MLIA-551 Rework remains of AIET architecture

Re-factoring the code base to further merge the old AIET code into MLIA.

- Remove last traces of the backend type 'tool'
- Controlled systems removed, including SSH protocol, controller,
  RunningCommand, locks etc.
- Build command / build dir and deploy functionality removed from
  Applications and Systems
- Moving working_dir()
- Replace module 'output_parser' with new module 'output_consumer' and
  merge Base64 parsing into it
- Change the output consumption to optionally remove (i.e. actually
  consume) lines
- Use Base64 parsing in GenericInferenceOutputParser, replacing the
  regex-based parsing and remove the now unused regex parsing
- Remove AIET reporting
- Pre-install applications by moving them to src/mlia/resources/backends
- Rename aiet-config.json to backend-config.json
- Move tests from tests/mlia/ to tests/
- Adapt unit tests to code changes
- Dependencies removed: paramiko, filelock, psutil
- Fix bug in corstone.py: The wrong resource directory was used which
  broke the functionality to download backends.
- Use f-string formatting.
- Use logging instead of print.

Change-Id: I768bc3bb6b2eda57d219ad01be4a8e0a74167d76

1 files changed, 0 insertions, 186 deletions

diff --git a/tests/mlia/test_cli_options.py b/tests/mlia/test_cli_options.py
deleted file mode 100644
index a441e58..0000000
--- a/tests/mlia/test_cli_options.py
+++ /dev/null
@@ -1,186 +0,0 @@
-# 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