deepfuze

deepfuze/normalizer.py

@@ -0,0 +1,39 @@
+from typing import List, Optional
+import hashlib
+import os
+
+import deepfuze.globals
+from deepfuze.filesystem import is_directory
+from deepfuze.typing import Padding, Fps
+
+
+def normalize_output_path(target_path : Optional[str], output_path : Optional[str]) -> Optional[str]:
+	if target_path and output_path:
+		target_name, target_extension = os.path.splitext(os.path.basename(target_path))
+		if is_directory(output_path):
+			output_hash = hashlib.sha1(str(deepfuze.globals.__dict__).encode('utf-8')).hexdigest()[:8]
+			output_name = target_name + '-' + output_hash
+			return os.path.join(output_path, output_name + target_extension)
+		output_name, output_extension = os.path.splitext(os.path.basename(output_path))
+		output_directory_path = os.path.dirname(output_path)
+		if is_directory(output_directory_path) and output_extension:
+			return os.path.join(output_directory_path, output_name + target_extension)
+	return None
+
+
+def normalize_padding(padding : Optional[List[int]]) -> Optional[Padding]:
+	if padding and len(padding) == 1:
+		return tuple([ padding[0] ] * 4) #type:ignore[return-value]
+	if padding and len(padding) == 2:
+		return tuple([ padding[0], padding[1], padding[0], padding[1] ]) #type:ignore[return-value]
+	if padding and len(padding) == 3:
+		return tuple([ padding[0], padding[1], padding[2], padding[1] ]) #type:ignore[return-value]
+	if padding and len(padding) == 4:
+		return tuple(padding) #type:ignore[return-value]
+	return None
+
+
+def normalize_fps(fps : Optional[float]) -> Optional[Fps]:
+	if fps is not None:
+		return max(1.0, min(fps, 60.0))
+	return None