





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

			__lowercase   =							start_index
			while not lines[end_index].startswith(lowerCamelCase_ ):
						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       _lowerCAmelCase  ( lowerCamelCase_	:     List[str] ):
			__lowercase   =							re.finditer('''.+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)'''						,				lowerCamelCase_ )
			return [m.group(0 ) for m in matches]




def       _lowerCAmelCase  ( lowerCamelCase_	:     int						,				lowerCamelCase_	:     Dict ):
			__lowercase   =							2 if text == '''✅''' or text == '''❌''' else len(lowerCamelCase_ )
			__lowercase   =							(width - text_length) // 2
			__lowercase   =							width - text_length - left_indent
			return " " * left_indent + text + " " * right_indent




def       _lowerCAmelCase  ( ):
			__lowercase   =							diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
			__lowercase   =							{
			    name: config_mapping_names[code]
			    for code, name in diffusers_module.MODEL_NAMES_MAPPING.items()
			    if code in config_mapping_names
			}
			__lowercase   =							{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.
			__lowercase   =							collections.defaultdict(lowerCamelCase_ )
			__lowercase   =							collections.defaultdict(lowerCamelCase_ )
			__lowercase   =							collections.defaultdict(lowerCamelCase_ )
			__lowercase   =							collections.defaultdict(lowerCamelCase_ )
			__lowercase   =							collections.defaultdict(lowerCamelCase_ )

			# Let's lookup through all diffusers object (once).
			for attr_name in dir(lowerCamelCase_ ):
						__lowercase   =							None
						if attr_name.endswith('''Tokenizer''' ):
									__lowercase   =							slow_tokenizers
									__lowercase   =							attr_name[:-9]
						elif attr_name.endswith('''TokenizerFast''' ):
									__lowercase   =							fast_tokenizers
									__lowercase   =							attr_name[:-1_3]
						elif _re_tf_models.match(lowerCamelCase_ ) is not None:
									__lowercase   =							tf_models
									__lowercase   =							_re_tf_models.match(lowerCamelCase_ ).groups()[0]
						elif _re_flax_models.match(lowerCamelCase_ ) is not None:
									__lowercase   =							flax_models
									__lowercase   =							_re_flax_models.match(lowerCamelCase_ ).groups()[0]
						elif _re_pt_models.match(lowerCamelCase_ ) is not None:
									__lowercase   =							pt_models
									__lowercase   =							_re_pt_models.match(lowerCamelCase_ ).groups()[0]

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

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

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

			__lowercase   =							{True: '''✅''', False: '''❌'''}
			for name in model_names:
						__lowercase   =							model_name_to_prefix[name]
						__lowercase   =							[
						    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(lowerCamelCase_						,				lowerCamelCase_ ) for l, w in zip(lowerCamelCase_						,				lowerCamelCase_ )] ) + "|\n"
			return table




def       _lowerCAmelCase  ( lowerCamelCase_	:     Tuple=False ):
			__lowercase  ,						__lowercase  ,						__lowercase  ,						__lowercase   =							_find_text_in_file(
			    filename=os.path.join(lowerCamelCase_						,				'''index.mdx''' )						,				start_prompt='''<!--This table is updated automatically from the auto modules'''						,				end_prompt='''<!-- End table-->'''						,				)
			__lowercase   =							get_model_table_from_auto_modules()

			if current_table != new_table:
						if overwrite:
									with open(os.path.join(lowerCamelCase_						,				'''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)












'''simple docstring'''



class 							__lowercase				:







	'''simple docstring'''

	def __init__(self   ,_lowerCamelCase       )							->							Optional[Any]:







				'''simple docstring'''





				__lowercase   =							val
				# Number of nodes in left subtree
				__lowercase   =							0
				__lowercase   =							None
				__lowercase   =							None
				__lowercase   =							None


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Tuple:







				'''simple docstring'''





				assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

				if self.val < other.val:
							__lowercase   =							self.right
							__lowercase   =							None
							if self.right:
										__lowercase   =							other
							__lowercase   =							other
							__lowercase   =							self.left_tree_size * 2 + 1
							return self
				else:
							__lowercase   =							other.right
							__lowercase   =							None
							if other.right:
										__lowercase   =							self
							__lowercase   =							self
							__lowercase   =							other.left_tree_size * 2 + 1
							return other






class 							__lowercase				:







	'''simple docstring'''

	def __init__(self   ,_lowerCamelCase=None   ,_lowerCamelCase=None   ,_lowerCamelCase=0       )							->							int:







				'''simple docstring'''





				__lowercase   =							heap_size
				__lowercase   =							bottom_root
				__lowercase   =							min_node


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Tuple:







				'''simple docstring'''





				if other.size == 0:
							return None
				if self.size == 0:
							__lowercase   =							other.size
							__lowercase   =							other.bottom_root
							__lowercase   =							other.min_node
							return None
				# Update size
				__lowercase   =							self.size + other.size

				# Update min.node
				if self.min_node.val > other.min_node.val:
							__lowercase   =							other.min_node
				# Merge

				# Order roots by left_subtree_size
				__lowercase   =							[]
				__lowercase  ,						__lowercase   =							self.bottom_root, other.bottom_root
				while i or j:
							if i and ((not j) or i.left_tree_size < j.left_tree_size):
										combined_roots_list.append((i, True)       )
										__lowercase   =							i.parent
							else:
										combined_roots_list.append((j, False)       )
										__lowercase   =							j.parent
        # Insert links between them
				for i in range(len(_lowerCamelCase       ) - 1       ):
							if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
										__lowercase   =							combined_roots_list[i + 1][0]
										__lowercase   =							combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
				__lowercase   =							combined_roots_list[0][0]
				while i.parent:
							if (
							    (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
							) or (
							    i.left_tree_size == i.parent.left_tree_size
							    and i.left_tree_size != i.parent.parent.left_tree_size
							):
										# Neighbouring Nodes
										__lowercase   =							i.left
										__lowercase   =							i.parent.parent

										# Merging trees
										__lowercase   =							i.merge_trees(i.parent       )

										# Updating links
										__lowercase   =							previous_node
										__lowercase   =							next_node
										if previous_node:
													__lowercase   =							i
										if next_node:
													__lowercase   =							i
							else:
										__lowercase   =							i.parent
        # Updating self.bottom_root
				while i.left:
							__lowercase   =							i.left
				__lowercase   =							i

				# Update other
				__lowercase   =							self.size
				__lowercase   =							self.bottom_root
				__lowercase   =							self.min_node

				# Return the merged heap
				return self


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Dict:







				'''simple docstring'''





				if self.size == 0:
							__lowercase   =							Node(_lowerCamelCase       )
							__lowercase   =							1
							__lowercase   =							self.bottom_root
				else:
							# Create new node
							__lowercase   =							Node(_lowerCamelCase       )

							# Update size
							self.size += 1

							# update min_node
							if val < self.min_node.val:
										__lowercase   =							new_node
							# Put new_node as a bottom_root in heap
							__lowercase   =							new_node
							__lowercase   =							self.bottom_root
							__lowercase   =							new_node

							# Consecutively merge roots with same left_tree_size
							while (
							    self.bottom_root.parent
							    and self.bottom_root.left_tree_size
							    == self.bottom_root.parent.left_tree_size
							):
										# Next node
										__lowercase   =							self.bottom_root.parent.parent

										# Merge
										__lowercase   =							self.bottom_root.merge_trees(self.bottom_root.parent       )

										# Update Links
										__lowercase   =							next_node
										__lowercase   =							None
										if next_node:
													__lowercase   =							self.bottom_root


	def   _UpperCAmelCase   (self       )							->							Union[str, Any]:







				'''simple docstring'''





				return self.min_node.val


	def   _UpperCAmelCase   (self       )							->							List[Any]:







				'''simple docstring'''





				return self.size == 0


	def   _UpperCAmelCase   (self       )							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase   =							self.min_node.val

				# Last element in heap corner case
				if self.size == 1:
							# Update size
							__lowercase   =							0

							# Update bottom root
							__lowercase   =							None

							# Update min_node
							__lowercase   =							None

							return min_value
				# No right subtree corner case
				# The structure of the tree implies that this should be the bottom root
				# and there is at least one other root
				if self.min_node.right is None:
							# Update size
							self.size -= 1

							# Update bottom root
							__lowercase   =							self.bottom_root.parent
							__lowercase   =							None

							# Update min_node
							__lowercase   =							self.bottom_root
							__lowercase   =							self.bottom_root.parent
							while i:
										if i.val < self.min_node.val:
													__lowercase   =							i
										__lowercase   =							i.parent
							return min_value
				# General case
				# Find the BinomialHeap of the right subtree of min_node
				__lowercase   =							self.min_node.right
				__lowercase   =							None
				__lowercase   =							bottom_of_new
				__lowercase   =							1

				# Size, min_node and bottom_root
				while bottom_of_new.left:
							__lowercase   =							size_of_new * 2 + 1
							__lowercase   =							bottom_of_new.left
							if bottom_of_new.val < min_of_new.val:
										__lowercase   =							bottom_of_new
        # Corner case of single root on top left path
				if (not self.min_node.left) and (not self.min_node.parent):
							__lowercase   =							size_of_new
							__lowercase   =							bottom_of_new
							__lowercase   =							min_of_new
							# print("Single root, multiple nodes case")
							return min_value
				# Remaining cases
				# Construct heap of right subtree
				__lowercase   =							BinomialHeap(
				    bottom_root=_lowerCamelCase   ,min_node=_lowerCamelCase   ,heap_size=_lowerCamelCase       )

				# Update size
				__lowercase   =							self.size - 1 - size_of_new

				# Neighbour nodes
				__lowercase   =							self.min_node.left
				__lowercase   =							self.min_node.parent

				# Initialize new bottom_root and min_node
				__lowercase   =							previous_node or next_node
				__lowercase   =							next_node

				# Update links of previous_node and search below for new min_node and
				# bottom_root
				if previous_node:
							__lowercase   =							next_node

							# Update bottom_root and search for min_node below
							__lowercase   =							previous_node
							__lowercase   =							previous_node
							while self.bottom_root.left:
										__lowercase   =							self.bottom_root.left
										if self.bottom_root.val < self.min_node.val:
													__lowercase   =							self.bottom_root
				if next_node:
							__lowercase   =							previous_node

							# Search for new min_node above min_node
							__lowercase   =							next_node
							while i:
										if i.val < self.min_node.val:
													__lowercase   =							i
										__lowercase   =							i.parent
        # Merge heaps
				self.merge_heaps(_lowerCamelCase       )

				return min_value


	def   _UpperCAmelCase   (self       )							->							str:







				'''simple docstring'''





				__lowercase   =							self.bottom_root
				while top_root.parent:
							__lowercase   =							top_root.parent
				# preorder
				__lowercase   =							[]
				self.__traversal(_lowerCamelCase   ,_lowerCamelCase       )
				return heap_pre_order


	def   _UpperCAmelCase   (self   ,_lowerCamelCase   ,_lowerCamelCase   ,_lowerCamelCase=0       )							->							str:







				'''simple docstring'''





				if curr_node:
							preorder.append((curr_node.val, level)       )
							self.__traversal(curr_node.left   ,_lowerCamelCase   ,level + 1       )
							self.__traversal(curr_node.right   ,_lowerCamelCase   ,level + 1       )
				else:
							preorder.append(('''#''', level)       )


	def __str__(self       )							->							List[str]:







				'''simple docstring'''





				if self.is_empty():
							return ""
				__lowercase   =							self.pre_order()

				return "\n".join(('''-''' * level + str(_lowerCamelCase       )) for value, level in preorder_heap       )


# Unit Tests
if __name__ == "__main__":
	import doctest

	doctest.testmod()





