^j dZddlZddlZddlmZddlmZmZddlm Z m Z hdZ hdZ e eje z Ze fded ed e d ej fd Zeed dded ed ej fdZy)aPackage-private helper: build a self-contained namespace from Pydantic configs. Replaces the previous shim in ``_args.py`` that called the deprecated ``populate_args()`` function from ``main.py``. This module has zero dependency on ``main.py`` and can survive its deletion. N) deprecated) ModelConfig TrainConfig)MODEL_DEFAULTS ModelDefaults>'ampdeviceencoder ca_nheads sa_nheads two_stage dec_layers group_detr hidden_dim layer_norm num_select patch_size resolution ia_bce_loss num_classes num_queries num_windows bbox_reparam dec_n_points num_channels backbone_loradual_projectorfreeze_encoderprojector_scalepretrain_weightssegmentation_headkeypoint_cross_attnout_feature_indexeslite_refpoint_refinemask_downsample_rationum_decoder_registersdual_projector_kp_onlygradient_checkpointinginter_instance_kp_attnnum_keypoints_per_classpostprocess_trace_alphause_grouppose_keypointspositional_encoding_size grouppose_keypoint_dim_downscale>runseedwandbmlflowresumeclearmldevicesprojectrun_teststrategy num_nodesrr pin_memory accelerator class_namesr tensorboard lr_scheduler progress_bar cls_loss_coef lr_min_factordont_save_weightsr!persistent_workerscompute_train_metricsauto_batch_ema_headroomauto_batch_target_effective auto_batch_max_targets_per_image model_config train_configdefaultsreturnc |}|}|}t|dt}t|dt}d|vsd|vr |jn |j}tjd iit j ||jtt|jttt|ddt|ddt|dd||jxsd |j |jnd d S) aBuild a ``types.SimpleNamespace`` from configs and architectural defaults. This is the internal implementation behind :func:`build_namespace`. Extracting it allows config-native builder functions to construct a namespace without going through the public ``build_namespace()`` API while still accepting overridable defaults. This function is used by multiple modules as the transitional namespace bridge: :func:`rfdetr.models.build_model_from_config`, :func:`rfdetr.models.build_criterion_from_config`, and :func:`rfdetr.detr._build_model_context` all call it directly to avoid the public ``build_namespace()`` shim. Args: model_config: Architecture configuration. train_config: Training hyperparameter configuration. defaults: Hardcoded architectural constants. Defaults to :data:`MODEL_DEFAULTS`. Returns: ``types.SimpleNamespace`` compatible with ``build_model``, ``build_criterion_and_postprocessors``, and ``build_dataset``. model_fields_setr@)includemask_ce_loss_coefg@mask_dice_loss_coefmask_point_sample_ratio*)rOrPrQr@r3r0) getattrsetr@typesSimpleNamespace dataclassesasdict model_dump_TC_NAMESPACE_FIELDS_MC_NAMESPACE_FIELDSr3r0) rHrIrJmctcdtrain_fields_setrMr@s \/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/rfdetr/_namespace.py_namespace_from_configsrdss0 B BAr#5su=r#5su= . ./IY2Y          # mmC(<$=m>  mmC(<$=m> ")-@#!F#*2/Dc#J'.r3Lb'Q*iio2!ww2BGG#  z1.7.0z1.9.0)target deprecated_in remove_incy)uBuild a ``types.SimpleNamespace`` from Pydantic model and train configs. .. deprecated:: 1.7.0 ``build_namespace`` is a backward-compatibility shim with no remaining internal callers. Deprecated since v1.7.0, will be removed in v1.9.0. Use the config-native builders instead: - :func:`rfdetr.models.build_model_from_config` — replaces ``build_model(build_namespace(mc, tc))`` - :func:`rfdetr.models.build_criterion_from_config` — replaces ``build_criterion_and_postprocessors(build_namespace(mc, tc))`` - :func:`rfdetr._namespace._namespace_from_configs` — for the rare case where a raw namespace is still required (e.g. ``build_dataset``) Args: model_config: Architecture configuration. train_config: Training hyperparameter configuration. Returns: ``types.SimpleNamespace`` compatible with ``build_model``, ``build_criterion_and_postprocessors``, and ``build_dataset``. NrU)rHrIs rcbuild_namespacerjs.re)__doc__rZrX deprecater rfdetr.configrrrfdetr.models._defaultsrrr^_TC_NON_NAMESPACE_FIELDSrW model_fieldsr]rYrdrjrUrercrqs   2A(d%P;3347OO -9999  9x *'WU+[UMbMbVre