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Releases: jiangyangcreate/etool

1.4.5

30 Jun 05:21

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1.4.5 Pre-release
Pre-release
🔧 更新版本至1.4.5,并优化模块导入处理

- 将项目版本从1.4.4更新至1.4.5
- 添加模块导入异常处理,确保导入失败时不会影响其他模块的使用
- 提供获取模块导入状态的功能

1.4.3

27 Jun 09:01

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1.4.3 Pre-release
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调整依赖项,支持跨平台

1.4.2

16 Mar 09:28

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1.4.2 Pre-release
Pre-release

update version

1.4.2b

15 Mar 04:23

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1.4.2b Pre-release
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  • Introduce ManagerMd for Markdown processing, enabling conversion to Word and HTML, and extraction of tables to Excel.
  • Update README files (English and Chinese) with new Markdown processing examples.
  • Add tests for Markdown conversion functionalities in test_etool.py.
  • Include new dependencies: markdown and beautifulsoup4 in pyproject.toml.

1.4.2

12 Feb 02:39

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1.4.2 Pre-release
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Add Base Conversion Feature to ManagerPassword

1.4.1b

06 Feb 05:06

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1.4.1b Pre-release
Pre-release
  • Modify speedtest initialization with secure connection and flexible source address
  • Relax speedtest-cli version constraint in dependencies
  • Bump version to 1.4.1b in pyproject.toml

1.4.1a

05 Feb 07:15

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1.4.1a Pre-release
Pre-release
  • Introduce new ManagerMenu class for Windows right-click menu operations
  • Update README files (English and Chinese) with Windows menu management examples
  • Update init.py to expose ManagerMenu module
  • Bump version to 1.4.1a in pyproject.toml

1.4.1

05 Feb 06:56

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1.4.1 Pre-release
Pre-release
  • Introduce new ManagerInstall class for automated dependency installation
  • Update README files (English and Chinese) with installation usage examples
  • Add test case for ManagerInstall in test_etool.py
  • Bump version to 1.4.1 in pyproject.toml
  • Update init.py to expose ManagerInstall module

1.4.0

03 Feb 14:29

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1.4.0 Pre-release
Pre-release

Translate comments and docstrings to English in the PDF conversion module
Enhance code readability by using more descriptive variable names and error messages
Improve error handling and logging in PDF conversion and management methods
Standardize print statements and logging across PDF-related functions

1.3.9

03 Feb 13:14

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1.3.9 Pre-release
Pre-release

🐛 Optimize memory speed testing with NumPy and improve performance measurement

  • Replace list comprehension with NumPy random generation for faster memory write test
  • Use np.sum() to ensure data reading and measurement