ComfyUI  >  Nodes  >  Efficiency Nodes for ComfyUI Version 2.0+ >  Evaluate Floats

ComfyUI Node: Evaluate Floats

Class Name

Evaluate Floats

Category
Efficiency Nodes/Simple Eval
Author
jags111 (Account age: 3922 days)
Extension
Efficiency Nodes for ComfyUI Version 2.0...
Latest Updated
8/7/2024
Github Stars
0.8K

How to Install Efficiency Nodes for ComfyUI Version 2.0+

Install this extension via the ComfyUI Manager by searching for  Efficiency Nodes for ComfyUI Version 2.0+
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Efficiency Nodes for ComfyUI Version 2.0+ in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Evaluate Floats Description

Evaluate mathematical expressions with floating-point numbers, supporting multiple result formats and console printing.

Evaluate Floats:

The Evaluate Floats node is designed to evaluate mathematical expressions involving floating-point numbers, providing a versatile tool for AI artists to perform complex calculations within their workflows. This node leverages the simpleeval library to interpret and compute expressions that can include variables a, b, and c. The primary benefit of this node is its ability to return the result in multiple formats: integer, float, and string, making it adaptable for various downstream processes. Additionally, it offers an option to print the results to the console, which can be useful for debugging and verification purposes. This node is essential for scenarios where precise numerical computations are required, enhancing the efficiency and flexibility of your creative projects.

Evaluate Floats Input Parameters:

python_expression

This parameter takes a string representing the mathematical expression to be evaluated. The expression can include the variables a, b, and c, which are defined by the corresponding input parameters. The function of this parameter is to specify the calculation you want to perform. There are no strict minimum or maximum values for this parameter, but it must be a valid mathematical expression that simpleeval can interpret.

This boolean parameter determines whether the results of the evaluation should be printed to the console. If set to "True", the node will output the results in the console, which can be helpful for debugging. The default value is "False".

a

This parameter represents the value of the variable a in the mathematical expression. It is a floating-point number that can be used within the python_expression. The default value is 0. There are no strict minimum or maximum values, but it should be a valid float.

b

This parameter represents the value of the variable b in the mathematical expression. It is a floating-point number that can be used within the python_expression. The default value is 0. There are no strict minimum or maximum values, but it should be a valid float.

c

This parameter represents the value of the variable c in the mathematical expression. It is a floating-point number that can be used within the python_expression. The default value is 0. There are no strict minimum or maximum values, but it should be a valid float.

Evaluate Floats Output Parameters:

int_result

This output parameter provides the result of the evaluated expression as an integer. It is useful when you need the result in a whole number format for further processing or integration with other nodes that require integer inputs.

float_result

This output parameter provides the result of the evaluated expression as a floating-point number. It is essential for scenarios where precision is crucial, and the result needs to be in a decimal format.

string_result

This output parameter provides the result of the evaluated expression as a string. This format is useful for logging, display purposes, or when the result needs to be concatenated with other strings.

Evaluate Floats Usage Tips:

  • Use the print_to_console parameter set to "True" during the initial setup and debugging phase to verify that your expressions are being evaluated correctly.
  • Define the variables a, b, and c with meaningful values that align with your specific use case to ensure accurate calculations.
  • Utilize the different output formats (integer, float, string) based on the requirements of subsequent nodes or processes in your workflow.

Evaluate Floats Common Errors and Solutions:

Invalid expression error

  • Explanation: This error occurs when the python_expression contains invalid syntax or unsupported operations.
  • Solution: Ensure that the expression is a valid mathematical formula and only includes supported operations and variables (a, b, c).

Division by zero error

  • Explanation: This error happens when the expression involves division by zero.
  • Solution: Check your expression and input values to avoid division by zero scenarios. Ensure that the denominator in any division operation is not zero.

TypeError: unsupported operand type(s)

  • Explanation: This error occurs when the expression includes operations between incompatible types.
  • Solution: Verify that all variables and constants in the expression are of compatible types (e.g., all should be numbers).

ValueError: could not convert string to float

  • Explanation: This error happens when the input parameters a, b, or c are not valid floating-point numbers.
  • Solution: Ensure that the values provided for a, b, and c are valid floats. Check for any non-numeric characters or invalid formats.

Evaluate Floats Related Nodes

Go back to the extension to check out more related nodes.
Efficiency Nodes for ComfyUI Version 2.0+
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