Adapt rewrite module to MLIA coding standards

- Fix imports
- Update variable names
- Refactor helper functions
- Add licence headers
- Add docstrings
- Use f-strings rather than % notation
- Create type annotations in rewrite module
- Migrate from tqdm to rich progress bar
- Use logging module in rewrite module: All print statements are
  replaced with logging module

Resolves: MLIA-831, MLIA-842, MLIA-844, MLIA-846
Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
Change-Id: Idee37538d72b9f01128a894281a8d10155f7c17c

1 files changed, 8 insertions, 6 deletions

diff --git a/src/mlia/nn/select.py b/src/mlia/nn/select.py
index 7a25e47..5e223fa 100644
--- a/src/mlia/nn/select.py
+++ b/src/mlia/nn/select.py
@@ -6,6 +6,8 @@ from __future__ import annotations
 import math
 from pathlib import Path
 from typing import Any
+from typing import cast
+from typing import List
 from typing import NamedTuple
 
 import tensorflow as tf
@@ -129,12 +131,12 @@ def get_optimizer(
         return Clusterer(model, config)
 
     if isinstance(config, RewriteConfiguration):
-        return Rewriter(model, config)  # type: ignore
+        return Rewriter(model, config)
 
-    if isinstance(config, OptimizationSettings) or is_list_of(
-        config, OptimizationSettings
-    ):
-        return _get_optimizer(model, config)  # type: ignore
+    if isinstance(config, OptimizationSettings):
+        return _get_optimizer(model, cast(OptimizationSettings, config))
+    if is_list_of(config, OptimizationSettings):
+        return _get_optimizer(model, cast(List[OptimizationSettings], config))
 
     raise ConfigurationError(f"Unknown optimization configuration {config}")
 
@@ -186,7 +188,7 @@ def _get_optimizer_configuration(
 
     if opt_type == "rewrite":
         if isinstance(optimization_target, str):
-            return RewriteConfiguration(  # type: ignore
+            return RewriteConfiguration(
                 str(optimization_target), layers_to_optimize, dataset
             )