import numpy as np
from PIL import Image
import recogners.math.scale as s
import recogners.utils.logging as l
logger = l.get_logger(__name__)
def rasterize(x, img_shape, tile_shape, tile_spacing=(0, 0), scale=True, output=True):
"""Rasterizes and prepares an image to be outputted as a mosaic.
Args:
x (array): An input array to be rasterized.
img_shape (tuple): A tuple for the image shape.
tile_shape (tuple): A tuple holding the shape of each tile.
tile_spacing (tuple): A tuple containing the spacing between tiles.
scale (bool): If output array should be scaled between 0 and 1.
output (bool): If output values should be returned as pixels or not.
Returns:
An output array containing the rasterized version of input array.
"""
# Asserts if tuple lengths are equal to 2
assert len(img_shape) == 2
assert len(tile_shape) == 2
assert len(tile_spacing) == 2
# Creates an output shape
def test_get_logger():
logger = logging.get_logger(__name__)
assert logger.name == 'test_logging'
assert logger.hasHandlers() == True