code: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  
  
  from __future__ import annotations
  
  from abc import abstractmethod
  from collections.abc import Iterable
  from typing import Generic, Protocol, TypeVar
  
  
  
  
  
  class   lowerCamelCase_							( UpperCAmelCase_							):
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  					@abstractmethod
  					def __lt__(					self,						__UpperCamelCase				):
  							pass
  
  
  
  
  
  
  					@abstractmethod
  					def __gt__(					self,						__UpperCamelCase				):
  							pass
  
  
  
  
  
  
  					@abstractmethod
  					def __eq__(					self,						__UpperCamelCase				):
  							pass
  
  
  
  
  _lowerCamelCase							:		Tuple										=						TypeVar('T', bound=Comparable)
  
  
  
  
  
  class   lowerCamelCase_							( Generic[T]							):
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  					def __init__(					self				):
  							_snake_case			 = []
  							_snake_case			 = 0
  
  
  
  
  
  
  					def __repr__(					self				):
  							return str(self.h				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
  							if child_idx > 0:
  									return (child_idx - 1) // 2
  							return None
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
  							_snake_case			 = 2 * parent_idx + 1
  							if left_child_index < self.heap_size:
  									return left_child_index
  							return None
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
  							_snake_case			 = 2 * parent_idx + 2
  							if right_child_index < self.heap_size:
  									return right_child_index
  							return None
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
  							if index < self.heap_size:
  									_snake_case			 = index
  									_snake_case			 = self.left_child_idx(__UpperCamelCase				)
  									_snake_case			 = self.right_child_idx(__UpperCamelCase				)
  									# check which child is larger than its parent
  									if left_child is not None and self.h[left_child] > self.h[violation]:
  											_snake_case			 = left_child
  									if right_child is not None and self.h[right_child] > self.h[violation]:
  											_snake_case			 = right_child
  									# if violation indeed exists
  									if violation != index:
  											# swap to fix the violation
  											_snake_case ,					_snake_case			 = self.h[index], self.h[violation]
  											# fix the subsequent violation recursively if any
  											self.max_heapify(__UpperCamelCase				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
  							_snake_case			 = list(__UpperCamelCase				)
  							_snake_case			 = len(self.h				)
  							if self.heap_size > 1:
  									# max_heapify from right to left but exclude leaves (last level)
  									for i in range(self.heap_size // 2 - 1,						-1,						-1				):
  											self.max_heapify(__UpperCamelCase				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self				):
  							if self.heap_size >= 2:
  									_snake_case			 = self.h[0]
  									_snake_case			 = self.h.pop(-1				)
  									self.heap_size -= 1
  									self.max_heapify(0				)
  									return me
  							elif self.heap_size == 1:
  									self.heap_size -= 1
  									return self.h.pop(-1				)
  							else:
  									raise Exception("Empty heap"				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self,						__UpperCamelCase				):
  							self.h.append(__UpperCamelCase				)
  							_snake_case			 = (self.heap_size - 1) // 2
  							self.heap_size += 1
  							while idx >= 0:
  									self.max_heapify(__UpperCamelCase				)
  									_snake_case			 = (idx - 1) // 2
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self				):
  							_snake_case			 = self.heap_size
  							for j in range(size - 1,						0,						-1				):
  									_snake_case ,					_snake_case			 = self.h[j], self.h[0]
  									self.heap_size -= 1
  									self.max_heapify(0				)
  							_snake_case			 = size
  
  
  if __name__ == "__main__":
  						import doctest
  
  						# run doc test
  						doctest.testmod()
  
  						# demo
  						for unsorted in [
  						    [0],
  						    [2],
  						    [3, 5],
  						    [5, 3],
  						    [5, 5],
  						    [0, 0, 0, 0],
  						    [1, 1, 1, 1],
  						    [2, 2, 3, 5],
  						    [0, 2, 2, 3, 5],
  						    [2, 5, 3, 0, 2, 3, 0, 3],
  						    [6, 1, 2, 7, 9, 3, 4, 5, 10, 8],
  						    [103, 9, 1, 7, 11, 15, 25, 201, 209, 107, 5],
  						    [-45, -2, -5],
  						]:
  												print(F'''unsorted array: {unsorted}''')
  
  												_lowerCamelCase							:		Heap[int]										=						Heap()
  												heap.build_max_heap(unsorted)
  												print(F'''after build heap: {heap}''')
  
  												print(F'''max value: {heap.extract_max()}''')
  												print(F'''after max value removed: {heap}''')
  
  												heap.insert(100)
  												print(F'''after new value 100 inserted: {heap}''')
  
  												heap.heap_sort()
  												print(F'''heap-sorted array: {heap}\n''')
  
  
  
  
  
  
style_context: 
  
  
  
  
  '''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
  _lowerCamelCase							:		Any										=						'src/diffusers'
  _lowerCamelCase							:		Any										=						'docs/source/en'
  _lowerCamelCase							:		int										=						'.'
  
  
  
  
  
  
  def 	_lowercase	(			lowercase_		,							lowercase_		,							lowercase_						):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		with open(lowercase_		,							"r"		,							encoding="utf-8"		,							newline="\n"						) as f:
  				_snake_case			 = f.readlines()
  		# Find the start prompt.
  		_snake_case			 = 0
  		while not lines[start_index].startswith(lowercase_						):
  				start_index += 1
  		start_index += 1
  
  		_snake_case			 = 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 |
  _lowerCamelCase							:		List[Any]										=						'Model|Encoder|Decoder|ForConditionalGeneration'
  # Regexes that match TF/Flax/PT model names.
  _lowerCamelCase							:		List[Any]										=						re.compile(R'TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
  _lowerCamelCase							:		Any										=						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.
  _lowerCamelCase							:		Optional[int]										=						re.compile(R'(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
  
  
  # This is to make sure the diffusers module imported is the one in the repo.
  _lowerCamelCase							:		Union[str, Any]										=						importlib.util.spec_from_file_location(
      'diffusers',
      os.path.join(TRANSFORMERS_PATH, '__init__.py'),
      submodule_search_locations=[TRANSFORMERS_PATH],
  )
  _lowerCamelCase							:		Optional[int]										=						spec.loader.load_module()
  
  
  
  
  
  
  def 	_lowercase	(			lowercase_						):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		_snake_case			 = re.finditer(".+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)"		,							lowercase_						)
  		return [m.group(0						) for m in matches]
  
  
  
  
  
  
  def 	_lowercase	(			lowercase_		,							lowercase_						):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		_snake_case			 = 2 if text == "✅" or text == "❌" else len(lowercase_						)
  		_snake_case			 = (width - text_length) // 2
  		_snake_case			 = width - text_length - left_indent
  		return " " * left_indent + text + " " * right_indent
  
  
  
  
  
  
  def 	_lowercase	(			):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		_snake_case			 = diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
  		_snake_case			 = {
  		    name: config_mapping_names[code]
  		    for code, name in diffusers_module.MODEL_NAMES_MAPPING.items()
  		    if code in config_mapping_names
  		}
  		_snake_case			 = {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			 = collections.defaultdict(lowercase_						)
  		_snake_case			 = collections.defaultdict(lowercase_						)
  		_snake_case			 = collections.defaultdict(lowercase_						)
  		_snake_case			 = collections.defaultdict(lowercase_						)
  		_snake_case			 = collections.defaultdict(lowercase_						)
  
  		# Let's lookup through all diffusers object (once).
  		for attr_name in dir(lowercase_						):
  				_snake_case			 = None
  				if attr_name.endswith("Tokenizer"						):
  						_snake_case			 = slow_tokenizers
  						_snake_case			 = attr_name[:-9]
  				elif attr_name.endswith("TokenizerFast"						):
  						_snake_case			 = fast_tokenizers
  						_snake_case			 = attr_name[:-13]
  				elif _re_tf_models.match(lowercase_						) is not None:
  						_snake_case			 = tf_models
  						_snake_case			 = _re_tf_models.match(lowercase_						).groups()[0]
  				elif _re_flax_models.match(lowercase_						) is not None:
  						_snake_case			 = flax_models
  						_snake_case			 = _re_flax_models.match(lowercase_						).groups()[0]
  				elif _re_pt_models.match(lowercase_						) is not None:
  						_snake_case			 = pt_models
  						_snake_case			 = _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			 = True
  										break
  								# Try again after removing the last word in the name
  								_snake_case			 = "".join(camel_case_split(lowercase_						)[:-1]						)
  
      # Let's build that table!
  		_snake_case			 = list(model_name_to_config.keys()						)
  		model_names.sort(key=str.lower						)
  		_snake_case			 = ["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			 = [len(lowercase_						) + 2 for c in columns]
  		_snake_case			 = max([len(lowercase_						) for name in model_names]						) + 2
  
  		# Build the table per se
  		_snake_case			 = "|" + "|".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			 = {True: "✅", False: "❌"}
  		for name in model_names:
  				_snake_case			 = model_name_to_prefix[name]
  				_snake_case			 = [
  				    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 	_lowercase	(			lowercase_=False						):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		_snake_case ,					_snake_case ,					_snake_case ,					_snake_case			 = _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			 = 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__":
  						_lowerCamelCase							:		Dict										=						argparse.ArgumentParser()
  						parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
  						_lowerCamelCase							:		Dict										=						parser.parse_args()
  
  						check_model_table(args.fix_and_overwrite)
  
  
  
  
  
  