YATLA is a templating engine with a simple templating language specifically designed for type inference, allowing consumers to provide users with slots of determined types.
- Add numerical blocks
- Add type inference. Go from a template -> list of typed parameters
- Write own lexer to respect whitespace
- Write own own parsing system
- Add template validation (preventing non-unique identifiers...)
- Publish as pip-installable package
- Add foreach loops
- Add numerical function calls
- Improve Python interface
- Think about object accessors
This sample template gives a whirlwind tour of YATLA's functionality.
This a sample template.
This line contains a {{ slot }}.
Slots can also contain mathematical expressions: {{ 3 + factor * 7 }}.
With full support for operator precedence: {{ (3 + factor) * 7 }}.
Foreach loops are also valid. For example:
This is the {{ factor }} times table:
{{ foreach num in num_list }}
{{ factor }} * {{ num }} = {{ factor * num }}
{{ endforeach }}
There is also a standard library of mathematical functions.
Comparing {{ factor }} and {{ num }}, the largest is {{ Maximum(factor, num) }} and the smallest is {{ Minimum(factor, num) }}.
{{ RoundUp(15, 2) }} = 16, and {{ RoundDown(15, 2) }} = 14.
From the template above, YATLA will identify the parameters in the template, and infer their types:
slot: string or numberfactor: numbernum: numbernum_list: number array
Contributions are welcome! If you encounter any issues or have suggestions for improvement, please submit an issue.
This project is licensed under the MIT License - see the LICENSE file for details.
YATLA is developed and maintained by Eugene Prout.