwIwUeKbGxG4oRWmUhx34dDJoM3ZA2VwNS2cddDczkfdY4NbcQwEKUIACFKAABShAgagI+IlZDFzukCrbybVIfoJJGsPuA2MWQySMWQxRAIxZODEYs/B4KsCYhacGlylAAQpQgAIUoAAFKOAWiFyixn13ckbcI4+4z8ilkASsF86iXWip3AhtgLyJkDoKpZEsCZm5SjTVWGBp0MGQW4IkPwUJTBdOQfxuf4AxxaxMR/HmLGgTVFgYq4BMqH4x6IBFX4mi3U0w323Hgdp2aPcHSDw5VYRNJxxwyDXIO1yOHYlKyGCDqXkfth3Ww9Z2AHWdKShZ4z04U0MedjqniMl8uRTbMzRQCk0cVphaq3HglzqYbtZj596FaHkzE8oAVTn0r+ejsccMYYqIIy/nIGmRDHCY0fpqEfads0D/y0YY0v3bhMI81MY3QWCoukUO6ruKvV6yDx0ztLAQC1cC6ATMn1qBlcHrEThsX0nJK4kqsbrKUDcri9HVVTy0iqExuDcNX4pFZlUX3Kk/w6uRDD/Gz5ZBC3T7tqHykpBWo4J4zzZopASUQQds1tswttbBHOA+CT0afpkNvd0BRWoJ3t2zEepYGXBHj4qCIjT1mFH/m7PYMh2qNXxdMVQdo69PSGrxn2kUqxQmFNEDdhMsVkAT/LHwc1OiuGmZFhuV1ai2WPBBtxl5jwlj5w8FKEABClCAAhSgAAWiLDBCzML052vSgNRLsXwMk8ZG+aqidjrGLBiz8P+wMWYhuDBm4f10MGbh7cE1ClCAAhSgAAUoQAEKuAQiFm4YuHxJnPYEiENCwgLX+fz+7q55Hs8/7/xTuAd7XnsLzX+8hX53roff46bvRgduXHdOjLFuBdRBXliPl4F67UaI39e3n0JHt3ddCvEcgyboW6QpGDS56X7GpEFebTly0jRQzXMmaQgHzpJBubYEFXuk7/g7Wrpg9NO9eA67A474TFT8rh4Fq5VSoscsBdRbyrE/VWghTO3QDq8aDHd0qH5bqL8hg3b/EZRuciZpCM1lsVBnlOLdN3Kka+s8hMauQCcHzD23od5xFC1VeVKShtiHCuk/y4GYK2M/BYNJHOkE/k8sVEuk05utfe5xDBpRuTYRiWsrYRx0b7b13ZZW4uO8EzXcTaK+ZD19CGUXpCSNnNrj0j1zfUFtlgyKeSpoc8uRsyLw0Bx2B1QZFTh+MEtK0hCaztOieHeWdFCnAR97PSiB+5rUexQqaJxTEbV3GX0qxvgf+T2P+++/xei2CtPbJCZKf9ZsyEb2ngo0XTDDFvb51FixThqDSZheaHTD4VEUoAAFKEABClCAAhQYk0DwmEUfPnX+U2rBIzG49cdmvPXaHrz4gjt28cKectSc7kbfjIxbMGbBmEWgjx9jFoIMYxaBng+AMYvANtxDAQpQgAIUoAAFKDDzBCKTqGHvRt1J57dPljyF7y8KA/ZeP/r/eg3nGw9hz4vlOCPlBoTRwXRoehu3xSlGAO2SxdG5oMfSnS/GHWjqMAx7Iezo0qFWvBdaZK4NPAVDoMGq1K7JGG6j726AVnItSqtKkTKsewW0qenSQW1Gr0QPc0eTUEcAUO5AwdPDDhSPkSVmBb0212iUW4/g3fwkKHwTY+KXQphYQkgUcYT9UtrV+/j9jlskjcbyZb+7U1MX2oUpMuxNaL/q3ny7R0r4Uc6Pg3cdEneb6C6ZoKuVxiTbUoKClaMblWxtKY7sTRlWHUW2RA2teEE22P4e3SuLzNlU+N4m6YoczZU4dM7s/QwKFWuuNKGsoikypw/Qq+OOCaaOJlTs3ozktBK0hvn39OIl0jXhwg04498BzsTNFKAABShAAQpQgAIUiIDAiDGLfti/ks772dk3cajxPK79tR8Dc2IQ860YxMwBBvp70d1Sg73/Vodu53SFERjpJO2SMQvvG8OYhacHYxYAYxbOJ4IxC8+PBpcpQAEKUIACFKAABSgwTGD8pz65/xnOvFGDbiGo8dBi/GTHOsQMO62wIQH577zjs2cA9ju96G47iVNiRY1e6P6fOjz62nYsn+PTdFqv2mBxJmqolNGaw0CJ9T9OQcXVdqBZh/Z8LdLnupAd+PjCKSl5I3U9Uua5to/z75UpeNJ/rgUUjy4Wq2JY4Ez0EMdgg9noLHGRmuinyodrfEo8LiSXXLUAPX0Q6lD4O41qyeIAyQwaFHd1wWOiEFfHE/JbuUio72EAeixiNQLhCTFdck5LI1QduWBE8UohMcYBmzNgqJofNyFjHXZSyw0YnC/1s5KTAngPO2rYhqR1Tw5L0hjWaJpsiH36JZR3ZmNfmxm6vZuhOxgLdbxwPx2wXDd7V5gZ92v2/+w77phhaK1DdW0rTHfbsa+wGsoTBdCEmHcT+6hzqhaYJ/9ULeNuyg4pQAEKUIACFKAABSZUIKSYxd/Q96VzlLMXQLslFxtWLUbcUFxiAP3dv8WhX+vR138ZNe+uwK92rcLsCb2waJ6cMQtfbcYs3CKMWQCMWTBm4f5EcIkCFKAABShAAQpQgAKBBca3osb9flyurYCuV0jSiMGq536Odd8KfPLhe2ZDPm8xtFtfwqt5CRBnQ/jqMk53elQOGH7Q9N4y/qk0Ab0Uq1OQIu5tR/slj3kjHAZ0vCdMVSFD1jMpUATsAbD1GKBrqEbFnmxk53r8KdcFOSqEXXNjIbzaBcywDlXkcMDmHKY2fmHQTuJipaPRZRYTNYI2nuw745TSVCydZmc1AhP071sApQoqOeBobndOf2JDnzMpInoJPyPgCS/4xSZaqB4doS13SwKzlEh/vQPn3i5G+moVFHYrTNdNMPX0Q7k6HXn769FSlePUUiEauV0y5/Q0Q9MK9dSj6YLH3xlh3LtIlT0NYwhsSgEKUIACFKAABSgwUwRGEbNYsP555P4PzyQNAWs2YhJykZ/qTIg3dkA/U8MWjFlInx7GLNx/izBm4baYCUuMWcyEu8xrpAAFKEABClCAAhSIkMD4/ZNaDHi8grqPhK/wy5Hw3KvYniCmWoxq6PKkdUg40Q29Hbj1vz8BkhNG1c9UP0iY11JIkIjKz9wUbN4iQ/t7DrSfboc1LRNCtQbbhbMQJ1aQb0RyQoCx2M1oOpCHirbRvawN/foWIvYbobeeli1j48SkFRP60CdwWz/GBxZAlluMYnsRipqF6U+KoVl5G+ZOQUALlb8SItMSZ/peVOzqHJSvdiVkeF+n9UydtCFRhYW+U/d4Nx3XNVniemxUNqLaArReN6M81TXFUainUUDx9VDbsh0FKEABClCAAhSgAAXGIBBWzOLrkAvhjBGmNFmUkICYP5xHP27hkx5gXbj/OTyGy5kshzJm4XsnGLMAYxa+D8WMWGfMYkbcZl4kBShAAQpQgAIUoMA4C4xPRY37fdAfdSZpCJU08g8ifwxJGtI1fhPfnLEv5Ocgxvli3fyFMFFHtH5kSHoqS0oL6dThA6EyCmzQt7WKA1DmZiLJb56GA/qqbClJQ65B3tst6OjsQleXx59a/y+YQ76yL247KzHIMGeo3Kz7aH3PbfeKn6U+q1naukaF4LU3/Bw82TYp4qAUc6CsYkURS1crTJBh4+okaBLTxSkxhOlP4LBJ09VABVWkpqsJ10Ye45x2xrMySridsL23gA2GC3pxkzpZ43daH+/247mmQOwokoCsFufnUa5EXLASPeM5VPZFAQpQgAIUoAAFKDBzBcKOWXwTcc45XD+7/XlgN7kc/825d2AwcLPpt4cxi2H3lDELNwljFm4LLolxRcYs+CBQgAIUoAAFKEABClDAv8DYEzXEgMdBNBjtzulOxlZJY2iYX17D1TvS2uJ/+vbQZr8LA33oPv1b1P1ej95pUW5UifgV0pUaTGbny3a/Vz7+G1esxw7xxasRrZcswF092tuE06iRk6r2fz7bRZxtFip/ACl7j6BgtRIKvwkd/g8PZav5ul5yWKaFWijzIf7EYmmC8y1x1w04X/26dnr8tuDjC9IcIMqEpWKVEI+dk2jRDIs1lOEsxMKVQjsDzHesMAhJGc5qJ8L0NWKqhjD9SV+fNDVKogrOgryhdD6qNubQBg7Eq/GkeAYLPugOfMdGNYhoH+SwwXZXeu6jfWrP8zmu1KFO/IxqkLnGOcWPZ4NILt81Qt8lnSB9Wejnvv2pNAEOEheHnjg16IDtrg2OGRUAj+TNY98UoAAFKEABClBghgiMKmaxAIv/yVkhtPdTfBaI6ss+/E3cF4cF8wM1AsCYRRCcMHcxZhEm2Hg2Z8xiPDUj3hdjFgBjFhF/zHgCClCAAhSgAAUoQIGxCYwtUcMr4BEH7a5xStKAHd0nz0As6PDQcjy52vlVFr/X+hnOHNqLmpYPcfkPDSh/tQ7X7vltOIU2KvD4aq003jMG3Ijmi8lZaqTnSvVajacvwnipHe3CSFZk4sn4AIR/t8E14Yky1s/X4wet0J+XvvEfoIfgm+0G6I6bxDbaTd8Tp/1wHaBevVGqIHC9Eic7/b80d3Q2ovKqcIQmcLKJq8OJ+D1PhSTxvAYY/+L/GryHFQvVEmmLuVsHvTC9yQYtHheSYxRJSEkTSvQ2ob3ZDFE9Pi5CiRpxUCVK4zD8163QEopkSUjeImXxmN6uhE7Kn/G+vKmw1tOEvNRkJKeuQfLLrbBE8zPq4eP4pAl7ChvFJCXVjmJsXOSxM+KLDhgb6qS/H+RZWL/Gz2ff7xjMuOH8rKpXq0NLnLqrR8WWNUhOTca6Z6sh5AXyhwIUoAAFKEABClCAAiMKjCFmsXRlAsRUjTuXob/l70wD6P5jtzQ7SmwCvhuw0hxjFv70Rr2NMYtR0436QMYsRk03YQcyZiFWm2XMYsKeQJ6YAhSgAAUoQAEKUCBEgdEnangGPBCHVXkvYOOj/0B/f7//P/aBkYc0YEffLT0aXilBzUfCmzg5Ep7bDq3ziyx+O/i8G5fFjA7n3q8u4+J1vy2n1MbYBC3EdAkIkYBWAAAgAElEQVR7E1q7Qnl5P36Xp1ydLp376kmU/UZM00DKj9cHnlIhVgWV8x41nWiC6a5zLA4rzBfqsTMtDUXvhVA94e5t3HId67qcu0bUFxahUXihH1+AgqeHymlILZZtRnGa8OLfgabCbJS1mGB1cTmsMLWUIbuwSUwiiP6LbNdFjPBbmYRksYKKA02HD0F33Tpi1YC4RVJqh/n9U+KL8qy1SdKUNVAgKVma/qS9Tbp3yvlxzn0jjCPs3UokpUpJPY73KnDI0z5gXzIkZb8kfabtepTl7kT9BbP7ngl38o4Z+oZ9aBSTawJ2NKE7hOlmXMkCtrZ9qO5wpSpFYVh2GyzXW9G4Pw9pWyqgtwOytaU48jON//tsFyp/eP9xfURwz3u7LZQEiEEHrD161O9KQ16D8LlWIaeqOPjf054s1zvQKP4dHXoFEMd1PZp6pE4cN+ux7z0pccuzWy5TgAIUoAAFKEABClDAS2CsMYvlT+EpMRG6D+fffgv6Ox4xjfv9uPH7Q6hzxS02b0DAnGnGLLxuy3isMGYxHoph9MGYBWMWYTwuYMyCMYtwnhe2pQAFKEABClCAAjNc4OFRX/+dyzjvelOJPlyu/QUuB+vsX/LxznMJ7hafn8EvXtEFLiE6ewHWPbcbP9EEy9IA8K04xD4EfHbf1XUc4iI9z4PrVJH8vWg9slIrYGxzoOn9duxcnY5Qv68+5mENndsMs/hyNB3pwb4tP0uDrP9Li6YDejguVCA7tcJnCAokFT4LZVU1dD57vFav12Nnaj1k89RQCffQboGpR3oBLnssD0feyYN6ltcRQgkJpOx9FwVfbEP1FTN0B7KhO+DbRgb11sOoCvQi27d51NeV2FiUg5M7GmHu0aEsV4cynzHk1HahWJzuRNoRN1+YZsIAi0XIYElH4gr3XDOKxCeRgla0i/sA1XzfD4QVusI0lAmVOIb96FG2IdHj/FqUnjmCzHnDGooblBuKkfO7PDT2BLDPrUdXoZTMMdSDMhOHa6zIz6+G8a4B1bs3o3pop3shp7bcvTLJluLUiVDBODTdTut1M8qdSSvjP1QjKhPz0Oi3YwWS8itQvi0JscM+G9IBxtpk5DX4PRh4rwjJ73ns871fd3Qo2lAmVWbxaDa0ODcJxW9WIMfj+Rva53fBAcPpWoiFVFKzsD5gNNv7YNkSDbTyJjEpRdhj6b4B67YQq3F4d8U1ClCAAhSgAAUoQIGZIjDWmAUWYMPOXHzyWgOufXUNDaUv4LffiMHXZwN//1s/BoQYxEMxWJq1G/kJQeIWjFmM/xPHmMX4mwbtkTELxiyCPSCMWTBmEez54D4KUIACFKAABShAgWACo6+oEazX0e6bLUfMf1+Op3JewuE3f4GfaIJNeeI8yZxV2L5rHRbMATA7Bst//AI2hfjyb7TDjM5xCqTnFUjTfLRVoy6qVTUUSMnIGrpM2ZZMPDlClogy4wj+/e1ipK9WDSWUCAkXKbmlqD/TgaO5iUPbhzr2XZDHInauUFHBBNN1E0x3ZFAnZ6HkjZM4d6wASYHGIFcj751zOPmG9/kxV4WkDXkobziH47u1AV9k+w5jItZlK4tx8sxRFG9IgnqeO+ki0FhkcXHuCidpKd42c7VISXUfqVL6VCFx7xr7klyD4vfO4WhhOpIei/Vf0cHPWWTL8lB/+iSOvJyFlGXuZ0a4Z657vl2sMuLn4EmwSbaiAOW7hGSZ6P8o4tWS0cHjaOnswNEdgZM0IjI6j3vUce4oclYE+mD6OXvPKRx9T6jnoUJBXhjJZ/PSUb4/PeTny8+ZuYkCFKAABShAAQpQgALhC8Rq8fPXD2L795djUcxsDHzVj/4v+wH5Aix+YhNefO01vJi8IHi/jFkE9xnVXsYsRsU2hoMYs3Diefx7mDEL/w8UYxb+XbiVAhSgAAUoQAEKUIAC/gS+9uDBgwf+dkR82/0B2P8PIJfPjvippu4JHDC8sQk7T1iA+BzUNxRjpAIjU/FarS1FSDugB9aU4lxVJiKYVjAVeTjmySpwpRKJO6Q6F0l7W3D0mYCTUk/WKxh5XIMO2O7JoAjyBcGRO3G2GLRA92KGWMlFufUomne7pusJsQfP6h5bj6JrtzT9T4hHsxkFKEABClCAAhSgAAUoMO4CjFmMOyk7pMB4CTBmEZ4kYxbhebE1BShAAQpQgAIUoMC4CExcRY2HZjNJY8RbKENSfjly4gH0NGJfjQHCd9H5QwEKTLyA7QtxAg8AGiQnTsMkDYF41jglacAB49tF0nQ78Tkozw8zSUMYS5/VOdWMDFnaxyf+AeAIKEABClCAAhSgAAUoMOMFGLOY8Y8AASatAGMW4dwaxizC0WJbClCAAhSgAAUoQIHxE5i4RI3xu4bp3ZMwtURVKbRywHKiCNtqjEzWmN53nFc3BQSsl6pRdLBdHKlqRzE2TovpliIHb2nZg/wGMyDXorQq/MpAtps6lO2vhpAaI1u7H9tXjzw9UOSuhj1TgAIUoAAFKEABClCAAkMCjFkMUXCBApNFgDGL8O4EYxbhebE1BShAAQpQgAIUoMD4CTw8fl2xp4gJKDNxuMqM7B2NMNXm49Cycyhdq4jY6dgxBSjgT8CIxtxD0FlMMN8V9sug3noYVT/TgGkD/rykbbauShQd0MMBFXKqDiMz5OIjVrQfLESd3gzTHamWkCK1BPX70zk9UmBu7qEABShAAQpQgAIUoED0BRiziL45z0iBYQKMWQwjCWEDYxYhILEJBShAAQpQgAIUoEDEBJioETHa8e1YtrIYx2tl2HN6KbZrmaQxvrrsjQKhCfRdN+H2PDWSNqxHTl4mtPH8LI4kp0h4FsVbzfg45TAKVoaX0mL7wgSTQwV1shZZ2c8ic2XsSKfjfgpQgAIUoAAFKEABClBgAgQYs5gAdJ6SAj4CjFn4gISwyphFCEhsQgEKUIACFKAABSgQMYGvPXjw4EHEemfHFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAJDAg8NLXGBAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUCCiAkzUiCgvO6cABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAJuASZquC24RAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABSIqwESNiPKycwpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKOAWYKKG24JLFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQIKICTNSIKC87pwAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAm4BJmq4LbhEAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFIirARI2I8rJzClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUo4BZgoobbgksUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClAgogJM1IgoLzunAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACbgEmargtJv2S43o9iva2wjI46YfKAVKAAn4ELO+XoOR9i5893EQBClCAAhSgAAUoQAEKUGBqCzBmMbXvH0dPAcYs+AxQgAIUoAAFKEABClAgugJM1Iiu96jPJgQ88vOroT93AJVt1pD6sbYUITExUfyzky+HQzKbmY2MqHQ+J4mJlTAwESgyj0FPI/YcbEf7wU0oamGyRmSQ2SsFKEABClCAAhSgAAUoMBECjFlMhPpMOSdjFlG504xZRIWZJ6EABShAAQpQgAIUoICnwMOeK6Navt+PXv1pnGi7jN7P7RgQOpkTg0XLk7HxRxuwPDbEXu99hu62D3Hx4//Ep5/3o/+e67gE5L+TjwTX6kz8bdFhT341jHYZtPubUZEWIqrH3ZXNmjMT5XjNIQrI5ADsUuM5s0I8aAKb2W624lijDh2dBpjvApDHQr16PZ792XakP6YIPrJBG0xtx3CspQP6S2bYACjik6DNyMH2Z7RQ+TlcSHpKO6AP3q/HXu3+cziS4fM5jc/Bu7V9yN7RCP2BTShCM45kKD2O4iIFKEABClCAAhSgAAUoMO4Co4pZdKPm+Rp0hzyYGR63YMwi5CeFDUcnwJgFYxaje3J4FAUoQAEKUIACFKAABSa3wJgqagz0nsebL+1BeeOHuOVK0hCu914/ej/S4a19e1DX7Xz7G9DBjlun38Se4l+gpuVDXPurZ5JGwINmzg6HEdWFZdDbAVVuDQ6H8WI3VqlyO3kkbbg3cokCgsBCLFzplJDLJjfJoBX6N7KRtnUf6s8YcFumhnqZGiqZFaaORuzbmoa8d01wBLoKuwn1z6che289Wp1JGkJTW48BrVVF2PxMCVojWOxCtrIYR/ZrIYMD+gOHoIvguQIRcDsFKEABClCAAhSgAAVmisD4xCxmitYor5Mxi1HC8bDQBRizYMwi9KeFLSlAAQpQgAIUoAAFKDCVBMbw+v4WdFXNuNEPzH5Ei5/8dCNWLY7BbAyg/8/nUVerw42v+nG5oQHfXZaPBL8FHezo/vVe1HwkJHPMRszyddj89DosXxgHud/2U4l2PMbqgLG+DPU9AOILUL5Lg9G+Rlcpfb7dPx7DYx/TT2DlQiyctFflgPE3+Sg6YQbkWpTUliPLo3qG9UIF8nc3wfj2NlSqP0TJGt9PixWt+7ah+ooDmJuC4l8WI2uFUkyasJrOonp/GXQ97dhXWAllQzE0QpUR509sejk61rrWAvy263EoYx9aIcPC+X7KcjgPU2YcxuHr61DUrEfZ3iZoarOgmgJVTAJcNTdTgAIUoAAFKEABClBgkgqMJWaxHLmHD2Nr0Ctz4JPfH0TNn+xAbBzigradrjsZs5iud3bSXhdjFoxZTNqHkwOjAAUoQAEKUIACFKBA+AJjqKixGJtezMTShFz84pVcaMUkDWEAsxHznQ14IScB4ntOezf+0Nnvd2T9HW9JSRoPLcJTu1/D4Z9vwqrFTNIYwuo5hcpaMwAV8l7JgTrcl7lzlVAPdcYFCgQSUCBuKszAcecs6sTPgwxZrx/2StIQrix2bQkq9mgAOND0m1PwLVbhuFSHAxeEWhsalNRWIGelEjLhMzVLhthlmSitKoVW+EurpxGVZ3yOlimgmBv8T98fm9AqDGRFMTYn+iaJeNrLoM0vR7pwrqsVqDxt9dzJZQpQgAIUoAAFKEABClBgXATGErOYDXlMDGKC/XnYhIuXpQqiy3+wAYvGZcxTrBPGLKbYDZuqw2XMgjGLqfrsctwUoAAFKEABClCAAhQILjCGRA0Ayg14MV+LOD+9zE5YPZQkcKvn0+GjuH8Np1puiduXP7sbm9Qxw9vM6C0OGE5WwghAlrYTz64I9uI3AJR8jvNbPWoo5wZo49p8pRKJiYlILNRBfG1sM6G1qgSbUxPF7Ws2ZKOk1gDroOuAAL8HrTA07MPOTclSf4lrkLa1BJXnTLD5Hmtrxz7hnIk7Q5sC4o4ORWL7IujuBDh/2JuNqBT7TETlFelg281WVO7JRtpaYWzS+OsvBXiZPuiA5YoOja+XIHtrGtY4+0pM3YzsPZXQXfF3nAVN2yTXxJdbYQsyZkdnhdMxD029/htaLzVi367NSHaeW7xXVa0wBevYqysZFK7qEco4BK4F4XVQ1FesXe3Qi2fNQvJq/58HVXImtEKbq41ovek5RBva328Sp0SRbdmJjfGe+5zLykwU5EoZK8aGVpj8NAm4yWHAybfFTyvSs9ePXCFjbgq27xKSSgB97TEYA87VEvCM3EEBClCAAhSgAAUoQAEKjCQwlpjFCH33nj2Da/cBfEOLp55w/YNqhIOm1W7GLIbdTsYshpEIGxizcLMwZuG24BIFKEABClCAAhSgAAUoAPhJsYgAy8DAsE4HLndAL3z5RK5F8owMagwj8d5wtx0n3xPe3iqxIztldC/P52XiSFcXurqOI8vfi2nvMw6t9V+pRvbT2djX0A7zXWmz444J7TU78cM9rVIix1Brj4VeHUrS0rCzqhWGOzKol6mhjp8D6812NO7NRtqz1TBKXziSDlLEQSnGswwwh5J48cVtGMQjVVDN8zjveC3+wwr9G9lI27oPjR0mWMWxOsTxV+/6IYpafKosCAGH03uQsaMMlc3tMN20iokA4nDummHqaETZjh8iu8bo3i7uVOLJp6WX9Ghrh95pPPwybLh4uknanJqF9b5f0Rq0QPdyMtJ2VaL10m3IHlNDvUyFOcK9atgn3kNxmo/hHQ/boikUnpMudL2sHfX0OsM6HecNt/8ipWlgjQqLA1WXmaeCWnymLPj4Lx5JMjYDLrYJA5Ih66kk/9fY24qm9j5p1BYDbgy/3QGvyNJyFE3C86LcgWeTQ0t1UaVlIUXo0dKIpgshZ9UEHAN3UIACFKAABShAAQpQgAKjFPATswja073LONUm/dth0fqNWBqdyErQIUV9J2MWw8kZs/A2YczC20NYY8xiuAm3UIACFKAABShAAQpQYAYLRC6ccN+dnBH3yCPDiE1/viZtUy/F8siNYth5p8oG64WzaBcGq9wIbTTnL7lyCNk76mGCBnlvt6DzUhe6LnXg+B7pBb7jwgEcc1ae8LK061GRXYb2u4BqyxGc6ziH4w3Hcby5A11njoiJIo6b9cg/2O5RQWIhFq6UejF/6vFS3atj94rD9pWU8JCoisj8v/rX81F0woQ5qwtw9P1OKXGh8yTK04QqCw7of9kIg2/lgzkKpOSW4khDCzouOJMdurrQee44StYKVR8cMNWWoekT93UIS8pU50t6tKOpLUBGwF09Ws9Jx6Uka32SdRzQH96EsjYbEJ+FI2c6ce7EcRxvOImOS+dwZIsKsJtQX3hAvCfeZ5+aa3MUzvlZeqxwplP4uRD3M2X49LZ7f88N6fOEJCz1TXgREm4uVCI7ex90N1032ABzgNvi7tS55DCgsUqopgGk7Noc+hRFc7VIT5P6aO3yTeZx9s1fFKAABShAAQpQgAIUoEBkBEaIWQQ7ae9/6KRqGnItNqbMzOqgjFkMf0IYs/A0YczCU8O9zJiF24JLFKAABShAAQpQgAIUoEDEUiQGLl9Ct+gbh4SEBT7SfXC9Q13wSAxu/bEZb722By++8Dyef17688KectSc7kafO9/Dp4/pvOrAjevO6gHrVoT+4nc8SOwOOORalB6vR8FqJWRC5YJZCqi3FKN4mXACB9q7h08KYTpxSKoosKIEFbu1iPWseDBPi5JflkCoIeE4V4mT110DjYVqibRstnq8eh80olKYdmRtJYwe06XY+pwv3uPjIpKoYe65DfWOo2ipykPSIufUGjIV0n+WI03jYz8Fg8+lx6aVo6IwE9plSvf0IULdhlg1ssoPI0us7mDG2S6z66Kl3x4v6Y2nL8JfToDtUruUXCDPwmbfKg3XG3GoWUgq0Ii2Ws8KI7Niod1dgZIVAOytqGz2GbT3SKbMmkr9pDRWy0V83DPysB2unAvhuXMl+UAFZazHsYNSFZUf7m6EyS6DZlcBMp27zZaRk4eEpu5qGjnI8b1PHqcavqjA0sQkafOZj3FjeANuoQAFKEABClCAAhSgAAUiJBA8ZhHkpB7VNBakPjVDv3jCmAVjFgBjFt5/TzBm4e3BNQpQgAIUoAAFKEABClBgZIHIJGrYu1F30lkxY8lT+P6wb7D3w/6VNLjPzr6JQ43nce2v/RiYE4OYb8UgZg4w0N+L7pYa7P23OnR7Tpcx8jVNgxa3cduZzKBdsjjK16NCTtVhZA67ZyosTZSGYrHd8x6TwwBdg5RqkPWzjVB5Jmm4WsY/iUzxeAs+uOpOWohbJL2otnzZ72oJmLrQLtxzexPar7o33+6RkleU8+P8T13hbjqqJeXWI3g3PwkK3/HHL4U0SgccHokjI55EvhRqZ8UQ0xe+U1so8GRGlnQdV3W4OCzxwIKzvxNrqkC2KR1JzrwR6ZwOGE7XSskdm7Zjo79pbWap8GSG0/bCx3CLjzjqSdtAlpiOHLGohhGV5fUw+k4Zc9cMfe0+VHYOv4ShJB/PXVYDqp//oVhFxSHXoODdc6jflg6N8zn3bBpw2aOahiY3Cxqv+xTwqKEdSpWzXI7dFNr0P0NHcoECFKAABShAAQpQgAIUGLXAiDGLwD0PVdN4aDk2pPp+KSXwcdNrD2MWjFkwZuH7mWbMwleE6xSgAAUoQAEKUIACFKDASAIPj9Qg7P33P8OZN2rQLSRiPLQYP9mxDsMLgf4NfV86e569ANotudiwajHi5rjONoD+7t/i0K/16Ou/jJp3V+BXu1Zhtmv3tP9tg8WZqKHy+vp/NC5ci5SVYb5t7rmKi2IyjRbqJYGOVUIlVOToAkxmCxxQiUkKykXCi2oD0GOBUL9AKHZgunTKWWHCgaYLRhSvFGtxwOZM2FHNj4sIhGrJ4gAJIBoUd3WheJzPKkvMxA5lE6otJjS2mZC1w2OOm96LaBWTVJTYkSpcv+ePGVf/KJWL0C5bGmDMgJQEYACu98DiAFSBbo1n15N5WaZBwYE8GArrYbpSjbzUaiji1VAKVUv6zDDd8SihMcJ12K7Wo2hXNYx2QLYyD0cOFSBJrLThQEBQP31aWxulSjLyLOzMcE7N4qddwE1KFbQA9DDg9hfCfLUBW3IHBShAAQpQgAIUoAAFKDAeAiHFLAKc6F43Tl+UqkHGpW7EqqEYRoD203YzYxbSV1UYswAYsxj6mDNmMUTBBQpQgAIUoAAFKEABClAgNIHxTdS434/LtRXQ9QpJGjFY9dzPse5bwQeyYP3zyP0fvt9CmY2YhFzkp5pQ/oc+wNgBff8qrBue8RG88+mwd3zvUGRE7P3OxAoDqouz0RRgzA7X/B6WPgj1JcT34nFKcVoRU6cZwsQmsTBB/75FyDKA6q4Z5uZ2GHdpoJllQ5/z+Ognr4zA5rDA1HERH/yXEVevmOFRGwR9wyplePQ1Sw1thhLVNRZYWvQwbVMPTXNj7tTBKDRdkYN0ccoZj+NwD/1OC0NNIbKbPfd5LNtd4LfRJ1SfmAZJALKVBTh++ntofbcOx1ovwtRjgjCxi5CwkbIpE5k/fhy338hGRSeQtMid0KOIW+iEsaHr3Tzkv22EAzKotx5GVZHnVD23cfuKh2GwRYcRx2qlKi+aXZt9qp4EO9DfvjCrtfjrgtsoQAEKUIACFKAABShAgeACo4hZeHb4WZtOqvgpVNNYP6wMpWfTmbMc4N//kwqAMQvGLKL0QDJmESVonoYCFKAABShAAQpQgALTRGD8/kktBjxeQd1HQtkDORKeexXbE4Svuvv7+Trkwi5nhQR/LYRtixISEPOH8+jHLXzSA6zzLSwQ6MBptN1hF6oETJVSCA5Yb5rEyhhBb4FC4b6i2DiohCoa6EOfkL1h/RgfWABZbjGK7UUoahamPymGZuVtmMUpLbRQjaJwQdDxjGGntbMShS83wjTCsxzoFOq0HGhqKmC01OLs1TznVCkmdBwX0g8AzdNPItjlOu6YYLoTqHfXdgUUX3ctT4PfCjXSCyuQXujvWoyodiZaqBe55WRy12dIh+q3hb+i1Mgpr0LxWjFdyN2Rw4avXJVbHvXZ524lLllb69Ao5sKkICtNeIrH8qNETKC/LsfSLY+lAAUoQAEKUIACFKAABSSBsGIWftDudUPX9pm4Q/5EMrT873fRgjELxizc//Ie/rlhzMLXhDELXxGuU4ACFKAABShAAQpQYCYLjE+ixv0+6I8eRIMwj4BYSSNYkobA/U3ECdUx7MBntz8H4FtRw3lL5HL8N0CsUDAwOJNu0xzECP/StQDmL4SyqsH+2TuZXLQoPXMEmeFUblDESVNX2K2w2QBLVytMkCFrdRI0tnSguVWa/mSZDdLEFiqowuk/kjw9TdhT2ChWdFBllKI8fz3U81wJAcKJrdAVpqFMTDAJMJBF30PmmgoYOx1oOm9AwcokyK7rccqVAJAa/N5r95/DkYzgCQUBzjw9N1/vQquYaJGFJM/ErkVLnVOMALLHMrH/UCnS/X0BrseEi6KMFkv97XepeVTTUOZvR/pc144wf39xW5j4B4AKUZ/lKMyhsjkFKEABClCAAhSgAAWmrEDYMYvhVzpUTQOLsCFj+fAGM2oLYxaMWQgPfAqyGLMI75PPmEV4XmxNAQpQgAIUoAAFKECBaS7w0Jivb1QBjwVY/E/Or5/0fgrpOyl+RvJlH/4mbo7Dgvl+9rs2DfSh+/RvUfd7PXo9551w7Z9yv5WIXyEN2mAyOxMUJvFFOF+CAwaYXbNthDzchVi4UmhsgPmOFYYLRkC+EckJMihWpyAdgEOY/qSvT5waBYkquCe0CPkkEWlo6miUpidRFqB8b6ZPkkaop4xFytMpYmPHv3fgYwdg6jwlTSWzKRMpfhMAFmLpWql/Q48wYczE/zju2mCTMmkmbjCDFuhqa0U72ZZk76lIYjXQOj9TcSlZ/pM0hMouF5z2K7TQBMl/sXU0OqtpaLE9Qz3qa7b2mqTPt1wdVqKGw2aDbZRVXEY9WB5IAQpQgAIUoAAFKECBqSgwqpiFz4Xev4bzrmoa//L0iFO8+hwNMGYxjCSqGxizYMyCMYtRfeQYsxgVGw+iAAUoQAEKUIACFKBAyAJjS9TwCnjEQbtrpEoa7nEtXZkAMVXjzmXob7m3u5cG0P3Hbml2lNgEfDdgYYHPcObQXtS0fIjLf2hA+at1uHbP3cvUXFLg8dVaaehnDLgx2auJxGqxPlUYrgNNDTpYwhpvLFRLpEA1hSIAACAASURBVEs1d+ugF6pPbNDicaEwhSIJKWlC5ZUmtDeboReaxcdNmkSNezZnVooyFopZ0jV4/q/t5gdod07D4bndd1mRvBlZwofBfgodXQboW4R+ZchKTnJPEeN1UCy0ac7kjuY66MJOjvHqbIwrNuhf34w1qclITs1G9ZUJytYYtEL/RhHKLjgAuRb7f+prp8T3npE+U5aGav9mFh2qGyTMlB+vD1zHZtCEk2+3i26yLTlYP+oKLw7cMIpPNbDhcSwN8U6Ym/OwLjkZyWuTUXJmQm9+iCNmMwpQgAIUoAAFKEABCkyQwBhiFp4j7m8/Bb2YKB0H7foEzPbcOeIyYxYjEkW6AWMWjFkwZjGKTxljFqNA4yEUoAAFKEABClCAAhQIS2D0iRqeAQ/EYVXeC9j46D/Q39/v/499wHtgy5/CU+LUAn04//Zb0N/x2H+/Hzd+fwh1HwmREDkSNm9AwFkIPu/G5V6Prr+6jIvXPdan6GJsghbizA32JrR2TdDL75DtFEjJzoNKSNW4UIZNz1dD32OFwyNhw3HXAtO5JlTsrpeqUHj0HbcoSVwzv38KwuvvrLWul+wKJCWLNTXQ3ia9GFfOjwuQvODRYZQWF8Y7k2m6GtF4wTJ0vY5eI5oOZiNta4UzmDfCgGSPI/mHQmaKA6feqJCmPVHuQGai5zQq3n0oknOQFy8kd+hR9uM8VF8ww+pZYcFug+V6K5peL0L9Ve9jx3XNYYS+2Sx1aTehfr80Fcy4niNQZ4MO2O6YYWipRNEPf4ii94RxqJBTdRjpfpInYtO3u80Ky6C77nxGBx2wXtehrLBMvF+ytaUoTlUEOitsbXWoFvMjNCj+setZDdg88I677dA1C7uDJeX4Hm6B4bTRWWXHhvb91Wi3+bbhOgUoQAEKUIACFKAABSiAscYsXIT3r+HUaWfQQZOJzIDBCdcBPr8Zs/ABmYhVxiwYsxDiJ4xZhPXpY8wiLC42pgAFKEABClCAAhSgwGgEHh7NQeIxdy7jvNH1ZrgPl2t/gcvBOvuXfLzzXIJHiwXYsDMXn7zWgGtfXUND6Qv47Tdi8PXZwN//1o+B+wAeisHSrN3IT3BOk+Jx9NDit+IQ+xDwmdBe/IlD3GSZG8M1pNH8XrQeWakVMLY50PR+O3auTkfgV8ejOcH4HiNbUYAjr1tR9LIO5iv1KNpU7/8E8jxxOhPPnXHzhRQPAywW4e13OhJXuBMUFIlPIgWtaBf3Aar5k+fmxqZuR06DHo09ZjTtzkCT50UJr98fy0RBogXVJww+e3xXZUh6egeU71XD0mMWp+5QPqOF2k+VjqEjZRoUVFXAWlgCXY8R9bs3w7+4DHlPDx01/guypdCslaFJqGQh/Fg+xo07gNpPosR4nNzaUoS0A84qFD4dCt4vlb2EzG+7nx+vJqJZOXpy96G9R4eyXB3KvBoI9ywPNeWZUAay96ymsWk7NoYbpPU4n6WtSUxMwghJOR6HAIjD0tUq4KozOQatMH5SjhRx+iDvllyjAAUoQAEKUIACFKDAjBYYc8xC0vOspvHU+lVhVtMAwJjFpHgMGbNgzEJ8EBmzCPnzyJhFyFRsSAEKUIACFKAABShAgVELjL6ixqhP6XFgrBY/f/0gtn9/ORbFzMbAV/3o/7IfkC/A4ic24cXXXsOLyQs8DvCzOGcVtu9ahwVzAMyOwfIfv4BNY3h56ucME7RJgfS8ArFKBdqqUTfpq2oAytRSnDxTj9Id6Uh6LNZd+WKuCurkLJQcPI6WtgKpUoiHqiwuzj3NRFoKkjwzUuZqkSJOqyIdoFLGehw5wYtyDYrfPY7y3BSo57mSAxRQrU5H8Rsnce5YKTKXuLaPMNZlychZ5mqjQU6q2rUS+LcyBaXvnUP9/jykr1YjdiifSQHVshRkvVyO4y0fomBF4C7GvicW6fvLkT507rH3GHIP8liolyUhfUcpjjZ3oPNEaeAkDVenynRUnDuHo4XpSIp3PWgyxD6WgpyDx3HuWAE0Qa7FXU1DhR3/qnU/467+Q/1t16OxyihW00gv3Bw8KcerTxk0PytHgVBNhT8UoAAFKEABClCAAhSgQGQFPKtpLHkK3188itMxZjEKtMgcwpiF4MqYRWSeLj+9MmbhB4WbKEABClCAAhSgAAUoQAFPga89ePDggecGLk8mAQcMb2zCzhMWID4H9Q3FQV8iT6aRcywzScAKXWEayjqFa87B0UvFSApUkWImsQS8Vo/P9ZpStLwZpIJHgD6MVYnIaxB2JqG05SgylQEacjMFKEABClCAAhSgAAUoQIGICXj824Yxi4gps+OxCjBmEZ6gx+eaMYvw6NiaAhSgAAUoQAEKUIACYQpMbEWNMAc785rLkJRfjhzh2/M9jdhXY4BzgomZR8ErnrwCg32w9kjDk23R4nEmaQS9V5aWPSgSkq/kWpS+HH6SBmCDcyYgYEUykpikEdSbOylAAQpQgAIUoAAFKECBSAkwZhEpWfY7jgKMWYSFyZhFWFxsTAEKUIACFKAABShAgTEJMFFjTHxROFiYXqOqFFo5YDlRhG01RiZrRIGdpwhRwGaC7uA+VFsgJh7s/2nS6KcDCfGUU7mZ40olig7o4YAKOVWHw6+EMWiFoaYIB9oEBRXydm90Txs0lWE4dgpQgAIUoAAFKEABClBgagowZjE179tMGTVjFmHdacYswuJiYwpQgAIUoAAFKEABCoxZgFOfjJkwOh0I/1jK3tEIM2TIfOMcStcqonNinoUCfgSsbWUorL8I802rlDg0NwUl75Qj69syP625SRTo1WFndhkMdhm0+5txJCOMUhhXG5F9WAfLdTNsQmdyNXJer0LxmljiUoACFKAABShAAQpQgAIUmHABxiwm/BZwAB4CjFl4YIS6yJhFqFJsRwEKUIACFKAABShAgXETeHjcemJHERWQrSzG8VoZ9pxeiu1aJmlEFJudjyxg74PppgOqZSnQbsrBs09rEMspT4K7LVqPkl0G1CkKUL4hjCQNodfBPpiu30bsY0lIT8/B9me0UPGvgeDe3EsBClCAAhSgAAUoQAEKRE2AMYuoUfNEoQgwZhGKkncbxiy8PbhGAQpQgAIUoAAFKECBKAiwokYUkHkKClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoIAg8RAYKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAgegIMFEjOs48CwUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFGBFDT4DFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQIFoCrKgRLWmehwIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKECBGS/ARI0Z/wgQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKECBaAkwUSNa0jwPBShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIzXoCJGjP+ESAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgALREmCiRrSkeR4KUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABWa8ABM1ZvwjQAAKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABaIlwESNaEnzPBSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKzHgBJmpMoUfAcb0eRXtbYRmMwqAHbTBfaEJ1QytMtiicbxxPYevRo6mmEa03p9jAx9GAXVHAV8DyfglK3rf4buY6BShAAQpQgAIUoAAFKECBcRFgzCI0RsYsQnNiq5klwJjFzLrfvFoKUIACFKAABShAAUngaw8ePHhAjMkvIAQ88vOrYbTLkHLw31GRFjvioK0tRUg7oBfbJe1twdFnlCMe42pgac5DxutGaTW+GCebc6By7Yz6byMqE/PQCEC7/xyOZAS59t4m5D1TAWnkKhS/dxI53476gEd/QpsJrcePQdemh6HHmWgij4U6fjEyXzmKrPG6liuVSNwhiPr+aFF65ggy5/lu91i/o0PRhjLoEUJbj8P8LnqOY+tRdO1O8tuMG8co0NOI7E2VMEEG7f5mHMkI/e+CMZ6Zh1OAAhSgAAUoQAEKUIACM0CAMQvGLBizmAEf9EhdImMWkZJlvxSgAAUoQAEKUIACk1zg4TGP734/evWncaLtMno/t2NA6HBODBYtT8bGH23Acr/v1LtR83wNukM+eQLy38lHQsjtp1lDiw57nEkawkvWUJI0RAGPuyubNScslL6+G+72PX2YMrUp7vbBPXIz+qbMwAHHlWpsK6yHye6mF5fsVpiuW2EZz2uZFQf1MrX7RHYLTK7EEPfWyC/NkkEGwCGc6eHwntHID87/GaxXdDh2vAlnL5lgFe+VDLGPPYnv/etm5GQkQSlcUIAf4ZtTuvpG6DoNMN+VGinik6BNzcSzP06Hem6AAz03C9Vu9Geha+uA4foNj/sWJHEmPgfv1vYhe0cj9Ac2oQhM1vAk5TIFKEABClCAAhSgwDQWGFXMwsOjvxf6/ziB8x/14rOvxIgHMFuOBf99ObQ/2Ix134nBbI/mM3KRMYvQbztjFqFZMWYRmpOfVoxZ+EHhJgpQgAIUoAAFKEABCkxSAY9X+eGPcKD3PH5V1Ywb/T7H3utH70c6vNXdgVXPvYrtCXKfBlwNWcBhRHVhGfR2QJVbg8NhfBM+VinUwJAqaiDMO63JKEfmhX3Q/X8qZO7PgibkAU9ww2UbUf6MHvveN0P1TDmyVkzweEI9/aAJjfulJA3ZYznY/9p2pMcrpKMHHbDZ+qRkhlD7G6ndihwcb8hxt/KsbOHeGvml+Qsh1NAQnlJZkASHyA8khDMMWtC6Nxv72nwzZhyw3mxH0+vtaKpJQXlDBdKHFaxwwFizDfm1pmH30dZjQGutAa0njiGv6l0UrAwMYe2qx76Xq2FwJnmEMOqhJrKVxTiy34xNB/TQHzgEXeIRZA4b51BzLlCAAhSgAAUoQAEKUGDKC4w1ZmHvrsMrv76M/vs+FAN2fPaXy2iuvIw/PJGPV7clYMZGPRiz8Hk4RlhlzGIEIOduxixCc/JsxZiFpwaXKUABClCAAhSgAAUoMCUEwnx973lNt6BzJmnMfkSLn/x0I1YtFr5JMoD+P59HXa0ON77qx+WGBnx3WT4SvL4svxy5hw9jq2d3w5Yd+OT3B1HzJzsQG4e4YftnwgYHjPVlqO8BEF+A8l0asfrAaK5cpfRb2iRwV8oUlJ7oRGngFpNzzywlUvYeR+feyTm8gKO6/gFqLcJeDYpfK0Z6vEfLWTIo5k7/N+pJyoUeFz35Fk0NRVKSRnwmSvZtx8YVSshmARh0wGo6i+r9ZdD1tGPf3iZo3s2C5x2ztR2QkjTkGuSVl2LLEyrECvkYQhKO5WMce7UI9VdMqC+sRFJbCZL85GpYWorEJAsHZIhduwMv7kiHNl4JRRgRYWXGYRy+vg5FzXqUCeOszYJKuAb+UIACFKAABShAAQpQYNoJjCVmAeDLD/GWM0kj7olcbM9YhcWxUu2Mga960X2yBnV/6kP/n2pQ951f4edPzMS6GoxZhP2xYcwibLLJcgBjFoxZTJZnkeOgAAUoQAEKUIACFJg+Ag+N/lIWY9OLmViakItfvJILrZikIfQ2GzHf2YAXcpzfKLF34w+dviU3ZkMeE4OYYH8eNuHiZWkOiOU/2IBFox/o1D2y5xQqa80AVMh7JQfqcF+ozlXCY3KLqeswA0ZuNbsqLWiw1DNJY7pf+9w4TO70DOcNGDTi7LvCZxHI2v0SslY6kzSEDbNkiF2WidJ9OVIi1VU9jFbnceIvK9pbWsVKGupdpShY60zScB6rWJSEgtdeglZYt5+CweR5rHP5Zj2KDujhgApZb/w7zr2Rh/Rl4SVpSD3JoM0vR7qQ3HG1ApWnvQbq58TcRAEKUIACFKAABShAgakqMJaYBfBZ54e4JVTS+NZT2L5NO5SkIWjM/sYirNr2AjIfkWyu/dnff8RPVbcwxs2YRRhYU7spYxaT/P4xZjHJbxCHRwEKUIACFKAABShAAf8CY6ioAUC5AS/m++94dsJqqNGNbgC3ej4FsNx/wwBbe8+ewTUhKPINLZ56IoyvjAfob+ptdsBwshJGYUqItJ14doWfr9iPdFHyOWIlEhPUUM4dqTFgrEpEXoOfdmtKca4qE4FrclihK0xDWSeQU9uF4pWA9VIj3vzNMbRfscIBBVSr1yOnaCcyH3NO5+HnNMIm66Um1DXr8MElE6xino4CqmVx6AvQXtwccNoOLUrPHEHmvGAHu/eJY27QQX/JDGFyC9k8NZ5Mfxbbt6VDHXzY7k6ivTRohfH0MTT+7iwu3hSsneNem4nNeVlICvHax3XYlnaUFZZAJ1aCyUF9QzE0gT7CMsVQlZiFcZMVWXgwzTBLeWOQyQN8FucqIUw2JIRo7w16it6GuVNaj/t6jOcO9/JQwooDDq9jhSY2tNZXQ0gT0eypQMnawJ9Ed4dBluamYPsuDVoPG6GvPQZjejE0AS4pSC/cRQEKUIACFKAABShAgckvMIaYxee3P5Oub44cX/d7pXH4plD683MAAwN+W0zvjYxZMGYRwhPOmEUISOPQhDGLcUBkFxSgAAUoQAEKUIACFIi+wBgqaoQx2HCDFvcu41Sb9Gp+0fqNWBqdUYZxQVFo+v+zdz9gTZ153vC/LRJbLBSfsFbj4Bj1MdS1UaagM8bpKGNXanfFvot0W6jzFt0pYiu0u9K+qzCt4F4V51JwtkifEXyGYmcHmW3DrIojD+1YwzMKLTYylrjWUBmCZcnKkjatQfS9zjkJCZBAAgH58+W6uDh/7vs+9/05J73q7/xy3x3VOPYb4bW7AlsSYzCkV9gz4pBfV4e6uqNIGK1ZGm6ZUPnaaqzdlodKMUlDsLLAeK4M2c8mo+CiMCY3P1YDSrcJ9XJR9oEjSUMoZ4HxkpQ44aaWfw51m6B19PlcC2QLVVAtUmJqmwHVJbuQ+GQiCi546Ld/ejC0Vpq1yFi7Fsm7S1FtT9IQGrIJ/S7PxdZ1q5FRIa6nMrT2h1LLqkdeT5JGAvLfHiBJQ2xfjXTxGa1DxooxnC3Qk0gBVNe5/7acxVAnJmkAsxHWKzEqGIpFEqauplZMAupHe8WAs+JBN0lVzSdRViWcjEHCWiEVZPg/yrUJiBGaMZWi7IyQlsQfClCAAhSgAAUoQAEKTGIBNzGLB6fbk6yvf4KGG25sbhvw+VXpeMj0B90UmOCHGLOw32DGLDw+6YxZeKTx+wnGLPxOygYpQAEKUIACFKAABSgwGgIjlwJx2/mNkrCZ9vlAvRxR879rpdk0gjTYEOPhG+hetjVei5nPnES10HnFBmhGaf0S9XYhqcP5W7zJd72yV+Kxq8oC5fpMHK2S2qqpyLcnihhR/MuT6LfYgpAoset55J2zAKHRSH2rAjXn7P2o+QCnyjOkl8qeurM0vVe/6w4neSrp5rgNun3xyK6yAHMTkH+iBqfePYqjJcfwwblTyH9aCViFdTh3o7rDTfUhHRJmIIlCVJTzd+1unb2lUiS7HHeWkWZX6blcRzV2JWaLfZItTUZ++Qc9BjXvHULqciG1x4Lq3SnIqxulJBOrHgVbUlAqzKQRGoOcgxnQDHPyh57x3u0NWTRWPy0lkpgKdyG7qk8CTLMWu/aIn1got8QiulfOiRIr16ulEVTtRtoRxzI39kFZapGXVQChRdljz+HHfZKqzMJSKkLRKA3UvRJAhoESqkHsWql+ZZ1enIllGK2xKgUoQAEKUIACFKAABcafwCAxi3nfXy7OUAk0o3x/CRrsM+yJA73difOHi6ATjt0bjtU/nDf+xj/MHjNmwZiFM14hxDYYsxjmR2p41RmzGJ4fa1OAAhSgAAUoQAEKUOAuCYxYokbX+XPisidAGCIjZ3k/PJfZNGateRyLR6yH3ndp9Eva0HjJ/uJ+1SNQBYx+D4Z6RZvVBuWmQyjeGQeV/aWyTKFB+isJUpM1tfi0zxf4LR8UYO8ZGxCkQWbJISQvV0DmGLMsGPK5EVAMtUOD1btUir3lQiKDGhk/z4DGdamQADk0r+Qi4xEA1krklbufSWGwS/j/vA36kjxUCkHBuUkoPJgKzVznnCuy8GgkHzyKzBXClU0ofet9MQnA//1waVFMtklB8WXHfcxF7IjdNJfrjtqmDNHbCpG8UMjAMEL7WjwS92hhsNhgPpOHxMRsMUgreywDuZvUPcu5OLqneCoHOWuEe2SD/q1ErN1WjNo2GyyXy5Dx1FYpuWVuAvbtjO23xFDLtVqpmYVhwAUtCrK2InHdip5En9XxW7GrRAdjn8+V49ru/wYjIipaOnXiUzS6L8SjFKAABShAAQpQgAIUmLACg8YswuPx4oZwBAoCbTr8IuN1lPyxHV2djSh/859Q9LHwD7IgLH4uBet8+27KBDBlzIIxi4EeY8YsBtIZmXOMWYyMK1ulAAUoQAEKUIACFKDAyApMGZHmrfUoOtYgNb3gcfxVuPdX6ZlN497FWLfGhwQP7y8xDkq2oOWS1E3NgvH1zRzZY5nI3xaNYEeihV1btkAFDQAdLLB8AzjXcrFAV1UpfqNfsSkVcaP6ct+G2uOHpSSG+M3Y0GcmA7HrAcJsCNHIvVgL05lPYdyiwvAXn5Aj7mAd4lyeRHNFGqRZNZJQXJcO+/wLLiVcNm21qCyRZnSI+fvNUAe5nHNsBijwRGIC9taUwXZRi7NNCSO3/I2QpLEjHtmOZJt/zR/l++gY9Aj/DVIj9Z1yzHtzB3a/Z4DhvWwkvpdtv2gwolNykfN8NOR9nn2xQIACsXsqoFiUgbSDtbCcK8DWdQX2ujKonnoVOS/HQdnvXtpg6bDPiPJuGta/K1WRzRCW5xESiEwwNNWi8qDwTMQgp8T7BBmFUpiqp1acMcbYBqhdk5TsPeMfClCAAhSgAAUoQAEKTEgBL2MWs57YhX+e/Wvs/18forWrFbojO+GYCxEhEYh74QWsW9Dvf+InJFnvQTFm0dtjpPYYs/CLLGMWYhCOMQu/PE1shAIUoAAFKEABClCAAn4V8P98FbdbcWJ/Ieq/EqYAnYdntqyC14uX3KzH8bPt4gDD1mzAsql+Hes4aswCkz1RQ6kYX2tHRK9aCYW7F9We9Lsb0VglnYxZOkprvPT0xYiLH0kvwTWLIvrNguAoJr3QBnCpCaZRWkXEcW23f5sMOCue0EAT6ZxJo29Z2aIo+5IxBpikj1XfIn7YF2aISOtJ0sg4sm9iJmn0SE2FPFzpJqHiJq5euoirAy2PEzAVwQ+pENFv+RIbTFcM0Le6e7gsaHesshKkQtxrxag4U4eaE8LyPEdxtPwD1JTnIE5IMhKWw9lZ5v3sKQqlmDwlJGu0fNkzQG5QgAIUoAAFKEABClBgYgv4GLOYEhSGmXJxXo3eLt+Y8LnhOlxXROldYCLvMWYxOneXMYvhOzNmIRkyZjH8Z4ktUIACFKAABShAAQpQwP8C/p1RQ1ynNRfaZiFJIwTLfvoSVk33vtOtVVrUi2u8Lsa6J3yYhsP7S4y/kv69Q2Nv/GYTjI5ejfpYb6LT/hK8tnA7EssdHenz1+p4U96CduFF/N2eecDaaX8Zr4RyoL4Eh9nXVAaMJjPQb1GNPuP0edcC3f5EZFcJd1CBpP37kDBfWBpkgv5YalHwQpq0vEtoNFL3ZSLpEaDxRBH2HtTCcKYAW+vOIrWwEMmL+jgI3+DZKVhZACHhIisL6WsUaK87htzdBai9WIbsp2uhfzMfmWs8TCsT/yoy4/vPtSKbG4tXd+hxcpswe0opKi8nIHmhL/fABlu3L+VZlgIUoAAFKEABClCAAuNUwKeYRReaj+/F3opmdAEIeTgOm3+yCoob9Xj/V7+G7nonGir2YqfhGWSkr8Is/38NZnwgj/q/40eZhTEL38EZs/DdzB81GLPwhyLboAAFKEABClCAAhSgwKgK+C+UIAY8ftazTmvkT9/A5kgfpgC9WQ9tVas4+KDvr4bGh6qjKjbKF7NZ3X3LfpQ7MQkuZ2szwHDJw2+TxS4QjOD7JwGG10MMhiY+yf5ZNaHs3ZMwTdQX/t1GlG3fKiZpCMv7VJw6hOTlCsiCFFDHZ+Lo8WKkLpUBVj0KUnajutfMGjbo9sVLSRpzk3Do+FFkrlchOCgYyseScehUBXLWCwvqGKF9TUgEcb0BMgR7njSlp6AsUoMN4p4Jn14RknJ8+VEghP+99QWMZSlAAQpQgAIUoAAFxqOAjzELa00hcsQkjSBEbtmHfenrEDE9CCHzNNj0xgHs2hgB4X+jrYZfI/fdxvEo4pc+M2bhF8ZBG2HMYlAiNwUYs2DMws1jwUMUoAAFKEABClCAAhQYQwL+SdS43Q7dIXuShjCTRsoepPiSpAGgZzYNhGPd+sVjiOhudGUqQuxfqjd+OWJrVtyNgfW/ZsDYWN9Gk3UKdXV1g/zmIMaLl+b9BzlSR4wwtg3QtqUdjqdHOWeEltCZE4d9halQBwG2M9lI26+DeSIma1zUIu+iYK1G+stx/Zf3CVYj+edZ0lIz1kpoa1ySJdpOoqxcSLiSIWFHKqL7PkMBCsTuzEGq+Jk34nC13uWmBiPsIfvuFSNcWnUpIzQd7Fy651bvUx73vmxBrXhSiXG2wpLHIfEEBShAAQpQgAIUoAAF3Ar4HLNoxYenGqSm1M9gc3TfBV0DEb7mZWxeIWU8W3U62Eu7vfzEO8iYxWjfU8YshijOmIUEx5jFEB8gVqMABShAAQpQsTqISQAAIABJREFUgAIUoMDICgw/UUMMeOxBid5qX+7Ex5k0hPHdbsBpx2wajz7p03IpIk9XO+qP/xpFv9WhuXNkwUandQXmPiJdqdZgxISeU0OugMr+bX7jNfevoW01lSgbEfjZiHjM7tzUMiJXGJFG56sRKzasg+GK56fDdqkO1WK5WKjnj0hPxEZli5JReDAJ4pwQv0lDylv60Xtmu22wdFhGfOkO8zXH51ANpYeVSRCqgOOU7orL82QyQidKLYEqvM+SKI7bEhAG+Vxpx3apd0KGcpF0t1FjxFVPSTCuSTleZl2Ymw3SfQpS+ZSoYeuwwOL5sXOMiH8pQAEKUIACFKAABSgwNgSGFLO4jmvXpe6HhYcj0MNI5GEPSmduN/eUd1uUMQu3LOPiIGMWvt8mxiycZoxZSBaMWTifCW5RgAIUoAAFKEABClDARWB4iRq9Ah5h0GwbQpIGgM7q96GzCr0Kg+aJSI9BEJd+u2y24sTenSis+BDnf1+CnDeK0HDT5fS43AzGkuUaqecnatHo6eXsuBxb305HYMk66Ziu6my/GQNsl4qR8lrZCL34l0OzNka8uK28CFpT376N0f3gaKxcI/Wt7Jfvw+ju+eg24v1CyU32dBxW9p3Fwc9Dky1NR36WRpzVwViSgpQj9iQAP1+nV3MdOuQ+vQKr16zGqucKIOSKjdhPz7rL1dBd9JCl0NQIx1wYmgWznV0JkNlnu6hFdZ37ZCRYG2G4IFWRLVLCdf6T4KiV0kwdKMMH59xf2/yBFpVC9aAEaNTOS3vesqFRL6WPYN0SRHgu6HLGAt2bG7FizWqsXpOIggvu++JSgZsUoAAFKEABClCAAhS4uwJDjlkEItAeLWn/uB7SIq19h2LF1av2M/eGY87Mvucd+4xZOCTG51/GLHy+b4xZSGSMWfQ8OoxZ9FBwgwIUoAAFKEABClCAAr0Ehp6o4RrwQBiWJb+IDXNuobOz0/2vtavXhXt2bjfg/ePN0q46DnHhPWe827hej/P26mKFr87j7CXvqo7lUvJIDcT3rdYyVNZN5BeiMkTHJkkzEdTsxY4jeliExINuCwwV2Xg+pQD6GUlIWj8ydyt4dRKShZkMrDpk/10yCs4YYXZ94W+1wHSpEmVvpqFYXPpiZPrhW6vBiE1OFWewwMVcJL5QgNpm5zNia65FwQuJyBX6G6RB1k+incti+HYhn0or1u9D4SZhXg0b9G89jx0VI5v5YrukQ1mT1EXb5WLs+o3Bp/76UlgeFQMpdcqE0u0pKDhncs4q0W2D6UIZsv8xV0rUCIpF3AqXVAvVSiTYp9rQ7U5BdoXB+Yx122Bu0qFg+w6Uic+dElti+mRahMYgaYvkWvbaDpRdtvTquvlMHrb/XEi6kEHzj0mI9jBpR69KHdXQlgtHZEhY7eXzYdNDV26UmrEaUJxVipET79Vb7lCAAhSgAAUoQAEKUMB3gWHFLFT4nmM51+ta5O4/gcY2KxxRjS7zVeiO7EGJfb2TII0GHhdwZczC93s3pmowZuH77WDMQjBjzEJ6chiz8P0TxBoUoAAFKEABClCAApNHoOd74j4Pue08Tvd8hb0d5w+/jvMDNfJoCt7+aWS/Eq6zaTz+xDIfZ9MAMD0M8nuB1tuOpsMQFubYHsd/w59Awppc6KtsKHuvGluXx2JEJ0Vo0yJtXbZ9iYY+bjXZWBuV7Ty4IhOnDsb1+ta/86TvW7KlqcjZpENyiRH6t5Kx+i2XNkJjkHMwHYryUpS6HHZumqHdvhbZNc4jzi0dstdFwdlzDTJP5CNuhrMEZGqkHsyFeXsGtE16FL+yEcUup52bMiQ/6dy761sLk5H/ZgvSXtPCeKEYW59y0+vQGGS8nYNY1/GKHR+mmcfBy6DefhTFSBTvpW53PNJQjvz1jgVBPFYc0gnZAjU0QWX22XgAU30jzM+r/PZc9urUjDhkHTRi+2ulMFj1KN623v1zEqRGamEWYkJdagvP2IEMmF7IRXWHEdrdidDudjnfs6lE3Jv5SF7Yc8C+IYN6Uy4yLici94wOuc+uRt4MFZRhgM1kgLFDKBaM6O2F2OeltamqTFoWR7EFcVHeZHYIOR0RUD8mQ9kZe1KQ6VM0tgGqfs9X3/5znwIUoAAFKEABClCAAndBYFgxi0BEJr2Ex9v34/QXXbAatDiQqXU7iCDVM8h4doA56hizcOvm80HGLBizEB8aL+I8Hh8uxizAmIXHp4MnKEABClCAAhSgAAUocDcEhj6jhj966zqbxoLH8VfzhtDo1GXYvG0VZk0FEBiCxX/3IuJ9nZVjCJcd+Sou30CoKkDRBJ9VQ72tGEezEqCeYX9pHKpEzKYcHH0vF7Ej857feQsVMcj8zSkUZyUjdrkK8iDHqWAoF8Ug4bUcHK34EKmPOI6Pjb+KNZk4dqIYmZtioHK4QQb5QqHPh1BxIhcJ8718Ce+3Icmg3paPzMeE69qg252G3BoPy30M95ozYpGTFTsqs4UIXZWvSMfRimPI3x6L6IVy53WD5FAtj0VyVjEqqoqRvKi/uWx+AnJPVKA4Kwkxi5QuSVeOZywfx6qOIXONh4c9SImEfadwdI/wjCoxtc0AwyUDWmQqxMRn4FDFKRzapHL2aSBbqw6lB4VFWmSI3b4RqoCBCruekyM2KwexPZ8P13PcpgAFKEABClCAAhSgwAQTCJqH+NcO4PWUOER+NwRBgc7xBT4QgvDFj2PTq/uQ+8oqzBoossKYhRNu3G4J/85lzMLX28eYBWMWjFn4+qlheQpQgAIUoAAFKECBySZwz507d+5MtkGPn/HaULs/HlvfNQFzk1Bckg41X5KOn9vHno68gOu3qp49hLpXokf+muP6Ci7/TVmRiYoDcVB4naghDNx1NpYkHDqXjmif6o9rPHaeAhSgAAUoQAEKUIACFOgl4PLvC8YseslwhwKiAGMWPj4ILv9NYczCRzsWpwAFKEABClCAAhQYjwIDfe9jPI5ngvVZhuiUHCTNBdBUil2FtbAvOjDBxsnhUGCIAu1mGMWqMiRolgyxkclTzVSxA2lC4leQBpmv+ZqkAaC7HeYmyUv2tAZLmKQxeR4ejpQCFKAABShAAQpQgAL9BBiz6EfCAxRwFWDMwlVj0G3GLAYlYgEKUIACFKAABShAgQkmwESNsX5Dg9RIP5gJTRBgejcNzxfqmawx1u8Z+zcqApbLWmRnFcAkLOLxWBY2L++/5MiodGScXMR2IQ9pu3WwQYmkg/sQ52GVFY/DsRig3bMLBQJ4kAZZP4n2bqkVjw3yBAUoQAEKUIACFKAABSgw7gUYsxj3t5ADGBkBxix8c2XMwjcvlqYABShAAQpQgAIUmBgCXPpknNxH4R8siVtKYYQMcftPIfOx4HHSc3aTAv4UMKN6z3YU6YwwtEnzywSvyUBxVgKUXBbIM3SzFlsTs1FrlUGTVY789d5naZirsrG9+CyMl81SklhoDDLezkHCfCbGeAbnGQpQgAIUoAAFKEABCkwuAcYsJtf95mg9CTBm4UlmwOOMWQzIw5MUoAAFKEABClCAAhNXYMrEHdrEGplsaTqOHpZhx/EIbNYwSWNi3V2OxhcBy5cGGGxKqFZrkJD4HOKWyn2pPjnLhj+BjG21KApORc4675M0RCxrOwyXbVAuioEmPgnPPamGnEueTM7niKOmAAUoQAEKUIACFKCABwHGLDzA8PCkE2DMYgi3nDGLIaCxCgUoQAEKUIACFKDARBDgjBoT4S5yDBSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKjAuBe8dFL9lJClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoMAEEmKgxAW4ih0ABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgwPgQYKLG+LhP7CUFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhNAgIkaE+AmcggUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABCowPASZqjI/7xF5SgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKDABBJioMQFuIodAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoMD4EGCixvi4T+wlBShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAITQICJGhPgJnIIFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQqMDwEmaoyP+8ReUoACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABSgwAQSYqDEBbiKHQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKDA+BBgosb4uE9iL22XipG2sxKm7lHodLcFxjNlKCiphMEyCtfz4yUsTTqUFZai8vI467gfDdgUBfoKmN7LQMZ7pr6HuU8BClCAAhSgAAUoQAEKUMAvAoxZeMfImIV3Tiw1uQQYs5hc95ujpQAFKEABClCAAhSQBJioMU6eBCHgkZJSAN2p3cirMnvVa3NFGqKiosTfrT6+oDW9l4aNr+Si+OAuJD5fCqNXVxypQnrk2ceRVjHI2JvLkBafhtzDedj1bDJKPx+pPk3idtu0SBPvRxq0bcN0uJDX84xG7a8dZmOs7lGgqRQ79lSjek880iqYrOHRiScoQAEKUIACFKAABShAgSEJMGYhxV4YsxjS4+PfSoxZ+NdzNFpjzGI0lHkNClCAAhSgAAUoQIExKDBl2H263Ylm3XG8W3Uezdet6BIanBqC8MWrseFv12GxfJArdDZD9+/v4vTHzWj9SqwNBAZh1ncXQ/PXG7Hq4RAEDtLEhD9t0mJHSgH0Vhk0WeXIXTsYql3E5e7KAqb6xNTe3ugs39SOcTM3RUc7nD03on3cdNzJPam2AmSQAbAJg57i2zN6t5zMF7R452gZTp4zwGwVeiGDfOFK/Pj/2Yik9dFQCAPy8CN8c0pbXAptTS2MHVKh4LnR0KyJw3N/FwtVqLuKZmi3r0V2jbtzLsdWZOLUwTi4/a/D3CQcOdyOxC2l0O2ORxrKkb9e4VKZmxSgAAUoQAEKUIACFJigAsOOWTTi9G+10DU4YxaBIeFYvDYez8ZEIIRffwEYs/D+w8OYhfdWY6EkYxZgzGIsPIjsAwUoQAEKUIACFKDARBUYVkihq/k0Dry6AzmlH+KqI0lDkLrZieaPtfjFrh0oqhffZLr1s9YXYcerOSj5w1VnkoZQssuK1ivnUZ63A/90pB6eW3Db7MQ6aNOjYHs2dFZAuakQ+3x4uSpXKJ0WLkkbzoOet9TrcxC3UAYEqRD3ZgLUnouOrTOLNiDnKRWE1/+qp3KR8MjY6h5700fgodmIth+SDZDg0KfW3dntNqHytdVYuyUbpR84kjSErthgvlyNsje3Yv26DFS6nbDCBn1hItbGpyHvhDNJQ6htaapF5eFdSFyfiIILYsrKiIxPtjQd+VkayGCDbvdeaN32c0QuzUYpQAEKUIACFKAABShwVwSGG7NorynEjlcPoPyPV9FqBUKmhyDkgUB0dTaj/tgB7PhZCRomdcBC+OcQYxY+PdyMWfjEddcLM2bBmMVdfwjZAQpQgAIUoAAFKECBiSzg4+t7V4qr0B4sR2MnEDhTg2d+sgHL5gmzX3Sh87PTKDqsReNXnThfUoLvLUpBZN8vy9/4EL/4X+fReRsI+/4mbF6/DPPk0twZXV8JQY9CFP2xHZ1/LETRw/+Cl74/GefVsEFfnI3iJgBzU5GzTS3OPuB6F7zdVircfs/ec3VFDDLfrUGm5xJj80yAAjE7j6Jm59jsHnvlWSBaMdvzyTFwxlCShl1VFmBuHDJ2bcaGRxSQBQDotsFsOImCrGxom6qxa2cZ1EcS4DpfhaVqN1IOG2ALUiM5JxNPf18JuZCY0m2DxfQp3nkjDcUXDCjenofoqgxEe0ha0WSdQv56Hz/LLnaK9fuw79IqpJXrkC3083AClMIY+EMBClCAAhSgAAUoQIEJJzC8mEWXvgh7fiV9cSR8zcvY/rfO2TO62nQo3FuChjYdflE0Hwde0iBowvl5MyDGLLxR6lWGMYteHONphzELxizG0/PKvlKAAhSgAAUoQAEKjA+BYcyoMQ/xL8chInITXv/ZJmjEJA1h0IEIeXgdXkyKlAIV1nr8vqazn0ZrzYe4ehvA9Mex+XlNT5KG2MID4Vj2/IuImylVa/jM0K/+pDjQ9D7yDhsBKJH8sySofH2hGqqAalJAcZDjViA0DGM7PcMu263HySPCZxFIeOVVJCy1J2kIBwJkkC+KQ+auJCmR6qIOerO9nvjHjOqKSnF5F9W2TKQ+Zk/SsNcNDo9G6j+/Co2wb30ftSP6nzsZNCk5iBWiyBdzkXe8V0ddO81tClCAAhSgAAUoQAEKjHOB4cQsWnH6t+el2T0Xb8IrG51JGgJK4AwNXtr2OMKEnYYTONE8zqmG2n3GLIYqx3rjRYAxCzBmMV4eVvaTAhSgAAUoQAEKUGA8CgxjRg0AinV4OcX9sAMjl0OFetQDuNp0DcDiXgWvt7RK+1ODcH+vM46dMDwoRD2uC0uhdDkOTqK/NtQey4MegGztVjz3iIev2A8kEjRVDBwZoIIidKCC0jn9wSgkl7gptyITpw7GwfP3+M3Qbl+L7Bog6XAd0pcC5nOlOPDLd1B9wQwbgqFc/gSS0rYibmGwmws4D5nPlaGoXIv/c86xtEQwlIvC0O4s0n/rQh6itpT2Pw4NMk/kI26Gm1NuDol9LtFCd84Ii+A+Q4WVsc9h8/OxUA3cbTeteXGop99JKK5Lh7rbAkNVEYp+dRJnL5thC5JDtfxppO9IRrSnMXSboT/+Dkr/1V7H0e/H4rAxOcFzPdfutemh/ddSlJ2phaFJHDnkC5cgOjYJm5/SQOnr2E3VyN6eAa04E0wSikvSofb09TJZcM8sMbPDfL2Q6yBGeNtshNE+pbEsyMNnMVQBYbEhIc/iZrdrf1pgrJH2w+4PcT3h3O4J/thg61XXWcRvW6Ex2LxNjcp9eugOvwN9bDrUHobkt2uyIQpQgAIUoAAFKEABCtwNgaHGLNrq8YkQiwAQ+X0Ps2XM00Az8zS019uh+0Mj4pMi7sYI7+I1GbMwi/9GZMyCMYu7+DF0XJoxC4cE/1KAAhSgAAUoQAEKUGBcCQwvUcPbobpJtHhwuvDCshO4/gkabqzDrOl9GrttwOdXpWMh0x/sc3IS7HZU49hvbEI2DLYkxmBIr7BnxCG/Lm50sW6ZUPlaorRERM+VLTCeK0P2s7VoOXIUqe6STqwGlO5IQd45IVHA9ccC46W+x1zP+2G72wTtzkRkC8taQAb5QhVUU2wwXTKgumQXqsvfQfLBI0hdOnJvs2+adch7aQdKLwv33P5jNcPwQQG2nvsUmf+ajzjXtTSEIs1aZDyfjeoORwXpr63NgOryXFSXH0JM1lHkru9b0VHeBmE5j5SDtWJiiuMoYIP5ci0qhd+OYtRtVztPDbZl1SOvJ0kjAflvD5CkIbalRnpdHdIHa/dun+9JpACq6wxIX9p/rhqLoU5M0gBmI6xXYlQwFIsAXAJ0NbWwrI/t/3m+YsBZcYzeJVUNl0O5NgEx+/SoNgkJOpuhXjOk/8IMtxusTwEKUIACFKAABShAgbEh0Ddm0XIN0iQZszAn3FMXZ2HOXOnLJdamq2hHhDTDhqfiE+04Yxb2O8qYBWMWY+DDzZjFGLgJ7AIFKEABClCAAhSgAAV8FxjG0ieDXOy2cxaMsJn2NUxcqsz7/nJ7EKMZ5ftL0GD/trpY5HYnzh8ugk44dm84Vv9wnkvNybFpPnMS1cJQFRug6f9OeEQQ1NvrUFfn/C3e5Ptlyl6JF5M0lOszcbRKaqumIh8JQgALRhT/8iT6LbYgJErsel5K0giNRupbFag5Z+9HzQc4VZ6BmIG6sjS9V7/rDicNVLrPORt0++KlJI25Ccg/UYNT7x7F0ZJj+ODcKeQ/rQSswjqcu/slRPRpaBi7OuS+kIbSy1MRnXIIFWfsbuU5iBVyLKw67D1aKy6d0XORjmrsSpSSNGRLk5Ff/kGPQc17h5C6XHjxbkH17hTk1bkkf/Q0AJgqduB5e5KGcn0Git+rcbbxwSkc25+OWHEuX5dKA21a9SjYkoJSYSaN0BjkHMyAxvM0LAO1NPbOyaKx+mkpUcdUuAvZVabefWzWYtce8RML5ZZYRPfK6VFi5Xp7skvVbqQdMfS+l5Za5GUVQGhR9thz+LH4WendvN/3QjWIXSu1Wlmn790fv1+MDVKAAhSgAAUoQAEKUGAMCgwUs7gvSFrKFf+N9hue+y6fMUs62dIqTgbqueTEO8OYBWMWNYxZjJ0PNmMWY+desCcUoAAFKEABClCAAhTwQWDEEjW6zp8Tlz0BwhAZaQ9euHYsPB4vbghHoHCsTYdfZLyOkj+2o6uzEeVv/hOKPhayNIKw+LkUrOuf5+Ha0gTctqHxkk4a16pHoAoYP0O0WW1QbjqE4p1xUNlnFZApNEh/JUEaRE0tPu0zQYblgwLsPWMDgjTILDmE5OUKyBxjlgVDPjcCnuaEGLbMpVLsLRcSGdTI+HkGNK5LjATIoXklFxmPCMkSlcgrFxa1GIkfI4xtKiQXVuDQlmgo7MuEyObGYnOilKVj+10tGnsubYO+JA+VwkdkbhIKD6ZCM9c5I4IsPBrJB48ic4VQwYTSt94XkwB6qgsbbVrs3a0TX9ArNxXjaFYC1OHO7AJZsBzKx5KQ86yXs2mIyTYpKBZmBBHvY66UZNLrouN5R4bobYVIXigYGaF9LR6Je7QwWGwwn8lDYmK2mFgmeywDuZvUPcu5OEaseCoHOeKsFTbo30rE2m3FqG2zwXK5DBlPbZWSW+YmYN/O2AGWGAJ0u9ciKipK+l2zEYnbdqGgQg+T+1wcx+Xd/A1GRFS0dPzEpy7PlpuiPEQBClCAAhSgAAUoQIEJKDBgzGLefEhfF7HC0GCf6nMgg9tdcH5VZaCCE+UcYxaMWQCMWYylzzNjFmPpbrAvFKAABShAAQpQgAIU8FZgZBI1rPUoOtYg9WHB4/grD1OFznpiF/552yrMErI1ulqhO7ITL+44gNNfdAEhEYjbsQcvrfDlK/3eDnusl2tByyWpj5oF42s2EdljmcjfFo1gR6KFnVq2QAWNuG2B5RtXfwt0VZViwoBiU2r/5T1ci/p924ba44elJIb4zdjgbiaDAGE2BOmFtunMpzD6vQ9Cgwok7T+C1ChnsoXjMkqV/WW61eVNvK0WlSXSjA4xf78Zantih6OO+DdAgScSE6SEgYtanBVmuXD5MRwvgpgKFJSAjJT+iQUuRQffFJI0dsQj25Fs426ZlsFbGfslgtRIfaccOU+pIIMNhveykbh6Bda+UgqDNVicDeV3+xKg9HA/YvdUoHh7tLjsieVcAbauW4HVz+aiukMG1VOZOFbi4wwkHUYYzlWieHcy1q9JRMEFl2fEC02F0j5Vj9UAY5sXFViEAhSgAAUoQAEKUIACE0VgsJjF1GVY+aj0P/bt1UUoqe/snYjR1YmrH5Xg7ZOtE0XEx3EwZuEj2BCLM2YBxiy8f3YYs/DeiiUpQAEKUIACFKAABSgwRgSm+L0ft1txYn8h6r8Sli2Zh2e2rELIABeZEhSGmfJAtF7v8/2Tb0z43HAd1gXz7FOODtDIhDtlgcmeqKFUjK+1I6JXrYSiT5LGgLenuxGNVVKJmKWjtMZLT4eMuPiR9HJbsyii3ywIjmLSC+1a4FKTOHOB0jnxhKPIMP8qoZzjoVFxWZf03u03GXBWPKKBJrJ/coejsGxRFGJQhkoYYGoXZt9wnDGh8Zx96Y4Nq/ss0+Eo4+1fYYaItJ4kjYwj+0Y52cbbfvqr3FTIw5VQBhlgcF2uCTdx9dJFXO2IhtzTRzZgKoIfUiEitBa1Ha79scF0xQB9qw3K+e6eAzniDtYhzrUKAJvFhMYPynDoYClqO4TleXZgXnk+Yl1nhelTp9euQikmT+lQi5YvAXhbr1cj3KEABShAAQpQgAIUoMA4E/AqZhGIyKRNWPYfhTjf2Q5d4Q7oAoMQ8sAUoPsbdHb2iV+MM4Lhd5cxi+EbetMCYxZgzMKbB8WlDGMWLhjcpAAFKEABClCAAhSgwJgX8G+ixu1OnD+cC22zkKQRgmU/fQmrpnsy6ELz8b3YW9EsfjMl5OE4bP7JKihu1OP9X/0auuudaKjYi52GZ5CRvgqzRmbuD0+dGzvH/XuHxs64HD0xm5yzVIz6WG+i056vUFu4HYnljk71+Wu1F0IL2oUX7Hf7hba1076UiRLKgfoSHAbHfDRGkxnoWVSjHcY6aYzDm7HFAt3+RGRXCfOMCLOC7EOC20SDPp7jdddSi4IX0qTlXUKjkbovE0mPAI0nirD3oBaGMwXYWncWqYWFSF7UJ+FCmHVkp2BlAYJUiMvKQvoaBdrrjiF3dwFqL5Yh++la6N/MR+Ya7xb6kQUroF6fjkNRSqStF5Ze0aHguAGxz/ua8GSDrXu83hT2mwIUoAAFKEABClCAAj4I+BKzCIrE5r37oKl+F+WnGtDcaUXnDQBCwsZ3VVj+wyex2FyCA8KsGjNmYdKt2OpgH/V/xzsuPEp/GbPwHZoxC9/N/FGDMQt/KLINClCAAhSgAAUoQAEKjKqA/9IfxIDHz1D0sfA18yBE/vQNbI50twaAND5rTSFyxCSNIERu2Yd96esQMT0IIfM02PTGAezaGCHOpGE1/Bq57zaOKspYupjNdcmLsdSxCdYXW5sBhksefpss9tEGI/gJ12brAAAgAElEQVT+CTbwYQ0nGJr4JGjEj7kJZe+ehGmivvDvNqJs+1YxSUNY3qfi1CEkL1dAFqSAOj4TR48XI3WpDLDqUZCyG9V9ZszQ7YuXkjTmJuHQ8aPIXK9CcFAwlI8l49CpCuSsVwIwQvuakAji401RxCBurVTHVN8IISXHtx8FQjz/p9q3pliaAhSgAAUoQAEKUIACY1XAx5iFOIx7QxCxJgW79v0L3n77ben3Xw5g3z+9hPgfzsOtG/alT2bPwqyxOu4R7hdjFiMMbG+eMYuhODNmwZjFUJ4b1qEABShAAQpQgAIUoMDoCfgnUeN2O3SH7EkawkwaKXuQMkCSBtCKD081SKNUP4PN0X0XRwlE+JqXsXmF9PbQqtPBXnr0ZO7qlaYixP6leuOXwpoVE/gnYOqYGJwm6xTq6uoG+c1BjOeVRu7COIwwtg1wWUs7HE+Pco7rehwuz5fZUWKAdgY6NScO+wpToQ4CbGeykbZfB/NETNa4qEXeRQFCjfSX4/ov7xOsRvLPsxAjFLFWQlvjki7RdhJl5cISOzIk7EhFdN9nKECB2J05SBU/80YcrtYPJO7mXDCCXW+vmxJuD33ZglrxhBLjbIUlt8PhQQpQgAIUoAAFKEABCngU8Dlm4bEl54nbDfjE/r/ui9WRzuOTYsvl35SMWYzKHWfMYojMjFlIcIxZDPEBYjUKUIACFKAABShAAQqMrMDwEzXEgMcelOit9uVOBp5JQxrOdVy7Lm2FhYcj0MMY5WEPSmduN/eUd1u0qx31x3+Not/q0NzptsQ4O6jA3EekLtcajBBe8U7YH7kCKvu3+Y3XXF5uuwzYVlOJMpd9/23ORsRjUmu1TS3+a3akW5qvRqx4DR0MVzw/HbZLdagWy8VCPd+1U0qoVkj7pg8+dS4941rEh23ZomQUHkyCOCfEb9KQ8pZ+9J7ZbhssHZYRX7rDfM3xOVRD6WllklAFHKd0V1yeJ5MROtFzCVThfZZEcTgHhEE+V9qxXTL6NitGtwEXP5TqKiIjeha4cTTt6a+52SDdpyCVT4katg4LLJ4fO0+X43EKUIACFKAABShAAQrcHYEhxSwG72rryfehEyYUvXcxlj/qKaphb4cxi8FBx2oJxix8vzOMWTjNGLMAGLNwPg/cogAFKEABClCAAhSgQB+B4SVq9Ap4hEGzzZskDaEHgQi0X7n943rYJwvt0zUrrl61n7k3HHM8LvjaihN7d6Kw4kOc/30Jct4oQsPNPk2Nu91gLFmukXp9ohaNE3GGgp57EoEl66QdXdXZfi+obZeKkfJa2Qi9+JdDs1acAwG28iJoTT2dGtsbwdFYuUbqYtkv34fR3fPRbcT7hZKb7Ok4rOw1i4MM0asTIKYMXMpDXsXwBy5bmo78LI3YprEkBSlH7EkAIynZoUPu0yuwes1qrHquAEKu2Ij99Ky7XA3dRQ9ZCk2NcMyFoVkw29mVAJlkjVpU17lPRoK1EYYLUhXZIqXXyRZCDdPxAhwWb6EaSatVzusOuGVDo15KH8G6JYgYsKzjpAW6NzdixZrVWL0mEQUXPDg4ivMvBShAAQpQgAIUoAAF7rbAkGMWA3e8veYXyK1oFguFr4/HsgEnimTMYmDNsX6WMQuf7xBjFhIZYxaiA2MWPn+CWIECFKAABShAAQpQYBIJDD1RwzXggTAsS34RG+bcQmdnp/tfa5cLqwrfcyyNcl2L3P0n0NhmhaNEl/kqdEf2oMS+3kmQRoPFLrV7bV6vx3kpPiId/uo8zl7qVWJc7sgjNVALPbeWobJuIr8QlSE6NkmaiaBmL3Yc0cMiJB50W2CoyMbzKQXQz0hC0vqRuY3Bq5OQLMxkYNUh+++SUXDGCLPrC3+rBaZLlSh7Mw3F4tIXI9MP31oNRmxyqjiDBS7mIvGFAtQ2O58RW3MtCl5IRK7Q3yANsn4SbU8UcF5FFpWEVx8TUjVs0O1OxNbDOhjNzjZgNcN4phS73nWkHjjretpSrN+Hwk3CvBo26N96Hjv8kADi6VrCcdslHcqapBK2y8XY9RvDQMWHdU4eFQMpdcqE0u0pKDhncs4q0W2D6UIZsv8xV0rUCIpF3AqXtUhUK5Fgn2pDtzsF2RUG5zPWbYO5SYeC7TtQJj53SmyJET/5A/dX+FZOsx5lexIRv1sHG2TQZOUgwT4rx8CVAXRUQ1sulJIhYXX/58NtfZseunKjdMpqQHFWKUZO3G0PeJACFKAABShAAQpQgALeCwwrZtH/Ml1fteNq7QkUvvEidv6qAcL/vgc9moJXnpjVv7DrEcYsXDXG4TZjFr7fNMYsBDPGLBiz8P2zwxoUoAAFKEABClCAApNNoOd74j4PvO08Tvd8hb0d5w+/jvMDNfJoCt7+qWPd1kBEJr2Ex9v34/QXXbAatDiQqXVbO0j1DDKeHeD73tPDIL8XaL3tqB6GsDDH9jj+G/4EEtbkQl9lQ9l71di6PBa9JkXw99DatEhbl21foqFP4zXZWBuV7Ty4IhOnDsb59K1/Z+X+W7KlqcjZpENyiRH6t5Kx+i2XMqExyDmYDkV5KUpdDjs3zdBuX4vsGucR55YO2eui4Oy5Bpkn8hE3w1kCMjVSD+bCvD0D2iY9il/ZiGKX085NGZKfdO7d9a2Fych/swVpr2lhvFCMrU+56XVoDDLezkGs63gdHQ9QIC7nCMzbn0fBBQtqC9OwsdBx0uXvpmLkuOwOvCmDevtRFCNRvJe63fFIQzny1zsWBBm4tq9nZQvU0ASVSdMNCzNL1DfC/LzKb89lr/7MiEPWQSO2v1YKg1WP4m3r3T8nQWqkFmYhJtSltvCMHciA6YVcVHcYod2dCO1ul/M9m0rEvZmP5IU9B+wbeuRFJXt4/oXosApxO/chc633zqaqMmlZHMUWxEV5WI6lbzdkEVA/JkPZGXtCj+lTNLYBKnfPV9+63KcABShAAQpQgAIUoMBoCwwrZgHg+gm8/jOt+xlA7w1BxF9vxQtPzoN9JU/Po2PMwrONL2cYs2DMgjELz58YxiwAxiw8Px88QwEKUIACFKAABSgwZgWGPqPGcIcUNA/xrx3A6ylxiPxuCIJclnQNfCAE4Ysfx6ZX9yH3lVWYNVAvpy7D5m2rMEuYajQwBIv/7kXEhw+3c2Ohvss3EKoKUDTBZ9VQbyvG0awEqGfYXxqHKhGzKQdH38tFrPfvn4d24xQxyPzNKRRnJSN2uQrynkhbMJSLYpDwWg6OVnyI1EeG1vxI1VKsycSxE8XI3BQDlcMNMsgXCn0+hIoTuUiYP8BL+CAVkt8+hWP7M5CwWgVlT3KBY9z5OPa8F7M79BqgDOpt+cjsma0jDbk1Hpb76FVvCDszYpGTFdtvtpAhtORVFfmKdBytOIb87bGIXih3XjdIDtXyWCRnFaOiqhjJi/qby+YnIPdEBYqzkhCzSOmSdOViXXUMmWu8fNh7XfOoT0kawuwxpQeFmVJkiN2+EaoAr4YPQI7YrBzE9nw+vK3HchSgAAUoQAEKUIACFBj/AoEhIZi1YBnitryKfQf34WVvkjSEYTNmMf5vPoR/5zJm4euNZMyCMQspTsKYha+fHZanAAUoQAEKUIACFJg8AvfcuXPnzuQZ7ngbqQ21++Ox9V0TMDcJxSXpUPMl6Xi7iezvSAq4fqvq2UOoeyV6JK9219q2WWyQBfdPAPG9Qy7/TVmRiYoDcVB4naghXM11BpskHDqXjmif6vveY9agAAUoQAEKUIACFKAABcaqgMu/LxizGKs3if26mwKMWfio7/LfFMYsfLRjcQpQgAIUoAAFKECB8Sgw0FwV43E8E6zPMkSn5CBpLoCmUuwqrIV90YEJNk4OhwJDFGg3wyhWlSFBs2SIjYz9av5J0gBMFTuQJiR+BWmQ+ZqvSRoAutthbpK8ZE9rsIRJGmP/4WEPKUABClCAAhSgAAUoMGICjFmMGC0bnhgCjFn4dB8Zs/CJi4UpQAEKUIACFKAABSaAABM1xvpNDFIj/WAmNEGA6d00PF+oZ7LGWL9n7N+oCFgua5GdVQCTsIjHY1nYvNwfM06MStfvykVsF/KQtlsHG5RIOrgPcV6ustLTWYsB2j27UCCAB2mQ9ZNo5/IvPYW4QQEKUIACFKAABShAAQpMKgHGLCbV7eZgvRdgzMJ7K6EkYxa+ebE0BShAAQpQgAIUoMDEEODSJ+PkPgr/YEncUgojZIjbfwqZjwWPk56zmxTwp4AZ1Xu2o0hnhKFNml8meE0GirMSoOSyQJ6hm7XYmpiNWqsMmqxy5K/3PkvDXJWN7cVnYbxslpLEQmOQ8XYOEuYzMcYzOM9QgAIUoAAFKEABClBgcgkwZjG57jdH60mAMQtPMgMeZ8xiQB6epAAFKEABClCAAhSYuAJTJu7QJtbIZEvTcfSwDDuOR2CzhkkaE+vucjS+CFi+NMBgU0K1WoOExOcQt1TuS/XJWTb8CWRsq0VRcCpy1nmfpCFiWdthuGyDclEMNPFJeO5JNeRc8mRyPkccNQUoQAEKUIACFKAABTwIMGbhAYaHJ50AYxZDuOWMWQwBjVUoQAEKUIACFKAABSaCAGfUmAh3kWOgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUGBcCNw7LnrJTlKAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQIERELh16xaE39H6YaLGaEnzOhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKTHqBKZNewA7wywUPk4ICFKAABShAAQpQgAIUoAAFKECBERT4+yufjWDrE7fpvXv3TtzBcWQUoAAFKEABClCAAhSgAAUoQIExIvAP//APo9YTzqgxatS8EAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACk12AM2r0eQL+/u//3z5HuEsBClCAAhSgAAUoQAEKUIACFKDAcAR++cv/PZzqrGsXWLNmDS0oQAEKUIACFKAABShAAQpQgAIU8LNAVVWVn1scvDnOqDG4EUtQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABvwgwUcMvjGyEAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKDC7ARI3BjViCAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEK+EWAiRp+YWQjFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQYHABJmoMbsQSFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQwC8CTNTwC+PoNWK78RnSzl2D6c7oXZNXosBYFDBdrUHG1a/HYtfYJwpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIeBaZ4PMMTY05ASNJI+bAB+lsByJs1A7lz7hu0j+ams1hb2yqWi350HQ7Nm+a5TvuniPrgMoCFKN64BGrPJXnGk0CPocD4I9QtmeGpJI8PR8ByGTs+boEB15F271rkzx3guR7OdViXAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSggJ8FhpeocbsTzbrjeLfqPJqvW9EldG5qCMIXr8aGv12HxfJBetvZiNO/1ULX0IzWr8TaCAwJx+K18Xg2JgIhnO/DCfi1ETvsSRqa6LVeJWmIle9xNiG7N8C5w62REbgnADIANqH1e8aHt7ndiHcuX8HJLztgviV0PADy0Jn48bwFSJo7AwpvhtH9NfTNLag0fYFP/8sCwzfddt++ST/fQvvR75B93Vv+Wcj865WIu79P+eCFOLL6GyR+cBm62lNIA5M1+ghxlwIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUGKMCQ07U6Go+jX85WI7Gzj4ju9mJ5o+1+EX9B1j20zewOTKoTwFpt72mEHvfqUfnbQD3BiJkegjQ9Q06O5tRf+wA6v+gwUv/3yYsdl/dbZsT9mC3GQUf1UF3C1CqfoR9PsweIJ8WDECaUQMuSRsT1upuDyxoGqIB6ADIvElwuJv9vfM1Kv94Grv+LCVJObvSDXNHC8o+aUHZn2Yj58crEOtxwopuGJvqsaveCIOY5OFsZaS3ZGFLkB9tQXxtK3S19dD+xUrEeeznSPeG7VOAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhTwTmCIiRpXobUnaQTO1OCZn2zAsnkhCEQXOj87jaLDWjR+1YnzJSX43qIURE7t3ZkufRH2/KoeVgDha17G9r91zp7R1aZD4d4SNLTp8Iui+TjwkgaTO1ejG/rGOhRbAAQvRs4jcnHGht6i3u0ppw2+VIp3LbGUNwLR08Z21oDBcFZK0ghWIiPqYWyQT4NMSOa5IyRqXEPBuTpoLS3Yde4K1DELoOg36G7o9VVINgjZWoFQz1+Mrf/zO4gIug/BHpNU7sMT39+AGCFBa4Afy/VPsP78NWDKNCiEKUo8/Cjm/gD7/kuLtM9bkS30c/UCKJmQ5EGLhylAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAgbEgMMTFReYh/uU4RERuwus/2wSNmKQhDCcQIQ+vw4tJkVJyhbUev6/pO+VGK07/9ryYpIHFm/DKRmeShtjCDA1e2vY4woSdhhM40TwWmO5iHyxG5F0SDEOQHL0QKl9fQk+dBtVd7P6ku7TsPsweD4O+Y8bJz6TPZsLSSCSE2ZM0hL7fEwD5dCUyoxZKSUHm69B/239Qlj/XIUVI0pgyCxmPP4ni7y1AdPBASRpSG7LAQARPHeBX9g3Ofn5NLKx+ZD6iPSZ9CEUCoPnL5YgVUs7M9cj7wk1H+3edRyhAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQrcNYEhzqgBQLEOL6e473dg5HKoUI96AFebhBeui50F2+rxyXVpN/L7HmbLmKeBZuZpaK+3Q/eHRsQnRTjrT6qtbtRe0UMvLKMxZzGekw/4xtq9zJQAMenFgFAo+sxs4r6Cy9GuDlR+dglFTS0w3gRk98sR8z8X4+WFMyAfKGHkGzO0/2FA2bXrMHzTLb5Ml4fOxI/nLcDmee7rmpvOYm1tKzAzCqd+qITcpRvS5rfQfvQ7ZF8HNNF/g/y5HmYHcVzb1AaDxbGkRyCU06chLESFzGVz3MwM4byY+cvLOGAwQvdlJ4RJTGT3h2LlHBU2PzwHqkBnOY9bAbKeGU9m3+dNBY8tjeyJbzthtC9VIpvi4bmaOg1KAAYAN+/06c6dDhzTX4MNAUj4wQ+QEOqhjT7VvNm1tX2OPDOAKXOQFB4yeJWps7H5ETkq683QXTJAH74Eav91Z/DrswQFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABHwSGnqjh7UW6HC/L7RVarkGaJGMW5oR7amQW5swFcB2wNl1FOyKkGTY8FZ+ox2+24NgVIdFhGrYsnI3goYzzfiXyNwqv2337ufn1NWT8n3OovumsZ/vGjEr9H1Ddvhy/08xxk0wBmJpqkFjbIiY5OGsKS2m0oOyTFpT9aTYyY1Yg7gHnWX9tmb6oQeL5vtcWWu+C8UYHjDduoN1Tosadr6H942lk/1l4XgMgDw2F6p7bMN3oQLXhHKo/NyD5hzFIDRssA0CO9I0bke6vQY1UOy4zf1S3dSA9LLTflSw32sQkDeH5C+uz/IitzYjDXwuP5sOIe2gwk35ND3Dga7z/pyuwCblgKhVivEwuUoYvQEy9GdVfX0ZZ6yKovzOGk2QGGD1PUYACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACE19gZBI1bjuTM8JmzuyteF+QuCyKFf+N9hsA+px2FJbPmAWgFWhpFfI1JmWihrn1GqoFkGlKaPq/R3dQjcDfz5H2+27YEIokzQqkzpoGGbpg+Pwcnq9vhc1Uh3fa5yBdXJ/GeXnLn88hvrZFnGVBvegHyFwwC0rhRfudbpjaLiP7XANqb7Yg+8ynUPzVEkT78+n76gp2iUkaAVAvWomchXIoAu0JBHe6Yfn2axhv3PawLEk3dPWnkP3nbiB4AfJ/FAnN/fZx3fkWugt/QNqVDhR/VIeIdcu9Th5wyozBrYAZWL0gAGVXumH60zlkh6xE5nemOTv6lRG7Pm4R95WL5vRbfqSx3SgmU2C23PfleJxX6bdl+/KyNJsGZiN1vg8P/dRZiJ0DVF8DKtvakfWdWT0zm/S7CA9QgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUuIsC947EtbvOnxOXPRHSKyIjhYQLl5958zFP3LXC0HDV5YSHzdtdcKZ9eCgzIQ93o/G/WqWR+fll+OBcQpKGHKmrYpCumAaZsMzJPYFQLVAjfbpQuxvV7R29m+k2o0hcCgNQqn6Ewr+0J2kIpe4JgOKhh3Hox1HQCPtfX8ahL4TpGPz3YzZfF5eIAeYj/S9nOJM0hEvcE4Dg+0OgVoS6nQUENy5j7+fCzCVyZGhckjTEuvdBs/QHyBDWYrl1DXmf9xm3/4Ywyi0FIPqRHyFZXLKkE9r/ewqJHxth6OqG2fQpEk/XQXcLkCkikauS90l6+BamDsEL0Dwgg9F0Bbk1p7Gx4hiijgm//4a1p2uQ12SGue+SKQOOcmizaUhNBiLiL2ZIm1+Y0TjgdXiSAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgwN0T8H+ihrUeRccapBEteBx/1Xd5k6nLsPLRIPF8e3URSuo7eydidHXi6kclePukPUnh7tnc5St/jZb/krqgeTBklPsSgqQf/gjJ0/suaRGCCPu7cJNNelHv6JjtP6+hVMy9mI3N/V7s20tNm4OkBVKbemMrjI7KfvgrC3AsdWFB41e+NNiN2qbPYBKqzH8YG9ytL3NPCFbOlQZuMrX7td++9NTvZafIkbpmLXLmhUKGbhiu1iHx/X/DWt1lGG4FIvovf4TfrVgAZb+ZT2zo/Ebqje6T09ioq0dZSwfaZaFQTQ+F6n6IS92U1lbjb6oaoL/lXc+ds2nIkTSvb3LI4G0oQuwzcNzqgNHev8FrsQQFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKECB0RXo9wp2WJe/3YoT+wtRL7wov3centmyCv1TDAIRmbQJy/6jEOc726Er3AFdYBBCHpgCdH+Dzs7JOX9Gf/cumISlYQAog+7rf3pEj8xETFjfJI2BL2jssCfWzJyFaGG5E7c/AYj4i9nAlWvAja/RfgdQCrN1+OEneOYcJEy5hrJbrcg9/Tvo5i/G5nlzoH5gsHFYcLHVPjvE/5jeZ+YIZ8ekJIA24IYFpm5AOVizzqpjfCsA8gdCoJzSAUOvhIrbuHrDjKs3Z0De7/FzPpuYOgOpUZGIeygEchcTS/tnSPuoAfqOz5BycQY+jJzh0VYC+hYnL18Rl1ORLViMDQ8MgW1aiDhjiw5taLECcCxfM4SmWIUCFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKDASAn4L1HjdifOH86FtllI0gjBsp++hFXiMhluuh4Uic1790FT/S7KTzWgudOKTiEpQUjY+K4Ky3/4JBabS3BAmFVjxizMdNPEpDrk/3lP/M5302ZfyuTBEPfLi9ivGHyf462/BaZv/fgyfcosZDy+HDfPnoPW8i10hjrxF1NDEDN3IZLmz4F6mksmQY9ANzrtXa9t+AiJV3pO9N645Viq5Wu02/zY795XGd29rjYUfHgWxcIyJkLCxYooJMmBxi8+w169EQZTA7a2tSJ1lbvZVaSuatTLkaxw3FNn94PDHkaOuhXrPzHDdsWIs4tnIMYx6YmzWM+Wrd2AouvCrhzpCwZL6uip5mGjGzafllzx0AwPU4ACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFBgBAf8kaohJGj9D0cfC19iDEPnTN7A5UlrexGOf7w1BxJoU7FrjvkTDEfsMDbNnYZb7IpPmqO2WMOODuySDSUPg3UAfmIPMtbOQ1PoFjjV9jpMtnbDc7ES1oQ7VhnqoFv4AB9WzIPcwi4ftmw4YBl0yIxDB/vnUeDemkSp1pxNlH/0BxR2ATBGF8hVKKOwu6vlRODpHieKzf0BBuxkFH9Zh7rrliOmZKSUAIdMAOHJXPPRRMWMOVDDDgBY0dgIxcg8F8S1OfnZZWn7mOwvwhLvlZzxVdXt8GkImwj1yOzYepAAFKEABClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFxrvA8F9n3m6H7tAelOit9pk0vEjSGEztdgM+0UuFFqsjBys9Qc87X4YbrcLUE8Kb8XHw89+dMEPucVYNy7fCWISfYChHYmmKewKhVCxAhvB7pwvGti9w7E8NKDN3wXD5LHY8sA7F891baqL/Bvlz+88OYe/wxPpjNiLPLAxJjvQlziSNnkEGypG8IgqNFedQfesatNeXIOa7Dpv7IBeSKb4GdOJ0JI7jPbWljSkBCANgwMAzXDhn05iG1Ig5GHKehvVr1IpXDoGbST76dI67FKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABe6OwPAW1RiJJA0ArSffh06YnOPexVj+6ADrJQhmXe2oP/5rFP1Wh+bOu4M4Mledhrn2GQhqOzohrLYxln+U/2OO1L3rHWgUJgBx+9ONxv9skc7MCYPSXRnLt2h3dxuYvY4AACAASURBVPzrVlS7PeGusP2YkLTx0AJkrH4SuXOlY3pTG8T8hJ5q0xChkHZqHWug9Jy7Cxt3umG52TXiS3eYv7LYnyk5lO7zVoCp02Cnge6/XafPuA8Rf2GvdKNTmgnDHdXNb2EUj88YICmnC9X/YZ9NY+bDiPO0XJK79vscM3/VIY1pSqhPiRq2m12weHxm+1yEuxSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAWGKTD0RI1eSRph0Gzzw0waANprfoHcimZxWOHr47GsZ7kFdyNtxYm9O1FY8SHO/74EOW8UoeGmu3Lj8VggljxkX/TlizY03hnbYwj+i1mIEbt4BUVGDxkzFiMOXZGWcUmYO7PXzAnyIPs8Cl/fgLHvPbxlRt5HddDdGqLBPYGYHewpG+E+aMJniw3bPv8MWtd8hCFebsjVbrYi99S/YXXF+1hV1QD9UMfrTQd6ln9pgc7sIUvBcgP2iW2gebC3n+ohpZTE0WbEWYu7C3ZDf80oJXHIZyO6d3VnhRtXUPBnYTcACQvneJyJxVnB01Y3Gs3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" } }, "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "Visual [diff](https://www.diffchecker.com) of `freq_genres`, before and after adding 1grams ... `indie`, `rock`, and `trance` are new entrants, and genres like `pop`, `rap`, `house`, and `lo-fi` receive decent gains.\n", "\n", "![image.png](attachment:image.png)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "True 19871\n", "False 5289\n", "dtype: int64" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "genre_present = reviews_5yrs_df.apply(lambda x: pd.Series(x.spotify_genres).isin(np.array(list(freq_genres.keys()))).any(), axis=1)\n", "genre_present.value_counts()" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "Recovered **558** samples doing this." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "hidden": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/ubuntu/src/anaconda3/envs/fastai/lib/python3.6/site-packages/pandas/core/algorithms.py:761: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", " keys, counts = f(values, dropna)\n" ] }, { "data": { "text/plain": [ "[vogue] 15\n", "[neo-singer-songwriter] 15\n", "[fake] 12\n", "[electrofox] 12\n", "[filthstep] 11\n", "[dreamo] 10\n", "[mashup] 6\n", "[covertrance] 6\n", "[chillhop] 6\n", "[tracestep] 4\n", "[j-rap] 3\n", "[disco] 3\n", "[indiecoustica] 2\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", " ..\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[era, classical era, classical] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "[] 1\n", "Name: spotify_genres, Length: 5197, dtype: int64" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "genreless_df = reviews_5yrs_df.loc[genre_present == False]\n", "genreless_df.spotify_genres.value_counts()" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "A lot of genre lists are actually **empty** (_duh, forgot that was possible_)!" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "(151,\n", " [('hop', 27),\n", " ('canadian', 18),\n", " ('hip', 18),\n", " ('jazz', 16),\n", " ('tunes', 15),\n", " ('movie', 15),\n", " ('movie tunes', 15),\n", " ('neo-singer-songwriter', 15),\n", " ('vogue', 15),\n", " ('deep', 14),\n", " ('canadian folk', 13),\n", " ('folk', 13),\n", " ('classical', 12),\n", " ('fake', 12),\n", " ('electrofox', 12),\n", " ('band', 11),\n", " ('filthstep', 11),\n", " ('dreamo', 10),\n", " ('era', 10),\n", " ('roots reggae', 10),\n", " ('roots', 10),\n", " ('reggae', 10),\n", " ('vocal jazz', 9),\n", " ('vocal', 9),\n", " ('glitch hop', 9),\n", " ('glitch', 9),\n", " ('new', 8),\n", " ('disco', 8),\n", " ('destroy techno', 7),\n", " ('techno', 7),\n", " ('destroy', 7),\n", " ('wind', 7),\n", " ('marching', 7),\n", " ('wind ensemble', 7),\n", " ('concert band', 7),\n", " ('marching band', 7),\n", " ('concert', 7),\n", " ('ensemble', 7),\n", " ('norwegian jazz', 6),\n", " ('norwegian', 6),\n", " ('chillhop', 6),\n", " ('mashup', 6),\n", " ('covertrance', 6),\n", " ('deep new americana', 5),\n", " ('americana', 5),\n", " ('big', 5),\n", " ('minimal', 5),\n", " ('minimal wave', 5),\n", " ('wave', 5),\n", " ('grave', 5),\n", " ('grave wave', 5),\n", " ('brazilian hip hop', 5),\n", " ('brazilian', 5),\n", " ('classical era', 5),\n", " ('violin', 5),\n", " ('romantic era', 5),\n", " ('romantic', 5),\n", " ('post-disco', 5),\n", " ('belgian', 4),\n", " ('belgian hip hop', 4),\n", " ('punk', 4),\n", " ('swing', 4),\n", " ('tracestep', 4),\n", " ('deep trap', 4),\n", " ('trap', 4),\n", " ('drill', 4),\n", " ('canadian hip hop', 4),\n", " ('drone', 3),\n", " ('warm drone', 3),\n", " ('warm', 3),\n", " ('j-rap', 3),\n", " ('big band', 3),\n", " ('adult', 3),\n", " ('christmas', 3),\n", " ('listening', 3),\n", " ('easy listening', 3),\n", " ('adult standards', 3),\n", " ('standards', 3),\n", " ('lounge', 3),\n", " ('easy', 3),\n", " ('cabaret', 3),\n", " ('abstractro', 3),\n", " ('weird', 3),\n", " ('america', 3),\n", " ('new weird america', 3),\n", " ('up', 3),\n", " ('jump up', 3),\n", " ('jump', 3),\n", " ('idm', 3),\n", " ('ambient', 3),\n", " ('ambient idm', 3),\n", " ('dance', 3),\n", " ('emo', 2),\n", " ('emo punk', 2),\n", " ('vancouver', 2),\n", " ('vancouver punk', 2),\n", " ('deep underground hip hop', 2),\n", " ('underground', 2),\n", " ('indiecoustica', 2),\n", " ('deep big room', 2),\n", " ('room', 2),\n", " ('contemporary classical', 2),\n", " ('modern', 2),\n", " ('early modern classical', 2),\n", " ('contemporary', 2),\n", " ('early', 2),\n", " ('belly dance', 2),\n", " ('world', 2),\n", " ('belly', 2),\n", " ('fusion', 2),\n", " ('world fusion', 2),\n", " ('canadian indigenous', 1),\n", " ('indigenous', 1),\n", " ('italian alternative', 1),\n", " ('alternative', 1),\n", " ('italian', 1),\n", " ('gamecore', 1),\n", " ('australian hip hop', 1),\n", " ('australian', 1),\n", " ('slovak hip hop', 1),\n", " ('slovak', 1),\n", " ('classic', 1),\n", " ('classic soundtrack', 1),\n", " ('soundtrack', 1),\n", " ('retro', 1),\n", " ('deep chiptune', 1),\n", " ('retro electro', 1),\n", " ('electro', 1),\n", " ('chiptune', 1),\n", " ('danish hip hop', 1),\n", " ('danish', 1),\n", " ('albanian', 1),\n", " ('albanian hip hop', 1),\n", " ('brass', 1),\n", " ('brass band', 1),\n", " ('gqom', 1),\n", " ('ska', 1),\n", " ('gypsy jazz', 1),\n", " ('gypsy', 1),\n", " ('jazz guitar', 1),\n", " ('guitar', 1),\n", " ('cool', 1),\n", " ('bebop', 1),\n", " ('cool jazz', 1),\n", " ('kids dance party', 1),\n", " ('kids', 1),\n", " ('music', 1),\n", " ('party', 1),\n", " (\"children's music\", 1),\n", " (\"children's\", 1),\n", " ('grime', 1)])" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "flat_genreless = [genre for ndarray in list(genreless_df.spotify_genres) for genre in list(ndarray)]\n", "c2 = Counter(flat_genreless)\n", "len(c2), c2.most_common()" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "No other 1gram genres come close to 90 samples." ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "## Add significant n-gram genres to still-genreless samples" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "119 [canadian indigenous, indigenous, canadian]\n", "7102 [canadian folk, canadian, folk]\n", "7103 [canadian folk, canadian, folk]\n", "7104 [canadian folk, canadian, folk]\n", "7105 [canadian folk, canadian, folk]\n", "9055 [canadian folk, canadian, folk]\n", "9056 [canadian folk, canadian, folk]\n", "9057 [canadian folk, canadian, folk]\n", "9058 [canadian folk, canadian, folk]\n", "16398 [canadian folk, canadian, folk]\n", "16510 [canadian hip hop, hip, canadian, hop]\n", "16511 [canadian hip hop, hip, canadian, hop]\n", "16512 [canadian hip hop, hip, canadian, hop]\n", "16513 [canadian hip hop, hip, canadian, hop]\n", "19553 [canadian folk, canadian, folk]\n", "19554 [canadian folk, canadian, folk]\n", "19555 [canadian folk, canadian, folk]\n", "19556 [canadian folk, canadian, folk]\n", "Name: spotify_genres, dtype: object" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "genreless_df.loc[genreless_df.apply(lambda x: pd.Series(x.spotify_genres).isin(['canadian']).any(), axis=1) == True, 'spotify_genres']" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "Let's special case the 2-gram 'hip hop'" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "1212" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "freq_genres.get('hip hop')" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "hidden": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/ubuntu/src/anaconda3/envs/fastai/lib/python3.6/site-packages/ipykernel_launcher.py:2: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n", " \n" ] }, { "data": { "text/plain": [ "15 []\n", "16 []\n", "22 []\n", "47 []\n", "48 []\n", "49 []\n", "50 []\n", "51 []\n", "52 []\n", "53 []\n", "64 []\n", "65 []\n", "68 []\n", "69 []\n", "70 []\n", "78 []\n", "79 []\n", "80 []\n", "81 []\n", "82 []\n", "83 []\n", "84 []\n", "85 []\n", "86 []\n", "89 []\n", "90 []\n", "91 []\n", "92 []\n", "93 []\n", "94 []\n", " ... \n", "24972 []\n", "24973 []\n", "24974 []\n", "24975 []\n", "24976 []\n", "24977 []\n", "24978 []\n", "24979 []\n", "24983 [roots reggae, roots, reggae]\n", "24988 []\n", "25005 []\n", "25006 []\n", "25011 []\n", "25012 []\n", "25013 []\n", "25024 []\n", "25025 []\n", "25043 [roots reggae, roots, reggae]\n", "25044 [roots reggae, roots, reggae]\n", "25045 [roots reggae, roots, reggae]\n", "25046 [roots reggae, roots, reggae]\n", "25047 [roots reggae, roots, reggae]\n", "25054 []\n", "25060 []\n", "25061 []\n", "25071 []\n", "25150 [era, violin, romantic era, romantic, classical]\n", "25151 [era, violin, romantic era, romantic, classical]\n", "25152 [era, violin, romantic era, romantic, classical]\n", "25153 [post-disco, disco]\n", "Name: spotify_genres, Length: 5289, dtype: object" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def addHipHop(genres):\n", " if 'hip' in genres and 'hop' in genres:\n", " return np.array(np.append(genres, ['hip hop']))\n", " return genres\n", "\n", "reviews_5yrs_df.loc[genre_present == False, 'spotify_genres'] = reviews_5yrs_df.loc[genre_present == False, 'spotify_genres'].apply(addHipHop)\n", "reviews_5yrs_df.loc[genre_present == False].spotify_genres" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "[('vapor soul', 4344),\n", " ('indie poptimism', 3886),\n", " ('pop', 3799),\n", " ('indietronica', 3462),\n", " ('electropop', 3406),\n", " ('indie r&b', 3242),\n", " ('tropical house', 2359),\n", " ('modern rock', 2171),\n", " ('indie psych-rock', 1942),\n", " ('indie pop', 1845),\n", " ('shimmer pop', 1827),\n", " ('edm', 1826),\n", " ('chillwave', 1705),\n", " ('rap', 1452),\n", " ('indie electro-pop', 1451),\n", " ('alternative dance', 1418),\n", " ('metropopolis', 1303),\n", " ('hip hop', 1230),\n", " ('pop rap', 1174),\n", " ('nu disco', 1086),\n", " ('dance pop', 1054),\n", " ('chamber pop', 996),\n", " ('aussietronica', 973),\n", " ('art pop', 973),\n", " ('house', 917),\n", " ('vapor twitch', 915),\n", " ('new rave', 907),\n", " ('indie folk', 886),\n", " ('indie rock', 885),\n", " ('vapor pop', 808),\n", " ('electro house', 752),\n", " ('indie anthem-folk', 649),\n", " ('gauze pop', 647),\n", " ('escape room', 641),\n", " ('post-teen pop', 606),\n", " ('folk-pop', 586),\n", " ('deep australian indie', 572),\n", " ('electronic trap', 570),\n", " ('southern hip hop', 544),\n", " ('trap music', 544),\n", " ('neo-psychedelic', 503),\n", " ('big room', 498),\n", " ('underground hip hop', 497),\n", " ('filter house', 474),\n", " ('dance-punk', 459),\n", " ('deep tropical house', 454),\n", " ('electronic', 454),\n", " ('brostep', 446),\n", " ('chamber psych', 409),\n", " ('stomp and holler', 408),\n", " ('deep house', 408),\n", " ('downtempo', 404),\n", " ('r&b', 401),\n", " ('australian dance', 386),\n", " ('freak folk', 384),\n", " ('tropical pop edm', 377),\n", " ('nu gaze', 372),\n", " ('bass trap', 368),\n", " ('progressive house', 359),\n", " ('neo soul', 340),\n", " ('brooklyn indie', 336),\n", " ('dream pop', 323),\n", " ('future garage', 321),\n", " ('conscious hip hop', 314),\n", " ('gangster rap', 307),\n", " ('preverb', 291),\n", " ('alternative hip hop', 284),\n", " ('swedish electropop', 273),\n", " ('microhouse', 269),\n", " ('modern alternative rock', 268),\n", " ('progressive electro house', 267),\n", " ('indie', 264),\n", " ('neo-synthpop', 264),\n", " ('deep groove house', 264),\n", " ('bass music', 256),\n", " ('urban contemporary', 253),\n", " ('trip hop', 239),\n", " ('norwegian pop', 232),\n", " ('ninja', 232),\n", " ('trap soul', 225),\n", " ('complextro', 221),\n", " ('shiver pop', 218),\n", " ('la indie', 212),\n", " ('garage rock', 207),\n", " ('alt-indie rock', 205),\n", " ('disco house', 205),\n", " ('noise pop', 203),\n", " ('australian alternative rock', 199),\n", " ('lo-fi', 192),\n", " ('wonky', 189),\n", " ('catstep', 184),\n", " ('danish electro-pop', 184),\n", " ('indie garage rock', 181),\n", " ('funk', 177),\n", " ('garage psych', 172),\n", " ('indie dream pop', 168),\n", " ('alternative rock', 165),\n", " ('dirty south rap', 162),\n", " ('chillstep', 161),\n", " ('swedish synthpop', 159),\n", " ('soul', 159),\n", " ('neo mellow', 153),\n", " ('intelligent dance music', 152),\n", " ('new americana', 142),\n", " ('nu jazz', 142),\n", " ('canadian pop', 142),\n", " ('moombahton', 141),\n", " ('float house', 139),\n", " ('etherpop', 138),\n", " ('minimal techno', 134),\n", " ('fluxwork', 128),\n", " ('swedish pop', 127),\n", " ('indie jazz', 124),\n", " ('swedish indie pop', 124),\n", " ('rock', 123),\n", " ('big beat', 117),\n", " ('french indietronica', 115),\n", " ('electroclash', 108),\n", " ('vaporwave', 107),\n", " ('australian pop', 101),\n", " ('hip pop', 98),\n", " ('future funk', 97),\n", " ('balearic', 97),\n", " ('trance', 96),\n", " ('alternative r&b', 96),\n", " ('compositional ambient', 95),\n", " ('permanent wave', 92),\n", " ('swedish soul', 91),\n", " ('shimmer psych', 90),\n", " ('hardcore hip hop', 90)]" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "c1 = Counter([g for gg in reviews_5yrs_df.spotify_genres for g in gg])\n", "freq_genres = Counter({k:v for (k,v) in c1.items() if v >= freq_threshold})\n", "freq_genres.most_common()" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "`('hip hop', 1212)` => `('hip hop', 1230)`" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "True 19889\n", "False 5271\n", "dtype: int64" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "genre_present = reviews_5yrs_df.apply(lambda x: pd.Series(x.spotify_genres).isin(np.array(list(freq_genres.keys()))).any(), axis=1)\n", "genre_present.value_counts()" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "**18** more samples recovered with generic genre `hip hop`." ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "## Remove samples that still don't have a top genre\n", "\n", "Remove the remaining genreless samples (including empty ones that Spotify didn't have genre info for)." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "(135,\n", " [('jazz', 16),\n", " ('tunes', 15),\n", " ('movie', 15),\n", " ('movie tunes', 15),\n", " ('neo-singer-songwriter', 15),\n", " ('vogue', 15),\n", " ('canadian', 14),\n", " ('canadian folk', 13),\n", " ('folk', 13),\n", " ('deep', 12),\n", " ('classical', 12),\n", " ('fake', 12),\n", " ('electrofox', 12),\n", " ('band', 11),\n", " ('filthstep', 11),\n", " ('dreamo', 10),\n", " ('era', 10),\n", " ('roots reggae', 10),\n", " ('roots', 10),\n", " ('reggae', 10),\n", " ('vocal jazz', 9),\n", " ('vocal', 9),\n", " ('glitch hop', 9),\n", " ('glitch', 9),\n", " ('hop', 9),\n", " ('new', 8),\n", " ('disco', 8),\n", " ('destroy techno', 7),\n", " ('techno', 7),\n", " ('destroy', 7),\n", " ('wind', 7),\n", " ('marching', 7),\n", " ('wind ensemble', 7),\n", " ('concert band', 7),\n", " ('marching band', 7),\n", " ('concert', 7),\n", " ('ensemble', 7),\n", " ('norwegian jazz', 6),\n", " ('norwegian', 6),\n", " ('chillhop', 6),\n", " ('mashup', 6),\n", " ('covertrance', 6),\n", " ('deep new americana', 5),\n", " ('americana', 5),\n", " ('big', 5),\n", " ('minimal', 5),\n", " ('minimal wave', 5),\n", " ('wave', 5),\n", " ('grave', 5),\n", " ('grave wave', 5),\n", " ('classical era', 5),\n", " ('violin', 5),\n", " ('romantic era', 5),\n", " ('romantic', 5),\n", " ('post-disco', 5),\n", " ('punk', 4),\n", " ('swing', 4),\n", " ('tracestep', 4),\n", " ('deep trap', 4),\n", " ('trap', 4),\n", " ('drill', 4),\n", " ('drone', 3),\n", " ('warm drone', 3),\n", " ('warm', 3),\n", " ('j-rap', 3),\n", " ('big band', 3),\n", " ('adult', 3),\n", " ('christmas', 3),\n", " ('listening', 3),\n", " ('easy listening', 3),\n", " ('adult standards', 3),\n", " ('standards', 3),\n", " ('lounge', 3),\n", " ('easy', 3),\n", " ('cabaret', 3),\n", " ('abstractro', 3),\n", " ('weird', 3),\n", " ('america', 3),\n", " ('new weird america', 3),\n", " ('up', 3),\n", " ('jump up', 3),\n", " ('jump', 3),\n", " ('idm', 3),\n", " ('ambient', 3),\n", " ('ambient idm', 3),\n", " ('dance', 3),\n", " ('emo', 2),\n", " ('emo punk', 2),\n", " ('vancouver', 2),\n", " ('vancouver punk', 2),\n", " ('indiecoustica', 2),\n", " ('deep big room', 2),\n", " ('room', 2),\n", " ('contemporary classical', 2),\n", " ('modern', 2),\n", " ('early modern classical', 2),\n", " ('contemporary', 2),\n", " ('early', 2),\n", " ('belly dance', 2),\n", " ('world', 2),\n", " ('belly', 2),\n", " ('fusion', 2),\n", " ('world fusion', 2),\n", " ('canadian indigenous', 1),\n", " ('indigenous', 1),\n", " ('italian alternative', 1),\n", " ('alternative', 1),\n", " ('italian', 1),\n", " ('gamecore', 1),\n", " ('classic', 1),\n", " ('classic soundtrack', 1),\n", " ('soundtrack', 1),\n", " ('retro', 1),\n", " ('deep chiptune', 1),\n", " ('retro electro', 1),\n", " ('electro', 1),\n", " ('chiptune', 1),\n", " ('brass', 1),\n", " ('brass band', 1),\n", " ('gqom', 1),\n", " ('ska', 1),\n", " ('gypsy jazz', 1),\n", " ('gypsy', 1),\n", " ('jazz guitar', 1),\n", " ('guitar', 1),\n", " ('cool', 1),\n", " ('bebop', 1),\n", " ('cool jazz', 1),\n", " ('kids dance party', 1),\n", " ('kids', 1),\n", " ('music', 1),\n", " ('party', 1),\n", " (\"children's music\", 1),\n", " (\"children's\", 1),\n", " ('grime', 1)])" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "genreless_df = reviews_5yrs_df.loc[genre_present == False]\n", "\n", "final_genreless = [genre for ndarray in list(genreless_df.spotify_genres) for genre in list(ndarray)]\n", "c3 = Counter(final_genreless)\n", "len(c3), c3.most_common()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "28" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "c1.get('jazz')" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "hidden": true, "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "5030" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(genreless_df.spotify_genres.loc[genreless_df.spotify_genres.apply(lambda x: len(x) == 0)])" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "Removing **5030** empty-genre samples and **241** genreless samples." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/html": [ 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artistartist_idauthorcontentdate_publisheddekdescdirectiondomainerror...loudnessmodespeechinessacousticnessinstrumentalnesslivenessvalencetempoduration_mstime_signature
0Mt. Joy69tiO1fG8VWduDl3ji2qhINoneNew Music\\nMt. Joy reached out to us with the ...2017-11-20T13:33:10.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.buffablog.comNaN...-6.2311.00.03230.0009210.0000000.07800.178144.458199827.04.0
1Mt. Joy69tiO1fG8VWduDl3ji2qhIMartinFolk rockers Mt. Joy have debuted their new so...2017-11-16T00:00:00.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.discobelle.netNaN...-6.2311.00.03230.0009210.0000000.07800.178144.458199827.04.0
2Mt. Joy69tiO1fG8VWduDl3ji2qhINaskoYou know we're digging Mt. Joy.\\nTheir new sin...2017-11-14T14:30:26.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.stereofox.comNaN...-6.2311.00.03230.0009210.0000000.07800.178144.458199827.04.0
3Mt. Joy69tiO1fG8VWduDl3ji2qhID & dNothing against the profession, but the U.S. h...2018-06-20T10:53:00.000ZNaN“Silver Lining” is the fourth released single ...ltrindieobsessive.blogspot.comNaN...-6.2311.00.03230.0009210.0000000.07800.178144.458199827.04.0
4Opia70zHrrrPfBkVV44AEhFyyhNat MorawskiConnecticut duo Opia have released a guitar he...2018-05-24T00:00:00.000ZNaN\\n\\nI don’t know why but this feels like a bre...ltracidstag.comNaN...-6.5751.00.10200.1900000.0000340.06250.58287.974223814.04.0
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5 rows × 45 columns

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" ], "text/plain": [ " artist artist_id author \\\n", "0 Mt. Joy 69tiO1fG8VWduDl3ji2qhI None \n", "1 Mt. Joy 69tiO1fG8VWduDl3ji2qhI Martin \n", "2 Mt. Joy 69tiO1fG8VWduDl3ji2qhI Nasko \n", "3 Mt. Joy 69tiO1fG8VWduDl3ji2qhI D & d \n", "4 Opia 70zHrrrPfBkVV44AEhFyyh Nat Morawski \n", "\n", " content \\\n", "0 New Music\\nMt. Joy reached out to us with the ... \n", "1 Folk rockers Mt. Joy have debuted their new so... \n", "2 You know we're digging Mt. Joy.\\nTheir new sin... \n", "3 Nothing against the profession, but the U.S. h... \n", "4 Connecticut duo Opia have released a guitar he... \n", "\n", " date_published dek \\\n", "0 2017-11-20T13:33:10.000Z NaN \n", "1 2017-11-16T00:00:00.000Z NaN \n", "2 2017-11-14T14:30:26.000Z NaN \n", "3 2018-06-20T10:53:00.000Z NaN \n", "4 2018-05-24T00:00:00.000Z NaN \n", "\n", " desc direction \\\n", "0 “Silver Lining” is the fourth released single ... ltr \n", "1 “Silver Lining” is the fourth released single ... ltr \n", "2 “Silver Lining” is the fourth released single ... ltr \n", "3 “Silver Lining” is the fourth released single ... ltr \n", "4 \\n\\nI don’t know why but this feels like a bre... ltr \n", "\n", " domain error ... loudness mode \\\n", "0 www.buffablog.com NaN ... -6.231 1.0 \n", "1 www.discobelle.net NaN ... -6.231 1.0 \n", "2 www.stereofox.com NaN ... -6.231 1.0 \n", "3 indieobsessive.blogspot.com NaN ... -6.231 1.0 \n", "4 acidstag.com NaN ... -6.575 1.0 \n", "\n", " speechiness acousticness instrumentalness liveness valence tempo \\\n", "0 0.0323 0.000921 0.000000 0.0780 0.178 144.458 \n", "1 0.0323 0.000921 0.000000 0.0780 0.178 144.458 \n", "2 0.0323 0.000921 0.000000 0.0780 0.178 144.458 \n", "3 0.0323 0.000921 0.000000 0.0780 0.178 144.458 \n", "4 0.1020 0.190000 0.000034 0.0625 0.582 87.974 \n", "\n", " duration_ms time_signature \n", "0 199827.0 4.0 \n", "1 199827.0 4.0 \n", "2 199827.0 4.0 \n", "3 199827.0 4.0 \n", "4 223814.0 4.0 \n", "\n", "[5 rows x 45 columns]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "reviews_5yrs_df = reviews_5yrs_df.drop(genreless_df.index)\n", "reviews_5yrs_df.head()" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "True 19889\n", "dtype: int64" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "c1 = Counter([g for gg in reviews_5yrs_df.spotify_genres for g in gg])\n", "freq_genres = Counter({k:v for (k,v) in c1.items() if v >= freq_threshold})\n", "genre_present = reviews_5yrs_df.apply(lambda x: pd.Series(x.spotify_genres).isin(np.array(list(freq_genres.keys()))).any(), axis=1)\n", "genre_present.value_counts()" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "[(1, ('vapor soul', 4344)),\n", " (2, ('indie poptimism', 3886)),\n", " (3, ('pop', 3799)),\n", " (4, ('indietronica', 3462)),\n", " (5, ('electropop', 3406)),\n", " (6, ('indie r&b', 3242)),\n", " (7, ('tropical house', 2359)),\n", " (8, ('modern rock', 2171)),\n", " (9, ('indie psych-rock', 1942)),\n", " (10, ('indie pop', 1845)),\n", " (11, ('shimmer pop', 1827)),\n", " (12, ('edm', 1826)),\n", " (13, ('chillwave', 1705)),\n", " (14, ('rap', 1452)),\n", " (15, ('indie electro-pop', 1451)),\n", " (16, ('alternative dance', 1418)),\n", " (17, ('metropopolis', 1303)),\n", " (18, ('hip hop', 1230)),\n", " (19, ('pop rap', 1174)),\n", " (20, ('nu disco', 1086)),\n", " (21, ('dance pop', 1054)),\n", " (22, ('chamber pop', 996)),\n", " (23, ('aussietronica', 973)),\n", " (24, ('art pop', 973)),\n", " (25, ('house', 917)),\n", " (26, ('vapor twitch', 915)),\n", " (27, ('new rave', 907)),\n", " (28, ('indie folk', 886)),\n", " (29, ('indie rock', 885)),\n", " (30, ('vapor pop', 808)),\n", " (31, ('electro house', 752)),\n", " (32, ('indie anthem-folk', 649)),\n", " (33, ('gauze pop', 647)),\n", " (34, ('escape room', 641)),\n", " (35, ('post-teen pop', 606)),\n", " (36, ('folk-pop', 586)),\n", " (37, ('deep australian indie', 572)),\n", " (38, ('electronic trap', 570)),\n", " (39, ('southern hip hop', 544)),\n", " (40, ('trap music', 544)),\n", " (41, ('neo-psychedelic', 503)),\n", " (42, ('big room', 498)),\n", " (43, ('underground hip hop', 497)),\n", " (44, ('filter house', 474)),\n", " (45, ('dance-punk', 459)),\n", " (46, ('deep tropical house', 454)),\n", " (47, ('electronic', 454)),\n", " (48, ('brostep', 446)),\n", " (49, ('chamber psych', 409)),\n", " (50, ('stomp and holler', 408)),\n", " (51, ('deep house', 408)),\n", " (52, ('downtempo', 404)),\n", " (53, ('r&b', 401)),\n", " (54, ('australian dance', 386)),\n", " (55, ('freak folk', 384)),\n", " (56, ('tropical pop edm', 377)),\n", " (57, ('nu gaze', 372)),\n", " (58, ('bass trap', 368)),\n", " (59, ('progressive house', 359)),\n", " (60, ('neo soul', 340)),\n", " (61, ('brooklyn indie', 336)),\n", " (62, ('dream pop', 323)),\n", " (63, ('future garage', 321)),\n", " (64, ('conscious hip hop', 314)),\n", " (65, ('gangster rap', 307)),\n", " (66, ('preverb', 291)),\n", " (67, ('alternative hip hop', 284)),\n", " (68, ('swedish electropop', 273)),\n", " (69, ('microhouse', 269)),\n", " (70, ('modern alternative rock', 268)),\n", " (71, ('progressive electro house', 267)),\n", " (72, ('indie', 264)),\n", " (73, ('neo-synthpop', 264)),\n", " (74, ('deep groove house', 264)),\n", " (75, ('bass music', 256)),\n", " (76, ('urban contemporary', 253)),\n", " (77, ('trip hop', 239)),\n", " (78, ('norwegian pop', 232)),\n", " (79, ('ninja', 232)),\n", " (80, ('trap soul', 225)),\n", " (81, ('complextro', 221)),\n", " (82, ('shiver pop', 218)),\n", " (83, ('la indie', 212)),\n", " (84, ('garage rock', 207)),\n", " (85, ('alt-indie rock', 205)),\n", " (86, ('disco house', 205)),\n", " (87, ('noise pop', 203)),\n", " (88, ('australian alternative rock', 199)),\n", " (89, ('lo-fi', 192)),\n", " (90, ('wonky', 189)),\n", " (91, ('catstep', 184)),\n", " (92, ('danish electro-pop', 184)),\n", " (93, ('indie garage rock', 181)),\n", " (94, ('funk', 177)),\n", " (95, ('garage psych', 172)),\n", " (96, ('indie dream pop', 168)),\n", " (97, ('alternative rock', 165)),\n", " (98, ('dirty south rap', 162)),\n", " (99, ('chillstep', 161)),\n", " (100, ('swedish synthpop', 159)),\n", " (101, ('soul', 159)),\n", " (102, ('neo mellow', 153)),\n", " (103, ('intelligent dance music', 152)),\n", " (104, ('new americana', 142)),\n", " (105, ('nu jazz', 142)),\n", " (106, ('canadian pop', 142)),\n", " (107, ('moombahton', 141)),\n", " (108, ('float house', 139)),\n", " (109, ('etherpop', 138)),\n", " (110, ('minimal techno', 134)),\n", " (111, ('fluxwork', 128)),\n", " (112, ('swedish pop', 127)),\n", " (113, ('indie jazz', 124)),\n", " (114, ('swedish indie pop', 124)),\n", " (115, ('rock', 123)),\n", " (116, ('big beat', 117)),\n", " (117, ('french indietronica', 115)),\n", " (118, ('electroclash', 108)),\n", " (119, ('vaporwave', 107)),\n", " (120, ('australian pop', 101)),\n", " (121, ('hip pop', 98)),\n", " (122, ('future funk', 97)),\n", " (123, ('balearic', 97)),\n", " (124, ('trance', 96)),\n", " (125, ('alternative r&b', 96)),\n", " (126, ('compositional ambient', 95)),\n", " (127, ('permanent wave', 92)),\n", " (128, ('swedish soul', 91)),\n", " (129, ('shimmer psych', 90)),\n", " (130, ('hardcore hip hop', 90))]" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(zip(range(1, len(freq_genres) + 1), freq_genres.most_common()))" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "## Count frequent genres per sample\n", "Since samples can have multiple genres, let's see how often this occurs with the 'top' genres." ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "First, let's remove all non-top genres." ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "(array(['deep new americana', 'folk-pop', 'indie pop', 'modern rock',\n", " 'new americana', 'stomp and holler'], dtype=object),\n", " array(['folk-pop', 'indie pop', 'modern rock', 'new americana',\n", " 'stomp and holler'], dtype=object))" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# scratchpad\n", "np.array(pd.Series(reviews_5yrs_df.spotify_genres[0])), np.array(pd.Series(reviews_5yrs_df.spotify_genres[0]).where(pd.Series(reviews_5yrs_df.spotify_genres[0]).isin(np.array(list(freq_genres.keys())))).dropna())" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "hidden": true }, "outputs": [], "source": [ "reviews_5yrs_df.spotify_genres = reviews_5yrs_df.apply(lambda x: np.array(pd.Series(x.spotify_genres).where(pd.Series(x.spotify_genres).isin(np.array(list(freq_genres.keys())))).dropna()), axis=1)" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "Now we can simply get genre counts per row in `spotify_genres`" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "[(1, 4479, 0.2251998592186636),\n", " (2, 2769, 0.13922268590678263),\n", " (3, 2629, 0.1321836190859269),\n", " (4, 2617, 0.13158027050128213),\n", " (5, 2199, 0.11056362813615567),\n", " (6, 1695, 0.08522298758107497),\n", " (7, 1139, 0.05726783649253356),\n", " (8, 849, 0.04268691236361808),\n", " (9, 457, 0.022977525265221982),\n", " (10, 331, 0.016642365126451807),\n", " (11, 187, 0.009402182110714466),\n", " (12, 174, 0.008748554477349289),\n", " (13, 128, 0.006435718236210971),\n", " (14, 80, 0.004022323897631856),\n", " (15, 45, 0.0022625571924179194),\n", " (16, 31, 0.0015586505103323445),\n", " (17, 27, 0.0013575343154507518),\n", " (18, 24, 0.001206697169289557),\n", " (19, 18, 0.0009050228769671677),\n", " (20, 10, 0.000502790487203982),\n", " (21, 1, 5.027904872039821e-05)]" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "num_genres_per = reviews_5yrs_df.spotify_genres.apply(len)\n", "list(zip(range(1, len(num_genres_per.value_counts()) + 1), num_genres_per.value_counts(), num_genres_per.value_counts() / sum(num_genres_per.value_counts())))" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/html": [ "
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artistsong_titlespotify_genres
1160DestroyerTinseltown Swimming In Blood[alternative dance, alternative rock, art pop,...
\n", "
" ], "text/plain": [ " artist song_title \\\n", "1160 Destroyer Tinseltown Swimming In Blood \n", "\n", " spotify_genres \n", "1160 [alternative dance, alternative rock, art pop,... " ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "reviews_5yrs_df.loc[reviews_5yrs_df.spotify_genres.apply(lambda x: len(x) == 21)][['artist', 'song_title', 'spotify_genres']]" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "[array(['alternative dance', 'alternative rock', 'art pop', 'chamber pop',\n", " 'chamber psych', 'chillwave', 'dream pop', 'folk-pop',\n", " 'freak folk', 'garage psych', 'indie folk', 'indie pop',\n", " 'indie rock', 'indietronica', 'lo-fi', 'modern rock',\n", " 'neo-psychedelic', 'noise pop', 'nu gaze', 'preverb',\n", " 'stomp and holler'], dtype=object)]" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(reviews_5yrs_df.loc[reviews_5yrs_df.spotify_genres.apply(lambda x: len(x) == 21), 'spotify_genres'])" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "Might try capping # of frequent genres per sample at **top 10** when conditioning." ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "0.9635476896777114" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cap = 10\n", "\n", "sum(num_genres_per.value_counts()[:cap] / sum(num_genres_per.value_counts()))" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "% matplotlib inline\n", "\n", "num_genres_per.hist(bins=len(num_genres_per.value_counts()))" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "('unique combinations of genres:', 1135)" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "'unique combinations of genres:', len(Counter([tuple(set(ndarray)) for ndarray in reviews_5yrs_df.spotify_genres]))" ] }, { "cell_type": "markdown", "metadata": { "hidden": true }, "source": [ "## New quilt revision (3)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/html": [ "
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artistartist_idauthorcontentdate_publisheddekdescdirectiondomainerror...loudnessmodespeechinessacousticnessinstrumentalnesslivenessvalencetempoduration_mstime_signature
0Mt. Joy69tiO1fG8VWduDl3ji2qhINoneNew Music\\nMt. Joy reached out to us with the ...2017-11-20T13:33:10.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.buffablog.comNaN...-6.2311.00.03230.0009210.0000000.07800.1780144.458199827.04.0
1Mt. Joy69tiO1fG8VWduDl3ji2qhIMartinFolk rockers Mt. Joy have debuted their new so...2017-11-16T00:00:00.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.discobelle.netNaN...-6.2311.00.03230.0009210.0000000.07800.1780144.458199827.04.0
2Mt. Joy69tiO1fG8VWduDl3ji2qhINaskoYou know we're digging Mt. Joy.\\nTheir new sin...2017-11-14T14:30:26.000ZNaN“Silver Lining” is the fourth released single ...ltrwww.stereofox.comNaN...-6.2311.00.03230.0009210.0000000.07800.1780144.458199827.04.0
3Mt. Joy69tiO1fG8VWduDl3ji2qhID & dNothing against the profession, but the U.S. h...2018-06-20T10:53:00.000ZNaN“Silver Lining” is the fourth released single ...ltrindieobsessive.blogspot.comNaN...-6.2311.00.03230.0009210.0000000.07800.1780144.458199827.04.0
4Opia70zHrrrPfBkVV44AEhFyyhNat MorawskiConnecticut duo Opia have released a guitar he...2018-05-24T00:00:00.000ZNaN\\n\\nI don’t know why but this feels like a bre...ltracidstag.comNaN...-6.5751.00.10200.1900000.0000340.06250.582087.974223814.04.0
5Opia70zHrrrPfBkVV44AEhFyyhAdeel AminiNow this is inventive. Not that we'd expect an...2018-05-17T11:30:22.000ZNaN\\n\\nI don’t know why but this feels like a bre...ltrpressplayok.comNaN...-6.5751.00.10200.1900000.0000340.06250.582087.974223814.04.0
6ELOHIM6wKxOKEA3K6R2UZ3COLXEYOblivious PopSince the very first release from Elohim about...2018-06-20T16:01:00.000ZNaN\\n\\n?\\n\\nltrwww.obliviouspop.comNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
7ELOHIM6wKxOKEA3K6R2UZ3COLXEYNoneNew Music\\nNow this is how you get a party sta...2018-05-09T22:44:56.000ZNaN\\n\\n?\\n\\nltrwww.buffablog.comNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
8ELOHIM6wKxOKEA3K6R2UZ3COLXEYNoneThis Friday, April 27th, ELOHIM releases her l...NoneNaN\\n\\n?\\n\\nltrwww.theautumnroses.comNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
9ELOHIM6wKxOKEA3K6R2UZ3COLXEYNoneWhat a long way Elohim has come since the rele...2018-04-24T17:12:03.000ZNaN\\n\\n?\\n\\nltrwww.highclouds.orgNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
10ELOHIM6wKxOKEA3K6R2UZ3COLXEYAcid StagLos Angeles artist ELOHIM will be releasing he...2018-04-24T00:00:00.000ZNaN\\n\\n?\\n\\nltracidstag.comNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
11ELOHIM6wKxOKEA3K6R2UZ3COLXEYAdeel AminiElohim is no stranger to full-pelt pop, and it...2018-04-23T21:35:58.000ZNaN\\n\\n?\\n\\nltrpressplayok.comNaN...-6.5601.00.03470.1390000.0000030.11100.2990120.046225531.04.0
12G Flip4SdIXLzfabqU61iK7SnKAUBreaking More Waves BlogIf you follow Breaking More Waves on Twitter, ...2018-06-20T08:00:00.000ZNaN\\n\\n?\\n\\nltrbreakingmorewaves.blogspot.comNaN...-5.8651.00.04460.4420000.0000020.07420.6090102.988217148.04.0
13G Flip4SdIXLzfabqU61iK7SnKAUNoneTags G Flip Georgia Flipo\\nBased in London, En...2018-05-18T11:25:00.000ZNaN\\n\\n?\\n\\nltrwww.highclouds.orgNaN...-5.8651.00.04460.4420000.0000020.07420.6090102.988217148.04.0
14G Flip4SdIXLzfabqU61iK7SnKAUAdeel AminiG Flip - or Georgia to her fam - should be a n...2018-05-16T16:32:46.000ZNaN\\n\\n?\\n\\nltrpressplayok.comNaN...-5.8651.00.04460.4420000.0000020.07420.6090102.988217148.04.0
17Junip7HcipAIJatVGT4U6HQrnFWNoneIf like me you were wondering what he was up t...NoneNaN\\n\\nThe subject of this song finds themself su...ltrwww.mp3hugger.comNaN...-8.0331.00.04170.4720000.5230000.11100.284090.377339293.04.0
18Kevin Morby6fxk3UXHTFYET8qCT9WlBFNoneBeautiful Strangers -Kevin Morby\\nKevin Morby'...NoneNaN\\n\\nAmazing\\n\\nltrnoondaytune.comNaN...-11.1271.00.04450.7620000.0689000.10500.8910100.042375903.04.0
19Kevin Morby6fxk3UXHTFYET8qCT9WlBFThe Listening Post BlogKevin Morby has released new single 'Beautiful...2016-10-27T17:34:33.000ZNaN\\n\\nAmazing\\n\\nltrthelisteningpostblog.wordpress.comNaN...-11.1271.00.04450.7620000.0689000.10500.8910100.042375903.04.0
20Cosmo's Midnight4VivsO1n4n2Mi2Btyb5gfLAdrienby Adrien * Published 19 February, 2018 * Upd...2018-02-19T20:22:54.000ZNaN\\n\\n?\\n\\nltrdoyoulikethatsong.comNaN...-11.8991.00.23500.1190000.0022700.07820.4420109.079241651.04.0
21Cosmo's Midnight4VivsO1n4n2Mi2Btyb5gfLZuliIt's been quite a while since these Cosmo's Mi...2018-02-17T11:37:47.000ZNaN\\n\\n?\\n\\nltrwww.stereofox.comNaN...-11.8991.00.23500.1190000.0022700.07820.4420109.079241651.04.0
23Teleman3wrtQM9ICPPeHwoc1GWiyVNoneLondon's very-own Teleman has unleashed their ...2018-05-16T00:00:00.000ZNaN\\n\\n?\\n\\nltrwww.wickeddchildd.comNaN...-8.7720.00.03160.0144000.3000000.22800.5620124.003293142.04.0
24RÜFÜS / RÜFÜS DU SOL5Pb27ujIyYb33zBqVysBkjAcid StagAussie lads R UFUS dropped a new tune over the...2018-05-28T00:00:00.000ZNaN\\n\\nRÜFÜS DU SOL’s first single from their upc...ltracidstag.comNaN...-6.9090.00.03160.0156000.1840000.18700.2050120.001238008.04.0
25RÜFÜS / RÜFÜS DU SOL5Pb27ujIyYb33zBqVysBkjErin MaherRecently I had a conversation with a few music...NoneNaN\\n\\nRÜFÜS DU SOL’s first single from their upc...ltrbeautifulbuzzz.comNaN...-6.9090.00.03160.0156000.1840000.18700.2050120.001238008.04.0
26Ben-Browning497VSHqaZA32b7tgCETFEHNoneBen Browning - \"Sunshine Baby\"\\nYou may know B...2018-05-29T23:12:32.000ZNaN\\n\\n?\\n\\nltrwww.weallwantsomeone.orgNaN...-8.3651.00.02760.0724000.0094500.14200.7730108.980214400.04.0
27Ben-Browning497VSHqaZA32b7tgCETFEHMadison BlomKicking off his forthcoming album with the rel...2018-05-22T12:35:51.000ZNaN\\n\\n?\\n\\nltrimperfectfifth.comNaN...-8.3651.00.02760.0724000.0094500.14200.7730108.980214400.04.0
28Ben-Browning497VSHqaZA32b7tgCETFEHNoneThree years after Turns, Australian Melbourne-...2018-05-20T08:49:53.000ZNaN\\n\\n?\\n\\nltrsonofmarketing.comNaN...-8.3651.00.02760.0724000.0094500.14200.7730108.980214400.04.0
29Ben-Browning497VSHqaZA32b7tgCETFEHBuzzBen Browning (Photo by Angel Ceballos)\\nCut Co...2018-05-17T18:43:18.000ZNaN\\n\\n?\\n\\nltrbuzzbands.laNaN...-8.3651.00.02760.0724000.0094500.14200.7730108.980214400.04.0
30Ben-Browning497VSHqaZA32b7tgCETFEHKai StreetCut Copy bassist, Ben Browning, has done it ag...2018-05-12T16:16:45.000ZNaN\\n\\n?\\n\\nltrfrenchshuffle.comNaN...-8.3651.00.02760.0724000.0094500.14200.7730108.980214400.04.0
31Ben-Browning497VSHqaZA32b7tgCETFEHNonephoto by Angel Ceballos\\nBen Browning has play...NoneNaN\\n\\n?\\n\\nltrwww.brooklynvegan.comNaN...-8.3651.00.02760.0724000.0094500.14200.7730108.980214400.04.0
32SOFI TUKKER586uxXMyD5ObPuzjtrzO1QNoneSofi Tukker have written a love song to each o...2017-09-21T20:42:39.000ZNaN\\n\\nEvery Friday, Spotify compiles the hottest...ltrwww.analoguetrash.comNaN...-5.7041.00.03920.0109000.0794000.15200.3000102.023184880.04.0
..................................................................
25126Mt Eden3YAy9OUnnRsk2JLTaOLcw2NoneIt was only last month that AraabMuzik sustain...2013-06-04T19:30:33.000ZNaNNoneltrconsequenceofsound.netNaN...-1.7130.00.05170.0072500.0000760.20900.5020138.941179440.04.0
25127The Colourist0hK26QoGcuKV3lH0x9MvUUConverted to dEUS-ism in 2001. Keen on screami...Remember The Colourist ace single Yes Yes from...2013-06-03T17:15:45.000ZNaN\\n\\n?\\n\\nltrwww.frontstagemusic.co.ukNaN...-8.0031.00.03590.0880000.0015600.10000.3100140.003284013.04.0
25128The Colourist0hK26QoGcuKV3lH0x9MvUUNoneMay 30, 2013\\nChris / IMF, Remixes / magic man...2013-05-30T16:48:05.000ZNaN\\n\\n?\\n\\nltrindiemusicfilter.comNaN...-8.0031.00.03590.0880000.0015600.10000.3100140.003284013.04.0
25129The Colourist0hK26QoGcuKV3lH0x9MvUUATGNew\\nThe Colourist have had a monster 2013 wit...NoneNaN\\n\\n?\\n\\nltrwww.allthingsgomusic.comNaN...-8.0031.00.03590.0880000.0015600.10000.3100140.003284013.04.0
25130Disclosure6nS5roXSAGhTGr34W6n7EtJared SilvaNew\\nWe've heard a couple collaborations from ...NoneNaN\\n\\n“F for You” comes courtesy of Howard Lawre...ltrwww.allthingsgomusic.comNaN...-7.4260.00.06740.0067600.0303000.11000.2730124.023269947.04.0
25131Disclosure6nS5roXSAGhTGr34W6n7EtGeorge\\nO'BrienYou can count the number of days beforeDisclos...NoneNaN\\n\\n“F for You” comes courtesy of Howard Lawre...ltrNoneNaN...-7.4260.00.06740.0067600.0303000.11000.2730124.023269947.04.0
25132ScHoolboy Q5IcR3N7QB1j6KBL8eImZ8mNoneSchoolboy Q might not be getting the plaudits ...NoneNaN\\n\\nThis song premiered during the 2013 NBA Pl...ltrwww.indieshuffle.comNaN...-7.2300.00.15900.3700000.0000000.12500.1760123.966272453.04.0
25133ScHoolboy Q5IcR3N7QB1j6KBL8eImZ8mHuman DrizzleSchoolboy Q, the rapper behind some of the big...2013-05-31T08:14:33.000ZNaN\\n\\nThis song premiered during the 2013 NBA Pl...ltrhumandrizzle.comNaN...-7.2300.00.15900.3700000.0000000.12500.1760123.966272453.04.0
25134ScHoolboy Q5IcR3N7QB1j6KBL8eImZ8mNoneScHoolboy Q 's latest track stands out to me a...2013-05-28T04:50:13.000ZNaN\\n\\nThis song premiered during the 2013 NBA Pl...ltrbeatspill.comNaN...-7.2300.00.15900.3700000.0000000.12500.1760123.966272453.04.0
25135Empire Of The Sun67hb7towEyKvt5Z8Bx306cNoneOff the back of an incredibly succcessful summ...NoneNaN\\n\\n?\\n\\nltrstoneyroads.comNaN...-5.5511.00.09170.0016800.7470000.16300.0925128.007356719.04.0
25136//Fractures7sjRnhONmeFL1tmlUvdq70Confusion\"Twisted\" is the lead single from an EP to be ...NoneNaN\\n\\n?\\n\\nltrpigeonsandplanes.comNaN...-10.5240.00.06740.1050000.4110000.24100.3850134.138260402.04.0
25137Still Parade3CXevh2SLL5B4cuTedOkj5b3\"Actors\" is the debut track from newcomers Sti...2013-06-04T18:20:09.000ZNaN\\n\\n?\\n\\nltrblahblahblahscience.comNaN...-12.8380.00.03440.8780000.7890000.21300.360090.967241922.04.0
25138Still Parade3CXevh2SLL5B4cuTedOkj5NoneStill Parade are superstars in waiting. They s...NoneNaN\\n\\n?\\n\\nltrwww.indieshuffle.comNaN...-12.8380.00.03440.8780000.7890000.21300.360090.967241922.04.0
25139Still Parade3CXevh2SLL5B4cuTedOkj5None\"Actors are so fortunate. They can choose whet...NoneNaN\\n\\n?\\n\\nltrjoftheday.comNaN...-12.8380.00.03440.8780000.7890000.21300.360090.967241922.04.0
25140J. Cole6l3HvQ5sa6mXTsMTB19rO5Justin McCarthyNew\\nGenre: Hip Hop Sounds Like: Drake\\nThe la...NoneNaN\\n\\nThis is the third release off of J Cole’s ...ltrwww.allthingsgomusic.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25141J. Cole6l3HvQ5sa6mXTsMTB19rO5NoneWhile Kanye West is taking the minimalist, mys...2013-05-31T19:22:17.000ZNaN\\n\\nThis is the third release off of J Cole’s ...ltrwww.idolator.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25142J. Cole6l3HvQ5sa6mXTsMTB19rO5NoneJ. Cole 's Born Sinner has been highly anticip...2013-05-31T18:00:29.000ZNaN\\n\\nThis is the third release off of J Cole’s ...ltrearmilk.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25143J. Cole6l3HvQ5sa6mXTsMTB19rO5NoneFor whatever reason, there is not much J. Cole...NoneNaN\\n\\nThis is the third release off of J Cole’s ...ltrwww.indieshuffle.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25144J. Cole6l3HvQ5sa6mXTsMTB19rO5ConfusionWith Born Sinner coming June 18, J. Cole drops...NoneNaN\\n\\nThis is the third release off of J Cole’s ...ltrpigeonsandplanes.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25145J. Cole6l3HvQ5sa6mXTsMTB19rO5NoneJ. Cole decides to liberate this new track off...2013-05-31T01:59:39.000ZNaN\\n\\nThis is the third release off of J Cole’s ...ltrnahright.comNaN...-7.3940.00.17400.0334000.0000020.10300.3270138.046217240.04.0
25146Robert DeLong42crL07E4WPfVovyUtMpvCNoneDid he make you fing dance? That he did. *Robe...2012-11-15T21:27:23.000ZNaN\\n\\n“Global Concepts” is the 2nd track on Robe...ltrearmilk.comNaN...-3.7580.00.20800.3320000.0000100.36400.6510107.926278147.04.0
25147Robert DeLong42crL07E4WPfVovyUtMpvCb3As his first release under the Glassnote label...2012-10-31T12:38:01.000ZNaN\\n\\n“Global Concepts” is the 2nd track on Robe...ltrblahblahblahscience.comNaN...-3.7580.00.20800.3320000.0000100.36400.6510107.926278147.04.0
25148Robert DeLong42crL07E4WPfVovyUtMpvCNoneSometimes a little experimentation is good. An...NoneNaN\\n\\n“Global Concepts” is the 2nd track on Robe...ltrwww.indieshuffle.comNaN...-3.7580.00.20800.3320000.0000100.36400.6510107.926278147.04.0
25149Robert DeLong42crL07E4WPfVovyUtMpvCNelsonNYC-based label Glassnote has quite an extensi...NoneNaN\\n\\n“Global Concepts” is the 2nd track on Robe...ltrwww.allthingsgomusic.comNaN...-3.7580.00.20800.3320000.0000100.36400.6510107.926278147.04.0
25154Baby Alpaca3UEWPRL5vRlNOP1zhRQf71NoneBaby Alpaca - Wild Child\\nBrooklyn's, NY deare...NoneNaN\\n\\n?\\n\\nltrsoundinjections.grNaN...-8.2021.00.05200.7270000.0006210.09290.061699.939352227.04.0
25155Baby Alpaca3UEWPRL5vRlNOP1zhRQf71b3New York band Baby Alpaca ably blend current w...2013-05-23T21:14:09.000ZNaN\\n\\n?\\n\\nltrblahblahblahscience.comNaN...-8.2021.00.05200.7270000.0006210.09290.061699.939352227.04.0
25156Two Door Cinema Club536BYVgOnRky0xjsPT96zlNoneAfter a couple false starts, RAC has officiall...NoneNaN\\n\\nThis song is about homesickness and Alex T...ltrwww.indieshuffle.comNaN...-6.4981.00.04780.2800000.0000000.09130.3920123.056286093.04.0
25157Adrian Lux5kp9Qhzri9LrDkzrtjt5ShNoneBack to TopMusic\\nWritten by James LedgerMay 2...NoneNaN\\n\\n?\\n\\nltrstoneyroads.comNaN...-4.3690.00.03630.0028400.0019700.13600.3910128.048166253.04.0
25158T.I. feat. Lil Wayne4OBJLual30L7gRl5UkeRcTConfusionT.I. and Lil Wayne are kicking off the America...NoneNaN\\n\\n?\\n\\nltrpigeonsandplanes.comNaN...-4.7371.00.22900.0293000.0000000.07090.3880142.037305080.04.0
25159The Smiths3yY2gUcIsjMr8hjo51PoJ8NoneMy love and adoration for The Smiths dates all...NoneNaN\\n\\nThe Smiths' second single of 1983, “This C...ltrwww.indieshuffle.comNaN...-5.9001.00.04360.0050900.0000000.07840.7510103.912162920.04.0
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" ], "text/plain": [ " artist artist_id \\\n", "0 Mt. Joy 69tiO1fG8VWduDl3ji2qhI \n", "1 Mt. Joy 69tiO1fG8VWduDl3ji2qhI \n", "2 Mt. Joy 69tiO1fG8VWduDl3ji2qhI \n", "3 Mt. Joy 69tiO1fG8VWduDl3ji2qhI \n", "4 Opia 70zHrrrPfBkVV44AEhFyyh \n", "5 Opia 70zHrrrPfBkVV44AEhFyyh \n", "6 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "7 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "8 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "9 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "10 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "11 ELOHIM 6wKxOKEA3K6R2UZ3COLXEY \n", "12 G Flip 4SdIXLzfabqU61iK7SnKAU \n", "13 G Flip 4SdIXLzfabqU61iK7SnKAU \n", "14 G Flip 4SdIXLzfabqU61iK7SnKAU \n", "17 Junip 7HcipAIJatVGT4U6HQrnFW \n", "18 Kevin Morby 6fxk3UXHTFYET8qCT9WlBF \n", "19 Kevin Morby 6fxk3UXHTFYET8qCT9WlBF \n", "20 Cosmo's Midnight 4VivsO1n4n2Mi2Btyb5gfL \n", "21 Cosmo's Midnight 4VivsO1n4n2Mi2Btyb5gfL \n", "23 Teleman 3wrtQM9ICPPeHwoc1GWiyV \n", "24 RÜFÜS / RÜFÜS DU SOL 5Pb27ujIyYb33zBqVysBkj \n", "25 RÜFÜS / RÜFÜS DU SOL 5Pb27ujIyYb33zBqVysBkj \n", "26 Ben-Browning 497VSHqaZA32b7tgCETFEH \n", "27 Ben-Browning 497VSHqaZA32b7tgCETFEH \n", "28 Ben-Browning 497VSHqaZA32b7tgCETFEH \n", "29 Ben-Browning 497VSHqaZA32b7tgCETFEH \n", "30 Ben-Browning 497VSHqaZA32b7tgCETFEH \n", "31 Ben-Browning 497VSHqaZA32b7tgCETFEH \n", "32 SOFI TUKKER 586uxXMyD5ObPuzjtrzO1Q \n", "... ... ... \n", "25126 Mt Eden 3YAy9OUnnRsk2JLTaOLcw2 \n", "25127 The Colourist 0hK26QoGcuKV3lH0x9MvUU \n", "25128 The Colourist 0hK26QoGcuKV3lH0x9MvUU \n", "25129 The Colourist 0hK26QoGcuKV3lH0x9MvUU \n", "25130 Disclosure 6nS5roXSAGhTGr34W6n7Et \n", "25131 Disclosure 6nS5roXSAGhTGr34W6n7Et \n", "25132 ScHoolboy Q 5IcR3N7QB1j6KBL8eImZ8m \n", "25133 ScHoolboy Q 5IcR3N7QB1j6KBL8eImZ8m \n", "25134 ScHoolboy Q 5IcR3N7QB1j6KBL8eImZ8m \n", "25135 Empire Of The Sun 67hb7towEyKvt5Z8Bx306c \n", "25136 //Fractures 7sjRnhONmeFL1tmlUvdq70 \n", "25137 Still Parade 3CXevh2SLL5B4cuTedOkj5 \n", "25138 Still Parade 3CXevh2SLL5B4cuTedOkj5 \n", "25139 Still Parade 3CXevh2SLL5B4cuTedOkj5 \n", "25140 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25141 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25142 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25143 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25144 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25145 J. Cole 6l3HvQ5sa6mXTsMTB19rO5 \n", "25146 Robert DeLong 42crL07E4WPfVovyUtMpvC \n", "25147 Robert DeLong 42crL07E4WPfVovyUtMpvC \n", "25148 Robert DeLong 42crL07E4WPfVovyUtMpvC \n", "25149 Robert DeLong 42crL07E4WPfVovyUtMpvC \n", "25154 Baby Alpaca 3UEWPRL5vRlNOP1zhRQf71 \n", "25155 Baby Alpaca 3UEWPRL5vRlNOP1zhRQf71 \n", "25156 Two Door Cinema Club 536BYVgOnRky0xjsPT96zl \n", "25157 Adrian Lux 5kp9Qhzri9LrDkzrtjt5Sh \n", "25158 T.I. feat. Lil Wayne 4OBJLual30L7gRl5UkeRcT \n", "25159 The Smiths 3yY2gUcIsjMr8hjo51PoJ8 \n", "\n", " author \\\n", "0 None \n", "1 Martin \n", "2 Nasko \n", "3 D & d \n", "4 Nat Morawski \n", "5 Adeel Amini \n", "6 Oblivious Pop \n", "7 None \n", "8 None \n", "9 None \n", "10 Acid Stag \n", "11 Adeel Amini \n", "12 Breaking More Waves Blog \n", "13 None \n", "14 Adeel Amini \n", "17 None \n", "18 None \n", "19 The Listening Post Blog \n", "20 Adrien \n", "21 Zuli \n", "23 None \n", "24 Acid Stag \n", "25 Erin Maher \n", "26 None \n", "27 Madison Blom \n", "28 None \n", "29 Buzz \n", "30 Kai Street \n", "31 None \n", "32 None \n", "... ... \n", "25126 None \n", "25127 Converted to dEUS-ism in 2001. Keen on screami... \n", "25128 None \n", "25129 ATG \n", "25130 Jared Silva \n", "25131 George\\nO'Brien \n", "25132 None \n", "25133 Human Drizzle \n", "25134 None \n", "25135 None \n", "25136 Confusion \n", "25137 b3 \n", "25138 None \n", "25139 None \n", "25140 Justin McCarthy \n", "25141 None \n", "25142 None \n", "25143 None \n", "25144 Confusion \n", "25145 None \n", "25146 None \n", "25147 b3 \n", "25148 None \n", "25149 Nelson \n", "25154 None \n", "25155 b3 \n", "25156 None \n", "25157 None \n", "25158 Confusion \n", "25159 None \n", "\n", " content \\\n", "0 New Music\\nMt. Joy reached out to us with the ... \n", "1 Folk rockers Mt. Joy have debuted their new so... \n", "2 You know we're digging Mt. Joy.\\nTheir new sin... \n", "3 Nothing against the profession, but the U.S. h... \n", "4 Connecticut duo Opia have released a guitar he... \n", "5 Now this is inventive. Not that we'd expect an... \n", "6 Since the very first release from Elohim about... \n", "7 New Music\\nNow this is how you get a party sta... \n", "8 This Friday, April 27th, ELOHIM releases her l... \n", "9 What a long way Elohim has come since the rele... \n", "10 Los Angeles artist ELOHIM will be releasing he... \n", "11 Elohim is no stranger to full-pelt pop, and it... \n", "12 If you follow Breaking More Waves on Twitter, ... \n", "13 Tags G Flip Georgia Flipo\\nBased in London, En... \n", "14 G Flip - or Georgia to her fam - should be a n... \n", "17 If like me you were wondering what he was up t... \n", "18 Beautiful Strangers -Kevin Morby\\nKevin Morby'... \n", "19 Kevin Morby has released new single 'Beautiful... \n", "20 by Adrien * Published 19 February, 2018 * Upd... \n", "21 It's been quite a while since these Cosmo's Mi... \n", "23 London's very-own Teleman has unleashed their ... \n", "24 Aussie lads R UFUS dropped a new tune over the... \n", "25 Recently I had a conversation with a few music... \n", "26 Ben Browning - \"Sunshine Baby\"\\nYou may know B... \n", "27 Kicking off his forthcoming album with the rel... \n", "28 Three years after Turns, Australian Melbourne-... \n", "29 Ben Browning (Photo by Angel Ceballos)\\nCut Co... \n", "30 Cut Copy bassist, Ben Browning, has done it ag... \n", "31 photo by Angel Ceballos\\nBen Browning has play... \n", "32 Sofi Tukker have written a love song to each o... \n", "... ... \n", "25126 It was only last month that AraabMuzik sustain... \n", "25127 Remember The Colourist ace single Yes Yes from... \n", "25128 May 30, 2013\\nChris / IMF, Remixes / magic man... \n", "25129 New\\nThe Colourist have had a monster 2013 wit... \n", "25130 New\\nWe've heard a couple collaborations from ... \n", "25131 You can count the number of days beforeDisclos... \n", "25132 Schoolboy Q might not be getting the plaudits ... \n", "25133 Schoolboy Q, the rapper behind some of the big... \n", "25134 ScHoolboy Q 's latest track stands out to me a... \n", "25135 Off the back of an incredibly succcessful summ... \n", "25136 \"Twisted\" is the lead single from an EP to be ... \n", "25137 \"Actors\" is the debut track from newcomers Sti... \n", "25138 Still Parade are superstars in waiting. They s... \n", "25139 \"Actors are so fortunate. They can choose whet... \n", "25140 New\\nGenre: Hip Hop Sounds Like: Drake\\nThe la... \n", "25141 While Kanye West is taking the minimalist, mys... \n", "25142 J. Cole 's Born Sinner has been highly anticip... \n", "25143 For whatever reason, there is not much J. Cole... \n", "25144 With Born Sinner coming June 18, J. Cole drops... \n", "25145 J. Cole decides to liberate this new track off... \n", "25146 Did he make you fing dance? That he did. *Robe... \n", "25147 As his first release under the Glassnote label... \n", "25148 Sometimes a little experimentation is good. An... \n", "25149 NYC-based label Glassnote has quite an extensi... \n", "25154 Baby Alpaca - Wild Child\\nBrooklyn's, NY deare... \n", "25155 New York band Baby Alpaca ably blend current w... \n", "25156 After a couple false starts, RAC has officiall... \n", "25157 Back to TopMusic\\nWritten by James LedgerMay 2... \n", "25158 T.I. and Lil Wayne are kicking off the America... \n", "25159 My love and adoration for The Smiths dates all... \n", "\n", " date_published dek \\\n", "0 2017-11-20T13:33:10.000Z NaN \n", "1 2017-11-16T00:00:00.000Z NaN \n", "2 2017-11-14T14:30:26.000Z NaN \n", "3 2018-06-20T10:53:00.000Z NaN \n", "4 2018-05-24T00:00:00.000Z NaN \n", "5 2018-05-17T11:30:22.000Z NaN \n", "6 2018-06-20T16:01:00.000Z NaN \n", "7 2018-05-09T22:44:56.000Z NaN \n", "8 None NaN \n", "9 2018-04-24T17:12:03.000Z NaN \n", "10 2018-04-24T00:00:00.000Z NaN \n", "11 2018-04-23T21:35:58.000Z NaN \n", "12 2018-06-20T08:00:00.000Z NaN \n", "13 2018-05-18T11:25:00.000Z NaN \n", "14 2018-05-16T16:32:46.000Z NaN \n", "17 None NaN \n", "18 None NaN \n", "19 2016-10-27T17:34:33.000Z NaN \n", "20 2018-02-19T20:22:54.000Z NaN \n", "21 2018-02-17T11:37:47.000Z NaN \n", "23 2018-05-16T00:00:00.000Z NaN \n", "24 2018-05-28T00:00:00.000Z NaN \n", "25 None NaN \n", "26 2018-05-29T23:12:32.000Z NaN \n", "27 2018-05-22T12:35:51.000Z NaN \n", "28 2018-05-20T08:49:53.000Z NaN \n", "29 2018-05-17T18:43:18.000Z NaN \n", "30 2018-05-12T16:16:45.000Z NaN \n", "31 None NaN \n", "32 2017-09-21T20:42:39.000Z NaN \n", "... ... ... \n", "25126 2013-06-04T19:30:33.000Z NaN \n", "25127 2013-06-03T17:15:45.000Z NaN \n", "25128 2013-05-30T16:48:05.000Z NaN \n", "25129 None NaN \n", "25130 None NaN \n", "25131 None NaN \n", "25132 None NaN \n", "25133 2013-05-31T08:14:33.000Z NaN \n", "25134 2013-05-28T04:50:13.000Z NaN \n", "25135 None NaN \n", "25136 None NaN \n", "25137 2013-06-04T18:20:09.000Z NaN \n", "25138 None NaN \n", "25139 None NaN \n", "25140 None NaN \n", "25141 2013-05-31T19:22:17.000Z NaN \n", "25142 2013-05-31T18:00:29.000Z NaN \n", "25143 None NaN \n", "25144 None NaN \n", "25145 2013-05-31T01:59:39.000Z NaN \n", "25146 2012-11-15T21:27:23.000Z NaN \n", "25147 2012-10-31T12:38:01.000Z NaN \n", "25148 None NaN \n", "25149 None NaN \n", "25154 None NaN \n", "25155 2013-05-23T21:14:09.000Z NaN \n", "25156 None NaN \n", "25157 None NaN \n", "25158 None NaN \n", "25159 None NaN \n", "\n", " desc direction \\\n", "0 “Silver Lining” is the fourth released single ... ltr \n", "1 “Silver Lining” is the fourth released single ... ltr \n", "2 “Silver Lining” is the fourth released single ... ltr \n", "3 “Silver Lining” is the fourth released single ... ltr \n", "4 \\n\\nI don’t know why but this feels like a bre... ltr \n", "5 \\n\\nI don’t know why but this feels like a bre... ltr \n", "6 \\n\\n?\\n\\n ltr \n", "7 \\n\\n?\\n\\n ltr \n", "8 \\n\\n?\\n\\n ltr \n", "9 \\n\\n?\\n\\n ltr \n", "10 \\n\\n?\\n\\n ltr \n", "11 \\n\\n?\\n\\n ltr \n", "12 \\n\\n?\\n\\n ltr \n", "13 \\n\\n?\\n\\n ltr \n", "14 \\n\\n?\\n\\n ltr \n", "17 \\n\\nThe subject of this song finds themself su... ltr \n", "18 \\n\\nAmazing\\n\\n ltr \n", "19 \\n\\nAmazing\\n\\n ltr \n", "20 \\n\\n?\\n\\n ltr \n", "21 \\n\\n?\\n\\n ltr \n", "23 \\n\\n?\\n\\n ltr \n", "24 \\n\\nRÜFÜS DU SOL’s first single from their upc... ltr \n", "25 \\n\\nRÜFÜS DU SOL’s first single from their upc... ltr \n", "26 \\n\\n?\\n\\n ltr \n", "27 \\n\\n?\\n\\n ltr \n", "28 \\n\\n?\\n\\n ltr \n", "29 \\n\\n?\\n\\n ltr \n", "30 \\n\\n?\\n\\n ltr \n", "31 \\n\\n?\\n\\n ltr \n", "32 \\n\\nEvery Friday, Spotify compiles the hottest... ltr \n", "... ... ... \n", "25126 None ltr \n", "25127 \\n\\n?\\n\\n ltr \n", "25128 \\n\\n?\\n\\n ltr \n", "25129 \\n\\n?\\n\\n ltr \n", "25130 \\n\\n“F for You” comes courtesy of Howard Lawre... ltr \n", "25131 \\n\\n“F for You” comes courtesy of Howard Lawre... ltr \n", "25132 \\n\\nThis song premiered during the 2013 NBA Pl... ltr \n", "25133 \\n\\nThis song premiered during the 2013 NBA Pl... ltr \n", "25134 \\n\\nThis song premiered during the 2013 NBA Pl... ltr \n", "25135 \\n\\n?\\n\\n ltr \n", "25136 \\n\\n?\\n\\n ltr \n", "25137 \\n\\n?\\n\\n ltr \n", "25138 \\n\\n?\\n\\n ltr \n", "25139 \\n\\n?\\n\\n ltr \n", "25140 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25141 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25142 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25143 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25144 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25145 \\n\\nThis is the third release off of J Cole’s ... ltr \n", "25146 \\n\\n“Global Concepts” is the 2nd track on Robe... ltr \n", "25147 \\n\\n“Global Concepts” is the 2nd track on Robe... ltr \n", "25148 \\n\\n“Global Concepts” is the 2nd track on Robe... ltr \n", "25149 \\n\\n“Global Concepts” is the 2nd track on Robe... ltr \n", "25154 \\n\\n?\\n\\n ltr \n", "25155 \\n\\n?\\n\\n ltr \n", "25156 \\n\\nThis song is about homesickness and Alex T... ltr \n", "25157 \\n\\n?\\n\\n ltr \n", "25158 \\n\\n?\\n\\n ltr \n", "25159 \\n\\nThe Smiths' second single of 1983, “This C... ltr \n", "\n", " domain error ... loudness \\\n", "0 www.buffablog.com NaN ... -6.231 \n", "1 www.discobelle.net NaN ... -6.231 \n", "2 www.stereofox.com NaN ... -6.231 \n", "3 indieobsessive.blogspot.com NaN ... -6.231 \n", "4 acidstag.com NaN ... -6.575 \n", "5 pressplayok.com NaN ... -6.575 \n", "6 www.obliviouspop.com NaN ... -6.560 \n", "7 www.buffablog.com NaN ... -6.560 \n", "8 www.theautumnroses.com NaN ... -6.560 \n", "9 www.highclouds.org NaN ... -6.560 \n", "10 acidstag.com NaN ... -6.560 \n", "11 pressplayok.com NaN ... -6.560 \n", "12 breakingmorewaves.blogspot.com NaN ... -5.865 \n", "13 www.highclouds.org NaN ... -5.865 \n", "14 pressplayok.com NaN ... -5.865 \n", "17 www.mp3hugger.com NaN ... -8.033 \n", "18 noondaytune.com NaN ... -11.127 \n", "19 thelisteningpostblog.wordpress.com NaN ... -11.127 \n", "20 doyoulikethatsong.com NaN ... -11.899 \n", "21 www.stereofox.com NaN ... -11.899 \n", "23 www.wickeddchildd.com NaN ... -8.772 \n", "24 acidstag.com NaN ... -6.909 \n", "25 beautifulbuzzz.com NaN ... -6.909 \n", "26 www.weallwantsomeone.org NaN ... -8.365 \n", "27 imperfectfifth.com NaN ... -8.365 \n", "28 sonofmarketing.com NaN ... -8.365 \n", "29 buzzbands.la NaN ... -8.365 \n", "30 frenchshuffle.com NaN ... -8.365 \n", "31 www.brooklynvegan.com NaN ... -8.365 \n", "32 www.analoguetrash.com NaN ... -5.704 \n", "... ... ... ... ... \n", "25126 consequenceofsound.net NaN ... -1.713 \n", "25127 www.frontstagemusic.co.uk NaN ... -8.003 \n", "25128 indiemusicfilter.com NaN ... -8.003 \n", "25129 www.allthingsgomusic.com NaN ... -8.003 \n", "25130 www.allthingsgomusic.com NaN ... -7.426 \n", "25131 None NaN ... -7.426 \n", "25132 www.indieshuffle.com NaN ... -7.230 \n", "25133 humandrizzle.com NaN ... -7.230 \n", "25134 beatspill.com NaN ... -7.230 \n", "25135 stoneyroads.com NaN ... -5.551 \n", "25136 pigeonsandplanes.com NaN ... -10.524 \n", "25137 blahblahblahscience.com NaN ... -12.838 \n", "25138 www.indieshuffle.com NaN ... -12.838 \n", "25139 joftheday.com NaN ... -12.838 \n", "25140 www.allthingsgomusic.com NaN ... -7.394 \n", "25141 www.idolator.com NaN ... -7.394 \n", "25142 earmilk.com NaN ... -7.394 \n", "25143 www.indieshuffle.com NaN ... -7.394 \n", "25144 pigeonsandplanes.com NaN ... -7.394 \n", "25145 nahright.com NaN ... -7.394 \n", "25146 earmilk.com NaN ... -3.758 \n", "25147 blahblahblahscience.com NaN ... -3.758 \n", "25148 www.indieshuffle.com NaN ... -3.758 \n", "25149 www.allthingsgomusic.com NaN ... -3.758 \n", "25154 soundinjections.gr NaN ... -8.202 \n", "25155 blahblahblahscience.com NaN ... -8.202 \n", "25156 www.indieshuffle.com NaN ... -6.498 \n", "25157 stoneyroads.com NaN ... -4.369 \n", "25158 pigeonsandplanes.com NaN ... -4.737 \n", "25159 www.indieshuffle.com NaN ... -5.900 \n", "\n", " mode speechiness acousticness instrumentalness liveness valence \\\n", "0 1.0 0.0323 0.000921 0.000000 0.0780 0.1780 \n", "1 1.0 0.0323 0.000921 0.000000 0.0780 0.1780 \n", "2 1.0 0.0323 0.000921 0.000000 0.0780 0.1780 \n", "3 1.0 0.0323 0.000921 0.000000 0.0780 0.1780 \n", "4 1.0 0.1020 0.190000 0.000034 0.0625 0.5820 \n", "5 1.0 0.1020 0.190000 0.000034 0.0625 0.5820 \n", "6 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "7 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "8 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "9 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "10 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "11 1.0 0.0347 0.139000 0.000003 0.1110 0.2990 \n", "12 1.0 0.0446 0.442000 0.000002 0.0742 0.6090 \n", "13 1.0 0.0446 0.442000 0.000002 0.0742 0.6090 \n", "14 1.0 0.0446 0.442000 0.000002 0.0742 0.6090 \n", "17 1.0 0.0417 0.472000 0.523000 0.1110 0.2840 \n", "18 1.0 0.0445 0.762000 0.068900 0.1050 0.8910 \n", "19 1.0 0.0445 0.762000 0.068900 0.1050 0.8910 \n", "20 1.0 0.2350 0.119000 0.002270 0.0782 0.4420 \n", "21 1.0 0.2350 0.119000 0.002270 0.0782 0.4420 \n", "23 0.0 0.0316 0.014400 0.300000 0.2280 0.5620 \n", "24 0.0 0.0316 0.015600 0.184000 0.1870 0.2050 \n", "25 0.0 0.0316 0.015600 0.184000 0.1870 0.2050 \n", "26 1.0 0.0276 0.072400 0.009450 0.1420 0.7730 \n", "27 1.0 0.0276 0.072400 0.009450 0.1420 0.7730 \n", "28 1.0 0.0276 0.072400 0.009450 0.1420 0.7730 \n", "29 1.0 0.0276 0.072400 0.009450 0.1420 0.7730 \n", "30 1.0 0.0276 0.072400 0.009450 0.1420 0.7730 \n", "31 1.0 0.0276 0.072400 0.009450 0.1420 0.7730 \n", "32 1.0 0.0392 0.010900 0.079400 0.1520 0.3000 \n", "... ... ... ... ... ... ... \n", "25126 0.0 0.0517 0.007250 0.000076 0.2090 0.5020 \n", "25127 1.0 0.0359 0.088000 0.001560 0.1000 0.3100 \n", "25128 1.0 0.0359 0.088000 0.001560 0.1000 0.3100 \n", "25129 1.0 0.0359 0.088000 0.001560 0.1000 0.3100 \n", "25130 0.0 0.0674 0.006760 0.030300 0.1100 0.2730 \n", "25131 0.0 0.0674 0.006760 0.030300 0.1100 0.2730 \n", "25132 0.0 0.1590 0.370000 0.000000 0.1250 0.1760 \n", "25133 0.0 0.1590 0.370000 0.000000 0.1250 0.1760 \n", "25134 0.0 0.1590 0.370000 0.000000 0.1250 0.1760 \n", "25135 1.0 0.0917 0.001680 0.747000 0.1630 0.0925 \n", "25136 0.0 0.0674 0.105000 0.411000 0.2410 0.3850 \n", "25137 0.0 0.0344 0.878000 0.789000 0.2130 0.3600 \n", "25138 0.0 0.0344 0.878000 0.789000 0.2130 0.3600 \n", "25139 0.0 0.0344 0.878000 0.789000 0.2130 0.3600 \n", "25140 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25141 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25142 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25143 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25144 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25145 0.0 0.1740 0.033400 0.000002 0.1030 0.3270 \n", "25146 0.0 0.2080 0.332000 0.000010 0.3640 0.6510 \n", "25147 0.0 0.2080 0.332000 0.000010 0.3640 0.6510 \n", "25148 0.0 0.2080 0.332000 0.000010 0.3640 0.6510 \n", "25149 0.0 0.2080 0.332000 0.000010 0.3640 0.6510 \n", "25154 1.0 0.0520 0.727000 0.000621 0.0929 0.0616 \n", "25155 1.0 0.0520 0.727000 0.000621 0.0929 0.0616 \n", "25156 1.0 0.0478 0.280000 0.000000 0.0913 0.3920 \n", "25157 0.0 0.0363 0.002840 0.001970 0.1360 0.3910 \n", "25158 1.0 0.2290 0.029300 0.000000 0.0709 0.3880 \n", "25159 1.0 0.0436 0.005090 0.000000 0.0784 0.7510 \n", "\n", " tempo duration_ms time_signature \n", "0 144.458 199827.0 4.0 \n", "1 144.458 199827.0 4.0 \n", "2 144.458 199827.0 4.0 \n", "3 144.458 199827.0 4.0 \n", "4 87.974 223814.0 4.0 \n", "5 87.974 223814.0 4.0 \n", "6 120.046 225531.0 4.0 \n", "7 120.046 225531.0 4.0 \n", "8 120.046 225531.0 4.0 \n", "9 120.046 225531.0 4.0 \n", "10 120.046 225531.0 4.0 \n", "11 120.046 225531.0 4.0 \n", "12 102.988 217148.0 4.0 \n", "13 102.988 217148.0 4.0 \n", "14 102.988 217148.0 4.0 \n", "17 90.377 339293.0 4.0 \n", "18 100.042 375903.0 4.0 \n", "19 100.042 375903.0 4.0 \n", "20 109.079 241651.0 4.0 \n", "21 109.079 241651.0 4.0 \n", "23 124.003 293142.0 4.0 \n", "24 120.001 238008.0 4.0 \n", "25 120.001 238008.0 4.0 \n", "26 108.980 214400.0 4.0 \n", "27 108.980 214400.0 4.0 \n", "28 108.980 214400.0 4.0 \n", "29 108.980 214400.0 4.0 \n", "30 108.980 214400.0 4.0 \n", "31 108.980 214400.0 4.0 \n", "32 102.023 184880.0 4.0 \n", "... ... ... ... \n", "25126 138.941 179440.0 4.0 \n", "25127 140.003 284013.0 4.0 \n", "25128 140.003 284013.0 4.0 \n", "25129 140.003 284013.0 4.0 \n", "25130 124.023 269947.0 4.0 \n", "25131 124.023 269947.0 4.0 \n", "25132 123.966 272453.0 4.0 \n", "25133 123.966 272453.0 4.0 \n", "25134 123.966 272453.0 4.0 \n", "25135 128.007 356719.0 4.0 \n", "25136 134.138 260402.0 4.0 \n", "25137 90.967 241922.0 4.0 \n", "25138 90.967 241922.0 4.0 \n", "25139 90.967 241922.0 4.0 \n", "25140 138.046 217240.0 4.0 \n", "25141 138.046 217240.0 4.0 \n", "25142 138.046 217240.0 4.0 \n", "25143 138.046 217240.0 4.0 \n", "25144 138.046 217240.0 4.0 \n", "25145 138.046 217240.0 4.0 \n", "25146 107.926 278147.0 4.0 \n", "25147 107.926 278147.0 4.0 \n", "25148 107.926 278147.0 4.0 \n", "25149 107.926 278147.0 4.0 \n", "25154 99.939 352227.0 4.0 \n", "25155 99.939 352227.0 4.0 \n", "25156 123.056 286093.0 4.0 \n", "25157 128.048 166253.0 4.0 \n", "25158 142.037 305080.0 4.0 \n", "25159 103.912 162920.0 4.0 \n", "\n", "[19889 rows x 45 columns]" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "deephypebot._set(['reviews_and_metadata_5yrs'], reviews_5yrs_df)\n", "deephypebot.reviews_and_metadata_5yrs()" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "hidden": true }, "outputs": [], "source": [ "deephypebot._meta['description'] = 'All reviews contain 1+ \"top\" genres'" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "hidden": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/home/ubuntu/.local/share/QuiltCli/quilt_packages/pkgs/Quilt/iconix/deephypebot\n", "└── reviews_and_metadata_5yrs: shape (19889, 45), types 'artist': object, 'artist_id': object, 'author': object, 'conte…\n" ] } ], "source": [ "quilt.build(pkg_name, deephypebot) # revision3\n", "quilt.inspect(pkg_name)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "hidden": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Launching a web browser...\n", "If that didn't work, please visit the following URL: https://pkg.quiltdata.com/login\n", "Failed to launch the browser: Command '['xdg-open', 'https://pkg.quiltdata.com/login']' returned non-zero exit status 3.\n", "\n", "Enter the code from the webpage: eyJjb2RlIjogIjg3MTM3MzZkLTgwNDAtNGEyNi05OTUyLTc5MTRmYjg2NTNmOCIsICJpZCI6ICJkMzI3ZTdkYS1lZDFiLTRiMWMtYTFlMC1lM2ZkNzk4NDJlMzkifQ==\n", "Fetching upload URLs from the registry...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", " 0%| | 0.00/29.1M [00:00\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 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artistartist_idauthorcontentdate_publisheddekdescdirectiondomainerror...loudnessmodespeechinessacousticnessinstrumentalnesslivenessvalencetempoduration_mstime_signature
10016Atlas Genius42vg2T0Xg9yPaAgogJzoQHITJYMIt's been an absolute age since we've heard an...2015-06-30T00:00:00.000ZNaN\\n\\n“Molecules” is the lead single from Atlas ...ltrinthejunkyardmusic.co.ukNaN...-4.8220.00.04400.0004420.0000100.19500.513117.028249267.04.0
14296MEG MAC4faUajx9k93O56nlmpkOuzNoneI posted Meg Mac a while back, and it was quit...NoneNaN\\n\\n?\\n\\nltrmusicthatwelike.comNaN...-8.1760.00.04830.0796000.0000230.04140.37180.118193405.04.0
16588DYLYN3hOdLrtKdSs3AEuwcR7sesLaurence\\nDayDYLYN deals in big statements: cascading beats...NoneNaN\\n\\n?\\n\\nltrNoneNaN...-3.6770.00.04520.0545000.0000070.07660.905154.964187320.04.0
9729Major Lazer738wLrAtLtCtFOLvQBXOXptheneedledropJuly 22, 2015New MusictheneedledropComment\\nMa...NoneNaN\\n\\nMajor Lazer strikes back with “Lost,” a Re...ltrwww.theneedledrop.comNaN...-5.0611.00.02860.0056000.0021200.08750.847139.928195649.04.0
4419FUTURO PELO5EqHv5lvGgrnkuGEFn67yNIvoElectronic\\nIt's so difficult to describe Futu...2017-02-23T14:09:18.000ZNaN\\n\\nltrwww.stereofox.comNaN...-7.8520.00.05600.0207000.1370000.09840.860142.057170704.04.0
\n", "

5 rows × 45 columns

\n", "" ], "text/plain": [ " artist artist_id author \\\n", "10016 Atlas Genius 42vg2T0Xg9yPaAgogJzoQH ITJYM \n", "14296 MEG MAC 4faUajx9k93O56nlmpkOuz None \n", "16588 DYLYN 3hOdLrtKdSs3AEuwcR7ses Laurence\\nDay \n", "9729 Major Lazer 738wLrAtLtCtFOLvQBXOXp theneedledrop \n", "4419 FUTURO PELO 5EqHv5lvGgrnkuGEFn67yN Ivo \n", "\n", " content \\\n", "10016 It's been an absolute age since we've heard an... \n", "14296 I posted Meg Mac a while back, and it was quit... \n", "16588 DYLYN deals in big statements: cascading beats... \n", "9729 July 22, 2015New MusictheneedledropComment\\nMa... \n", "4419 Electronic\\nIt's so difficult to describe Futu... \n", "\n", " date_published dek \\\n", "10016 2015-06-30T00:00:00.000Z NaN \n", "14296 None NaN \n", "16588 None NaN \n", "9729 None NaN \n", "4419 2017-02-23T14:09:18.000Z NaN \n", "\n", " desc direction \\\n", "10016 \\n\\n“Molecules” is the lead single from Atlas ... ltr \n", "14296 \\n\\n?\\n\\n ltr \n", "16588 \\n\\n?\\n\\n ltr \n", "9729 \\n\\nMajor Lazer strikes back with “Lost,” a Re... ltr \n", "4419 \\n\\n ltr \n", "\n", " domain error ... loudness mode \\\n", "10016 inthejunkyardmusic.co.uk NaN ... -4.822 0.0 \n", "14296 musicthatwelike.com NaN ... -8.176 0.0 \n", "16588 None NaN ... -3.677 0.0 \n", "9729 www.theneedledrop.com NaN ... -5.061 1.0 \n", "4419 www.stereofox.com NaN ... -7.852 0.0 \n", "\n", " speechiness acousticness instrumentalness liveness valence tempo \\\n", "10016 0.0440 0.000442 0.000010 0.1950 0.513 117.028 \n", "14296 0.0483 0.079600 0.000023 0.0414 0.371 80.118 \n", "16588 0.0452 0.054500 0.000007 0.0766 0.905 154.964 \n", "9729 0.0286 0.005600 0.002120 0.0875 0.847 139.928 \n", "4419 0.0560 0.020700 0.137000 0.0984 0.860 142.057 \n", "\n", " duration_ms time_signature \n", "10016 249267.0 4.0 \n", "14296 193405.0 4.0 \n", "16588 187320.0 4.0 \n", "9729 195649.0 4.0 \n", "4419 170704.0 4.0 \n", "\n", "[5 rows x 45 columns]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from quilt.data.iconix import deephypebot\n", "\n", "reviews_5yrs_df = deephypebot.reviews_and_metadata_5yrs()\n", "reviews_5yrs_df.sample(frac=1).head()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "hidden": true }, "outputs": [], "source": [ "from collections import Counter\n", "\n", "freq_threshold = 90\n", "\n", "c1 = Counter([g for gg in reviews_5yrs_df.spotify_genres for g in gg])\n", "freq_genres = Counter({k:v for (k,v) in c1.items() if v >= freq_threshold})" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "hidden": true }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from wordcloud import WordCloud\n", "import matplotlib.pyplot as plt\n", "\n", "%matplotlib inline\n", "\n", "wordcloud = WordCloud(width=975).generate_from_frequencies(dict(freq_genres))\n", "\n", "plt.figure(figsize=(20,10))\n", "plt.imshow(wordcloud, interpolation=\"bilinear\")\n", "plt.axis(\"off\")\n", "plt.tight_layout(pad=0)\n", "plt.savefig('genrecloud.png', bbox_inches='tight', facecolor='k')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Split content into sentences\n", "For VAE training" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Runtime: 571.64s\n" ] }, { "data": { "text/plain": [ "0 [New Music reached out to us with the...\n", "1 [Folk rockers have debuted their new ...\n", "2 [You know we're digging <, artist>., Their new...\n", "3 [Nothing against the profession, but the U.S. ...\n", "4 [Connecticut duo have released a guit...\n", "Name: content_sentences, dtype: object" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from quilt.data.iconix import deephypebot\n", "import spacy\n", "\n", "import time\n", "start = time.time()\n", "\n", "nlp = spacy.load('en')\n", "\n", "df = deephypebot.reviews_and_metadata_5yrs()\n", "df = df.assign(content_sentences=lambda x: [[' '.join(s.text.split()) for s in ss] for ss in [list(nlp(c).sents) for c in x.masked_content]])\n", " \n", "print(f'Runtime: {time.time() - start:.2f}s')\n", "\n", "df.content_sentences.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## New quilt revision (4)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 [New Music reached out to us with the...\n", "1 [Folk rockers have debuted their new ...\n", "2 [You know we're digging <, artist>., Their new...\n", "3 [Nothing against the profession, but the U.S. ...\n", "4 [Connecticut duo have released a guit...\n", "Name: content_sentences, dtype: object" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import quilt\n", "pkg_name = 'iconix/deephypebot'\n", "\n", "deephypebot._set(['reviews_and_metadata_5yrs'], df)\n", "deephypebot.reviews_and_metadata_5yrs().content_sentences.head()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "deephypebot._meta['description'] = 'Split content into sentences'" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/home/ubuntu/.local/share/QuiltCli/quilt_packages/pkgs/Quilt/iconix/deephypebot\n", "└── reviews_and_metadata_5yrs: shape (19889, 46), types 'artist': object, 'artist_id': object, 'author': object, 'conte…\n" ] } ], "source": [ "quilt.build(pkg_name, deephypebot) # revision4\n", "quilt.inspect(pkg_name)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Launching a web browser...\n", "If that didn't work, please visit the following URL: https://pkg.quiltdata.com/login\n", "Failed to launch the browser: Command '['xdg-open', 'https://pkg.quiltdata.com/login']' returned non-zero exit status 3.\n", "\n", "Enter the code from the webpage: eyJjb2RlIjogIjBhMmM2N2RhLTgwN2UtNDE3MC04YTUyLTFmYWZiZjljNzBiYyIsICJpZCI6ICJkMzI3ZTdkYS1lZDFiLTRiMWMtYTFlMC1lM2ZkNzk4NDJlMzkifQ==\n", "Fetching upload URLs from the registry...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", " 0%| | 0.00/40.1M [00:00 reached out to us with the...\n", "1 [Folk rockers have debuted their new ...\n", "2 [You know we're digging <, artist>., Their new...\n", "3 [Nothing against the profession, but the U.S. ...\n", "4 [Connecticut duo have released a guit...\n", "Name: content_sentences, dtype: object" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import os\n", "import pandas as pd\n", "\n", "BASE_DIR = os.getcwd()\n", "DATA_DIR = os.path.join(BASE_DIR, '..', 'datasets')\n", "reviews_f = 'reviews_and_metadata'\n", "\n", "reviews_5yrs_f = os.path.join(DATA_DIR, f'{reviews_f}_5yrs.json')\n", "reviews_5yrs_df = pd.read_json(reviews_5yrs_f)\n", "print(f'num_reviews: {len(reviews_5yrs_df)}')\n", "reviews_5yrs_df.content_sentences.head()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(0, 0.22650239), (2, 0.42532876), (3, 0.33853623)]" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "def sentence_to_topic(sent):\n", " return lda[dictionary.doc2bow([word for word in tokenize(sent) if word not in stoplist and word not in fillerlist])]\n", "\n", "sentence_to_topic(reviews_5yrs_df.content_sentences[1][0])" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[('New Music reached out to us with the powerful sentiment of their alt-folk anthem, \".',\n", " (0, 0.43400997),\n", " 'ssi: 0',\n", " 'si: 0'),\n", " ('\" The song is about coping with the feelings of loss after losing friends to addiction.',\n", " (3, 0.9059083),\n", " 'ssi: 0',\n", " 'si: 1'),\n", " ('The heavy subject matter is touching and eloquently-delivered...',\n", " (3, 0.50518245),\n", " 'ssi: 0',\n", " 'si: 2'),\n", " ('And its hard to deny the powerful chorus of \"',\n", " (0, 0.51616824),\n", " 'ssi: 0',\n", " 'si: 3'),\n", " ('But if it\\'s the drugs, the women, the wine, the weed.\"',\n", " (1, 0.4500785),\n", " 'ssi: 0',\n", " 'si: 4'),\n", " ('Recommended for fans of Mumford & Sons, Edward Sharpe, or Noah and the Whale.',\n", " (2, 0.41642538),\n", " 'ssi: 0',\n", " 'si: 5'),\n", " (\"Drop a like on Instagram while you're at it.\",\n", " (3, 0.56144327),\n", " 'ssi: 0',\n", " 'si: 6')]" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "[(s, max(sentence_to_topic(s), key=itemgetter(1)), f'ssi: {ssi}', f'si: {si}') for ssi, ss in enumerate(reviews_5yrs_df.content_sentences[:1]) for si, s in enumerate(ss)]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "[(s, f'ssi: {ssi}', f'si: {si}') for ssi, ss in enumerate(reviews_5yrs_df.content_sentences) for si, s in enumerate(ss) if \"the boulder theatre sep 20th emos austin tx sep 22nd granada theater dallas tx sep 24th orange peel asheville nc sep 25th cannery ballroom nashville tn sep 26th midpoint music festival cincinnati oh sep 27th pygmalion music festival champaign urbana il sep 29th royale boston ma oct 1st terminal 5 new york ny oct 3rd the forum london united kingdom oct 4th the art school glasgow united kingdom oct 5th stylus leeds united kingdom oct 6th trinity centre bristol united kingdom oct 8th la gaite lyrique paris france oct 9th vk club brussels belgium oct 10th melkweg old room amsterdam netherlands oct 11th uebel gefahrlich hamburg germany oct 12th gebaude 9 cologne germany oct 14th c club berlin germany oct 15th basen warsaw\" in datasets.normalize_string(s)]" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "runtime: 158.94s\n" ] }, { "data": { "text/plain": [ "0 [New Music reached out to us with the...\n", "1 [Folk rockers have debuted their new ...\n", "2 [You know we're digging <, artist>., Their new...\n", "3 [Nothing against the profession, but the U.S. ...\n", "4 [Connecticut duo have released a guit...\n", "Name: content_sentences, dtype: object" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "remove_topic = 1\n", "def remove_topic(column):\n", " return [sent for sent in column if (max(sentence_to_topic(sent), key=itemgetter(1))[0] != remove_topic and max(sentence_to_topic(sent), key=itemgetter(1))[1] < 0.75)]\n", "\n", "import time\n", "\n", "start = time.time()\n", "reviews_5yrs_df.content_sentences = reviews_5yrs_df.content_sentences.apply(remove_topic)\n", "print(f'runtime: {time.time() - start:.2f}s')\n", "reviews_5yrs_df.content_sentences.head()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "[(s, f'ssi: {ssi}', f'si: {si}') for ssi, ss in enumerate(reviews_5yrs_df.content_sentences) for si, s in enumerate(ss) if \"the boulder theatre sep 20th emos austin tx sep 22nd granada theater dallas tx sep 24th orange peel asheville nc sep 25th cannery ballroom nashville tn sep 26th midpoint music festival cincinnati oh sep 27th pygmalion music festival champaign urbana il sep 29th royale boston ma oct 1st terminal 5 new york ny oct 3rd the forum london united kingdom oct 4th the art school glasgow united kingdom oct 5th stylus leeds united kingdom oct 6th trinity centre bristol united kingdom oct 8th la gaite lyrique paris france oct 9th vk club brussels belgium oct 10th melkweg old room amsterdam netherlands oct 11th uebel gefahrlich hamburg germany oct 12th gebaude 9 cologne germany oct 14th c club berlin germany oct 15th basen warsaw\" in datasets.normalize_string(s)]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import quilt\n", "from quilt.data.iconix import deephypebot\n", "\n", "pkg_name = 'iconix/deephypebot'\n", "\n", "deephypebot._set(['reviews_and_metadata_5yrs'], reviews_5yrs_df)\n", "deephypebot.reviews_5yrs_df().content_sentences.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "deephypebot._meta['description'] = 'Remove tour dates and some other junk'" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "quilt.build(pkg_name, deephypebot) # revision5\n", "quilt.inspect(pkg_name)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "quilt.login()\n", "quilt.push(pkg_name, is_public=True)" ] }, { "cell_type": "markdown", "metadata": { "heading_collapsed": true }, "source": [ "# Pre-trained VAE model v1\n", "## New quilt revision (?)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "hidden": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/home/ubuntu/.local/share/QuiltCli/quilt_packages/pkgs/Quilt/iconix/deephypebot\n", "└── reviews_and_metadata_5yrs: shape (19889, 46), types 'artist': object, 'artist_id': object, 'author': object, 'conte…\n" ] } ], "source": [ "from quilt.data.iconix import deephypebot\n", "import quilt\n", "\n", "pkg_name = 'iconix/deephypebot'\n", "\n", "quilt.inspect(pkg_name)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "('ultimatum is out now and it features malian musician and singer songwriter fatoumata diawara',\n", " 'arawaid atamuotaf retirwgnos regnis dna naicisum nailam serutaef ti dna won tuo si mutamitlu',\n", " array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n", " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.,\n", " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", " 0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0.]))" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import dill as pickle\n", "\n", "cache_file = '../../pytorch-text-vae/tmp/reviews_and_metadata_5yrs_stored_info.pkl'\n", "\n", "with open(cache_file, \"rb\", buffering=0) as f:\n", " input_side, output_side, pairs, dataset, Z_SIZE, CONDITION_SIZE, DECODER_HIDDEN_SIZE, ENCODER_HIDDEN_SIZE, N_ENCODER_LAYERS = pickle.load(f)\n", " \n", "pairs[0]" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "hidden": true }, "outputs": [ { "ename": "TypeError", "evalue": "an integer is required", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcache_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"rb\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuffering\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mbytearray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mTypeError\u001b[0m: an integer is required" ] } ], "source": [ "with open(cache_file, \"rb\", buffering=0) as f:\n", " bytearray(f)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "hidden": true }, "outputs": [ { "ename": "TypeError", "evalue": "'bytes' object cannot be interpreted as an integer", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcache_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"rb\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuffering\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdeephypebot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_set\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'reviews_and_metadata_5yrs_stored_info'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbytes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mdeephypebot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreviews_and_metadata_5yrs_stored_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mTypeError\u001b[0m: 'bytes' object cannot be interpreted as an integer" ] } ], "source": [ "with open(cache_file, \"rb\", buffering=0) as f:\n", " deephypebot._set(['reviews_and_metadata_5yrs_stored_info'], bytes(f))\n", "deephypebot.reviews_and_metadata_5yrs_stored_info()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "hidden": true }, "outputs": [ { "ename": "TypeError", "evalue": "file must have 'read' and 'readline' attributes", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdill\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpickle\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0minput_side\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutput_side\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpairs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mZ_SIZE\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mCONDITION_SIZE\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mDECODER_HIDDEN_SIZE\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mENCODER_HIDDEN_SIZE\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mN_ENCODER_LAYERS\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpickle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdeephypebot\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreviews_and_metadata_5yrs_stored_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mpairs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/src/anaconda3/envs/fastai/lib/python3.6/site-packages/dill/dill.py\u001b[0m in \u001b[0;36mload\u001b[0;34m(file)\u001b[0m\n\u001b[1;32m 284\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 285\u001b[0m \u001b[0;34m\"\"\"unpickle an object from a file\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 286\u001b[0;31m \u001b[0mpik\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mUnpickler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 287\u001b[0m \u001b[0mpik\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_main\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_main_module\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 288\u001b[0m \u001b[0mobj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpik\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m~/src/anaconda3/envs/fastai/lib/python3.6/site-packages/dill/dill.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, *args, **kwds)\u001b[0m\n\u001b[1;32m 446\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 447\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 448\u001b[0;31m \u001b[0mStockUnpickler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 449\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_main\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_main_module\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 450\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mTypeError\u001b[0m: file must have 'read' and 'readline' attributes" ] } ], "source": [ "import dill as pickle\n", "\n", "input_side, output_side, pairs, dataset, Z_SIZE, CONDITION_SIZE, DECODER_HIDDEN_SIZE, ENCODER_HIDDEN_SIZE, N_ENCODER_LAYERS = pickle.load(deephypebot.reviews_and_metadata_5yrs_stored_info())\n", "\n", "pairs[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Non-Quilt exploration\n", "\n", "## Topic modeling" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "num_reviews: 19889\n" ] }, { "data": { "text/plain": [ "0 [New Music reached out to us with the...\n", "1 [Folk rockers have debuted their new ...\n", "2 [You know we're digging <, artist>., Their new...\n", "3 [Nothing against the profession, but the U.S. ...\n", "4 [Connecticut duo have released a guit...\n", "Name: content_sentences, dtype: object" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import os\n", "import pandas as pd\n", "\n", "BASE_DIR = os.getcwd()\n", "DATA_DIR = os.path.join(BASE_DIR, '..', 'datasets')\n", "reviews_f = 'reviews_and_metadata'\n", "\n", "reviews_5yrs_f = os.path.join(DATA_DIR, f'{reviews_f}_5yrs.json')\n", "reviews_5yrs_df = pd.read_json(reviews_5yrs_f)\n", "print(f'num_reviews: {len(reviews_5yrs_df)}')\n", "reviews_5yrs_df.content_sentences.head()" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fetching cached info at ../../pytorch-text-vae/model/best/tmp/reviews_and_metadata_5yrs_stored_info.pkl\n", "Cache ../../pytorch-text-vae/model/best/tmp/reviews_and_metadata_5yrs_stored_info.pkl loaded (load time: 0.57s)\n", "Found saved model ../../pytorch-text-vae/model/best/reviews_and_metadata_5yrs_state.pt\n", "MAX_SAMPLE: False; TRUNCATED_SAMPLE: True\n", "Trained for 360000 steps (load time: 18.86s)\n", "Setting new random seed\n" ] } ], "source": [ "import torch\n", "\n", "# pip install git+https://github.com/iconix/pytorch-text-vae.git\n", "from pytorchtextvae import generate\n", "\n", "DEVICE = torch.device('cpu') # CPU inference\n", "vae, input_side, output_side, pairs, dataset, EMBED_SIZE, random_state = generate.load_model('../../pytorch-text-vae/model/best/reviews_and_metadata_5yrs_state.pt', 'reviews_and_metadata_5yrs_stored_info.pkl', DEVICE, cache_path='../../pytorch-text-vae/model/best/tmp')" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from pytorchtextvae import datasets\n", "\n", "def tokenize(line):\n", " l = line.strip().lstrip().rstrip()\n", " l = datasets.normalize_string(l)\n", " return l.split(' ')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[['tribal',\n", " 'chants',\n", " 'are',\n", " 'pitched',\n", " 'warped',\n", " 'and',\n", " 'layered',\n", " 'all',\n", " 'while',\n", " 'being',\n", " 'wrapped',\n", " 'in',\n", " 'waves',\n", " 'of',\n", " 'warm',\n", " 'synths',\n", " 'and',\n", " 'building',\n", " 'percussion'],\n", " ['artist',\n", " 'new',\n", " 'live',\n", " 'lp',\n", " 'heaven',\n", " 'on',\n", " 'earth',\n", " 'is',\n", " 'in',\n", " 'stores',\n", " 'now'],\n", " ['in',\n", " 'true',\n", " 'artist',\n", " 'fashion',\n", " 'he',\n", " 'has',\n", " 'tantalised',\n", " 'everyone',\n", " 'with',\n", " 'a',\n", " 'series',\n", " 'of',\n", " 'sporadic',\n", " 'uploading',\n", " 'of',\n", " 'tracks',\n", " 'to',\n", " 'his',\n", " 'soundcloud',\n", " 'and',\n", " 'the',\n", " 'latest',\n", " 'is',\n", " 'a',\n", " 'beautiful',\n", " 'cut',\n", " 'titled',\n", " 'the',\n", " 'light',\n", " 'featuring',\n", " 'the',\n", " 'ever',\n", " 'soulful',\n", " 'vocals',\n", " 'courtesy',\n", " 'of',\n", " 'denai',\n", " 'moore',\n", " 'who',\n", " 'has',\n", " 'also',\n", " 'worked',\n", " 'with',\n", " 'fantastic',\n", " 'mr',\n", " 'fox',\n", " '3']]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#sents = [sentence for review in reviews_5yrs_df.content_sentences for sentence in review]\n", "sents = [pair[0] for pair in pairs]\n", "texts = [tokenize(sentence) for sentence in sents]\n", "texts[:3]" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[['tribal',\n", " 'chants',\n", " 'pitched',\n", " 'warped',\n", " 'layered',\n", " 'wrapped',\n", " 'waves',\n", " 'warm',\n", " 'synths',\n", " 'building',\n", " 'percussion'],\n", " ['new', 'live', 'lp', 'heaven', 'earth', 'stores'],\n", " ['true',\n", " 'fashion',\n", " 'tantalised',\n", " 'everyone',\n", " 'series',\n", " 'sporadic',\n", " 'uploading',\n", " 'tracks',\n", " 'soundcloud',\n", " 'latest',\n", " 'beautiful',\n", " 'cut',\n", " 'titled',\n", " 'light',\n", " 'featuring',\n", " 'ever',\n", " 'soulful',\n", " 'vocals',\n", " 'courtesy',\n", " 'denai',\n", " 'moore',\n", " 'also',\n", " 'worked',\n", " 'fantastic',\n", " 'mr',\n", " 'fox',\n", " '3']]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from nltk.corpus import stopwords\n", "\n", "# remove stop words and words that appear only once\n", "stoplist = [datasets.normalize_string(word) for word in stopwords.words('english')]\n", "fillerlist = ['author', 'song_title', 'artist', 'sitename']\n", "\n", "texts = [[word for word in text if word not in stoplist and word not in fillerlist] for text in texts]\n", "texts[:3]" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "from gensim.corpora.dictionary import Dictionary\n", "\n", "'''# remove stop words and words that appear only once\n", "stoplist = list(stopwords.words('english'))\n", "stop_ids = [dictionary.token2id[stopword] for stopword in stoplist\n", " if stopword in dictionary.token2id]\n", "filler_ids = [dictionary.token2id[fillword] for fillword in ['author', 'song_title', 'artist', 'sitename']\n", " if fillword in dictionary.token2id]\n", "\n", "dictionary.filter_tokens(stop_ids + filler_ids) # remove stop words\n", "dictionary.compactify() # remove gaps in id sequence after words that were removed'''\n", "\n", "dictionary = Dictionary(texts)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### n_topics=2" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(0,\n", " '0.011*\"track\" + 0.010*\"like\" + 0.008*\"song\" + 0.007*\"one\" + 0.006*\"music\" + 0.006*\"pop\" + 0.006*\"vocals\" + 0.005*\"time\" + 0.004*\"sound\" + 0.004*\"love\"'),\n", " (1,\n", " '0.021*\"new\" + 0.013*\"single\" + 0.013*\"album\" + 0.009*\"track\" + 0.009*\"release\" + 0.009*\"ep\" + 0.008*\"year\" + 0.007*\"first\" + 0.007*\"debut\" + 0.006*\"remix\"')]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from gensim.models.ldamodel import LdaModel\n", "\n", "n_topics = 2\n", "passes = 20 # number of passes through documents\n", "iterations = 400\n", "eval_every = 1 # Don't evaluate model perplexity, takes too much time.\n", "\n", "corpus = [dictionary.doc2bow(text) for text in texts]\n", "# Train the model on the corpus.\n", "lda = LdaModel(corpus, id2word=dictionary, num_topics=n_topics, iterations=iterations, passes=passes, eval_every=eval_every)\n", "#lda = LdaModel(corpus, id2word=dictionary, num_topics=n_topics)\n", "lda.print_topics(n_topics)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "import pyLDAvis.gensim\n", "pyLDAvis.enable_notebook()\n", "\n", "import warnings\n", "warnings.filterwarnings(\"ignore\", category=DeprecationWarning)\n", "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n", "\n", "p = pyLDAvis.gensim.prepare(lda, corpus, dictionary)\n", "pyLDAvis.save_html(p, f'lda_{n_topics}topics.html')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's look at a few sentences and their topics..." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(0, 0.9573547) tribal chants are pitched warped and layered all while being wrapped in waves of warm synths and building percussion\n", "(1, 0.8950334) artist new live lp heaven on earth is in stores now\n", "(1, 0.5538248) in true artist fashion he has tantalised everyone with a series of sporadic uploading of tracks to his soundcloud and the latest is a beautiful cut titled the light featuring the ever soulful vocals courtesy of denai moore who has also worked with fantastic mr fox 3\n", "(1, 0.9520523) now hes back with another single song_title offering another taste of his forthcoming solo project artist s demo\n", "(0, 0.9283465) if youre a bit familiar with artist youll probably recognise his signature sound\n", "(0, 0.9440481) its first half is a lush idyllic soundscape before it unfurls into a hand clapping hip shaking number\n", "(1, 0.9285623) the ep is due to be released on august 12th 2013\n", "(1, 0.9440406) aka ben moorhouse and leo duncan will release their debut album\n", "(0, 0.7605752) look numbers dont mean everything but it means that i probably listened to their previous single about 900 thousand times which means over 100k people listened to that song\n", "(0, 0.7546815) we ve seen him dive into all sorts of dance pop trance electro and this time hes returned to his version of progressive club house\n" ] } ], "source": [ "from operator import itemgetter\n", "\n", "for i in range(10):\n", " print(max(lda[corpus[i]],key=itemgetter(1)), datasets.normalize_string(sents[i]))" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Counter({1: 63454, 2: 41013})" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from collections import Counter\n", "\n", "Counter([max(lda[corpus[i]], key=itemgetter(1))[0] + 1 for i in range(len(texts))])" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "out = sorted([f'{max(lda[corpus[i]], key=itemgetter(1))} {datasets.normalize_string(sents[i])}\\n' for i in range(len(texts))], reverse=True)\n", "with open(f'sentence_{n_topics}topics.txt', 'w') as f:\n", " f.writelines(out)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Most \"representative\":\n", "- **Topic 0 (repetitive nonsense, song description) (*)**:\n", " - (0, 0.9948391) dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite on the streets dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite on the streets\n", " - (0, 0.9869039) the first dynamic twist the staccato chords alongside acrobatic synth bassline the vocals panning left to right with each word the fizzling catapulting energy of this part and the chorus launching like a jet ski on sapphire teal seas the simple french touch feel of the beat allowing those rich synths and the croon of the vocals to truly sparkle tropical summer atmosphere bubbling up like heat distortion\n", " - (0, 0.9865338) instead song_title builds beyond its initial pleasantness into unforgettable with a hook that welcomely gets stuck in your head supported by some really cool teetering electronic beats minimal yet immediate crisp yet not overbearing providing a grittier backdrop to the sweet vocals which also toy between playful and naive vulnerable and sultry showing an array of controlled versatile emotion\n", " - (0, 0.9862242) her dark take on electronica works well with her husky vocals and the sparing use of pitchshifted vocals on scary people kay says she gathers inspiration from old sci fi and horror films elements of deep house 80 s inspired synths and a love for the weird and the macabre which helps explain the art house horror feel of the track\n", "- **Topic 1 (tour and release dates, expository language on artist)**:\n", " - (1, 0.99572474) the boulder theatre sep 20th emos austin tx sep 22nd granada theater dallas tx sep 24th orange peel asheville nc sep 25th cannery ballroom nashville tn sep 26th midpoint music festival cincinnati oh sep 27th pygmalion music festival champaign urbana il sep 29th royale boston ma oct 1st terminal 5 new york ny oct 3rd the forum london united kingdom oct 4th the art school glasgow united kingdom oct 5th stylus leeds united kingdom oct 6th trinity centre bristol united kingdom oct 8th la gaite lyrique paris france oct 9th vk club brussels belgium oct 10th melkweg old room amsterdam netherlands oct 11th uebel gefahrlich hamburg germany oct 12th gebaude 9 cologne germany oct 14th c club berlin germany oct 15th basen warsaw\n", " - (1, 0.9946766) pa oct 8 oakdale theatre wallingford ct oct 9 house of blues boston ma oct 10 tower theatre philadelphia pa oct 11 terminal 5 new york ny oct 12 terminal 5 new york ny oct 13 9 30 club washington dc oct 15 coliseum nightclub tallahassee fl oct 16 amphitheater tampa fl oct 17 house of blues orlando fl oct 18 fillmore miami fl oct 30 koko london uk oct 31 melkweg amsterdam nl nov 4 rockhal luxembourg lu nov 5 lido berlin de nov 6 gloria cologne de nov 7 la machine paris fr nov 29 stereosonic sydney\n", " - ...\n", " - (1, 0.9782716) the london based trio of sebastian fox stevie mcminn and al mitchell then announced the release of a forthcoming new ep and previewed another stunning track from it called hamburg which promptly got a lovely re working by sitename favourite turtle\n", " - ...\n", " - (1, 0.9779218) in addition to being the label home for kendrick lamar ab soul and the rest of black hippy top dawg entertainment netted two big signees earlier this fall r b artist solana rowe a k a sza and tennessee rapper isaiah rashad\n", " \n", "**(*)** desirable topic" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### n_topics=3" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(0,\n", " '0.014*\"pop\" + 0.013*\"vocals\" + 0.012*\"track\" + 0.007*\"production\" + 0.006*\"house\" + 0.006*\"sound\" + 0.005*\"vocal\" + 0.005*\"electronic\" + 0.005*\"synth\" + 0.005*\"guitar\"'),\n", " (1,\n", " '0.012*\"like\" + 0.011*\"song\" + 0.011*\"one\" + 0.009*\"music\" + 0.007*\"time\" + 0.006*\"track\" + 0.006*\"love\" + 0.006*\"way\" + 0.005*\"get\" + 0.005*\"much\"'),\n", " (2,\n", " '0.026*\"new\" + 0.015*\"single\" + 0.015*\"album\" + 0.012*\"track\" + 0.010*\"release\" + 0.010*\"ep\" + 0.009*\"year\" + 0.009*\"debut\" + 0.008*\"first\" + 0.008*\"remix\"')]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "n_topics = 3\n", "\n", "corpus = [dictionary.doc2bow(text) for text in texts]\n", "# Train the model on the corpus.\n", "lda = LdaModel(corpus, id2word=dictionary, num_topics=n_topics, iterations=iterations, passes=passes, eval_every=eval_every)\n", "#lda = LdaModel(corpus, id2word=dictionary, num_topics=n_topics)\n", "lda.print_topics(n_topics)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "p = pyLDAvis.gensim.prepare(lda, corpus, dictionary)\n", "pyLDAvis.save_html(p, f'lda_{n_topics}topics.html')" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(0, 0.94405675) tribal chants are pitched warped and layered all while being wrapped in waves of warm synths and building percussion\n", "(2, 0.696002) artist new live lp heaven on earth is in stores now\n", "(2, 0.5910036) in true artist fashion he has tantalised everyone with a series of sporadic uploading of tracks to his soundcloud and the latest is a beautiful cut titled the light featuring the ever soulful vocals courtesy of denai moore who has also worked with fantastic mr fox 3\n", "(2, 0.9425159) now hes back with another single song_title offering another taste of his forthcoming solo project artist s demo\n", "(1, 0.6511736) if youre a bit familiar with artist youll probably recognise his signature sound\n", "(0, 0.84212404) its first half is a lush idyllic soundscape before it unfurls into a hand clapping hip shaking number\n", "(2, 0.9047589) the ep is due to be released on august 12th 2013\n", "(2, 0.9256436) aka ben moorhouse and leo duncan will release their debut album\n", "(1, 0.7314071) look numbers dont mean everything but it means that i probably listened to their previous single about 900 thousand times which means over 100k people listened to that song\n", "(0, 0.5583165) we ve seen him dive into all sorts of dance pop trance electro and this time hes returned to his version of progressive club house\n" ] } ], "source": [ "for i in range(10):\n", " print(max(lda[corpus[i]],key=itemgetter(1)), datasets.normalize_string(sents[i]))" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Counter({1: 22837, 3: 39023, 2: 42607})" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Counter([max(lda[corpus[i]], key=itemgetter(1))[0] + 1 for i in range(len(texts))])" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "out = sorted([f'{max(lda[corpus[i]], key=itemgetter(1))} {datasets.normalize_string(sents[i])}\\n' for i in range(len(texts))], reverse=True)\n", "with open(f'sentence_{n_topics}topics.txt', 'w') as f:\n", " f.writelines(out)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Most \"representative\":\n", "- **Topic 0 (tour dates, song description) (*)**:\n", " - (0, 0.99057865) columbus oh a r music bar 02 06 grand rapids mi calvin college 02 07 detroit mi el club 02 09 madison wi high noon saloon 02 10 chicago il thalia hall 02 11 minneapolis mn fine line 02 12 milwaukee wi turner hall 02 15 portland or doug fir 02 16 vancouver bc biltmore cabaret 02 17 seattle wa barboza 02 18 seattle wa barboza 02 20 san francisco ca the independent 02 22\n", " - (0, 0.98950344) 09 03 rattvik sweden dalhalla 09 05 helsinki finland tavastia 09 09 gdansk poland shakespeare theatre 09 10 warsaw poland palladium 09 12 prague czech republic lucerna bar 09 13 budapest hungary a38 09 15 zagreb croatia kino sc 09 16 milan italy fabrique 09 17 vienna austria wiener konserthaus 10 07 los angeles ca greek theatre 10 08 berkeley ca greek theatre 11 27 singapore singapore neon lights festival\n", " - ...\n", " - (0, 0.97096324) the music is stripped back and sparse and the wonderfully diaphanous rnb tinged vocals drift through shining and sparkling over dark heavy reverb saturated drums and synth chords until the powerful harmonised chorus hits\n", " - (0, 0.97088146) with the exception of some swelling strings and goddards vocals kozes mix largely starts from scratch replacing mayers sleek disco pop with a plucked mbira melody and a loping drum groove of shakers and toms\n", "- **Topic 1 (repetitive nonsense, personal-style writing)**:\n", " - (1, 0.9931264) dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite on the streets dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite on the streets\n", " - (1, 0.9794965) eh ah eh ah eh ah eh eh ah eh ah oh eh ah eh ah eh ah eh eh ah eh ah oh i know that you must feel like facing with ruin facing with ruin\n", " - (1, 0.9780036) and then a little bit of guilt took over my insides and i began to feel bad for the current girl i was with who made everything so much sunnier and i though to myself that i must be a horrible human being because all i could do is fantasize about this ex and i running into one anothers arms locking tight and making love for days after\n", " - (1, 0.977541) david whether its a product of the always on culture that consumes us or the way that culture spurs an inevitably distracted cultural focus there is something kind of beautiful about investing in an artist from the get go and seeing them develop into the kind of artist that youd be happy to lament i knew about them before they were big as the bandwagon enthusiasm rolls by\n", "- **Topic 2 (expository language on artists)**:\n", " - (2, 0.98588204) after having released their critically acclaimed self titled debut ep this past september on epic records which featured standout cuts such as girls your age new bohemia and bloodstream all of which have charted on hype machines top 5 as well as climbed into the top 15 or higher on spotifys global viral charts los angeles based quartet artist now return with their exquisite new follow up single called song_title which further cements their reputation as one of todays most exciting new bands\n", " - (2, 0.98319656) the moniker of a platinum selling producer who in the past has worked with some of today most well known acts artist is now stepping out on his own and has today unleashed his eponymous debut single titled song_title which also serves as the first track to be be lifted from his forthcoming debut ep due out later this year via evan bogarts new label crooked paintings stalgia annabel jones and otis english\n", " - (2, 0.9823741) having previously produced some stellar remixes for the likes of kiri tse nola wren and black coast new york baed producer artist has today unveiled his new original single entitled forever which features nashville songstress remmi and serves as the lead single and title track to be lifted from his forthcoming debut ep which is due out later this month\n", " - (2, 0.98140657) having originally released his notorious single song_title in his local australia in 2013 to incredible success it was the 3 most played track that year on the countrys no 1 radio station triple j and featured a star studded video with cameos from label mates flume chet faker and jagwar ma the uk will finally see a release on 26th july through future classic\n", "\n", "**(*)** desirable topic (_although, note that I don't want the tour dates at top of the topic..._)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### n_topics=4" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(0,\n", " '0.015*\"track\" + 0.011*\"vocals\" + 0.011*\"pop\" + 0.008*\"sound\" + 0.006*\"song\" + 0.006*\"like\" + 0.006*\"production\" + 0.005*\"vocal\" + 0.004*\"electronic\" + 0.004*\"house\"'),\n", " (1,\n", " '0.016*\"one\" + 0.014*\"like\" + 0.011*\"song\" + 0.011*\"time\" + 0.011*\"music\" + 0.008*\"get\" + 0.007*\"us\" + 0.006*\"im\" + 0.006*\"know\" + 0.006*\"love\"'),\n", " (2,\n", " '0.009*\"music\" + 0.009*\"tour\" + 0.008*\"live\" + 0.005*\"10\" + 0.005*\"festival\" + 0.004*\"show\" + 0.004*\"dates\" + 0.003*\"2\" + 0.003*\"club\" + 0.003*\"london\"'),\n", " (3,\n", " '0.029*\"new\" + 0.020*\"single\" + 0.020*\"album\" + 0.016*\"track\" + 0.014*\"release\" + 0.013*\"ep\" + 0.012*\"debut\" + 0.011*\"first\" + 0.010*\"year\" + 0.010*\"released\"')]" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "n_topics = 4\n", "\n", "corpus = [dictionary.doc2bow(text) for text in texts]\n", "# Train the model on the corpus.\n", "lda = LdaModel(corpus, id2word=dictionary, num_topics=n_topics, iterations=iterations, passes=passes, eval_every=eval_every)\n", "#lda = LdaModel(corpus, id2word=dictionary, num_topics=n_topics)\n", "lda.print_topics(n_topics)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "p = pyLDAvis.gensim.prepare(lda, corpus, dictionary)\n", "pyLDAvis.save_html(p, f'lda_{n_topics}topics.html')" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(0, 0.9373901) tribal chants are pitched warped and layered all while being wrapped in waves of warm synths and building percussion\n", "(3, 0.7175353) artist new live lp heaven on earth is in stores now\n", "(3, 0.403456) in true artist fashion he has tantalised everyone with a series of sporadic uploading of tracks to his soundcloud and the latest is a beautiful cut titled the light featuring the ever soulful vocals courtesy of denai moore who has also worked with fantastic mr fox 3\n", "(3, 0.93666035) now hes back with another single song_title offering another taste of his forthcoming solo project artist s demo\n", "(1, 0.3998728) if youre a bit familiar with artist youll probably recognise his signature sound\n", "(0, 0.8428147) its first half is a lush idyllic soundscape before it unfurls into a hand clapping hip shaking number\n", "(3, 0.89285654) the ep is due to be released on august 12th 2013\n", "(3, 0.91666096) aka ben moorhouse and leo duncan will release their debut album\n", "(1, 0.58346903) look numbers dont mean everything but it means that i probably listened to their previous single about 900 thousand times which means over 100k people listened to that song\n", "(0, 0.34985387) we ve seen him dive into all sorts of dance pop trance electro and this time hes returned to his version of progressive club house\n" ] } ], "source": [ "for i in range(10):\n", " print(max(lda[corpus[i]],key=itemgetter(1)), datasets.normalize_string(sents[i]))" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Counter({1: 32601, 4: 30634, 2: 31296, 3: 9936})" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Counter([max(lda[corpus[i]], key=itemgetter(1))[0] + 1 for i in range(len(texts))])" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "out = sorted([f'{max(lda[corpus[i]], key=itemgetter(1))} {datasets.normalize_string(sents[i])}\\n' for i in range(len(texts))], reverse=True)\n", "with open(f'sentence_{n_topics}topics.txt', 'w') as f:\n", " f.writelines(out)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Most \"representative\":\n", "- **Topic 0 (song description) (*)**:\n", " - (0, 0.97644436) beginning with driving drums and bass paired with his songbird vocal harmonies the track quickly disintegrates into a perfectly chaotic piano driven bridge during which he asks will you lose your mind for me before catapulting us into a chorus that showcases his vocal range as he sings on the high and low notes of a two octave span\n", " - (0, 0.97541976) a real stomper permeated by a sort of epic vibe thanks to the combination of early 90s carefree acid house screamadelica style vibes alongside shuffling lazy beats come together style choirs and rather sublime simple minds esque vocals\n", " - (0, 0.9748967) it builds slowly with an immediately infectious synth loop and resounding claps like a syringe being carefully drawn before immense bass booming drums bell tings intricate tribal percussion and contorted synths inject the beat with a barely containable energy and potency\n", " - ...\n", " - (0, 0.9730359) a full on blissful sensory explosion with an inescapable energy and cheeky flamboyance sees choppy production incessant synth stabs sparkling synths sequenced blips and beeps and heavy hitting bass all combine for an undeniably catchy and fun track\n", "- **Topic 1 (repetitive nonsense, personal-style writing)**:\n", " - (1, 0.99225366) dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite on the streets dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite on the streets\n", " - (1, 0.97551954) it have you ever sat very quietly with closed eyesand watched the movement of your own thinking have you watched your mind working or rather has your mind watched itself in operation just to see what your thoughts are what your feelings are how you look at the trees at the flowers at the birds at people how you respond to a suggestion or react to a new idea have you ever done this\n", " - ...\n", " - (1, 0.96191865) it was a distraction as a way of being kind of having my mind on something that was active and that i was actually doing something instead of just like lying in bed sulking and crying and all that stuff which is also healthy to get that stuff out\n", " - (1, 0.9602497) but whatever your preference and theres a million and one of them it seems two things hold true humans are programmed to make love and we all too often get broken in the process\n", "- **Topic 2 (tour dates, repeated phrases across sentences)**:\n", " - (2, 0.99282616) 01 27 toronto on lees palace 01 28 montreal qc fairmount theatre 01 30 philadelphia pa union transfer 01 31 boston ma paradise 02 01 new york ny webster hall 02 03 baltimore md ottobar 02 04 columbus oh a r music bar 02 06 grand rapids mi calvin college 02 07 detroit mi el club 02 09 madison wi high noon saloon 02 10 chicago il thalia hall 02 11 minneapolis mn fine line 02 12 milwaukee wi turner hall 02 15 portland or doug fir 02 16 vancouver bc biltmore cabaret 02 17 seattle wa barboza 02 18 seattle wa barboza 02 20 san francisco ca the independent\n", " - (2, 0.9909336) 02 10 berlin de heimathafen 02 11 leipzig de ut connewitz 02 12 vienna at flex 02 14 budapest hu akvarium klub 02 15 prague cz meetfactory 02 16 warsaw pl worldwide festival at niebo 02 18 copenhagen dk pumpehuset 02 19 stockholm se kagelbanan 02 20 oslo no parkteatret 02 22 cologne de gloria theatre 02 23 amsterdam nl melkweg 02 24 paris fr la gaite lyrique 02 25 brussels be botanique orangerie 02 27 london uk electric brixton 02 28 london uk electric brixton\n", " - ...\n", " - (2, 0.9356049) they have also landed support slots with acts including idles peace superglu and get inuit\n", " - ...\n", " - (2, 0.9309552) get an eyeful of even more pop music coverage from artist interviews to exclusive performances on sitename s youtube channel\n", " - (2, 0.9309547) get an eyeful of even more pop music coverage from artist interviews to exclusive performances on sitename s youtube channel\n", "- **Topic 3 (*www*s, expository language on artist and releases)**:\n", " - (3, 0.9721085) https www facebook com justagent https soundcloud com just a gent https twitter com justagentdj https www facebook com lanksmusic https soundcloud com lanksmusic https twitter com lanksmusic\n", " - ...\n", " - (3, 0.9683195) the uk based producer dj duo liam ivory and chris davids better known as artist release their first new song since their second album portraits which they released on counter records in 2015\n", " - (3, 0.96821195) back to topmusic written by ubbsjuly 16 2014 since the announce of artist s single song_title last week weve been patiently waiting for what will be the first taste from his forthcoming debut lp later this year on wedidit records\n", " - (3, 0.96730804) premiering as zane lowes hottest record in the world last night we finally get a taste of what the scottish soulsters been up to in his absence as he returns with new single song_title taken from the forthcoming new album caustic love\n", "\n", "**(*)** desirable topic" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### n_topics=5" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(0,\n", " '0.014*\"remix\" + 0.010*\"soundcloud\" + 0.009*\"check\" + 0.008*\"music\" + 0.007*\"video\" + 0.007*\"stream\" + 0.006*\"facebook\" + 0.006*\"via\" + 0.005*\"free\" + 0.005*\"available\"'),\n", " (1,\n", " '0.015*\"like\" + 0.014*\"one\" + 0.011*\"song\" + 0.011*\"music\" + 0.010*\"time\" + 0.010*\"track\" + 0.007*\"love\" + 0.006*\"us\" + 0.006*\"get\" + 0.006*\"something\"'),\n", " (2,\n", " '0.007*\"song\" + 0.006*\"years\" + 0.005*\"two\" + 0.005*\"music\" + 0.005*\"band\" + 0.005*\"work\" + 0.004*\"three\" + 0.004*\"working\" + 0.004*\"later\" + 0.004*\"one\"'),\n", " (3,\n", " '0.023*\"pop\" + 0.019*\"vocals\" + 0.019*\"track\" + 0.009*\"production\" + 0.008*\"electronic\" + 0.008*\"house\" + 0.008*\"sound\" + 0.008*\"vocal\" + 0.008*\"indie\" + 0.007*\"synth\"'),\n", " (4,\n", " '0.031*\"new\" + 0.021*\"single\" + 0.021*\"album\" + 0.015*\"release\" + 0.014*\"ep\" + 0.013*\"track\" + 0.012*\"debut\" + 0.011*\"year\" + 0.011*\"first\" + 0.011*\"released\"')]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "n_topics = 5\n", "\n", "corpus = [dictionary.doc2bow(text) for text in texts]\n", "# Train the model on the corpus.\n", "lda = LdaModel(corpus, id2word=dictionary, num_topics=n_topics, iterations=iterations, passes=passes, eval_every=eval_every)\n", "#lda = LdaModel(corpus, id2word=dictionary, num_topics=n_topics)\n", "lda.print_topics(n_topics)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "p = pyLDAvis.gensim.prepare(lda, corpus, dictionary)\n", "pyLDAvis.save_html(p, f'lda_{n_topics}topics.html')" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(2, 0.56225455) tribal chants are pitched warped and layered all while being wrapped in waves of warm synths and building percussion\n", "(4, 0.8843004) artist new live lp heaven on earth is in stores now\n", "(4, 0.458874) in true artist fashion he has tantalised everyone with a series of sporadic uploading of tracks to his soundcloud and the latest is a beautiful cut titled the light featuring the ever soulful vocals courtesy of denai moore who has also worked with fantastic mr fox 3\n", "(4, 0.93293434) now hes back with another single song_title offering another taste of his forthcoming solo project artist s demo\n", "(1, 0.41141158) if youre a bit familiar with artist youll probably recognise his signature sound\n", "(3, 0.5411828) its first half is a lush idyllic soundscape before it unfurls into a hand clapping hip shaking number\n", "(4, 0.8856973) the ep is due to be released on august 12th 2013\n", "(4, 0.46677127) aka ben moorhouse and leo duncan will release their debut album\n", "(1, 0.5935679) look numbers dont mean everything but it means that i probably listened to their previous single about 900 thousand times which means over 100k people listened to that song\n", "(3, 0.61135703) we ve seen him dive into all sorts of dance pop trance electro and this time hes returned to his version of progressive club house\n" ] } ], "source": [ "for i in range(10):\n", " print(max(lda[corpus[i]],key=itemgetter(1)), datasets.normalize_string(sents[i]))" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Counter({3: 9414, 5: 29043, 2: 41333, 4: 16679, 1: 7998})" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Counter([max(lda[corpus[i]], key=itemgetter(1))[0] + 1 for i in range(len(texts))])" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "out = sorted([f'{max(lda[corpus[i]], key=itemgetter(1))} {datasets.normalize_string(sents[i])}\\n' for i in range(len(texts))], reverse=True)\n", "with open(f'sentence_{n_topics}topics.txt', 'w') as f:\n", " f.writelines(out)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Most \"representative\":\n", "- **Topic 0 (promotional writing, \"check it outs\"s, social media sharing)**:\n", " - (0, 0.9661507) artist get a grip featuring gibbz download nonono pumpin blood the chainsmokers remix download hlm snowflakes original mix download rank1 airwave ashley wallbridge unofficial bootleg remix\n", " - (0, 0.9578919) facebook com ghostloft soundcloud com ghostloft twitter com ghostloft facebook com bearsonmusic sundcloud com bearsonmusic twitter com bearsonmusic\n", " - (0, 0.9578576) facebook com manilakilla soundcloud com manilakilla twitter com manilakilla facebook com bearsonmusic sundcloud com bearsonmusic twitter com artist music\n", " - ...\n", " - (0, 0.92644477) check out the track below and make sure you grab a copy for yourself tonight when it becomes available on itunes\n", "- **Topic 1 (personal-style writing)**:\n", " - (1, 0.9713569) but the more i edited and the more i meditated and the more i considered the wholeness of the person of tonya harding i began to feel a conviction to write something with dignity and grace to pull back the ridiculous tabloid fodder and take stock of the real story of this strange and magnificent america hero\n", " - ...\n", " - (1, 0.9617286) i think what people should know is that i only ever write whats real to me every song that i ever do will come from a real feeling and a real time when did you start making music and who or what inspired you to start\n", " - (1, 0.95983) a celebration of friendship and love sofi tukker say about this about the tune to the friends we have had long before sofi tukker the friends we have met along the way and the friends we have not even met yet\n", " - (1, 0.9576478) there are not many words at this time of night but the fact that i have been too busy to even talk about a new artist track is either a really great thing or really really really bad\n", "- **Topic 2 (common prefixings, expository language on artists and releases)**:\n", " - (2, 0.9496193) photo by rachel pony cassells every monday through friday we deliver a different song as part of our song of the day podcast subscription\n", " - ...\n", " - (2, 0.9464452) the recoding of song_title is noticeably different from their previous releases as bandleader ian parton returned to artist s roots by writing performing and producing all of the songs himself\n", " - (2, 0.946243) photo by morgen schuler every monday through friday we deliver a different song as part of our song of the day podcast subscription\n", " - ...\n", " - (2, 0.9426509) collaborating with an array of artists the band has performed with the likes of ghostface killah mick jenkins and sam herring to name but a few\n", "- **Topic 3 (non-English language, song description, repetitive nonsense) (*)**:\n", " - (3, 0.96799034) alors on est sympa on toffre de decouvrir song_title de limprononcable groupe artist parce que ce morceau saurait te remettre dans le droit chemin celui qui saurait taider\n", " - (3, 0.9652073) avec leur singularite qui melange douceur violente et force exquise artist avec ce nouveau titre fait battre les coeurs de pulsations temp etueuses\n", " - ...\n", " - (3, 0.94280005) its bright and invigorating with its simple guitar melodies crisp summery beats and golden female vocal sounds from an unnamed artist\n", " - ...\n", " - (3, 0.92975795) dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite on the streets dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite dy dy dy dy dy dy dy dy dy dy dy dy dy dy dynamite on the streets\n", "- **Topic 4 (tour dates, expository language on artists)**:\n", " - (4, 0.9812857) sayreville nj starland ballroom 10 10 new york ny hammerstein ballroom 10 11 new york ny hammerstein ballroom sold out 10 12 rochester ny water street music hall 10 15 toronto on danforth music hall 10 16 cleveland oh house of blues 10 18 detroit\n", " - ...\n", " - (4, 0.9634252) artist has independently released this new track song_title partnering with plus1 to benefit pivot canada aclu usa and w a v e eu and support the rights marginalized groups across the world\n", " - ...\n", " - (4, 0.9598959) the swedish bombshell artist is back with a new track called song_title its the last single before the release of her debut full length album kiddo which is set to release this spring via rca\n", " - (4, 0.95980597) last week we featured two new tracks from portland producer dan vidmar aka artist which came with news of a new mixtape he will be releasing very soon called 4wz\n", "\n", "**(*)** desirable topic (_note that the most desirable topic here is still highly fragmented_)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### POS-based topics" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[['JJ', 'NN', 'VBD', 'PRP', 'JJ', 'NN', 'NN', 'NN', 'NN'],\n", " ['NN', 'VBG', 'NNS', 'NN', 'VBG', 'NNS', 'NN'],\n", " ['JJ', 'JJ', 'NN', 'VBG', 'RB', 'VBN'],\n", " ['RB', 'NN', 'JJ', 'NN'],\n", " ['NNS', 'NNS', 'NN', 'NN']]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import spacy\n", "nlp = spacy.load('en')\n", "\n", "[[token.tag_ for token in nlp(' '.join(text))] for text in texts[:5]]" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[['JJ', 'NN', 'VBD', 'PRP', 'JJ', 'NN', 'NN', 'NN', 'NN'],\n", " ['NN', 'VBG', 'NNS', 'NN', 'VBG', 'NNS', 'NN'],\n", " ['JJ', 'JJ', 'NN', 'VBG', 'RB', 'VBN']]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pos_texts = [[token.tag_ for token in nlp(' '.join(text))] for text in texts]\n", "pos_texts[:3]" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(0,\n", " '0.402*\"LS\" + 0.247*\"XX\" + 0.145*\"UH\" + 0.089*\"CC\" + 0.058*\"FW\" + 0.019*\"NN\" + 0.017*\"ADD\" + 0.008*\"DT\" + 0.006*\"AFX\" + 0.006*\"NFP\"'),\n", " (1,\n", " '0.291*\"NN\" + 0.236*\"CD\" + 0.210*\"VB\" + 0.058*\"PRP\" + 0.046*\"IN\" + 0.042*\"MD\" + 0.037*\"RB\" + 0.022*\"VBN\" + 0.014*\"NNS\" + 0.011*\"NNP\"'),\n", " (2,\n", " '0.384*\"NN\" + 0.203*\"JJ\" + 0.113*\"NNS\" + 0.069*\"RB\" + 0.046*\"VBG\" + 0.045*\"VBP\" + 0.035*\"VBZ\" + 0.035*\"VBN\" + 0.033*\"VBD\" + 0.021*\"IN\"')]" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pos_dictionary = Dictionary(pos_texts)\n", "\n", "pos_corpus = [pos_dictionary.doc2bow(text) for text in pos_texts]\n", "# Train the model on the corpus.\n", "pos_lda = LdaModel(pos_corpus, id2word=pos_dictionary, num_topics=n_topics)\n", "pos_lda.print_topics(n_topics)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/ubuntu/src/anaconda3/envs/fastai/lib/python3.6/site-packages/pyLDAvis/_prepare.py:257: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n", "of pandas will change to not sort by default.\n", "\n", "To accept the future behavior, pass 'sort=True'.\n", "\n", "To retain the current behavior and silence the warning, pass sort=False\n", "\n", " return pd.concat([default_term_info] + list(topic_dfs))\n" ] }, { "data": { "text/html": [ "\n", "\n", "\n", "\n", "
\n", "" ], "text/plain": [ "PreparedData(topic_coordinates= x y topics cluster Freq\n", "topic \n", "2 -0.207886 -0.165670 1 1 75.660324\n", "1 -0.212328 0.164507 2 1 18.364195\n", "0 0.420214 0.001163 3 1 5.975476, topic_info= Category Freq Term Total loglift logprob\n", "term \n", "12 Default 72180.000000 CD 72180.000000 30.0000 30.0000\n", "26 Default 39956.000000 LS 39956.000000 29.0000 29.0000\n", "10 Default 64211.000000 VB 64211.000000 28.0000 28.0000\n", "1 Default 574127.000000 NN 574127.000000 27.0000 27.0000\n", "22 Default 24595.000000 XX 24595.000000 26.0000 26.0000\n", "0 Default 256121.000000 JJ 256121.000000 25.0000 25.0000\n", "14 Default 14379.000000 UH 14379.000000 24.0000 24.0000\n", "2 Default 17823.000000 PRP 17823.000000 23.0000 23.0000\n", "9 Default 39929.000000 IN 39929.000000 22.0000 22.0000\n", "24 Default 8899.000000 CC 8899.000000 21.0000 21.0000\n", "16 Default 12864.000000 MD 12864.000000 20.0000 20.0000\n", "23 Default 5813.000000 FW 5813.000000 19.0000 19.0000\n", "4 Default 146498.000000 NNS 146498.000000 18.0000 18.0000\n", "5 Default 57868.000000 VBG 57868.000000 17.0000 17.0000\n", "6 Default 97701.000000 RB 97701.000000 16.0000 16.0000\n", "7 Default 50508.000000 VBN 50508.000000 15.0000 15.0000\n", "11 Default 44712.000000 VBZ 44712.000000 14.0000 14.0000\n", "3 Default 41889.000000 VBD 41889.000000 13.0000 13.0000\n", "13 Default 8606.000000 DT 8606.000000 12.0000 12.0000\n", "17 Default 3638.000000 NNP 3638.000000 11.0000 11.0000\n", "38 Default 1679.000000 ADD 1679.000000 10.0000 10.0000\n", "8 Default 59522.000000 VBP 59522.000000 9.0000 9.0000\n", "21 Default 7544.000000 JJS 7544.000000 8.0000 8.0000\n", "29 Default 578.000000 AFX 578.000000 7.0000 7.0000\n", "36 Default 555.000000 NFP 555.000000 6.0000 6.0000\n", "27 Default 887.000000 WP 887.000000 5.0000 5.0000\n", "19 Default 4116.000000 JJR 4116.000000 4.0000 4.0000\n", "28 Default 298.000000 SYM 298.000000 3.0000 3.0000\n", "39 Default 427.000000 TO 427.000000 2.0000 2.0000\n", "20 Default 1572.000000 RBR 1572.000000 1.0000 1.0000\n", "... ... ... ... ... ... ...\n", "46 Topic3 8.810234 -RRB- 9.504338 2.7417 -9.3319\n", "45 Topic3 2.114194 $ 3.532125 2.3043 -10.7592\n", "44 Topic3 0.572564 -LRB- 1.261868 2.0273 -12.0655\n", "41 Topic3 0.625676 : 1.829840 1.7444 -11.9768\n", "47 Topic3 0.782455 '' 2.517551 1.6489 -11.7532\n", "42 Topic3 0.665498 `` 2.477416 1.5031 -11.9151\n", "43 Topic3 0.593498 NNPS 2.647862 1.3220 -12.0296\n", "48 Topic3 0.993237 , 4.597446 1.2852 -11.5146\n", "13 Topic3 829.934021 DT 8606.333008 0.4786 -4.7865\n", "40 Topic3 0.588071 PDT 20.644333 -0.7408 -12.0388\n", "30 Topic3 0.676909 HYPH 29.612305 -0.9609 -11.8981\n", "35 Topic3 0.592897 WRB 136.718674 -2.6232 -12.0306\n", "15 Topic3 0.667450 POS 171.002121 -2.7285 -11.9121\n", "1 Topic3 1882.504272 NN 574127.000000 -2.9027 -3.9675\n", "37 Topic3 0.673277 PRP$ 275.538116 -3.1968 -11.9035\n", "18 Topic3 0.617108 . 276.802521 -3.2885 -11.9906\n", "31 Topic3 0.612949 WP$ 318.997437 -3.4372 -11.9973\n", "34 Topic3 0.605135 RBS 344.389130 -3.5266 -12.0102\n", "39 Topic3 0.584219 TO 427.415405 -3.7777 -12.0453\n", "27 Topic3 0.602893 WP 887.924866 -4.4774 -12.0139\n", "33 Topic3 0.600254 WDT 1230.956665 -4.8084 -12.0183\n", "32 Topic3 0.608424 RP 1343.615967 -4.8825 -12.0047\n", "17 Topic3 0.702497 NNP 3638.015137 -5.7348 -11.8610\n", "6 Topic3 0.624698 RB 97701.250000 -9.1426 -11.9783\n", "9 Topic3 0.619469 IN 39929.363281 -8.2563 -11.9868\n", "8 Topic3 0.617372 VBP 59522.718750 -8.6589 -11.9901\n", "4 Topic3 0.613425 NNS 146498.125000 -9.5660 -11.9966\n", "0 Topic3 0.613425 JJ 256121.109375 -10.1246 -11.9966\n", "21 Topic3 0.611815 JJS 7544.165039 -6.6023 -11.9992\n", "7 Topic3 0.610097 VBN 50508.363281 -8.5065 -12.0020\n", "\n", "[141 rows x 6 columns], token_table= Topic Freq Term\n", "term \n", "45 2 0.283116 $\n", "45 3 0.566231 $\n", "47 2 0.397211 ''\n", "47 3 0.397211 ''\n", "48 1 0.217512 ,\n", "48 2 0.435024 ,\n", "48 3 0.217512 ,\n", "44 3 0.792476 -LRB-\n", "46 3 0.946936 -RRB-\n", "18 2 0.997101 .\n", "18 3 0.003613 .\n", "41 1 0.546496 :\n", "41 2 0.546496 :\n", "41 3 0.546496 :\n", "38 3 0.999861 ADD\n", "29 3 0.999370 AFX\n", "24 3 0.999950 CC\n", "12 1 0.000028 CD\n", "12 2 0.999969 CD\n", "12 3 0.000014 CD\n", "13 1 0.780123 DT\n", "13 2 0.123514 DT\n", "13 3 0.096441 DT\n", "25 1 0.985922 EX\n", "25 2 0.013917 EX\n", "25 3 0.000732 EX\n", "23 3 0.999906 FW\n", "30 1 0.945553 HYPH\n", "30 3 0.033770 HYPH\n", "9 1 0.651250 IN\n", "... ... ... ...\n", "3 1 0.989946 VBD\n", "3 2 0.010050 VBD\n", "3 3 0.000024 VBD\n", "5 1 0.996338 VBG\n", "5 2 0.003646 VBG\n", "5 3 0.000017 VBG\n", "7 1 0.864273 VBN\n", "7 2 0.135720 VBN\n", "7 3 0.000020 VBN\n", "8 1 0.943270 VBP\n", "8 2 0.056718 VBP\n", "8 3 0.000017 VBP\n", "11 1 0.990993 VBZ\n", "11 2 0.008991 VBZ\n", "11 3 0.000022 VBZ\n", "33 1 0.995973 WDT\n", "33 2 0.003250 WDT\n", "33 3 0.000812 WDT\n", "27 1 0.011262 WP\n", "27 2 0.988822 WP\n", "27 3 0.001126 WP\n", "31 1 0.996873 WP$\n", "31 3 0.003135 WP$\n", "35 1 0.980115 WRB\n", "35 2 0.014629 WRB\n", "35 3 0.007314 WRB\n", "22 3 0.999985 XX\n", "42 1 0.403646 ``\n", "42 2 0.403646 ``\n", "42 3 0.403646 ``\n", "\n", "[116 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[3, 2, 1])" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pyLDAvis.gensim.prepare(pos_lda, pos_corpus, pos_dictionary)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Counter({3: 158910, 2: 31753, 1: 52064})" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Counter([max(pos_lda[pos_corpus[i]], key=itemgetter(1))[0] + 1 for i in range(len(pos_texts))])" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(2, 0.75887287) new music artist reached out to us with the powerful sentiment of their alt folk anthem song_title\n", "(2, 0.9140886) the song is about coping with the feelings of loss after losing friends to addiction\n", "(2, 0.9022116) the heavy subject matter is touching and eloquently delivered\n", "(2, 0.8601445) and its hard to deny the powerful chorus of\n", "(2, 0.8613848) but if its the drugs the women the wine the weed\n", "(2, 0.92435616) recommended for fans of mumford sons edward sharpe or noah and the whale\n", "(1, 0.82347447) drop artist a like on instagram while youre at it\n", "(2, 0.97328794) folk rockers artist have debuted their new song aeuroe song_title aeur an attempt by guitarist vocalist matt quinn to find some solace after tragedy aeur in this case the friends in his community lost too young to drugs and the devastation they left behind\n", "(2, 0.9543618) itaeur tm s a compellingly open hearted piece of songwriting that exemplifies why artist have found such a passionate following in little more than a year as a band\n", "(2, 0.7302367) see artist live in la on december 8th at the lodge room\n" ] } ], "source": [ "for i in range(10):\n", " print(max(pos_lda[pos_corpus[i]],key=itemgetter(1)), normalize_string(sents[i]))" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "out = sorted([f'{max(pos_lda[pos_corpus[i]], key=itemgetter(1))[0] + 1} {normalize_string(sents[i])}\\n' for i in range(len(pos_texts))])\n", "with open('pos_topics.txt', 'w') as f:\n", " f.writelines(out)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## VAE loss and KL plots" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "\n", "plots = pd.read_csv('../../pytorch-text-vae/pytorchtextvae/plots.txt', sep='\\t', header=None)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/ubuntu/src/anaconda3/envs/fastai/lib/python3.6/site-packages/ipykernel_launcher.py:12: DeprecationWarning: `spline` is deprecated!\n", "spline is deprecated in scipy 0.19.0, use Bspline class instead.\n", " if sys.path[0] == '':\n" ] }, { "data": { "text/plain": [ "[]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from matplotlib import pyplot as plt\n", "import numpy as np\n", "from scipy.interpolate import spline\n", "\n", "%matplotlib inline\n", "\n", "x = plots[0]\n", "y = plots[1]\n", "\n", "x_new = np.linspace(x.min(), x.max(), 300) #300 represents number of points to make between T.min and T.max\n", "\n", "y_smooth = spline(x, y, x_new)\n", "\n", "plt.plot(x_new, y_smooth)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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