



from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCamelCase								=      logging.get_logger(__name__)

__lowerCamelCase								=      {
    '''openbmb/cpm-ant-10b''': '''https://huggingface.co/openbmb/cpm-ant-10b/blob/main/config.json'''
    # See all CPMAnt models at https://huggingface.co/models?filter=cpmant
}


class 	snake_case_			(SCREAMING_SNAKE_CASE__	):




       """simple docstring"""






       _lowerCamelCase           =					"""cpmant"""



       def __init__(  self  ,lowercase = 30720  ,lowercase = 4096  ,lowercase = 32  ,lowercase = 128  ,lowercase = 10240  ,lowercase = 48  ,lowercase = 0.0  ,lowercase = 512  ,lowercase = 2048  ,lowercase = 1E-6  ,lowercase = 1.0  ,lowercase = 32  ,lowercase = 32  ,lowercase = 32  ,lowercase = True  ,**lowercase  ,):

             """simple docstring"""





             super().__init__(**_UpperCAmelCase)
             UpperCAmelCase_	:						int					   =		prompt_types
             UpperCAmelCase_	:						Any					   =		prompt_length
             UpperCAmelCase_	:						Optional[Any]					   =		segment_types
             UpperCAmelCase_	:						Dict					   =		hidden_size
             UpperCAmelCase_	:						Optional[int]					   =		num_attention_heads
             UpperCAmelCase_	:						Optional[int]					   =		dim_head
             UpperCAmelCase_	:						Tuple					   =		dim_ff
             UpperCAmelCase_	:						List[Any]					   =		num_hidden_layers
             UpperCAmelCase_	:						Dict					   =		position_bias_num_buckets
             UpperCAmelCase_	:						Any					   =		position_bias_max_distance
             UpperCAmelCase_	:						Optional[int]					   =		dropout_p
             UpperCAmelCase_	:						Dict					   =		eps
             UpperCAmelCase_	:						Optional[Any]					   =		use_cache
             UpperCAmelCase_	:						Dict					   =		vocab_size
             UpperCAmelCase_	:						List[str]					   =		init_std






'''simple docstring'''






def      __lowerCAmelCase   (       snake_case__		):
			__UpperCamelCase :     int										=  word.upper()
			__UpperCamelCase :     List[str]										=  0
			__UpperCamelCase :     int										=  {}
			__UpperCamelCase :     Tuple										=  []

			for letter in word:
						if letter not in letter_nums:
									__UpperCamelCase :     Tuple										=  str(snake_case__		)
									next_num += 1
						word_pattern.append(letter_nums[letter]		)
			return ".".join(snake_case__		)


if __name__ == "__main__":
				import pprint
				import time

				_lowerCAmelCase       =   time.time()
				with open('''dictionary.txt''') as in_file:
								_lowerCAmelCase       =   in_file.read().splitlines()

				_lowerCAmelCase       =   {}
				for word in word_list:
								_lowerCAmelCase       =   get_word_pattern(word)
								if pattern in all_patterns:
												all_patterns[pattern].append(word)
								else:
												_lowerCAmelCase       =   [word]

				with open('''word_patterns.txt''', '''w''') as out_file:
								out_file.write(pprint.pformat(all_patterns))

				_lowerCAmelCase       =   round(time.time() - start_time, 2)
				print(f'Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.')
				# Done!  9,581 word patterns found in 0.58 seconds.



