I hereby claim:
- I am andrewbolster on github.
- I am bolster (https://keybase.io/bolster) on keybase.
- I have a public key whose fingerprint is 03D4 CCE9 AC04 1177 3D00 924D 49DC 9F11 AEFD 5969
To claim this, I am signing this object:
| import urllib2 | |
| from time import sleep | |
| from imgurpython import ImgurClient | |
| from imgurpython.helpers.error import ImgurClientError, ImgurClientRateLimitError | |
| def imgurlinker(x): | |
| global client | |
| try: | |
| defrag = urllib2.urlparse.urldefrag(x)[0] # To deal with post-url items eg "#0" |
| Since Farbot triggers freenodes flood detection, here's the help. | |
| <question> why not zoidberg? - Generates a Why Not Zoidberg? meme | |
| <something> does not work that way! - Generates a Morbo meme | |
| <something> is bad and you should feel bad - Generates a Zoidberg meme | |
| <things> are bad and you should feel bad - Generates a Zoidberg meme | |
| <things> do not work that way! - Generates a Morbo meme | |
| Events: | |
| alot - Shows a picture of an alot | |
| countdown [for] #meetupname# e.g. countdown punerbmeetup |
| # -*- coding: utf-8 -*- | |
| # <nbformat>3.0</nbformat> | |
| # <markdowncell> | |
| # basically, want to parse a file, load values in it into a dictionary (name, x, y, z, r, g, b), and scatter lot them, with labels based on RGB color | |
| # <codecell> | |
| %matplotlib inline |
| import os | |
| ... | |
| def thread_mask(args): | |
| # Properly Parallel RNG | |
| #http://stackoverflow.com/questions/444591/convert-a-string-of-bytes-into-an-int-python | |
| myid=current_process()._identity[0] | |
| np.random.seed(myid^struct.unpack("<L",os.urandom(4))[0]) | |
| os.nice(5) |
| def update_filter(self): | |
| ##################################################################################### | |
| # KALMAN STEP # | |
| ##################################################################################### | |
| t = self.t_index | |
| #_Y = np.vstack(np.concatenate((self.Inertial_Measurement.flatten(),self.TOF_Measurement.flatten()))) | |
| Y = np.vstack(self.SIM.Measurement) | |
| # Form estimated error correction of positions form reduced form | |
| # Y is the positions observed, and is corrected by the X_estimation from the previous round |
| def random_three_vector(): | |
| """ | |
| Generates a random 3D unit vector (direction) with a uniform spherical distribution | |
| Algo from http://stackoverflow.com/questions/5408276/python-uniform-spherical-distribution | |
| :return: | |
| """ | |
| phi = np.random.uniform(0,np.pi*2) | |
| costheta = np.random.uniform(-1,1) | |
| theta = np.arccos( costheta ) |
I hereby claim:
To claim this, I am signing this object:
| 10:51 <bolster> Is it passable to describe a movie as being "If Ed Wood and Christopher Walken had a thalidomide baby" or is that too much? | |
| 10:51 <bolster> Oh, maybe should have started with "Morning" | |
| 10:56 <clairebones> bolster: if it's the movie I think you're referring to it's probably apt | |
| 10:58 <^Richard> o_O | |
| 10:59 <bolster> clairebones: yup, just concious that as a statement it sits on the very bloodiest edge of decorum. Much like the movie. | |
| 11:02 <stealthii> film in question: http://imgur.com/C0PoSVX | |
| 11:03 <^Richard> even the description is fucking mental. | |
| 11:03 <stealthii> that's my favourite bit. | |
| 11:04 <stealthii> of course he didn't hit her | |
| 11:04 <stealthii> men don't hit. |