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git ls-tree -rz --name-only HEAD -- | xargs -0 du -kh | sort -sh -k 1,1

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sudo -i
cd
apt-get install build-essential checkinstall && apt-get build-dep imagemagick -y
wget http://www.imagemagick.org/download/ImageMagick-6.8.7-7.tar.gz
tar xzvf ImageMagick-6.8.9-1.tar.gz
cd ImageMagick-6.8.9-1/
./configure --prefix=/opt/imagemagick-6.8 && make
checkinstall

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"""
Problem:
  How to Convert PDF to Image with Python Script ?

Installation:
  I use ubuntu OS 14.04
  We use wrapper for ImageMagick [http://www.imagemagick.org/script/index.php] to Convert The PDF file
  in Python do: 
    
  $ sudo apt-get install libmagickwand-dev

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"""
This script was used to create the figures for http://jrsmith3.github.io/sample-logs-the-secret-to-managing-multi-person-projects.html from a PDF file containing some old CMU sample logs.
"""

import PyPDF2
from wand.image import Image
import io
import os

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import asyncio

async def bar(i):
    print('started', i)
    await asyncio.sleep(1)
    print('finished', i)
    if i == 5:
        raise ValueError("Foo")
    return i

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import pytest


def pytest_addoption(parser):
    parser.addoption("--integration", action="store_true", help="run integration tests")


def pytest_runtest_setup(item):
    if 'integration' in item.keywords:
        if not item.config.getoption("--integration"):

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This article has been given a more permanent home on my blog. Also, since it was first written, the development of the Promises/A+ specification has made the original emphasis on Promises/A seem somewhat outdated.

You're Missing the Point of Promises

Promises are a software abstraction that makes working with asynchronous operations much more pleasant. In the most basic definition, your code will move from continuation-passing style:

getTweetsFor("domenic", function (err, results) {
 // the rest of your code goes here.

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delcheck() {
  to_del=$1
  read -p "Delete ${to_del}? [y/N] " doit
  case "$doit" in
    [yY]) rm -rf "$to_del";;
    *) printf 'No files deleted\nExiting...\n'; exit 1;
  esac
}

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Train model using transfer learning on InceptionV3."""
from keras.applications.inception_v3 import InceptionV3
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Model
from keras.layers import Dense, GlobalAveragePooling2D

CLASSES = "daisy dandelion roses sunflowers tulips".split()

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def load_pool3_data():
  X_test_file = 'X_test_20160212-00:06:14.npy'
  y_test_file = 'y_test_20160212-00:06:14.npy'
  X_train_file = 'X_train_20160212-00:06:14.npy'
  y_train_file = 'y_train_20160212-00:06:14.npy'
  return np.load(X_train_file), np.load(y_train_file), np.load(X_test_file), np.load(y_test_file)
  
def batch_pool3_features(sess,X_input):
  """