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import numpy as np
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- from ..externals .six import BytesIO
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- from ..casting import type_info , have_binary128
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- from ..tmpdirs import InTemporaryDirectory
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- from ..spatialimages import HeaderDataError
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- from ..eulerangles import euler2mat
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- from ..affines import from_matvec
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- from .. import nifti1 as nifti1
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- from ..nifti1 import (load , Nifti1Header , Nifti1PairHeader , Nifti1Image ,
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- Nifti1Pair , Nifti1Extension , Nifti1Extensions ,
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- data_type_codes , extension_codes , slice_order_codes )
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-
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+ from nibabel import nifti1 as nifti1
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+ from nibabel .affines import from_matvec
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+ from nibabel .casting import type_info , have_binary128
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+ from nibabel .eulerangles import euler2mat
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+ from nibabel .externals .six import BytesIO
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+ from nibabel .nifti1 import (load , Nifti1Header , Nifti1PairHeader , Nifti1Image ,
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+ Nifti1Pair , Nifti1Extension , Nifti1Extensions ,
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+ data_type_codes , extension_codes ,
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+ slice_order_codes )
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+ from nibabel .openers import ImageOpener
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+ from nibabel .spatialimages import HeaderDataError
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+ from nibabel .tmpdirs import InTemporaryDirectory
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from ..freesurfer import load as mghload
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from .test_arraywriters import rt_err_estimate , IUINT_TYPES
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from nose .tools import (assert_true , assert_false , assert_equal ,
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assert_raises )
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- from ..testing import data_path , suppress_warnings
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+ from ..testing import data_path , suppress_warnings , runif_extra_has
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from . import test_analyze as tana
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from . import test_spm99analyze as tspm
@@ -1244,6 +1245,7 @@ def test_rt_bias(self):
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assert_true (np .abs (bias ) < bias_thresh )
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+ @runif_extra_has ('slow' )
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def test_large_nifti1 ():
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image_shape = (91 , 109 , 91 , 1200 )
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img = Nifti1Image (np .zeros (image_shape , dtype = np .float32 ),
@@ -1252,5 +1254,5 @@ def test_large_nifti1():
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img .to_filename ('test.nii.gz' )
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del img
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data = load ('test.nii.gz' ).get_data ()
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- assert_equal (np .asarray (image_shape ), data .shape )
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+ assert_array_equal (np .asarray (image_shape ), data .shape )
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assert_true (np .all (data == 0. ))
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