




'''simple docstring'''







from ..utils import DummyObject, requires_backends





class   lowerCamelCase_							( metaclass=UpperCAmelCase_							):




					'''simple docstring'''






					lowercase__					=				["""torch""", """librosa"""]






					def __init__(					self,						*__UpperCamelCase,						**__UpperCamelCase				):
							requires_backends(self,						["torch", "librosa"]				)






					@classmethod
					def        __SCREAMING_SNAKE_CASE			(					cls,						*__UpperCamelCase,						**__UpperCamelCase				):
							requires_backends(cls,						["torch", "librosa"]				)






					@classmethod
					def        __SCREAMING_SNAKE_CASE			(					cls,						*__UpperCamelCase,						**__UpperCamelCase				):
							requires_backends(cls,						["torch", "librosa"]				)





class   lowerCamelCase_							( metaclass=UpperCAmelCase_							):




					'''simple docstring'''






					lowercase__					=				["""torch""", """librosa"""]






					def __init__(					self,						*__UpperCamelCase,						**__UpperCamelCase				):
							requires_backends(self,						["torch", "librosa"]				)






					@classmethod
					def        __SCREAMING_SNAKE_CASE			(					cls,						*__UpperCamelCase,						**__UpperCamelCase				):
							requires_backends(cls,						["torch", "librosa"]				)






					@classmethod
					def        __SCREAMING_SNAKE_CASE			(					cls,						*__UpperCamelCase,						**__UpperCamelCase				):
							requires_backends(cls,						["torch", "librosa"]				)











'''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)





