"""Unit tests for the one.converters module"""
import unittest
from unittest import mock
from pathlib import Path, PurePosixPath, PureWindowsPath
from uuid import UUID, uuid4
import datetime
import pandas as pd
from one.api import ONE
from one import converters
from one.alf.path import add_uuid_string
from one.alf.cache import EMPTY_DATASETS_FRAME
from one.alf.path import ALFPath, PurePosixALFPath, PureWindowsALFPath
from . import util, OFFLINE_ONLY, TEST_DB_2
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class TestConverters(unittest.TestCase):
tempdir = None
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@classmethod
def setUpClass(cls) -> None:
cls.tempdir = util.set_up_env()
# Create ONE object with temp cache dir
cls.one = ONE(mode='local', cache_dir=cls.tempdir.name)
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def test_to_eid(self):
expected = 'd3372b15-f696-4279-9be5-98f15783b5bb'
# Path str
eid = self.one.to_eid('ZFM-01935/2021-02-05/001')
self.assertEqual(eid, expected)
# eid
eid = self.one.to_eid(eid)
self.assertEqual(eid, expected)
# Path
session_path = Path(self.one.cache_dir).joinpath(
'mainenlab', 'Subjects', 'ZFM-01935', '2021-02-05', '001', 'alf'
)
eid = self.one.to_eid(session_path)
self.assertEqual(eid, expected)
# exp ref str
eid = self.one.to_eid('2021-02-05_001_ZFM-01935')
self.assertEqual(eid, expected)
# UUID
eid = self.one.to_eid(UUID(eid))
self.assertEqual(eid, expected)
# session URL
base_url = 'https://alyx.internationalbrainlab.org/'
eid = self.one.to_eid(base_url + 'sessions/' + eid)
self.assertEqual(eid, expected)
# None
self.assertIsNone(self.one.to_eid(None))
# Test value errors
with self.assertRaises(ValueError):
self.one.to_eid('fakeid')
with self.assertRaises(ValueError):
self.one.to_eid(util)
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def test_path2eid(self):
"""Test for ConversionMixin.path2eid (offline mode)"""
verifiable = self.one.path2eid('CSK-im-007/2021-03-21/002')
self.assertIsNone(verifiable)
verifiable = self.one.path2eid('ZFM-01935/2021-02-05/001')
expected = 'd3372b15-f696-4279-9be5-98f15783b5bb'
self.assertEqual(verifiable, expected)
session_path = Path.home().joinpath('mainenlab', 'Subjects', 'ZFM-01935',
'2021-02-05', '001', 'alf')
verifiable = self.one.path2eid(session_path)
self.assertEqual(verifiable, expected)
# Test short circuit
with mock.patch.object(self.one._cache, 'sessions', new=pd.DataFrame([])):
self.assertIsNone(self.one.path2eid(session_path))
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def test_eid2path(self):
"""Test for ConversionMixin.eid2path"""
eid = 'd3372b15-f696-4279-9be5-98f15783b5bb'
verifiable = self.one.eid2path(eid)
expected = ALFPath(self.tempdir.name).joinpath(
'mainenlab', 'Subjects', 'ZFM-01935', '2021-02-05', '001')
self.assertIsInstance(verifiable, ALFPath)
self.assertEqual(expected, verifiable)
with self.assertRaises(ValueError):
self.one.eid2path('fakeid')
self.assertIsNone(self.one.eid2path(eid.replace('d', 'b')))
# Test list
verifiable = self.one.eid2path([eid, eid])
self.assertIsInstance(verifiable, list)
self.assertTrue(len(verifiable) == 2)
# Test short circuit
with mock.patch.object(self.one._cache, 'sessions', new=pd.DataFrame([])):
self.assertIsNone(self.one.eid2path(eid))
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def test_eid2ref(self):
eid = 'd3372b15-f696-4279-9be5-98f15783b5bb'
verifiable = self.one.eid2ref(eid, parse=False, as_dict=True)
expected = {'subject': 'ZFM-01935', 'date': '2021-02-05', 'sequence': '001'}
self.assertCountEqual(expected, verifiable)
verifiable = self.one.eid2ref(eid, parse=True, as_dict=True)
expected = {'subject': 'ZFM-01935', 'date': datetime.date(2021, 2, 5), 'sequence': 1}
self.assertCountEqual(expected, verifiable)
verifiable = self.one.eid2ref(eid, parse=False, as_dict=False)
self.assertCountEqual('2021-02-05_001_ZFM-01935', verifiable)
verifiable = self.one.eid2ref(eid, parse=True, as_dict=False)
self.assertCountEqual('2021-02-05_1_ZFM-01935', verifiable)
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def test_path2record(self):
"""Tests for ConversionMixin.path2record method"""
file = Path(self.tempdir.name).joinpath('cortexlab', 'Subjects', 'KS005', '2019-04-02',
'001', 'alf', '_ibl_wheel.position.npy')
rec = self.one.path2record(file)
self.assertIsInstance(rec, pd.Series)
self.assertTrue(file.as_posix().endswith(rec['rel_path']))
# Test URL
uuid = '6cbb724e-c7ec-4eab-b24b-555001502d10'
parts = add_uuid_string(file, uuid).parts[-7:]
url = TEST_DB_2['base_url'] + '/'.join(('', *parts))
rec = self.one.path2record(url)
self.assertIsInstance(rec, pd.Series)
self.assertTrue(file.as_posix().endswith(rec['rel_path']))
# With a UUID missing from cache, should return None
uuid = '94285bfd-7500-4583-83b1-906c420cc667'
parts = add_uuid_string(file, uuid).parts[-7:]
url = TEST_DB_2['base_url'] + '/'.join(('', *parts))
self.assertIsNone(self.one.path2record(url))
file = file.parent / '_fake_obj.attr.npy'
self.assertIsNone(self.one.path2record(file))
# Test short circuit
empty = self.one._cache.datasets.iloc[0:0].copy()
with mock.patch.object(self.one._cache, 'datasets', new=empty):
self.assertIsNone(self.one.path2record(file))
# Test empty session
with mock.patch.object(self.one._cache, 'datasets', new=self.one._cache.datasets.iloc[:2]):
self.assertIsNone(self.one.path2record(file))
# Test session path input
session_path = Path(self.tempdir.name).joinpath(
'cortexlab', 'Subjects', 'KS005', '2019-04-02', '001'
)
rec = self.one.path2record(session_path)
self.assertIsInstance(rec, pd.Series)
self.assertEqual(rec.name, 'bc93a3b2-070d-47a8-a2b8-91b3b6e9f25c')
with mock.patch.object(self.one._cache, 'sessions', new=empty):
self.assertIsNone(self.one.path2record(session_path))
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def test_is_exp_ref(self):
ref = {'date': datetime.datetime(2018, 7, 13).date(), 'sequence': 1, 'subject': 'flowers'}
self.assertTrue(self.one.is_exp_ref(ref))
self.assertTrue(self.one.is_exp_ref('2018-07-13_001_flowers'))
self.assertTrue(self.one.is_exp_ref('2018-07-13_1_flowers'))
self.assertTrue(self.one.is_exp_ref('2023-03-14_11_HB_003'))
self.assertFalse(self.one.is_exp_ref('2018-invalid_ref-s'))
# Test recurse
refs = ('2018-07-13_001_flowers', '2018-07-13_1_flowers')
self.assertTrue(all(self.one.is_exp_ref(refs)))
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def test_ref2dict(self):
# Test ref string (none padded)
d = self.one.ref2dict('2018-07-13_1_flowers')
expected = {'date': datetime.date(2018, 7, 13), 'sequence': 1, 'subject': 'flowers'}
self.assertEqual(d, expected)
# Test short circuit
self.assertEqual(self.one.ref2dict(d), expected)
# Test padded number and parse
d = self.one.ref2dict('2018-07-13_001_flowers', parse=False)
expected = {'date': '2018-07-13', 'sequence': '001', 'subject': 'flowers'}
self.assertEqual(d, expected)
# Test list input
d = self.one.ref2dict(['2018-07-13_1_flowers', '2020-01-23_002_ibl_witten_01'])
expected = [
{'date': datetime.date(2018, 7, 13), 'sequence': 1, 'subject': 'flowers'},
{'date': datetime.date(2020, 1, 23), 'sequence': 2, 'subject': 'ibl_witten_01'}
]
self.assertEqual(d, expected)
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def test_dict2ref(self):
d1 = {'date': '2018-07-13', 'sequence': '001', 'subject': 'flowers'}
self.assertEqual(self.one.dict2ref(d1), '2018-07-13_001_flowers')
d2 = {'date': datetime.date(2018, 7, 13), 'sequence': 1, 'subject': 'flowers'}
self.assertEqual(self.one.dict2ref(d2), '2018-07-13_1_flowers')
self.assertIsNone(self.one.dict2ref({}))
expected = ['2018-07-13_001_flowers', '2018-07-13_1_flowers']
self.assertCountEqual(expected, self.one.dict2ref([d1, d2]))
d3 = {'start_time': '2023-04-07T17:34:11.403825', 'number': '001', 'subject': 'flowers'}
self.assertEqual(self.one.dict2ref(d3), '2023-04-07_001_flowers')
start_date_time = datetime.datetime.fromisoformat(d3['start_time'])
d4 = {'start_time': start_date_time, 'number': 1, 'subject': 'flowers'}
self.assertEqual(self.one.dict2ref(d4), '2023-04-07_1_flowers')
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def test_path2ref(self):
path_str = Path('E:/FlatIron/Subjects/zadorlab/flowers/2018-07-13/001')
ref = self.one.path2ref(path_str)
expected = {'subject': 'flowers', 'date': datetime.date(2018, 7, 13), 'sequence': 1}
self.assertEqual(expected, ref)
ref = self.one.path2ref(path_str, as_dict=False)
expected = '2018-07-13_001_flowers'
self.assertEqual(expected, ref)
expected = {'subject': 'flowers', 'date': '2018-07-13', 'sequence': '001'}
ref = self.one.path2ref(path_str, parse=False)
self.assertEqual(expected, ref)
path_str2 = 'E:/FlatIron/Subjects/churchlandlab/CSHL046/2020-06-20/002'
refs = self.one.path2ref([path_str, path_str2])
expected = [
{'subject': 'flowers', 'date': datetime.date(2018, 7, 13), 'sequence': 1},
{'subject': 'CSHL046', 'date': datetime.date(2020, 6, 20), 'sequence': 2}
]
self.assertCountEqual(expected, refs)
# Check support of non-zero-padded sequences
ref = self.one.path2ref(path_str.with_name('1'), as_dict=False)
self.assertEqual('2018-07-13_1_flowers', ref)
# The regex matches sequence length between 1 and 3. If zero-padded, must be 3 digits.
path_str4 = path_str.with_name('01')
self.assertIsNone(self.one.path2ref(path_str4, as_dict=False))
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def test_ref2path(self):
ref = {'subject': 'flowers', 'date': datetime.datetime(2018, 7, 13).date(), 'sequence': 1}
path = self.one.ref2path(ref)
self.assertIsInstance(path, Path)
self.assertTrue(path.as_posix().endswith('zadorlab/Subjects/flowers/2018-07-13/001'))
paths = self.one.ref2path(['2018-07-13_1_flowers', '2019-04-11_1_KS005'])
expected = ['zadorlab/Subjects/flowers/2018-07-13/001',
'cortexlab/Subjects/KS005/2019-04-11/001']
self.assertTrue(all(x.as_posix().endswith(y) for x, y in zip(paths, expected)))
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@unittest.skipIf(OFFLINE_ONLY, 'online only tests')
class TestOnlineConverters(unittest.TestCase):
"""Currently these methods hit the /docs endpoint"""
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@classmethod
def setUpClass(cls) -> None:
# Create ONE object with temp cache dir
cls.one = ONE(**TEST_DB_2)
cls.eid = '4ecb5d24-f5cc-402c-be28-9d0f7cb14b3a'
cls.pid = 'da8dfec1-d265-44e8-84ce-6ae9c109b8bd'
cls.session_record = cls.one.get_details(cls.eid)
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def test_to_eid(self):
"""Test for ConversionMixin.to_eid"""
eid = self.one.to_eid(self.session_record)
self.assertEqual(eid, self.eid)
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def test_record2url(self):
"""Test for ConversionMixin.record2url"""
rec = self.one.get_details(self.eid, full=True, query_type='local')
idx = rec.rel_path == 'alf/probe00/_phy_spikes_subset.channels.npy'
# As pd.Series
url = self.one.record2url(rec[idx].squeeze())
expected = ('https://ibl.flatironinstitute.org/public/hoferlab/Subjects/'
'SWC_043/2020-09-21/001/alf/probe00/'
'_phy_spikes_subset.channels.00c234a3-a4ff-4f97-a522-939d15528a45.npy')
self.assertEqual(expected, url)
# As pd.DataFrame
url = self.one.record2url(rec[idx])
self.assertEqual([expected], url)
# Session record
rec = self.one._cache['sessions'].loc[self.eid]
url = self.one.record2url(rec)
expected = 'https://ibl.flatironinstitute.org/public/' \
'hoferlab/Subjects/SWC_043/2020-09-21/001'
self.assertEqual(expected, url)
# Check type checking
self.assertRaises(TypeError, self.one.record2url, rec.to_dict())
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def test_record2path(self):
"""Test for ConversionMixin.record2path"""
rec = self.one.get_details(self.eid, full=True, query_type='local')
# As pd.Series
alf_path = ('hoferlab/Subjects/SWC_043/2020-09-21/001/'
'alf/probe00/_phy_spikes_subset.channels.npy')
expected = ALFPath(self.one.alyx.cache_dir).joinpath(*alf_path.split('/'))
data_id = '00c234a3-a4ff-4f97-a522-939d15528a45'
path = self.one.record2path(rec.loc[(self.eid, data_id)])
self.assertIsInstance(path, ALFPath)
self.assertEqual(expected, path)
# As pd.DataFrame
idx = rec.rel_path == 'alf/probe00/_phy_spikes_subset.channels.npy'
path = self.one.record2path(rec[idx])
self.assertEqual([expected], path)
# Test validation
self.assertRaises(AssertionError, self.one.record2path, rec[idx].droplevel(0)) # no eid
self.assertRaises(TypeError, self.one.record2path, rec[idx].to_dict())
unknown = rec[idx].squeeze().rename(index=(str(uuid4()), data_id))
self.assertRaises(ValueError, self.one.record2path, unknown) # unknown eid
# With UUID in file name
try:
self.one.uuid_filenames = True
expected = expected.with_suffix(f'.{data_id}.npy')
self.assertEqual([expected], self.one.record2path(rec[idx])) # as pd.DataFrame
verifiable = self.one.record2path(rec[idx].squeeze())
self.assertEqual(expected, verifiable) # as pd.Series
self.assertIsInstance(verifiable, ALFPath)
finally:
self.one.uuid_filenames = False
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def test_eid2path(self):
"""Test for OneAlyx.eid2path"""
verifiable = self.one.eid2path(self.eid, query_type='remote')
expected = ALFPath(self.one.cache_dir).joinpath(
'hoferlab', 'Subjects', 'SWC_043', '2020-09-21', '001',)
self.assertIsInstance(verifiable, ALFPath)
self.assertEqual(expected, verifiable)
with self.assertRaises(ValueError):
self.one.eid2path('fakeid', query_type='remote')
self.assertIsNone(self.one.eid2path(self.eid.replace('d', 'b')))
# Test list
verifiable = self.one.eid2path([self.eid, self.eid], query_type='remote')
self.assertIsInstance(verifiable, list)
self.assertTrue(len(verifiable) == 2)
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def test_path2eid(self):
"""Test for OneAlyx.path2eid method."""
test_path = Path(self.one.cache_dir).joinpath('hoferlab', 'Subjects', 'SWC_043',
'2020-09-21', '001',)
verifiable = self.one.path2eid(test_path, query_type='remote')
self.assertEqual(self.eid, verifiable)
# Check works with list
verifiable = self.one.path2eid([test_path, test_path], query_type='remote')
self.assertEqual([self.eid, self.eid], verifiable)
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def test_pid2eid(self):
"""Test for OneAlyx.pid2eid method."""
self.assertRaises(NotImplementedError, self.one.pid2eid, self.pid, query_type='local')
self.assertEqual((self.eid, 'probe00'), self.one.pid2eid(self.pid))
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def test_eid2pid(self):
"""Test for OneAlyx.eid2pid method."""
self.assertRaises(NotImplementedError, self.one.eid2pid, self.eid, query_type='local')
# Check invalid eid
self.assertEqual((None, None), self.one.eid2pid(None))
self.assertEqual((None, None, None), self.one.eid2pid(None, details=True))
# Check valid eid
expected = ([self.pid, '6638cfb3-3831-4fc2-9327-194b76cf22e1'], ['probe00', 'probe01'])
self.assertEqual(expected, self.one.eid2pid(self.eid))
*_, det = self.one.eid2pid(self.eid, details=True)
self.assertEqual(2, len(det))
expected_keys = {'id', 'name', 'model', 'serial'}
for d in det:
self.assertTrue(set(d.keys()) >= expected_keys)
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def test_ses2records(self):
"""Test one.converters.ses2records function."""
ses = self.one.alyx.rest('sessions', 'read', id=self.eid)
session, datasets = converters.ses2records(ses)
# Verify returned tables are compatible with cache tables
self.assertIsInstance(session, pd.Series)
self.assertIsInstance(datasets, pd.DataFrame)
self.assertEqual(session.name, self.eid)
self.assertCountEqual(session.keys(), self.one._cache['sessions'].columns)
self.assertEqual(len(datasets), len(ses['data_dataset_session_related']))
expected = list(EMPTY_DATASETS_FRAME.columns) + ['default_revision']
self.assertCountEqual(expected, datasets.columns)
self.assertEqual(tuple(datasets.index.names), ('eid', 'id'))
self.assertIsInstance(datasets.qc.dtype, pd.CategoricalDtype)
# Check behaviour when no datasets present
ses['data_dataset_session_related'] = []
_, datasets = converters.ses2records(ses)
self.assertTrue(datasets.empty)
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def test_datasets2records(self):
"""Test one.converters.datasets2records function."""
dsets = self.one.alyx.rest('datasets', 'list', session=self.eid)
datasets = converters.datasets2records(dsets)
# Verify returned tables are compatible with cache tables
self.assertIsInstance(datasets, pd.DataFrame)
self.assertTrue(len(datasets) >= len(dsets))
expected = list(EMPTY_DATASETS_FRAME.columns) + ['default_revision']
self.assertCountEqual(expected, datasets.columns)
self.assertEqual(tuple(datasets.index.names), ('eid', 'id'))
self.assertIsInstance(datasets.qc.dtype, pd.CategoricalDtype)
# Test extracts additional fields
fields = ('url', 'auto_datetime')
datasets = converters.datasets2records(dsets, additional=fields)
self.assertTrue(set(datasets.columns) >= set(fields))
self.assertTrue(all(datasets['url'].str.startswith('http')))
# Test single input
dataset = converters.datasets2records(dsets[0])
self.assertTrue(len(dataset) == 1)
# Test records when data missing
for fr in dsets[0]['file_records']:
fr['exists'] = False
empty = converters.datasets2records(dsets[0])
self.assertTrue(isinstance(empty, pd.DataFrame) and empty.empty)
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class TestAlyx2Path(unittest.TestCase):
dset = {
'url': 'https://alyx.internationalbrainlab.org/'
'datasets/00059298-1b33-429c-a802-fa51bb662d72',
'name': 'channels.localCoordinates.npy', 'created_by': 'nate',
'created_datetime': '2020-02-07T22:08:08.053982',
'dataset_type': 'channels.localCoordinates', 'data_format': 'npy',
'collection': 'alf/probe00',
'session': ('https://alyx.internationalbrainlab.org/'
'sessions/7cffad38-0f22-4546-92b5-fd6d2e8b2be9'),
'file_size': 6064, 'hash': 'bc74f49f33ec0f7545ebc03f0490bdf6', 'version': '1.5.36',
'experiment_number': 1,
'file_records': [
{'id': 'c9ae1b6e-03a6-41c9-9e1b-4a7f9b5cfdbf', 'data_repository': 'ibl_floferlab_SR',
'data_repository_path': '/mnt/s0/Data/Subjects/',
'relative_path': 'SWC_014/2019-12-11/001/alf/probe00/channels.localCoordinates.npy',
'data_url': None, 'exists': True},
{'id': 'f434a638-bc61-4695-884e-70fd1e521d60', 'data_repository': 'flatiron_hoferlab',
'data_repository_path': '/hoferlab/Subjects/',
'relative_path': 'SWC_014/2019-12-11/001/alf/probe00/channels.localCoordinates.npy',
'data_url': (
'https://ibl.flatironinstitute.org/hoferlab/Subjects/SWC_014/2019-12-11/001/'
'alf/probe00/channels.localCoordinates.00059298-1b33-429c-a802-fa51bb662d72.npy'),
'exists': True}],
'auto_datetime': '2021-02-10T20:24:31.484939'}
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def test_dsets_2_path(self):
one_path = ('/one_root/hoferlab/Subjects/SWC_014/2019-12-11/001/alf/probe00/'
'channels.localCoordinates.npy')
# Test one_path_from_dataset
root = PurePosixPath('/one_root')
testable = converters.one_path_from_dataset(self.dset, one_cache=root)
self.assertIsInstance(testable, PurePosixALFPath)
self.assertEqual(str(testable), one_path)
# Check list input
testable = converters.one_path_from_dataset([self.dset], one_cache=root)
self.assertIsInstance(testable, list)
# Check handles string inputs
testable = converters.one_path_from_dataset(self.dset, one_cache='/one_root')
self.assertTrue(hasattr(testable, 'is_absolute'), 'Failed to return Path object')
self.assertIsInstance(testable, ALFPath)
self.assertEqual(str(testable).replace('\\', '/'), one_path)
# Test one_path_from_dataset using Windows path
one_path = PureWindowsPath(r'C:/Users/User/')
testable = converters.one_path_from_dataset(self.dset, one_cache=one_path)
self.assertIsInstance(testable, PureWindowsALFPath)
self.assertTrue(str(testable).startswith(str(one_path)))
self.assertTrue('hoferlab/Subjects' in testable.as_posix())
# Check repository arg
testable = converters.path_from_dataset(self.dset,
root_path=root, repository='ibl_floferlab_SR')
self.assertTrue('mnt/s0/Data/Subjects' in testable.as_posix())
# Tests path_from_filerecord: when given a string, a system path object should be returned
fr = self.dset['file_records'][0]
testable = converters.path_from_filerecord(fr, root_path='C:\\')
self.assertIsInstance(testable, ALFPath)
# Check list
testable = converters.path_from_filerecord([fr], root_path='C:\\')
self.assertIsInstance(testable, list)
# Check uuid
uuid = '00059298-1b33-429c-a802-fa51bb662d72'
testable = converters.path_from_filerecord(fr, root_path='C:\\', uuid=uuid)
self.assertTrue(uuid in testable.as_posix())
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def test_session_record2path(self):
"""Test for one.converters.session_record2path"""
rec = {'subject': 'ALK01', 'date': '2020-01-01', 'number': 1}
path = converters.session_record2path(rec)
self.assertIsInstance(path, PurePosixALFPath)
self.assertEqual(path, PurePosixALFPath('ALK01/2020-01-01/001'))
rec = {'date': datetime.datetime.fromisoformat('2020-01-01').date(),
'number': '001', 'lab': 'foo', 'subject': 'ALK01'}
path = converters.session_record2path(rec, str(Path.home()))
self.assertIsInstance(path, ALFPath)
self.assertEqual(path, Path.home() / 'foo/Subjects/ALK01/2020-01-01/001')
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class TestWrappers(unittest.TestCase):
[docs]
def test_recurse(self):
# Check accepts different numbers of input args
wrapped = converters.recurse(lambda x, y, z: y * 2)
self.assertEqual(wrapped(1, 2, 3), 4)
wrapped = converters.recurse(lambda x, y: y * 2)
self.assertEqual(wrapped(1, 2), 4)
wrapped = converters.recurse(lambda: 8)
self.assertEqual(wrapped(), 8)
# Check recurse of lists/tuples
wrapped = converters.recurse(lambda x, y: y * 2)
self.assertEqual(wrapped(None, [1, 2, 3, 4]), [2, 4, 6, 8])
self.assertEqual(wrapped(None, (1, 2, 3, 4)), [2, 4, 6, 8])
[docs]
def test_parse_values(self):
wrapped = converters.parse_values(lambda x: x)
# Check ignores when str
ref = 'subject_1_2021-01-01'
self.assertEqual(ref, wrapped(ref, parse=True))
# Check parse values false (should be identity)
ref = {'subject': 'flowers', 'sequence': '001', 'date': '2021-01-01'}
self.assertEqual(ref, wrapped(ref.copy(), parse=False))
# Check parse values true (should change sequence and date)
expected = {'subject': 'flowers', 'sequence': 1, 'date': datetime.date(2021, 1, 1)}
self.assertEqual(expected, wrapped(ref.copy(), parse=True))
# Check handles datetime ISO
ref['date'] += 'T14:53:53.586024'
self.assertEqual(expected, wrapped(ref.copy(), parse=True))
# Check handles list
self.assertIsInstance(wrapped([ref.copy(), expected], parse=True), list)
if __name__ == "__main__":
unittest.main(exit=False)