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{
 "metadata": {
  "name": "",
  "signature": "sha256:0feedd0a35b31c9754c41d8a4b1cc4d08d77967657305f0b8f43b24c397cd132"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [

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Repository-Browsers

• goblet
• gitiles
• cgit
• gitweb
• viewgit
• gitalist
• gitlist

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[color]
	ui = auto
	branch = auto
	diff = auto
	status = auto
[core]
	excludesfile = ~/.gitignore
	whitespace = trailing-space,space-before-tab,cr-at-eol
	abbrev = 10
[merge]

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    alias gib="git branch"
    alias branch="git branch"
    alias gil="git log"
    # log is a zsh builtin
    alias gid="git diff"
    alias gidc="git diff --cached"
    alias giw="git wdiff"
    # diff is a unix utility
    alias gis="git status --ignored"
    alias status="git status"

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gc () {
    LBUFFER="git commit -m \""
    RBUFFER="\""
}
zle -N gc gc
bindkey '^gc' gc

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""" Benchmarking two techniques for compressing numpy arrays with python-blosc.
"""

import numpy
import numpy.random
import time
import blosc
import blosc.blosc_extension as ext

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Basic API (low-level)

• public libgit2 structs should be python objects (classes) - Example: git_repository => Repository()
• nameing convention: strip git_struct_name_* - Example: git_repository_config() => Repository.config()
• iterations should be implemented as a generator, if this is not possible we need to change libgit2 (other bindings will benefit from this as well)
• every method should map to one libgit2 function (exceptions are iterations)
• return values of methods
  • no lists use generators instead
  • no dictionaries use tuples or objects instead
• no instantiation of objects use strings instead (important for generators)

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# Functions to activate/deactivate Continuum Analytics Anaconda Python distribution
# by manipulating the $PATH.
export ANACONDA_PATH="$HOME/anaconda/bin"

function have_anaconda(){
    [[ -n $path[(r)$ANACONDA_PATH] ]]
}

function anaconda_on(){
    if have_anaconda ; then