Coverage for python/lsst/daf/butler/delegates/arrownumpydict.py: 94%
24 statements
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« prev ^ index » next coverage.py v7.2.7, created at 2023-06-23 09:29 +0000
1# This file is part of daf_butler.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (http://www.lsst.org).
6# See the COPYRIGHT file at the top-level directory of this distribution
7# for details of code ownership.
8#
9# This program is free software: you can redistribute it and/or modify
10# it under the terms of the GNU General Public License as published by
11# the Free Software Foundation, either version 3 of the License, or
12# (at your option) any later version.
13#
14# This program is distributed in the hope that it will be useful,
15# but WITHOUT ANY WARRANTY; without even the implied warranty of
16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17# GNU General Public License for more details.
18#
19# You should have received a copy of the GNU General Public License
20# along with this program. If not, see <http://www.gnu.org/licenses/>.
22"""Support for reading dictionaries of numpy arrays with the Arrow
23formatter.
24"""
25from __future__ import annotations
27from typing import Any
29import numpy as np
30from lsst.daf.butler.formatters.parquet import ArrowNumpySchema, _numpy_dict_to_dtype
31from lsst.utils.introspection import get_full_type_name
33from .arrowtable import ArrowTableDelegate
35__all__ = ["ArrowNumpyDictDelegate"]
38class ArrowNumpyDictDelegate(ArrowTableDelegate):
39 _datasetType = dict
41 def getComponent(self, composite: dict[str, np.ndarray], componentName: str) -> Any:
42 """Get a component from a dict of numpy arrays stored via
43 ArrowNumpyDict.
45 Parameters
46 ----------
47 composite : `~numpy.ndarray`
48 Numpy table to access component.
49 componentName : `str`
50 Name of component to retrieve.
52 Returns
53 -------
54 component : `object`
55 The component.
57 Raises
58 ------
59 AttributeError
60 The component can not be found.
61 """
62 match componentName:
63 case "columns":
64 return list(composite.keys())
65 case "schema":
66 dtype, _ = _numpy_dict_to_dtype(composite)
67 return ArrowNumpySchema(dtype)
68 case "rowcount": 68 ↛ 71line 68 didn't jump to line 71, because the pattern on line 68 never matched
69 return len(composite[list(composite.keys())[0]])
71 raise AttributeError(
72 f"Do not know how to retrieve component {componentName} from {get_full_type_name(composite)}"
73 )
75 def _getColumns(self, inMemoryDataset: dict[str, np.ndarray]) -> list[str]:
76 return list(inMemoryDataset.keys())
78 def _selectColumns(
79 self, inMemoryDataset: dict[str, np.ndarray], columns: list[str]
80 ) -> dict[str, np.ndarray]:
81 return {column: inMemoryDataset[column] for column in columns}