





from __future__ import annotations

import random
from collections.abc import Iterable

class 	__snake_case					:






    '''simple docstring'''





    def __init__( self    :		Tuple      ,    snake_case    :		Optional[Any]				):

      """simple docstring"""





      __lowerCAmelCase								=					{literal: None for literal in literals}





    def __str__( self    :		Dict				):

      """simple docstring"""





      return "{" + " , ".join(self.literals				) + "}"





    def __len__( self    :		Dict				):

      """simple docstring"""





      return len(self.literals				)





    def 						A		( self    :		Optional[int]      ,    snake_case    :		str				):

      """simple docstring"""





      for literal in self.literals:
        __lowerCAmelCase								=					literal[:2]
        if symbol in model:
          __lowerCAmelCase								=					model[symbol]
        else:
          continue
        if value is not None:
          # Complement assignment if literal is in complemented form
          if literal.endswith('''\''''				):
            __lowerCAmelCase								=					not value
        __lowerCAmelCase								=					value





    def 						A		( self    :		int      ,    snake_case    :		List[str]				):

      """simple docstring"""





      for literal in self.literals:
        __lowerCAmelCase								=					literal.rstrip('''\''''				) if literal.endswith('''\''''				) else literal + '''\''''
        if symbol in self.literals:
          return True

      self.assign(__UpperCamelCase				)
      for value in self.literals.values():
        if value in (True, None):
          return value
      return any(self.literals.values()				)


class 	__snake_case					:






    '''simple docstring'''





    def __init__( self    :		List[str]      ,    snake_case    :		List[Any]				):

      """simple docstring"""





      __lowerCAmelCase								=					list(__UpperCamelCase				)





    def __str__( self    :		Optional[int]				):

      """simple docstring"""





      return "{" + " , ".join(str(__UpperCamelCase				) for clause in self.clauses				) + "}"


def        __SCREAMING_SNAKE_CASE	(				):



  '''simple docstring'''






  __lowerCAmelCase								=					[]
  __lowerCAmelCase								=					random.randint(1  ,				5)
  __lowerCAmelCase								=					'''A'''
  __lowerCAmelCase								=					0
  while i < no_of_literals:
    __lowerCAmelCase								=					random.randint(1  ,				5)
    __lowerCAmelCase								=					base_var + str(a__)
    __lowerCAmelCase								=					random.randint(0  ,				1)
    if var_complement == 1:
      var_name += "'"
    if var_name in literals:
      i -= 1
    else:
      literals.append(a__)
    i += 1
  return Clause(a__)


def        __SCREAMING_SNAKE_CASE	(				):



  '''simple docstring'''






  __lowerCAmelCase								=					set()
  __lowerCAmelCase								=					random.randint(1  ,				10)
  while len(a__) < no_of_clauses:
    clauses.add(generate_clause())
  return Formula(a__)


def        __SCREAMING_SNAKE_CASE	(				__lowercase:		Formula):



  '''simple docstring'''






  __lowerCAmelCase								=					formula.clauses
  __lowerCAmelCase								=					[]
  for clause in formula.clauses:
    for literal in clause.literals:
      __lowerCAmelCase								=					literal[:2]
      if symbol not in symbols_set:
        symbols_set.append(a__)
  return clauses, symbols_set


def        __SCREAMING_SNAKE_CASE	(				__lowercase:		list[Clause]  ,				__lowercase:		list[str]  ,				__lowercase:		dict[str, bool | None]):



  '''simple docstring'''






  __lowerCAmelCase								=					[]
  __lowerCAmelCase								=					{}
  __lowerCAmelCase								=					[]

  for clause in clauses:
    if clause.evaluate(a__):
      continue
    for literal in clause.literals:
      literals.append(a__)

  for s in symbols:
    __lowerCAmelCase								=					s + '''\''''
    if (s in literals and sym not in literals) or (
        s not in literals and sym in literals
    ):
      pure_symbols.append(a__)
  for p in pure_symbols:
    __lowerCAmelCase								=					None
  for s in pure_symbols:
    __lowerCAmelCase								=					s + '''\''''
    if s in literals:
      __lowerCAmelCase								=					True
    elif sym in literals:
      __lowerCAmelCase								=					False
  return pure_symbols, assignment


def        __SCREAMING_SNAKE_CASE	(				__lowercase:		list[Clause]  ,				__lowercase:		dict[str, bool | None]):



  '''simple docstring'''






  __lowerCAmelCase								=					[]
  for clause in clauses:
    if len(a__) == 1:
      unit_symbols.append(list(clause.literals.keys())[0])
    else:
      __lowerCAmelCase						,    __lowerCAmelCase								=					0, 0
      for literal, value in clause.literals.items():
        if value is False:
          f_count += 1
        elif value is None:
          __lowerCAmelCase								=					literal
          n_count += 1
      if f_count == len(a__) - 1 and n_count == 1:
        unit_symbols.append(a__)
  __lowerCAmelCase								=					{}
  for i in unit_symbols:
    __lowerCAmelCase								=					i[:2]
    __lowerCAmelCase								=					len(a__) == 2
  __lowerCAmelCase								=					[i[:2] for i in unit_symbols]

  return unit_symbols, assignment


def        __SCREAMING_SNAKE_CASE	(				__lowercase:		list[Clause]  ,				__lowercase:		list[str]  ,				__lowercase:		dict[str, bool | None]):



  '''simple docstring'''






  __lowerCAmelCase								=					True
  for clause in clauses:
    __lowerCAmelCase								=					clause.evaluate(a__)
    if clause_check is False:
      return False, None
    elif clause_check is None:
      __lowerCAmelCase								=					False
      continue

  if check_clause_all_true:
    return True, model

  try:
    __lowerCAmelCase						,    __lowerCAmelCase								=					find_pure_symbols(a__  ,				a__  ,				a__)
  except RecursionError:
    print('''raises a RecursionError and is''')
    return None, {}
  __lowerCAmelCase								=					None
  if len(a__) > 0:
    __lowerCAmelCase						,    __lowerCAmelCase								=					pure_symbols[0], assignment[pure_symbols[0]]

  if p:
    __lowerCAmelCase								=					model
    __lowerCAmelCase								=					value
    __lowerCAmelCase								=					list(a__)
    if p in tmp_symbols:
      tmp_symbols.remove(a__)
    return dpll_algorithm(a__  ,				a__  ,				a__)

  __lowerCAmelCase						,    __lowerCAmelCase								=					find_unit_clauses(a__  ,				a__)
  __lowerCAmelCase								=					None
  if len(a__) > 0:
    __lowerCAmelCase						,    __lowerCAmelCase								=					unit_symbols[0], assignment[unit_symbols[0]]
  if p:
    __lowerCAmelCase								=					model
    __lowerCAmelCase								=					value
    __lowerCAmelCase								=					list(a__)
    if p in tmp_symbols:
      tmp_symbols.remove(a__)
    return dpll_algorithm(a__  ,				a__  ,				a__)
  __lowerCAmelCase								=					symbols[0]
  __lowerCAmelCase								=					symbols[1:]
  __lowerCAmelCase						,    __lowerCAmelCase								=					model, model
  __lowerCAmelCase						,    __lowerCAmelCase								=					True, False

  return dpll_algorithm(a__  ,				a__  ,				a__) or dpll_algorithm(a__  ,				a__  ,				a__)


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      __lowercase				    =      generate_formula()
      print(f"""The formula {formula} is""", end=""" """)

      __lowercase    ,							__lowercase				    =      generate_parameters(formula)
      __lowercase    ,							__lowercase				    =      dpll_algorithm(clauses, symbols, {})

      if solution:
            print(f"""satisfiable with the assignment {model}.""")
      else:
            print("""not satisfiable.""")


import argparse
import os


_A							=       {
    '''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__":
      _A							=       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)
      _A							=       parser.parse_args()

      _A							=       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''')

      _A							=       ''''''
      if args.framework == "pytorch":
            _A							=       info['''cuda''']
      os.system(F'''echo \"export CUDA=\'{cuda}\'\" >> ~/.profile''')
      print(F'''echo \"export CUDA=\'{cuda}\'\" >> ~/.profile''')



