Source code for morpheus_core.tests.test_fits_helper

# MIT License
# Copyright 2020 Ryan Hausen
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# ==============================================================================
import os

import numpy as np
import pytest
from astropy.io import fits

import morpheus_core.helpers.fits_helper as fh
import morpheus_core.tests.helpers as helper


[docs]@pytest.mark.unit def test_open_file(): """Tests morpheus_core.helpers.fits_helper.open_file""" helper.setup() sample_location = helper.make_sample_file() expected_array = np.arange(100).reshape([10, 10]) hdul, actual_array = fh.open_file(sample_location) np.testing.assert_array_equal(expected_array, actual_array) helper.tear_down()
[docs]@pytest.mark.unit def test_open_files(): """Tests morpheus_core.helpers.fits_helper.open_file""" helper.setup() sample_location = helper.make_sample_file() sample2_location = helper.make_sample_file2() expected_array = np.arange(100).reshape([10, 10]) _, actual_arrays = fh.open_files([sample_location, sample2_location]) np.testing.assert_array_equal(expected_array, actual_arrays[0]) np.testing.assert_array_equal(expected_array, actual_arrays[1]) helper.tear_down()
[docs]@pytest.mark.unit def test_dtype_to_bytes_per_value(): """Tests morpheus_core.helpers.fits_helper.dtype_to_bytes_per_value""" types = [np.uint8, np.int16, np.int32, np.float32, np.float64] expected_bytes_per_value = [1, 2, 4, 4, 8] actual_bytes_per_value = list(map(fh.dtype_to_bytes_per_value, types)) assert actual_bytes_per_value == expected_bytes_per_value
[docs]@pytest.mark.unit def test_dtype_to_bytes_per_value_fails(): """Tests morpheus_core.helpers.fits_helper.dtype_to_bytes_per_value""" with pytest.raises(ValueError): fh.dtype_to_bytes_per_value(bool)
[docs]@pytest.mark.unit @pytest.mark.filterwarnings("ignore::UserWarning") # Ignore astropy warning def test_create_file(): """Tests morpheus_core.helpers.fits_helper.create_file""" helper.setup() shape = (100, 100) tmp_out = os.path.join(helper.TMP_DIR, "test.fits") fh.create_file(tmp_out, shape, np.float32) actual = fits.getdata(tmp_out) assert actual.shape == shape helper.tear_down()