import argparse
import json
import os
from pathlib import Path

import requests
import torch

from transformers import JukeboxConfig, JukeboxModel
from transformers.utils import logging


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


UpperCamelCase__											=					'https://openaipublic.azureedge.net/jukebox/models/'
UpperCamelCase__											=					{
    'jukebox-1b-lyrics': [
        '5b/vqvae.pth.tar',
        '5b/prior_level_0.pth.tar',
        '5b/prior_level_1.pth.tar',
        '1b_lyrics/prior_level_2.pth.tar',
    ],
    'jukebox-5b-lyrics': [
        '5b/vqvae.pth.tar',
        '5b/prior_level_0.pth.tar',
        '5b/prior_level_1.pth.tar',
        '5b_lyrics/prior_level_2.pth.tar',
    ],
}




def    lowerCAmelCase_ (     __A							)     ->				Any:







      '''simple docstring'''


      if key.endswith(".model.1.bias"							) and len(key.split("."							)							) > 10:
            UpperCAmelCase__								=  key.replace(".model.1.bias",  ".conv1d_1.bias"							)
      elif key.endswith(".model.1.weight"							) and len(key.split("."							)							) > 10:
            UpperCAmelCase__								=  key.replace(".model.1.weight",  ".conv1d_1.weight"							)
      elif key.endswith(".model.3.bias"							) and len(key.split("."							)							) > 10:
            UpperCAmelCase__								=  key.replace(".model.3.bias",  ".conv1d_2.bias"							)
      elif key.endswith(".model.3.weight"							) and len(key.split("."							)							) > 10:
            UpperCAmelCase__								=  key.replace(".model.3.weight",  ".conv1d_2.weight"							)

      if "conditioner_blocks.0." in key:
            UpperCAmelCase__								=  key.replace("conditioner_blocks.0",  "conditioner_blocks"							)

      if "prime_prior" in key:
            UpperCAmelCase__								=  key.replace("prime_prior",  "encoder"							)

      if ".emb." in key and "total" not in key and "absolute" not in key and "relative" not in key:
            UpperCAmelCase__								=  key.replace(".emb.",  "."							)

      if key.endswith("k"							):  # replace vqvae.X.k with vqvae.X.codebook
            return key.replace(".k",  ".codebook"							)
      if "y_emb." in key:
            return key.replace("y_emb.",  "metadata_embedding."							)

      if "x_emb.emb." in key:
            UpperCAmelCase__								=  key.replace("0.x_emb.emb",  "embed_tokens"							)

      if "prime_state_ln" in key:
            return key.replace("prime_state_ln",  "encoder.final_layer_norm"							)
      if ".ln" in key:
            return key.replace(".ln",  ".layer_norm"							)
      if "_ln" in key:
            return key.replace("_ln",  "_layer_norm"							)

      if "prime_state_proj" in key:
            return key.replace("prime_state_proj",  "encoder.proj_in"							)
      if "prime_x_out" in key:
            return key.replace("prime_x_out",  "encoder.lm_head"							)
      if "prior.x_out" in key:
            return key.replace("x_out",  "fc_proj_out"							)
      if "x_emb" in key:
            return key.replace("x_emb",  "embed_tokens"							)

      return key




def    lowerCAmelCase_ (     __A,  __A,  __A,  __A							)     ->				Dict:







      '''simple docstring'''


      UpperCAmelCase__								=  {}
      import re

      UpperCAmelCase__								=  re.compile(r"encoders.(\d*).level_blocks.(\d*).model.(\d*).(\d).(bias|weight)"							)
      UpperCAmelCase__								=  re.compile(
          r"encoders.(\d*).level_blocks.(\d*).model.(\d*).(\d).model.(\d*).model.(\d*).(bias|weight)"							)
      UpperCAmelCase__								=  re.compile(r"encoders.(\d*).level_blocks.(\d*).model.(\d*).(bias|weight)"							)

      UpperCAmelCase__								=  re.compile(r"decoders.(\d*).level_blocks.(\d*).model.(\d*).(\d).(bias|weight)"							)
      UpperCAmelCase__								=  re.compile(
          r"decoders.(\d*).level_blocks.(\d*).model.(\d*).(\d).model.(\d*).model.(\d*).(bias|weight)"							)
      UpperCAmelCase__								=  re.compile(r"decoders.(\d*).level_blocks.(\d*).model.(\d*).(bias|weight)"							)

      UpperCAmelCase__								=  re.compile(r"conditioner_blocks.(\d*).cond.model.(\d*).(\d).(bias|weight)"							)
      UpperCAmelCase__								=  re.compile(
          r"conditioner_blocks.(\d*).cond.model.(\d*).(\d).model.(\d*).model.(\d*).(bias|weight)"							)
      UpperCAmelCase__								=  re.compile(r"conditioner_blocks.(\d*).cond.model.(\d*).(bias|weight)"							)

      for original_key, value in state_dict.items():
            # rename vqvae.encoder keys
            if re_encoder_block_conv_in.fullmatch(__A							):
                  UpperCAmelCase__								=  re_encoder_block_conv_in.match(__A							)
                  UpperCAmelCase__								=  regex_match.groups()
                  UpperCAmelCase__								=  int(groups[2]							) * 2 + int(groups[3]							)
                  UpperCAmelCase__								=  f"""encoders.{groups[0]}.level_blocks.{groups[1]}.downsample_block.{block_index}.{groups[-1]}"""
                  UpperCAmelCase__								=  re_encoder_block_conv_in.sub(__A,  __A							)

            elif re_encoder_block_resnet.fullmatch(__A							):
                  UpperCAmelCase__								=  re_encoder_block_resnet.match(__A							)
                  UpperCAmelCase__								=  regex_match.groups()
                  UpperCAmelCase__								=  int(groups[2]							) * 2 + int(groups[3]							)
                  UpperCAmelCase__								=  {"1": 1, "3": 2}[groups[-2]]
                  UpperCAmelCase__								=  f"""encoders.{groups[0]}.level_blocks.{groups[1]}.downsample_block.{block_index}."""
                  UpperCAmelCase__								=  f"""resnet_block.{groups[-3]}.conv1d_{conv_index}.{groups[-1]}"""
                  UpperCAmelCase__								=  prefix + resnet_block
                  UpperCAmelCase__								=  re_encoder_block_resnet.sub(__A,  __A							)

            elif re_encoder_block_proj_out.fullmatch(__A							):
                  UpperCAmelCase__								=  re_encoder_block_proj_out.match(__A							)
                  UpperCAmelCase__								=  regex_match.groups()
                  UpperCAmelCase__								=  f"""encoders.{groups[0]}.level_blocks.{groups[1]}.proj_out.{groups[-1]}"""
                  UpperCAmelCase__								=  re_encoder_block_proj_out.sub(__A,  __A							)

            # rename vqvae.decoder keys
            elif re_decoder_block_conv_out.fullmatch(__A							):
                  UpperCAmelCase__								=  re_decoder_block_conv_out.match(__A							)
                  UpperCAmelCase__								=  regex_match.groups()
                  UpperCAmelCase__								=  int(groups[2]							) * 2 + int(groups[3]							) - 2
                  UpperCAmelCase__								=  f"""decoders.{groups[0]}.level_blocks.{groups[1]}.upsample_block.{block_index}.{groups[-1]}"""
                  UpperCAmelCase__								=  re_decoder_block_conv_out.sub(__A,  __A							)

            elif re_decoder_block_resnet.fullmatch(__A							):
                  UpperCAmelCase__								=  re_decoder_block_resnet.match(__A							)
                  UpperCAmelCase__								=  regex_match.groups()
                  UpperCAmelCase__								=  int(groups[2]							) * 2 + int(groups[3]							) - 2
                  UpperCAmelCase__								=  {"1": 1, "3": 2}[groups[-2]]
                  UpperCAmelCase__								=  f"""decoders.{groups[0]}.level_blocks.{groups[1]}.upsample_block.{block_index}."""
                  UpperCAmelCase__								=  f"""resnet_block.{groups[-3]}.conv1d_{conv_index}.{groups[-1]}"""
                  UpperCAmelCase__								=  prefix + resnet_block
                  UpperCAmelCase__								=  re_decoder_block_resnet.sub(__A,  __A							)

            elif re_decoder_block_proj_in.fullmatch(__A							):
                  UpperCAmelCase__								=  re_decoder_block_proj_in.match(__A							)
                  UpperCAmelCase__								=  regex_match.groups()
                  UpperCAmelCase__								=  f"""decoders.{groups[0]}.level_blocks.{groups[1]}.proj_in.{groups[-1]}"""
                  UpperCAmelCase__								=  re_decoder_block_proj_in.sub(__A,  __A							)

            # rename prior cond.model to upsampler.upsample_block and resnet
            elif re_prior_cond_conv_out.fullmatch(__A							):
                  UpperCAmelCase__								=  re_prior_cond_conv_out.match(__A							)
                  UpperCAmelCase__								=  regex_match.groups()
                  UpperCAmelCase__								=  int(groups[1]							) * 2 + int(groups[2]							) - 2
                  UpperCAmelCase__								=  f"""conditioner_blocks.upsampler.upsample_block.{block_index}.{groups[-1]}"""
                  UpperCAmelCase__								=  re_prior_cond_conv_out.sub(__A,  __A							)

            elif re_prior_cond_resnet.fullmatch(__A							):
                  UpperCAmelCase__								=  re_prior_cond_resnet.match(__A							)
                  UpperCAmelCase__								=  regex_match.groups()
                  UpperCAmelCase__								=  int(groups[1]							) * 2 + int(groups[2]							) - 2
                  UpperCAmelCase__								=  {"1": 1, "3": 2}[groups[-2]]
                  UpperCAmelCase__								=  f"""conditioner_blocks.upsampler.upsample_block.{block_index}."""
                  UpperCAmelCase__								=  f"""resnet_block.{groups[-3]}.conv1d_{conv_index}.{groups[-1]}"""
                  UpperCAmelCase__								=  prefix + resnet_block
                  UpperCAmelCase__								=  re_prior_cond_resnet.sub(__A,  __A							)

            elif re_prior_cond_proj_in.fullmatch(__A							):
                  UpperCAmelCase__								=  re_prior_cond_proj_in.match(__A							)
                  UpperCAmelCase__								=  regex_match.groups()
                  UpperCAmelCase__								=  f"""conditioner_blocks.upsampler.proj_in.{groups[-1]}"""
                  UpperCAmelCase__								=  re_prior_cond_proj_in.sub(__A,  __A							)

            # keep original key
            else:
                  UpperCAmelCase__								=  original_key

            UpperCAmelCase__								=  replace_key(__A							)

            if f"""{key_prefix}.{key}""" not in model_state_dict or key is None:
                  print(f"""failed converting {original_key} to {key}, does not match"""							)

            # handle missmatched shape
            elif value.shape != model_state_dict[f"""{key_prefix}.{key}"""].shape:
                  UpperCAmelCase__								=  model_state_dict[f"""{key_prefix}.{key}"""]
                  print(f"""{original_key}-> {key} : \nshape {val.shape} and { value.shape}, do not match"""							)
                  UpperCAmelCase__								=  original_key

            UpperCAmelCase__								=  original_key
            UpperCAmelCase__								=  value

      return new_dict




@torch.no_grad()
def    lowerCAmelCase_ (     __A=None,  __A=None							)     ->				Optional[Any]:







      '''simple docstring'''


      for file in MODEL_MAPPING[model_name]:
            if not os.path.isfile(f"""{pytorch_dump_folder_path}/{file.split("/"							)[-1]}"""							):
                  UpperCAmelCase__								=  requests.get(f"""{PREFIX}{file}""",  allow_redirects=__A							)
                  os.makedirs(f"""{pytorch_dump_folder_path}/""",  exist_ok=__A							)
                  open(f"""{pytorch_dump_folder_path}/{file.split("/"							)[-1]}""",  "wb"							).write(r.content							)

      UpperCAmelCase__								=  MODEL_MAPPING[model_name.split("/"							)[-1]]

      UpperCAmelCase__								=  JukeboxConfig.from_pretrained(__A							)
      UpperCAmelCase__								=  JukeboxModel(__A							)

      UpperCAmelCase__								=  []
      UpperCAmelCase__								=  {}
      for i, dict_name in enumerate(__A							):
            UpperCAmelCase__								=  torch.load(f"""{pytorch_dump_folder_path}/{dict_name.split("/"							)[-1]}"""							)["model"]

            UpperCAmelCase__								=  {}
            for k in old_dic.keys():
                  if k.endswith(".b"							):
                        UpperCAmelCase__								=  old_dic[k]
                  elif k.endswith(".w"							):
                        UpperCAmelCase__								=  old_dic[k]
                  elif "level_2" not in dict_name and "cond.model." in k:
                        UpperCAmelCase__								=  old_dic[k]
                  else:
                        UpperCAmelCase__								=  old_dic[k]

            UpperCAmelCase__								=  "vqvae" if i == 0 else f"""priors.{3 - i}"""
            UpperCAmelCase__								=  fix_jukebox_keys(__A,  model.state_dict(),  __A,  __A							)
            weight_dict.append(__A							)

      UpperCAmelCase__								=  weight_dict.pop(0							)
      model.vqvae.load_state_dict(__A							)
      for i in range(len(__A							)							):
            model.priors[i].load_state_dict(weight_dict[2 - i]							)

      Path(__A							).mkdir(exist_ok=__A							)
      with open(f"""{pytorch_dump_folder_path}/mapping.json""",  "w"							) as txtfile:
            json.dump(__A,  __A							)

      print(f"""Saving model {model_name} to {pytorch_dump_folder_path}"""							)
      model.save_pretrained(__A							)

      return weight_dict


if __name__ == "__main__":
      UpperCamelCase__											=					argparse.ArgumentParser()
      # Required parameters
      parser.add_argument(
          '--model_name',
          default='jukebox-5b-lyrics',
          type=str,
          help='Name of the model you\'d like to convert.',
      )
      parser.add_argument(
          '--pytorch_dump_folder_path',
          default='jukebox-5b-lyrics-converted',
          type=str,
          help='Path to the output PyTorch model directory.',
      )
      UpperCamelCase__											=					parser.parse_args()
      convert_openai_checkpoint(args.model_name, args.pytorch_dump_folder_path)











class __lowerCamelCase :





	"""simple docstring"""






	def __init__(							self       ,    UpperCAmelCase = ""       ,    UpperCAmelCase = False    ):
							"""simple docstring"""







							_UpperCAmelCase									=			{}

							# A node will be a leaf if the tree contains its word
							_UpperCAmelCase									=			is_leaf

							_UpperCAmelCase									=			prefix

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			0
							for q, w in zip(self.prefix       ,    UpperCAmelCase    ):
													if q != w:
																			break

													x += 1

							return self.prefix[:x], self.prefix[x:], word[x:]

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							for word in words:
													self.insert(UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							if self.prefix == word:
													_UpperCAmelCase									=			True

							# Case 2: The node has no edges that have a prefix to the word
							# Solution: We create an edge from the current node to a new one
							# containing the word
							elif word[0] not in self.nodes:
													_UpperCAmelCase									=			RadixNode(prefix=UpperCAmelCase       ,    is_leaf=UpperCAmelCase    )

							else:
													_UpperCAmelCase									=			self.nodes[word[0]]
													_UpperCAmelCase					, _UpperCAmelCase					, _UpperCAmelCase									=			incoming_node.match(
													    UpperCAmelCase    )

													# Case 3: The node prefix is equal to the matching
													# Solution: We insert remaining word on the next node
													if remaining_prefix == "":
																			self.nodes[matching_string[0]].insert(UpperCAmelCase    )

													# Case 4: The word is greater equal to the matching
													# Solution: Create a node in between both nodes, change
													# prefixes and add the new node for the remaining word
													else:
																			_UpperCAmelCase									=			remaining_prefix

																			_UpperCAmelCase									=			self.nodes[matching_string[0]]
																			_UpperCAmelCase									=			RadixNode(UpperCAmelCase       ,    UpperCAmelCase    )
																			_UpperCAmelCase									=			aux_node

																			if remaining_word == "":
																									_UpperCAmelCase									=			True
																			else:
																									self.nodes[matching_string[0]].insert(UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			self.nodes.get(word[0]       ,    UpperCAmelCase    )
							if not incoming_node:
													return False
							else:
													_UpperCAmelCase					, _UpperCAmelCase					, _UpperCAmelCase									=			incoming_node.match(
													    UpperCAmelCase    )
													# If there is remaining prefix, the word can't be on the tree
													if remaining_prefix != "":
																			return False
													# This applies when the word and the prefix are equal
													elif remaining_word == "":
																			return incoming_node.is_leaf
													# We have word remaining so we check the next node
													else:
																			return incoming_node.find(UpperCAmelCase    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			self.nodes.get(word[0]       ,    UpperCAmelCase    )
							if not incoming_node:
													return False
							else:
													_UpperCAmelCase					, _UpperCAmelCase					, _UpperCAmelCase									=			incoming_node.match(
													    UpperCAmelCase    )
													# If there is remaining prefix, the word can't be on the tree
													if remaining_prefix != "":
																			return False
													# We have word remaining so we check the next node
													elif remaining_word != "":
																			return incoming_node.delete(UpperCAmelCase    )
													else:
																			# If it is not a leaf, we don't have to delete
																			if not incoming_node.is_leaf:
																									return False
																			else:
																									# We delete the nodes if no edges go from it
																									if len(incoming_node.nodes    ) == 0:
																															del self.nodes[word[0]]
																															# We merge the current node with its only child
																															if len(self.nodes    ) == 1 and not self.is_leaf:
																																					_UpperCAmelCase									=			list(self.nodes.values()    )[0]
																																					_UpperCAmelCase									=			merging_node.is_leaf
																																					self.prefix += merging_node.prefix
																																					_UpperCAmelCase									=			merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																									elif len(incoming_node.nodes    ) > 1:
																															_UpperCAmelCase									=			False
																									# If there is 1 edge, we merge it with its child
																									else:
																															_UpperCAmelCase									=			list(incoming_node.nodes.values()    )[0]
																															_UpperCAmelCase									=			merging_node.is_leaf
																															incoming_node.prefix += merging_node.prefix
																															_UpperCAmelCase									=			merging_node.nodes

																									return True

	def        UpperCamelCase    (							self       ,    UpperCAmelCase = 0    ):
							"""simple docstring"""







							if self.prefix != "":
													print('-' * height       ,    self.prefix       ,    '  (leaf)' if self.is_leaf else ''    )

							for value in self.nodes.values():
													value.print_tree(height + 1    )



def __A    (      )->  bool:





						"""simple docstring"""



						_UpperCAmelCase									=			'banana bananas bandana band apple all beast'.split()
						_UpperCAmelCase									=			RadixNode()
						root.insert_many(__lowerCAmelCase	)

						assert all(root.find(__lowerCAmelCase	) for word in words	)
						assert not root.find('bandanas'	)
						assert not root.find('apps'	)
						root.delete('all'	)
						assert not root.find('all'	)
						root.delete('banana'	)
						assert not root.find('banana'	)
						assert root.find('bananas'	)

						return True


def __A    (      )->  None:





						"""simple docstring"""



						assert test_trie()


def __A    (      )->  None:





						"""simple docstring"""



						_UpperCAmelCase									=			RadixNode()
						_UpperCAmelCase									=			'banana bananas bandanas bandana band apple all beast'.split()
						root.insert_many(__lowerCAmelCase	)

						print('Words:' ,		__lowerCAmelCase	)
						print('Tree:'	)
						root.print_tree()


if __name__ == "__main__":
		main()
