Answer:
The program to this question as follows:
Program:
targetValue = 0.3333 #defining variable targetValue and assign value
sensorReading = 0.0 #defining variable sensorReading and assign value
sensorReading = 1.0/3.0 #calculate value in sensorReading variable
Val=sensorReading - targetValue
#calculate the difference and store in Val variable
if (Val < 0.0001): #use of if block to check condition
print ("Equal") #print value
else: #else block
print ("Not equal") #print value
Output:
Equal
Explanation:
In the above Python program code, there are two variables "targetValue and sensorReading" is defined, in which targetValue store a value, that is "0.3333", and sensorReading holds a value, that is "0.0".
- In the next step, the "Val" variable is defined, that calculate the difference between both variable, that conditional statement is used.
- In if block, if the value is less then "0.0001", it will print value "Equal", otherwise, it will go to the else block, that will print "Not equal".
The format to use in drawing the Hierarchical input process output chart to show a high - level view of the functions of the proposed system is given in the image attached.
<h3>What is hierarchical input process output?</h3>
An HIPO model is known to be a form of hierarchical input process output model that helps in systems analysis design and also in documentation .
Note that it is often used for depicting the modules of a system based on the use of hierarchy and for saving each module and thus by following the method used in the image attached, one can draw a Hierarchical input process output ( HIPO ) chart to represent a high - level view of the functions of the proposed system.
Learn more about HIPO from
brainly.com/question/2665138
#SPJ1
Shuffle (A[1..m], B[1..n], C[1..m+n]):
Shuf[0, 0] ← True
for j ← 1 to n
Shuf[0, j] ← Shuf[0, j − 1] ∧ (B[j] = C[j])
for i ← 1 to n
Shuf[i, 0] ← Shuf[i − 1, 0] ∧ (A[i] = B[i])
for j ← 1 to n
Shuf[i, j] ← False
if A[i] = C[i + j]
Shuf[i, j] ← Shuf[i, j] ∨ Shuf[i − 1, j]
if B[i] = C[i + j]
Shuf[i, j] ← Shuf[i, j] ∨ Shuf[i, j − 1]
return Shuf[m, n]
The algorithm runs in O(mn) time.
The Multi-Channel Funnels reports are generated from conversion paths, the sequences of interactions (i.e., clicks/referrals from channels) that led up to each conversion and transaction. In the reports, channels are credited according to the roles they play in conversions—how often they assisted and/or completed sales and conversions.
<span>The Rex robot imitates the dinosaur
perfectly. In terms of its structure, the robot looks like a dinosaur, and this
is seen in the robot’s serrated teeth. To some extent, the robot imitates the
cheetah due to its speed ability.</span>