

'''simple docstring'''






# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


lowerCAmelCase__      		=			get_logger(__name__)






class     lowercase_			:




  """simple docstring"""




  SCREAMING_SNAKE_CASE					:						List[str]           =    'dummy_data'
  SCREAMING_SNAKE_CASE					:						Tuple           =    'datasets'
  SCREAMING_SNAKE_CASE					:						Union[str, Any]           =    False






  def __init__(   self     :  Optional[int]      ,lowercase__     :  str      ,lowercase__     :  str      ,lowercase__     :  Union[Version, str]      ,lowercase__     :  Optional[str] = None      ,lowercase__     :  bool = False      ,lowercase__     :  bool = True      ,lowercase__     :  Optional[List[Callable]] = None      ,):
   __lowercase													=				0
   __lowercase													=				dataset_name
   __lowercase													=				cache_dir
   __lowercase													=				use_local_dummy_data
   __lowercase													=				config
   # download_callbacks take a single url as input
   __lowercase													=				download_callbacks or []
   # if False, it doesn't load existing files and it returns the paths of the dummy files relative
   # to the dummy_data zip file root
   __lowercase													=				load_existing_dummy_data

   # TODO(PVP, QL) might need to make this more general
   __lowercase													=				str(lowercase__    )
   # to be downloaded
   __lowercase													=				None
   __lowercase													=				None






  @property
  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[Any]    ):
   if self._dummy_file is None:
    __lowercase													=				self.download_dummy_data()
   return self._dummy_file






  @property
  def       SCREAMING_SNAKE_CASE   (   self     :  int    ):
   if self.config is not None:
    # structure is dummy / config_name / version_name
    return os.path.join('''dummy'''      ,self.config.name      ,self.version_name    )
   # structure is dummy / version_name
   return os.path.join('''dummy'''      ,self.version_name    )






  @property
  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[Any]    ):
   return os.path.join(self.dummy_data_folder      ,'''dummy_data.zip'''    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Union[str, Any]    ):
   __lowercase													=				(
       self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
   )

   __lowercase													=				cached_path(
       lowercase__      ,cache_dir=self.cache_dir      ,extract_compressed_file=lowercase__      ,force_extract=lowercase__    )

   return os.path.join(lowercase__      ,self.dummy_file_name    )






  @property
  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[int]    ):
   return os.path.join(self.datasets_scripts_dir      ,self.dataset_name      ,self.dummy_zip_file    )






  @property
  def       SCREAMING_SNAKE_CASE   (   self     :  int    ):
   if self._bucket_url is None:
    __lowercase													=				hf_github_url(self.dataset_name      ,self.dummy_zip_file.replace(os.sep      ,'''/'''    )    )
   return self._bucket_url






  @property
  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[int]    ):
   # return full path if its a dir
   if os.path.isdir(self.dummy_file    ):
    return self.dummy_file
   # else cut off path to file -> example `xsum`.
   return "/".join(self.dummy_file.replace(os.sep      ,'''/'''    ).split('''/'''    )[:-1]    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Union[str, Any]      ,lowercase__     :  Dict      ,*lowercase__     :  List[Any]    ):
   if self.load_existing_dummy_data:
    # dummy data is downloaded and tested
    __lowercase													=				self.dummy_file
   else:
    # dummy data cannot be downloaded and only the path to dummy file is returned
    __lowercase													=				self.dummy_file_name

   # special case when data_url is a dict
   if isinstance(lowercase__      ,lowercase__    ):
    return self.create_dummy_data_dict(lowercase__      ,lowercase__    )
   elif isinstance(lowercase__      ,(list, tuple)    ):
    return self.create_dummy_data_list(lowercase__      ,lowercase__    )
   else:
    return self.create_dummy_data_single(lowercase__      ,lowercase__    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Tuple      ,lowercase__     :  Optional[int]      ,*lowercase__     :  List[Any]    ):
   return self.download_and_extract(lowercase__    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[Any]      ,lowercase__     :  Tuple      ,lowercase__     :  Optional[int]    ):
   return self.download_and_extract(lowercase__    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[Any]      ,lowercase__     :  Any      ,*lowercase__     :  Tuple      ,**lowercase__     :  int    ):
   return path






  def       SCREAMING_SNAKE_CASE   (   self     :  int    ):
   return {}






  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[int]      ,lowercase__     :  int      ,lowercase__     :  int    ):
   __lowercase													=				{}
   for key, single_urls in data_url.items():
    for download_callback in self.download_callbacks:
     if isinstance(lowercase__      ,lowercase__    ):
      for single_url in single_urls:
       download_callback(lowercase__    )
     else:
      __lowercase													=				single_urls
      download_callback(lowercase__    )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
    if isinstance(lowercase__      ,lowercase__    ):
     __lowercase													=				[os.path.join(lowercase__      ,urllib.parse.quote_plus(Path(lowercase__    ).name    )    ) for x in single_urls]
    else:
     __lowercase													=				single_urls
     __lowercase													=				os.path.join(lowercase__      ,urllib.parse.quote_plus(Path(lowercase__    ).name    )    )
    __lowercase													=				value

   # make sure that values are unique
   if all(isinstance(lowercase__      ,lowercase__    ) for i in dummy_data_dict.values()    ) and len(set(dummy_data_dict.values()    )    ) < len(
       dummy_data_dict.values()    ):
    # append key to value to make its name unique
    __lowercase													=				{key: value + key for key, value in dummy_data_dict.items()}

   return dummy_data_dict






  def       SCREAMING_SNAKE_CASE   (   self     :  Tuple      ,lowercase__     :  Optional[int]      ,lowercase__     :  Dict    ):
   __lowercase													=				[]
   # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
   __lowercase													=				all(bool(re.findall('''[0-9]{3,}-of-[0-9]{3,}'''      ,lowercase__    )    ) for url in data_url    )
   __lowercase													=				all(
       url.startswith('''https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed'''    ) for url in data_url    )
   if data_url and (is_tf_records or is_pubmed_records):
    __lowercase													=				[data_url[0]] * len(lowercase__    )
   for single_url in data_url:
    for download_callback in self.download_callbacks:
     download_callback(lowercase__    )
    # we force the name of each key to be the last file / folder name of the url path
    # if the url has arguments, we need to encode them with urllib.parse.quote_plus
    __lowercase													=				os.path.join(lowercase__      ,urllib.parse.quote_plus(single_url.split('''/'''    )[-1]    )    )
    dummy_data_list.append(lowercase__    )
   return dummy_data_list






  def       SCREAMING_SNAKE_CASE   (   self     :  Tuple      ,lowercase__     :  Tuple      ,lowercase__     :  Dict    ):
   for download_callback in self.download_callbacks:
    download_callback(lowercase__    )
   # we force the name of each key to be the last file / folder name of the url path
   # if the url has arguments, we need to encode them with urllib.parse.quote_plus
   __lowercase													=				os.path.join(lowercase__      ,urllib.parse.quote_plus(data_url.split('''/'''    )[-1]    )    )
   if os.path.exists(lowercase__    ) or not self.load_existing_dummy_data:
    return value
   else:
    # Backward compatibility, maybe deprecate at one point.
    # For many datasets with single url calls to dl_manager.download_and_extract,
    # the dummy_data.zip file is actually the zipped downloaded file
    # while now we expected the dummy_data.zip file to be a directory containing
    # the downloaded file.
    return path_to_dummy_data






  def       SCREAMING_SNAKE_CASE   (   self     :  Any    ):
   pass






  def       SCREAMING_SNAKE_CASE   (   self     :  List[Any]    ):
   pass






  def       SCREAMING_SNAKE_CASE   (   self     :  List[str]      ,lowercase__     :  List[str]    ):
   def _iter_archive_members(lowercase__     :  int    ):
    # this preserves the order of the members inside the ZIP archive
    __lowercase													=				Path(self.dummy_file    ).parent
    __lowercase													=				path.relative_to(lowercase__    )
    with ZipFile(self.local_path_to_dummy_data    ) as zip_file:
     __lowercase													=				zip_file.namelist()
    for member in members:
     if member.startswith(relative_path.as_posix()    ):
      yield dummy_parent_path.joinpath(lowercase__    )

   __lowercase													=				Path(lowercase__    )
   __lowercase													=				_iter_archive_members(lowercase__    ) if self.use_local_dummy_data else path.rglob('''*'''    )
   for file_path in file_paths:
    if file_path.is_file() and not file_path.name.startswith(('''.''', '''__''')    ):
     yield file_path.relative_to(lowercase__    ).as_posix(), file_path.open('''rb'''    )






  def       SCREAMING_SNAKE_CASE   (   self     :  int      ,lowercase__     :  int    ):
   if not isinstance(lowercase__      ,lowercase__    ):
    __lowercase													=				[paths]
   for path in paths:
    if os.path.isfile(lowercase__    ):
     if os.path.basename(lowercase__    ).startswith(('''.''', '''__''')    ):
      return
     yield path
    else:
     for dirpath, dirnames, filenames in os.walk(lowercase__    ):
      if os.path.basename(lowercase__    ).startswith(('''.''', '''__''')    ):
       continue
      dirnames.sort()
      for filename in sorted(lowercase__    ):
       if filename.startswith(('''.''', '''__''')    ):
        continue
       yield os.path.join(lowercase__      ,lowercase__    )




'''simple docstring'''






import argparse
import json
import os

import torch
from transformers.file_utils import has_file

from diffusers import UNetaDConditionModel, UNetaDModel


lowerCAmelCase__      		=			False
lowerCAmelCase__      		=			True
lowerCAmelCase__      		=			False


if __name__ == "__main__":
 lowerCAmelCase__      		=			argparse.ArgumentParser()

 parser.add_argument(
     '''--repo_path''',
     default=None,
     type=str,
     required=True,
     help='''The config json file corresponding to the architecture.''',
 )

 parser.add_argument('''--dump_path''', default=None, type=str, required=True, help='''Path to the output model.''')

 lowerCAmelCase__      		=			parser.parse_args()

 lowerCAmelCase__      		=			{
     '''image_size''': '''sample_size''',
     '''num_res_blocks''': '''layers_per_block''',
     '''block_channels''': '''block_out_channels''',
     '''down_blocks''': '''down_block_types''',
     '''up_blocks''': '''up_block_types''',
     '''downscale_freq_shift''': '''freq_shift''',
     '''resnet_num_groups''': '''norm_num_groups''',
     '''resnet_act_fn''': '''act_fn''',
     '''resnet_eps''': '''norm_eps''',
     '''num_head_channels''': '''attention_head_dim''',
 }

 lowerCAmelCase__      		=			{
     '''time_steps''': '''time_proj''',
     '''mid''': '''mid_block''',
     '''downsample_blocks''': '''down_blocks''',
     '''upsample_blocks''': '''up_blocks''',
 }

 lowerCAmelCase__      		=			'''''' if has_file(args.repo_path, '''config.json''') else '''unet'''

 with open(os.path.join(args.repo_path, subfolder, '''config.json'''), '''r''', encoding='''utf-8''') as reader:
  lowerCAmelCase__      		=			reader.read()
  lowerCAmelCase__      		=			json.loads(text)

 if do_only_config:
  for key in config_parameters_to_change.keys():
   config.pop(key, None)

 if has_file(args.repo_path, '''config.json'''):
  lowerCAmelCase__      		=			UNetaDModel(**config)
 else:
  lowerCAmelCase__      		=			UNetaDConditionModel if '''ldm-text2im-large-256''' in args.repo_path else UNetaDModel
  lowerCAmelCase__      		=			class_name(**config)

 if do_only_config:
  model.save_config(os.path.join(args.repo_path, subfolder))

 lowerCAmelCase__      		=			dict(model.config)

 if do_only_renaming:
  for key, value in config_parameters_to_change.items():
   if key in config:
    lowerCAmelCase__      		=			config[key]
    del config[key]

  lowerCAmelCase__      		=			[k.replace('''UNetRes''', '''''') for k in config['''down_block_types''']]
  lowerCAmelCase__      		=			[k.replace('''UNetRes''', '''''') for k in config['''up_block_types''']]

 if do_only_weights:
  lowerCAmelCase__      		=			torch.load(os.path.join(args.repo_path, subfolder, '''diffusion_pytorch_model.bin'''))

  lowerCAmelCase__      		=			{}
  for param_key, param_value in state_dict.items():
   if param_key.endswith('''.op.bias''') or param_key.endswith('''.op.weight'''):
    continue
   lowerCAmelCase__      		=			False
   for key, new_key in key_parameters_to_change.items():
    if not has_changed and param_key.split('''.''')[0] == key:
     lowerCAmelCase__      		=			param_value
     lowerCAmelCase__      		=			True
   if not has_changed:
    lowerCAmelCase__      		=			param_value

  model.load_state_dict(new_state_dict)
  model.save_pretrained(os.path.join(args.repo_path, subfolder))

