



'''simple docstring'''





import argparse
from pathlib import Path
from typing import Dict, OrderedDict, Tuple

import torch
from audiocraft.models import MusicGen

from transformers import (
    AutoFeatureExtractor,
    AutoTokenizer,
    EncodecModel,
    MusicgenDecoderConfig,
    MusicgenForConditionalGeneration,
    MusicgenProcessor,
    TaEncoderModel,
)
from transformers.models.musicgen.modeling_musicgen import MusicgenForCausalLM
from transformers.utils import logging


logging.set_verbosity_info()
__a          =		logging.get_logger(__name__)


__a          =		["model.decoder.embed_positions.weights"]





def 						__snake_case(				_lowerCAmelCase		)		-> Any:
      if "emb" in name:
            snake_case__  :    int    						=      name.replace("""emb"""     ,   """model.decoder.embed_tokens"""		)
      if "transformer" in name:
            snake_case__  :    int    						=      name.replace("""transformer"""     ,   """model.decoder"""		)
      if "cross_attention" in name:
            snake_case__  :    Optional[int]    						=      name.replace("""cross_attention"""     ,   """encoder_attn"""		)
      if "linear1" in name:
            snake_case__  :    Union[str, Any]    						=      name.replace("""linear1"""     ,   """fc1"""		)
      if "linear2" in name:
            snake_case__  :    List[Any]    						=      name.replace("""linear2"""     ,   """fc2"""		)
      if "norm1" in name:
            snake_case__  :    int    						=      name.replace("""norm1"""     ,   """self_attn_layer_norm"""		)
      if "norm_cross" in name:
            snake_case__  :    Any    						=      name.replace("""norm_cross"""     ,   """encoder_attn_layer_norm"""		)
      if "norm2" in name:
            snake_case__  :    int    						=      name.replace("""norm2"""     ,   """final_layer_norm"""		)
      if "out_norm" in name:
            snake_case__  :    str    						=      name.replace("""out_norm"""     ,   """model.decoder.layer_norm"""		)
      if "linears" in name:
            snake_case__  :    Tuple    						=      name.replace("""linears"""     ,   """lm_heads"""		)
      if "condition_provider.conditioners.description.output_proj" in name:
            snake_case__  :    int    						=      name.replace("""condition_provider.conditioners.description.output_proj"""     ,   """enc_to_dec_proj"""		)
      return name





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase		)		-> Tuple[Dict, Dict]:
      snake_case__  :    Any    						=      list(state_dict.keys()		)
      snake_case__  :    Tuple    						=      {}
      for key in keys:
            snake_case__  :    Tuple    						=      state_dict.pop(_lowerCAmelCase		)
            snake_case__  :    List[Any]    						=      rename_keys(_lowerCAmelCase		)
            if "in_proj_weight" in key:
                  # split fused qkv proj
                  snake_case__  :    List[Any]    						=      val[:hidden_size, :]
                  snake_case__  :    List[Any]    						=      val[hidden_size : 2 * hidden_size, :]
                  snake_case__  :    Dict    						=      val[-hidden_size:, :]
            elif "enc_to_dec_proj" in key:
                  snake_case__  :    Union[str, Any]    						=      val
            else:
                  snake_case__  :    int    						=      val
      return state_dict, enc_dec_proj_state_dict





def 						__snake_case(				_lowerCAmelCase		)		-> MusicgenDecoderConfig:
      if checkpoint == "small":
            # default config values
            snake_case__  :    Dict    						=      1_024
            snake_case__  :    Tuple    						=      24
            snake_case__  :    int    						=      16
      elif checkpoint == "medium":
            snake_case__  :    List[str]    						=      1_536
            snake_case__  :    List[Any]    						=      48
            snake_case__  :    int    						=      24
      elif checkpoint == "large":
            snake_case__  :    Optional[Any]    						=      2_048
            snake_case__  :    Optional[int]    						=      48
            snake_case__  :    List[Any]    						=      32
      else:
            raise ValueError(f"Checkpoint should be one of `['small', 'medium', 'large']`, got {checkpoint}."		)
      snake_case__  :    List[Any]    						=      MusicgenDecoderConfig(
          hidden_size=_lowerCAmelCase     ,   ffn_dim=hidden_size * 4     ,   num_hidden_layers=_lowerCAmelCase     ,   num_attention_heads=_lowerCAmelCase     ,   )
      return config





@torch.no_grad()
def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase=None     ,   _lowerCAmelCase=None     ,   _lowerCAmelCase="cpu"		)		-> Any:
      snake_case__  :    List[str]    						=      MusicGen.get_pretrained(_lowerCAmelCase     ,   device=_lowerCAmelCase		)
      snake_case__  :    Any    						=      decoder_config_from_checkpoint(_lowerCAmelCase		)

      snake_case__  :    int    						=      fairseq_model.lm.state_dict()
      snake_case__						,				snake_case__  :    List[Any]    						=      rename_state_dict(
          _lowerCAmelCase     ,   hidden_size=decoder_config.hidden_size		)

      snake_case__  :    int    						=      TaEncoderModel.from_pretrained("""t5-base"""		)
      snake_case__  :    Dict    						=      EncodecModel.from_pretrained("""facebook/encodec_32khz"""		)
      snake_case__  :    str    						=      MusicgenForCausalLM(_lowerCAmelCase		).eval()

      # load all decoder weights - expect that we'll be missing embeddings and enc-dec projection
      snake_case__						,				snake_case__  :    Tuple    						=      decoder.load_state_dict(_lowerCAmelCase     ,   strict=_lowerCAmelCase		)

      for key in missing_keys.copy():
            if key.startswith(("""text_encoder""", """audio_encoder""")		) or key in EXPECTED_MISSING_KEYS:
                  missing_keys.remove(_lowerCAmelCase		)

      if len(_lowerCAmelCase		) > 0:
            raise ValueError(f"Missing key(s) in state_dict: {missing_keys}"		)

      if len(_lowerCAmelCase		) > 0:
            raise ValueError(f"Unexpected key(s) in state_dict: {unexpected_keys}"		)

      # init the composite model
      snake_case__  :    Tuple    						=      MusicgenForConditionalGeneration(text_encoder=_lowerCAmelCase     ,   audio_encoder=_lowerCAmelCase     ,   decoder=_lowerCAmelCase		)

      # load the pre-trained enc-dec projection (from the decoder state dict)
      model.enc_to_dec_proj.load_state_dict(_lowerCAmelCase		)

      # check we can do a forward pass
      snake_case__  :    Optional[Any]    						=      torch.arange(0     ,   8     ,   dtype=torch.long		).reshape(2     ,   -1		)
      snake_case__  :    List[Any]    						=      input_ids.reshape(2 * 4     ,   -1		)

      with torch.no_grad():
            snake_case__  :    Optional[int]    						=      model(input_ids=_lowerCAmelCase     ,   decoder_input_ids=_lowerCAmelCase		).logits

      if logits.shape != (8, 1, 2_048):
            raise ValueError("""Incorrect shape for logits"""		)

      # now construct the processor
      snake_case__  :    Optional[int]    						=      AutoTokenizer.from_pretrained("""t5-base"""		)
      snake_case__  :    Union[str, Any]    						=      AutoFeatureExtractor.from_pretrained("""facebook/encodec_32khz"""     ,   padding_side="""left"""		)

      snake_case__  :    Tuple    						=      MusicgenProcessor(feature_extractor=_lowerCAmelCase     ,   tokenizer=_lowerCAmelCase		)

      # set the appropriate bos/pad token ids
      snake_case__  :    Dict    						=      2_048
      snake_case__  :    Optional[int]    						=      2_048

      # set other default generation config params
      snake_case__  :    Tuple    						=      int(30 * audio_encoder.config.frame_rate		)
      snake_case__  :    Tuple    						=      True
      snake_case__  :    Tuple    						=      3.0

      if pytorch_dump_folder is not None:
            Path(_lowerCAmelCase		).mkdir(exist_ok=_lowerCAmelCase		)
            logger.info(f"Saving model {checkpoint} to {pytorch_dump_folder}"		)
            model.save_pretrained(_lowerCAmelCase		)
            processor.save_pretrained(_lowerCAmelCase		)

      if repo_id:
            logger.info(f"Pushing model {checkpoint} to {repo_id}"		)
            model.push_to_hub(_lowerCAmelCase		)
            processor.push_to_hub(_lowerCAmelCase		)


if __name__ == "__main__":
       __a          =		argparse.ArgumentParser()
       # Required parameters
       parser.add_argument(
           "--checkpoint",
           default="small",
           type=str,
           help="Checkpoint size of the MusicGen model you'd like to convert. Can be one of: `['small', 'medium', 'large']`.",
       )
       parser.add_argument(
           "--pytorch_dump_folder",
           required=True,
           default=None,
           type=str,
           help="Path to the output PyTorch model directory.",
       )
       parser.add_argument(
           "--push_to_hub", default=None, type=str, help="Where to upload the converted model on the 🤗 hub."
       )
       parser.add_argument(
           "--device", default="cpu", type=str, help="Torch device to run the conversion, either cpu or cuda."
       )

       __a          =		parser.parse_args()
       convert_musicgen_checkpoint(args.checkpoint, args.pytorch_dump_folder, args.push_to_hub)





'''simple docstring'''





import argparse
import os
import re


__a          =		"src/transformers"

# Pattern that looks at the indentation in a line.
__a          =		re.compile(R"^(\s*)\S")
# Pattern that matches `"key":" and puts `key` in group 0.
__a          =		re.compile(R"^\s*\"([^\"]+)\":")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
__a          =		re.compile(R"^\s*_import_structure\[\"([^\"]+)\"\]")
# Pattern that matches `"key",` and puts `key` in group 0.
__a          =		re.compile(R"^\s*\"([^\"]+)\",\s*$")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
__a          =		re.compile(R"\[([^\]]+)\]")





def 						__snake_case(				_lowerCAmelCase		)		-> List[Any]:
      snake_case__  :    int    						=      _re_indent.search(_lowerCAmelCase		)
      return "" if search is None else search.groups()[0]





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase=""     ,   _lowerCAmelCase=None     ,   _lowerCAmelCase=None		)		-> List[str]:
      snake_case__  :    str    						=      0
      snake_case__  :    Union[str, Any]    						=      code.split("""\n"""		)
      if start_prompt is not None:
            while not lines[index].startswith(_lowerCAmelCase		):
                  index += 1
            snake_case__  :    Tuple    						=      ["""\n""".join(lines[:index]		)]
      else:
            snake_case__  :    List[str]    						=      []

      # We split into blocks until we get to the `end_prompt` (or the end of the block).
      snake_case__  :    Optional[int]    						=      [lines[index]]
      index += 1
      while index < len(_lowerCAmelCase		) and (end_prompt is None or not lines[index].startswith(_lowerCAmelCase		)):
            if len(lines[index]		) > 0 and get_indent(lines[index]		) == indent_level:
                  if len(_lowerCAmelCase		) > 0 and get_indent(current_block[-1]		).startswith(indent_level + """ """		):
                        current_block.append(lines[index]		)
                        blocks.append("""\n""".join(_lowerCAmelCase		)		)
                        if index < len(_lowerCAmelCase		) - 1:
                              snake_case__  :    str    						=      [lines[index + 1]]
                              index += 1
                        else:
                              snake_case__  :    int    						=      []
                  else:
                        blocks.append("""\n""".join(_lowerCAmelCase		)		)
                        snake_case__  :    Optional[Any]    						=      [lines[index]]
            else:
                  current_block.append(lines[index]		)
            index += 1

      # Adds current block if it's nonempty.
      if len(_lowerCAmelCase		) > 0:
            blocks.append("""\n""".join(_lowerCAmelCase		)		)

      # Add final block after end_prompt if provided.
      if end_prompt is not None and index < len(_lowerCAmelCase		):
            blocks.append("""\n""".join(lines[index:]		)		)

      return blocks





def 						__snake_case(				_lowerCAmelCase		)		-> Tuple:

      def _inner(_lowerCAmelCase		):
            return key(_lowerCAmelCase		).lower().replace("""_"""     ,   """"""		)

      return _inner





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase=None		)		-> List[Any]:

      # If no key is provided, we use a noop.
      def noop(_lowerCAmelCase		):
            return x

      if key is None:
            snake_case__  :    Optional[int]    						=      noop
      # Constants are all uppercase, they go first.
      snake_case__  :    Optional[int]    						=      [obj for obj in objects if key(_lowerCAmelCase		).isupper()]
      # Classes are not all uppercase but start with a capital, they go second.
      snake_case__  :    int    						=      [obj for obj in objects if key(_lowerCAmelCase		)[0].isupper() and not key(_lowerCAmelCase		).isupper()]
      # Functions begin with a lowercase, they go last.
      snake_case__  :    str    						=      [obj for obj in objects if not key(_lowerCAmelCase		)[0].isupper()]

      snake_case__  :    List[str]    						=      ignore_underscore(_lowerCAmelCase		)
      return sorted(_lowerCAmelCase     ,   key=_lowerCAmelCase		) + sorted(_lowerCAmelCase     ,   key=_lowerCAmelCase		) + sorted(_lowerCAmelCase     ,   key=_lowerCAmelCase		)





def 						__snake_case(				_lowerCAmelCase		)		-> int:

      # This inner function sort imports between [ ].
      def _replace(_lowerCAmelCase		):
            snake_case__  :    Union[str, Any]    						=      match.groups()[0]
            if "," not in imports:
                  return f"[{imports}]"
            snake_case__  :    int    						=      [part.strip().replace("""\""""     ,   """"""		) for part in imports.split(""","""		)]
            # We will have a final empty element if the line finished with a comma.
            if len(keys[-1]		) == 0:
                  snake_case__  :    List[str]    						=      keys[:-1]
            return "[" + ", ".join([f"\"{k}\"" for k in sort_objects(_lowerCAmelCase		)]		) + "]"

      snake_case__  :    str    						=      import_statement.split("""\n"""		)
      if len(_lowerCAmelCase		) > 3:
            # Here we have to sort internal imports that are on several lines (one per name):
            # key: [
            #     "object1",
            #     "object2",
            #     ...
            # ]

            # We may have to ignore one or two lines on each side.
            snake_case__  :    Dict    						=      2 if lines[1].strip() == """[""" else 1
            snake_case__  :    str    						=      [(i, _re_strip_line.search(_lowerCAmelCase		).groups()[0]) for i, line in enumerate(lines[idx:-idx]		)]
            snake_case__  :    str    						=      sort_objects(_lowerCAmelCase     ,   key=lambda _lowerCAmelCase		: x[1]		)
            snake_case__  :    Union[str, Any]    						=      [lines[x[0] + idx] for x in sorted_indices]
            return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]		)
      elif len(_lowerCAmelCase		) == 3:
            # Here we have to sort internal imports that are on one separate line:
            # key: [
            #     "object1", "object2", ...
            # ]
            if _re_bracket_content.search(lines[1]		) is not None:
                  snake_case__  :    Union[str, Any]    						=      _re_bracket_content.sub(_replace     ,   lines[1]		)
            else:
                  snake_case__  :    List[Any]    						=      [part.strip().replace("""\""""     ,   """"""		) for part in lines[1].split(""","""		)]
                  # We will have a final empty element if the line finished with a comma.
                  if len(keys[-1]		) == 0:
                        snake_case__  :    List[str]    						=      keys[:-1]
                  snake_case__  :    int    						=      get_indent(lines[1]		) + """, """.join([f"\"{k}\"" for k in sort_objects(_lowerCAmelCase		)]		)
            return "\n".join(_lowerCAmelCase		)
      else:
            # Finally we have to deal with imports fitting on one line
            snake_case__  :    Optional[Any]    						=      _re_bracket_content.sub(_replace     ,   _lowerCAmelCase		)
            return import_statement





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase=True		)		-> Dict:
      with open(_lowerCAmelCase     ,   encoding="""utf-8"""		) as f:
            snake_case__  :    Optional[int]    						=      f.read()

      if "_import_structure" not in code:
            return

      # Blocks of indent level 0
      snake_case__  :    Optional[int]    						=      split_code_in_indented_blocks(
          _lowerCAmelCase     ,   start_prompt="""_import_structure = {"""     ,   end_prompt="""if TYPE_CHECKING:"""		)

      # We ignore block 0 (everything untils start_prompt) and the last block (everything after end_prompt).
      for block_idx in range(1     ,   len(_lowerCAmelCase		) - 1		):
            # Check if the block contains some `_import_structure`s thingy to sort.
            snake_case__  :    Optional[Any]    						=      main_blocks[block_idx]
            snake_case__  :    Dict    						=      block.split("""\n"""		)

            # Get to the start of the imports.
            snake_case__  :    Dict    						=      0
            while line_idx < len(_lowerCAmelCase		) and "_import_structure" not in block_lines[line_idx]:
                  # Skip dummy import blocks
                  if "import dummy" in block_lines[line_idx]:
                        snake_case__  :    Union[str, Any]    						=      len(_lowerCAmelCase		)
                  else:
                        line_idx += 1
            if line_idx >= len(_lowerCAmelCase		):
                  continue

            # Ignore beginning and last line: they don't contain anything.
            snake_case__  :    List[str]    						=      """\n""".join(block_lines[line_idx:-1]		)
            snake_case__  :    str    						=      get_indent(block_lines[1]		)
            # Slit the internal block into blocks of indent level 1.
            snake_case__  :    Optional[int]    						=      split_code_in_indented_blocks(_lowerCAmelCase     ,   indent_level=_lowerCAmelCase		)
            # We have two categories of import key: list or _import_structure[key].append/extend
            snake_case__  :    Tuple    						=      _re_direct_key if """_import_structure = {""" in block_lines[0] else _re_indirect_key
            # Grab the keys, but there is a trap: some lines are empty or just comments.
            snake_case__  :    Optional[Any]    						=      [(pattern.search(_lowerCAmelCase		).groups()[0] if pattern.search(_lowerCAmelCase		) is not None else None) for b in internal_blocks]
            # We only sort the lines with a key.
            snake_case__  :    Dict    						=      [(i, key) for i, key in enumerate(_lowerCAmelCase		) if key is not None]
            snake_case__  :    Union[str, Any]    						=      [x[0] for x in sorted(_lowerCAmelCase     ,   key=lambda _lowerCAmelCase		: x[1]		)]

            # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
            snake_case__  :    List[Any]    						=      0
            snake_case__  :    Optional[Any]    						=      []
            for i in range(len(_lowerCAmelCase		)		):
                  if keys[i] is None:
                        reorderded_blocks.append(internal_blocks[i]		)
                  else:
                        snake_case__  :    Optional[Any]    						=      sort_objects_in_import(internal_blocks[sorted_indices[count]]		)
                        reorderded_blocks.append(_lowerCAmelCase		)
                        count += 1

        # And we put our main block back together with its first and last line.
            snake_case__  :    Dict    						=      """\n""".join(block_lines[:line_idx] + reorderded_blocks + [block_lines[-1]]		)

      if code != "\n".join(_lowerCAmelCase		):
            if check_only:
                  return True
            else:
                  print(f"Overwriting {file}."		)
                  with open(_lowerCAmelCase     ,   """w"""     ,   encoding="""utf-8"""		) as f:
                        f.write("""\n""".join(_lowerCAmelCase		)		)





def 						__snake_case(				_lowerCAmelCase=True		)		-> Tuple:
      snake_case__  :    str    						=      []
      for root, _, files in os.walk(_lowerCAmelCase		):
            if "__init__.py" in files:
                  snake_case__  :    Union[str, Any]    						=      sort_imports(os.path.join(_lowerCAmelCase     ,   """__init__.py"""		)     ,   check_only=_lowerCAmelCase		)
                  if result:
                        snake_case__  :    Union[str, Any]    						=      [os.path.join(_lowerCAmelCase     ,   """__init__.py"""		)]
      if len(_lowerCAmelCase		) > 0:
            raise ValueError(f"Would overwrite {len(_lowerCAmelCase		)} files, run `make style`."		)


if __name__ == "__main__":
       __a          =		argparse.ArgumentParser()
       parser.add_argument("--check_only", action="store_true", help="Whether to only check or fix style.")
       __a          =		parser.parse_args()

       sort_imports_in_all_inits(check_only=args.check_only)
