I hereby claim:
- I am misja on github.
- I am misja (https://keybase.io/misja) on keybase.
- I have a public key ASBXBkMToKKYtW9ne9alJgepmgdh9DWtNJbPQD-BjPn2zgo
To claim this, I am signing this object:
# None is of type NoneType | |
print(f"{None} is of type", type(None)) | |
# Each object contains a reference to its class, | |
# let's use this to create a new instance of NoneType | |
NewNone = None.__class__() | |
# NoneType is a *singleton*, so should be equal | |
assert NewNone is None |
{ | |
"version": "0.2.0", | |
"configurations": [ | |
{ | |
"type": "pwa-chrome", | |
// "type": "pwa-firefox", | |
// "type": "pwa-edge", | |
"request": "launch", | |
"name": "Launch Workspace", | |
"file": "${workspaceFolder}" |
I hereby claim:
To claim this, I am signing this object:
import nsq | |
import asyncio | |
import tornado | |
import tornado.ioloop | |
import tornado.platform.asyncio | |
queue = asyncio.Queue() | |
async def go(): | |
def enqueue_message(message): |
import nsq | |
import time | |
import asyncio | |
import tornado | |
import tornado.ioloop | |
import tornado.platform.asyncio | |
def pub_callback(conn, data): | |
print(data) |
import copy | |
import collections | |
from cerberus import Validator | |
class CleaningValidator(Validator): | |
def validate_clean(self, document, *args, **kwargs): | |
self.validate(document, *args, **kwargs) | |
if self.errors and self.allow_unknown == False: | |
self._clean() | |
return len(self.errors) == 0 |
import rtree | |
import cPickle | |
import osgeo.ogr | |
import shapely.wkb | |
import shapely.speedups | |
shapely.speedups.enable() | |
class FastRtree(rtree.Rtree): | |
def dumps(self, obj): |
from nltk.util import trigrams as nltk_trigrams | |
from nltk.tokenize import word_tokenize as nltk_word_tokenize | |
from nltk.probability import FreqDist | |
from nltk.corpus.util import LazyCorpusLoader | |
from nltk.corpus.reader.api import CorpusReader | |
from nltk.corpus.reader.util import StreamBackedCorpusView, concat | |
class LangIdCorpusReader(CorpusReader): | |
''' | |
LangID corpus reader |
import gdata.spreadsheet.service | |
class DocumentIterator(object): | |
index = 0 | |
entries = [] | |
def next(self): | |
if self.index >= self.count: | |
self.index = 0 | |
raise StopIteration |
from lxml import html | |
from urllib import request | |
from collections import defaultdict | |
url = "http://www.youtube.com/watch?v=IyLZ6RXJ8Eg" | |
doc = html.parse(request.urlopen(url)) | |
data = defaultdict(dict) | |
props = doc.xpath('//meta[re:test(@name|@property, "^twitter|og:.*$", "i")]', | |
namespaces={"re": "http://exslt.org/regular-expressions"}) |