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, 165 deletions

diff --git a/tests/mlia/test_cli_helpers.py b/tests/mlia/test_cli_helpers.py
deleted file mode 100644
index 2c52885..0000000
--- a/tests/mlia/test_cli_helpers.py
+++ /dev/null
@@ -1,165 +0,0 @@
-# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
-# SPDX-License-Identifier: Apache-2.0
-"""Tests for the helper classes."""
-from typing import Any
-from typing import Dict
-from typing import List
-
-import pytest
-
-from mlia.cli.helpers import CLIActionResolver
-from mlia.nn.tensorflow.optimizations.select import OptimizationSettings
-
-
-class TestCliActionResolver:
-    """Test cli action resolver."""
-
-    @staticmethod
-    @pytest.mark.parametrize(
-        "args, params, expected_result",
-        [
-            [
-                {},
-                {"opt_settings": "some_setting"},
-                [],
-            ],
-            [
-                {},
-                {},
-                [
-                    "Note: you will need a Keras model for that.",
-                    "For example: mlia optimization --optimization-type "
-                    "pruning,clustering --optimization-target 0.5,32 "
-                    "/path/to/keras_model",
-                    "For more info: mlia optimization --help",
-                ],
-            ],
-            [
-                {"model": "model.h5"},
-                {},
-                [
-                    "For example: mlia optimization --optimization-type "
-                    "pruning,clustering --optimization-target 0.5,32 model.h5",
-                    "For more info: mlia optimization --help",
-                ],
-            ],
-            [
-                {"model": "model.h5"},
-                {"opt_settings": [OptimizationSettings("pruning", 0.5, None)]},
-                [
-                    "For more info: mlia optimization --help",
-                    "Optimization command: "
-                    "mlia optimization --optimization-type pruning "
-                    "--optimization-target 0.5 model.h5",
-                ],
-            ],
-            [
-                {"model": "model.h5", "target_profile": "target_profile"},
-                {"opt_settings": [OptimizationSettings("pruning", 0.5, None)]},
-                [
-                    "For more info: mlia optimization --help",
-                    "Optimization command: "
-                    "mlia optimization --optimization-type pruning "
-                    "--optimization-target 0.5 "
-                    "--target-profile target_profile model.h5",
-                ],
-            ],
-        ],
-    )
-    def test_apply_optimizations(
-        args: Dict[str, Any],
-        params: Dict[str, Any],
-        expected_result: List[str],
-    ) -> None:
-        """Test action resolving for applying optimizations."""
-        resolver = CLIActionResolver(args)
-        assert resolver.apply_optimizations(**params) == expected_result
-
-    @staticmethod
-    def test_supported_operators_info() -> None:
-        """Test supported operators info."""
-        resolver = CLIActionResolver({})
-        assert resolver.supported_operators_info() == [
-            "For guidance on supported operators, run: mlia operators "
-            "--supported-ops-report",
-        ]
-
-    @staticmethod
-    def test_operator_compatibility_details() -> None:
-        """Test operator compatibility details info."""
-        resolver = CLIActionResolver({})
-        assert resolver.operator_compatibility_details() == [
-            "For more details, run: mlia operators --help"
-        ]
-
-    @staticmethod
-    def test_optimization_details() -> None:
-        """Test optimization details info."""
-        resolver = CLIActionResolver({})
-        assert resolver.optimization_details() == [
-            "For more info, see: mlia optimization --help"
-        ]
-
-    @staticmethod
-    @pytest.mark.parametrize(
-        "args, expected_result",
-        [
-            [
-                {},
-                [],
-            ],
-            [
-                {"model": "model.tflite"},
-                [
-                    "Check the estimated performance by running the "
-                    "following command: ",
-                    "mlia performance model.tflite",
-                ],
-            ],
-            [
-                {"model": "model.tflite", "target_profile": "target_profile"},
-                [
-                    "Check the estimated performance by running the "
-                    "following command: ",
-                    "mlia performance --target-profile target_profile model.tflite",
-                ],
-            ],
-        ],
-    )
-    def test_check_performance(
-        args: Dict[str, Any], expected_result: List[str]
-    ) -> None:
-        """Test check performance info."""
-        resolver = CLIActionResolver(args)
-        assert resolver.check_performance() == expected_result
-
-    @staticmethod
-    @pytest.mark.parametrize(
-        "args, expected_result",
-        [
-            [
-                {},
-                [],
-            ],
-            [
-                {"model": "model.tflite"},
-                [
-                    "Try running the following command to verify that:",
-                    "mlia operators model.tflite",
-                ],
-            ],
-            [
-                {"model": "model.tflite", "target_profile": "target_profile"},
-                [
-                    "Try running the following command to verify that:",
-                    "mlia operators --target-profile target_profile model.tflite",
-                ],
-            ],
-        ],
-    )
-    def test_check_operator_compatibility(
-        args: Dict[str, Any], expected_result: List[str]
-    ) -> None:
-        """Test checking operator compatibility info."""
-        resolver = CLIActionResolver(args)
-        assert resolver.check_operator_compatibility() == expected_result