Merge pull request #2156 from soupault/depr_013

Remove deprecated `_mode_deprecations`
This commit is contained in:
Johannes Schönberger
2016-06-19 08:18:56 +02:00
committed by GitHub
5 changed files with 3 additions and 23 deletions
-4
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@@ -22,7 +22,3 @@ Version 0.14
Version 0.13
------------
* Remove deprecated `None` defaults for `skimage.exposure.rescale_intensity`
* Remove supported for renamed edge mode, 'nearest' (it is now 'edge'). This
involves removing the function _mode_deprecations from skimage._shared.utils
as well as any uses of _mode_deprecations from restoration/_denoise.py,
_shared/interpolation.pyx, transform/_geometric.py, and transform/_warps.py
+1 -2
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@@ -1,7 +1,6 @@
from interpolation cimport coord_map, get_pixel2d
import numpy as np
cimport numpy as cnp
from .utils import _mode_deprecations
def coord_map_py(Py_ssize_t dim, long coord, mode):
@@ -37,7 +36,7 @@ def extend_image(image, pad=10, mode='constant', cval=0):
function is intended only for testing `get_pixel2d` and demonstrating the
coordinate mapping modes implemented in `coord_map`.
"""
mode = _mode_deprecations(mode)
cdef:
Py_ssize_t rows = image.shape[0]
Py_ssize_t cols = image.shape[1]
-11
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@@ -167,17 +167,6 @@ def assert_nD(array, ndim, arg_name='image'):
raise ValueError(msg % (arg_name, '-or-'.join([str(n) for n in ndim])))
def _mode_deprecations(mode):
"""Used to update deprecated mode names in
`skimage._shared.interpolation.pyx`."""
if mode.lower() == 'nearest':
warn(skimage_deprecation(
"Mode 'nearest' has been renamed to 'edge'. Mode 'nearest' will be "
"removed in a future release."))
mode = 'edge'
return mode
def copy_func(f, name=None):
"""Create a copy of a function.
+1 -2
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@@ -3,7 +3,7 @@ import numpy as np
from math import ceil
from .. import img_as_float
from ..restoration._denoise_cy import _denoise_bilateral, _denoise_tv_bregman
from .._shared.utils import _mode_deprecations, skimage_deprecation, warn
from .._shared.utils import skimage_deprecation, warn
import warnings
@@ -115,7 +115,6 @@ def denoise_bilateral(image, win_size=None, sigma_color=None, sigma_spatial=1,
if win_size is None:
win_size = max(5, 2 * int(ceil(3 * sigma_spatial)) + 1)
mode = _mode_deprecations(mode)
return _denoise_bilateral(image, win_size, sigma_color, sigma_spatial,
bins, mode, cval)
+1 -4
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@@ -4,8 +4,7 @@ import numpy as np
from scipy import spatial
from scipy import ndimage as ndi
from .._shared.utils import (get_bound_method_class, safe_as_int,
_mode_deprecations, warn)
from .._shared.utils import (get_bound_method_class, safe_as_int, warn)
from ..util import img_as_float
from ._warps_cy import _warp_fast
@@ -13,7 +12,6 @@ from ._warps_cy import _warp_fast
def _to_ndimage_mode(mode):
"""Convert from `numpy.pad` mode name to the corresponding ndimage mode."""
mode = _mode_deprecations(mode.lower())
mode_translation_dict = dict(edge='nearest', symmetric='reflect',
reflect='mirror')
if mode in mode_translation_dict:
@@ -1286,7 +1284,6 @@ def warp(image, inverse_map=None, map_args={}, output_shape=None, order=1,
>>> warped = warp(cube, coords)
"""
mode = _mode_deprecations(mode)
image = _convert_warp_input(image, preserve_range)
input_shape = np.array(image.shape)