* Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

-       unsigned char __uc;						      \
-     } *__u = __s;							      \
-     __uint8_t __c = (__uint8_t) (c);					      \
-									      \
-     /* This `switch' statement will be removed at compile-time.  */	      \
-     switch ((unsigned int) (n))					      \
-       {								      \
-       case 15:								      \
-	 __u->__ui = __c * 0x01010101;					      \
-	 __u = __extension__ ((void *) __u + 4);			      \

            const username = context.payload.pull_request.user.login;
            const domain = await script.get_email_domain({github, username});
            switch(domain) {
            case "intel.com":
              console.log(await script.filter({github, context, domain}));
              break;
            case "apple.com":