"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 07:31:29.710408
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine that can process a set of rules and apply them to solve problems.
    This is a basic implementation and may not cover all sophisticated reasoning scenarios.
    """

    def __init__(self):
        self.rules: List[Dict[str, any]] = []

    def add_rule(self, rule: Dict[str, any]) -> None:
        """
        Add a new rule to the engine.

        :param rule: A dictionary representing a rule with conditions and actions
        """
        self.rules.append(rule)

    def process_input(self, input_data: any) -> List[Dict[str, any]]:
        """
        Process an input using the rules in the engine. Return matching rules or actions based on the input.

        :param input_data: Data to be processed by the rules.
        :return: A list of rules that match the input data
        """
        matching_rules = []
        for rule in self.rules:
            if all(condition(input_data) for condition in rule['conditions']):
                matching_rules.append(rule)
        return matching_rules


# Example usage:

def is_even(number: int) -> bool:
    """Check if a number is even."""
    return number % 2 == 0


def is_positive(number: int) -> bool:
    """Check if a number is positive."""
    return number > 0


def increment_number_by_one(number: int) -> int:
    """Increment a number by one."""
    return number + 1


# Creating the reasoning engine
reasoning_engine = ReasoningEngine()

# Adding rules to the engine
reasoning_engine.add_rule({
    'conditions': [is_even, is_positive],
    'actions': increment_number_by_one,
})

# Input data
input_data = {
    'number': 4
}

# Processing input
results = reasoning_engine.process_input(input_data)
for result in results:
    action_function = result['actions']
    print(action_function(input_data['number']))  # Should output 5
```