chore: auto-commit (95 archivos)

- cmd/fn/doctor.go
- cmd/fn/main.go
- cpp/apps/primitives_gallery/playground/tables/CMakeLists.txt
- cpp/apps/primitives_gallery/playground/tables/data_table.cpp
- cpp/apps/primitives_gallery/playground/tables/data_table_logic.cpp
- cpp/apps/primitives_gallery/playground/tables/data_table_logic.h
- cpp/apps/primitives_gallery/playground/tables/self_test.cpp
- cpp/apps/primitives_gallery/playground/tables/tql.cpp
- cpp/apps/primitives_gallery/playground/tables/viz.cpp
- cpp/apps/primitives_gallery/playground/tables/viz.h
- ...

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

python/functions/ml/diffusers_unload.py

@@ -0,0 +1,47 @@
+"""diffusers_unload — libera memoria de un pipeline diffusers y limpia cache global."""
+
+from __future__ import annotations
+
+import gc
+import sys
+import os
+from typing import Any
+
+
+def diffusers_unload(pipe: Any | None = None) -> None:
+    """Libera la memoria ocupada por un pipeline diffusers.
+
+    Si se pasa pipe, lo elimina con del y llama gc.collect() + empty_cache().
+    Si pipe es None, limpia ademas el cache global de diffusers_load_pipeline
+    (descarga TODOS los pipelines cacheados). En ambos casos invoca
+    torch.cuda.empty_cache() si CUDA esta disponible.
+
+    Args:
+        pipe:  Pipeline a liberar. Si None, limpia el cache global completo
+               de diffusers_load_pipeline ademas de llamar gc + empty_cache.
+
+    Returns:
+        None. Efecto secundario: memoria GPU/CPU liberada.
+    """
+    if pipe is None:
+        # Limpiar cache global de diffusers_load_pipeline si esta importado
+        try:
+            # Importar el modulo para acceder a su cache interno
+            load_module_path = os.path.join(os.path.dirname(__file__))
+            if load_module_path not in sys.path:
+                sys.path.insert(0, load_module_path)
+            from diffusers_load_pipeline import _clear_pipeline_cache
+            _clear_pipeline_cache()
+        except ImportError:
+            pass
+    else:
+        del pipe
+
+    gc.collect()
+
+    try:
+        import torch
+        if torch.cuda.is_available():
+            torch.cuda.empty_cache()
+    except ImportError:
+        pass