Skip to content
This repository has been archived by the owner on Dec 20, 2024. It is now read-only.

Commit

Permalink
Merge pull request #184 from jhlegarreta/AddCLIEntryPointTest
Browse files Browse the repository at this point in the history
ENH: Add CLI entry point test
  • Loading branch information
oesteban authored Jun 8, 2024
2 parents ce8de17 + e1777cc commit 9574a7b
Show file tree
Hide file tree
Showing 3 changed files with 73 additions and 4 deletions.
4 changes: 2 additions & 2 deletions src/eddymotion/cli/run.py
Original file line number Diff line number Diff line change
Expand Up @@ -29,15 +29,15 @@
from eddymotion.estimator import EddyMotionEstimator


def main() -> None:
def main(argv=None) -> None:
"""
Entry point.
Returns
-------
None
"""
args = parse_args()
args = parse_args(argv)

# Open the data with the given file path
dwi_dataset: DWI = DWI.from_filename(args.input_file)
Expand Down
4 changes: 2 additions & 2 deletions src/eddymotion/estimator.py
Original file line number Diff line number Diff line change
Expand Up @@ -220,8 +220,8 @@ def _advanced_clip(data, p_min=35, p_max=99.98, nonnegative=True, dtype="int16",
# Calculate stats on denoised version, to preempt outliers from biasing
denoised = ndimage.median_filter(data, footprint=ball(3))

a_min = np.percentile(denoised[denoised > 0] if nonnegative else denoised, p_min)
a_max = np.percentile(denoised[denoised > 0] if nonnegative else denoised, p_max)
a_min = np.percentile(denoised[denoised >= 0] if nonnegative else denoised, p_min)
a_max = np.percentile(denoised[denoised >= 0] if nonnegative else denoised, p_max)

# Clip and cast
data = np.clip(data, a_min=a_min, a_max=a_max)
Expand Down
69 changes: 69 additions & 0 deletions test/test_main.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,69 @@
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
#
# Copyright 2024 The NiPreps Developers <[email protected]>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# We support and encourage derived works from this project, please read
# about our expectations at
#
# https://www.nipreps.org/community/licensing/
#

import sys

import pytest

from eddymotion.__main__ import main


@pytest.fixture(autouse=True)
def set_command(monkeypatch):
with monkeypatch.context() as m:
m.setattr(sys, "argv", ["eddymotion"])
yield


def test_help(capsys):
with pytest.raises(SystemExit):
main(["--help"])
captured = capsys.readouterr()
assert captured.out.startswith("usage: eddymotion [-h]")


def test_main(tmp_path, datadir):
input_file = datadir / "dwi.h5"

with pytest.raises(SystemExit):
main([str(input_file), str(tmp_path)])

with pytest.raises(SystemExit):
main(
[
str(input_file),
"--models",
"b0",
"--omp_nthreads",
"1",
"--n_jobs",
"1",
"--seed",
"1234",
"--output_dir",
str(tmp_path),
]
)
# assert Path(output_dir).joinpath("dwi.h5").exists() # Empty

# Also, call python -m eddymotion or eddymotion from CircleCI ??

0 comments on commit 9574a7b

Please sign in to comment.