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# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for module options."""
import argparse
from contextlib import ExitStack as does_not_raise
from pathlib import Path
from typing import Any
from typing import Dict
from typing import List
from typing import Optional
import pytest
from mlia.cli.options import add_output_options
from mlia.cli.options import get_target_profile_opts
from mlia.cli.options import parse_optimization_parameters
@pytest.mark.parametrize(
"optimization_type, optimization_target, expected_error, expected_result",
[
(
"pruning",
"0.5",
does_not_raise(),
[
dict(
optimization_type="pruning",
optimization_target=0.5,
layers_to_optimize=None,
)
],
),
(
"clustering",
"32",
does_not_raise(),
[
dict(
optimization_type="clustering",
optimization_target=32.0,
layers_to_optimize=None,
)
],
),
(
"pruning,clustering",
"0.5,32",
does_not_raise(),
[
dict(
optimization_type="pruning",
optimization_target=0.5,
layers_to_optimize=None,
),
dict(
optimization_type="clustering",
optimization_target=32.0,
layers_to_optimize=None,
),
],
),
(
"pruning, clustering",
"0.5, 32",
does_not_raise(),
[
dict(
optimization_type="pruning",
optimization_target=0.5,
layers_to_optimize=None,
),
dict(
optimization_type="clustering",
optimization_target=32.0,
layers_to_optimize=None,
),
],
),
(
"pruning,clustering",
"0.5",
pytest.raises(
Exception, match="Wrong number of optimization targets and types"
),
None,
),
(
"",
"0.5",
pytest.raises(Exception, match="Optimization type is not provided"),
None,
),
(
"pruning,clustering",
"",
pytest.raises(Exception, match="Optimization target is not provided"),
None,
),
(
"pruning,",
"0.5,abc",
pytest.raises(
Exception, match="Non numeric value for the optimization target"
),
None,
),
],
)
def test_parse_optimization_parameters(
optimization_type: str,
optimization_target: str,
expected_error: Any,
expected_result: Any,
) -> None:
"""Test function parse_optimization_parameters."""
with expected_error:
result = parse_optimization_parameters(optimization_type, optimization_target)
assert result == expected_result
@pytest.mark.parametrize(
"args, expected_opts",
[
[
{},
[],
],
[
{"target_profile": "profile"},
["--target-profile", "profile"],
],
[
# for the default profile empty list should be returned
{"target": "ethos-u55-256"},
[],
],
],
)
def test_get_target_opts(args: Optional[Dict], expected_opts: List[str]) -> None:
"""Test getting target options."""
assert get_target_profile_opts(args) == expected_opts
@pytest.mark.parametrize(
"output_parameters, expected_path",
[
[["--output", "report.json"], "report.json"],
[["--output", "REPORT.JSON"], "REPORT.JSON"],
[["--output", "some_folder/report.json"], "some_folder/report.json"],
[["--output", "report.csv"], "report.csv"],
[["--output", "REPORT.CSV"], "REPORT.CSV"],
[["--output", "some_folder/report.csv"], "some_folder/report.csv"],
],
)
def test_output_options(output_parameters: List[str], expected_path: str) -> None:
"""Test output options resolving."""
parser = argparse.ArgumentParser()
add_output_options(parser)
args = parser.parse_args(output_parameters)
assert args.output == expected_path
@pytest.mark.parametrize(
"output_filename",
[
"report.txt",
"report.TXT",
"report",
"report.pdf",
],
)
def test_output_options_bad_parameters(
output_filename: str, capsys: pytest.CaptureFixture
) -> None:
"""Test that args parsing should fail if format is not supported."""
parser = argparse.ArgumentParser()
add_output_options(parser)
with pytest.raises(SystemExit):
parser.parse_args(["--output", output_filename])
err_output = capsys.readouterr().err
suffix = Path(output_filename).suffix[1:]
assert f"Unsupported format '{suffix}'" in err_output
|
