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| set -e
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| set -x
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| virtualenv -p python3 .
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| source ./bin/activate
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| pip install --require-hashes -r requirements.txt
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| gdown --folder https://bit.ly/alphageometry
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| DATA=ag_ckpt_vocab
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| MELIAD_PATH=meliad_lib/meliad
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| mkdir -p $MELIAD_PATH
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| git clone https://github.com/google-research/meliad $MELIAD_PATH
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| export PYTHONPATH=$PYTHONPATH:$MELIAD_PATH
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| DDAR_ARGS=(
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| --defs_file=$(pwd)/defs.txt \
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| --rules_file=$(pwd)/rules.txt \
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| );
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| BATCH_SIZE=2
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| BEAM_SIZE=2
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| DEPTH=2
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| SEARCH_ARGS=(
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| --beam_size=$BEAM_SIZE
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| --search_depth=$DEPTH
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| )
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| LM_ARGS=(
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| --ckpt_path=$DATA \
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| --vocab_path=$DATA/geometry.757.model \
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| --gin_search_paths=$MELIAD_PATH/transformer/configs \
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| --gin_file=base_htrans.gin \
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| --gin_file=size/medium_150M.gin \
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| --gin_file=options/positions_t5.gin \
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| --gin_file=options/lr_cosine_decay.gin \
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| --gin_file=options/seq_1024_nocache.gin \
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| --gin_file=geometry_150M_generate.gin \
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| --gin_param=DecoderOnlyLanguageModelGenerate.output_token_losses=True \
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| --gin_param=TransformerTaskConfig.batch_size=$BATCH_SIZE \
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| --gin_param=TransformerTaskConfig.sequence_length=128 \
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| --gin_param=Trainer.restore_state_variables=False
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| );
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| echo $PYTHONPATH
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| python -m alphageometry \
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| --alsologtostderr \
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| --problems_file=$(pwd)/examples.txt \
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| --problem_name=orthocenter \
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| --mode=alphageometry \
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| "${DDAR_ARGS[@]}" \
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| "${SEARCH_ARGS[@]}" \
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| "${LM_ARGS[@]}"
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