
"""simple docstring"""







def 			__UpperCAmelCase		(		a_			:		Dict    ,  a_			:		List[str]				)     ->       int:
   _UpperCAmelCase   	=					len(_SCREAMING_SNAKE_CASE				)
   # Create a stack and push index of fist element to it
   _UpperCAmelCase   	=					[]
   st.append(0				)

   # Span value of first element is always 1
   _UpperCAmelCase   	=					1

   # Calculate span values for rest of the elements
   for i in range(1    ,  _SCREAMING_SNAKE_CASE				):
      # Pop elements from stack while stack is not
      # empty and top of stack is smaller than price[i]
      while len(_SCREAMING_SNAKE_CASE				) > 0 and price[st[0]] <= price[i]:
         st.pop()

      # If stack becomes empty, then price[i] is greater
      # than all elements on left of it, i.e. price[0],
      # price[1], ..price[i-1]. Else the price[i]  is
      # greater than elements after top of stack
      _UpperCAmelCase   	=					i + 1 if len(_SCREAMING_SNAKE_CASE				) <= 0 else (i - st[0])

      # Push this element to stack
      st.append(_SCREAMING_SNAKE_CASE				)
def 			__UpperCAmelCase		(		a_			:		Optional[Any]    ,  a_			:		List[str]				)     ->       Tuple:
   for i in range(0    ,  _SCREAMING_SNAKE_CASE				):
      print(arr[i]    ,  end=" "				)


# Driver program to test above function
SCREAMING_SNAKE_CASE_     				=   [10, 4, 5, 90, 120, 80]
SCREAMING_SNAKE_CASE_     				=   [0 for i in range(len(price) + 1)]

# Fill the span values in array S[]
calculation_span(price, S)


print_array(S, len(price))




"""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
SCREAMING_SNAKE_CASE_     				=   'src/diffusers'
SCREAMING_SNAKE_CASE_     				=   'docs/source/en'
SCREAMING_SNAKE_CASE_     				=   '.'
def 			__UpperCAmelCase		(		a_			:		Optional[Any]    ,  a_			:		Any    ,  a_			:		List[Any]				)     ->       Optional[int]:
   with open(a_    ,  "r"    ,  encoding="utf-8"    ,  newline="\n"				) as f:
      _UpperCAmelCase   	=					f.readlines()
   # Find the start prompt.
   _UpperCAmelCase   	=					0
   while not lines[start_index].startswith(a_				):
      start_index += 1
   start_index += 1

   _UpperCAmelCase   	=					start_index
   while not lines[end_index].startswith(a_				):
      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 |
SCREAMING_SNAKE_CASE_     				=   'Model|Encoder|Decoder|ForConditionalGeneration'
# Regexes that match TF/Flax/PT model names.
SCREAMING_SNAKE_CASE_     				=   re.compile(r'TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
SCREAMING_SNAKE_CASE_     				=   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.
SCREAMING_SNAKE_CASE_     				=   re.compile(r'(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')


# This is to make sure the diffusers module imported is the one in the repo.
SCREAMING_SNAKE_CASE_     				=   importlib.util.spec_from_file_location(
    'diffusers',
    os.path.join(TRANSFORMERS_PATH, '__init__.py'),
    submodule_search_locations=[TRANSFORMERS_PATH],
)
SCREAMING_SNAKE_CASE_     				=   spec.loader.load_module()
def 			__UpperCAmelCase		(		a_			:		List[Any]				)     ->       Dict:
   _UpperCAmelCase   	=					re.finditer(".+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)"    ,  a_				)
   return [m.group(0				) for m in matches]
def 			__UpperCAmelCase		(		a_			:		Any    ,  a_			:		List[Any]				)     ->       Optional[int]:
   _UpperCAmelCase   	=					2 if text == "✅" or text == "❌" else len(a_				)
   _UpperCAmelCase   	=					(width - text_length) // 2
   _UpperCAmelCase   	=					width - text_length - left_indent
   return " " * left_indent + text + " " * right_indent
def 			__UpperCAmelCase		(		)     ->       List[Any]:
   _UpperCAmelCase   	=					diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
   _UpperCAmelCase   	=					{
       name: config_mapping_names[code]
       for code, name in diffusers_module.MODEL_NAMES_MAPPING.items()
       if code in config_mapping_names
   }
   _UpperCAmelCase   	=					{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.
   _UpperCAmelCase   	=					collections.defaultdict(a_				)
   _UpperCAmelCase   	=					collections.defaultdict(a_				)
   _UpperCAmelCase   	=					collections.defaultdict(a_				)
   _UpperCAmelCase   	=					collections.defaultdict(a_				)
   _UpperCAmelCase   	=					collections.defaultdict(a_				)

   # Let's lookup through all diffusers object (once).
   for attr_name in dir(a_				):
      _UpperCAmelCase   	=					None
      if attr_name.endswith("Tokenizer"				):
         _UpperCAmelCase   	=					slow_tokenizers
         _UpperCAmelCase   	=					attr_name[:-9]
      elif attr_name.endswith("TokenizerFast"				):
         _UpperCAmelCase   	=					fast_tokenizers
         _UpperCAmelCase   	=					attr_name[:-13]
      elif _re_tf_models.match(a_				) is not None:
         _UpperCAmelCase   	=					tf_models
         _UpperCAmelCase   	=					_re_tf_models.match(a_				).groups()[0]
      elif _re_flax_models.match(a_				) is not None:
         _UpperCAmelCase   	=					flax_models
         _UpperCAmelCase   	=					_re_flax_models.match(a_				).groups()[0]
      elif _re_pt_models.match(a_				) is not None:
         _UpperCAmelCase   	=					pt_models
         _UpperCAmelCase   	=					_re_pt_models.match(a_				).groups()[0]

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

    # Let's build that table!
   _UpperCAmelCase   	=					list(model_name_to_config.keys()				)
   model_names.sort(key=str.lower				)
   _UpperCAmelCase   	=					["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).
   _UpperCAmelCase   	=					[len(a_				) + 2 for c in columns]
   _UpperCAmelCase   	=					max([len(a_				) for name in model_names]				) + 2

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

   _UpperCAmelCase   	=					{True: "✅", False: "❌"}
   for name in model_names:
      _UpperCAmelCase   	=					model_name_to_prefix[name]
      _UpperCAmelCase   	=					[
          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(a_    ,  a_				) for l, w in zip(a_    ,  a_				)]				) + "|\n"
   return table
def 			__UpperCAmelCase		(		a_			:		Union[str, Any]=False				)     ->       int:
   _UpperCAmelCase	,							_UpperCAmelCase	,							_UpperCAmelCase	,							_UpperCAmelCase   	=					_find_text_in_file(
       filename=os.path.join(a_    ,  "index.mdx"				)    ,  start_prompt="<!--This table is updated automatically from the auto modules"    ,  end_prompt="<!-- End table-->"    ,  )
   _UpperCAmelCase   	=					get_model_table_from_auto_modules()

   if current_table != new_table:
      if overwrite:
         with open(os.path.join(a_    ,  "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__":
  SCREAMING_SNAKE_CASE_     				=   argparse.ArgumentParser()
  parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
  SCREAMING_SNAKE_CASE_     				=   parser.parse_args()

  check_model_table(args.fix_and_overwrite)

