sumitENV 0.1.0

Run sumit403.p4() in an isolated conda environment without crashing your Jupyter kernel

Tenv

Run sumit403.p4() in a completely isolated conda environment — your Jupyter kernel never crashes.

The Problem

sumit403.p4() injects PyTorch code that conflicts with the standard Anaconda environment, causing the kernel to die every time you run it.

The Solution

Tenv runs p4() in a separate subprocess inside a dedicated p4_env conda environment. Your main kernel is untouched, figures are captured and displayed inline, and you never need to restart.

Installation

pip install Tenv

Usage

Step 1 — One-time setup

Run this once to create the isolated environment with PyTorch + sumit403:

from tenv import setup_env
setup_env()

Step 2 — Run p4 (every time, no crashes)

from tenv import run_p4
run_p4()

That's it. Output streams back to your notebook, matplotlib figures display inline, and your kernel stays alive.

Requirements

• Anaconda or Miniconda (conda must be on PATH)
• Python 3.8+