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Cars, Assemble!

# Cars, Assemble!

Learning Exercise

## Introduction

### Numbers

There are two different types of numbers in C#:

• Integers: numbers with no digits behind the decimal separator (whole numbers). Examples are `-6`, `0`, `1`, `25`, `976` and `500000`.
• Floating-point numbers: numbers with zero or more digits behind the decimal separator. Examples are `-2.4`, `0.1`, `3.14`, `16.984025` and `1024.0`.

The two most common numeric types in C# are `int` and `double`. An `int` is a 32-bit integer and a `double` is a 64-bit floating-point number.

Arithmetic is done using the standard arithmetic operators. Numbers can be compared using the standard numeric comparison operators and the equality (`==`) and inequality (`!=`) operators.

C# has two types of numeric conversions:

1. Implicit conversions: no data will be lost and no additional syntax is required.
2. Explicit conversions: data could be lost and additional syntax in the form of a cast is required.

As an `int` has less precision than a `double`, converting from an `int` to a `double` is safe and is thus an implicit conversion. However, converting from a `double` to an `int` could mean losing data, so that requires an explicit conversion.

### If Statements

In this exercise you must conditionally execute logic. The most common way to do this in C# is by using an `if/else` statement:

``````int x = 6;

if (x == 5)
{
// Execute logic if x equals 5
}
else if (x > 7)
{
// Execute logic if x greater than 7
}
else
{
// Execute logic in all other cases
}
``````

The condition of an `if` statement must be of type `bool`. C# has no concept of truthy values.

## Instructions

In this exercise you'll be writing code to analyze the production of an assembly line in a car factory. The assembly line's speed can range from `0` (off) to `10` (maximum).

At its lowest speed (`1`), `221` cars are produced each hour. The production increases linearly with the speed. So with the speed set to `4`, it should produce `4 * 221 = 884` cars per hour. However, higher speeds increase the likelihood that faulty cars are produced, which then have to be discarded.

### 1. Calculate the success rate

Implement the (static) `AssemblyLine.SuccessRate()` method to calculate the ratio of an item being created without error for a given speed. The following table shows how speed influences the success rate:

• `0`: 0% success rate.
• `1` to `4`: 100% success rate.
• `5` to `8`: 90% success rate.
• `9`: 80% success rate.
• `10`: 77% success rate.
``````AssemblyLine.SuccessRate(10)
// => 0.77
``````

### 2. Calculate the production rate per hour

Implement the (static) `AssemblyLine.ProductionRatePerHour()` method to calculate the assembly line's production rate per hour, taking into account its success rate:

``````AssemblyLine.ProductionRatePerHour(6)
// => 1193.4
``````

Note that the value returned is a `double`.

### 3. Calculate the number of working items produced per minute

Implement the (static) `AssemblyLine.WorkingItemsPerMinute()` method to calculate how many working cars are produced per minute:

``````AssemblyLine.WorkingItemsPerMinute(6)
// => 19
``````

Note that the value returned is an `int`.

Last updated 31 May 2023
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