
import argparse
import json
import os

import torch
from transformers.file_utils import has_file

from diffusers import UNetaDConditionModel, UNetaDModel


SCREAMING_SNAKE_CASE							:Union[str, Any]							 =				False
SCREAMING_SNAKE_CASE							:Any							 =				True
SCREAMING_SNAKE_CASE							:Tuple							 =				False


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE							:Tuple							 =				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.')

					SCREAMING_SNAKE_CASE							:Union[str, Any]							 =				parser.parse_args()

					SCREAMING_SNAKE_CASE							:Dict							 =				{
					    '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',
					}

					SCREAMING_SNAKE_CASE							:Optional[int]							 =				{
					    'time_steps': 'time_proj',
					    'mid': 'mid_block',
					    'downsample_blocks': 'down_blocks',
					    'upsample_blocks': 'up_blocks',
					}

					SCREAMING_SNAKE_CASE							:int							 =				'' 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:
										SCREAMING_SNAKE_CASE							:Dict							 =				reader.read()
										SCREAMING_SNAKE_CASE							:List[str]							 =				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'):
										SCREAMING_SNAKE_CASE							:Optional[int]							 =				UNetaDModel(**config)
					else:
										SCREAMING_SNAKE_CASE							:Optional[Any]							 =				UNetaDConditionModel if 'ldm-text2im-large-256' in args.repo_path else UNetaDModel
										SCREAMING_SNAKE_CASE							:List[str]							 =				class_name(**config)

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

					SCREAMING_SNAKE_CASE							:List[str]							 =				dict(model.config)

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

										SCREAMING_SNAKE_CASE							:Optional[Any]							 =				[k.replace('UNetRes', '') for k in config['down_block_types']]
										SCREAMING_SNAKE_CASE							:List[Any]							 =				[k.replace('UNetRes', '') for k in config['up_block_types']]

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

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

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







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    Union[str, Any]:
  __snake_case:						List[Any]   =						[]
  __snake_case:						List[str]   =						[]
  __snake_case:						List[str]   =						{
      """^""": 3,
      """*""": 2,
      """/""": 2,
      """%""": 2,
      """+""": 1,
      """-""": 1,
  }  # Priority of each operator
  __snake_case:						Union[str, Any]   =						len(SCREAMING_SNAKE_CASE__) if (len(SCREAMING_SNAKE_CASE__) > 7) else 7

  # Print table header for output
  print(
      """Symbol""".center(8)					,					"""Stack""".center(SCREAMING_SNAKE_CASE__)					,					"""Postfix""".center(SCREAMING_SNAKE_CASE__)					,					sep=""" | """					,					)
  print("""-""" * (print_width * 3 + 7))

  for x in infix:
    if x.isalpha() or x.isdigit():
      post_fix.append(SCREAMING_SNAKE_CASE__)  # if x is Alphabet / Digit, add it to Postfix
    elif x == "(":
      stack.append(SCREAMING_SNAKE_CASE__)  # if x is "(" push to Stack
    elif x == ")":  # if x is ")" pop stack until "(" is encountered
      while stack[-1] != "(":
        post_fix.append(stack.pop())  # Pop stack & add the content to Postfix
      stack.pop()
    else:
      if len(SCREAMING_SNAKE_CASE__) == 0:
        stack.append(SCREAMING_SNAKE_CASE__)  # If stack is empty, push x to stack
      else:  # while priority of x is not > priority of element in the stack
        while len(SCREAMING_SNAKE_CASE__) > 0 and priority[x] <= priority[stack[-1]]:
          post_fix.append(stack.pop())  # pop stack & add to Postfix
        stack.append(SCREAMING_SNAKE_CASE__)  # push x to stack

    print(
        x.center(8)					,					("""""".join(SCREAMING_SNAKE_CASE__)).ljust(SCREAMING_SNAKE_CASE__)					,					("""""".join(SCREAMING_SNAKE_CASE__)).ljust(SCREAMING_SNAKE_CASE__)					,					sep=""" | """					,					)  # Output in tabular format

  while len(SCREAMING_SNAKE_CASE__) > 0:  # while stack is not empty
    post_fix.append(stack.pop())  # pop stack & add to Postfix
    print(
        """ """.center(8)					,					("""""".join(SCREAMING_SNAKE_CASE__)).ljust(SCREAMING_SNAKE_CASE__)					,					("""""".join(SCREAMING_SNAKE_CASE__)).ljust(SCREAMING_SNAKE_CASE__)					,					sep=""" | """					,					)  # Output in tabular format

  return "".join(SCREAMING_SNAKE_CASE__)  # return Postfix as str







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    Tuple:
  __snake_case:						Optional[int]   =						list(infix[::-1])  # reverse the infix equation

  for i in range(len(SCREAMING_SNAKE_CASE__)):
    if infix[i] == "(":
      __snake_case:						int   =						""")"""  # change "(" to ")"
    elif infix[i] == ")":
      __snake_case:						Dict   =						"""("""  # change ")" to "("

  return (infix_2_postfix("""""".join(SCREAMING_SNAKE_CASE__)))[
      ::-1
  ]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
      __UpperCAmelCase       :   Optional[int]				       =							input("\nEnter an Infix Equation = ")  # Input an Infix equation
      __UpperCAmelCase       :   int				       =							"".join(Infix.split())  # Remove spaces from the input
      print("\n\t", Infix, "(Infix) -> ", infix_2_prefix(Infix), "(Prefix)")






