plamere

your_favorite_chill_tracks:
    title: your favorite chill tracks
    description: just your most chill tracks
    main: sequencer

    config:
        max_tracks: 30

    components:
        my_liked_tracks:

plamere

ability abundance acceptance accountability accuracy achievement acknowledgement acting on convictions activism adaptability administration/control adoration adventure advice affection aging gracefully allowing altruism amazement ambition anger at injustice anticipation apology appeasement appreciation appreciation of appreciation of beauty approbation appropriate conduct appropriate knowledge approval art assertiveness assumptions atonement attention attitude austerity authenticity authority authority/honesty autonomy awareness awe b balance beauty being true to oneself belief benevolence benignity bliss bravery c candor capacity to be loved capacity to love care caring caution celebration celibacy certainty chance change chaos character charity charm chastity cheerfulness chivalry choice citizenship civility clarity class cleanliness coincidence collaboration commitment communication communication/info communion community community/personalist community/supportive companionship compassion competition comple

plamere

$ python title_chain.py goats

1 Goats On A Boat by The Devil Wears Prada
2 Boat To Nowhere by Anoushka Shankar
3 Nowhere Man by Bryce Vine
4 Man Down by Rihanna
5 Down Under by Men At Work
6 Under Cover of Darkness by The Strokes
7 Darkness Between the Fireflies by Mason Jennings
8 Fireflies Made Out Of Dust by Happy Jawbone Family Band

plamere

$ python title_chain.py goats
1 Goats On A Boat by The Devil Wears Prada
2 Boat To Nowhere by Anoushka Shankar
3 Nowhere Man by Bryce Vine
4 Man Down by Rihanna
5 Down Under by Men At Work
6 Under Cover of Darkness by The Strokes
7 Darkness Between the Fireflies by Mason Jennings
8 Fireflies Made Out Of Dust by Happy Jawbone Family Band
9 Dust & Gold by OKBADLANDS

plamere

import os
import os.path
import hashlib
from httplib import HTTP
from urlparse import urlparse
import urllib
import urllib2
import simplejson as json

def  get_export_map_for_directory(path, prefix = "/"):

plamere

from pbl import *

gold = Concatenate([ArtistTopTracks('Sia'), ArtistTopTracks('Katy Perry')])
norm = PlaylistSource("Today's Top Hits")
radio = Alternate([norm, norm, norm, Shuffler(gold)])
radio = PlaylistSave(radio, 'cynical radio', 'plamere', max_size=40)

plamere

for start in xrange(0, 10000, page_size):
    response = en.get('catalog/read', id=tpid, start=start,
        results=page_size, bucket=['id:spotify'])
    if len(response['catalog']['items']) == 0:
        break

    spaids = []
    for item in response['catalog']['items']:
        if 'artist_name' in item:
            spid = item['request']['item_id']

plamere

import sys
from bs4 import BeautifulSoup
import json
import pyen
en = pyen.Pyen()

def get_fid(artist, idspace):
    if 'foreign_ids' in artist and len(artist['foreign_ids']) > 0:
        for fids in artist['foreign_ids']:
            if fids['catalog'] == idspace:

plamere

import pyen
import spotipy
import sys

'''
 get a set of images for artists that are similar to
 the given seed artist
'''

en = pyen.Pyen()

plamere

- (void) uploadTrack: (Track *)  track {
    
    NSDictionary *params = @{
                             @"filetype" : @"m4a",
                             @"api_key" : self.apiKey,
                             };
    NSFileManager *fm = [NSFileManager defaultManager];
    NSURL *audioPath = [self pathToAudio:track];
    NSString *path = [audioPath path];
    NSData *data = [fm contentsAtPath:path];