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# -*- coding: utf-8 -*-
# Copyright © 2014, German Neuroinformatics Node (G-Node)
#
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted under the terms of the BSD License. See
# LICENSE file in the root of the Project.
from nixio.dimensions import SliceMode
from nixio.exceptions.exceptions import IncompatibleDimensions
import os
import unittest
import numpy as np
import nixio as nix
from .tmp import TempDir
from collections import OrderedDict
TEST_SAMPL = 0.1
TEST_LABEL = "test label"
test_range = tuple([float(i) for i in range(10)])
test_labels = tuple([str(i) + "_label" for i in range(10)])
class TestDimension(unittest.TestCase):
def setUp(self):
self.tmpdir = TempDir("dimtest")
self.testfilename = os.path.join(self.tmpdir.path, "dimtest.nix")
self.file = nix.File.open(self.testfilename, nix.FileMode.Overwrite)
self.block = self.file.create_block("test block", "recordingsession")
self.array = self.block.create_data_array("test array", "signal",
nix.DataType.Float, (0, ))
self.set_dim = self.array.append_set_dimension()
self.sample_dim = self.array.append_sampled_dimension(TEST_SAMPL)
self.range_dim = self.array.append_range_dimension(test_range)
def tearDown(self):
del self.file.blocks[self.block.id]
self.file.close()
self.tmpdir.cleanup()
def test_set_dimension(self):
assert self.set_dim.index == 1
assert self.set_dim.dimension_type == nix.DimensionType.Set
assert self.array.dimensions[0].index == 1
assert self.set_dim.labels == ()
self.set_dim.labels = test_labels
assert self.set_dim.labels == test_labels
assert self.set_dim.label is None
self.set_dim.label = TEST_LABEL
assert self.set_dim.label == TEST_LABEL
self.set_dim.label = None
assert self.set_dim.label is None
def test_sample_dimension(self):
assert self.sample_dim.index == 2
assert self.sample_dim.dimension_type == nix.DimensionType.Sample
assert self.array.dimensions[1].index == 2
assert self.sample_dim.label is None
self.sample_dim.label = TEST_LABEL
assert self.sample_dim.label == TEST_LABEL
self.sample_dim.label = None
assert self.sample_dim.label is None
assert self.sample_dim.unit is None
self.sample_dim.unit = "mV"
assert self.sample_dim.unit == "mV"
self.sample_dim.unit = None
assert self.sample_dim.unit is None
assert self.sample_dim.sampling_interval == TEST_SAMPL
self.sample_dim.sampling_interval = 1.123
assert self.sample_dim.sampling_interval == 1.123
assert self.sample_dim.offset is None
self.sample_dim.offset = 0.3
assert self.sample_dim.offset == 0.3
self.sample_dim.offset = None
assert self.sample_dim.offset is None
self.sample_dim.sampling_interval = 2.
self.sample_dim.offset = 3.
assert self.sample_dim.index_of(3.14) == 0
assert self.sample_dim.index_of(23.) == 10
assert type(self.sample_dim.index_of(23.) == int)
assert self.sample_dim.position_at(0) == 3.
assert self.sample_dim.position_at(200) == 200 * 2. + 3.
assert len(self.sample_dim.axis(10)) == 10
assert self.sample_dim.axis(10)[0] == 3.
assert self.sample_dim.axis(10)[-1] == 9 * 2. + 3.
assert len(self.sample_dim.axis(10, 2)) == 10
assert self.sample_dim.axis(10, 2)[0] == 2 * 2. + 3.
assert self.sample_dim.axis(10, 2)[-1] == (9 + 2) * 2. + 3.
with self.assertRaises(ValueError):
self.sample_dim.axis(10, -10)
self.sample_dim.axis(10, start_position=0.0)
assert self.sample_dim.axis(10, 0, 5.0)[0] == 3
assert self.sample_dim.axis(10, start_position=5.0)[0] == 5.0
assert self.sample_dim.axis(10, start_position=5.0)[-1] == 5.0 + 9 * 2
with self.assertRaises(ValueError):
self.sample_dim.range_indices(0, 1, mode="invalid")
self.assertIsNone(self.sample_dim.range_indices(10, -10, mode=SliceMode.Inclusive))
range_indices = self.sample_dim.range_indices(2, 11, mode=SliceMode.Inclusive)
assert range_indices[0] == 0
assert range_indices[-1] == 4
range_indices = self.sample_dim.range_indices(2, 11, mode=SliceMode.Exclusive)
assert range_indices[0] == 0
assert range_indices[-1] == 3
range_indices = self.sample_dim.range_indices(3., 3.1, mode=SliceMode.Inclusive)
assert range_indices[0] == 0
assert range_indices[-1] == 0
range_indices = self.sample_dim.range_indices(3., 3.1, mode=SliceMode.Exclusive)
assert range_indices[0] == 0
assert range_indices[-1] == 0
range_indices = self.sample_dim.range_indices(3.1, 3.2, mode=SliceMode.Inclusive)
self.assertIsNone(range_indices)
range_indices = self.sample_dim.range_indices(3.1, 3.2, mode=SliceMode.Exclusive)
self.assertIsNone(range_indices)
range_indices = self.sample_dim.range_indices(3.1, 5.0, mode=SliceMode.Inclusive)
self.assertIsNotNone(range_indices)
range_indices = self.sample_dim.range_indices(3.1, 5.0, mode=SliceMode.Exclusive)
self.assertIsNone(range_indices)
def test_range_dimension(self):
assert self.range_dim.index == 3
assert self.range_dim.dimension_type == nix.DimensionType.Range
assert self.array.dimensions[2].index == 3
assert self.range_dim.label is None
self.range_dim.label = TEST_LABEL
assert self.range_dim.label == TEST_LABEL
self.range_dim.label = None
assert self.range_dim.label is None
assert self.range_dim.unit is None
self.range_dim.unit = "mV"
assert self.range_dim.unit == "mV"
self.range_dim.unit = None
assert self.range_dim.unit is None
assert self.range_dim.ticks == test_range
other = tuple([i * 3.14 for i in range(10)])
self.range_dim.ticks = other
assert self.range_dim.ticks == other
assert self.range_dim.index_of(0.) == 0
assert self.range_dim.index_of(10.) == (np.floor(10. / 3.14))
assert self.range_dim.index_of(18.84) == 6
assert self.range_dim.index_of(28.26) == 9
assert self.range_dim.index_of(100.) == 9
assert self.range_dim.index_of(-100., mode=nix.IndexMode.GreaterOrEqual) == 0
assert self.range_dim.tick_at(0) == 0
assert self.range_dim.tick_at(9) == other[-1]
with self.assertRaises(IndexError):
self.range_dim.tick_at(100)
assert self.range_dim.axis(10) == other
assert self.range_dim.axis(2) == other[:2]
assert self.range_dim.axis(2, 2) == other[2:4]
with self.assertRaises(IndexError):
self.range_dim.axis(10, 2)
self.range_dim.axis(100)
# ticks = (0.0, 3.14, 6.28, 9.42, 12.56, 15.7, 18.84, 21.98, 25.12, 28.26)
with self.assertRaises(ValueError):
self.range_dim.range_indices(0, 10, mode="invalid")
with self.assertRaises(IndexError):
self.range_dim.range_indices(10, -10)
self.assertIsNone(self.range_dim.range_indices(3.15, 3.16, mode=SliceMode.Inclusive))
self.assertIsNone(self.range_dim.range_indices(3.15, 3.16, mode=SliceMode.Exclusive))
range_indices = self.range_dim.range_indices(3.14, 4.0, mode=SliceMode.Inclusive)
assert range_indices[0] == 1
assert range_indices[1] == 1
range_indices = self.range_dim.range_indices(3.14, 4.0, mode=SliceMode.Exclusive)
assert range_indices[0] == 1
assert range_indices[1] == 1
range_indices = self.range_dim.range_indices(6.2, 25.12, mode=SliceMode.Inclusive)
assert range_indices[0] == 2
assert range_indices[1] == 8
range_indices = self.range_dim.range_indices(6.2, 25.12, mode=SliceMode.Exclusive)
assert range_indices[0] == 2
assert range_indices[1] == 7
def test_set_dim_label_resize(self):
setdim = self.array.append_set_dimension()
labels = ["A", "B"]
setdim.labels = labels
assert tuple(labels) == setdim.labels
newlabels = ["C", "B", "A"]
setdim.labels = newlabels
assert tuple(newlabels) == setdim.labels
def test_set_dim_labels_array(self):
labels = np.array(["A", "B"])
setdim = self.array.append_set_dimension(labels)
assert tuple(labels) == setdim.labels
def test_set_dim_invalid_labels(self):
# don't accept non list-like labels
with self.assertRaises(ValueError):
self.array.append_set_dimension('Sample 1')
with self.assertRaises(ValueError):
self.array.append_set_dimension(1000)
# don't accept list of non-string objects
with self.assertRaises(ValueError):
self.array.append_set_dimension([1, 2, 3])
def test_range_dim_ticks_resize(self):
rangedim = self.array.append_range_dimension([1, 2, 100])
ticks = [1, 1, 30]
rangedim.ticks = ticks
assert tuple(ticks) == rangedim.ticks
newticks = [2, 4, 300, 800]
rangedim.ticks = newticks
assert tuple(newticks) == rangedim.ticks
def test_append_dim_init(self):
slabels = ["label A", "label B"]
setdim = self.array.append_set_dimension(slabels)
assert tuple(slabels) == setdim.labels
rticks = [1, 2, 10.3]
rlabel = "range-label"
runit = "ms"
rdim = self.array.append_range_dimension(rticks, rlabel, runit)
assert tuple(rticks) == rdim.ticks
assert rlabel == rdim.label
assert runit == rdim.unit
sinterval = 0.25
slabel = "sample label"
sunit = "us"
soffset = 10
smpldim = self.array.append_sampled_dimension(sinterval,
slabel,
sunit,
soffset)
assert sinterval == smpldim.sampling_interval
assert slabel == smpldim.label
assert sunit == smpldim.unit
assert soffset == smpldim.offset
def test_set_dimension_modes(self):
# exact
assert self.set_dim.index_of(0) == 0
assert self.set_dim.index_of(0, nix.IndexMode.LessOrEqual) == 0
assert self.set_dim.index_of(0, nix.IndexMode.GreaterOrEqual) == 0
assert self.set_dim.index_of(7) == 7
assert self.set_dim.index_of(7, nix.IndexMode.LessOrEqual) == 7
assert self.set_dim.index_of(7, nix.IndexMode.LessOrEqual) == 7
assert self.set_dim.index_of(7, nix.IndexMode.GreaterOrEqual) == 7
assert self.set_dim.index_of(7, nix.IndexMode.Less) == 6
# rounding
assert self.set_dim.index_of(4.2) == 4
assert self.set_dim.index_of(4.2, nix.IndexMode.LessOrEqual) == 4
assert self.set_dim.index_of(4.2, nix.IndexMode.Less) == 4
assert self.set_dim.index_of(4.2, nix.IndexMode.GreaterOrEqual) == 5
# valid oob below
assert self.set_dim.index_of(-30, nix.IndexMode.GreaterOrEqual) == 0
self.set_dim.labels = test_labels
# valid oob above
assert self.set_dim.index_of(12989) == len(test_labels) - 1
assert self.set_dim.index_of(12989, nix.IndexMode.LessOrEqual) == len(test_labels) - 1
assert self.set_dim.index_of(12989, nix.IndexMode.Less) == len(test_labels) - 1
# invalid oob
with self.assertRaises(IndexError):
self.set_dim.index_of(0, nix.IndexMode.Less)
with self.assertRaises(IndexError):
self.set_dim.index_of(-1, nix.IndexMode.Less)
with self.assertRaises(IndexError):
self.set_dim.index_of(-10, nix.IndexMode.LessOrEqual)
with self.assertRaises(IndexError):
self.set_dim.index_of(-10)
with self.assertRaises(IndexError):
self.set_dim.index_of(12398, nix.IndexMode.GreaterOrEqual)
with self.assertRaises(IndexError):
self.set_dim.index_of(len(test_labels) - 0.5, nix.IndexMode.GreaterOrEqual)
with self.assertRaises(ValueError):
self.set_dim.range_indices(0, 10, mode="invalid")
with self.assertRaises(IndexError):
self.set_dim.range_indices(10, -10)
range_indices = self.set_dim.range_indices(0.1, 0.4, mode=SliceMode.Inclusive)
self.assertIsNone(range_indices)
range_indices = self.set_dim.range_indices(0.1, 0.4, mode=SliceMode.Exclusive)
self.assertIsNone(range_indices)
range_indices = self.set_dim.range_indices(0.1, 1.0, mode=SliceMode.Inclusive)
self.assertIsNotNone(range_indices)
assert range_indices[0] == 1
assert range_indices[1] == 1
range_indices = self.set_dim.range_indices(0.1, 1.0, mode=SliceMode.Exclusive)
self.assertIsNone(range_indices)
range_indices = self.set_dim.range_indices(0.1, 1.1, mode=SliceMode.Exclusive)
self.assertIsNotNone(range_indices)
assert range_indices[0] == 1
assert range_indices[1] == 1
range_indices = self.set_dim.range_indices(0, 9, mode=SliceMode.Exclusive)
assert range_indices[0] == 0
assert range_indices[-1] == 8
range_indices = self.set_dim.range_indices(0, 9, mode=SliceMode.Inclusive)
assert range_indices[0] == 0
assert range_indices[-1] == 9
def test_sampled_dimension_modes(self):
# exact
assert self.sample_dim.index_of(0) == 0
assert self.sample_dim.index_of(0, nix.IndexMode.LessOrEqual) == 0
assert self.sample_dim.index_of(0, nix.IndexMode.GreaterOrEqual) == 0
assert self.sample_dim.index_of(7.2) == 72
assert self.sample_dim.index_of(7.2, nix.IndexMode.LessOrEqual) == 72
assert self.sample_dim.index_of(7.2, nix.IndexMode.LessOrEqual) == 72
assert self.sample_dim.index_of(7.2, nix.IndexMode.GreaterOrEqual) == 72
assert self.sample_dim.index_of(7.2, nix.IndexMode.Less) == 71
assert self.sample_dim.index_of(7.3, nix.IndexMode.Less) == 72
# rounding
assert self.sample_dim.index_of(4.205) == 42
assert self.sample_dim.index_of(4.205, nix.IndexMode.LessOrEqual) == 42
assert self.sample_dim.index_of(4.205, nix.IndexMode.Less) == 42
assert self.sample_dim.index_of(4.205, nix.IndexMode.GreaterOrEqual) == 43
# valid oob below
assert self.sample_dim.index_of(-30, nix.IndexMode.GreaterOrEqual) == 0
# invalid oob
with self.assertRaises(IndexError):
self.sample_dim.index_of(0, nix.IndexMode.Less)
with self.assertRaises(IndexError):
self.sample_dim.index_of(-0.001, nix.IndexMode.Less)
with self.assertRaises(IndexError):
self.sample_dim.index_of(-1, nix.IndexMode.Less)
with self.assertRaises(IndexError):
self.sample_dim.index_of(-10, nix.IndexMode.LessOrEqual)
with self.assertRaises(IndexError):
self.sample_dim.index_of(-10)
# with offset
offset = 3.1
self.sample_dim.offset = offset
# valid oob below
assert self.sample_dim.index_of(-30, nix.IndexMode.GreaterOrEqual) == 0
assert self.sample_dim.index_of(offset - 0.3, nix.IndexMode.GreaterOrEqual) == 0
# invalid oob
with self.assertRaises(IndexError):
self.sample_dim.index_of(offset - 0.2, nix.IndexMode.Less)
with self.assertRaises(IndexError):
self.sample_dim.index_of(0, nix.IndexMode.Less)
with self.assertRaises(IndexError):
self.sample_dim.index_of(offset - 0.01, nix.IndexMode.LessOrEqual)
with self.assertRaises(IndexError):
self.sample_dim.index_of(offset - 0.5)
def test_range_dimension_modes(self):
# exact
assert self.range_dim.index_of(0) == 0
assert self.range_dim.index_of(0, nix.IndexMode.LessOrEqual) == 0
assert self.range_dim.index_of(0, nix.IndexMode.GreaterOrEqual) == 0
assert self.range_dim.index_of(7) == 7
assert self.range_dim.index_of(7, nix.IndexMode.LessOrEqual) == 7
assert self.range_dim.index_of(7, nix.IndexMode.LessOrEqual) == 7
assert self.range_dim.index_of(7, nix.IndexMode.GreaterOrEqual) == 7
assert self.range_dim.index_of(7, nix.IndexMode.Less) == 6
# rounding
assert self.range_dim.index_of(4.2) == 4
assert self.range_dim.index_of(4.2, nix.IndexMode.LessOrEqual) == 4
assert self.range_dim.index_of(4.2, nix.IndexMode.Less) == 4
assert self.range_dim.index_of(4.2, nix.IndexMode.GreaterOrEqual) == 5
# valid oob below
assert self.range_dim.index_of(-30, nix.IndexMode.GreaterOrEqual) == 0
# valid oob above
assert self.range_dim.index_of(12989) == test_range[-1]
assert self.range_dim.index_of(12989, nix.IndexMode.LessOrEqual) == test_range[-1]
assert self.range_dim.index_of(12989, nix.IndexMode.Less) == test_range[-1]
# invalid oob
with self.assertRaises(IndexError):
self.range_dim.index_of(0, nix.IndexMode.Less)
with self.assertRaises(IndexError):
self.range_dim.index_of(-1, nix.IndexMode.Less)
with self.assertRaises(IndexError):
self.range_dim.index_of(-10, nix.IndexMode.LessOrEqual)
with self.assertRaises(IndexError):
self.range_dim.index_of(-10)
with self.assertRaises(IndexError):
self.range_dim.index_of(12398, nix.IndexMode.GreaterOrEqual)
with self.assertRaises(IndexError):
self.range_dim.index_of(test_range[-1]+0.001, nix.IndexMode.GreaterOrEqual)
class TestLinkDimension(unittest.TestCase):
def setUp(self):
self.tmpdir = TempDir("linkdimtest")
self.testfilename = os.path.join(self.tmpdir.path, "linkdimtest.nix")
self.file = nix.File.open(self.testfilename, nix.FileMode.Overwrite)
self.block = self.file.create_block("test block", "test.session")
self.array = self.block.create_data_array(
"test array", "signal", nix.DataType.Float,
data=np.random.random_sample((3, 15))
)
self.set_dim = self.array.append_set_dimension()
self.range_dim = self.array.append_range_dimension()
def tearDown(self):
del self.file.blocks[self.block.id]
self.file.close()
self.tmpdir.cleanup()
def test_data_array_range_link_dimension(self):
tickarray = self.block.create_data_array(
"ticks", "array.dimension.ticks",
data=np.linspace(0, 100, 15)
)
tickarray.label = "DIMENSION LABEL"
tickarray.unit = "mV"
self.range_dim.link_data_array(tickarray, [-1])
assert np.all(tickarray[:] == self.range_dim.ticks)
assert tickarray.unit == self.range_dim.unit
assert tickarray.label == self.range_dim.label
tickarray3d = self.block.create_data_array(
"ticks3d", "array.dimension.ticks",
data=np.random.random_sample((20, 15, 4))
)
tickarray3d.unit = "mA"
ticks = np.cumsum(np.random.random_sample(15))
tickarray3d[3, :, 1] = ticks
tickarray3d.label = "DIMENSION LABEL 2"
self.range_dim.link_data_array(tickarray3d, [3, -1, 1])
assert np.shape(ticks) == np.shape(self.range_dim.ticks)
assert np.all(ticks == self.range_dim.ticks)
assert tickarray3d.unit == self.range_dim.unit
assert tickarray3d.label == self.range_dim.label
def test_data_array_set_link_dimension(self):
labelarray = self.block.create_data_array(
"labels", "array.dimension.labels",
data=["Alpha", "Beta", "Gamma"], dtype=nix.DataType.String
)
self.set_dim.link_data_array(labelarray, [-1])
assert np.all(labelarray[:] == self.set_dim.labels)
labelarray2d = self.block.create_data_array(
"labels2d", "array.dimension.labels",
dtype=nix.DataType.String,
data=[["Alpha1", "Beta1", "Gamma1"],
["Alpha2", "Beta2", "Gamma2"]],
)
self.set_dim.link_data_array(labelarray2d, [1, -1])
assert np.all(("Alpha2", "Beta2", "Gamma2") == self.set_dim.labels)
assert np.all(labelarray2d[1, :] == self.set_dim.labels)
def test_data_array_self_link_range_dimension(self):
# The new way of making alias range dimension
da = self.block.create_data_array("alias da", "dimticks",
data=np.random.random_sample(10))
da.label = "alias dimension label"
da.unit = "F"
rdim = da.append_range_dimension()
rdim.link_data_array(da, [-1])
assert len(da.dimensions) == 1
assert da.dimensions[0].label == da.label
assert da.dimensions[0].unit == da.unit
assert np.all(da.dimensions[0].ticks == da[:])
assert rdim.is_alias
da.delete_dimensions()
da.append_range_dimension()
assert not da.dimensions[0].is_alias
da.delete_dimensions()
da.append_range_dimension_using_self()
assert len(da.dimensions) == 1
assert da.dimensions[0].is_alias
da.delete_dimensions()
with self.assertRaises(IncompatibleDimensions):
da.append_range_dimension_using_self([0, -1])
with self.assertRaises(ValueError):
da.append_range_dimension_using_self([-2])
da.append_range_dimension_using_self([-1])
assert len(da.dimensions) == 1
assert da.dimensions[0].is_alias
def test_data_array_self_link_set_dimension(self):
# The new way of making alias range dimension
labelda = self.block.create_data_array("alias da", "dimlabels",
data=np.random.random_sample(10))
rdim = labelda.append_set_dimension()
rdim.link_data_array(labelda, [-1])
assert len(labelda.dimensions) == 1
assert np.all(labelda.dimensions[0].labels == labelda[:])
def test_data_frame_range_link_dimension(self):
column_descriptions = OrderedDict([("name", nix.DataType.String),
("id", nix.DataType.String),
("duration", nix.DataType.Double)])
def randtick():
time_stamp = 0
while True:
time_stamp += np.random.random_sample()
yield time_stamp
tickgen = randtick()
values = [("Alpha", "a", next(tickgen)),
("Beta", 'b', next(tickgen)),
("Gamma", 'c', next(tickgen)),
("Alpha", "a", next(tickgen)),
("Gamma", 'c', next(tickgen)),
("Alpha", "a", next(tickgen)),
("Gamma", 'c', next(tickgen)),
("Alpha", "a", next(tickgen)),
("Beta", 'b', next(tickgen))]
units = (None, None, "s")
df = self.block.create_data_frame("df-dimension",
"array.dimension.labels",
col_dict=column_descriptions,
data=values)
df.units = units
self.range_dim.link_data_frame(df, 2)
np.testing.assert_almost_equal(self.range_dim.ticks,
tuple(v[2] for v in values))
assert self.range_dim.unit == df.units[2]
assert self.range_dim.label == df.column_names[2]
assert not self.range_dim.is_alias
def test_data_frame_set_link_dimension(self):
column_descriptions = OrderedDict([("name", nix.DataType.String),
("id", nix.DataType.String),
("duration", nix.DataType.Float)])
def rdura():
return np.random.random_sample() * 30
values = [("Alpha", "a", rdura()),
("Beta", 'b', rdura()),
("Gamma", 'c', rdura()),
("Alpha", "a", rdura()),
("Gamma", 'c', rdura()),
("Alpha", "a", rdura()),
("Gamma", 'c', rdura()),
("Alpha", "a", rdura()),
("Beta", 'b', rdura())]
units = (None, None, "s")
df = self.block.create_data_frame("df-dimension",
"array.dimension.labels",
col_dict=column_descriptions,
data=values)
df.units = units
self.set_dim.link_data_frame(df, 1)
assert self.set_dim.labels == tuple(v[1] for v in values)
def test_data_array_linking_errors(self):
da = self.block.create_data_array("baddim", "dimension.error.test",
data=np.random.random_sample((3, 4, 2)))
# index dimensionality mismatch
with self.assertRaises(nix.exceptions.IncompatibleDimensions):
self.set_dim.link_data_array(da, [0, -1])
with self.assertRaises(nix.exceptions.IncompatibleDimensions):
self.range_dim.link_data_array(da, [0, -1, 3, 3])
# no -1 in index
with self.assertRaises(ValueError):
self.set_dim.link_data_array(da, [0, 0, 0])
with self.assertRaises(ValueError):
self.range_dim.link_data_array(da, [1, 1, 1])
# multiple -1 (or negative)in index
with self.assertRaises(ValueError):
self.set_dim.link_data_array(da, [-1, -1, 0])
with self.assertRaises(ValueError):
self.range_dim.link_data_array(da, [-1, -1, 1])
with self.assertRaises(ValueError):
self.set_dim.link_data_array(da, [-2, 0, 0])
with self.assertRaises(ValueError):
self.range_dim.link_data_array(da, [-2, 0, 1])
with self.assertRaises(ValueError):
self.set_dim.link_data_array(da, [-10, -10, 0])
with self.assertRaises(ValueError):
self.range_dim.link_data_array(da, [-10, -10, 1])
def test_data_frame_linking_errors(self):
column_descriptions = OrderedDict([("name", nix.DataType.String),
("id", nix.DataType.String),
("score", nix.DataType.Float)])
values = [("Alpha", "a", 0),
("Beta", 'b', 100),
("Gamma", 'c', 50),
("Alpha", "a", 10),
("Gamma", 'c', 42),
("Alpha", "a", 93),
("Gamma", 'c', 23),
("Alpha", "a", 37),
("Beta", 'b', 87)]
df = self.block.create_data_frame("df-dimension",
"array.dimension.labels",
col_dict=column_descriptions,
data=values)
for badidx in [-110, -5, -1, 3, 4, 34]:
with self.assertRaises(nix.exceptions.OutOfBounds):
self.set_dim.link_data_frame(df, badidx)
with self.assertRaises(nix.exceptions.OutOfBounds):
self.range_dim.link_data_frame(df, badidx)
def test_sampled_dimension_unsupported(self):
sdim = self.array.append_sampled_dimension(0.1)
da = self.block.create_data_array("baddim", "dimension.error.test",
data=np.random.random_sample((3, 4, 2)))
with self.assertRaises(RuntimeError):
sdim.link_data_array(da, [0])
column_descriptions = OrderedDict([("name", nix.DataType.String),
("id", nix.DataType.String),
("duration", nix.DataType.Float)])
values = [("Alpha", "a", 0),
("Beta", 'b', 0),
("Gamma", 'c', 0),
("Alpha", "a", 0),
("Gamma", 'c', 0),
("Alpha", "a", 0),
("Gamma", 'c', 0),
("Alpha", "a", 0),
("Beta", 'b', 0)]
df = self.block.create_data_frame("df-dimension",
"array.dimension.labels",
col_dict=column_descriptions,
data=values)
with self.assertRaises(RuntimeError):
sdim.link_data_array(df, 10)
def test_write_linked_array_props(self):
tickarray = self.block.create_data_array(
"ticks3d", "array.dimension.ticks",
data=np.random.random_sample((10, 5, 4))
)
tickarray.unit = "whatever"
ticks = np.cumsum(np.random.random_sample(5))
tickarray[3, :, 1] = ticks
tickarray.label = "DIMENSION LABEL"
self.range_dim.link_data_array(tickarray, [3, -1, 1])
assert tickarray.unit == self.range_dim.unit
assert tickarray.label == self.range_dim.label
self.range_dim.unit = "something else"
assert tickarray.unit == "something else"
assert tickarray.unit == self.range_dim.unit
self.range_dim.label = "MODIFIED DIMENSION LABEL"
assert tickarray.label == "MODIFIED DIMENSION LABEL"
assert tickarray.unit == self.range_dim.unit
def test_write_linked_dataframe_props(self):
column_descriptions = OrderedDict([("name", nix.DataType.String),
("id", nix.DataType.String),
("duration", nix.DataType.Double)])
values = [("Alpha", "a", 0),
("Beta", 'b', 0),
("Gamma", 'c', 0),
("Alpha", "a", 0),
("Gamma", 'c', 0),
("Alpha", "a", 0),
("Gamma", 'c', 0),
("Alpha", "a", 0),
("Beta", 'b', 0)]
units = (None, None, "s")
df = self.block.create_data_frame("df-dimension",
"array.dimension.labels",
col_dict=column_descriptions,
data=values)
df.units = units
self.range_dim.link_data_frame(df, 2)
assert self.range_dim.unit == df.units[2]
assert self.range_dim.label == df.column_names[2]
self.range_dim.unit = "m"
assert df.units[2] == "m"
assert self.range_dim.unit == df.units[2]
with self.assertRaises(RuntimeError):
# Can't change label: column name
self.range_dim.label = "a whole new label"
def test_range_link_tick_replacement(self):
tickarray = self.block.create_data_array(
"ticks", "array.dimension.ticks",
data=np.linspace(0, 100, 15)
)
assert "link" not in self.range_dim._h5group
assert "ticks" not in self.range_dim._h5group
# add link
self.range_dim.link_data_array(tickarray, [-1])
assert "link" in self.range_dim._h5group
assert "ticks" not in self.range_dim._h5group
# replace with ticks
self.range_dim.ticks = np.cumsum(np.random.random_sample(10))
assert "link" not in self.range_dim._h5group
assert "ticks" in self.range_dim._h5group
# replace with link again
self.range_dim.link_data_array(tickarray, [-1])
assert "link" in self.range_dim._h5group
assert "ticks" not in self.range_dim._h5group
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