根据提供的实验报告内容，以下是每个实验对应的Python代码实现： ### 实验1: 成语接龙 ```python def chengyu_jielong(words): if not words or len(words) < 5: return "需要提供不少于5个成语" result = [words[0]] for i in range(1, len(words)): current_word = words[i] last_word = result[-1] if len(current_word) != 4 or len(last_word) != 4: return "成语必须由四个字符组成" if current_word[0] == last_word[-1]: result.append(current_word) else: print(f"成语 {current_word} 不符合接龙规则") return result # 测试例子 words_list = ["一箭双雕", "雕虫小技", "技压群雄", "雄心壮志", "志同道合"] print(chengyu_jielong(words_list)) ``` ### 实验2: 合并并去重列表 ```python def merge_and_deduplicate(list1, list2): seen = set() merged_list = [] def add_unique(item): if item not in seen: seen.add(item) merged_list.append(item) for item in list1 + list2: add_unique(item) return merged_list # 测试例子 list1 = [1, 3, 2, 5] list2 = [2, 4, 3, 6] print(merge_and_deduplicate(list1, list2)) ``` ### 实验3: 按条件筛选元素 ```python def filter_elements(lst): filtered = [ element for index, element in enumerate(lst) if element % 2 == 0 or index % 2 == 1 ] return filtered # 测试例子 input_list = [3, 8, 2, 5, 4, 7] print(filter_elements(input_list)) ``` ### 实验4: 列表与元组的混合处理 ```python from collections import OrderedDict def process_mixed_lists(list1, list2): processed_items = [] def process_item(item): if isinstance(item, tuple): return list(item) elif isinstance(item, int) and item % 2 == 0: return item + 10 else: return item all_items = list1 + list2 ordered_dict = OrderedDict.fromkeys(all_items, None) unique_items = list(ordered_dict.keys()) for item in unique_items: processed_items.append(process_item(item)) return processed_items # 测试例子 list1 = [2, (3, 5), 4] list2 = [4, 6, [7, 8]] print(process_mixed_lists(list1, list2)) ``` 这些代码实现了实验报告中描述的功能，并遵循了相应的规则和限制条件。你可以直接运行这些代码来验证其正确性。如果有任何问题或者需要进一步的帮助，请告诉我！