import os

__lowerCamelCase    :				Union[str, Any]							     =	{'''I''': 1, '''V''': 5, '''X''': 10, '''L''': 50, '''C''': 100, '''D''': 500, '''M''': 1000}



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: str			)							->      int:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   0

  SCREAMING_SNAKE_CASE__    							=   0
  while index < len(__UpperCamelCase			) - 1:
    SCREAMING_SNAKE_CASE__    							=   SYMBOLS[numerals[index]]
    SCREAMING_SNAKE_CASE__    							=   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 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: int			)							->      str:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   """"""

  SCREAMING_SNAKE_CASE__    							=   num // 10_00
  numerals += m_count * "M"
  num %= 10_00

  SCREAMING_SNAKE_CASE__    							=   num // 1_00
  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 %= 1_00

  SCREAMING_SNAKE_CASE__    							=   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 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: str = "/p089_roman.txt"			)							->      int:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   0

  with open(os.path.dirname(__UpperCamelCase			) + roman_numerals_filename			) as filea:
    SCREAMING_SNAKE_CASE__    							=   filea.readlines()

  for line in lines:
    SCREAMING_SNAKE_CASE__    							=   line.strip()
    SCREAMING_SNAKE_CASE__    							=   parse_roman_numerals(__UpperCamelCase			)
    SCREAMING_SNAKE_CASE__    							=   generate_roman_numerals(__UpperCamelCase			)
    savings += len(__UpperCamelCase			) - len(__UpperCamelCase			)

  return savings


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

# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# this script dumps information about the environment

import os
import sys

import transformers


__lowerCamelCase    :				Tuple							     =	'''3'''

print('''Python version:''', sys.version)
print('''transformers version:''', transformers.__version__)

try:
   import torch

   print('''Torch version:''', torch.__version__)
   print('''Cuda available:''', torch.cuda.is_available())
   print('''Cuda version:''', torch.version.cuda)
   print('''CuDNN version:''', torch.backends.cudnn.version())
   print('''Number of GPUs available:''', torch.cuda.device_count())
   print('''NCCL version:''', torch.cuda.nccl.version())
except ImportError:
   print('''Torch version:''', None)

try:
   import deepspeed

   print('''DeepSpeed version:''', deepspeed.__version__)
except ImportError:
   print('''DeepSpeed version:''', None)

try:
   import tensorflow as tf

   print('''TensorFlow version:''', tf.__version__)
   print('''TF GPUs available:''', bool(tf.config.list_physical_devices('''GPU''')))
   print('''Number of TF GPUs available:''', len(tf.config.list_physical_devices('''GPU''')))
except ImportError:
   print('''TensorFlow version:''', None)
