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# Licensed under the Apache License, Version 2.0 (the "License");
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#
#     http://www.apache.org/licenses/LICENSE-2.0
#
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from huggingface_hub.dataclasses import strict

from ...configuration_utils import PreTrainedConfig, SubConfigSpec
from ...utils import auto_docstring
from ..auto import AutoConfig


@auto_docstring(checkpoint="CohereLabs/cohere-transcribe-03-2026")
@strict
class CohereAsrConfig(PreTrainedConfig):
    r"""
    Example:

    ```python
    >>> from transformers import CohereAsrForConditionalGeneration, CohereAsrConfig

    >>> configuration = CohereAsrConfig()
    >>> model = CohereAsrForConditionalGeneration(configuration)
    >>> configuration = model.config
    ```"""

    model_type = "cohere_asr"
    sub_configs_defaults = {
        "encoder_config": SubConfigSpec(
            config_class=AutoConfig,
            model_type="parakeet_encoder",
            init_kwargs={
                "hidden_size": 1280,
                "num_hidden_layers": 48,
                "num_attention_heads": 8,
                "intermediate_size": 5120,
                "hidden_act": "silu",
                "attention_bias": True,
                "convolution_bias": True,
                "conv_kernel_size": 9,
                "subsampling_factor": 8,
                "subsampling_conv_channels": 256,
                "num_mel_bins": 128,
                "subsampling_conv_kernel_size": 3,
                "subsampling_conv_stride": 2,
                "dropout": 0.0,
                "dropout_positions": 0.0,
                "layerdrop": 0.0,
                "activation_dropout": 0.0,
                "attention_dropout": 0.0,
                "max_position_embeddings": 5000,
                "scale_input": False,
                "initializer_range": 0.02,
            },
        ),
    }

    encoder_config: dict | PreTrainedConfig | None = None
    vocab_size: int = 16384
    hidden_size: int = 1024
    num_hidden_layers: int = 8
    num_attention_heads: int = 8
    num_key_value_heads: int | None = None
    intermediate_size: int = 4096
    hidden_act: str = "relu"
    max_position_embeddings: int = 1024
    pad_token_id: int | None = 2
    eos_token_id: int | None = 3
    bos_token_id: int | None = 4
    is_encoder_decoder: bool = True
    use_cache: bool = True
    initializer_range: float = 0.02
    attention_dropout: float | int = 0.0
    attention_bias: bool = True
    decoder_start_token_id: int | None = None
    tie_word_embeddings: bool = False
    head_dim: int | None = None

    def __post_init__(self, **kwargs):
        if self.head_dim is None:
            self.head_dim = self.hidden_size // self.num_attention_heads
        if self.num_key_value_heads is None:
            self.num_key_value_heads = self.num_attention_heads
        # Keep for BC only - shouldn't appear in new releases!
        if isinstance(self.encoder_config, dict):
            self.encoder_config = {**self.sub_configs_defaults["encoder_config"].init_kwargs, **self.encoder_config}
        super().__post_init__(**kwargs)


__all__ = ["CohereAsrConfig"]