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1 | # Licensed to the Apache Software Foundation (ASF) under one |
2 | # or more contributor license agreements. See the NOTICE file | |
3 | # distributed with this work for additional information | |
4 | # regarding copyright ownership. The ASF licenses this file | |
5 | # to you under the Apache License, Version 2.0 (the | |
6 | # "License"); you may not use this file except in compliance | |
7 | # with the License. You may obtain a copy of the License at | |
8 | # | |
9 | # http://www.apache.org/licenses/LICENSE-2.0 | |
10 | # | |
11 | # Unless required by applicable law or agreed to in writing, | |
12 | # software distributed under the License is distributed on an | |
13 | # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | |
14 | # KIND, either express or implied. See the License for the | |
15 | # specific language governing permissions and limitations | |
16 | # under the License. | |
17 | ||
18 | # This file is called from a test in test_schema.py. | |
19 | ||
20 | import pyarrow as pa | |
21 | ||
22 | ||
23 | # the types where to_pandas_dtype returns a non-numpy dtype | |
24 | cases = [ | |
25 | (pa.timestamp('ns', tz='UTC'), "datetime64[ns, UTC]"), | |
26 | ] | |
27 | ||
28 | ||
29 | for arrow_type, pandas_type in cases: | |
30 | assert str(arrow_type.to_pandas_dtype()) == pandas_type |