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########################################################## | |
# How to NEVER use Lambdas. An inneficient and yet educa-# | |
# tonal guide to the proper misuse of the lambda constru-# | |
# ct in Python 2.x. [DO NOT USE ANY OF THIS EVER] # | |
# by: e000 (13/6/11) # | |
########################################################## | |
## Part 1. Basic LAMBDA Introduction ## | |
# Well, it's worth diving straight into what lambdas are. | |
# Lambdas are pretty much anonymous "one line" functions |
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# http://rspec.info/ | |
# http://peepcode.com/products/rspec-user-stories | |
# http://dannorth.net/whats-in-a-story | |
# http://www.lukeredpath.co.uk/2006/8/29/developing-a-rails-model-using-bdd-and-rspec-part-1 | |
# http://www.benmabey.com/2008/05/19/imperative-vs-declarative-scenarios-in-user-stories/ | |
# http://www.benmabey.com/2008/02/04/rspec-plain-text-stories-webrat-chunky-bacon/ | |
# http://www.chariotsolutions.com/slides/pdfs/ete2008-IntegrationTestingWithRSpec.pdf | |
# http://www.joesniff.co.uk/ruby/telling-a-good-story-rspec-stories-from-the-trenches.html | |
# How does using stories help testing? |
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import os | |
import sys | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from pandas import DataFrame | |
from pandas.util.testing import set_trace | |
dirs = [] |
Most active GitHub users (git.io/top)
The count of contributions (summary of Pull Requests, opened issues and commits) to public repos at GitHub.com from Wed, 21 Sep 2022 till Thu, 21 Sep 2023.
Only first 1000 GitHub users according to the count of followers are taken. This is because of limitations of GitHub search. Sorting algo in pseudocode:
githubUsers
.filter(user => user.followers > 1000)
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs
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import unittest | |
# Here's our "unit". | |
def IsOdd(n): | |
return n % 2 == 1 | |
def IsaString(text): | |
#text = "Hello" | |
text = ['apples', 'bananas'] | |
return type(text) |
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"""Display Theano functions in the IPython notebook with pydotprint.""" | |
__author__ = "David Warde-Farley" | |
__copyright__ = "Copyright 2012, Universite de Montreal" | |
__credits__ = ["David Warde-Farley"] | |
__license__ = "3-clause BSD" | |
__email__ = "wardefar@iro" | |
__maintainer__ = "David Warde-Farley" | |
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int lD = 250; | |
int lnD = 500; | |
int N = 0x8; | |
int F = 0x4; | |
int RS = 0; | |
int RW = 1; | |
int E = 2; | |
int DB4 = 4; |
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