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test_multimer_datamodule.py 2.11 KB
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# Copyright 2021 AlQuraishi Laboratory
# Dingquan Yu @ EMBL-Hamburg Kosinski group
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from pathlib import Path
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import shutil
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import pickle
import torch
import torch.nn as nn
import numpy as np
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from functools import partial
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import unittest
from openfold.config import model_config
from openfold.data.data_modules import OpenFoldDataModule
import logging
logger = logging.getLogger(__name__)
import os

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class TestMultimerDataModule(unittest.TestCase):
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    def setUp(self):
        """
        Set up model config

        use model_1_multimer_v3 for now
        """
        self.config = model_config(
        "model_1_multimer_v3", 
        train=True, 
        low_prec=True)
        self.data_module = OpenFoldDataModule(
        config=self.config.data, 
        batch_seed=42,
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        template_mmcif_dir = "/g/alphafold/AlphaFold_DBs/2.3.0/pdb_mmcif/mmcif_files/",
        template_release_dates_cache_path=os.path.join(os.getcwd(),"tests/test_data/mmcif_cache.json"),
        max_template_date="2500-01-01",
        train_data_dir=os.path.join(os.getcwd(),"tests/test_data/mmcifs"),
        val_data_dir=os.path.join(os.getcwd(),"tests/test_data/mmcifs"),
        val_alignment_dir=os.path.join(os.getcwd(),"tests/test_data/alignments/validation"),
        train_alignment_dir=os.path.join(os.getcwd(),"tests/test_data/alignments/train"),
        kalign_binary_path=shutil.which('kalign'),
        train_chain_data_cache_path=os.path.join(os.getcwd(),"tests/test_data/train_chain_data_cache.json")
    )
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    def testPrepareData(self):
        self.data_module.prepare_data()
        self.data_module.setup()