"""Erk-Linear yapilandirmasi — %20-lineer hibrit (8/40 dikkat katmani Gated DeltaNet)."""
from transformers import PretrainedConfig


class ErkLinearConfig(PretrainedConfig):
    """Hibridin kendisi bir govde tasimaz; govde `base_model`'den yuklenir.

    Bu yapilandirma yalnizca hangi katmanlarin lineerlestirildigini ve Gated DeltaNet
    modullerinin nasil kurulacagini tanimlar. Agirliklar iki kaynaktan gelir:
      - govde (32 softmax katmani + gomme/LM basi) : `base_model` deposundan
      - 8 GDN katmani                              : bu deponun gdn_weights.safetensors
    """

    model_type = "erk_linear"

    def __init__(
        self,
        base_model: str = "ecloudtech/Erk-14B",
        gdn_layers=None,
        hidden_size: int = 5120,
        num_hidden_layers: int = 40,
        gdn_head_dim: int = 128,
        gdn_num_heads: int = 40,
        gdn_use_gate: bool = True,
        gdn_use_short_conv: bool = True,
        gdn_mode: str = "chunk",
        gdn_weights_file: str = "gdn_weights.safetensors",
        **kwargs,
    ):
        self.base_model = base_model
        self.gdn_layers = list(gdn_layers) if gdn_layers is not None else [1, 3, 5, 7, 10, 36, 38, 39]
        self.hidden_size = hidden_size
        self.num_hidden_layers = num_hidden_layers
        self.gdn_head_dim = gdn_head_dim
        self.gdn_num_heads = gdn_num_heads
        self.gdn_use_gate = gdn_use_gate
        self.gdn_use_short_conv = gdn_use_short_conv
        self.gdn_mode = gdn_mode
        self.gdn_weights_file = gdn_weights_file
        super().__init__(**kwargs)

    @property
    def linear_ratio(self) -> float:
        """Lineerlestirilen dikkat katmanlarinin orani (8/40 = 0.20)."""
        return len(self.gdn_layers) / float(self.num_hidden_layers)