





"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase:	int							      =logging.get_logger(__name__)

lowerCAmelCase:	Dict							      ={
    "mnaylor/mega-base-wikitext": "https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json",
}
class lowerCamelCase__  (    __UpperCamelCase				):
   __UpperCAmelCase        =					"""mega"""



   def __init__(       self      ,   snake_case=3_0_5_2_2      ,   snake_case=1_2_8      ,   snake_case=4      ,   snake_case=2_5_6      ,   snake_case=1_6      ,   snake_case=True      ,   snake_case=6_4      ,   snake_case=False      ,   snake_case=-1      ,   snake_case=None      ,   snake_case=True      ,   snake_case="scalenorm"      ,   snake_case=True      ,   snake_case="silu"      ,   snake_case="softmax"      ,   snake_case=0.1      ,   snake_case=0.1      ,   snake_case=0.1      ,   snake_case=False      ,   snake_case=True      ,   snake_case=2_5_6      ,   snake_case=True      ,   snake_case=0.1      ,   snake_case=2_0_4_8      ,   snake_case=False      ,   snake_case=2      ,   snake_case=0.02      ,   snake_case=0.2      ,   snake_case=0.02      ,   snake_case=1.0      ,   snake_case=1      ,   snake_case=0      ,   snake_case=2      ,   snake_case="rotary"      ,   snake_case=None      ,   snake_case=True      ,   snake_case=True      ,   **snake_case      ,   ) ->    List[str]:







      """simple docstring"""
      super().__init__(pad_token_id=snake_case      ,   bos_token_id=snake_case      ,   eos_token_id=snake_case      ,   **snake_case	)

      lowercase    :			List[str]  =       vocab_size
      lowercase    :			Tuple  =       hidden_size
      lowercase    :			int  =       num_hidden_layers
      lowercase    :			Union[str, Any]  =       activation
      lowercase    :			Optional[Any]  =       attention_activation
      lowercase    :			List[str]  =       intermediate_size
      lowercase    :			Tuple  =       ema_projection_size
      lowercase    :			str  =       bidirectional
      lowercase    :			List[Any]  =       shared_representation_size
      lowercase    :			List[str]  =       use_chunking
      lowercase    :			Any  =       chunk_size
      lowercase    :			List[Any]  =       truncation
      lowercase    :			List[str]  =       normalize_before_mega
      lowercase    :			Tuple  =       normalization_type
      lowercase    :			Optional[Any]  =       norm_affine
      lowercase    :			str  =       dropout_prob
      lowercase    :			Optional[Any]  =       hidden_dropout_prob
      lowercase    :			Any  =       attention_probs_dropout_prob
      lowercase    :			int  =       use_feature_dropout
      lowercase    :			Tuple  =       use_normalized_ffn
      lowercase    :			int  =       nffn_hidden_size
      lowercase    :			Optional[Any]  =       normalize_before_ffn
      lowercase    :			List[Any]  =       nffn_activation_dropout_prob
      lowercase    :			Optional[int]  =       max_positions
      lowercase    :			Union[str, Any]  =       add_token_type_embeddings
      lowercase    :			Union[str, Any]  =       type_vocab_size
      lowercase    :			Optional[int]  =       initializer_range
      lowercase    :			Optional[int]  =       ema_delta_alpha_range
      lowercase    :			int  =       ema_beta_range
      lowercase    :			Union[str, Any]  =       ema_gamma_omega_range
      lowercase    :			int  =       relative_positional_bias
      lowercase    :			Tuple  =       use_cache
      lowercase    :			Tuple  =       classifier_dropout
      lowercase    :			Optional[int]  =       add_lm_hidden_dense_layer
      lowercase    :			Optional[Any]  =       1  # not used but required by Hugging Face




class lowerCamelCase__  (    __UpperCamelCase				):



   @property
   def    _UpperCAmelCase	(       self	) ->    Mapping[str, Mapping[int, str]]:







      """simple docstring"""
      if self.task == "multiple-choice":
         lowercase    :			List[Any]  =       {0: """batch""", 1: """choice""", 2: """sequence"""}
      else:
         lowercase    :			Optional[int]  =       {0: """batch""", 1: """sequence"""}
      return OrderedDict(
          [
              ("""input_ids""", dynamic_axis),
              ("""attention_mask""", dynamic_axis),
          ]	)









"""simple docstring"""
from collections import defaultdict




def 			__snake_case						(      __A    )		->				dict:
   lowercase    :			defaultdict[str, int]  =       defaultdict(__A    )
   # Creating a dictionary containing count of each word
   for word in sentence.split():
      occurrence[word] += 1
   return occurrence


if __name__ == "__main__":
   for word, count in word_occurrence("INPUT STRING").items():
      print(F'{word}: {count}')


