Skip to main content

A library for commented out code detection

Project description

commented out code

This library can detect both inline or block commented out code.

It sends rpc to the server which uses LSTM model to predict commented out code. The server runs on my school data center, and will be migrated to a private machine.

Only support c/c++ now. More language support is about to come

How to use

sample code

text =  '''
    void DropoutLayer::updateB(){

        int num = this->numUnit;
        //cout<<"Error!!!!!!!!!!!!!!!!in DropoutLayer!!!!!!!"<<endl;
        if (this->z == NULL){ // embeddings
            // gradB += dE_dy, because y = b
            iXpY( num , this->dE_dy, gradBiases + bidx );


        if (fprime != dummy){

            // dy_dz = f', evaluated at y
            ( * this->fprime)(this->y, this->dy_dz, num);
            // dE_dz = dE_dy .* dy_dz

            pointwise_dot(this->dE_dy, this->dy_dz, this->dE_dz, num);
            //cout<<"dropout backward"<<endl;
            for( int i = 0; i < num; ++i){

                this->dE_dz[i] *= this->indicator[i];


        }// else if fprime == softmaxprime{
            // do nothing, because we assume dE_dz is given by softmax


    //		ReLUPrime(float * y, float * dy_dz, int n);
print(, 'cpp')) # return OrderedDict object, key is line_number, value is the commented code itself

# output
# OrderedDict([(4, 'cout<<"Error!!!!!!!!!!!!!!!!in DropoutLayer!!!!!!!"<<endl;'),
#             (19, 'cout<<"dropout backward"<<endl;'),
#             (26, 'else if fprime == softmaxprime{'),
#             (29, '}'),
#             (31, 'ReLUPrime(float * y, float * dy_dz, int n);')])

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for commented-out-code, version 0.0.5
Filename, size File type Python version Upload date Hashes
Filename, size commented_out_code-0.0.5.tar.gz (5.2 kB) File type Source Python version None Upload date Hashes View
Filename, size commented_out_code-0.0.5-py3-none-any.whl (6.6 kB) File type Wheel Python version py3 Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page