"""Guards for the frozen ImageNet recipe and launch variants."""

from __future__ import annotations

import unittest
from pathlib import Path

from gmnet.config import load_config


ROOT = Path(__file__).resolve().parents[1]


class RecipeTests(unittest.TestCase):
    def test_supplementary_recipe_is_frozen(self) -> None:
        config = load_config(ROOT / "configs/base/imagenet_paper.yaml")
        self.assertEqual(config["recipe_id"], "paper-supplementary-table8-v1")
        self.assertEqual(config["data"]["batch_size"] * 8, 2048)
        self.assertEqual(config["optimizer"]["lr"], 0.003)
        self.assertEqual(config["optimizer"]["weight_decay"], 0.03)
        self.assertEqual(config["mixup"]["mixup_alpha"], 0.8)
        self.assertEqual(config["mixup"]["cutmix_alpha"], 0.4)
        self.assertEqual(config["data"]["random_erasing"], 0.25)
        self.assertEqual(config["train"]["epochs"], 300)
        self.assertEqual(config["scheduler"]["warmup_epochs"], 5)
        self.assertEqual(config["scheduler"]["step_unit"], "epoch")
        self.assertEqual(config["scheduler"]["cooldown_epochs"], 0)
        self.assertFalse(config["amp"]["enabled"])
        self.assertFalse(config["train"]["channels_last"])
        self.assertEqual(config["train"]["eval_interval"], 300)
        self.assertFalse(config["train"]["save_best_checkpoint"])
        self.assertEqual(
            config["optimizer"]["no_weight_decay_patterns"], ["raw_clip"]
        )
        self.assertEqual(config["data"]["expected_train_samples"], 1_281_167)
        self.assertEqual(config["data"]["expected_val_samples"], 50_000)

    def test_scale_specific_drop_path(self) -> None:
        expected = {"s1": 0.0, "s2": 0.0, "s3": 0.02, "s4": 0.02}
        paths = {
            "s1": "configs/e5_scaling/imagenet_gmnet_s1.yaml",
            "s2": "configs/e0_baseline/imagenet_gmnet_s2.yaml",
            "s3": "configs/e0_baseline/imagenet_gmnet_s3.yaml",
            "s4": "configs/e5_scaling/imagenet_gmnet_s4.yaml",
        }
        for variant, relative in paths.items():
            with self.subTest(variant=variant):
                config = load_config(ROOT / relative)
                self.assertEqual(config["model"]["variant"], variant)
                self.assertEqual(config["model"]["drop_path_rate"], expected[variant])

    def test_release_recipe_bn_audits_change_only_the_intended_topology(self) -> None:
        paper_bn = load_config(
            ROOT
            / "configs/e0_baseline/imagenet_gmnet_s3_release_paper_bn.yaml"
        )
        full_bn = load_config(
            ROOT
            / "configs/e0_baseline/imagenet_gmnet_s3_release_historical_full_bn.yaml"
        )
        for config in (paper_bn, full_bn):
            self.assertEqual(config["optimizer"]["weight_decay"], 0.05)
            self.assertEqual(config["mixup"]["cutmix_alpha"], 0.2)
            self.assertEqual(config["model"]["drop_path_rate"], 0.0)
            self.assertTrue(config["model"]["projection_bn"])
        self.assertFalse(paper_bn["model"]["f12_bn"])
        self.assertFalse(paper_bn["model"]["second_dw_bn"])
        self.assertTrue(full_bn["model"]["f12_bn"])
        self.assertTrue(full_bn["model"]["second_dw_bn"])


if __name__ == "__main__":
    unittest.main()