def test__filterdata_multi_partres_annotation_annotation(self):
data = self.targobj.children_recur
targ = [self.trains1[0], self.trains1[2],
self.units1[0]]
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)
def test__filterdata_multi_partres_annotation_annotation(self):
data = self.targobj.children_recur
targ = (self.sigs1[::2] + self.spikes1[::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)
def test__filterdata_multi_partres_annotation_annotation(self):
data = self.targobj.children_recur
targ = (self.sigs1[::2] + self.spikes1[::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)
def test__filterdata_multi(self):
data = self.targobj.children_recur
targ = (self.sigarrs1a + [self.epcs1a[0]] + [self.evts1a[0]] +
self.irsigs1a + self.trains1a + [self.epcs1a[1]])
res0 = filterdata(data, name=self.epcs1a[1].name, j=0)
res1 = filterdata(data, {'name': self.epcs1a[1].name, 'j': 0})
res2 = filterdata(data, targdict={'name': self.epcs1a[1].name, 'j': 0})
assert_same_sub_schema(res0, targ)
assert_same_sub_schema(res1, targ)
assert_same_sub_schema(res2, 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=5)
res1 = filterdata(data, {'name': name, 'j': 5})
res2 = filterdata(data, targdict={'name': name, 'j': 5})
assert_same_sub_schema(res0, targ)
assert_same_sub_schema(res1, targ)
assert_same_sub_schema(res2, targ)
def test__filterdata_multi(self):
data = self.targobj.children_recur
targ = [self.trains1a[1], self.trains1a[0]]
name = self.trains1a[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_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(self):
data = self.targobj.children_recur
targ = (self.sigarrs1a +
[self.epcs1a[0]] +
[self.evts1a[0]] +
self.irsigs1a +
self.trains1a +
[self.epcs1a[1]])
res0 = filterdata(data, name=self.epcs1a[1].name, j=0)
res1 = filterdata(data, {'name': self.epcs1a[1].name, 'j': 0})
res2 = filterdata(data, targdict={'name': self.epcs1a[1].name, 'j': 0})
assert_same_sub_schema(res0, targ)
assert_same_sub_schema(res1, targ)
assert_same_sub_schema(res2, targ)
def test__filterdata_multi(self):
block = simple_block()
targ = [
block.segments[1].analogsignals[0],
block.segments[1].irregularlysampledsignals[0], block.segments[1]
]
data = block.children_recur
filter = {"name": targ[0].name, "thing": targ[0].annotations["thing"]}
res0 = filterdata(data, **filter)
res1 = filterdata(data, filter)
res2 = filterdata(data, targdict=filter)
assert_same_sub_schema(res0, targ)
assert_same_sub_schema(res1, targ)
assert_same_sub_schema(res2, 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(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__filter_single_attribute_nodata_container_norecur(self):
targ = []
res0 = self.targobj.filter(name=self.epcs1a[1].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.sigs1a + self.sigarrs1a +
[self.epcs1a[0], self.epcas1a[0]] +
[self.evts1a[0], self.evtas1a[0]] +
self.irsigs1a +
self.spikes1a + self.trains1a +
[self.epcs1a[1]])
res0 = filterdata(data, name=self.epcs1a[1].name, j=0)
res1 = filterdata(data, {'name': self.epcs1a[1].name, 'j': 0})
res2 = filterdata(data, targdict={'name': self.epcs1a[1].name, 'j': 0})
assert_same_sub_schema(res0, targ)
assert_same_sub_schema(res1, targ)
assert_same_sub_schema(res2, targ)
def test__filterdata_multi_partres(self):
data = self.targobj.children_recur
targ = [self.epcs1a[1]]
res0 = filterdata(data, name=self.epcs1a[1].name, j=5)
res1 = filterdata(data, {'name': self.epcs1a[1].name, 'j': 5})
res2 = filterdata(data, targdict={'name': self.epcs1a[1].name, 'j': 5})
res3 = filterdata(data, [{'j': 1}, {'i': 1}])
res4 = filterdata(data, {'j': 1}, i=1)
res5 = filterdata(data, [{'j': 1}], i=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)
assert_same_sub_schema(res5, targ)
def test__filterdata_multi_partres(self):
data = self.targobj.children_recur
targ = [self.epcs1a[1]]
res0 = filterdata(data, name=self.epcs1a[1].name, j=5)
res1 = filterdata(data, {'name': self.epcs1a[1].name, 'j': 5})
res2 = filterdata(data, targdict={'name': self.epcs1a[1].name, 'j': 5})
res3 = filterdata(data, [{'j': 1}, {'i': 1}])
res4 = filterdata(data, {'j': 1}, i=1)
res5 = filterdata(data, [{'j': 1}], i=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)
assert_same_sub_schema(res5, targ)
def test__filterdata_multi_partres(self):
data = self.targobj.children_recur
targ = [self.trains1a[0]]
name = self.trains1a[0].name
res0 = filterdata(data, name=name, j=5)
res1 = filterdata(data, {'name': name, 'j': 5})
res2 = filterdata(data, targdict={'name': name, 'j': 5})
res3 = filterdata(data, [{'j': 0}, {'i': 0}])
res4 = filterdata(data, {'j': 0}, i=0)
res5 = filterdata(data, [{'j': 0}], i=0)
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)
def test__filterdata_multi_nores(self):
data = self.targobj.children_recur
targ = []
res0 = filterdata(data, [{'j': 5}, {}])
res1 = filterdata(data, {}, ttype=0)
res2 = filterdata(data, [{}], ttype=0)
res3 = filterdata(data, {'name': self.epcs1a[1].name}, j=0)
res4 = filterdata(data, targdict={'name': self.epcs1a[1].name}, j=0)
res5 = filterdata(data, name=self.epcs1a[1].name, targdict={'j': 0})
res6 = filterdata(data, name=self.epcs2[0].name, j=5)
res7 = filterdata(data, {'name': self.epcs2[1].name, 'j': 5})
res8 = filterdata(data, targdict={'name': self.epcs2[1].name, 'j': 5})
res9 = filterdata(data, {'name': self.epcs2[1].name}, j=5)
res10 = filterdata(data, targdict={'name': self.epcs2[1].name}, j=5)
res11 = filterdata(data, name=self.epcs2[1].name, targdict={'j': 5})
res12 = filterdata(data, {'name': self.epcs1a[1].name}, j=5)
res13 = filterdata(data, targdict={'name': self.epcs1a[1].name}, j=5)
res14 = filterdata(data, name=self.epcs1a[1].name, 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_nores(self):
data = self.targobj.children_recur
targ = []
name1 = self.sigarrs1[0].name
name2 = self.sigarrs2[0].name
res0 = filterdata(data, [{'j': 5}, {}])
res1 = filterdata(data, {}, i=5)
res2 = filterdata(data, [{}], i=5)
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_nores(self):
data = self.targobj.children_recur
targ = []
name1 = self.trains1a[0].name
name2 = self.trains2[0].name
res0 = filterdata(data, [{'j': 5}, {}])
res1 = filterdata(data, {}, i=5)
res2 = filterdata(data, [{}], i=5)
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_nores(self):
data = self.targobj.children_recur
targ = []
res0 = filterdata(data, [{'j': 0}, {}])
res1 = filterdata(data, {}, ttype=0)
res2 = filterdata(data, [{}], ttype=0)
res3 = filterdata(data, {'name': self.epcs1a[1].name}, j=0)
res4 = filterdata(data, targdict={'name': self.epcs1a[1].name}, j=0)
res5 = filterdata(data, name=self.epcs1a[1].name, targdict={'j': 0})
res6 = filterdata(data, name=self.epcs2[0].name, j=5)
res7 = filterdata(data, {'name': self.epcs2[1].name, 'j': 5})
res8 = filterdata(data, targdict={'name': self.epcs2[1].name, 'j': 5})
res9 = filterdata(data, {'name': self.epcs2[1].name}, j=5)
res10 = filterdata(data, targdict={'name': self.epcs2[1].name}, j=5)
res11 = filterdata(data, name=self.epcs2[1].name, targdict={'j': 5})
res12 = filterdata(data, {'name': self.epcs1a[1].name}, j=5)
res13 = filterdata(data, targdict={'name': self.epcs1a[1].name}, j=5)
res14 = filterdata(data, name=self.epcs1a[1].name, 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)
