


import os
from string import ascii_letters

lowerCamelCase		=						ascii_letters + ''' \t\n'''






def 	lowerCamelCase_       (			):




		"""simple docstring"""






		lowerCAmelCase__  :     Union[str, Any]       	=   os.path.split(os.path.realpath(_a			)			)
		lowerCAmelCase__  :     dict[str, None]       	=   {}
		with open(path[0] + '''/dictionary.txt'''			) as dictionary_file:
				for word in dictionary_file.read().split('''\n'''			):
						lowerCAmelCase__  :     List[str]       	=   None
		return english_words


lowerCamelCase		=						load_dictionary()






def 	lowerCamelCase_       (			_a			):




		"""simple docstring"""






		lowerCAmelCase__  :     List[Any]       	=   message.upper()
		lowerCAmelCase__  :     Dict       	=   remove_non_letters(_a			)
		lowerCAmelCase__  :     Optional[int]       	=   message.split()
		lowerCAmelCase__  :     Optional[Any]       	=   len([word for word in possible_words if word in ENGLISH_WORDS]			)
		return float(_a			) / len(_a			)






def 	lowerCamelCase_       (			_a			):




		"""simple docstring"""






		return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE			)






def 	lowerCamelCase_       (			_a      ,  _a = 20      ,  _a = 85			):




		"""simple docstring"""






		lowerCAmelCase__  :     Tuple       	=   get_english_count(_a			) * 100 >= word_percentage
		lowerCAmelCase__  :     str       	=   len(remove_non_letters(_a			)			)
		lowerCAmelCase__  :     Dict       	=   (float(_a			) / len(_a			)) * 100
		lowerCAmelCase__  :     Optional[int]       	=   message_letters_percentage >= letter_percentage
		return words_match and letters_match


if __name__ == "__main__":
		import doctest

		doctest.testmod()








from .chunk_utils import chunk_layer
from .data_transforms import make_atomaa_masks
from .feats import atomaa_to_atomaa, frames_and_literature_positions_to_atomaa_pos, torsion_angles_to_frames
from .loss import compute_predicted_aligned_error, compute_tm
from .protein import Protein as OFProtein
from .protein import to_pdb
from .rigid_utils import Rigid, Rotation
from .tensor_utils import dict_multimap, flatten_final_dims, permute_final_dims




