python作业

  1. **函数级的封装**:

```python

import random

def generate_random_data(data_structure):

if isinstance(data_structure, int):

return random.randint(0, data_structure)

elif isinstance(data_structure, float):

return random.uniform(0, data_structure)

elif isinstance(data_structure, list):

return [generate_random_data(item) for item in data_structure]

elif isinstance(data_structure, dict):

return {key: generate_random_data(value) for key, value in data_structure.items()}

else:

return None

使用修饰器进行扩展功能

def add_prefix(func):

def wrapper(*args, **kwargs):

result = func(*args, **kwargs)

return f"Random Data: {result}"

return wrapper

@add_prefix

def generate_random_data_wrapper(data_structure):

return generate_random_data(data_structure)

测试函数

data_structure = [1, 2, {'a': 3, 'b': [4, 5]}, 6]

random_data = generate_random_data_wrapper(data_structure)

print(random_data)

```

  1. **类的封装**:

```python

import random

class RandomDataGenerator:

def init(self):

pass

def generate_random_data(self, data_structure):

if isinstance(data_structure, int):

return random.randint(0, data_structure)

elif isinstance(data_structure, float):

return random.uniform(0, data_structure)

elif isinstance(data_structure, list):

return [self.generate_random_data(item) for item in data_structure]

elif isinstance(data_structure, dict):

return {key: self.generate_random_data(value) for key, value in data_structure.items()}

else:

return None

使用迭代器进行数据生成

def generator(self, data_structure):

if isinstance(data_structure, (list, dict)):

for item in data_structure:

yield self.generate_random_data(item)

测试类

data_structure = {'a': 1, 'b': [2, 3]}

generator = RandomDataGenerator()

random_data = generator.generate_random_data(data_structure)

print(random_data)

测试迭代器

for data in generator.generator(data_structure):

print(data)

```

  1. **包的封装**:

添加一个名为`random_generator`的包,结构如下:

```

random_generator/

init.py

core.py

decorators.py

generators.py

```

`core.py`文件:

```python

import random

def generate_random_data(data_structure):

if isinstance(data_structure, int):

return random.randint(0, data_structure)

elif isinstance(data_structure, float):

return random.uniform(0, data_structure)

elif isinstance(data_structure, list):

return [generate_random_data(item) for item in data_structure]

elif isinstance(data_structure, dict):

return {key: generate_random_data(value) for key, value in data_structure.items()}

else:

return None

```

`generators.py`文件:

```python

from .core import generate_random_data

class RandomDataGenerator:

def init(self):

pass

def generate_random_data(self, data_structure):

return generate_random_data(data_structure)

def generator(self, data_structure):

if isinstance(data_structure, (list, dict)):

for item in data_structure:

yield generate_random_data(item)

```

`decorators.py`文件:

```python

def add_prefix(func):

def wrapper(*args, **kwargs):

result = func(*args, **kwargs)

return f"Random Data: {result}"

return wrapper

```

`init.py`文件:

```python

from .core import generate_random_data

from .generators import RandomDataGenerator

from .decorators import add_prefix

```

在包外调用:

```python

from random_generator import generate_random_data, RandomDataGenerator, add_prefix

data_structure = {'a': [1, 2], 'b': {'c': 3, 'd': 4}}

random_data = generate_random_data(data_structure)

print(random_data)

generator = RandomDataGenerator()

for data in generator.generator(data_structure):

print(data)

@add_prefix

def generate_random_data_with_prefix(data_structure):

return generate_random_data(data_structure)

random_data_prefixed = generate_random_data_with_prefix(data_structure)

print(random_data_prefixed)

相关推荐
JavaEdge在掘金2 分钟前
启动nginx报错,80 failed (97: Address family not supported by protocol)
python
纪元A梦9 分钟前
华为OD机试真题——绘图机器(2025A卷:100分)Java/python/JavaScript/C++/C/GO最佳实现
java·javascript·c++·python·华为od·go·华为od机试题
钢铁男儿12 分钟前
C# 深入理解类:面向对象编程的核心数据结构
开发语言·数据结构·c#
程序员小远21 分钟前
接口测试和单元测试详解
自动化测试·软件测试·python·测试工具·单元测试·测试用例·接口测试
Tech Synapse30 分钟前
电商商品推荐系统实战:基于TensorFlow Recommenders构建智能推荐引擎
人工智能·python·tensorflow
聿小翼34 分钟前
selenium-wire 与 googletrans 的爱恨情仇
python
咖啡调调。36 分钟前
模板引擎语法-算术运算
python·django·sqlite
CodeCraft Studio36 分钟前
Excel处理控件Spire.XLS系列教程:Java设置Excel活动工作表或活动单元格
java·python·excel
Doker 多克37 分钟前
Python-Django系列—部件
开发语言·python
Linux运维老纪39 分钟前
Python文件操作及数据库交互(Python File Manipulation and Database Interaction)
linux·服务器·数据库·python·云计算·运维开发