yovasx2

#!usr/bin/ruby

# The night sky can be modeled as an infinite 2D plane. There are N stars at distinct positions on this plane, the ith of which is at coordinates (Xi, Yi).

# A boomerang constellation is a pair of distinct equal-length line segments which share a single endpoint, such that both endpoints of each segment coincide with a star's location.

# Two boomerang constellations are distinct if they're not made up of the same unordered pair of line segments. How many distinct boomerang constellations can you spot?

# Input Format

yovasx2

# TODO: Define your network architecture here
import torch
from torch import nn
from torch import optim
from torchvision import datasets, transforms
import helper

# Define a transform to normalize the data
transform = transforms.Compose([transforms.ToTensor(),
                                transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])

yovasx2

# Build a queue class with the enqueue and dequeue methods.
# The queue can store an *UNLIMITED* number of elements but you are limited to using arrays that can store up to 5 elements max
# 1# [3,4,5] 2# [6,7,8,9,10] 3# [11,12,13]
# [1#, 2#, 3#, 4#, 5#] [6#, ]

class Node
    SIZE_LIMIT = 5.freeze
    
    attr_accessor :value
    attr_accessor :_next

yovasx2

# "Fruit": 2.15,
# "Fries": 2.75,
# "Salad": 3.35,
# "Wings": 3.55,
# "Mozzarella": 4.20,
# "Plate": 5.80,

# 4.30 -> [["Fruit", "Fruit"]]

# possibleOrders(5.50) -> [["Fries", "Fries"], ["Fruit", "Salad"]]

yovasx2

// Create the iframe element
var iframe = document.createElement("iframe");

// Set the source URL for the iframe
iframe.src = "https://www.example.com";

// Set any additional attributes or styles for the iframe
iframe.setAttribute("width", "100%");
iframe.setAttribute("height", "400px");
iframe.setAttribute("frameborder", "0");