2022-03-26 20:24:59 +01:00

36 lines
1.0 KiB
Python

import pytest
from image_prediction.utils import chunk_iterable
# @pytest.mark.parametrize("estimator_type", ["mock", "keras"], scope="session")
# @pytest.mark.parametrize("batch_size", [0, 1, 2, 16, 32, 64], scope="session")
# def test_predict(predictor, images, expected_predictions):
# predictions = list(predictor.predict_images(images))
# assert predictions == expected_predictions
def test_chunk_iterable_exact_split():
a, b = chunk_iterable(range(10), chunk_size=5)
assert a == tuple(range(5))
assert b == tuple(range(5, 10))
def test_chunk_iterable_no_split():
a = next(chunk_iterable(range(10), chunk_size=10))
assert a == tuple(range(10))
def test_chunk_iterable_last_partial():
a, b, c, d = chunk_iterable(range(10), chunk_size=3)
assert d == (9, )
def test_chunk_iterable_empty():
with pytest.raises(StopIteration):
next(chunk_iterable(range(0), chunk_size=3))
def test_chunk_iterable_less_than_chunk_size_elements():
assert next(chunk_iterable(range(2), chunk_size=5)) == (0, 1)