mokahaiku

def batch_download_data(
    label_filename,
    missing_data_filename,
    output_dir,
    batch_size,
    batch_number,
    api,
    file_extension,
):
    missing_files = []

mokahaiku

#!/bin/bash

set -e
rm -rf .git
git init

git config -f .gitmodules --get-regexp '^submodule\..*\.path$' > tempfile

while read -u 3 path_key path
do

mokahaiku

"""
A weighted version of categorical_crossentropy for keras (2.0.6). This lets you apply a weight to unbalanced classes.
@url: https://gist.github.com/wassname/ce364fddfc8a025bfab4348cf5de852d
@author: wassname
"""
from keras import backend as K
def weighted_categorical_crossentropy(weights):
    """
    A weighted version of keras.objectives.categorical_crossentropy
    

mokahaiku

# https://ipython.readthedocs.io/en/stable/interactive/magics.html

# Autoreload
%load_ext autoreload
%autoreload 2

mokahaiku

import os
import sys
import shutil
import csv
import re
import typing
import pickle
import math
import urllib
from tqdm import tqdm

mokahaiku

def almostIncreasingSequence(s):
    e = 0
    for i in range(len(s) - 1):
        if s[i] >= s[i + 1]:
            e += 1
        if len(s) > i + 2 and s[i] >= s[i + 2]:
            e += 1
    return e < 3

mokahaiku

def one_hot_encode(x, num_classes):
    return np.eye(num_classes)[x]

mokahaiku

def plot_image_grid(images, rows, columns):
    figure = plt.figure(figsize=(columns * 3, rows * 3))
    for i in range(columns * rows):
        figure.add_subplot(rows, columns, i + 1)
        plt.imshow(images[i])
    plt.show()

mokahaiku

import React from 'react';
import { getDisplayName } from '../utils';

export default getData =>
  function withData(WrappedComponent, WaitingComponent) {
    class WithData extends React.Component {
      state = {
        loaded: false,
        content: '',
      };

mokahaiku

@mixin transparent_bg($bg_image, $overlay_opacity: "", $overlay_color: "") {

  background: -webkit-linear-gradient(left, rgba($overlay_color, $overlay_opacity), rgba($overlay_color, $overlay_opacity)), url($bg_image) no-repeat;
  background: -moz-linear-gradient(left, rgba($overlay_color, $overlay_opacity), rgba($overlay_color, $overlay_opacity)), url($bg_image) no-repeat;
  background: -o-linear-gradient(left, rgba($overlay_color, $overlay_opacity), rgba($overlay_color, $overlay_opacity)), url($bg_image) no-repeat;
  background: -ms-linear-gradient(left, rgba($overlay_color, $overlay_opacity), rgba($overlay_color, $overlay_opacity)), url($bg_image) no-repeat;

}