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∧ (Boolean AND)

The ∧ (Boolean AND) node performs a logical AND operation on two boolean inputs and outputs the result. It returns true only if both input values are true, and false otherwise.

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Inputs

  1. a (boolean): The first boolean value. Defaults to false.
  2. b (boolean): The second boolean value. Defaults to false.

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Outputs

  1. result (boolean): The result of the logical AND operation on the two input values.

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Configuration

This node has no configuration options.

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Usage

To use the ∧ (Boolean AND) node:

  1. Add the node to your spell.
  2. Connect the desired boolean values to the a and b input ports.
  3. The result output port will emit true if both a and b are true, and false otherwise.

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Example

Suppose you have a spell that needs to check if a user is logged in and has admin privileges before granting access to a restricted area. You can use the ∧ (Boolean AND) node to combine the results of these two conditions.

[Is User Logged In?] --> a[∧]
[Is User Admin?] ------> b[∧]result ---> [Grant Access?]

In this example, the ∧ node takes the boolean outputs from the “Is User Logged In?” and “Is User Admin?” nodes. If both conditions are true, the result will be true, and the “Grant Access?” node will receive this value to determine whether to allow the user into the restricted area.

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Best Practices

  • Make sure to connect both input ports to boolean values before running the spell to avoid unexpected behavior.
  • Use the ∧ node when you need to check multiple conditions and only proceed if all of them are true.

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Common Issues

  • If either of the input ports is not connected, the node will use the default value of false, which may lead to unintended results. Always double-check your connections.
  • Be aware that the ∧ node only outputs true when both inputs are true. If you need more complex logic, consider using a combination of other boolean nodes like ∨ (Boolean OR) or ¬ (Boolean NOT).

By using the ∧ (Boolean AND) node, you can easily combine multiple boolean conditions in your spells and create more sophisticated decision-making logic.