sampsyo

diff --git a/beets/importer.py b/beets/importer.py
index 0fc11f6..52e06a4 100644
--- a/beets/importer.py
+++ b/beets/importer.py
@@ -254,7 +254,6 @@ class ImportSession(object):
         for stage_func in plugins.import_stages():
             stages.append(plugin_stage(self, stage_func))
         stages += [manipulate_files(self)]
-        stages += [finalize(self)]
         pl = pipeline.Pipeline(stages)

sampsyo

import re
import sys
import os

for path in sys.argv[1:]:
    with open(path) as f:
        contents = f.read()
    m = re.search(r'created_at: (.*)', contents)
    d, m, y = map(int, m.group(1).split('/'))

sampsyo

>>> import chromaprint
>>> chromaprint.decode_fingerprint('AQADnpmURJG44mheHKKWZDhxpAOcZ0foDeeF51AkyfAD0i8aHmQeY9KP5g-h60QeLXiCsiExHV_w53iyE1ryBpQeB714TA8a9Th5nAkuW8GV6QmiNkdy_EeZ_WhqB1PUH9X2o-J4NHpy_FpwPwj07chzVNmJSivKRIl0NFeSA8uxT0Wc6EiWKMkd-Id_9BeuXMWVGBdFI6ZzImmkB54e43hYNGGObhuaP6geJE-J-MKTPMK1hPip4AyFonlwTe3wHMmvIufxLLvwFP8Hl3gSJZGKK3sQp_SgC-ld_AqeS-gFj9MRXhQ0xUca8fDya_grPCnSHyLCL8UuHWcOKmFyTAlFtAtL4m3wwL2J_NDxkQiv4Mc_NM9w4krxw19yxA60HH2KXNOPNcGtH8xnFX5Q5senyGAsZfDB8MccbkOCME3soD6OxznKPC18J-jz4MeLh9HxnKgfNE0u_HiQvvihEhFDHXTEY09N_EO-pBz6HFqq_MiZB1d2JfiD-4dfIw-HS9iP72Dk9HgefB9y3LiG18LBI0g4KcVBHcdPOCn6hAef6_iNMx58HfzCB6GTEVpuIfvx6EnwS8N34zmYXMrQ79gXnDlDfNtDWFWSEXeCo33RNPiO3EpC6HPw_IgyHz9xgsmZBEl0WsiP67gQXGJK9El0aIkf5BZ-VMdx4tJwHdsL5sMR8YdGHmFe1FngZMpc-JgYC7kkGXxe6Bh_yDkiRx0P1wlx8DkO98eZMEgeIedwinh2NFWO6TmamEaVOT5-IcwYlOkX6Dlu_HhYCX8GzT_CpMmCZzp-7Dt4zdiTBveUoImOKokOJEdO4U2D9zgTlOFR_fjxJEdTPkfl4QeSKst85A8H9B9-NM-PH0-CH1-Oc8ePMP_Q5xF07EqEE7yQh09xYs9mNHWM74ErijiTo4mV4BdxjsTjETuP5D3C7mhGpvic48xS4suD1fhoPFGSI7-QU

sampsyo

{
  "width": 300,
  "height": 150,
  "data": [
    {
      "name": "performance",
      "values": [
        {
          "component": "compile", 
          "prog": "foo", 

sampsyo

#!/usr/bin/env python3
import requests
import json


BASE_URL = 'http://www.comicvine.com/api'
API_KEY = 'c7f4481e0a6154b8ac39580747ca8c91c3d4a321'


def dump(jo):

sampsyo

import bitstring
import random
import json


# Randomness.

def bernoulli(param):
    return random.random() <= param

sampsyo

First of all, I like the change that sorts MB candidates above non-MB ones. Thanks for that -- this prioritization definitely seems like something we want to do in general.

Thinking about how to do this kind of thing more generally got me thinking about how the matching logic was originally designed and how we can keep it simple. Specifically, the matching logic gets a lot of simplicity out of segregating the core matching/ranking stuff from the distance components. Because all the comparison stuff is complicated and messy, it's really helpful to have it hidden behind a single abstraction: distance. This also lets us add on new distance components easily without affecting the core logic.

Every time we add new special cases to the ranking and recommendation logic, we break a little bit of this abstraction. That's fine, especially when it brings features that aren't possible otherwise (like the max_rec feature), but for th

sampsyo

match:
  recommendations:
    partial: low
    tracknumber: medium
    tracklength: medium

sampsyo

#!/usr/bin/env python3
"""Simple scraper for adding This American Life episodes to Huffduffer.

TAL has the most amazing app on the App Store, but some stuff broke on
iOS 6 and it doesn't seem to get bug fixes very often. This is my ad-hoc
solution.
"""
import urllib.request
import urllib.parse
import sys

sampsyo

import java.lang.reflect.Array;
import org.vmmagic.unboxed.Address;
import org.vmmagic.unboxed.ObjectReference;
import org.vmmagic.unboxed.Offset;
import org.mmtk.vm.VM;
import org.vmmagic.pragma.Uninterruptible;
import org.jikesrvm.classloader.RVMType;
import org.jikesrvm.runtime.RuntimeEntrypoints;
import org.jikesrvm.runtime.Memory;