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Commit df4ca6f0 authored by Paul McCarthy's avatar Paul McCarthy :mountain_bicyclist:
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TEST: Suppressing more warnings. Image(indexed) parameter is deprecated. More

work to do here
parent 1a114121
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......@@ -225,7 +225,7 @@ def test_load_atlas():
reg.rescanAtlases()
probatlas = reg.loadAtlas('harvardoxford-cortical',
indexed=True, calcRange=False, loadData=False)
calcRange=False, loadData=False)
probsumatlas = reg.loadAtlas('harvardoxford-cortical', loadSummary=True)
lblatlas = reg.loadAtlas('talairach')
......@@ -240,7 +240,7 @@ def test_find():
reg.rescanAtlases()
probatlas = reg.loadAtlas('harvardoxford-cortical',
indexed=True, calcRange=False, loadData=False)
calcRange=False, loadData=False)
probsumatlas = reg.loadAtlas('harvardoxford-cortical', loadSummary=True)
lblatlas = reg.loadAtlas('talairach')
......@@ -273,7 +273,7 @@ def test_prepareMask():
reg.rescanAtlases()
probatlas = reg.loadAtlas('harvardoxford-cortical',
indexed=True, loadData=False, calcRange=False)
loadData=False, calcRange=False)
probsumatlas = reg.loadAtlas('harvardoxford-cortical', loadSummary=True)
lblatlas = reg.loadAtlas('talairach')
......
......@@ -45,8 +45,7 @@ def _get_atlas(atlasID, res, summary=False):
kwargs = {}
else:
kwargs = {'loadData' : False,
'calcRange' : False,
'indexed' : True}
'calcRange' : False}
atlas = fslatlases.loadAtlas(atlasID,
loadSummary=summary,
......
......@@ -98,7 +98,6 @@ def test_coords(seed):
atlas = fslatlases.loadAtlas(
ad.atlasID,
resolution=2,
indexed=True,
calcRange=False,
loadData=False)
......
......@@ -442,7 +442,6 @@ def test_bad_mask(seed):
atlas = fslatlases.loadAtlas(
atlasID,
loadSummary=use_label,
indexed=True,
loadData=False,
calcRange=False)
ashape = list(atlas.shape[:3])
......
......@@ -9,6 +9,7 @@
import os.path as op
import shutil
import tempfile
import warnings
import numpy as np
import pytest
......@@ -166,9 +167,12 @@ def test_loadVestLutFile():
for i in range(4):
f = testfiles[i]
d = testdata[ i]
dnorm = (d - d.min()) / (d.max() - d.min())
lutnorm = vest.loadVestLutFile(f)
lut = vest.loadVestLutFile(f, normalise=False)
with warnings.catch_warnings():
warnings.simplefilter('ignore')
dnorm = (d - d.min()) / (d.max() - d.min())
lutnorm = vest.loadVestLutFile(f)
lut = vest.loadVestLutFile(f, normalise=False)
assert lut.shape == d.shape
assert lutnorm.shape == dnorm.shape
......
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