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, 31 deletions

diff --git a/tests/mlia/test_core_data_analysis.py b/tests/mlia/test_core_data_analysis.py
deleted file mode 100644
index a782159..0000000
--- a/tests/mlia/test_core_data_analysis.py
+++ /dev/null
@@ -1,31 +0,0 @@
-# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
-# SPDX-License-Identifier: Apache-2.0
-"""Tests for module data_analysis."""
-from dataclasses import dataclass
-
-from mlia.core.common import DataItem
-from mlia.core.data_analysis import Fact
-from mlia.core.data_analysis import FactExtractor
-
-
-def test_fact_extractor() -> None:
-    """Test fact extractor."""
-
-    @dataclass
-    class SampleFact(Fact):
-        """Sample fact."""
-
-        msg: str
-
-    class SampleExtractor(FactExtractor):
-        """Sample extractor."""
-
-        def analyze_data(self, data_item: DataItem) -> None:
-            self.add_fact(SampleFact(f"Fact for {data_item}"))
-
-    extractor = SampleExtractor()
-    extractor.analyze_data(42)
-    extractor.analyze_data("some data")
-
-    facts = extractor.get_analyzed_data()
-    assert facts == [SampleFact("Fact for 42"), SampleFact("Fact for some data")]