semvec/pypi-packages huggingface dataset:
gmsofttest 0.0.77
大家软件内部测试技术线支撑工具
Requires Python: >=3.6

# Gmtestplugin

    大家软件Python插件定制私有库开发项目

## change logs
```
v0.0.75
	gm_oauth_utils.py增加获取公告访问码方法get_license_key(domain: str, refresh_key: str, is_print=None) -> str
```



```
v0.0.73-74
	增加gm_oauth_utils.py，获取第三方登录auth
```





```
v0.0.72
	支撑test3环境数据库连接和登录
```



```
v0.0.71
    修复gm_login_into_utils.py类bug
```

```
v0.0.70
    gm_login_into_utils.py类增加getattr(LoginDomain, login_domain).value
```

```
v0.0.69
    增加翻译工具类，调用的是阿里云api
    pip install alibabacloud_alimt20181012 alibabacloud_credentials alibabacloud_tea_openapi alibabacloud_tea_util
```

```
v0.0.68
    增加gmsoft_login_into函数
```


```
v0.0.61
    增加locust_login函数，支撑locust登录
```
```
v0.0.60
    修复二次验证bug
```
```
v0.0.59
    处理多次验证时未兼容问题
```
```
v0.0.57 
    处理多次验证时未兼容问题
```
```
v0.0.56 
    处理多次验证时未兼容问题
```
V0.0.55
    2024-08-06 gm_login2_utils工具類增加login方法
v0.0.54
```
    2024-07-04  增加gm_exec_python_def.py方法，可通过调用此方法执行python相关函数

```

v0.0.53



v0.0.52 

```
    randomdata_utils中getStr支撑最大长度5000

```

v0.0.51 

```
    打包gm_sucreditcode_utils.py



```

V0.0.49

    适配已有的DMSql的引入，DMSql类直接返回pass
V0.0.48

    2.19的unix服务器有问题，取消import pyodbc

V0.0.46

    增加文件上传

v0.0.45
    增加gm_format_parmas工具，支撑批量替换URL中{}参数
v0.0.44
    OperateMysql()类的delete_data()函数支持多条SQL语句

V0.0.42
    OperateMysql()类支撑通过Pytest环境变量调用

V0.0.39
    1：修复登录行采家的登录问题
    2：修复触发二次手机登录时未处理逻辑的问题

V0.0.19
   sql工具类增加达梦数据库ODBC（test1）

V0.0.16
   1、增加登录封装gm_login2_utils.py
   2、优化second_verify.py

V0.0.15 
   增加二次验证读取identities的值

V0.0.14
    gm_assert_utils工具增加按列表分别取列表中的值并进行验证gm_assert_list_anyone_in

v0.0.13
  gm_assert_utils工具增加字典类型验证 gm_assert_dict_iseuqal

V0.0.12
  gm_assert_utils工具增加 gm_assert_lists_isinclude和gm_assert_lists_iseuqals验证

V0.0.11
  增加analysis库
v0.0.10
  优化部分内容
v0.0.9
  demo演示

v0.0.8
 修改gm_prase_response的调用名称为gm_extract_json
 增加gm_sucreditcode_utils，用于生成企业社会信用代码

v0.0.6 
 修改gm_request_utils的请求参数verfiy的默认值,由NONE调整成False

v0.0.5

 增加gm_assert_utils：assert验证封装

 增加gm_excel_utils: excel工具类封装

 增加gm_stock_enum: 增加采购数据枚举类

 增加gm_yaml_process_utils: 增加yaml工具类

 增加gm_request_utils：增加requests请求封装类	

v0.0.4
  增加gm_prase_response.py: 解析request请求返回值
  增加gm_timestamp.py： 生成测试的时间戳

v0.0.3 
  优化目录结构
  china_address.py 
  getrandomdata.py -- 生成随机数据
  mysqlconn.py -- 数据库连接池
v0.0.2 
  try something

v0.0.1 
  mydemo-package 实验项目
cryptlex.lexfloatclient 4.13.0
LexFloatClient API wrapper for Python
Keywords: cryptlex lexfloatclient licensing

![Publish cryptlex.lexfloatclient package](https://github.com/cryptlex/lexfloatclient-python/workflows/Publish%20cryptlex.lexfloatclient%20package/badge.svg)

# cryptlex.lexfloatclient

Cryptlex lets you license your software apps effortlessly. You can easily generate license keys using the REST API or Dashboard and validate the license keys in your software apps using LexActivator (Cryptlex client library), implement floating licenses using LexFloatClient library.

Additionally, you can offer trials, subscriptions, floating licenses and much more.

**cryptlex.lexfloatclient** is a Python wrapper for LexFloatClient licensing library.

## Installation

    pip install cryptlex.lexfloatclient

Then you can include it in your code:

	from cryptlex.lexfloatclient import LexFloatClient, LexFloatStatusCodes, LexFloatClientException


## Usage
Refer to following for documentation:

https://docs.cryptlex.com/floating-licenses/on-premise-floating-licenses/using-lexfloatclient/using-lexfloatclient-with-python
biometeo-frontend 0.1.1
A friendly UI app designed for biometeo, shows function documentation, default values
Requires Python: >=3.10

# Description
A friendly UI app designed for biometeo, shows function documentation, default values

## Usage
1. Select the function you would like to use
2. Input the function args or select your csv file with corresponding variable name (Calculate automatically). You can also drag it.
3. Click run to calculate
4. The results will show in tabular view.
5. You can export the result in csv/json format, to file or clipboard.
6. Clear the tabular view