



"""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
__UpperCAmelCase      :      Any   					=					'src/diffusers'
__UpperCAmelCase      :      Optional[Any]   					=					'docs/source/en'
__UpperCAmelCase      :      Any   					=					'.'
def      A      (			_A,     _A,     _A							):




					"""simple docstring"""
					with open(_A,     "r",     encoding="utf-8",     newline="\n"							) as f:
										snake_case_						:str								=						f.readlines()
					# Find the start prompt.
					snake_case_						:Optional[Any]								=						0
					while not lines[start_index].startswith(_A							):
										start_index += 1
					start_index += 1

					snake_case_						:Tuple								=						start_index
					while not lines[end_index].startswith(_A							):
										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 |
__UpperCAmelCase      :      Optional[Any]   					=					'Model|Encoder|Decoder|ForConditionalGeneration'
# Regexes that match TF/Flax/PT model names.
__UpperCAmelCase      :      List[str]   					=					re.compile(r'TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
__UpperCAmelCase      :      List[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.
__UpperCAmelCase      :      Tuple   					=					re.compile(r'(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')


# This is to make sure the diffusers module imported is the one in the repo.
__UpperCAmelCase      :      Any   					=					importlib.util.spec_from_file_location(
    'diffusers',
    os.path.join(TRANSFORMERS_PATH, '__init__.py'),
    submodule_search_locations=[TRANSFORMERS_PATH],
)
__UpperCAmelCase      :      Tuple   					=					spec.loader.load_module()
def      A      (			_A							):




					"""simple docstring"""
					snake_case_						:Optional[Any]								=						re.finditer(".+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)",     _A							)
					return [m.group(0							) for m in matches]
def      A      (			_A,     _A							):




					"""simple docstring"""
					snake_case_						:int								=						2 if text == "✅" or text == "❌" else len(_A							)
					snake_case_						:Optional[int]								=						(width - text_length) // 2
					snake_case_						:str								=						width - text_length - left_indent
					return " " * left_indent + text + " " * right_indent
def      A      (			):




					"""simple docstring"""
					snake_case_						:Optional[int]								=						diffusers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
					snake_case_						:Any								=						{
					    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_						:int								=						collections.defaultdict(_A							)
					snake_case_						:Optional[Any]								=						collections.defaultdict(_A							)
					snake_case_						:int								=						collections.defaultdict(_A							)
					snake_case_						:str								=						collections.defaultdict(_A							)
					snake_case_						:Any								=						collections.defaultdict(_A							)

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

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

    # Let's build that table!
					snake_case_						:int								=						list(model_name_to_config.keys()							)
					model_names.sort(key=str.lower							)
					snake_case_						:Tuple								=						["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_						:str								=						[len(_A							) + 2 for c in columns]
					snake_case_						:Optional[int]								=						max([len(_A							) for name in model_names]							) + 2

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

					snake_case_						:List[Any]								=						{True: "✅", False: "❌"}
					for name in model_names:
										snake_case_						:List[str]								=						model_name_to_prefix[name]
										snake_case_						:List[Any]								=						[
										    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(_A,     _A							) for l, w in zip(_A,     _A							)]							) + "|\n"
					return table
def      A      (			_A=False							):




					"""simple docstring"""
					snake_case_	,  snake_case_	,  snake_case_	,  snake_case_						:str								=						_find_text_in_file(
					    filename=os.path.join(_A,     "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(_A,     "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__":
				__UpperCAmelCase      :      str   					=					argparse.ArgumentParser()
				parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
				__UpperCAmelCase      :      Any   					=					parser.parse_args()

				check_model_table(args.fix_and_overwrite)






"""simple docstring"""






def      A      (			_A,     _A							):




					"""simple docstring"""
					if n == 0:
										return 1

					elif n % 2 == 1:
										return binary_exponentiation(_A,     n - 1							) * a

					else:
										snake_case_						:Optional[int]								=						binary_exponentiation(_A,     n / 2							)
										return b * b


if __name__ == "__main__":
				try:
								__UpperCAmelCase      :      str   					=					int(input('Enter Base : ').strip())
								__UpperCAmelCase      :      Any   					=					int(input('Enter Power : ').strip())
				except ValueError:
								print('Invalid literal for integer')

				__UpperCAmelCase      :      Optional[int]   					=					binary_exponentiation(BASE, POWER)
				print(F'''{BASE}^({POWER}) : {RESULT}''')

