-
Notifications
You must be signed in to change notification settings - Fork 59
Expand file tree
/
Copy pathtest_type.py
More file actions
54 lines (45 loc) · 1.86 KB
/
test_type.py
File metadata and controls
54 lines (45 loc) · 1.86 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
# Copyright 2022 The FeatHub Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
from typing import cast
import numpy as np
from feathub.common import types
from feathub.common.exceptions import FeathubTypeException
from feathub.common.types import to_numpy_dtype, from_numpy_dtype
class TypesTest(unittest.TestCase):
def test_numpy_type_conversion(self):
datatypes = [
types.String,
types.Int32,
types.Int64,
types.Float32,
types.Float64,
types.String,
types.Unknown,
types.Bool,
]
for dtype in datatypes:
self.assertEquals(dtype, from_numpy_dtype(to_numpy_dtype(dtype)))
def test_converting_unsupported_type(self):
with self.assertRaises(FeathubTypeException):
to_numpy_dtype(types.Timestamp)
with self.assertRaises(FeathubTypeException):
from_numpy_dtype(np.int16)
def test_multi_level_composite_type(self):
key_type = types.VectorType(types.Int64)
element_type = types.MapType(key_type, types.Int64)
dtype = types.VectorType(element_type)
self.assertEqual(element_type, dtype.dtype)
self.assertEqual(key_type, cast(types.MapType, dtype.dtype).key_dtype)
self.assertEqual(types.Int64, cast(types.MapType, dtype.dtype).value_dtype)