effigies

#!python3

class TypedDict(dict):
    keytype = valtype = keymap = valmap = valid_keys = typemap = None
    def __init__(self, mapping=None, **kwargs):
        if self.typemap is not None and self.valid_keys is None:
            self.valid_keys = set(self.typemap)

        super(TypedDict, self).__init__()
        if mapping is None:

effigies

#!/bin/sh
#
# /etc/chromium-browser/default
#
# Default settings for chromium-browser. This file is sourced by /bin/sh from
# /usr/bin/chromium-browser

# Options to pass to chromium-browser
MIN_SSL="tls1"
RC4="0x0004,0x0005,0xc007,0xc011"

effigies

# Based off of Mumford et al. (2011)
# Derived from a figure, as there was no actual math presented :\
# 
# It's a sort of minimal-assumption regression regularization method

import numpy as np
 
def turnerLeastSquares(designMatrix, samples):
    nuisance = np.sum(designMatrix, axis=1).reshape((designMatrix.shape[0], 1))
 

effigies

Keybase proof

I hereby claim:

• I am effigies on github.
• I am effigies (https://keybase.io/effigies) on keybase.
• I have a public key whose fingerprint is 1430 CCDA 4D04 39C7 598A 5815 D0CD EB5D 32A0 D8C7

To claim this, I am signing this object: