# ensure that you have conda (or miniconda) installed (https://conda.io/projects/conda/en/latest/user-guide/install/index.html) and that it is activated

# create clean environment
conda create --name atmt36 python=3.6

# activate the environment
conda activate atmt36

# intall required packages
pip install torch==1.6.0 numpy tqdm sacrebleu

# ensure that you have python 3.6 downloaded and installed (https://www.python.org/downloads/)

# install virtualenv
pip install virtualenv

# create a virtual environment named "atmt36"
virtualenv --python=python3 atmt36

# launch the newly created environment
atmt36/bin/activate

# intall required packages
pip install torch==1.6.0 numpy tqdm sacrebleu

python train.py \
    --data path/to/prepared/data \
    --source-lang en \
    --target-lang sv \
    --save-dir path/to/model/checkpoints \
    --train-on-tiny # for testing purposes only

python translate.py \
    --data path/to/prepared/data \
    --dicts path/to/prepared/data \
    --checkpoint-path path/to/model/checkpoint/file/for/loading \
    --output path/to/output/file/model/translations

bash scripts/postprocess.sh path/to/output/file/model/translations path/to/postprocessed/model/translations/file en

cat path/to/postprocessed/model/translations/file | sacrebleu path/to/raw/target/test/file