utkarsh-naman/utnamtte

1. Repository scope

- This is a very small Python package repository for utnamTTE / tte: a text-to-mathematical-expression converter.

- The codebase visible here is mostly the package wrapper and packaging metadata, not a multi-module application.

2. Primary boundary

- The main public boundary is the Python package tte under tte/__init__.py.

- The README shows the user-facing API is a single function, tte(), imported either as import utnamtte or from utnamtte import tte.

3. Core subsystem: expression translation

- The central job is to take a human-friendly math string like 2+ln2√π and transform it into a Python-evaluable expression like 2+(math.log(2))*(math.sqrt(math.pi)).

- This is a string-to-string rewrite pipeline, not a calculator by itself.

4. Likely processing flow

- Input enters as plain text.

- The converter normalizes symbols and words into canonical math forms.

- It then inserts missing operators, completes brackets, and rewrites function-like tokens into Python syntax.

- The output is a Python expression string intended for downstream eval() or similar execution by the caller.

5. Math symbol normalization

- The README explicitly documents support for alternate symbol forms:

- π, pi, or math.pi

- e or math.e

- {/} as bracket variants

- ×/* and ÷//

- This indicates a normalization layer that maps user-friendly notation into Python-compatible tokens.

6. Implicit multiplication and function chaining

- The examples show implicit multiplication is inferred in cases such as 2√π11+3 and 4ln11e.

- The converter also supports stacked functions like √√sqrtπ and lnlnlog1331, so the parser must recognize repeated unary operators/functions and wrap them correctly.

7. Bracket handling

- The README highlights “auto-complete brackets,” meaning incomplete expressions like 2*7/(3+1 are normalized into a balanced Python expression.

- This is a separate concern from math rewriting: it is a structural cleanup step before output.

8. Function and operator mapping

- The converter maps common math words into Python math calls:

- ln / log → math.log

- sqrt / √ → math.sqrt

- abs / |...| → abs(...)

- It also supports division behavior like 7/3π becoming 7/(3)*math.pi, showing precedence-aware rewriting.

9. External execution boundary

- The library itself appears to stop at producing a Python expression string.

- The caller is expected to execute or consume that string; the README demonstrates eval(a) after conversion.

- So the package is a preprocessor, not a runtime math engine.

10. Packaging and distribution layer

- setup.py, MANIFEST.in, README.md, README.txt, CHANGELOG.txt, and LICENCE.txt indicate standard Python package distribution.

- This repo is designed for PyPI publishing and installation via pip install utnamtte.

11. Public API shape

- The package surface is intentionally minimal: one main function and no visible subsystem modules in the tree.

- tte/__init__.py likely exposes the entry point directly, making the package easy to import but tightly coupled internally.

12. Adjacent application context

- The README mentions a separate application called MATEX, built with Python + KivyMD 0.104.2, that uses this converter and can also emit Java expressions.

- That app is referenced as an application of the library, but it is not present in this repository snapshot.