"""AshishOCR model configuration"""

from transformers.configuration_utils import PretrainedConfig


class AshishOcrVisionConfig(PretrainedConfig):
    """Configuration class for AshishOCR vision encoder."""

    model_type = "ashish_ocr_vision"

    def __init__(
        self,
        hidden_size=1024,
        depth=24,
        num_heads=16,
        attention_bias=True,
        intermediate_size=4096,
        hidden_act="silu",
        hidden_dropout_prob=0.0,
        initializer_range=0.02,
        image_size=336,
        patch_size=14,
        out_hidden_size=1536,
        rms_norm_eps=1e-05,
        spatial_merge_size=2,
        temporal_patch_size=2,
        **kwargs,
    ):
        super().__init__(**kwargs)
        self.hidden_size = hidden_size
        self.depth = depth
        self.num_heads = num_heads
        self.attention_bias = attention_bias
        self.intermediate_size = intermediate_size
        self.hidden_act = hidden_act
        self.hidden_dropout_prob = hidden_dropout_prob
        self.initializer_range = initializer_range
        self.image_size = image_size
        self.patch_size = patch_size
        self.out_hidden_size = out_hidden_size
        self.rms_norm_eps = rms_norm_eps
        self.spatial_merge_size = spatial_merge_size
        self.temporal_patch_size = temporal_patch_size


class AshishOcrTextConfig(PretrainedConfig):
    """Configuration class for AshishOCR text decoder."""

    model_type = "ashish_ocr_text"

    def __init__(
        self,
        vocab_size=59392,
        hidden_size=1536,
        intermediate_size=4608,
        num_hidden_layers=16,
        num_attention_heads=16,
        num_key_value_heads=8,
        head_dim=128,
        hidden_act="silu",
        max_position_embeddings=131072,
        initializer_range=0.02,
        rms_norm_eps=1e-05,
        use_cache=True,
        tie_word_embeddings=False,
        attention_bias=False,
        attention_dropout=0.0,
        pad_token_id=59246,
        eos_token_id=None,
        num_nextn_predict_layers=1,
        rope_parameters=None,
        dtype="bfloat16",
        **kwargs,
    ):
        super().__init__(**kwargs)
        self.vocab_size = vocab_size
        self.hidden_size = hidden_size
        self.intermediate_size = intermediate_size
        self.num_hidden_layers = num_hidden_layers
        self.num_attention_heads = num_attention_heads
        self.num_key_value_heads = num_key_value_heads
        self.head_dim = head_dim
        self.hidden_act = hidden_act
        self.max_position_embeddings = max_position_embeddings
        self.initializer_range = initializer_range
        self.rms_norm_eps = rms_norm_eps
        self.use_cache = use_cache
        self.tie_word_embeddings = tie_word_embeddings
        self.attention_bias = attention_bias
        self.attention_dropout = attention_dropout
        self.pad_token_id = pad_token_id
        self.eos_token_id = eos_token_id if eos_token_id is not None else [59246, 59253]
        self.num_nextn_predict_layers = num_nextn_predict_layers
        self.rope_parameters = rope_parameters
        self.dtype = dtype


class AshishOcrConfig(PretrainedConfig):
    """Configuration class for AshishOCR multimodal model."""

    model_type = "ashish_ocr"
    sub_configs = {"text_config": AshishOcrTextConfig, "vision_config": AshishOcrVisionConfig}

    def __init__(
        self,
        text_config=None,
        vision_config=None,
        image_start_token_id=59256,
        image_end_token_id=59257,
        video_start_token_id=59258,
        video_end_token_id=59259,
        image_token_id=59280,
        video_token_id=59281,
        **kwargs,
    ):
        super().__init__(**kwargs)

        if text_config is None:
            text_config = {}
        if vision_config is None:
            vision_config = {}

        self.text_config = AshishOcrTextConfig(**text_config)
        self.vision_config = AshishOcrVisionConfig(**vision_config)

        self.image_start_token_id = image_start_token_id
        self.image_end_token_id = image_end_token_id
        self.video_start_token_id = video_start_token_id
        self.video_end_token_id = video_end_token_id
        self.image_token_id = image_token_id
        self.video_token_id = video_token_id

        # Inherit key parameters from text config
        self.vocab_size = self.text_config.vocab_size
        self.hidden_size = self.text_config.hidden_size