cloudlakecho

from PIL import Image
import sys
import os
import pdb
import urllib
from posix_ipc import *
from mmap import *
import subprocess

# Python modules

cloudlakecho

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

#
# SPDX-License-Identifier: GPL-3.0
#
# Rx_Warmup_Automated.py - To warm up USRP
#
# GNU Radio Python Flow Graph
# Title: Warmup Receiver

cloudlakecho

# Steven Van Dorpe, Aug 13, 2018
# 
# Reference: 
#     https://towardsdatascience.com/kafka-python-explained-in-10-lines-of-code-800e3e07dad1

from time import sleep
from json import dumps
from kafka import KafkaProducer

cloudlakecho

# test_kafka_consumer.py - Receiving data and save in database
# Steven Van Dorpe
#
# How to run this code:
# (1) Run Zookeeper
#      $ cd /usr/local/bin/kafka_2.13-3.4.0/
#      $ bin/zookeeper-server-start.sh config/zookeeper.properties
#  (2) Run Kafka server
#      $ bin/kafka-server-start.sh config/server.properties

cloudlakecho

"""
Title: Text generation with a miniature GPT
Author: [Apoorv Nandan](https://twitter.com/NandanApoorv)
Date created: 2020/05/29
Last modified: 2020/05/29
Description: Implement a miniature version of GPT and train it to generate text.
Accelerator: GPU
"""
# Reference:
#     code: https://github.com/keras-team/keras-io/blob/master/examples/generative/text_generation_with_miniature_gpt.py