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@JustAyush
JustAyush / binarySearchTree.js
Created April 2, 2020 05:07
Binary Search Tree Implementation in JavaScript
// Try edit message
class Node {
constructor(value) {
this.value = value;
this.leftNode = null;
this.rightNode = null;
}
addNode(newNode) {
@JustAyush
JustAyush / stack.js
Created April 1, 2020 03:36
Implementation of Stack in JavaScript
// Try edit message
class Node {
constructor (value, nextNode) {
this.value = value,
this.nextNode = nextNode
}
}
class Stack {
// Local Imports
const nodemailer = require("nodemailer");
async function sendEmail(email, subject, body) {
let transporter = nodemailer.createTransport({
host: "smtp.gmail.com",
port: 587,
secure: false,
auth: {
user: "[email protected]",
// React
import React, {useState, useEffect} from "react";
// Material UI
import {
Typography,
Snackbar
} from "@material-ui/core";
import { makeStyles, useTheme } from "@material-ui/core/styles";
import useMediaQuery from "@material-ui/core/useMediaQuery";
{
<<<<<<< HEAD
"_args": [
[
"[email protected]",
"/home/ayushmania/React/foodgarden_backend-master"
]
],
"_from": "[email protected]",
=======
{
"message": [
{
"special":{
"special_name": "The Impossible Burger",
"special_price": "Rs. 800",
"special_imageUrl": "https://hips.hearstapps.com/hmg-prod.s3.amazonaws.com/images/impossible-burger-1556115116.jpg",
"special_details": "Based on calories, fat, fiber and sodium, Impossible Foods edged out Beyond Meat. However, when it comes to protein and saturated fat content, Beyond Meat had a slight advantage. Both options are vegan and gluten free. Both options are vegan and gluten free. Both options are vegan and gluten free."
},
from django import template
import json
import operator
register = template.Library()
@register.filter
def lowerCase(value):
try:
value = value.replace("\'", "\"")
x=mydb['userActivity'].aggregate([{"$match":{"user_id": 278893}},{"$project":{"activity":{"book_id":1,"activity":{"date_modified":1}}}},{"$unwind":"$activity"},{"$project":{"activity.book_id":1,"date_modified":"$activity.activity.date_modified"}},{"$sort":{"date_modified":-1}},{"$limit" : 1} ])
interaction_data=list(x)
book_id=interaction_data[0]['activity']['book_id']
books=mycol.find({"ISBN":book_id})
book=list(books)
book13isbn = book[0]['']
le.inverse_transform([88])
x=mydb['bookDataset'].aggregate([{"$match":{"isbn13": {"$in":book_list}}},{"$project":{"isbn_13":{"book_id":1,"activity":{"date_modified":1}}}},{"$unwind":"$activity"},{"$project":{"activity.book_id":1,"date_modified":"$activity.activity.date_modified"}},{"$sort":{"date_modified":-1}},{"$limit" : 1} ])
embedding_size = 5
# creating book embedding path
book_input = Input(shape=[1], name="Book-Input")
book_embedding = Embedding(n_books2, embedding_size, name="Book-Embedding")(book_input)
# book_vec = Flatten(name="Flatten-Books")(book_embedding)
book_vec = Reshape([embedding_size])(book_embedding)
# creating user embedding path
import React, {Component} from 'react';
import {Platform, StyleSheet, View,
FlatList, ScrollView, Image, ActivityIndicator,
TouchableOpacity, Alert, Button } from 'react-native';
import { Container, Item, Input, Icon, Text, Card,
Thumbnail, CardItem, Body, Left, Right, Textarea, Form, Header, Content, Footer } from 'native-base';
import StarRating from 'react-native-star-rating';