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/genconfig_to_sdcpp_args.md

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+---
+name: genconfig_to_sdcpp_args
+kind: function
+lang: py
+domain: ml
+version: "1.0.0"
+purity: pure
+signature: "def genconfig_to_sdcpp_args(cfg: GenerationConfig) -> list[str]"
+description: "Convierte un GenerationConfig a lista de args CLI para stable-diffusion.cpp (sd-cli). Mapea sampler via _SAMPLER_MAP, aplana LoRAs como pares --lora path:weight. Sin I/O ni dependencias externas."
+tags: [ml, sdcpp, stable-diffusion-cpp, cli, converter, pure]
+params:
+  - name: cfg
+    desc: "Instancia de GenerationConfig con los parametros de generacion validados."
+output: "Lista de strings con los argumentos CLI en orden. Listo para subprocess.run(['sd'] + args, ...)."
+uses_functions: []
+uses_types:
+  - generation_config_py_ml
+returns: []
+returns_optional: false
+error_type: ""
+imports: []
+tested: true
+tests:
+  - "sampler euler_a se mapea a euler_a en el flag --sampling-method"
+  - "sampler dpm++2m se mapea a dpmpp2m"
+  - "lora con path y weight se agrega como --lora path:weight"
+  - "multiples loras generan multiples pares --lora"
+  - "negative_prompt None produce string vacio en --negative-prompt"
+  - "model.path tiene prioridad sobre model.name en -m"
+  - "args contiene --prompt --seed --steps --cfg-scale --sampling-method -W -H -m"
+test_file_path: "python/functions/ml/tests/test_genconfig_to_sdcpp_args.py"
+file_path: "python/functions/ml/genconfig_to_sdcpp_args.py"
+---
+
+## Ejemplo
+
+```python
+from ml.genconfig_to_sdcpp_args import genconfig_to_sdcpp_args
+from ml.generation_config import GenerationConfig
+from ml.model_ref import ModelRef
+from ml.lora_ref import LoraRef
+
+cfg = GenerationConfig(
+    prompt="a cat",
+    seed=1,
+    steps=20,
+    cfg_scale=7.0,
+    sampler="dpm++2m",
+    width=512,
+    height=512,
+    model=ModelRef(name="v1-5", model_type="sd15", path="/models/v1-5.ckpt"),
+    loras=[LoraRef(path="/loras/detail.safetensors", weight=0.8)],
+)
+
+args = genconfig_to_sdcpp_args(cfg)
+# ["--prompt", "a cat", "--negative-prompt", "", "--seed", "1",
+#  "--steps", "20", "--cfg-scale", "7.0", "--sampling-method", "dpmpp2m",
+#  "-W", "512", "-H", "512", "-m", "/models/v1-5.ckpt",
+#  "--lora", "/loras/detail.safetensors:0.8"]
+```
+
+## Notas
+
+Mapa de samplers (_SAMPLER_MAP):
+- euler → euler
+- euler_a → euler_a
+- dpm++2m → dpmpp2m
+- dpm++2m_v2 → dpmpp2mv2
+- heun → heun
+- dpm2 → dpm2
+- lcm → lcm
+
+Si cfg.model.path es None, se usa cfg.model.name (nombre de hub o path relativo
+segun configuracion del entorno sdcpp). Los LoRAs sin path se omiten silenciosamente.