code: 
  import argparse
  import os
  
  
  __lowerCAmelCase				      =					{
      '''pytorch''': {
          '''1.13''': {
              '''torch''': '''1.13.1''',
              '''torchvision''': '''0.14.1''',
              '''torchaudio''': '''0.13.1''',
              '''python''': 3.9,
              '''cuda''': '''cu116''',
              '''install''': (
                  '''python3 -m pip install --no-cache-dir -U torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1'''
                  ''' --extra-index-url https://download.pytorch.org/whl/cu116'''
              ),
              '''base_image''': '''nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04''',
          },
          '''1.12''': {
              '''torch''': '''1.12.1''',
              '''torchvision''': '''0.13.1''',
              '''torchaudio''': '''0.12.1''',
              '''python''': 3.9,
              '''cuda''': '''cu113''',
              '''install''': (
                  '''python3 -m pip install --no-cache-dir -U torch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1'''
                  ''' --extra-index-url https://download.pytorch.org/whl/cu113'''
              ),
              '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
          },
          '''1.11''': {
              '''torch''': '''1.11.0''',
              '''torchvision''': '''0.12.0''',
              '''torchaudio''': '''0.11.0''',
              '''python''': 3.9,
              '''cuda''': '''cu113''',
              '''install''': (
                  '''python3 -m pip install --no-cache-dir -U torch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0'''
                  ''' --extra-index-url https://download.pytorch.org/whl/cu113'''
              ),
              '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
          },
          '''1.10''': {
              '''torch''': '''1.10.2''',
              '''torchvision''': '''0.11.3''',
              '''torchaudio''': '''0.10.2''',
              '''python''': 3.9,
              '''cuda''': '''cu113''',
              '''install''': (
                  '''python3 -m pip install --no-cache-dir -U torch==1.10.2 torchvision==0.11.3 torchaudio==0.10.2'''
                  ''' --extra-index-url https://download.pytorch.org/whl/cu113'''
              ),
              '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
          },
          # torchaudio < 0.10 has no CUDA-enabled binary distributions
          '''1.9''': {
              '''torch''': '''1.9.1''',
              '''torchvision''': '''0.10.1''',
              '''torchaudio''': '''0.9.1''',
              '''python''': 3.9,
              '''cuda''': '''cu111''',
              '''install''': (
                  '''python3 -m pip install --no-cache-dir -U torch==1.9.1 torchvision==0.10.1 torchaudio==0.9.1'''
                  ''' --extra-index-url https://download.pytorch.org/whl/cu111'''
              ),
              '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
          },
      },
      '''tensorflow''': {
          '''2.11''': {
              '''tensorflow''': '''2.11.1''',
              '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.11.1''',
              '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
          },
          '''2.10''': {
              '''tensorflow''': '''2.10.1''',
              '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.10.1''',
              '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
          },
          '''2.9''': {
              '''tensorflow''': '''2.9.3''',
              '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.9.3''',
              '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
          },
          '''2.8''': {
              '''tensorflow''': '''2.8.2''',
              '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.8.2''',
              '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
          },
          '''2.7''': {
              '''tensorflow''': '''2.7.3''',
              '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.7.3''',
              '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
          },
          '''2.6''': {
              '''tensorflow''': '''2.6.5''',
              '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.6.5''',
              '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
          },
          '''2.5''': {
              '''tensorflow''': '''2.5.3''',
              '''install''': '''python3 -m pip install --no-cache-dir -U tensorflow==2.5.3''',
              '''base_image''': '''nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04''',
          },
      },
  }
  
  
  if __name__ == "__main__":
  							__lowerCAmelCase				      =					argparse.ArgumentParser('Choose the framework and version to install')
  							parser.add_argument(
  							    '--framework', help='The framework to install. Should be `torch` or `tensorflow`', type=str, required=True
  							)
  							parser.add_argument('--version', help='The version of the framework to install.', type=str, required=True)
  							__lowerCAmelCase				      =					parser.parse_args()
  
  							__lowerCAmelCase				      =					past_versions_testing[args.framework][args.version]
  
  							os.system(F'''echo "export INSTALL_CMD=\'{info["install"]}\'" >> ~/.profile''')
  							print(F'''echo "export INSTALL_CMD=\'{info["install"]}\'" >> ~/.profile''')
  
  							__lowerCAmelCase				      =					''''''
  							if args.framework == "pytorch":
  														__lowerCAmelCase				      =					info['''cuda''']
  							os.system(F'''echo \"export CUDA=\'{cuda}\'\" >> ~/.profile''')
  							print(F'''echo \"export CUDA=\'{cuda}\'\" >> ~/.profile''')
  
  
style_context: 
  from __future__ import annotations
  
  __lowerCAmelCase				      =					[2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]
  
  
  
  
  
  class 						lowerCamelCase			:
  
  
  
  
  
  
  
  	def __init__(    self			:List[str]      ,    lowercase			:int )		->			None:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   -1
  				SCREAMING_SNAKE_CASE    	=   -1
  				SCREAMING_SNAKE_CASE    	=   [-1] * length
  				SCREAMING_SNAKE_CASE    	=   None
  				SCREAMING_SNAKE_CASE    	=   None
  
  
  
  
  
  
  
  	def __repr__(    self			:List[Any] )		->			str:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				return f"""Node(min_value={self.minn} max_value={self.maxx})"""
  
  
  
  def       a			(   a  )    ->Node | None:
  
  
  
  
  			'''simple docstring'''
  
  
  			SCREAMING_SNAKE_CASE    	=   Node(len(a  )  )
  			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   min(a  ), max(a  )
  			# Leaf node case where the node contains only one unique value
  			if root.minn == root.maxx:
  						return root
  			SCREAMING_SNAKE_CASE    	=   (root.minn + root.maxx) // 2
  
  			SCREAMING_SNAKE_CASE    	=   []
  			SCREAMING_SNAKE_CASE    	=   []
  
  			for index, num in enumerate(a  ):
  						if num <= pivot:
  									left_arr.append(a  )
  						else:
  									right_arr.append(a  )
  						SCREAMING_SNAKE_CASE    	=   len(a  )
  			SCREAMING_SNAKE_CASE    	=   build_tree(a  )
  			SCREAMING_SNAKE_CASE    	=   build_tree(a  )
  			return root
  
  
  def       a			(   a		,	a		,	a  )    ->int:
  
  
  
  
  			'''simple docstring'''
  
  
  			if index < 0 or node is None:
  						return 0
  			# Leaf node cases
  			if node.minn == node.maxx:
  						return index + 1 if node.minn == num else 0
  			SCREAMING_SNAKE_CASE    	=   (node.minn + node.maxx) // 2
  			if num <= pivot:
  						# go the left subtree and map index to the left subtree
  						return rank_till_index(node.left		,	a		,	node.map_left[index] - 1  )
  			else:
  						# go to the right subtree and map index to the right subtree
  						return rank_till_index(node.right		,	a		,	index - node.map_left[index]  )
  
  
  def       a			(   a		,	a		,	a		,	a  )    ->int:
  
  
  
  
  			'''simple docstring'''
  
  
  			if start > end:
  						return 0
  			SCREAMING_SNAKE_CASE    	=   rank_till_index(a		,	a		,	a  )
  			SCREAMING_SNAKE_CASE    	=   rank_till_index(a		,	a		,	start - 1  )
  			return rank_till_end - rank_before_start
  
  
  def       a			(   a		,	a		,	a		,	a  )    ->int:
  
  
  
  
  			'''simple docstring'''
  
  
  			if index > (end - start) or start > end or node is None:
  						return -1
  			# Leaf node case
  			if node.minn == node.maxx:
  						return node.minn
  			# Number of elements in the left subtree in interval [start, end]
  			SCREAMING_SNAKE_CASE    	=   node.map_left[end] - (
  			    node.map_left[start - 1] if start else 0
  			)
  			if num_elements_in_left_tree > index:
  						return quantile(
  						    node.left		,	a		,	(node.map_left[start - 1] if start else 0)		,	node.map_left[end] - 1		,	)
  			else:
  						return quantile(
  						    node.right		,	index - num_elements_in_left_tree		,	start - (node.map_left[start - 1] if start else 0)		,	end - node.map_left[end]		,	)
  
  
  def       a			(   a		,	a		,	a		,	a		,	a  )    ->int:
  
  
  
  
  			'''simple docstring'''
  
  
  			if (
  			    start > end
  			    or node is None
  			    or start_num > end_num
  			    or node.minn > end_num
  			    or node.maxx < start_num
  			):
  						return 0
  			if start_num <= node.minn and node.maxx <= end_num:
  						return end - start + 1
  			SCREAMING_SNAKE_CASE    	=   range_counting(
  			    node.left		,	(node.map_left[start - 1] if start else 0)		,	node.map_left[end] - 1		,	a		,	a		,	)
  			SCREAMING_SNAKE_CASE    	=   range_counting(
  			    node.right		,	start - (node.map_left[start - 1] if start else 0)		,	end - node.map_left[end]		,	a		,	a		,	)
  			return left + right
  
  
  if __name__ == "__main__":
  							import doctest
  
  							doctest.testmod()