Real unit test (isolation, no children render)
Calls:
- constructor
- render
| #!/bin/bash | |
| # MUSTAFA ILKER SARAC | |
| # This script can be used for building multiple react-native apps from a single git repo. | |
| # It needs master files for the default configurations. | |
| # master files are generally the copy of the current config files of that git repo. | |
| # If current state of the app changes i.e. adding new 3rd party components so package.json changes; | |
| # then one should be responsible to reflect these changes to the master files to be synced with the current state of the repo. | |
| # This script can be used to alter the current state, so that new apps could be generated with new names etc. | |
| # scriptAndroid.sh | |
| # "chmod +x ./scriptAndroid" to make script executable. |
Mar 2nd, 2009
An efficient workflow for developers in Agile teams that handles features and bugs while keeping a clean and sane history.
At Hashrocket we use git both internally and in our Agile mentoring and training. Git gives us the flexibility to design a version control workflow that meets the needs of either a fully Agile team or a team
| #!/bin/bash | |
| from bs4 import BeautifulSoup | |
| import requests | |
| import urllib2 | |
| import os | |
| import re, urlparse | |
| import time | |
| import pdb | |
| from interruptingcow import timeout |
| // create file: | |
| sudo vim /usr/share/applications/intellij.desktop | |
| // add the following | |
| [Desktop Entry] | |
| Version=13.0 | |
| Type=Application | |
| Terminal=false | |
| Icon[en_US]=/home/rob/.intellij-13/bin/idea.png | |
| Name[en_US]=IntelliJ |
| function phow_caltech101() | |
| % PHOW_CALTECH101 Image classification in the Caltech-101 dataset | |
| % This program demonstrates how to use VLFeat to construct an image | |
| % classifier on the Caltech-101 data. The classifier uses PHOW | |
| % features (dense SIFT), spatial histograms of visual words, and a | |
| % Chi2 SVM. To speedup computation it uses VLFeat fast dense SIFT, | |
| % kd-trees, and homogeneous kernel map. The program also | |
| % demonstrates VLFeat PEGASOS SVM solver, although for this small | |
| % dataset other solvers such as LIBLINEAR can be more efficient. | |
| % |
| function mosaic = sift_mosaic(im1, im2) | |
| % SIFT_MOSAIC Demonstrates matching two images using SIFT and RANSAC | |
| % | |
| % SIFT_MOSAIC demonstrates matching two images based on SIFT | |
| % features and RANSAC and computing their mosaic. | |
| % | |
| % SIFT_MOSAIC by itself runs the algorithm on two standard test | |
| % images. Use SIFT_MOSAIC(IM1,IM2) to compute the mosaic of two | |
| % custom images IM1 and IM2. |
| #!/bin/bash | |
| # https://gist.github.com/robwierzbowski/5430952/ | |
| # Create and push to a new github repo from the command line. | |
| # Grabs sensible defaults from the containing folder and `.gitconfig`. | |
| # Refinements welcome. | |
| # Gather constant vars | |
| CURRENTDIR=${PWD##*/} | |
| GITHUBUSER=$(git config github.user) |
| #!/bin/bash | |
| //install opencv to machine | |
| arch=$(uname -m) | |
| if [ "$arch" == "i686" -o "$arch" == "i386" -o "$arch" == "i486" -o "$arch" == "i586" ]; then | |
| flag=1 | |
| else | |
| flag=0 | |
| fi | |
| echo "Installing OpenCV 2.4.3" | |
| mkdir OpenCV |