import gzip
import base64
import os
from pathlib import Path
from typing import Dict

# for kaggle team
# this is base64-encoded source code.
# code will be decoded and install at the beginning of kernel run.
# you can see all code at https://github.com/katotetsuro/chainer-stylegan/tree/ac


# this is base64 encoded source code
file_data: Dict = {'src/__init__.py': 'H4sIAB/fT10C/wMAAAAAAAAAAAA=', 'src/dataset/trim_images.py': 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'src/dataset/label_image.py': 'H4sIAB/fT10C/2WOwQrCMAyG73uK3NYOqXfBd/A+ZHQsnZG2KV0EH9/ayZyYQyB/8n9/XOYAycrN0wgUEmeBSxmbZkIHnu00eDuiHyjYGVVmFn1qoFQVFjiDp0XU27Nuzex5VG3XHTtzT3OrdT1fKQtKcZSuemeSzRjFRBsQHGdwQPGDvf6baswm7PfbJ72iw9djKE74VLTP0bom0S6pgjLKI8cf3gseTugwGgEAAA==', 'src/stylegan/submit.py': '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', 'src/stylegan/config.py': 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'src/stylegan/net.py': 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'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', 'src/common/evaluation/__init__.py': 'H4sIAB/fT10C/wMAAAAAAAAAAAA=', 'src/common/evaluation/utils.py': 'H4sIAB/fT10C/3VQu27DMAzc/RXc7ACGPyCAxwxZOnU3BIlKCOgFUhmSov9eRWrkIQgniUce7458ipxBXxUF5GEwaOGCedNOiZBFnrQTu+V7whnqM6l8PRwHKGU5etDR+xgWHw06AWp856AxZYqhzpGFzgLrCiO94LERPasSwLqvToeOKb5IgX5641XjU6tFlW+M4xG++Ybz+5Bo5dB8xhmFHmX/Hf6tv2IMd6GsSBC+Yj775NBjyGhOzJGHbqOGVAT3wCr0H/IiyKRcuciyuKjMFtJj2vfmxtHcMxZroXXmmsMf2sUCA7IBAAA=', 'src/common/evaluation/fid.py': 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'setup.py': 'H4sIAB/fT10C/0srys9VKE4tKS0oyc/PKVbIzC3ILyqBiHBxgSkNLgUgyEvMTbVVLy5KVtcB8wsSk7MT01OLbaPBgrE6XJpcAIa5ZitNAAAA'}

# decode to local storage
for path, encoded in file_data.items():
    print(path)
    path = Path('/home').joinpath(path)
    path.parent.mkdir(parents=True, exist_ok=True)
    path.write_bytes(gzip.decompress(base64.b64decode(encoded)))


def run(command):
    os.system('export PYTHONPATH=${PYTHONPATH}:/home && ' + command)


run('cd /home && python setup.py develop --install-dir /home')
print('cropping images start.')
run('python -m src.dataset.trim_images /kaggle/input/all-dogs/all-dogs /kaggle/input/annotation/Annotation /home/images')
print('cropping images finished.')
run('python -m src.stylegan.train --gpu 0 --image_dir /home/images/data.npy --out result --ch 256 --mapping-ch 320 --stage_interval 500000 --keep_smoothed_gen --ac 0.05')