
'''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
lowercase__		    =	"src/diffusers"
lowercase__		    =	"docs/source/en"
lowercase__		    =	"."




def 					_UpperCamelCase		(    SCREAMING_SNAKE_CASE__      ,    SCREAMING_SNAKE_CASE__      ,    SCREAMING_SNAKE_CASE__       )   ->				Optional[Any]:


		'''simple docstring'''


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

		snake_case   :    Optional[int]			       =		start_index
		while not lines[end_index].startswith(SCREAMING_SNAKE_CASE__       ):
				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 |
lowercase__		    =	"Model|Encoder|Decoder|ForConditionalGeneration"
# Regexes that match TF/Flax/PT model names.
lowercase__		    =	re.compile(R"TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)")
lowercase__		    =	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.
lowercase__		    =	re.compile(R"(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)")


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




def 					_UpperCamelCase		(    SCREAMING_SNAKE_CASE__       )   ->				Any:


		'''simple docstring'''


		snake_case   :    Union[str, Any]			       =		re.finditer('''.+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)'''      ,    SCREAMING_SNAKE_CASE__       )
		return [m.group(0       ) for m in matches]




def 					_UpperCamelCase		(    SCREAMING_SNAKE_CASE__      ,    SCREAMING_SNAKE_CASE__       )   ->				Tuple:


		'''simple docstring'''


		snake_case   :    List[Any]			       =		2 if text == '''✅''' or text == '''❌''' else len(SCREAMING_SNAKE_CASE__       )
		snake_case   :    List[str]			       =		(width - text_length) // 2
		snake_case   :    int			       =		width - text_length - left_indent
		return " " * left_indent + text + " " * right_indent




def 					_UpperCamelCase		(    )   ->				List[Any]:


		'''simple docstring'''


		snake_case   :    Tuple			       =		diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
		snake_case   :    str			       =		{
		    name: config_mapping_names[code]
		    for code, name in diffusers_module.MODEL_NAMES_MAPPING.items()
		    if code in config_mapping_names
		}
		snake_case   :    List[str]			       =		{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   :    Tuple			       =		collections.defaultdict(SCREAMING_SNAKE_CASE__       )
		snake_case   :    int			       =		collections.defaultdict(SCREAMING_SNAKE_CASE__       )
		snake_case   :    List[str]			       =		collections.defaultdict(SCREAMING_SNAKE_CASE__       )
		snake_case   :    str			       =		collections.defaultdict(SCREAMING_SNAKE_CASE__       )
		snake_case   :    List[Any]			       =		collections.defaultdict(SCREAMING_SNAKE_CASE__       )

		# Let's lookup through all diffusers object (once).
		for attr_name in dir(SCREAMING_SNAKE_CASE__       ):
				snake_case   :    Optional[int]			       =		None
				if attr_name.endswith('''Tokenizer'''       ):
						snake_case   :    Union[str, Any]			       =		slow_tokenizers
						snake_case   :    List[str]			       =		attr_name[:-9]
				elif attr_name.endswith('''TokenizerFast'''       ):
						snake_case   :    Optional[int]			       =		fast_tokenizers
						snake_case   :    Tuple			       =		attr_name[:-13]
				elif _re_tf_models.match(SCREAMING_SNAKE_CASE__       ) is not None:
						snake_case   :    List[Any]			       =		tf_models
						snake_case   :    int			       =		_re_tf_models.match(SCREAMING_SNAKE_CASE__       ).groups()[0]
				elif _re_flax_models.match(SCREAMING_SNAKE_CASE__       ) is not None:
						snake_case   :    Optional[int]			       =		flax_models
						snake_case   :    List[Any]			       =		_re_flax_models.match(SCREAMING_SNAKE_CASE__       ).groups()[0]
				elif _re_pt_models.match(SCREAMING_SNAKE_CASE__       ) is not None:
						snake_case   :    List[str]			       =		pt_models
						snake_case   :    List[Any]			       =		_re_pt_models.match(SCREAMING_SNAKE_CASE__       ).groups()[0]

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

    # Let's build that table!
		snake_case   :    List[str]			       =		list(model_name_to_config.keys()       )
		model_names.sort(key=str.lower       )
		snake_case   :    int			       =		['''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   :    List[Any]			       =		[len(SCREAMING_SNAKE_CASE__       ) + 2 for c in columns]
		snake_case   :    List[str]			       =		max([len(SCREAMING_SNAKE_CASE__       ) for name in model_names]       ) + 2

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

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




def 					_UpperCamelCase		(    SCREAMING_SNAKE_CASE__=False       )   ->				Union[str, Any]:


		'''simple docstring'''


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

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

						check_model_table(args.fix_and_overwrite)




"""simple docstring"""


def     _lowerCamelCase(__UpperCamelCase       )				-> list:
	_lowerCAmelCase								=[True for i in range(n + 1       )]
	_lowerCAmelCase								=[i - 1 for i in range(n + 1       )]
	_lowerCAmelCase								=[]
	for i in range(2    , n + 1       ):
		if is_prime[i]:
			primes.append(__UpperCamelCase       )
		for j in range(0    , len(__UpperCamelCase       )       ):
			if i * primes[j] >= n:
				break
			_lowerCAmelCase								=False

			if i % primes[j] == 0:
				_lowerCAmelCase								=totients[i] * primes[j]
				break

			_lowerCAmelCase								=totients[i] * (primes[j] - 1)

	return totients


if __name__ == "__main__":
			import doctest

			doctest.testmod()



