`Kevin Wang > Collections: Canon相片風格/Canon Picture Style. Kindly notify me with email after payment done and I will send over the picture style to you. Picture this. A cocktail bar in the middle of lanes in a residential area (most areas in Taipei are residential), packed inside with the crowd spilling into the street outside around 9pm on the.

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13 Oct 2014 is a network jukebox that allows members to play music out of the speakers in the ACM Office. It’s one of my largest personal software projects to date.

How it works Users log into the Beats web frontend and queue up songs to be played, which can be either songs that have been loaded into the application, or any video on YouTube. Songs in the queue are scheduled using an algorithm known as. This algorithm is intended for scheduling network packets, but I adapted it for music scheduling by equating songs to packets and song length to packet size.

PGPS allows for a service (in this case, play time on Beats) to be distributed fairly to multiple users. It takes into account song length, the user that queued the song, and the time at which they queued it to determine the order in which to play songs on the queue. This scheme allows for different users to be given different weights, which would grant them a larger or smaller proportion of a given amount of play time, but in my implementation all users are given equal weight. Thus, songs queued by different users will be scheduled in such a way that all users on the queue at a given point in time get a similar amount of play time per unit time, or in other words, a similar “rate” of Beats usage.

In Beats, however, users can also vote for songs, which increases their individual weights and can potentially bump them in front of nearby songs in the queue. This functionality is a feature of Beats, not part of the actual PGPS specification. [](/images/2014/10/beats-artist-screenshot.png) _Artist view. Gotovij motdtxt dlya ks 16.

Album art support has [yet to be implemented](The Beats backend itself is written as a REST API server in Python using Flask. It uses Python bindings for media player integration, and the Python library is used to retrieve YouTube stream URLs and metadata. Song metadata and queue data are stored in a MySQL database.