deep5050

var bytesToSize = function (a, b) {
	if (0 === a) return "0 Bytes";
	var c = 1024, d = b || 2, e = ["Bytes", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB"],
		f = Math.floor(Math.log(a) / Math.log(c));
	return parseFloat((a / Math.pow(c, f)).toFixed(d)) + " " + e[f]
}

deep5050

import numpy as np
import matplotlib.pyplot as plt

np.random.seed(100)


class Layer:
    """
    Represents a layer (hidden or output) in our neural network.
    """

deep5050

# Dipankar Pal (25th sep 2019)

import queue


class node(object):
    def __init__(self, name, balance):
        self.name = name
        self.temp_state = []
        self.recorded_state = []

deep5050

deep5050

deep5050

----------------------------------------------------------------------------------------------------------------------------
graph initiator
----------------------------------------------------------------------------------------------------------------------------

#include<stdio.h>
#include<stdlib.h>
int main()
{
	int n,**adj,incount0=0,i,j,*source,*non_sink,i1=0,i2=0;
	printf("\nEnter number of nodes:");

deep5050

-------------------------------------------------
graph initiator






import sys
from Graph import Graph

deep5050

#include<stdio.h>
#include<stdlib.h>
#include<unistd.h>
#include<sys/socket.h>
#include<sys/types.h>
#include<string.h>
#include <netdb.h> 
#include <netinet/in.h> 
#include <arpa/inet.h> 
#include<signal.h>

deep5050

#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netdb.h>
#include <string.h>
#include <netinet/in.h>
#include <arpa/inet.h>
#include <signal.h>

deep5050

#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <sys/socket.h>
#include <sys/types.h>
#include <string.h>
#include <netdb.h>
#include <netinet/in.h>
#include <arpa/inet.h>
#include <signal.h>