



"""simple docstring"""







import argparse
import re

import torch
from CLAP import create_model

from transformers import AutoFeatureExtractor, ClapConfig, ClapModel


lowercase__		:    Tuple				   =     {
    """text_branch""": """text_model""",
    """audio_branch""": """audio_model.audio_encoder""",
    """attn""": """attention.self""",
    """self.proj""": """output.dense""",
    """attention.self_mask""": """attn_mask""",
    """mlp.fc1""": """intermediate.dense""",
    """mlp.fc2""": """output.dense""",
    """norm1""": """layernorm_before""",
    """norm2""": """layernorm_after""",
    """bn0""": """batch_norm""",
}

lowercase__		:    List[Any]				   =     AutoFeatureExtractor.from_pretrained("""laion/clap-htsat-unfused""", truncation="""rand_trunc""")

def     UpperCamelCase_   (   lowerCAmelCase__				:    int   ,       lowerCAmelCase__				:    List[Any]=False						)						->       int:

  """simple docstring"""




  lowerCAmelCase_						,lowerCAmelCase_       :    Optional[int]								=			create_model(
      'HTSAT-tiny'   ,       'roberta'   ,       lowerCAmelCase__   ,       precision='fp32'   ,       device='cuda:0' if torch.cuda.is_available() else 'cpu'   ,       enable_fusion=lowerCAmelCase__   ,       fusion_type='aff_2d' if enable_fusion else None   ,       )
  return model, model_cfg

def     UpperCamelCase_   (   lowerCAmelCase__				:    List[str]						)						->       Optional[Any]:

  """simple docstring"""




  lowerCAmelCase_       :    Dict								=			{}

  lowerCAmelCase_       :    List[str]								=			R'.*sequential.(\d+).*'
  lowerCAmelCase_       :    Any								=			R'.*_projection.(\d+).*'

  for key, value in state_dict.items():
    # check if any key needs to be modified
    for key_to_modify, new_key in KEYS_TO_MODIFY_MAPPING.items():
      if key_to_modify in key:
        lowerCAmelCase_       :    int								=			key.replace(lowerCAmelCase__   ,       lowerCAmelCase__						)

    if re.match(lowerCAmelCase__   ,       lowerCAmelCase__						):
      # replace sequential layers with list
      lowerCAmelCase_       :    List[Any]								=			re.match(lowerCAmelCase__   ,       lowerCAmelCase__						).group(1						)

      lowerCAmelCase_       :    Optional[int]								=			key.replace(f"sequential.{sequential_layer}."   ,       f"layers.{int(lowerCAmelCase__						)//3}.linear."						)
    elif re.match(lowerCAmelCase__   ,       lowerCAmelCase__						):
      lowerCAmelCase_       :    Union[str, Any]								=			int(re.match(lowerCAmelCase__   ,       lowerCAmelCase__						).group(1						)						)

      # Because in CLAP they use `nn.Sequential`...
      lowerCAmelCase_       :    Optional[int]								=			1 if projecton_layer == 0 else 2

      lowerCAmelCase_       :    Dict								=			key.replace(f"_projection.{projecton_layer}."   ,       f"_projection.linear{transformers_projection_layer}."						)

    if "audio" and "qkv" in key:
      # split qkv into query key and value
      lowerCAmelCase_       :    Optional[Any]								=			value
      lowerCAmelCase_       :    str								=			mixed_qkv.size(0						) // 3

      lowerCAmelCase_       :    Optional[int]								=			mixed_qkv[:qkv_dim]
      lowerCAmelCase_       :    Tuple								=			mixed_qkv[qkv_dim : qkv_dim * 2]
      lowerCAmelCase_       :    str								=			mixed_qkv[qkv_dim * 2 :]

      lowerCAmelCase_       :    Optional[Any]								=			query_layer
      lowerCAmelCase_       :    int								=			key_layer
      lowerCAmelCase_       :    int								=			value_layer
    else:
      lowerCAmelCase_       :    Any								=			value

  return model_state_dict

def     UpperCamelCase_   (   lowerCAmelCase__				:    str   ,       lowerCAmelCase__				:    Optional[int]   ,       lowerCAmelCase__				:    Union[str, Any]   ,       lowerCAmelCase__				:    List[str]=False						)						->       List[str]:

  """simple docstring"""




  lowerCAmelCase_						,lowerCAmelCase_       :    List[Any]								=			init_clap(lowerCAmelCase__   ,       enable_fusion=lowerCAmelCase__						)

  clap_model.eval()
  lowerCAmelCase_       :    int								=			clap_model.state_dict()
  lowerCAmelCase_       :    List[Any]								=			rename_state_dict(lowerCAmelCase__						)

  lowerCAmelCase_       :    Dict								=			ClapConfig()
  lowerCAmelCase_       :    List[Any]								=			enable_fusion
  lowerCAmelCase_       :    Union[str, Any]								=			ClapModel(lowerCAmelCase__						)

  # ignore the spectrogram embedding layer
  model.load_state_dict(lowerCAmelCase__   ,       strict=lowerCAmelCase__						)

  model.save_pretrained(lowerCAmelCase__						)
  transformers_config.save_pretrained(lowerCAmelCase__						)


if __name__ == "__main__":
     lowercase__		:    Any				   =     argparse.ArgumentParser()
     parser.add_argument("""--pytorch_dump_folder_path""", default=None, type=str, help="""Path to the output PyTorch model.""")
     parser.add_argument("""--checkpoint_path""", default=None, type=str, help="""Path to fairseq checkpoint""")
     parser.add_argument("""--config_path""", default=None, type=str, help="""Path to hf config.json of model to convert""")
     parser.add_argument("""--enable_fusion""", action="""store_true""", help="""Whether to enable fusion or not""")
     lowercase__		:    Any				   =     parser.parse_args()

     convert_clap_checkpoint(args.checkpoint_path, args.pytorch_dump_folder_path, args.config_path, args.enable_fusion)










"""simple docstring"""







from __future__ import annotations

from fractions import Fraction
from math import gcd, sqrt

def     UpperCamelCase_   (   lowerCAmelCase__				:    int						)						->       bool:

  """simple docstring"""




  lowerCAmelCase_       :    int								=			int(number**0.5						)
  return number == sq * sq

def     UpperCamelCase_   (   lowerCAmelCase__				:    int   ,       lowerCAmelCase__				:    int   ,       lowerCAmelCase__				:    int   ,       lowerCAmelCase__				:    int   ,       lowerCAmelCase__				:    int   ,       lowerCAmelCase__				:    int						)						->       tuple[int, int]:

  """simple docstring"""




  lowerCAmelCase_       :    int								=			x_num * y_den * z_den + y_num * x_den * z_den + z_num * x_den * y_den
  lowerCAmelCase_       :    int								=			x_den * y_den * z_den
  lowerCAmelCase_       :    int								=			gcd(lowerCAmelCase__   ,       lowerCAmelCase__						)
  top //= hcf
  bottom //= hcf
  return top, bottom

def     UpperCamelCase_   (   lowerCAmelCase__				:    int = 35						)						->       int:

  """simple docstring"""




  lowerCAmelCase_       :    set								=			set()
  lowerCAmelCase_       :    int
  lowerCAmelCase_       :    Fraction								=			Fraction(0						)
  lowerCAmelCase_       :    tuple[int, int]

  for x_num in range(1   ,       order + 1						):
    for x_den in range(x_num + 1   ,       order + 1						):
      for y_num in range(1   ,       order + 1						):
        for y_den in range(y_num + 1   ,       order + 1						):
          # n=1
          lowerCAmelCase_       :    str								=			x_num * y_den + x_den * y_num
          lowerCAmelCase_       :    int								=			x_den * y_den
          lowerCAmelCase_       :    int								=			gcd(lowerCAmelCase__   ,       lowerCAmelCase__						)
          z_num //= hcf
          z_den //= hcf
          if 0 < z_num < z_den <= order:
            lowerCAmelCase_       :    List[str]								=			add_three(
                lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__						)
            unique_s.add(lowerCAmelCase__						)

          # n=2
          lowerCAmelCase_       :    Optional[int]								=			(
              x_num * x_num * y_den * y_den + x_den * x_den * y_num * y_num
          )
          lowerCAmelCase_       :    Dict								=			x_den * x_den * y_den * y_den
          if is_sq(lowerCAmelCase__						) and is_sq(lowerCAmelCase__						):
            lowerCAmelCase_       :    Optional[int]								=			int(sqrt(lowerCAmelCase__						)						)
            lowerCAmelCase_       :    List[str]								=			int(sqrt(lowerCAmelCase__						)						)
            lowerCAmelCase_       :    Union[str, Any]								=			gcd(lowerCAmelCase__   ,       lowerCAmelCase__						)
            z_num //= hcf
            z_den //= hcf
            if 0 < z_num < z_den <= order:
              lowerCAmelCase_       :    Union[str, Any]								=			add_three(
                  lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__						)
              unique_s.add(lowerCAmelCase__						)

                    # n=-1
          lowerCAmelCase_       :    Dict								=			x_num * y_num
          lowerCAmelCase_       :    Optional[int]								=			x_den * y_num + x_num * y_den
          lowerCAmelCase_       :    Any								=			gcd(lowerCAmelCase__   ,       lowerCAmelCase__						)
          z_num //= hcf
          z_den //= hcf
          if 0 < z_num < z_den <= order:
            lowerCAmelCase_       :    Tuple								=			add_three(
                lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__						)
            unique_s.add(lowerCAmelCase__						)

          # n=2
          lowerCAmelCase_       :    List[str]								=			x_num * x_num * y_num * y_num
          lowerCAmelCase_       :    Optional[Any]								=			(
              x_den * x_den * y_num * y_num + x_num * x_num * y_den * y_den
          )
          if is_sq(lowerCAmelCase__						) and is_sq(lowerCAmelCase__						):
            lowerCAmelCase_       :    Tuple								=			int(sqrt(lowerCAmelCase__						)						)
            lowerCAmelCase_       :    Optional[Any]								=			int(sqrt(lowerCAmelCase__						)						)
            lowerCAmelCase_       :    Optional[int]								=			gcd(lowerCAmelCase__   ,       lowerCAmelCase__						)
            z_num //= hcf
            z_den //= hcf
            if 0 < z_num < z_den <= order:
              lowerCAmelCase_       :    Any								=			add_three(
                  lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__   ,       lowerCAmelCase__						)
              unique_s.add(lowerCAmelCase__						)

  for num, den in unique_s:
    total += Fraction(lowerCAmelCase__   ,       lowerCAmelCase__						)

  return total.denominator + total.numerator


if __name__ == "__main__":
     print(f'{solution() = }')





