


import os

snake_case				:    Dict       				=     {'''I''': 1, '''V''': 5, '''X''': 10, '''L''': 50, '''C''': 1_00, '''D''': 5_00, '''M''': 10_00}
def 				__lowerCamelCase						( UpperCAmelCase_						:		str						):




      """simple docstring"""





      a						:List[Any] 							=       0

      a						:Optional[Any] 							=       0
      while index < len(UpperCAmelCase_						) - 1:
            a						:List[str] 							=       SYMBOLS[numerals[index]]
            a						:Union[str, Any] 							=       SYMBOLS[numerals[index + 1]]
            if current_value < next_value:
                  total_value -= current_value
            else:
                  total_value += current_value
            index += 1
      total_value += SYMBOLS[numerals[index]]

      return total_value
def 				__lowerCamelCase						( UpperCAmelCase_						:		int						):




      """simple docstring"""





      a						:Any 							=       ''''''

      a						:List[str] 							=       num // 1000
      numerals += m_count * "M"
      num %= 1000

      a						:str 							=       num // 100
      if c_count == 9:
            numerals += "CM"
            c_count -= 9
      elif c_count == 4:
            numerals += "CD"
            c_count -= 4
      if c_count >= 5:
            numerals += "D"
            c_count -= 5
      numerals += c_count * "C"
      num %= 100

      a						:int 							=       num // 10
      if x_count == 9:
            numerals += "XC"
            x_count -= 9
      elif x_count == 4:
            numerals += "XL"
            x_count -= 4
      if x_count >= 5:
            numerals += "L"
            x_count -= 5
      numerals += x_count * "X"
      num %= 10

      if num == 9:
            numerals += "IX"
            num -= 9
      elif num == 4:
            numerals += "IV"
            num -= 4
      if num >= 5:
            numerals += "V"
            num -= 5
      numerals += num * "I"

      return numerals
def 				__lowerCamelCase						( UpperCAmelCase_						:		str = "/p089_roman.txt"						):




      """simple docstring"""





      a						:Union[str, Any] 							=       0

      with open(os.path.dirname(UpperCAmelCase_						) + roman_numerals_filename						) as filea:
            a						:Optional[int] 							=       filea.readlines()

      for line in lines:
            a						:int 							=       line.strip()
            a						:Union[str, Any] 							=       parse_roman_numerals(UpperCAmelCase_						)
            a						:Optional[Any] 							=       generate_roman_numerals(UpperCAmelCase_						)
            savings += len(UpperCAmelCase_						) - len(UpperCAmelCase_						)

      return savings


if __name__ == "__main__":
     print(F"""{solution() = }""")










'''simple docstring'''


from io import BytesIO
from typing import List, Union

import requests

from ..utils import add_end_docstrings, is_decord_available, is_torch_available, logging, requires_backends
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_decord_available():
   import numpy as np
   from decord import VideoReader


if is_torch_available():
   from ..models.auto.modeling_auto import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING

_lowerCamelCase	:       Any      	=	logging.get_logger(__name__)

@add_end_docstrings(_a		)
class  SCREAMING_SNAKE_CASE (  _a		):






    """simple docstring"""





    def __init__(  self      :					Any  ,						*UpperCamelCase__      :					Dict  ,						**UpperCamelCase__      :					Union[str, Any] ):


       """simple docstring"""







       super().__init__(*UpperCamelCase__  ,						**UpperCamelCase__ )
       requires_backends(self  ,						'decord' )
       self.check_model_type(UpperCamelCase__ )






    def  A       (  self      :					Optional[int]  ,						UpperCamelCase__      :					Optional[int]=None  ,						UpperCamelCase__      :					Optional[Any]=None  ,						UpperCamelCase__      :					Optional[Any]=None ):


       """simple docstring"""







       UpperCamelCase					=  {}
       if frame_sampling_rate is not None:
          UpperCamelCase					=  frame_sampling_rate
       if num_frames is not None:
          UpperCamelCase					=  num_frames

       UpperCamelCase					=  {}
       if top_k is not None:
          UpperCamelCase					=  top_k
       return preprocess_params, {}, postprocess_params






    def __call__(  self      :					List[str]  ,						UpperCamelCase__      :					Union[str, List[str]]  ,						**UpperCamelCase__      :					Dict ):


       """simple docstring"""







       return super().__call__(UpperCamelCase__  ,						**UpperCamelCase__ )






    def  A       (  self      :					Tuple  ,						UpperCamelCase__      :					Union[str, Any]  ,						UpperCamelCase__      :					Tuple=None  ,						UpperCamelCase__      :					Tuple=1 ):


       """simple docstring"""







       if num_frames is None:
          UpperCamelCase					=  self.model.config.num_frames

       if video.startswith('http://' ) or video.startswith('https://' ):
          UpperCamelCase					=  BytesIO(requests.get(UpperCamelCase__ ).content )

       UpperCamelCase					=  VideoReader(UpperCamelCase__ )
       videoreader.seek(0 )

       UpperCamelCase					=  0
       UpperCamelCase					=  num_frames * frame_sampling_rate - 1
       UpperCamelCase					=  np.linspace(UpperCamelCase__  ,						UpperCamelCase__  ,						num=UpperCamelCase__  ,						dtype=np.intaa )

       UpperCamelCase					=  videoreader.get_batch(UpperCamelCase__ ).asnumpy()
       UpperCamelCase					=  list(UpperCamelCase__ )

       UpperCamelCase					=  self.image_processor(UpperCamelCase__  ,						return_tensors=self.framework )
       return model_inputs






    def  A       (  self      :					Union[str, Any]  ,						UpperCamelCase__      :					List[str] ):


       """simple docstring"""







       UpperCamelCase					=  self.model(**UpperCamelCase__ )
       return model_outputs






    def  A       (  self      :					int  ,						UpperCamelCase__      :					str  ,						UpperCamelCase__      :					List[Any]=5 ):


       """simple docstring"""







       if top_k > self.model.config.num_labels:
          UpperCamelCase					=  self.model.config.num_labels

       if self.framework == "pt":
          UpperCamelCase					=  model_outputs.logits.softmax(-1 )[0]
          UpperCamelCase				,      UpperCamelCase					=  probs.topk(UpperCamelCase__ )
       else:
          raise ValueError(f"""Unsupported framework: {self.framework}""" )

       UpperCamelCase					=  scores.tolist()
       UpperCamelCase					=  ids.tolist()
       return [{"score": score, "label": self.model.config.idalabel[_id]} for score, _id in zip(UpperCamelCase__  ,						UpperCamelCase__ )]

