IcedDoggie

def text_encoding(vocab_len, original_text, nt, nz,cap_length, batch_size):
	# initialization of pytorch functions

	# Word embedding here
	text_embedding = nn.Embedding(batch_size * cap_length + 1, nt).cuda()

	# RNN layers
	rnn = nn.LSTM(cap_length + 1, 256, batch_size).cuda()	

	# FC layer

IcedDoggie

   var powerSets = new Array();
    powerSets.push("Z");
   
    var statesInString = states.join('');
    statesInString = statesInString.substring(0, numLines); //take the NFA string only
    string_recursive(powerSets,"",statesInString);
    alert(powerSets[0]);
    // for(i = 0; i<powerSetNumber ; i++){
    //     alert(powerSets[i]);
    // }