problem with abstain calss value and received result in snorkel labeling package

Question

I am using Snorkel Labeling Package to programmatically label my unlabeled training data. I followed this like https://www.snorkel.org/use-cases/01-spam-tutorial

you should write several label function like:

from textblob import TextBlob

@labeling_function()
def lf_sent_blob(x):
    sent = TextBlob(x.text).sentiment.polarity 
    if sent>0:
        return positive
    elif sent<0:
        return negative
    else:
        #return neutral
        return ABSTAIN

then you define the list of label functions and apply that to your unlabeled data like here:

from snorkel.labeling.model import LabelModel
from snorkel.labeling import PandasLFApplier
from snorkel.labeling import LFAnalysis

lfs = [lf_sent_emoji, lf_has_special, lf_has_capital, lf_not_ABSTAIN_v2, lf_not_ABSTAIN_v1,
       lf_sent_blob]
# Apply the LFs to the unlabeled training data
applier = PandasLFApplier(lfs)
L_train = applier.apply(df)
# here you analyze your labels
LFAnalysis(L=L_train, lfs=lfs).lf_summary()

Here is my problem if at the beginning I define class labels values as below the analyzing result makes sense. for example coverage of labels or polarity of labels for lf_sent_blob label function makes sense. for example Polarity Infer the polarities of each LF based on evidence in a label matrix.

positive = 1
negative = 0
ABSTAIN = -1 # -1 should be reserved for abstain!?

However when I change it to which has better meaning for me:

positive = 1
negative = -1
ABSTAIN = 0 

I receive this result that is not correct

This is my question, is -1 integer value reserved for ABSTAIN class in snorkel if yes all staff does make sense?!!! if yes why they did not mention it in their tutorials or documentations ?!