



"""simple docstring"""







from __future__ import annotations

import random
from collections.abc import Iterable





class    UpperCamelCase     :




	"""simple docstring"""






	def __init__(			self							,UpperCAmelCase_					):
			_lowercase							:      dict[str, bool | None]			=					{literal: None for literal in literals}






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






	def __len__(			self					):
			return len(self.literals					)






	def 					lowerCamelCase__ (			self							,UpperCAmelCase_					):
			for literal in self.literals:
					_lowercase							:      Dict			=					literal[:2]
					if symbol in model:
							_lowercase							:      Tuple			=					model[symbol]
					else:
							continue
					if value is not None:
							# Complement assignment if literal is in complemented form
							if literal.endswith("""'"""					):
									_lowercase							:      List[str]			=					not value
					_lowercase							:      Dict			=					value






	def 					lowerCamelCase__ (			self							,UpperCAmelCase_					):
			for literal in self.literals:
					_lowercase							:      int			=					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    UpperCamelCase     :




	"""simple docstring"""






	def __init__(			self							,UpperCAmelCase_					):
			_lowercase							:      List[Any]			=					list(UpperCAmelCase_					)






	def __str__(			self					):
			return "{" + " , ".join(str(UpperCAmelCase_					) for clause in self.clauses					) + "}"







def       __SCREAMING_SNAKE_CASE      (   ):
		_lowercase							:      Any			=					[]
		_lowercase							:      List[str]			=					random.randint(1					,							5	)
		_lowercase							:      Union[str, Any]			=					"""A"""
		_lowercase							:      Tuple			=					0
		while i < no_of_literals:
				_lowercase							:      int			=					random.randint(1					,							5	)
				_lowercase							:      Union[str, Any]			=					base_var + str(__UpperCAmelCase	)
				_lowercase							:      Optional[int]			=					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       __SCREAMING_SNAKE_CASE      (   ):
		_lowercase							:      set[Clause]			=					set()
		_lowercase							:      List[Any]			=					random.randint(1					,							10	)
		while len(__UpperCAmelCase	) < no_of_clauses:
				clauses.add(generate_clause()	)
		return Formula(__UpperCAmelCase	)


def       __SCREAMING_SNAKE_CASE      (   __UpperCAmelCase	):
		_lowercase							:      Optional[int]			=					formula.clauses
		_lowercase							:      Any			=					[]
		for clause in formula.clauses:
				for literal in clause.literals:
						_lowercase							:      Dict			=					literal[:2]
						if symbol not in symbols_set:
								symbols_set.append(__UpperCAmelCase	)
		return clauses, symbols_set


def       __SCREAMING_SNAKE_CASE      (   __UpperCAmelCase					,							__UpperCAmelCase					,							__UpperCAmelCase	):
		_lowercase							:      Union[str, Any]			=					[]
		_lowercase							:      dict[str, bool | None]			=					{}
		_lowercase							:      Optional[int]			=					[]

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

		for s in symbols:
				_lowercase							:      Union[str, Any]			=					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:
				_lowercase							:      List[Any]			=					None
		for s in pure_symbols:
				_lowercase							:      Optional[Any]			=					s + """'"""
				if s in literals:
						_lowercase							:      Tuple			=					True
				elif sym in literals:
						_lowercase							:      Dict			=					False
		return pure_symbols, assignment


def       __SCREAMING_SNAKE_CASE      (   __UpperCAmelCase					,							__UpperCAmelCase	):
		_lowercase							:      Union[str, Any]			=					[]
		for clause in clauses:
				if len(__UpperCAmelCase	) == 1:
						unit_symbols.append(list(clause.literals.keys()	)[0]	)
				else:
						_lowercase			,   _lowercase							:      int			=					0, 0
						for literal, value in clause.literals.items():
								if value is False:
										f_count += 1
								elif value is None:
										_lowercase							:      Dict			=					literal
										n_count += 1
						if f_count == len(__UpperCAmelCase	) - 1 and n_count == 1:
								unit_symbols.append(__UpperCAmelCase	)
		_lowercase							:      dict[str, bool | None]			=					{}
		for i in unit_symbols:
				_lowercase							:      str			=					i[:2]
				_lowercase							:      Tuple			=					len(__UpperCAmelCase	) == 2
		_lowercase							:      Optional[int]			=					[i[:2] for i in unit_symbols]

		return unit_symbols, assignment


def       __SCREAMING_SNAKE_CASE      (   __UpperCAmelCase					,							__UpperCAmelCase					,							__UpperCAmelCase	):
		_lowercase							:      str			=					True
		for clause in clauses:
				_lowercase							:      List[Any]			=					clause.evaluate(__UpperCAmelCase	)
				if clause_check is False:
						return False, None
				elif clause_check is None:
						_lowercase							:      List[Any]			=					False
						continue

		if check_clause_all_true:
				return True, model

		try:
				_lowercase			,   _lowercase							:      Union[str, Any]			=					find_pure_symbols(__UpperCAmelCase					,							__UpperCAmelCase					,							__UpperCAmelCase	)
		except RecursionError:
				print("""raises a RecursionError and is"""	)
				return None, {}
		_lowercase							:      Optional[int]			=					None
		if len(__UpperCAmelCase	) > 0:
				_lowercase			,   _lowercase							:      Tuple			=					pure_symbols[0], assignment[pure_symbols[0]]

		if p:
				_lowercase							:      List[str]			=					model
				_lowercase							:      List[Any]			=					value
				_lowercase							:      Any			=					list(__UpperCAmelCase	)
				if p in tmp_symbols:
						tmp_symbols.remove(__UpperCAmelCase	)
				return dpll_algorithm(__UpperCAmelCase					,							__UpperCAmelCase					,							__UpperCAmelCase	)

		_lowercase			,   _lowercase							:      str			=					find_unit_clauses(__UpperCAmelCase					,							__UpperCAmelCase	)
		_lowercase							:      str			=					None
		if len(__UpperCAmelCase	) > 0:
				_lowercase			,   _lowercase							:      Optional[int]			=					unit_symbols[0], assignment[unit_symbols[0]]
		if p:
				_lowercase							:      Any			=					model
				_lowercase							:      List[Any]			=					value
				_lowercase							:      List[str]			=					list(__UpperCAmelCase	)
				if p in tmp_symbols:
						tmp_symbols.remove(__UpperCAmelCase	)
				return dpll_algorithm(__UpperCAmelCase					,							__UpperCAmelCase					,							__UpperCAmelCase	)
		_lowercase							:      Any			=					symbols[0]
		_lowercase							:      Dict			=					symbols[1:]
		_lowercase			,   _lowercase							:      Tuple			=					model, model
		_lowercase			,   _lowercase							:      List[Any]			=					True, False

		return dpll_algorithm(__UpperCAmelCase					,							__UpperCAmelCase					,							__UpperCAmelCase	) or dpll_algorithm(__UpperCAmelCase					,							__UpperCAmelCase					,							__UpperCAmelCase	)


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		UpperCAmelCase:   Optional[int]       			=							generate_formula()
		print(F'The formula {formula} is', end=""" """)

		UpperCAmelCase			,      UpperCAmelCase:   List[str]       			=							generate_parameters(formula)
		UpperCAmelCase			,      UpperCAmelCase:   int       			=							dpll_algorithm(clauses, symbols, {})

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





'''simple docstring'''
import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


lowerCAmelCase :  Union[str, Any]      =      logging.get_logger(__name__)

lowerCAmelCase :  List[Any]      =      {
    'facebook/musicgen-small': 'https://huggingface.co/facebook/musicgen-small/resolve/main/config.json',
    # See all Musicgen models at https://huggingface.co/models?filter=musicgen
}


class        SCREAMING_SNAKE_CASE__	(			snake_case_):
				lowerCAmelCase_			       =				"""musicgen_decoder"""
				lowerCAmelCase_			       =				["""past_key_values"""]







				def __init__(    self		,							A_=2048		,							A_=2048		,							A_=24		,							A_=4096		,							A_=16		,							A_=0.0		,							A_=True		,							A_="gelu"		,							A_=1024		,							A_=0.1		,							A_=0.0		,							A_=0.0		,							A_=0.02		,							A_=False		,							A_=4		,							A_=2048		,							A_=2048		,							A_=None		,							A_=False		,							**A_		,							)->						Any:







											'''simple docstring'''






											UpperCamelCase					       =			vocab_size
											UpperCamelCase					       =			max_position_embeddings
											UpperCamelCase					       =			hidden_size
											UpperCamelCase					       =			ffn_dim
											UpperCamelCase					       =			num_hidden_layers
											UpperCamelCase					       =			num_attention_heads
											UpperCamelCase					       =			dropout
											UpperCamelCase					       =			attention_dropout
											UpperCamelCase					       =			activation_dropout
											UpperCamelCase					       =			activation_function
											UpperCamelCase					       =			initializer_factor
											UpperCamelCase					       =			layerdrop
											UpperCamelCase					       =			use_cache
											UpperCamelCase					       =			scale_embedding  # scale factor will be sqrt(d_model) if True
											UpperCamelCase					       =			num_codebooks
											super().__init__(
											    pad_token_id=A_		,							bos_token_id=A_		,							eos_token_id=A_		,							tie_word_embeddings=A_		,							**A_		,							)


class        SCREAMING_SNAKE_CASE__	(			snake_case_):
				lowerCAmelCase_			       =				"""musicgen"""
				lowerCAmelCase_			       =				True







				def __init__(    self		,							**A_			)->						Union[str, Any]:







											'''simple docstring'''






											super().__init__(**A_			)
											if "text_encoder" not in kwargs or "audio_encoder" not in kwargs or "decoder" not in kwargs:
																		raise ValueError('Config has to be initialized with text_encoder, audio_encoder and decoder config'			)

											UpperCamelCase					       =			kwargs.pop('text_encoder'			)
											UpperCamelCase					       =			text_encoder_config.pop('model_type'			)

											UpperCamelCase					       =			kwargs.pop('audio_encoder'			)
											UpperCamelCase					       =			audio_encoder_config.pop('model_type'			)

											UpperCamelCase					       =			kwargs.pop('decoder'			)

											UpperCamelCase					       =			AutoConfig.for_model(A_		,							**A_			)
											UpperCamelCase					       =			AutoConfig.for_model(A_		,							**A_			)
											UpperCamelCase					       =			MusicgenDecoderConfig(**A_			)
											UpperCamelCase					       =			True







				@classmethod
				def 		UpperCAmelCase_  (    cls		,							A_		,							A_		,							A_		,							**A_		,							)->						Tuple:







											'''simple docstring'''






											return cls(
											    text_encoder=text_encoder_config.to_dict()		,							audio_encoder=audio_encoder_config.to_dict()		,							decoder=decoder_config.to_dict()		,							**A_		,							)







				def 		UpperCAmelCase_  (    self			)->						Optional[Any]:







											'''simple docstring'''






											UpperCamelCase					       =			copy.deepcopy(self.__dict__			)
											UpperCamelCase					       =			self.text_encoder.to_dict()
											UpperCamelCase					       =			self.audio_encoder.to_dict()
											UpperCamelCase					       =			self.decoder.to_dict()
											UpperCamelCase					       =			self.__class__.model_type
											return output




