roaffix

• Use curl to get the JSON response for the latest release
• Use grep to find the line containing file URL
• Use cut and tr to extract the URL
• Use wget to download it

curl -s https://api.github.com/repos/jgm/pandoc/releases/latest \
| grep "browser_download_url.*deb" \
| cut -d : -f 2,3 \
| tr -d \" \

roaffix

#
# This Python script makes a summary of a football game by cutting
# the video around the 10 % loudest moments, which generally 
# include the goals and other important events.
# For more details, see this blog post:
# http://zulko.github.io/blog/2014/07/04/automatic-soccer-highlights-compilations-with-python/
#
# LICENCE: Creative Commons 0 - Public Domain
# I, the author of this script, wave any rights and place this work in the public domain.
#

roaffix

"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.

[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""

import torch
import numpy as np

roaffix

class DataLoader(object):
    def __init__(self, options, data_path, load_fkt, shuffle, return_paths):
        self.pairedData = None
        self.initialize(options, load_fkt, data, shuffle, return_paths)

    def initialize(self, options, load_fkt, data_path, shuffle, return_paths):
        pass

roaffix

from joblib import Parallel, delayed


def split_list(list_, parts=1):
    return [list_[i * len(list_) // parts: (i + 1) * len(list_) // parts] for i in range(parts)]


def function(list_):
    # function body
    return  # something