Exemple #1
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def _dset2rawniml_datatypes(s):
    data = s['data']
    _, ncols = _dset_nrows_ncols(s)
    # XXX does not support mixed types
    datatype = ['Generic_Int' if types.numpy_data_isint(data) else 'Generic_Float'] * ncols
    return dict(atr_name='COLMS_TYPE',
                data=datatype)
Exemple #2
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def _dset2rawniml_datatypes(s):
    data = s['data']
    _, ncols = _dset_nrows_ncols(s)
    # XXX does not support mixed types
    datatype = [
        'Generic_Int' if types.numpy_data_isint(data) else 'Generic_Float'
    ] * ncols
    return dict(atr_name='COLMS_TYPE', data=datatype)
Exemple #3
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def _dset2rawniml_datatypes(s):
    data = s["data"]
    _, ncols = _dset_nrows_ncols(s)
    # XXX does not support mixed types
    datatype = ["Generic_Int" if types.numpy_data_isint(data) else "Generic_Float"] * ncols
    return dict(atr_name="COLMS_TYPE", data=datatype)
Exemple #4
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def _dset2rawniml_datatypes(s):
    data = s['data']
    ncols = data.shape[1]
    datatype = ['Generic_Int' if types.numpy_data_isint(data) else 'Generic_Float'] * ncols
    return dict(atr_name='COLMS_TYPE',
                data=datatype)