feat: automatically reproduce model from reproduce.json (#326)

* feat: load reproduction information

* feat: check reproduction environment against original environment

* fix: remove `trust_remote_code` setting

This improves security when running Heretic with an untrusted config file. The prompt is now always shown.

This is NOT a breaking change, because we currently ignore values for unknown settings, so existing configs continue to work.

* feat: reproduce model from JSON file

* feat: verify hashes of uploaded weight files

* fix: fix issues in automatic reproduction system (#352)

* fix: Check if a model is gated / accessible

* fix: handle unknown gated models

* feat: Auto install requirements

* simplify

* Revert "simplify"

This reverts commit 10287926e99e5543f67a72d38a595ae2b4084d71.

* Revert "feat: Auto install requirements"

This reverts commit f4be1abd043e17d83e589e54972c4ead2600c2b2.

* fix: Seed pytorch method

* reference, style

* simplify token

* feat: Export strategy in reproduce.json, v2

* style: Name

* simplify export strategy

* style: Rename

* enumeration

* maybe remove seed as well

* fix: don't lock settings with permanent strategy

* simplify no choice, use try/finally block

* feat: verify hashes of locally saved weight files

* fix: remove obsolete code from merge

* docs: add automatic reproduction instructions to reproduce README

---------

Co-authored-by: Vinay-Umrethe <vinayumrethe99@gmail.com>

config.default.toml

@@ -123,10 +123,6 @@ n_trials = 200
 # Number of trials that use random sampling for the purpose of exploration.
 n_startup_trials = 60
 
-# Random seed for reproducible optimization. Set to an integer to enable.
-# Applies to Python's random module, NumPy, PyTorch, and Optuna.
-# seed = 75
-
 # Directory to save and load study progress to/from.
 study_checkpoint_dir = "checkpoints"