Семантические действия

lab5/programm/grammar.py

@@ -1,6 +1,7 @@
 import random
 import re
 from collections import OrderedDict
+from typing import Callable
 
 from prettytable import PrettyTable
 
@@ -8,7 +9,11 @@ from prettytable import PrettyTable
 class Grammar:
     EPSILON: str = "epsilon"
 
-    def __init__(self, text: str):
+    def __init__(
+        self,
+        text: str,
+        semantic_action: Callable[[int, tuple[str, list[str]]], None] | None = None,
+    ):
         self.productions: OrderedDict[str, list[list[str]]] = OrderedDict()
         self.start_symbol: str = ""
         self._parse_productions(text)
@@ -33,6 +38,9 @@ class Grammar:
                 self.rule_numbers[(nt, tuple(rule))] = rule_idx
                 rule_idx += 1
 
+        # Semantic action callback
+        self.semantic_action = semantic_action
+
     def _parse_productions(self, text: str):
         for line in text.splitlines():
             line = line.strip()
@@ -309,6 +317,10 @@ class Grammar:
                     rule_number = self.rule_numbers[(top, tuple(production))]
                     rules_applied.append(rule_number)
 
+                    # Execute semantic action if provided
+                    if self.semantic_action:
+                        self.semantic_action(rule_number, (top, production))
+
                     # Добавляем правило в стек в обратном порядке
                     for symbol in reversed(production):
                         stack.append(symbol)
@@ -399,3 +411,25 @@ class Grammar:
                 steps.append(current)
 
         return steps
+
+
+class ActionsList:
+    def __init__(self, actions: list[Callable[[int, tuple[str, list[str]]], None]]):
+        self.actions = actions
+
+    def __call__(self, rule_number: int, rule_tuple: tuple[str, list[str]]) -> None:
+        self.actions[rule_number - 1](rule_number, rule_tuple)
+
+
+class ActionsListWithAppliedCount:
+    def __init__(
+        self, actions: list[Callable[[int, int, tuple[str, list[str]]], None]]
+    ):
+        self.actions = actions
+        self.applied_counters = [0] * len(actions)
+
+    def __call__(self, rule_number: int, rule_tuple: tuple[str, list[str]]) -> None:
+        self.applied_counters[rule_number - 1] += 1
+        self.actions[rule_number - 1](
+            rule_number, self.applied_counters[rule_number - 1], rule_tuple
+        )

lab5/programm/main.py

@@ -1,11 +1,30 @@
-from grammar import Grammar
+from grammar import ActionsListWithAppliedCount, Grammar
 
 
 def load_grammar(filename: str = "grammar.txt") -> Grammar | None:
     try:
+        # #b - 2 * #a + 3 * #c
+        actions = [
+            lambda rule_number, applied_count, _: print(
+                f"Rule #{rule_number} (applied x{applied_count} times): iconst_1"
+            ),
+            lambda rule_number, applied_count, _: print(
+                f"Rule #{rule_number} (applied x{applied_count} times): iconst_2 isub"
+            ),
+            lambda rule_number, applied_count, _: print(
+                f"Rule #{rule_number} (applied x{applied_count} times): iconst_1 iadd"
+            ),
+            lambda rule_number, applied_count, _: print(
+                f"Rule #{rule_number} (applied x{applied_count} times): iconst_1 iadd"
+            ),
+            lambda rule_number, applied_count, _: print(
+                f"Rule #{rule_number} (applied x{applied_count} times): iconst_3 iadd"
+            ),
+        ]
+
         with open(filename, "r", encoding="utf-8") as file:
             text = file.read()
-        grammar = Grammar(text)
+        grammar = Grammar(text, ActionsListWithAppliedCount(actions))
 
         # Сохраняем информацию о грамматике в файлы
         with open("grammar_rules.txt", "w", encoding="utf-8") as output_file:
@@ -40,7 +59,6 @@ def load_grammar(filename: str = "grammar.txt") -> Grammar | None:
 
 
 def tokenize_string(input_string: str) -> list[str]:
-    input_string = input_string.replace(",", " , ").replace(".", " . ")
     return input_string.split()
 
 
@@ -52,15 +70,6 @@ def check_string(grammar: Grammar | None, input_string: str) -> None:
     print(f"Проверка строки: '{input_string}'")
     try:
         input_tokens = tokenize_string(input_string)
-
-        if not input_tokens:
-            parse_result = grammar.analyze(input_tokens)
-        else:
-            try:
-                input_tokens[0] = input_tokens[0][0].lower() + input_tokens[0][1:]
-                parse_result = grammar.analyze(input_tokens)
-            except ValueError as e:
-                input_tokens[0] = input_tokens[0][0].upper() + input_tokens[0][1:]
         parse_result = grammar.analyze(input_tokens)
 
         print(f"Результат: Строка соответствует грамматике")
@@ -86,15 +95,6 @@ def check_string(grammar: Grammar | None, input_string: str) -> None:
         print(f"Произошла ошибка при анализе: {e}")
 
 
-def post_process_string(string: str) -> str:
-    if string:
-        string = string[0].upper() + string[1:]
-    string = string.replace(" ,", ",")
-    string = string.replace(" .", ".")
-    string = string.replace(",.", ".")
-    return string
-
-
 def generate_string(grammar: Grammar | None) -> None:
     if not grammar:
         print("Ошибка: Грамматика не загружена")
@@ -103,7 +103,6 @@ def generate_string(grammar: Grammar | None) -> None:
     try:
         terminals, rules = grammar.generate()
         generated_string = " ".join(terminals)
-        generated_string = post_process_string(generated_string)
         print(f"Сгенерированная строка: {generated_string}")
         print(f"Применённые правила: {rules}")