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240 | # Copyright (c) 2024 Radio Astronomy Software Group
# Licensed under the 2-clause BSD License
"""Tests for helper utility functions."""
import numpy as np
import pytest
from pyuvdata import utils
from pyuvdata.parameter import UVParameter
from pyuvdata.testing import check_warnings
@pytest.mark.parametrize(
"filename1,filename2,answer",
[
(["foo.uvh5"], ["bar.uvh5"], ["foo.uvh5", "bar.uvh5"]),
(["foo.uvh5", "bar.uvh5"], ["foo.uvh5"], ["foo.uvh5", "bar.uvh5"]),
(["foo.uvh5"], None, ["foo.uvh5"]),
(None, ["bar.uvh5"], ["bar.uvh5"]),
(None, None, None),
],
)
def test_combine_filenames(filename1, filename2, answer):
combined_filenames = utils.tools._combine_filenames(filename1, filename2)
if answer is None:
assert combined_filenames is answer
else:
# use sets to test equality so that order doesn't matter
assert set(combined_filenames) == set(answer)
return
def test_slicify():
assert utils.tools.slicify(None) is None
assert utils.tools.slicify(slice(None)) == slice(None)
assert utils.tools.slicify([]) is None
assert utils.tools.slicify([1, 2, 3]) == slice(1, 4, 1)
assert utils.tools.slicify([1]) == slice(1, 2, 1)
assert utils.tools.slicify([0, 2, 4]) == slice(0, 6, 2)
assert utils.tools.slicify([0, 1, 2, 7]) == [0, 1, 2, 7]
@pytest.mark.parametrize(
"obj1,obj2,union_result,interset_result,diff_result",
[
[[1, 2, 3], [3, 4, 5], [1, 2, 3, 4, 5], [3], [1, 2]], # Partial overlap
[[1, 2], [1, 2], [1, 2], [1, 2], []], # Full overlap
[[1, 3, 5], [2, 4, 6], [1, 2, 3, 4, 5, 6], [], [1, 3, 5]], # No overlap
[[1, 2], None, [1, 2], [1, 2], [1, 2]], # Nones
],
)
def test_sorted_unique_ops(obj1, obj2, union_result, interset_result, diff_result):
assert utils.tools._sorted_unique_union(obj1, obj2) == union_result
assert utils.tools._sorted_unique_intersection(obj1, obj2) == interset_result
assert utils.tools._sorted_unique_difference(obj1, obj2) == diff_result
@pytest.mark.parametrize("strict", [True, False, None])
def test_strict_raise(strict):
if strict:
with pytest.raises(ValueError, match="This is a test"):
utils.tools._strict_raise("This is a test", strict=strict)
else:
with check_warnings(None if strict is None else UserWarning, "This is a test"):
utils.tools._strict_raise("This is a test", strict=strict)
@pytest.mark.parametrize(
"inds,nrecs,exp_output,nwarn",
[
[[0, 1, 2], 3, [0, 1, 2], 0],
[[0, 1, 2], 2, [0, 1], 1],
[[-1, 0, 1, 2], 3, [0, 1, 2], 1],
[[-1, 0, 1, 2, 3], 3, [0, 1, 2], 2],
[[1], 3, [1], 0],
],
)
def test_eval_inds(inds, nrecs, exp_output, nwarn):
with check_warnings(
UserWarning if nwarn > 0 else None, ["inds contains indices that are"] * nwarn
):
output = utils.tools._eval_inds(inds=inds, nrecs=nrecs, strict=False)
assert all(exp_output == output)
@pytest.mark.parametrize("is_param", [True, False])
@pytest.mark.parametrize(
"inp_arr,tols,exp_outcome",
[
[np.array([0, 0, 0, 0]), (0, 0), True],
[[0, 0, 0, 0], None, True],
[[0, 0, 0, 1], (0, 0), False],
[[0, 0, 0, 1], None, False],
[[0, 0, 0, 1], (1, 0), True],
],
)
def test_array_constant(inp_arr, is_param, tols, exp_outcome):
if is_param:
kwargs = {"value": inp_arr}
if tols is not None:
kwargs["tols"] = tols
inp_arr = UVParameter("test", **kwargs)
assert exp_outcome == utils.tools._test_array_constant(inp_arr, tols=tols)
@pytest.mark.parametrize("tols", [(0, 0, 0), [0, 0]])
def test_array_constant_errors(tols):
inp_arr = UVParameter("test", value=np.array([0, 0, 0, 0]))
with pytest.raises(
ValueError,
match="Something went wrong in utils.tools._test_array_constant. Please "
"file an issue in our GitHub issue log so that we can help: "
"https://github.com/RadioAstronomySoftwareGroup/pyuvdata/issues. "
"Developer info: tols must be a length-2 tuple.",
):
utils.tools._test_array_constant(inp_arr, tols=tols)
@pytest.mark.parametrize("is_param", [True, False])
@pytest.mark.parametrize(
"inp_arr,inp2_arr,tols,exp_outcome",
[
[np.array([0, 0, 0, 0]), [0, 0, 0, 0], (0, 0), True],
[[1, 2, 3, 4], np.array([1, 1, 1, 1]), None, True],
[[0, 0, 0, 1], [0, 0, 0, 0], (0, 0), False],
[[0, 0, 0, 1], [0, 0, 0, 0], None, False],
[[1, 2, 3, 4], [0, 0, 0, 0], (0, 1), True],
],
)
def test_array_consistent(inp_arr, inp2_arr, is_param, tols, exp_outcome):
if is_param:
kwargs = {"value": inp_arr}
if tols is not None:
kwargs["tols"] = tols
inp_arr = UVParameter("test", **kwargs)
inp2_arr = UVParameter("test2", value=inp2_arr)
assert exp_outcome == utils.tools._test_array_consistent(
inp_arr, inp2_arr, tols=tols
)
@pytest.mark.parametrize(
("inp_arr", "inp2_arr", "tols", "msg"),
[
(
np.array([0, 0, 0, 0]),
np.array([0, 0, 0]),
(0, 0),
"Something went wrong in utils.tools._test_array_consistent. Please "
"file an issue in our GitHub issue log so that we can help: "
"https://github.com/RadioAstronomySoftwareGroup/pyuvdata/issues. "
"Developer info: array and deltas must have same shape.",
),
(
np.array([0, 0, 0, 0]),
np.array([0, 0, 0, 0]),
(0, 0, 0),
"Something went wrong in utils.tools._test_array_consistent. Please "
"file an issue in our GitHub issue log so that we can help: "
"https://github.com/RadioAstronomySoftwareGroup/pyuvdata/issues. "
"Developer info: tols must be a length-2 tuple.",
),
(
np.array([0, 0, 0, 0]),
np.array([0, 0, 0, 0]),
[0, 0],
"Something went wrong in utils.tools._test_array_consistent. Please "
"file an issue in our GitHub issue log so that we can help: "
"https://github.com/RadioAstronomySoftwareGroup/pyuvdata/issues. "
"Developer info: tols must be a length-2 tuple.",
),
],
)
def test_array_consistent_errors(inp_arr, inp2_arr, tols, msg):
with pytest.raises(ValueError, match=msg):
utils.tools._test_array_consistent(inp_arr, inp2_arr, tols=tols)
@pytest.mark.parametrize(
"kwargs,exp_output",
[
[
{"indices": [1], "max_nslice": 1, "return_index_on_fail": True},
[slice(1, 2, 1)],
],
[
{"indices": [0, 1], "max_nslice": 1, "return_index_on_fail": True},
[slice(0, 2, 1)],
],
[
{"indices": [1, 0], "max_nslice": 1, "return_index_on_fail": True},
[slice(1, None, -1)],
],
[
{"indices": [3, 2, 1, 0], "max_nslice": 1, "return_index_on_fail": True},
[slice(3, None, -1)],
],
[
{"indices": [2, 3, 1, 0], "max_nslice": 1, "return_index_on_fail": True},
[[2, 3, 1, 0]],
],
[
{
"indices": np.array([True, False, True, False]),
"max_nslice": 1,
"return_index_on_fail": True,
},
[slice(0, 4, 2)],
],
[
{
"indices": np.array([True, False, True, True]),
"max_nslice": 1,
"return_index_on_fail": True,
},
[[True, False, True, True]],
],
[
{"indices": [0, 2, 4, 5], "max_nslice": 2},
[slice(0, 6, 2), slice(5, 6, None)],
],
[
{"indices": [4, 2, 0, 5], "max_nslice": 2},
[slice(4, None, -2), slice(5, 6, None)],
],
[
{"indices": [4, 2, 0, 1, 3, 5], "max_nslice": 2},
[slice(4, None, -2), slice(1, 7, 2)],
],
],
)
def test_convert_to_slices(kwargs, exp_output):
slice_list, check = utils.tools._convert_to_slices(**kwargs)
if (len(slice_list) == 1) and isinstance(slice_list[0], np.ndarray):
slice_list[0] = slice_list[0].tolist()
assert isinstance(slice_list[0], slice) == check
assert slice_list == exp_output
|