<commit_before>import numpy as np
import theano
import theano.tensor as T

from itertools import combinations
from keras.layers.core import MaskedLayer, Layer, Dense
from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams

floatX = theano.config.floatX


class Pass(MaskedLayer):
    ''' Do literally nothing '''
    def __init__(self,):
        super(Pass, self).__init__()

    def get_output(self, train=False):
        X = self.get_input(train)
        return X


class GaussianProd(MaskedLayer):<commit_msg>Fixed Pass<commit_after>import numpy as np
import theano
import theano.tensor as T

from itertools import combinations
from keras.layers.core import MaskedLayer, Layer, Dense
from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams

floatX = theano.config.floatX


class Pass(MaskedLayer):
    ''' Do literally nothing '''
    def __init__(self,):
        super(Pass, self).__init__()
        self.input = T.matrix()
        
    def get_output(self, train=False):
        X = self.get_input(train)
        return X


class GaussianProd(MaskedLayer):
{'fraction_non_alphanumeric': 0.08539944903581267, 'fraction_numerical': 0.0, 'mean_word_length': 3.8444444444444446, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '70714', 'n_tokens_mistral': 345, 'n_tokens_neox': 337, 'n_words': 94}