




import argparse

import torch
from torch import nn

from transformers import PLBartConfig, PLBartForConditionalGeneration, PLBartForSequenceClassification


def 						lowerCamelCase__   (		_A							):







	'''simple docstring'''





	snake_case_		   =					[
	    "encoder.version",
	    "decoder.version",
	    "model.encoder.version",
	    "model.decoder.version",
	    "_float_tensor",
	    "decoder.output_projection.weight",
	]
	for k in ignore_keys:
		state_dict.pop(_A					,     _A							)


def 						lowerCamelCase__   (		_A							):







	'''simple docstring'''





	snake_case_   ,				snake_case_		   =					emb.weight.shape
	snake_case_		   =					nn.Linear(_A					,     _A					,     bias=_A							)
	snake_case_		   =					emb.weight.data
	return lin_layer


def 						lowerCamelCase__   (		_A					,     _A="uclanlp/plbart-base"					,     _A=False					,     _A=False							):







	'''simple docstring'''





	snake_case_		   =					torch.load(_A					,     map_location="cpu"							)["model"]
	remove_ignore_keys_(_A							)
	snake_case_		   =					state_dict["encoder.embed_tokens.weight"].shape[0]

	snake_case_		   =					PLBartConfig.from_pretrained(_A					,     vocab_size=_A							)

	snake_case_		   =					state_dict["decoder.embed_tokens.weight"]
	if not classification:
		snake_case_		   =					PLBartForConditionalGeneration(_A							)
		model.model.load_state_dict(_A							)
		if finetuned:
			snake_case_		   =					make_linear_from_emb(model.model.shared							)

	else:
		snake_case_		   =					{}
		for key, value in state_dict.copy().items():
			if key.startswith("classification_heads.sentence_classification_head"							):
				snake_case_		   =					value
				state_dict.pop(_A							)
		snake_case_		   =					PLBartForSequenceClassification(_A							)
		model.model.load_state_dict(_A							)
		model.classification_head.load_state_dict(_A							)

	return model


if __name__ == "__main__":
		lowercase__    :					int					=						argparse.ArgumentParser()
		# Required parameters
		parser.add_argument("fairseq_path", type=str, help="model.pt on local filesystem.")
		parser.add_argument("pytorch_dump_folder_path", default=None, type=str, help="Path to the output PyTorch model.")
		parser.add_argument(
		    "--hf_config",
		    default="uclanlp/plbart-base",
		    type=str,
		    help="Which huggingface architecture to use: plbart-base",
		)
		parser.add_argument("--finetuned", action="store_true", help="whether the model is a fine-tuned checkpoint")
		parser.add_argument(
		    "--classification", action="store_true", help="whether the model is a classification checkpoint"
		)
		lowercase__    :					int					=						parser.parse_args()
		lowercase__    :					List[Any]					=						convert_fairseq_plbart_checkpoint_from_disk(
		    args.fairseq_path,
		    hf_config_path=args.hf_config,
		    finetuned=args.finetuned,
		    classification=args.classification,
		)
		model.save_pretrained(args.pytorch_dump_folder_path)






from __future__ import annotations

import random
from collections.abc import Iterable
class 		UpperCAmelCase       :







						'''simple docstring'''





						def __init__(						self							:					int	,     __lowercase							:					list[str]						):






							"""simple docstring"""






							snake_case_		   =					{literal: None for literal in literals}






						def __str__(						self							:					str						):






							"""simple docstring"""






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






						def __len__(						self							:					Optional[int]						):






							"""simple docstring"""






							return len(self.literals						)






						def 	snake_case__						(						self							:					Dict	,     __lowercase							:					dict[str, bool | None]						):






							"""simple docstring"""






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






						def 	snake_case__						(						self							:					List[Any]	,     __lowercase							:					dict[str, bool | None]						):






							"""simple docstring"""






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

							self.assign(__lowercase						)
							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							:					Union[str, Any]	,     __lowercase							:					Iterable[Clause]						):






							"""simple docstring"""






							snake_case_		   =					list(__lowercase						)






						def __str__(						self							:					Dict						):






							"""simple docstring"""






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







def 						lowerCamelCase__   (		):







	'''simple docstring'''





	snake_case_		   =					[]
	snake_case_		   =					random.randint(1					,     5							)
	snake_case_		   =					"A"
	snake_case_		   =					0
	while i < no_of_literals:
		snake_case_		   =					random.randint(1					,     5							)
		snake_case_		   =					base_var + str(_A							)
		snake_case_		   =					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 						lowerCamelCase__   (		):







	'''simple docstring'''





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


def 						lowerCamelCase__   (		_A							):







	'''simple docstring'''





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


def 						lowerCamelCase__   (		_A					,     _A					,     _A							):







	'''simple docstring'''





	snake_case_		   =					[]
	snake_case_		   =					{}
	snake_case_		   =					[]

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

	for s in symbols:
		snake_case_		   =					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:
		snake_case_		   =					None
	for s in pure_symbols:
		snake_case_		   =					s + "'"
		if s in literals:
			snake_case_		   =					True
		elif sym in literals:
			snake_case_		   =					False
	return pure_symbols, assignment


def 						lowerCamelCase__   (		_A					,     _A							):







	'''simple docstring'''





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

	return unit_symbols, assignment


def 						lowerCamelCase__   (		_A					,     _A					,     _A							):







	'''simple docstring'''





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

	if check_clause_all_true:
		return True, model

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

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

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

	return dpll_algorithm(_A					,     _A					,     _A							) or dpll_algorithm(_A					,     _A					,     _A							)


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		lowercase__    :					Tuple					=						generate_formula()
		print(f'''The formula {formula} is''', end=" ")

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

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