MAINT: sort imports in contrib

odl/contrib/datasets/ct/fips.py

@@ -9,12 +9,13 @@
 """Tomographic datasets from the Finish Inverse Problems Society (FIPS)."""
 
 from __future__ import division
+
 import numpy as np
+
 from odl.contrib.datasets.util import get_data
 from odl.discr import uniform_partition
 from odl.tomo import FanFlatGeometry
 
-
 __all__ = ('walnut_data', 'walnut_geometry',
            'lotus_root_data', 'lotus_root_geometry')
 

odl/contrib/datasets/images/cambridge.py

@@ -9,6 +9,7 @@
 """Images provided by the University of Cambridge."""
 
 import numpy as np
+
 import skimage.transform
 from odl.contrib.datasets.util import get_data
 

odl/contrib/datasets/images/examples/cambridge_images.py

@@ -1,8 +1,9 @@
 """Example of the Cambridge images."""
 
-import odl.contrib.datasets.images as images
 import numpy as np
+
 import odl
+import odl.contrib.datasets.images as images
 
 
 def convert_to_odl(image):

odl/contrib/datasets/mri/tugraz.py

@@ -11,8 +11,9 @@
 import numpy as np
 from pkg_resources import parse_version
 
-from odl.contrib.datasets.util import get_data
 import odl
+from odl.contrib.datasets.util import get_data
+
 if parse_version(np.__version__) < parse_version('1.12'):
     flip = odl.util.npy_compat.flip
 else:

odl/contrib/datasets/util.py

@@ -9,13 +9,14 @@
 """Utilities for datasets."""
 
 from __future__ import print_function
+
+import contextlib
 import os
-from os.path import join, expanduser, exists
-from future.moves.urllib.request import urlopen
+from os.path import exists, expanduser, join
 from shutil import copyfileobj, rmtree
-from scipy import io
-import contextlib
 
+from future.moves.urllib.request import urlopen
+from scipy import io
 
 __all__ = ('get_data_dir', 'cleanup_data_dir', 'get_data')
 

odl/contrib/fom/examples/haarpsi.py

@@ -3,6 +3,7 @@
 import matplotlib.pyplot as plt
 import numpy as np
 import scipy.misc
+
 from odl.contrib import fom
 
 # --- Generate images --- #

odl/contrib/fom/examples/noise_power_spectrum.py

@@ -1,6 +1,7 @@
 """Simple example of noise power spectrum (NPS)."""
 
 import numpy as np
+
 import odl
 from odl.contrib import fom
 

odl/contrib/fom/examples/supervised_comparison.py

@@ -7,10 +7,11 @@
 
 """
 
+import matplotlib.pyplot as plt
+import numpy as np
+
 import odl
 from odl.contrib import fom
-import numpy as np
-import matplotlib.pyplot as plt
 
 # Discrete space: discretized functions on the rectangle
 # [-20, 20]^2 with 100 samples per dimension.

odl/contrib/fom/supervised.py

@@ -9,6 +9,7 @@
 """Figures of merit (FOMs) for comparison against a known ground truth."""
 
 from __future__ import division
+
 import numpy as np
 
 import odl

odl/contrib/fom/test/test_supervised.py

@@ -9,10 +9,12 @@
 """Tests for supervised FoMs."""
 
 from __future__ import division
+
 import numpy as np
 import pytest
-import scipy.signal
 import scipy.misc
+import scipy.signal
+
 import odl
 import odl.contrib.fom
 from odl.contrib.fom.util import filter_image_sep2d

odl/contrib/fom/test/test_unsupervised.py

@@ -10,6 +10,7 @@
 
 import numpy as np
 import pytest
+
 import odl
 import odl.contrib.fom
 

odl/contrib/fom/unsupervised.py

@@ -9,6 +9,7 @@
 """Figures of Merit (FOMs) for measuring image quality without a reference."""
 
 from __future__ import division
+
 import numpy as np
 
 __all__ = ('estimate_noise_std',)

odl/contrib/mrc/examples/mrc_io.py

@@ -12,15 +12,15 @@
 
 from __future__ import print_function
 
-import matplotlib.pyplot as plt
-import numpy as np
 import os
 import tempfile
 
+import matplotlib.pyplot as plt
+import numpy as np
+
 from odl.contrib.mrc import (
     FileReaderMRC, FileWriterMRC, mrc_header_from_params)
 
-
 # --- Reading --- #
 
 file_path = os.path.join(os.path.dirname(os.path.abspath(__file__)),

odl/contrib/mrc/examples/raw_binary_with_header_io.py

@@ -12,16 +12,16 @@
 sequence of dictionaries with a certain structure.
 """
 
+import tempfile
 from collections import OrderedDict
+
 import matplotlib.pyplot as plt
 import numpy as np
 import scipy
-import tempfile
 
 from odl.contrib.mrc import (
     FileReaderRawBinaryWithHeader, FileWriterRawBinaryWithHeader)
 
-
 # --- Writing --- #
 
 # Create some test data. We arbitrarily define origin and pixel size.

odl/contrib/mrc/mrc.py

@@ -8,19 +8,20 @@
 
 """Specification and reader for the MRC2014 file format."""
 
-from __future__ import print_function, division, absolute_import
+from __future__ import absolute_import, division, print_function
+
+import struct
+import warnings
 from builtins import int, object
 from collections import OrderedDict
 from itertools import permutations
+
 import numpy as np
-import struct
-import warnings
 
 from odl.contrib.mrc.uncompr_bin import (
     FileReaderRawBinaryWithHeader, FileWriterRawBinaryWithHeader,
     header_fields_from_table)
 
-
 __all__ = ('FileReaderMRC', 'FileWriterMRC', 'mrc_header_from_params')
 
 

odl/contrib/mrc/test/mrc_test.py

@@ -9,17 +9,18 @@
 """Tests for the MRC I/O routines."""
 
 from __future__ import division
+
+import tempfile
 from itertools import permutations
-import pytest
+
 import numpy as np
-import tempfile
+import pytest
 
 import odl
 from odl.contrib.mrc import (
-    mrc_header_from_params, FileWriterMRC, FileReaderMRC)
+    FileReaderMRC, FileWriterMRC, mrc_header_from_params)
 from odl.util.testutils import all_equal, simple_fixture
 
-
 # --- pytest fixtures --- #
 
 

odl/contrib/mrc/test/uncompr_bin_test.py

@@ -13,15 +13,16 @@
 """
 
 from __future__ import division
-import numpy as np
+
 import tempfile
 
+import numpy as np
+
 import odl
 from odl.contrib.mrc import (
-    FileWriterRawBinaryWithHeader, FileReaderRawBinaryWithHeader)
+    FileReaderRawBinaryWithHeader, FileWriterRawBinaryWithHeader)
 from odl.util.testutils import simple_fixture
 
-
 # --- pytest fixtures --- #
 
 

odl/contrib/mrc/uncompr_bin.py

@@ -8,13 +8,14 @@
 
 """Utilities and class for reading uncompressed binary files with header."""
 
-from __future__ import print_function, division, absolute_import
-from builtins import int, object
-from collections import OrderedDict
+from __future__ import absolute_import, division, print_function
+
 import csv
-import numpy as np
 import struct
+from builtins import int, object
+from collections import OrderedDict
 
+import numpy as np
 
 __all__ = ('FileReaderRawBinaryWithHeader',
            'FileWriterRawBinaryWithHeader',

odl/contrib/pyshearlab/pyshearlab_operator.py

@@ -9,11 +9,12 @@
 """ODL integration with pyshearlab."""
 
 
-import odl
-import numpy as np
-import pyshearlab
 from threading import Lock
 
+import numpy as np
+
+import odl
+import pyshearlab
 
 __all__ = ('PyShearlabOperator',)
 

odl/contrib/pyshearlab/test/operator_test.py

@@ -8,13 +8,13 @@
 
 """Unit tests for the ODL-pyshearlab integration."""
 
-import pytest
 import numpy as np
+import pytest
+
 import odl
 import odl.contrib.pyshearlab
 from odl.util.testutils import all_almost_equal, simple_fixture
 
-
 dtype = simple_fixture('dtype', ['float32', 'float64'])
 shape = simple_fixture('shape', [(64, 64), (128, 128)])
 

odl/contrib/solvers/examples/tomography_nonlocalmeans.py

@@ -12,10 +12,10 @@
 """
 
 import numpy as np
+
 import odl
 import odl.contrib.solvers
 
-
 # Select what type of denoising to use. Options: 'TV', 'NLM' and 'TV_NLM'
 model = 'TV'
 

odl/contrib/solvers/functional/nonlocalmeans_functionals.py

@@ -8,7 +8,8 @@
 
 """Non Local Means functionals."""
 
-from __future__ import print_function, division, absolute_import
+from __future__ import absolute_import, division, print_function
+
 import numpy as np
 
 from odl.operator import Operator

odl/contrib/tensorflow/examples/tensorflow_layer_matrix.py

@@ -9,11 +9,12 @@
 """
 
 from __future__ import print_function
-import tensorflow as tf
+
 import numpy as np
 
 import odl
 import odl.contrib.tensorflow
+import tensorflow as tf
 
 sess = tf.InteractiveSession()
 

odl/contrib/tensorflow/examples/tensorflow_layer_productspace.py

@@ -5,9 +5,10 @@
 """
 
 from __future__ import print_function
-import tensorflow as tf
+
 import odl
 import odl.contrib.tensorflow
+import tensorflow as tf
 
 sess = tf.InteractiveSession()
 

odl/contrib/tensorflow/examples/tensorflow_layer_ray_transform.py

@@ -5,10 +5,12 @@
 """
 
 from __future__ import print_function
-import tensorflow as tf
+
 import numpy as np
+
 import odl
 import odl.contrib.tensorflow
+import tensorflow as tf
 
 sess = tf.InteractiveSession()
 

odl/contrib/tensorflow/examples/tensorflow_operator_matrix.py

@@ -5,10 +5,12 @@
 """
 
 from __future__ import print_function
-import tensorflow as tf
+
 import numpy as np
+
 import odl
 import odl.contrib.tensorflow
+import tensorflow as tf
 
 sess = tf.InteractiveSession()
 

odl/contrib/tensorflow/examples/tensorflow_tomography.py

@@ -7,10 +7,11 @@
 using a gradient descent method (ADAM).
 """
 
-import tensorflow as tf
 import numpy as np
+
 import odl
 import odl.contrib.tensorflow
+import tensorflow as tf
 
 sess = tf.InteractiveSession()
 

odl/contrib/tensorflow/layer.py

@@ -8,14 +8,16 @@
 
 """Utilities for converting ODL operators to tensorflow layers."""
 
-from __future__ import print_function, division, absolute_import
+from __future__ import absolute_import, division, print_function
+
+import uuid
+
 import numpy as np
+
 import odl
-import uuid
 import tensorflow as tf
 from tensorflow.python.framework import ops
 
-
 __all__ = ('as_tensorflow_layer',)