



"""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
snake_case_         = """src/diffusers"""
snake_case_         = """docs/source/en"""
snake_case_         = """."""

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

						UpperCAmelCase    =				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 |
snake_case_         = """Model|Encoder|Decoder|ForConditionalGeneration"""
# Regexes that match TF/Flax/PT model names.
snake_case_         = re.compile(R"""TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")
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.
snake_case_         = re.compile(R"""(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")


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

def 				_lowerCAmelCase   (     lowercase_		):
						UpperCAmelCase    =				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_		):
						UpperCAmelCase    =				2 if text == '✅' or text == '❌' else len(lowercase_		)
						UpperCAmelCase    =				(width - text_length) // 2
						UpperCAmelCase    =				width - text_length - left_indent
						return " " * left_indent + text + " " * right_indent

def 				_lowerCAmelCase   (     ):
						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(lowercase_		)
						UpperCAmelCase    =				collections.defaultdict(lowercase_		)
						UpperCAmelCase    =				collections.defaultdict(lowercase_		)
						UpperCAmelCase    =				collections.defaultdict(lowercase_		)
						UpperCAmelCase    =				collections.defaultdict(lowercase_		)

						# Let's lookup through all diffusers object (once).
						for attr_name in dir(lowercase_		):
												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(lowercase_		) is not None:
																		UpperCAmelCase    =				tf_models
																		UpperCAmelCase    =				_re_tf_models.match(lowercase_		).groups()[0]
												elif _re_flax_models.match(lowercase_		) is not None:
																		UpperCAmelCase    =				flax_models
																		UpperCAmelCase    =				_re_flax_models.match(lowercase_		).groups()[0]
												elif _re_pt_models.match(lowercase_		) is not None:
																		UpperCAmelCase    =				pt_models
																		UpperCAmelCase    =				_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():
																														UpperCAmelCase    =				True
																														break
																								# Try again after removing the last word in the name
																								UpperCAmelCase    =				''.join(camel_case_split(lowercase_		)[:-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(lowercase_		) + 2 for c in columns]
						UpperCAmelCase    =				max([len(lowercase_		) for name in model_names]		) + 2

						# Build the table per se
						UpperCAmelCase    =				'|' + '|'.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"

						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(lowercase_	,			lowercase_		) for l, w in zip(lowercase_	,			lowercase_		)]		) + "|\n"
						return table

def 				_lowerCAmelCase   (     lowercase_=False		):
						UpperCAmelCase   ,					UpperCAmelCase   ,					UpperCAmelCase   ,					UpperCAmelCase    =				_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-->'	,			)
						UpperCAmelCase    =				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__":
				snake_case_         = argparse.ArgumentParser()
				parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
				snake_case_         = parser.parse_args()

				check_model_table(args.fix_and_overwrite)










"""simple docstring"""


from __future__ import annotations

import random
from collections.abc import Iterable
from typing import Any, Generic, TypeVar

snake_case_         = TypeVar("""T""", bound=bool)







class    A_    (  Generic[T]       ):



						"""simple docstring"""






						def __init__(      self				:str     ,						lowercase_				:T      )       ->    None:
												UpperCAmelCase    =				value
												UpperCAmelCase    =				None
												UpperCAmelCase    =				None






						@property
						def 			UpperCAmelCase__  (      self				:Any      )       ->    T:
												return self._value






						@staticmethod
						def 			UpperCAmelCase__  (      lowercase_				:RandomizedHeapNode[T] | None     ,						lowercase_				:RandomizedHeapNode[T] | None      )       ->    RandomizedHeapNode[T] | None:
												if not roota:
																		return roota

												if not roota:
																		return roota

												if roota.value > roota.value:
																		UpperCAmelCase   ,					UpperCAmelCase    =				roota, roota

												if random.choice([True, False]      ):
																		UpperCAmelCase   ,					UpperCAmelCase    =				roota.right, roota.left

												UpperCAmelCase    =				RandomizedHeapNode.merge(roota.left     ,						lowercase_      )

												return roota







class    A_    (  Generic[T]       ):



						"""simple docstring"""






						def __init__(      self				:Optional[Any]     ,						lowercase_				:Iterable[T] | None = ()      )       ->    None:
												UpperCAmelCase    =				None

												if data:
																		for item in data:
																								self.insert(lowercase_      )






						def 			UpperCAmelCase__  (      self				:Dict     ,						lowercase_				:T      )       ->    None:
												UpperCAmelCase    =				RandomizedHeapNode.merge(self._root     ,						RandomizedHeapNode(lowercase_      )      )






						def 			UpperCAmelCase__  (      self				:Dict      )       ->    T | None:
												UpperCAmelCase    =				self.top()

												if self._root is None:
																		return None

												UpperCAmelCase    =				RandomizedHeapNode.merge(self._root.left     ,						self._root.right      )

												return result






						def 			UpperCAmelCase__  (      self				:Tuple      )       ->    T:
												if not self._root:
																		raise IndexError('Can\'t get top element for the empty heap.'      )
												return self._root.value






						def 			UpperCAmelCase__  (      self				:Dict      )       ->    None:
												UpperCAmelCase    =				None






						def 			UpperCAmelCase__  (      self				:Union[str, Any]      )       ->    list[Any]:
												UpperCAmelCase    =				[]
												while self:
																		result.append(self.pop()      )

												return result






						def __bool__(      self				:Optional[Any]      )       ->    bool:
												return self._root is not None


if __name__ == "__main__":
				import doctest

				doctest.testmod()





