Implementing interpreter mode using Python

The interpreter pattern is a behavioral design pattern used to define the grammar of a language and design an interpreter that can interpret and execute specific language expressions. Implementing the interpreter pattern in Python requires defining the following key components: 1. Abstract Expression: Define an abstract interpreter interface and declare the interpretation methods that the interpreter needs to implement. 2. Terminal Expression: Inherits abstract expressions and implements specific interpretation methods. 3. Non Terminal Expression: Inherits abstract expressions and implements interpretation methods for complex expressions. 4. Environment class (Context): Stores contextual information interpreted by the interpreter. 5. Client: Create and configure an interpreter, call interpretation methods for interpretation. Below is a simple example to illustrate how to implement interpreter patterns using Python. python #Defining Abstract Expressions class Expression: def interpret(self, context): pass #Terminator expression class TerminalExpression(Expression): def interpret(self, context): #Implement specific interpretation methods return context.upper() #Non-terminal expression class NonTerminalExpression(Expression): def interpret(self, context): #Implementation of Interpretation Methods for Complex Expressions return context.lower() #Environmental category class Context: def __init__(self, context): self._context = context def get_context(self): return self._context def set_context(self, context): self._context = context #Client if __name__ == '__main__': context = Context("Hello World") expressions = [TerminalExpression(), NonTerminalExpression()] for expression in expressions: result = expression.interpret(context.get_context()) print(f"{expression.__class__.__name__}: {result}") In the above example, we defined an abstract expression class that declares the interpretive method interpret(). Then, a terminal expression and a non terminal expression were implemented, each implementing specific interpretation methods. Next, an environment class (Context) was defined to store contextual information interpreted by the interpreter. In the client, we created an environment object and defined multiple interpreter objects (terminators and non terminators), then traversed the interpreter object, called the interpret() method for interpretation, and printed the results. The output result is: TerminalExpression: HELLO WORLD NonTerminalExpression: hello world This example demonstrates how to use Python to implement the interpreter pattern, interpreting given contextual information by defining terminator and non terminator expressions. You can extend expression classes as needed and add more explanation methods to achieve more complex syntax explanations.