## sdt.vip
sdt.vip常用的工具包, 内置大量常用工具, 正在不断增加中......
## 安装方法
pip install sdt.vip
## 使用方法
```python代码
import sdt.vip
if __name__ == "__main__":
dfx = sdt.vip.DateTimeX() # 可初始化 "2023-05-28 23:23:51"
print("初始时间:", dfx)
print("昨天的本月区间:", dfx.get("{[年-月-初||复位-1日]}~{[年-月-日]}"))
print("昨天的去年本月区间:", dfx.get("{[年-月-初||复位-1日-1年]}~{[年-月-末]}"))
print("昨天的上月区间:", dfx.get("{[年-月-初||复位-1日-1月]}~{[年-月-末]}"))
print("昨天的近35天区间:", dfx.get("{[年-月-日||复位-35日]}~{[年-月-日||复位-1日]}"))
print("前35天的日期:", dfx.get("{[年-月-日||复位-35日]}"))
print("昨天的月1号:", dfx.get("{[年-月-初||复位-1日]}"))
print("昨天的本月:", dfx.get("{[年-月||复位-1日]}"))
'''
# 说明：
1、分隔符“||” 左侧是获取的时间格式，右侧是时间计算的指令；
2、左左侧的字符串中通包含年、月、日、时、分、秒、初、末，用来获取时间和格式，其中“初”是获数字1，“末”最后一天的日期；
3、右侧是时间计算的指令支持年、月、日、时、分、秒、复位，用来对当前的时间进行加和减的计算，其中“复位”代表恢复到初始时间；
目前支持WINDOWS下 Python 3.6 和 3.9
联系作者：6566666@qq.com
'''
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"description": "## sdt.vip\nsdt.vip\u5e38\u7528\u7684\u5de5\u5177\u5305, \u5185\u7f6e\u5927\u91cf\u5e38\u7528\u5de5\u5177, \u6b63\u5728\u4e0d\u65ad\u589e\u52a0\u4e2d......\n\n\n## \u5b89\u88c5\u65b9\u6cd5\npip install sdt.vip\n\n\n## \u4f7f\u7528\u65b9\u6cd5\n```python\u4ee3\u7801\nimport sdt.vip\n\nif __name__ == \"__main__\":\n\n dfx = sdt.vip.DateTimeX() # \u53ef\u521d\u59cb\u5316 \"2023-05-28 23:23:51\"\n\n print(\"\u521d\u59cb\u65f6\u95f4:\", dfx)\n\n print(\"\u6628\u5929\u7684\u672c\u6708\u533a\u95f4:\", dfx.get(\"{[\u5e74-\u6708-\u521d||\u590d\u4f4d-1\u65e5]}~{[\u5e74-\u6708-\u65e5]}\"))\n\n print(\"\u6628\u5929\u7684\u53bb\u5e74\u672c\u6708\u533a\u95f4:\", dfx.get(\"{[\u5e74-\u6708-\u521d||\u590d\u4f4d-1\u65e5-1\u5e74]}~{[\u5e74-\u6708-\u672b]}\"))\n\n print(\"\u6628\u5929\u7684\u4e0a\u6708\u533a\u95f4:\", dfx.get(\"{[\u5e74-\u6708-\u521d||\u590d\u4f4d-1\u65e5-1\u6708]}~{[\u5e74-\u6708-\u672b]}\"))\n\n print(\"\u6628\u5929\u7684\u8fd135\u5929\u533a\u95f4:\", dfx.get(\"{[\u5e74-\u6708-\u65e5||\u590d\u4f4d-35\u65e5]}~{[\u5e74-\u6708-\u65e5||\u590d\u4f4d-1\u65e5]}\"))\n\n print(\"\u524d35\u5929\u7684\u65e5\u671f:\", dfx.get(\"{[\u5e74-\u6708-\u65e5||\u590d\u4f4d-35\u65e5]}\"))\n\n print(\"\u6628\u5929\u7684\u67081\u53f7:\", dfx.get(\"{[\u5e74-\u6708-\u521d||\u590d\u4f4d-1\u65e5]}\"))\n\n print(\"\u6628\u5929\u7684\u672c\u6708:\", dfx.get(\"{[\u5e74-\u6708||\u590d\u4f4d-1\u65e5]}\"))\n\n\n'''\n# \u8bf4\u660e\uff1a\n1\u3001\u5206\u9694\u7b26\u201c||\u201d \u5de6\u4fa7\u662f\u83b7\u53d6\u7684\u65f6\u95f4\u683c\u5f0f\uff0c\u53f3\u4fa7\u662f\u65f6\u95f4\u8ba1\u7b97\u7684\u6307\u4ee4\uff1b\n2\u3001\u5de6\u5de6\u4fa7\u7684\u5b57\u7b26\u4e32\u4e2d\u901a\u5305\u542b\u5e74\u3001\u6708\u3001\u65e5\u3001\u65f6\u3001\u5206\u3001\u79d2\u3001\u521d\u3001\u672b\uff0c\u7528\u6765\u83b7\u53d6\u65f6\u95f4\u548c\u683c\u5f0f\uff0c\u5176\u4e2d\u201c\u521d\u201d\u662f\u83b7\u6570\u5b571\uff0c\u201c\u672b\u201d\u6700\u540e\u4e00\u5929\u7684\u65e5\u671f\uff1b\n3\u3001\u53f3\u4fa7\u662f\u65f6\u95f4\u8ba1\u7b97\u7684\u6307\u4ee4\u652f\u6301\u5e74\u3001\u6708\u3001\u65e5\u3001\u65f6\u3001\u5206\u3001\u79d2\u3001\u590d\u4f4d\uff0c\u7528\u6765\u5bf9\u5f53\u524d\u7684\u65f6\u95f4\u8fdb\u884c\u52a0\u548c\u51cf\u7684\u8ba1\u7b97\uff0c\u5176\u4e2d\u201c\u590d\u4f4d\u201d\u4ee3\u8868\u6062\u590d\u5230\u521d\u59cb\u65f6\u95f4\uff1b\n\n\u76ee\u524d\u652f\u6301WINDOWS\u4e0b Python 3.6 \u548c 3.9\n\u8054\u7cfb\u4f5c\u8005\uff1a6566666@qq.com\n'''\n\n\n",
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