
"""simple docstring"""





import string
from math import logaa







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					Optional[Any]			     =    document.translate(
       str.maketrans("",		"",		string.punctuation  )  ).replace("\n",		""  )
   UpperCAmelCase_					:					str			     =    document_without_punctuation.split(" "  )  # word tokenization
   return len([word for word in tokenize_document if word.lower() == term.lower()]  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_					:					List[Any]			     =    corpus.lower().translate(
       str.maketrans("",		"",		string.punctuation  )  )  # strip all punctuation and replace it with ''
   UpperCAmelCase_					:					str			     =    corpus_without_punctuation.split("\n"  )
   UpperCAmelCase_					:					Union[str, Any]			     =    term.lower()
   return (len([doc for doc in docs if term in doc]  ), len(__lowerCamelCase  ))







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase=False  ):
   if smoothing:
      if n == 0:
         raise ValueError("log10(0) is undefined."  )
      return round(1 + logaa(n / (1 + df)  ),		3  )

   if df == 0:
      raise ZeroDivisionError("df must be > 0"  )
   elif n == 0:
      raise ValueError("log10(0) is undefined."  )
   return round(logaa(n / df  ),		3  )







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   return round(tf * idf,		3  )








"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__     						=						{"""configuration_vit_msn""": ["""VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTMSNConfig"""]}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase__     						=						[
			    """VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST""",
			    """ViTMSNModel""",
			    """ViTMSNForImageClassification""",
			    """ViTMSNPreTrainedModel""",
			]

if TYPE_CHECKING:
			from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_vit_msn import (
						    VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ViTMSNForImageClassification,
						    ViTMSNModel,
						    ViTMSNPreTrainedModel,
						)

else:
			import sys

			lowercase__     						=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)