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evaluation.py
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evaluation.py
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import logging
import numpy as np
from typing import Callable, List
from nptyping import Array
logging.basicConfig(format='%(asctime)s:%(levelname)s: %(message)s',
datefmt='%m/%d/%Y %I:%M:%S %p',
level=logging.INFO)
def program_description(program: List[Callable[[List[Array[int]]], List[Array[int]]]]) -> str:
""" Create a human readable description of a program.
Parameters
----------
program : list of programs
Returns
-------
str
a human readable string describing the program by the functions call order
"""
desc = [x.__name__ for x in program]
return(" >> ".join(desc))
def evaluate(program: List[Callable[[List[Array[int]]], List[Array[int]]]],
input_image: Array[int]) -> List[Array[int]]:
# Mae sure the input is of the right type
assert isinstance(input_image, Array[int, ...])
# Apply each function on the image
image_list = [input_image]
for fct in program:
logging.info(f"Applying {fct.__name__}...")
# Apply the function
image_list = fct(image_list)
# Filter out empty images
image_list = [img for img in image_list if img.shape[0] > 0 and img.shape[1] > 0]
# Apply the function
# Break if there is no data
if image_list == []:
return []
return image_list
def are_two_images_equals(a, b):
if tuple(a.shape) == tuple(b.shape):
if (np.abs(b - a) < 1).all():
return True
return False
def is_solution(program, task):
# For each pair input/output
for sample in task:
i = np.array(sample['input'])
o = np.array(sample['output'])
# Evaluate the program on the input
images = evaluate(program, i)
if len(images) < 1:
return False
# The solution should be in the 3 first outputs
images = images[:3]
# Check if the output is in the 3 images produced
is_program_of_for_sample = any([are_two_images_equals(x, o) for x in images])
if not is_program_of_for_sample:
return False
return True