INNER CODE UNIT · Python

n_sample

BigDataBiology/SemiBin · SemiBin/main.py:1170

        n_sample = (data.shape[1] - 136) // 2 if not is_combined else (data.shape[1] - 136)
    else:
        is_combined = False
        n_sample = 1
        depth_metabat2 = pd.read_csv(depth_metabat2, sep='\t')
        depth_metabat2.set_index(['contigName'], inplace=True)
        depth_metabat2.drop(['contigLen', 'totalAvgDepth'], axis=1, inplace=True)
        depth_metabat2.index.name = None
        data = pd.merge(data, depth_metabat2, how='inner', on=None,
                 left_index=True, right_index=True, sort=False)
        if data.shape[1] != 138:
            logger.error(
                "Depth file from Metabat2 can only be used for single-sample binning!")
            sys.exit(1)

    model_path = model_path if environment is None else get_model_path(environment)
    if environment is not None:
        if data.shape[1] != 138:

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