Number Function Type

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The Number Function Type allows you to generate various types of random numbers. These functions help in creating data for different scenarios where random numerical values are required.

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Prerequisites

Before you begin, ensure that you have referred to:

• Documentation on creating test cases.
• Documentation on creating test steps.
• Documentation on adding data generators in test steps.

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Selecting Number as a Function Type for Data Generator

1. From the left navigation bar, go to Create Tests > Test Cases and create a new test case.

2. Use NLP to create a new step in the test case and include a placeholder for test data.

3. Click on the test data placeholder. From the Test Data Types dropdown menu, select the ! Data Generator option.

4. On the ! Data Generators overlay screen, select the Type to Default. This will enable you to use a collection of built-in test data generators.

5. Select Number from the Function Type dropdown list.

NOTE

This action will display a list of built-in functions associated with the Number function type, enabling you to select the appropriate function based on your requirements.

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Random Number

• Enables you to generate a random number between a specified range. It is useful for creating random data samples within a specific numeric range.

ℹ️Example:

Input	Output
min: 1 max: 100	73
min: 10 max: 50	32
min: 100 max: 500	418
min: 5 max: 20	15

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Random Digit

• Allows you to generate a random digit between 0 and 9. This is helpful for scenarios where single-digit numbers are required, like generating a random OTP.

ℹ️Example:

• Input: None (This function does not require any specific input)
• Output:
• 7
• 3
• 0
• 9

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Random Digit Not Zero

• Enables you to generate a random digit between 1 and 9. This is useful for cases where zero is not a valid digit, such as generating unique identification codes.

ℹ️Example:

• Input: None (This function does not require any specific input)
• Output:
• 6
• 8
• 3
• 1

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Number of Digits

• Allows you to generate a number with a specified number of digits. This is useful for generating identification numbers or codes of a fixed length.

ℹ️Example:

Input	Output
Digits: 5 Boolean: True	39485
Digits: 4 Boolean: False	-3276
Digits: 3 Boolean: True	821
Digits: 6 Boolean: False	-491257

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Random Number

• Enables you to generate a random number without specifying any range. It is useful for generating random numerical data without any constraints.

ℹ️Example:

• Input: None (This function does not require any specific input)
• Output:
• 845
• 129
• 4567
• 901

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Random Double

• Allows you to generate a random decimal number within a specified range and with a specified number of decimal places. This is useful for scenarios requiring floating-point numbers, such as price or measurement data.

ℹ️Example:

Inputs	Outputs
Max No of Decimals: 2 Min: 1.5 Max: 5.5	3.47
Max No of Decimals: 3 Min: 10.1 Max: 20.5	15.234
Max No of Decimals: 1 Min: 100.0 Max: 200.0	145.7
Max No of Decimals: 4 Min: 0.1 Max: 1.0	0.7564

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Digits

• Enables you to generate a random number with a specified count of digits, which is useful for creating data where numbers of a specific digit length are required, like serial numbers.

ℹ️Example:

Inputs	Outputs
Count: 3	593
Count: 5	48291
Count: 2	47
Count: 6	384719

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Digit

• Allows you to generate a random number with a fixed length using this feature, which is useful for generating small, single-digit random numbers.

ℹ️Example:

• Input: None (This function does not require any specific input)
• Output:
• 6
• 4
• 7
• 2

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