Esempio n. 1
0
    def test_roundtrip2(self):
        """Ensure DB is the same after saving and loading."""
        from e3fp.fingerprint.fprint import Fingerprint
        from e3fp.fingerprint.db import FingerprintDatabase

        fprints = []
        for i in range(10):
            fprints.append(
                Fingerprint.from_indices(
                    np.random.uniform(0, 2 ** 32, size=30),
                    bits=2 ** 32,
                    level=5,
                )
            )
            fprints[-1].name = "fp" + str(i)
            fprints[-1].set_prop("index", float(i))
        db = FingerprintDatabase(fp_type=Fingerprint, level=5)
        db.add_fingerprints(fprints)
        desc, db_file = tempfile.mkstemp(suffix=".fps.bz2")
        os.close(desc)
        db.save(db_file)
        db2 = db.load(db_file)
        os.unlink(db_file)
        self.assertEqual(db, db2)
        self.assertListEqual(db2.get_prop("index").tolist(), list(range(10)))
Esempio n. 2
0
def run(sdf_files,
        bits=BITS,
        first=FIRST_DEF,
        level=LEVEL_DEF,
        radius_multiplier=RADIUS_MULTIPLIER_DEF,
        counts=COUNTS_DEF,
        stereo=STEREO_DEF,
        include_disconnected=INCLUDE_DISCONNECTED_DEF,
        rdkit_invariants=RDKIT_INVARIANTS_DEF,
        exclude_floating=EXCLUDE_FLOATING_DEF,
        params=None,
        out_dir_base=None,
        out_ext=OUT_EXT_DEF,
        db_file=None,
        overwrite=False,
        all_iters=False,
        log=None,
        num_proc=None,
        parallel_mode=None,
        verbose=False):
    """Generate E3FP fingerprints from SDF files."""
    setup_logging(log, verbose=verbose)

    if params is not None:
        params = read_params(params, fill_defaults=True)
        bits = get_value(params, "fingerprinting", "bits", int)
        first = get_value(params, "fingerprinting", "first", int)
        level = get_value(params, "fingerprinting", "level", int)
        radius_multiplier = get_value(params, "fingerprinting",
                                      "radius_multiplier", float)
        counts = get_value(params, "fingerprinting", "counts", bool)
        stereo = get_value(params, "fingerprinting", "stereo", bool)
        include_disconnected = get_value(params, "fingerprinting",
                                         "include_disconnected", bool)
        rdkit_invariants = get_value(params, "fingerprinting",
                                     "rdkit_invariants", bool)
        exclude_floating = get_value(params, "fingerprinting",
                                     "exclude_floating", bool)

    para = Parallelizer(num_proc=num_proc, parallel_mode=parallel_mode)

    if para.rank == 0:
        logging.info("Initializing E3FP generation.")
        logging.info("Getting SDF files")

        if len(sdf_files) == 1 and os.path.isdir(sdf_files[0]):
            from glob import glob
            sdf_files = glob("{:s}/*sdf*".format(sdf_files[0]))

        data_iterator = make_data_iterator(sdf_files)

        logging.info("SDF File Number: {:d}".format(len(sdf_files)))
        if out_dir_base is not None:
            logging.info("Out Directory Basename: {:s}".format(out_dir_base))
            logging.info("Out Extension: {:s}".format(out_ext))
        if db_file is not None:
            logging.info("Database File: {:s}".format(db_file))
        if db_file is None and out_dir_base is None:
            sys.exit('Either `db_file` or `out_dir_base` must be specified.')
        logging.info("Max First Conformers: {:d}".format(first))
        logging.info("Bits: {:d}".format(bits))
        logging.info("Level/Max Iterations: {:d}".format(level))
        logging.info(
            "Shell Radius Multiplier: {:.4g}".format(radius_multiplier))
        logging.info("Stereo Mode: {!s}".format(stereo))
        if include_disconnected:
            logging.info("Connected-only mode: on")
        if rdkit_invariants:
            logging.info("Invariant type: RDKit")
        else:
            logging.info("Invariant type: Daylight")
        logging.info("Parallel Mode: {!s}".format(para.parallel_mode))
        logging.info("Starting")
    else:
        data_iterator = iter([])

    fp_kwargs = {
        "first": first,
        "bits": bits,
        "level": level,
        "radius_multiplier": radius_multiplier,
        "stereo": stereo,
        "counts": counts,
        "include_disconnected": include_disconnected,
        "rdkit_invariants": rdkit_invariants,
        "exclude_floating": exclude_floating,
        "out_dir_base": out_dir_base,
        "out_ext": out_ext,
        "all_iters": all_iters,
        "overwrite": overwrite,
        "save": False
    }
    if out_dir_base is not None:
        fp_kwargs['save'] = True

    run_kwargs = {"kwargs": fp_kwargs}

    results_iter = para.run_gen(fprints_dict_from_sdf, data_iterator,
                                **run_kwargs)

    if db_file is not None:
        fprints = []
        for result, data in results_iter:
            try:
                fprints.extend(result.get(level, result[max(result.keys())]))
            except (AttributeError, ValueError):
                # fprinting failed, assume logged in method
                continue
        if len(fprints) > 0:
            db = FingerprintDatabase(fp_type=type(fprints[0]), level=level)
            db.add_fingerprints(fprints)
            db.save(db_file)
            logging.info("Saved fingerprints to {:s}".format(db_file))
    else:
        list(results_iter)