package com.example.catalog.web;
import com.example.catalog.domain.Product;
import java.math.BigDecimal;
public record ProductResponse(
import { z } from 'zod';
export const signupSchema = z
.object({
email: z.string().min(1, 'Email is required').email('Enter a valid email'),
username: z
package api
import "strings"
type Issue struct {
Field string `json:"field"`
class AddressForm
include ActiveModel::Model
include ActiveModel::Attributes
attribute :line1, :string
attribute :line2, :string
const MAX_LIMIT = 100;
const DEFAULT_LIMIT = 20;
const ALLOWED_ORDER = new Set(['asc', 'desc']);
function decodeCursor(raw) {
const json = Buffer.from(raw, 'base64').toString('utf8');
class CommentsController < ApplicationController
before_action :set_post
def new
@comment = @post.comments.build
end
use serde::{Deserialize, Deserializer};
#[derive(Debug, Deserialize)]
pub struct ListFilter {
#[serde(default)]
pub status: Status,
import torch
best_val_loss = float('inf')
for epoch in range(1, num_epochs + 1):
model.train()
const multer = require('multer');
const ALLOWED_MIME = new Set(['image/jpeg', 'image/png', 'image/webp']);
function fileFilter(req, file, cb) {
if (!ALLOWED_MIME.has(file.mimetype)) {
import great_expectations as gx
context = gx.get_context()
data_source = context.data_sources.add_pandas(name='training_data')
asset = data_source.add_dataframe_asset(name='churn_asset')
batch_definition = asset.add_batch_definition_whole_dataframe('full_dataframe')
import { Injectable } from '@angular/core';
import { FormBuilder, FormGroup, Validators } from '@angular/forms';
@Injectable()
export class SignupFormService {
readonly form: FormGroup;
import enum
import datetime as dt
from sqlalchemy import Column, Integer, String, BigInteger, Enum, DateTime
from sqlalchemy.orm import declarative_base