#!/usr/bin/env python
# -*- coding: utf-8 -*-

from transformers.configuration_utils import PretrainedConfig


class MiniCPMTTSConfig(PretrainedConfig):
    model_type = "minicpmtts"

    def __init__(
        self,
        llm_dim: int = 2560,
        llm_intermediate_size: int = 768,
        llm_down_scale: bool = False,
        llm_dim_model_base: int = 256,
        projector_type: str = "mlp",
        hidden_act: str = "silu",
        aug_loss_weight: bool = False,
        aug_layer_loss_weight: bool = False,
        filter_tts_loss: bool = False,
        tts_filter_loss_fix: bool = False,
        long_weight: float = 0.1,
        short_weight: float = 0.1,
        hidden_size: int = 768,
        intermediate_size: int = 3072,
        num_attention_heads: int = 12,
        num_hidden_layers: int = 20,
        num_key_value_heads: int = 12,
        max_position_embeddings: int = 4096,
        num_audio_tokens: int = 4097,
        num_text_tokens: int = 21178,
        num_mel_bins: int = 100,
        num_vq: int = 1,
        use_llm_hidden_state: bool = False,
        audio_bos_token_id: int = 21132,
        text_eos_token_id: int = 21133,
        use_text: bool = True,
        streaming: bool = False,
        streaming_text_chunk_min: int = 3,
        streaming_text_chunk_max: int = 7,
        streaming_text_reserved_len: int = 300,
        streaming_audio_chunk_size: int = 50,
        attn_implementation: str = "sdpa",
        condition_type: str = "llm_hidden",
        backbone_model: str = "llama",
        audio_tokenizer_type: str = "wavtokenizer",
        audio_tokenizer_sample_rate: int = 24000,
        streaming_sliding_window: bool = False,
        streaming_sliding_window_max_text_len: int = 500,
        streaming_sliding_window_average_speed: int = 5,
        streaming_sliding_window_fast_speed: int = 7,
        streaming_sliding_window_slow_speed: int = 3,
        streaming_sliding_window_audio_frame_rate: int = 50,
        streaming_sliding_window_text_window_size: int = 50,
        streaming_sliding_window_audio_init_text_length: int = 10,
        streaming_sliding_window_audio_window_size: int = 300,
        normalize_projected_hidden: bool = False,
        interleaved: bool = False,
        attention_type: str = "sliding_recompute",
        recomputed_chunks: int = 1,
        window_size: int = 2,
        **kwargs,
    ):
        super().__init__(**kwargs)

        self.llm_dim = llm_dim
        self.llm_hidden_size = llm_dim
        self.llm_intermediate_size = llm_intermediate_size
        self.llm_down_scale = llm_down_scale
        self.llm_dim_model_base = llm_dim_model_base
        self.projector_type = projector_type
        self.aug_loss_weight = aug_loss_weight
        self.aug_layer_loss_weight = aug_layer_loss_weight
        self.tts_filter_loss_fix = tts_filter_loss_fix
        self.filter_tts_loss = filter_tts_loss
        self.long_weight = long_weight
        self.short_weight = short_weight
        self.hidden_act = hidden_act

        self.hidden_size = hidden_size
        self.intermediate_size = intermediate_size
        self.num_attention_heads = num_attention_heads
        self.num_hidden_layers = num_hidden_layers
        self.num_key_value_heads = num_key_value_heads
        self.max_position_embeddings = max_position_embeddings
        self.num_audio_tokens = num_audio_tokens
        self.num_text_tokens = num_text_tokens
        self.num_mel_bins = num_mel_bins
        self.num_vq = num_vq
        self.use_llm_hidden_state = use_llm_hidden_state
        self.audio_bos_token_id = audio_bos_token_id
        self.text_eos_token_id = text_eos_token_id
        self.use_text = use_text
        self.streaming = streaming
        self.streaming_text_chunk_min = streaming_text_chunk_min
        self.streaming_text_chunk_max = streaming_text_chunk_max
        self.streaming_text_reserved_len = streaming_text_reserved_len
        self.streaming_audio_chunk_size = streaming_audio_chunk_size
        self.attn_implementation = attn_implementation
        self.condition_type = condition_type
        self.backbone_model = backbone_model
        self.audio_tokenizer_type = audio_tokenizer_type
        self.audio_tokenizer_sample_rate = audio_tokenizer_sample_rate

        self.streaming_sliding_window = streaming_sliding_window
        self.streaming_sliding_window_max_text_len = streaming_sliding_window_max_text_len
        self.streaming_sliding_window_average_speed = streaming_sliding_window_average_speed
        self.streaming_sliding_window_fast_speed = streaming_sliding_window_fast_speed
        self.streaming_sliding_window_slow_speed = streaming_sliding_window_slow_speed
        self.streaming_sliding_window_audio_frame_rate = streaming_sliding_window_audio_frame_rate
        self.streaming_sliding_window_text_window_size = streaming_sliding_window_text_window_size
        self.streaming_sliding_window_audio_init_text_length = streaming_sliding_window_audio_init_text_length
        self.streaming_sliding_window_audio_window_size = streaming_sliding_window_audio_window_size

        self.normalize_projected_hidden = normalize_projected_hidden

        self.interleaved = interleaved
        self.attention_type = attention_type
        self.recomputed_chunks = recomputed_chunks
        self.window_size = window_size