"""simple docstring"""
import argparse
import json
import os

import torch
from transformers.file_utils import has_file

from diffusers import UNetaDConditionModel, UNetaDModel


lowercase__ 	=     False
lowercase__ 	=     True
lowercase__ 	=     False


if __name__ == "__main__":
 lowercase__ 	=     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.')

 lowercase__ 	=     parser.parse_args()

 lowercase__ 	=     {
     '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',
 }

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

 lowercase__ 	=     '' 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:
  lowercase__ 	=     reader.read()
  lowercase__ 	=     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'):
  lowercase__ 	=     UNetaDModel(**config)
 else:
  lowercase__ 	=     UNetaDConditionModel if 'ldm-text2im-large-256' in args.repo_path else UNetaDModel
  lowercase__ 	=     class_name(**config)

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

 lowercase__ 	=     dict(model.config)

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

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

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

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

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



"""simple docstring"""
# Lint as: python3
# pylint: enable=line-too-long
# pylint: disable=g-import-not-at-top,g-bad-import-order,wrong-import-position

lowercase__ 	=     '2.13.1'

import platform

import pyarrow
from packaging import version


if version.parse(platform.python_version()) < version.parse('3.7'):
 raise ImportWarning(
     'To use `datasets`, Python>=3.7 is required, and the current version of Python doesn\'t match this condition.'
 )

if version.parse(pyarrow.__version__).major < 8:
 raise ImportWarning(
     'To use `datasets`, the module `pyarrow>=8.0.0` is required, and the current version of `pyarrow` doesn\'t match this condition.\n'
     'If you are running this in a Google Colab, you should probably just restart the runtime to use the right version of `pyarrow`.'
 )

del platform
del pyarrow
del version

from .arrow_dataset import Dataset
from .arrow_reader import ReadInstruction
from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
from .combine import concatenate_datasets, interleave_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .download import *
from .features import *
from .fingerprint import disable_caching, enable_caching, is_caching_enabled, set_caching_enabled
from .info import DatasetInfo, MetricInfo
from .inspect import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
    list_datasets,
    list_metrics,
)
from .iterable_dataset import IterableDataset
from .load import load_dataset, load_dataset_builder, load_from_disk, load_metric
from .metric import Metric
from .splits import (
    NamedSplit,
    NamedSplitAll,
    Split,
    SplitBase,
    SplitDict,
    SplitGenerator,
    SplitInfo,
    SubSplitInfo,
    percent,
)
from .tasks import *
from .utils import *
from .utils import logging


# deprecated modules
from datasets import arrow_dataset as _arrow_dataset  # isort:skip
from datasets import utils as _utils  # isort:skip
from datasets.utils import download_manager as _deprecated_download_manager  # isort:skip

lowercase__ 	=     concatenate_datasets
lowercase__ 	=     DownloadConfig
lowercase__ 	=     DownloadManager
lowercase__ 	=     DownloadMode
lowercase__ 	=     DownloadConfig
lowercase__ 	=     DownloadMode
lowercase__ 	=     DownloadManager

del _arrow_dataset, _utils, _deprecated_download_manager


