qrand = np.array( [[3, 32, -9, 12, -0.5, 3, -1.8], [ 2.2, -4, -14, -2.4, -6.4, 1.2, 0.0], [2, -42.42,-43.2, 25.2, -20.2, 5.3, 2.0], [-2.1, 3, -0.24, 3.2, 4.3, 1.4, -3.2], [-3.4, 2, 4.2, 2.2, -4.4, 5.9, 2.2], [1.12, 3.23, -0.42, 2.2, 9.3, 2.4, 6.12] ] #set variable m to *a* value m 2000 #use n and q for the x and y directions and if both arrays are negative in (x,y) multiply and add; #else subtract 3 from m for n in range( len( rands ) ): for q in range( len( rands[:, n ])): if (qrand[ n, q] < e) & (rands [n, n] < 0) : print("both elements are negative) m = m + grand[ n, n]* rands [ n, q ] else: mm 3 #get the final m: m = int(m/777) -1 #print note about where to Look next print('Push the red button next to the keyboard')

qrand = np.array( [[3, 32, -9, 12, -0.5, 3, -1.8], [ 2.2, -4, -14, -2.4, -6.4, 1.2, 0.0], [2, -42.42,-43.2, 25.2, -20.2, 5.3, 2.0], [-2.1, 3, -0.24, 3.2, 4.3, 1.4, -3.2], [-3.4, 2, 4.2, 2.2, -4.4, 5.9, 2.2], [1.12, 3.23, -0.42, 2.2, 9.3, 2.4, 6.12] ] #set variable m to a value m 2000 #use n and q for the x and y directions and if both arrays are negative in (x,y) multiply and add; #else subtract 3 from m for n in range( len( rands ) ): for q in range( len( rands[:, n ])): if (qrand[ n, q] < e) & (rands [n, n] < 0) : print("both elements are negative) m = m + grand[ n, n]* rands [ n, q ] else: mm 3 #get the final m: m = int(m/777) -1 #print note about where to Look next print('Push the red button next to the keyboard')

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Merge sort

Merge Sort recursively sorts a given collection of numbers or elements by using the divide and conquer strategy in less time. It is one of the most used algorithms, with the worst-case time complexity of O (n log n). It was invented by John Von Neumann. The algorithm continuously divides an array into sub-arrays until each sub-array consists of a single element. It then merges those sub-arrays to produce a sorted array.

Question

"""This is the code you see written on the screen
print (your_name + "m is next number you need. I hope I wrote this correctly:")
# get arrays:
rands
grand
=
=
np.array([[5, 12, 4, 32, -56, 33, 8], [ 22, -34, -45, 67, 6, 13, 20 ],
[4, -44, 42, 29, 3, 12, 27], [6, 13, 28, 36, 56, 32, 18],
[ 16, 33, 18, 4, 35, 67, 88], [1.2, 24, -727, 9, 16, 29, 48]])
np.array([[3, 32, -9, 12, -0.5, 3, -1.8], [ 2.2, -4, -14, -2.4, -6.4, 1.2, 0.0],
[2, -42.42, -43.2, 25.2, -20.2, 5.3, 2.0], [-2.1, 3, -0.24, 3.2, 4.3, 1.4, -3.2],
[-3.4, 2, 4.2, 2.2, -4.4, 5.9, 2.2], [1.12, 3.23, -0.42, 2.2, 9.3, 2.4, 6.12] ]
#set variable m to *a* value
m = 2000
#use n and q for the x and y directions and if both arrays are negative in (x,y) multiply and add;
#else subtract 3 from m
for n in range( len( rands ) ):
for q in range( len( rands [
:, n])):
if (grand[ n, q] < 0) & (rands [n, n] < 0) :
print("both elements are negative)
m = m + grand[ n, n]* rands [ n, q ] "
else:
m = m 3

qrand = np.array( [[3, 32, -9, 12, -0.5, 3, -1.8], [ 2.2, -4, -14, -2.4, -6.4, 1.2, 0.0],
[2, -42.42, -43.2, 25.2, -20.2, 5.3, 2.0], [-2.1, 3, -0.24, 3.2, 4.3, 1.4, -3.2],
[-3.4, 2, 4.2, 2.2, -4.4, 5.9, 2.2], [1.12, 3.23, -0.42, 2.2, 9.3, 2.4, 6.12]]
#set variable m to *a* value
m = 2000
#use n and q for the x and y directions and if both arrays are negative in (x,y) multiply and add;
#else subtract 3 from m
for n in range( len( rands ) ):
for qin range( len( rands[:, n])):
if (qrand[ n, q] < 0) & (rands [n, n] < 0) :
print("both elements are negative)
m = m + grand[ n, n] *rands [ n, q]'
else:
mm 3
#get the final m:
m = int(m/777 ) -1
#print note about where to Look next
print('Push the red button next to the keyboard')
Input In [1]
m = 2000
SyntaxError: invalid syntax

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