bee-san

render() {
    return (
      <div className="container mt-5">
        <div className="row">
          <div className="col-md-4">
            <div className="card-deck">
              {this.state.books.map(movie => <MovieCard {...movie.fields} /> )}
            </div>
          </div>
        </div>

bee-san

n = 6

def recur_factorial(n):
   if n == 1:
       return n
   else:
       return n * recur_factorial(n-1)

print(recur_factorial(n))

bee-san

def F(n):
  if n == 0 or n == 1:
    return n
  else:
    return F(n-1)+F(n-2)

bee-san

n = 6

def recur_factorial(n):
   if n == 1:
       return n
   else:
       return n * recur_factorial(n-1)

print(recur_factorial(n))

bee-san

def f(n):
	if n == 0 or n == 1:
		return 1
	else:
		fibo = 1
		fibroPrev = 1
		for i in range (2, n):
			temp = fibo
			fibo = fibo + fiboPrev
			fiboPrev = temp

bee-san

def f(n):
	if n == 0 or n == 1:
		return 1

bee-san

n = 6

def recur_factorial(n):
   if n == 1:
       return n
   else:
       return n * recur_factorial(n-1)

print(recur_factorial(n))

bee-san

/*
A Lisitsa, 2019, The code below was taken without any changes from 
https://docs.oracle.com/javase/8/docs/technotes/guides/security/crypto/CryptoSpec.html#DH3Ex
*/
/*
 * Copyright (c) 1997, 2017, Oracle and/or its affiliates. All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions
 * are met:

bee-san

# Brandon Skerritt
# b.skerritt@liverpool.ac.uk

# reads in and renames the column names
table = read.table("sample1_in.txt", stringsAsFactors=FALSE, fill=TRUE)
colnames(table) = c("Timestamp", "Type", "Order-Id", "Side", "Price", "Size")
# total expense you would incur if you bought targetsize shares (by taking as many asksas necessary, lowest first), and
# the total income you would receive if you sold targetsize shares (by hitting as manybids as necessary, highest first)

# global variables bidBook and askBook

bee-san

table = read.table("sample1_in.txt", stringsAsFactors=FALSE, fill=TRUE)
colnames(table) = c("Timestamp", "Type", "Order-Id", "Side", "Price", "Size")
# get reduce rows
# table[input$Type == "R", ]
# get add rows
# input[input$Type == "A", ]
# cosmetic fix for reduce rows
# input[input$Type == 'r', 'Size'] = input[input$Type == 'r', 'Side']
# input[Input$Type == 'R', 'Side'] = NA
pricer <- function(infile, outfile, targetsize){