

from __future__ import annotations

import random
from collections.abc import Iterable

class    a__  :
			"""simple docstring"""







			def __init__(      self , lowercase    )					->  Tuple:
							'''simple docstring'''






							A__            =     {literal: None for literal in literals}


			def __str__(      self    )					->  Any:
							'''simple docstring'''






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


			def __len__(      self    )					->  Optional[int]:
							'''simple docstring'''






							return len(self.literals    )


			def        UpperCamelCase						(      self , lowercase    )					->  Any:
							'''simple docstring'''






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


			def        UpperCamelCase						(      self , lowercase    )					->  Dict:
							'''simple docstring'''






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

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

class    a__  :
			"""simple docstring"""







			def __init__(      self , lowercase    )					->  Optional[Any]:
							'''simple docstring'''






							A__            =     list(snake_case_    )


			def __str__(      self    )					->  Dict:
							'''simple docstring'''






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


def    lowerCAmelCase__							(		)     -> int:




				'''simple docstring'''





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


def    lowerCAmelCase__							(		)     -> Tuple:




				'''simple docstring'''





				A__            =     set()
				A__            =     random.randint(1		,    1_0 )
				while len(_UpperCAmelCase ) < no_of_clauses:
								clauses.add(generate_clause() )
				return Formula(_UpperCAmelCase )


def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							List[str] )     -> List[Any]:




				'''simple docstring'''





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


def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							List[Any]		,    SCREAMING_SNAKE_CASE_:							List[Any]		,    SCREAMING_SNAKE_CASE_:							List[Any] )     -> Dict:




				'''simple docstring'''





				A__            =     []
				A__            =     {}
				A__            =     []

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

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


def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							Union[str, Any]		,    SCREAMING_SNAKE_CASE_:							Tuple )     -> str:




				'''simple docstring'''





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

				return unit_symbols, assignment


def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							Dict		,    SCREAMING_SNAKE_CASE_:							Union[str, Any]		,    SCREAMING_SNAKE_CASE_:							Any )     -> List[str]:




				'''simple docstring'''





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

				if check_clause_all_true:
								return True, model

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

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

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

				return dpll_algorithm(_UpperCAmelCase		,    _UpperCAmelCase		,    _UpperCAmelCase ) or dpll_algorithm(_UpperCAmelCase		,    _UpperCAmelCase		,    _UpperCAmelCase )


if __name__ == "__main__":
	import doctest

	doctest.testmod()

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

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

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




from typing import Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


lowerCAmelCase__						=	[
    """AutomaticSpeechRecognition""",
    """AudioClassification""",
    """ImageClassification""",
    """LanguageModeling""",
    """QuestionAnsweringExtractive""",
    """Summarization""",
    """TaskTemplate""",
    """TextClassification""",
]

lowerCAmelCase__						=	get_logger(__name__)


lowerCAmelCase__						=	{
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}



def    lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							dict )     -> Optional[TaskTemplate]:




				'''simple docstring'''





				A__            =     task_template_dict.get("task" )
				if task_name is None:
								logger.warning(F'Couldn\'t find template for task \'{task_name}\'. Available templates: {list(SCREAMING_SNAKE_CASE_ )}' )
								return None
				A__            =     NAMEaTEMPLATE.get(SCREAMING_SNAKE_CASE_ )
				return template.from_dict(SCREAMING_SNAKE_CASE_ )

