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- # -*- coding: utf-8 -*-
- """
- Tests of the neo.core.block.Block class
- """
- # needed for python 3 compatibility
- from __future__ import absolute_import, division, print_function
- from datetime import datetime
- try:
- import unittest2 as unittest
- except ImportError:
- import unittest
- import numpy as np
- try:
- from IPython.lib.pretty import pretty
- except ImportError as err:
- HAVE_IPYTHON = False
- else:
- HAVE_IPYTHON = True
- from neo.core.block import Block
- from neo.core.container import filterdata
- from neo.core import SpikeTrain, Unit
- from neo.test.tools import (assert_neo_object_is_compliant,
- assert_same_sub_schema)
- from neo.test.generate_datasets import (get_fake_value, get_fake_values,
- fake_neo, clone_object,
- get_annotations, TEST_ANNOTATIONS)
- class Test__generate_datasets(unittest.TestCase):
- def setUp(self):
- np.random.seed(0)
- self.annotations = dict([(str(x), TEST_ANNOTATIONS[x]) for x in
- range(len(TEST_ANNOTATIONS))])
- def test__get_fake_values(self):
- self.annotations['seed'] = 0
- file_datetime = get_fake_value('file_datetime', datetime, seed=0)
- rec_datetime = get_fake_value('rec_datetime', datetime, seed=1)
- index = get_fake_value('index', int, seed=2)
- name = get_fake_value('name', str, seed=3, obj=Block)
- description = get_fake_value('description', str, seed=4, obj='Block')
- file_origin = get_fake_value('file_origin', str)
- attrs1 = {'file_datetime': file_datetime,
- 'rec_datetime': rec_datetime,
- 'index': index,
- 'name': name,
- 'description': description,
- 'file_origin': file_origin}
- attrs2 = attrs1.copy()
- attrs2.update(self.annotations)
- res11 = get_fake_values(Block, annotate=False, seed=0)
- res12 = get_fake_values('Block', annotate=False, seed=0)
- res21 = get_fake_values(Block, annotate=True, seed=0)
- res22 = get_fake_values('Block', annotate=True, seed=0)
- self.assertEqual(res11, attrs1)
- self.assertEqual(res12, attrs1)
- self.assertEqual(res21, attrs2)
- self.assertEqual(res22, attrs2)
- def test__fake_neo__cascade(self):
- self.annotations['seed'] = None
- obj_type = 'Block'
- cascade = True
- res = fake_neo(obj_type=obj_type, cascade=cascade)
- for child in res.children_recur:
- del child.annotations['i']
- del child.annotations['j']
- self.assertTrue(isinstance(res, Block))
- assert_neo_object_is_compliant(res)
- self.assertEqual(res.annotations, self.annotations)
- self.assertEqual(len(res.segments), 1)
- seg = res.segments[0]
- self.assertEqual(seg.annotations, self.annotations)
- self.assertEqual(len(res.channel_indexes), 1)
- chx = res.channel_indexes[0]
- self.assertEqual(chx.annotations, self.annotations)
- self.assertEqual(len(seg.analogsignals), 1)
- self.assertEqual(len(seg.analogsignals), 1)
- self.assertEqual(len(seg.irregularlysampledsignals), 1)
- self.assertEqual(len(seg.spiketrains), 1)
- self.assertEqual(len(seg.events), 1)
- self.assertEqual(len(seg.epochs), 1)
- self.assertEqual(seg.analogsignals[0].annotations,
- self.annotations)
- self.assertEqual(seg.analogsignals[0].annotations,
- self.annotations)
- self.assertEqual(seg.irregularlysampledsignals[0].annotations,
- self.annotations)
- self.assertEqual(seg.spiketrains[0].annotations,
- self.annotations)
- self.assertEqual(seg.events[0].annotations,
- self.annotations)
- self.assertEqual(seg.epochs[0].annotations,
- self.annotations)
- self.assertEqual(len(chx.units), 1)
- unit = chx.units[0]
- self.assertEqual(unit.annotations, self.annotations)
- self.assertEqual(len(chx.analogsignals), 1)
- self.assertEqual(chx.analogsignals[0].annotations,
- self.annotations)
- self.assertEqual(len(unit.spiketrains), 1)
- self.assertEqual(unit.spiketrains[0].annotations,
- self.annotations)
- def test__fake_neo__nocascade(self):
- self.annotations['seed'] = None
- obj_type = Block
- cascade = False
- res = fake_neo(obj_type=obj_type, cascade=cascade)
- self.assertTrue(isinstance(res, Block))
- assert_neo_object_is_compliant(res)
- self.assertEqual(res.annotations, self.annotations)
- self.assertEqual(len(res.segments), 0)
- self.assertEqual(len(res.channel_indexes), 0)
- class TestBlock(unittest.TestCase):
- def setUp(self):
- self.nchildren = 2
- self.seed1 = 0
- self.seed2 = 10000
- self.blk1 = fake_neo(Block, seed=self.seed1, n=self.nchildren)
- self.blk2 = fake_neo(Block, seed=self.seed2, n=self.nchildren)
- self.targobj = self.blk1
- self.segs1 = self.blk1.segments
- self.segs2 = self.blk2.segments
- self.chxs1 = self.blk1.channel_indexes
- self.chxs2 = self.blk2.channel_indexes
- self.units1 = [[unit for unit in chx.units] for chx in self.chxs1]
- self.units2 = [[unit for unit in chx.units] for chx in self.chxs2]
- self.units1 = sum(self.units1, [])
- self.units2 = sum(self.units2, [])
- self.sigarrs1 = [[sigarr for sigarr in chx.analogsignals]
- for chx in self.chxs1]
- self.sigarrs2 = [[sigarr for sigarr in chx.analogsignals]
- for chx in self.chxs2]
- self.trains1 = [[train for train in unit.spiketrains]
- for unit in self.units1]
- self.trains2 = [[train for train in unit.spiketrains]
- for unit in self.units2]
- self.irsigs1 = [[irsig for irsig in chx.irregularlysampledsignals]
- for chx in self.chxs1]
- self.irsigs2 = [[irsig for irsig in chx.irregularlysampledsignals]
- for chx in self.chxs2]
- self.epcs1 = [[epc for epc in seg.epochs]
- for seg in self.segs1]
- self.epcs2 = [[epc for epc in seg.epochs]
- for seg in self.segs2]
- self.evts1 = [[evt for evt in seg.events]
- for seg in self.segs1]
- self.evts2 = [[evt for evt in seg.events]
- for seg in self.segs2]
- self.sigarrs1 = sum(self.sigarrs1, [])
- self.sigarrs2 = sum(self.sigarrs2, [])
- self.trains1 = sum(self.trains1, [])
- self.trains2 = sum(self.trains2, [])
- self.irsigs1 = sum(self.irsigs1, [])
- self.irsigs2 = sum(self.irsigs2, [])
- self.epcs1 = sum(self.epcs1, [])
- self.epcs2 = sum(self.epcs2, [])
- self.evts1 = sum(self.evts1, [])
- self.evts2 = sum(self.evts2, [])
- def test_block_init(self):
- blk = Block(name='a block')
- assert_neo_object_is_compliant(blk)
- self.assertEqual(blk.name, 'a block')
- self.assertEqual(blk.file_origin, None)
- def check_creation(self, blk):
- assert_neo_object_is_compliant(blk)
- seed = blk.annotations['seed']
- targ0 = get_fake_value('file_datetime', datetime, seed=seed+0)
- self.assertEqual(blk.file_datetime, targ0)
- targ1 = get_fake_value('rec_datetime', datetime, seed=seed+1)
- self.assertEqual(blk.rec_datetime, targ1)
- targ2 = get_fake_value('index', int, seed=seed+2, obj=Block)
- self.assertEqual(blk.index, targ2)
- targ3 = get_fake_value('name', str, seed=seed+3, obj=Block)
- self.assertEqual(blk.name, targ3)
- targ4 = get_fake_value('description', str, seed=seed+4, obj=Block)
- self.assertEqual(blk.description, targ4)
- targ5 = get_fake_value('file_origin', str)
- self.assertEqual(blk.file_origin, targ5)
- targ6 = get_annotations()
- targ6['seed'] = seed
- self.assertEqual(blk.annotations, targ6)
- self.assertTrue(hasattr(blk, 'channel_indexes'))
- self.assertTrue(hasattr(blk, 'segments'))
- self.assertEqual(len(blk.channel_indexes), self.nchildren)
- self.assertEqual(len(blk.segments), self.nchildren)
- def test__creation(self):
- self.check_creation(self.blk1)
- self.check_creation(self.blk2)
- def test__merge(self):
- blk1a = fake_neo(Block,
- seed=self.seed1, n=self.nchildren)
- assert_same_sub_schema(self.blk1, blk1a)
- blk1a.annotate(seed=self.seed2)
- blk1a.segments.append(self.segs2[0])
- blk1a.merge(self.blk2)
- segs1a = clone_object(self.blk1).segments
- chxs1a = clone_object(self.chxs1)
- assert_same_sub_schema(chxs1a + self.chxs2,
- blk1a.channel_indexes)
- assert_same_sub_schema(segs1a + self.segs2,
- blk1a.segments)
- def test__children(self):
- segs1a = clone_object(self.blk1).segments
- chxs1a = clone_object(self.chxs1)
- self.assertEqual(self.blk1._container_child_objects,
- ('Segment', 'ChannelIndex'))
- self.assertEqual(self.blk1._data_child_objects, ())
- self.assertEqual(self.blk1._single_parent_objects, ())
- self.assertEqual(self.blk1._multi_child_objects, ())
- self.assertEqual(self.blk1._multi_parent_objects, ())
- self.assertEqual(self.blk1._child_properties,
- ('Unit',))
- self.assertEqual(self.blk1._single_child_objects,
- ('Segment', 'ChannelIndex'))
- self.assertEqual(self.blk1._container_child_containers,
- ('segments', 'channel_indexes'))
- self.assertEqual(self.blk1._data_child_containers, ())
- self.assertEqual(self.blk1._single_child_containers,
- ('segments', 'channel_indexes'))
- self.assertEqual(self.blk1._single_parent_containers, ())
- self.assertEqual(self.blk1._multi_child_containers, ())
- self.assertEqual(self.blk1._multi_parent_containers, ())
- self.assertEqual(self.blk1._child_objects,
- ('Segment', 'ChannelIndex'))
- self.assertEqual(self.blk1._child_containers,
- ('segments', 'channel_indexes'))
- self.assertEqual(self.blk1._parent_objects, ())
- self.assertEqual(self.blk1._parent_containers, ())
- self.assertEqual(len(self.blk1._single_children), 2*self.nchildren)
- self.assertEqual(len(self.blk1._multi_children), 0)
- self.assertEqual(len(self.blk1.data_children), 0)
- self.assertEqual(len(self.blk1.data_children_recur),
- 1*self.nchildren**3 + 4*self.nchildren**2)
- self.assertEqual(len(self.blk1.container_children), 2*self.nchildren)
- self.assertEqual(len(self.blk1.container_children_recur),
- 2*self.nchildren + 1*self.nchildren**2)
- self.assertEqual(len(self.blk1.children), 2*self.nchildren)
- self.assertEqual(len(self.blk1.children_recur),
- 2*self.nchildren +
- 5*self.nchildren**2 +
- 1*self.nchildren**3)
- self.assertEqual(self.blk1._multi_children, ())
- assert_same_sub_schema(list(self.blk1._single_children),
- self.segs1 + self.chxs1)
- assert_same_sub_schema(list(self.blk1.container_children),
- self.segs1 + self.chxs1)
- assert_same_sub_schema(list(self.blk1.container_children_recur),
- self.segs1 + self.chxs1 +
- self.units1[:2] +
- self.units1[2:])
- assert_same_sub_schema(list(self.blk1.data_children_recur),
- self.sigarrs1[::2] +
- self.epcs1[:2] + self.evts1[:2] +
- self.irsigs1[::2] +
- self.trains1[::2] +
- self.sigarrs1[1::2] +
- self.epcs1[2:] + self.evts1[2:] +
- self.irsigs1[1::2] +
- self.trains1[1::2],
- exclude=['channel_index'])
- assert_same_sub_schema(list(self.blk1.children),
- segs1a + chxs1a)
- assert_same_sub_schema(list(self.blk1.children_recur),
- self.sigarrs1[::2] +
- self.epcs1[:2] + self.evts1[:2] +
- self.irsigs1[::2] +
- self.trains1[::2] +
- self.sigarrs1[1::2] +
- self.epcs1[2:] + self.evts1[2:] +
- self.irsigs1[1::2] +
- self.trains1[1::2] +
- self.segs1 + self.chxs1 +
- self.units1[:2] +
- self.units1[2:],
- exclude=['channel_index'])
- def test__size(self):
- targ = {'segments': self.nchildren,
- 'channel_indexes': self.nchildren}
- self.assertEqual(self.targobj.size, targ)
- def test__filter_none(self):
- targ = []
- res1 = self.targobj.filter()
- res2 = self.targobj.filter({})
- res3 = self.targobj.filter([])
- res4 = self.targobj.filter([{}])
- res5 = self.targobj.filter([{}, {}])
- res6 = self.targobj.filter([{}, {}])
- res7 = self.targobj.filter(targdict={})
- res8 = self.targobj.filter(targdict=[])
- res9 = self.targobj.filter(targdict=[{}])
- res10 = self.targobj.filter(targdict=[{}, {}])
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- assert_same_sub_schema(res3, targ)
- assert_same_sub_schema(res4, targ)
- assert_same_sub_schema(res5, targ)
- assert_same_sub_schema(res6, targ)
- assert_same_sub_schema(res7, targ)
- assert_same_sub_schema(res8, targ)
- assert_same_sub_schema(res9, targ)
- assert_same_sub_schema(res10, targ)
- def test__filter_annotation_single(self):
- targ = ([self.epcs1[1], self.evts1[1]] +
- self.sigarrs1[1::2] +
- [self.epcs1[3], self.evts1[3]] +
- self.irsigs1[1::2] +
- self.trains1[1::2])
- res0 = self.targobj.filter(j=1)
- res1 = self.targobj.filter({'j': 1})
- res2 = self.targobj.filter(targdict={'j': 1})
- res3 = self.targobj.filter([{'j': 1}])
- res4 = self.targobj.filter(targdict=[{'j': 1}])
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- assert_same_sub_schema(res3, targ)
- assert_same_sub_schema(res4, targ)
- def test__filter_single_annotation_nores(self):
- targ = []
- res0 = self.targobj.filter(j=5)
- res1 = self.targobj.filter({'j': 5})
- res2 = self.targobj.filter(targdict={'j': 5})
- res3 = self.targobj.filter([{'j': 5}])
- res4 = self.targobj.filter(targdict=[{'j': 5}])
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- assert_same_sub_schema(res3, targ)
- assert_same_sub_schema(res4, targ)
- def test__filter_attribute_single(self):
- targ = [self.trains1[0]]
- name = self.trains1[0].name
- res0 = self.targobj.filter(name=name)
- res1 = self.targobj.filter({'name': name})
- res2 = self.targobj.filter(targdict={'name': name})
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- def test__filter_attribute_single_nores(self):
- targ = []
- name = self.trains2[0].name
- res0 = self.targobj.filter(name=name)
- res1 = self.targobj.filter({'name': name})
- res2 = self.targobj.filter(targdict={'name': name})
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- def test__filter_multi(self):
- targ = ([self.epcs1[1], self.evts1[1]] +
- self.sigarrs1[1::2] +
- [self.epcs1[3], self.evts1[3]] +
- self.irsigs1[1::2] +
- self.trains1[1::2] +
- [self.trains1[0]])
- name = self.trains1[0].name
- res0 = self.targobj.filter(name=name, j=1)
- res1 = self.targobj.filter({'name': name, 'j': 1})
- res2 = self.targobj.filter(targdict={'name': name, 'j': 1})
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- def test__filter_multi_nores(self):
- targ = []
- name0 = self.sigarrs2[0].name
- res0 = self.targobj.filter([{'j': 5}, {}])
- res1 = self.targobj.filter({}, j=0)
- res2 = self.targobj.filter([{}], i=0)
- res3 = self.targobj.filter({'name': name0}, j=1)
- res4 = self.targobj.filter(targdict={'name': name0}, j=1)
- res5 = self.targobj.filter(name=name0, targdict={'j': 1})
- res6 = self.targobj.filter(name=name0, j=5)
- res7 = self.targobj.filter({'name': name0, 'j': 5})
- res8 = self.targobj.filter(targdict={'name': name0, 'j': 5})
- res9 = self.targobj.filter({'name': name0}, j=5)
- res10 = self.targobj.filter(targdict={'name': name0}, j=5)
- res11 = self.targobj.filter(name=name0, targdict={'j': 5})
- res12 = self.targobj.filter({'name': name0}, j=5)
- res13 = self.targobj.filter(targdict={'name': name0}, j=5)
- res14 = self.targobj.filter(name=name0, targdict={'j': 5})
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- assert_same_sub_schema(res3, targ)
- assert_same_sub_schema(res4, targ)
- assert_same_sub_schema(res5, targ)
- assert_same_sub_schema(res6, targ)
- assert_same_sub_schema(res7, targ)
- assert_same_sub_schema(res8, targ)
- assert_same_sub_schema(res9, targ)
- assert_same_sub_schema(res10, targ)
- assert_same_sub_schema(res11, targ)
- assert_same_sub_schema(res12, targ)
- assert_same_sub_schema(res13, targ)
- assert_same_sub_schema(res14, targ)
- def test__filter_multi_partres_annotation_attribute(self):
- targ = [self.trains1[0]]
- name = self.trains1[0].name
- res0 = self.targobj.filter(name=name, j=90)
- res1 = self.targobj.filter({'name': name, 'j': 90})
- res2 = self.targobj.filter(targdict={'name': name, 'j': 90})
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- def test__filter_multi_partres_annotation_annotation(self):
- targ = self.trains1[::2]
- res0 = self.targobj.filter([{'j': 0}, {'i': 0}])
- res1 = self.targobj.filter({'j': 0}, i=0)
- res2 = self.targobj.filter([{'j': 0}], i=0)
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- def test__filter_single_annotation_obj_single(self):
- targ = self.trains1[1::2]
- res0 = self.targobj.filter(j=1, objects='SpikeTrain')
- res1 = self.targobj.filter(j=1, objects=SpikeTrain)
- res2 = self.targobj.filter(j=1, objects=['SpikeTrain'])
- res3 = self.targobj.filter(j=1, objects=[SpikeTrain])
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- assert_same_sub_schema(res3, targ)
- def test__filter_single_annotation_norecur(self):
- targ = []
- res0 = self.targobj.filter(j=1, recursive=False)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_attribute_norecur(self):
- targ = []
- res0 = self.targobj.filter(name=self.sigarrs1[0].name,
- recursive=False)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_annotation_nodata(self):
- targ = []
- res0 = self.targobj.filter(j=1, data=False)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_attribute_nodata(self):
- targ = []
- res0 = self.targobj.filter(name=self.sigarrs1[0].name, data=False)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_annotation_nodata_norecur(self):
- targ = []
- res0 = self.targobj.filter(j=1,
- data=False, recursive=False)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_attribute_nodata_norecur(self):
- targ = []
- res0 = self.targobj.filter(name=self.sigarrs1[0].name,
- data=False, recursive=False)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_annotation_container(self):
- targ = ([self.epcs1[1], self.evts1[1]] +
- self.sigarrs1[1::2] +
- [self.epcs1[3], self.evts1[3]] +
- self.irsigs1[1::2] +
- self.trains1[1::2] +
- [self.segs1[1], self.chxs1[1],
- self.units1[1],
- self.units1[3]])
- res0 = self.targobj.filter(j=1, container=True)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_attribute_container_data(self):
- targ = [self.trains1[0]]
- res0 = self.targobj.filter(name=self.trains1[0].name, container=True)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_annotation_container_norecur(self):
- targ = [self.segs1[1], self.chxs1[1]]
- res0 = self.targobj.filter(j=1, container=True, recursive=False)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_attribute_container_norecur(self):
- targ = [self.segs1[0]]
- res0 = self.targobj.filter(name=self.segs1[0].name,
- container=True, recursive=False)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_attribute_container_norecur_nores(self):
- targ = []
- res0 = self.targobj.filter(name=self.trains1[0].name,
- container=True, recursive=False)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_annotation_nodata_container(self):
- targ = [self.segs1[1], self.chxs1[1],
- self.units1[1],
- self.units1[3]]
- res0 = self.targobj.filter(j=1,
- data=False, container=True)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_attribute_nodata_container_nores(self):
- targ = []
- res0 = self.targobj.filter(name=self.trains1[0].name,
- data=False, container=True)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_annotation_nodata_container_norecur(self):
- targ = [self.segs1[1], self.chxs1[1]]
- res0 = self.targobj.filter(j=1,
- data=False, container=True,
- recursive=False)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_attribute_nodata_container_norecur(self):
- targ = [self.segs1[0]]
- res0 = self.targobj.filter(name=self.segs1[0].name,
- data=False, container=True,
- recursive=False)
- assert_same_sub_schema(res0, targ)
- def test__filter_single_attribute_nodata_container_norecur_nores(self):
- targ = []
- res0 = self.targobj.filter(name=self.trains1[0].name,
- data=False, container=True,
- recursive=False)
- assert_same_sub_schema(res0, targ)
- def test__filterdata_multi(self):
- data = self.targobj.children_recur
- targ = ([self.epcs1[1], self.evts1[1]] +
- self.sigarrs1[1::2] +
- [self.epcs1[3], self.evts1[3]] +
- self.irsigs1[1::2] +
- self.trains1[1::2] +
- [self.segs1[1], self.chxs1[1],
- self.units1[1],
- self.units1[3],
- self.trains1[0]])
- name = self.trains1[0].name
- res0 = filterdata(data, name=name, j=1)
- res1 = filterdata(data, {'name': name, 'j': 1})
- res2 = filterdata(data, targdict={'name': name, 'j': 1})
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- def test__filterdata_multi_nores(self):
- data = self.targobj.children_recur
- targ = []
- name1 = self.sigarrs1[0].name
- name2 = self.sigarrs2[0].name
- res0 = filterdata(data, [{'j': 0}, {}])
- res1 = filterdata(data, {}, i=0)
- res2 = filterdata(data, [{}], i=0)
- res3 = filterdata(data, name=name1, targdict={'j': 1})
- res4 = filterdata(data, {'name': name1}, j=1)
- res5 = filterdata(data, targdict={'name': name1}, j=1)
- res6 = filterdata(data, name=name2, j=5)
- res7 = filterdata(data, {'name': name2, 'j': 5})
- res8 = filterdata(data, targdict={'name': name2, 'j': 5})
- res9 = filterdata(data, {'name': name2}, j=5)
- res10 = filterdata(data, targdict={'name': name2}, j=5)
- res11 = filterdata(data, name=name2, targdict={'j': 5})
- res12 = filterdata(data, {'name': name1}, j=5)
- res13 = filterdata(data, targdict={'name': name1}, j=5)
- res14 = filterdata(data, name=name1, targdict={'j': 5})
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- assert_same_sub_schema(res3, targ)
- assert_same_sub_schema(res4, targ)
- assert_same_sub_schema(res5, targ)
- assert_same_sub_schema(res6, targ)
- assert_same_sub_schema(res7, targ)
- assert_same_sub_schema(res8, targ)
- assert_same_sub_schema(res9, targ)
- assert_same_sub_schema(res10, targ)
- assert_same_sub_schema(res11, targ)
- assert_same_sub_schema(res12, targ)
- assert_same_sub_schema(res13, targ)
- assert_same_sub_schema(res14, targ)
- def test__filterdata_multi_partres_annotation_attribute(self):
- data = self.targobj.children_recur
- targ = [self.trains1[0]]
- name = self.trains1[0].name
- res0 = filterdata(data, name=name, j=90)
- res1 = filterdata(data, {'name': name, 'j': 90})
- res2 = filterdata(data, targdict={'name': name, 'j': 90})
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- def test__filterdata_multi_partres_annotation_annotation(self):
- data = self.targobj.children_recur
- targ = (self.trains1[::2] +
- self.segs1[:1] + self.units1[::2])
- res0 = filterdata(data, [{'j': 0}, {'i': 0}])
- res1 = filterdata(data, {'j': 0}, i=0)
- res2 = filterdata(data, [{'j': 0}], i=0)
- assert_same_sub_schema(res0, targ)
- assert_same_sub_schema(res1, targ)
- assert_same_sub_schema(res2, targ)
- # @unittest.skipUnless(HAVE_IPYTHON, "requires IPython")
- # def test__pretty(self):
- # res = pretty(self.blk1)
- # ann = get_annotations()
- # ann['seed'] = self.seed1
- # ann = pretty(ann).replace('\n ', '\n ')
- #
- # seg0 = pretty(self.segs1[0])
- # seg1 = pretty(self.segs1[1])
- # seg0 = seg0.replace('\n', '\n ')
- # seg1 = seg1.replace('\n', '\n ')
- #
- # targ = ("Block with " +
- # ("%s segments, %s channel_indexes\n" %
- # (len(self.segs1), len(self.chxs1))) +
- # ("name: '%s'\ndescription: '%s'\n" % (self.blk1.name,
- # self.blk1.description)) +
- # ("annotations: %s\n" % ann) +
- # ("file_origin: '%s'\n" % self.blk1.file_origin) +
- # ("file_datetime: %s\n" % repr(self.blk1.file_datetime)) +
- # ("rec_datetime: %s\n" % repr(self.blk1.rec_datetime)) +
- # ("index: %s\n" % self.blk1.index) +
- #
- #
- # ("# segments (N=%s)\n" % len(self.segs1)) +
- # ('%s: %s\n' % (0, seg0)) +
- # ('%s: %s' % (1, seg1)))
- #
- # self.assertEqual(res, targ)
- def test_block_list_units(self):
- assert_same_sub_schema(self.units1, self.blk1.list_units)
- assert_same_sub_schema(self.units2, self.blk2.list_units)
- assert_same_sub_schema(self.units1,
- self.blk1.list_children_by_class(Unit))
- assert_same_sub_schema(self.units2,
- self.blk2.list_children_by_class(Unit))
- assert_same_sub_schema(self.units1,
- self.blk1.list_children_by_class('Unit'))
- assert_same_sub_schema(self.units2,
- self.blk2.list_children_by_class('Unit'))
- if __name__ == "__main__":
- unittest.main()
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