sarath-soman

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import { z } from "zod";

// User Schema using Zod
// Principle 4: Separating data schema from data representation
// The schema is defined using Zod, allowing us to validate the structure of User data independently of its representation in the program.
const UserSchema = z.object({
  id: z.number(),
  name: z.string(),
  age: z.number(),

sarath-soman

# Keycloak containers doesn't come with curl or wget in it, this forces the users to use alternative mechanisms to realise 
# health check for the keycloak standard containers. This example leverages the capability of modern Java to dynamically 
# compile a *.java source file and execute it on the fly using the `java` command. The HealthCheck class uses
# java.net.URL to open a connection to the `health/live` endpoint of keycloak and exits the process with a non-zero status 
# if the http status is not `Ok`
version: '3'
services:
  ############################
  # Keycloak service
  ############################

sarath-soman

sealed trait SKI
case object S extends SKI
case object K extends SKI
case object I extends SKI
case class APP(x: SKI, y: SKI) extends SKI
case class VAR(v: String) extends SKI


object SKI {

sarath-soman

package kjug;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.DoubleStream;
import java.util.stream.IntStream;

/**

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#!/usr/bin/env python3
"""
Linear regression learning algorithm
"""

class LinearRegression:

    def train(self, x, y):
        """
        Trains a linear model from the data set

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class Node:
    """Node represents a single node of a linked list"""

    def __init__(self, val):
        self.val = val
        self.next = None

    def __str__(self):
        return str(self.val) + " -> " + str(self.next)

sarath-soman

package ast

import (
	"fmt"
)

type NumericConstant struct {
	Value string
	Type int
}