|
1 |
| -from nose.tools import assert_equal |
| 1 | +import pytest |
2 | 2 | from . import PREFIX, CONN_INFO
|
3 | 3 | import numpy as np
|
4 | 4 | import datajoint as dj
|
5 | 5 |
|
6 |
| -schema = dj.Schema(PREFIX + "_fetch_same", connection=dj.conn(**CONN_INFO)) |
| 6 | + |
| 7 | +class ProjData(dj.Manual): |
| 8 | + definition = """ |
| 9 | + id : int |
| 10 | + --- |
| 11 | + resp : float |
| 12 | + sim : float |
| 13 | + big : longblob |
| 14 | + blah : varchar(10) |
| 15 | + """ |
| 16 | + |
| 17 | + |
| 18 | +@pytest.fixture |
| 19 | +def schema_fetch_same(connection_root): |
| 20 | + schema = dj.Schema( |
| 21 | + PREFIX + "_fetch_same", |
| 22 | + context=dict(ProjData=ProjData), |
| 23 | + connection=connection_root, |
| 24 | + ) |
| 25 | + schema(ProjData) |
| 26 | + ProjData().insert( |
| 27 | + [ |
| 28 | + {"id": 0, "resp": 20.33, "sim": 45.324, "big": 3, "blah": "yes"}, |
| 29 | + { |
| 30 | + "id": 1, |
| 31 | + "resp": 94.3, |
| 32 | + "sim": 34.23, |
| 33 | + "big": {"key1": np.random.randn(20, 10)}, |
| 34 | + "blah": "si", |
| 35 | + }, |
| 36 | + { |
| 37 | + "id": 2, |
| 38 | + "resp": 1.90, |
| 39 | + "sim": 10.23, |
| 40 | + "big": np.random.randn(4, 2), |
| 41 | + "blah": "sim", |
| 42 | + }, |
| 43 | + ] |
| 44 | + ) |
| 45 | + yield schema |
| 46 | + schema.drop() |
| 47 | + |
| 48 | + |
| 49 | +@pytest.fixture |
| 50 | +def projdata(): |
| 51 | + yield ProjData() |
7 | 52 |
|
8 | 53 |
|
9 | 54 | class TestFetchSame:
|
10 |
| - @classmethod |
11 |
| - def setup_class(cls): |
12 |
| - @schema |
13 |
| - class ProjData(dj.Manual): |
14 |
| - definition = """ |
15 |
| - id : int |
16 |
| - --- |
17 |
| - resp : float |
18 |
| - sim : float |
19 |
| - big : longblob |
20 |
| - blah : varchar(10) |
21 |
| - """ |
22 |
| - |
23 |
| - ProjData().insert( |
24 |
| - [ |
25 |
| - {"id": 0, "resp": 20.33, "sim": 45.324, "big": 3, "blah": "yes"}, |
26 |
| - { |
27 |
| - "id": 1, |
28 |
| - "resp": 94.3, |
29 |
| - "sim": 34.23, |
30 |
| - "big": {"key1": np.random.randn(20, 10)}, |
31 |
| - "blah": "si", |
32 |
| - }, |
33 |
| - { |
34 |
| - "id": 2, |
35 |
| - "resp": 1.90, |
36 |
| - "sim": 10.23, |
37 |
| - "big": np.random.randn(4, 2), |
38 |
| - "blah": "sim", |
39 |
| - }, |
40 |
| - ] |
41 |
| - ) |
42 |
| - |
43 |
| - cls.projdata = ProjData() |
44 |
| - |
45 |
| - def test_object_conversion_one(self): |
46 |
| - new = self.projdata.proj(sub="resp").fetch("sub") |
47 |
| - assert_equal(new.dtype, np.float64) |
48 |
| - |
49 |
| - def test_object_conversion_two(self): |
50 |
| - [sub, add] = self.projdata.proj(sub="resp", add="sim").fetch("sub", "add") |
51 |
| - assert_equal(sub.dtype, np.float64) |
52 |
| - assert_equal(add.dtype, np.float64) |
53 |
| - |
54 |
| - def test_object_conversion_all(self): |
55 |
| - new = self.projdata.proj(sub="resp", add="sim").fetch() |
56 |
| - assert_equal(new["sub"].dtype, np.float64) |
57 |
| - assert_equal(new["add"].dtype, np.float64) |
58 |
| - |
59 |
| - def test_object_no_convert(self): |
60 |
| - new = self.projdata.fetch() |
61 |
| - assert_equal(new["big"].dtype, "object") |
62 |
| - assert_equal(new["blah"].dtype, "object") |
| 55 | + def test_object_conversion_one(self, schema_fetch_same, projdata): |
| 56 | + new = projdata.proj(sub="resp").fetch("sub") |
| 57 | + assert new.dtype == np.float64 |
| 58 | + |
| 59 | + def test_object_conversion_two(self, schema_fetch_same, projdata): |
| 60 | + [sub, add] = projdata.proj(sub="resp", add="sim").fetch("sub", "add") |
| 61 | + assert sub.dtype == np.float64 |
| 62 | + assert add.dtype == np.float64 |
| 63 | + |
| 64 | + def test_object_conversion_all(self, schema_fetch_same, projdata): |
| 65 | + new = projdata.proj(sub="resp", add="sim").fetch() |
| 66 | + assert new["sub"].dtype == np.float64 |
| 67 | + assert new["add"].dtype == np.float64 |
| 68 | + |
| 69 | + def test_object_no_convert(self, schema_fetch_same, projdata): |
| 70 | + new = projdata.fetch() |
| 71 | + assert new["big"].dtype == "object" |
| 72 | + assert new["blah"].dtype == "object" |
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