HaleTom

HaleTom

# Print the line and filename, function call, the class, str representation and some other info

# Inspired by https://stackoverflow.com/a/8856387/5353461
import inspect
import re


def describe(arg):
    frame = inspect.currentframe()
    callerframeinfo = inspect.getframeinfo(frame.f_back)

HaleTom

% Based upon https://stackoverflow.com/a/45347880/5353461
% Gist at: https://gist.github.com/HaleTom/533b0ed7c51f93bfb5f71007a188bac4

function varargout = describe(varargin)
    % varargin used to accommodate variable number of input names
    st = dbstack;
    outstring = '';
    for ii = size(st, 1):-1:2
        outstring = [outstring, st(ii).file, ' > ', st(ii).name, ', line ', num2str(st(ii).line), '\n'];
    end

HaleTom

function [J grad] = nnCostFunction(nn_params, ...
                                   input_layer_size, ...
                                   hidden_layer_size, ...
                                   num_labels, ...
                                   X, Y, lambda)
%NNCOSTFUNCTION Implements the neural network cost function for a two layer
%neural network which performs classification
%   [J grad] = NNCOSTFUNCTON(nn_params, hidden_layer_size, num_labels, ...
%   X, y, lambda) computes the cost and gradient of the neural network. The
%   parameters for the neural network are "unrolled" into the vector

HaleTom

Keybase proof

I hereby claim:

• I am haletom on github.
• I am tomhale (https://keybase.io/tomhale) on keybase.
• I have a public key ASA0UCq38IWRstxf9o5_HXYCzXjb7paM7SF7QfHRykoxsAo

To claim this, I am signing this object:

HaleTom

#!/bin/bash
# Update the bt-tracker= line in aria2.conf
# Any bt-tracker= lines are removed and and a new one added at the bottom of the file

# Updates at:  https://gist.github.com/HaleTom/fe873dc2f3c5bd14f7418efefc2b91a8
# Inspiration: https://github.com/wuyuansushen/aria2c_TrackersList

set -euo pipefail
shopt -s failglob