




'''simple docstring'''







import argparse
import collections
import importlib.util
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_table.py
lowercase			:      List[Any]			=					"""src/diffusers"""
lowercase			:      Any			=					"""docs/source/en"""
lowercase			:      Dict			=					"""."""



def 					lowerCamelCase__							(			__lowercase    ,      __lowercase    ,      __lowercase							):
     with open(__lowercase    ,      """r"""    ,      encoding="""utf-8"""    ,      newline="""\n"""							) as f:
          snake_case :			List[Any]					   = f.readlines()
     # Find the start prompt.
     snake_case :			int					   = 0
     while not lines[start_index].startswith(__lowercase							):
          start_index += 1
     start_index += 1

     snake_case :			Any					   = start_index
     while not lines[end_index].startswith(__lowercase							):
          end_index += 1
     end_index -= 1

     while len(lines[start_index]							) <= 1:
          start_index += 1
     while len(lines[end_index]							) <= 1:
          end_index -= 1
     end_index += 1
     return "".join(lines[start_index:end_index]							), start_index, end_index, lines


# Add here suffixes that are used to identify models, separated by |
lowercase			:      Dict			=					"""Model|Encoder|Decoder|ForConditionalGeneration"""
# Regexes that match TF/Flax/PT model names.
lowercase			:      Union[str, Any]			=					re.compile(R"""TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")
lowercase			:      int			=					re.compile(R"""Flax(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")
# Will match any TF or Flax model too so need to be in an else branch afterthe two previous regexes.
lowercase			:      Optional[Any]			=					re.compile(R"""(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")


# This is to make sure the diffusers module imported is the one in the repo.
lowercase			:      int			=					importlib.util.spec_from_file_location(
    """diffusers""",
    os.path.join(TRANSFORMERS_PATH, """__init__.py"""),
    submodule_search_locations=[TRANSFORMERS_PATH],
)
lowercase			:      Dict			=					spec.loader.load_module()



def 					lowerCamelCase__							(			__lowercase							):
     snake_case :			Tuple					   = re.finditer(""".+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)"""    ,      __lowercase							)
     return [m.group(0							) for m in matches]



def 					lowerCamelCase__							(			__lowercase    ,      __lowercase							):
     snake_case :			int					   = 2 if text == """✅""" or text == """❌""" else len(__lowercase							)
     snake_case :			int					   = (width - text_length) // 2
     snake_case :			str					   = width - text_length - left_indent
     return " " * left_indent + text + " " * right_indent



def 					lowerCamelCase__							(			):
     snake_case :			str					   = diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
     snake_case :			Any					   = {
         name: config_mapping_names[code]
         for code, name in diffusers_module.MODEL_NAMES_MAPPING.items()
         if code in config_mapping_names
     }
     snake_case :			Tuple					   = {name: config.replace("""ConfigMixin"""    ,      """"""							) for name, config in model_name_to_config.items()}

     # Dictionaries flagging if each model prefix has a slow/fast tokenizer, backend in PT/TF/Flax.
     snake_case :			str					   = collections.defaultdict(__lowercase							)
     snake_case :			Dict					   = collections.defaultdict(__lowercase							)
     snake_case :			str					   = collections.defaultdict(__lowercase							)
     snake_case :			Dict					   = collections.defaultdict(__lowercase							)
     snake_case :			Optional[Any]					   = collections.defaultdict(__lowercase							)

     # Let's lookup through all diffusers object (once).
     for attr_name in dir(__lowercase							):
          snake_case :			str					   = None
          if attr_name.endswith("""Tokenizer"""							):
               snake_case :			str					   = slow_tokenizers
               snake_case :			List[str]					   = attr_name[:-9]
          elif attr_name.endswith("""TokenizerFast"""							):
               snake_case :			int					   = fast_tokenizers
               snake_case :			Optional[Any]					   = attr_name[:-13]
          elif _re_tf_models.match(__lowercase							) is not None:
               snake_case :			List[str]					   = tf_models
               snake_case :			Tuple					   = _re_tf_models.match(__lowercase							).groups()[0]
          elif _re_flax_models.match(__lowercase							) is not None:
               snake_case :			Dict					   = flax_models
               snake_case :			List[Any]					   = _re_flax_models.match(__lowercase							).groups()[0]
          elif _re_pt_models.match(__lowercase							) is not None:
               snake_case :			Union[str, Any]					   = pt_models
               snake_case :			Tuple					   = _re_pt_models.match(__lowercase							).groups()[0]

          if lookup_dict is not None:
               while len(__lowercase							) > 0:
                    if attr_name in model_name_to_prefix.values():
                         snake_case :			Optional[Any]					   = True
                         break
                    # Try again after removing the last word in the name
                    snake_case :			Optional[Any]					   = """""".join(camel_case_split(__lowercase							)[:-1]							)

    # Let's build that table!
     snake_case :			List[str]					   = list(model_name_to_config.keys()							)
     model_names.sort(key=str.lower							)
     snake_case :			Union[str, Any]					   = ["""Model""", """Tokenizer slow""", """Tokenizer fast""", """PyTorch support""", """TensorFlow support""", """Flax Support"""]
     # We'll need widths to properly display everything in the center (+2 is to leave one extra space on each side).
     snake_case :			Optional[int]					   = [len(__lowercase							) + 2 for c in columns]
     snake_case :			Any					   = max([len(__lowercase							) for name in model_names]							) + 2

     # Build the table per se
     snake_case :			Optional[int]					   = """|""" + """|""".join([_center_text(__lowercase    ,      __lowercase							) for c, w in zip(__lowercase    ,      __lowercase							)]							) + """|\n"""
     # Use ":-----:" format to center-aligned table cell texts
     table += "|" + "|".join([""":""" + """-""" * (w - 2) + """:""" for w in widths]							) + "|\n"

     snake_case :			List[str]					   = {True: """✅""", False: """❌"""}
     for name in model_names:
          snake_case :			str					   = model_name_to_prefix[name]
          snake_case :			Union[str, Any]					   = [
              name,
              check[slow_tokenizers[prefix]],
              check[fast_tokenizers[prefix]],
              check[pt_models[prefix]],
              check[tf_models[prefix]],
              check[flax_models[prefix]],
          ]
          table += "|" + "|".join([_center_text(__lowercase    ,      __lowercase							) for l, w in zip(__lowercase    ,      __lowercase							)]							) + "|\n"
     return table



def 					lowerCamelCase__							(			__lowercase=False							):
     snake_case   ,		snake_case   ,		snake_case   ,		snake_case :			Optional[Any]					   = _find_text_in_file(
         filename=os.path.join(__lowercase    ,      """index.mdx"""							)    ,      start_prompt="""<!--This table is updated automatically from the auto modules"""    ,      end_prompt="""<!-- End table-->"""    ,      )
     snake_case :			Optional[Any]					   = get_model_table_from_auto_modules()

     if current_table != new_table:
          if overwrite:
               with open(os.path.join(__lowercase    ,      """index.mdx"""							)    ,      """w"""    ,      encoding="""utf-8"""    ,      newline="""\n"""							) as f:
                    f.writelines(lines[:start_index] + [new_table] + lines[end_index:]							)
          else:
               raise ValueError(
                   """The model table in the `index.mdx` has not been updated. Run `make fix-copies` to fix this."""							)


if __name__ == "__main__":
      lowercase			:      Union[str, Any]			=					argparse.ArgumentParser()
      parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
      lowercase			:      List[str]			=					parser.parse_args()

      check_model_table(args.fix_and_overwrite)









'''simple docstring'''







from .balanced_parentheses import balanced_parentheses
from .stack import Stack



def 					lowerCamelCase__							(			__lowercase							):
     return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(__lowercase    ,      -1							)



def 					lowerCamelCase__							(			__lowercase							):
     if not balanced_parentheses(__lowercase							):
          raise ValueError("""Mismatched parentheses"""							)
     snake_case :			Stack[str]					   = Stack()
     snake_case :			List[Any]					   = []
     for char in expression_str:
          if char.isalpha() or char.isdigit():
               postfix.append(__lowercase							)
          elif char == "(":
               stack.push(__lowercase							)
          elif char == ")":
               while not stack.is_empty() and stack.peek() != "(":
                    postfix.append(stack.pop()							)
               stack.pop()
          else:
               while not stack.is_empty() and precedence(__lowercase							) <= precedence(stack.peek()							):
                    postfix.append(stack.pop()							)
               stack.push(__lowercase							)
     while not stack.is_empty():
          postfix.append(stack.pop()							)
     return " ".join(__lowercase							)


if __name__ == "__main__":
      from doctest import testmod

      testmod()
      lowercase			:      Tuple			=					"""a+b*(c^d-e)^(f+g*h)-i"""

      print("""Infix to Postfix Notation demonstration:\n""")
      print("""Infix notation: """ + expression)
      print("""Postfix notation: """ + infix_to_postfix(expression))



