Changed #

• Updated README with dynamic "latest" version text for better maintainability
• Improved installation instructions to always use current version
• Enhanced user guidance for version management
• Updated example code with better formatting practices
• Improved readability of long print statements

Fixed #

• Code formatting improvements in example file
• Enhanced documentation formatting and consistency
• Documentation consistency improvements
• Version-agnostic installation guide
• Minor performance optimizations

Fixed #

• Minor documentation improvements
• Package metadata enhancements
• Code style consistency improvements

Changed #

• Enhanced example documentation
• Improved package description clarity

Added #

• Initial release of ID Generator library
• Support for numeric ID generation (digits 1-9)
• Support for alphabetic ID generation with mixed case (a-z, A-Z)
• Support for special character ID generation (- _ ! @ # $ % ^ & *)
• Mixed ID generation combining all character types
• Custom mix functionality with user-defined character type combinations
• Batch generation methods for efficient multiple ID creation
• Comprehensive documentation and examples
• Thread-safe implementation using Dart's Random class
• Professional API documentation with detailed examples

Features #

• IDGenerator.generateNum() - Generate numeric IDs
• IDGenerator.generateAlpha() - Generate alphabetic IDs
• IDGenerator.generateSpecial() - Generate special character IDs
• IDGenerator.mix() - Generate mixed IDs with all character types
• IDGenerator.customMix() - Generate IDs with custom character combinations
• IDGenerator.listOfNums() - Batch generate numeric IDs
• IDGenerator.listOfAlpha() - Batch generate alphabetic IDs
• IDGenerator.listOfSpecial() - Batch generate special character IDs
• IDGenerator.listOfMix() - Batch generate mixed IDs
• IDGenerator.listOfCustomMix() - Batch generate custom mix IDs
• IdgEnum - Enumeration for specifying character types

Security #

• Uses cryptographically secure random number generation
• High entropy output suitable for security-sensitive applications
• Carefully chosen character sets to avoid common confusion issues