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def divide_chunks(a_list, chunk_size):
    """Divide a list in chunks from given size
    """

    for i in range(0, len(a_list), chunk_size):
        yield a_list[i:i + chunk_size]

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from PIL import Image

def concat_images(im1, im2):
    """	Concat two images towards the height
    """
    dst_img = Image.new('RGB', (min(im1.width, im2.width), im1.height + im2.height))
    dst_img.paste(im1, (0, 0))
    dst_img.paste(im2, (0, im1.height))
    return dst_img

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def merge_items(a_list):
	"""Merge the 4 lists of items
	and combine as values to keys
	"""
  	#Same amount of lists of lists to receive a key
	keys = ['key1','key2','key3','key4']
	items = [list(i) for i in list(zip(*a_list))]

	result = []
	for i in items:

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from keras import backend as K

def grayscale_to_rgb(images, channel_axis=-1):
	'''Function to convert the Grayscale data
	to RGB to match with an architecture
	'''
    images= K.expand_dims(images, axis=channel_axis)
    tiling = [1] * 4    # 4 dimensions: B, H, W, C
    tiling[channel_axis] *= 3
    images= K.tile(images, tiling)

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def remove_none(json_file):
	""" Remove null keys and values from
	a nested structure of dicts, tuple and lists.
	"""
	if isinstance(json_file, (list, tuple, set)):
		return type(json_file)(remove_none(x) for x in json_file if x is not None)
	elif isinstance(json_file, dict):
		return type(json_file)((remove_none(k), remove_none(v))
		for k, v in json_file.items() if k is not None and v is not None)
	else: