学习笔记五：数据参数化

parameterized

安装插件：pip install parameterized

使用方式：https://github.com/wolever/parameterized

```py
import unittest
from parameterized import parameterized


class AddTestCase(unittest.TestCase):
    @parameterized.expand([
        ("2 and 3", 2, 3, 5),
        ("3 and 5", 2, 3, 5),
    ])
    def test_add(self, _, a, b, expected):
        print(_, a, b, expected)
```

ddt

安装插件：pip install ddt

使用方式：https://github.com/datadriventests/ddt/

```py
import unittest
from ddt import ddt, data, file_data, unpack

@ddt
class FooTestCase(unittest.TestCase):
    @data(3, 4, 12, 23)
    def test_larger_than_two(self, value):
        print(value)

    @data([3, 2], [4, 3], [5, 3])
    @unpack
    def test_list_extracted_with_doc(self, first_value, second_value):
        print(first_value, second_value)

    @unpack
    @data({'first': 1, 'second': 3, 'third': 2},
          {'first': 4, 'second': 6, 'third': 5})
    def test_dicts_extracted_into_kwargs(self, first, second, third):
        print(first, third, second)

    @file_data('test_data_dict.json')
    def test_file_data_json_dict(self, value):
        print(value)

    @file_data('test_data_dict.yaml')
    def test_file_data_yaml_dict(self, value):
        print(value)

FooTestCase()

```

自己封装ddt，读取csv文件

```py
import csv
from itertools import islice
from parameterized import parameterized

def file_ddt(f):
    file_data = csv.reader(open(f, 'r'))
    data = []
    for d in islice(file_data, 1, None):
        data.append(d)
    return parameterized.expand(data)
```