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setup_for_testing.py
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49 lines (42 loc) · 1.74 KB
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# =========================================================================
#
# Copyright NumFOCUS
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0.txt
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# =========================================================================
#
# If we are in a continuous testing environment that is memory constrained,
# for instance CircleCI which limits memory to 4Gb. We override the ReadImage
# function using a decorator that also resamples the image.
#
import os
import SimpleITK as sitk
#
# A decorator which receives the size to shrink as a parameter.
#
def shrink_decorator(size):
def inner_decorator(func):
def func_and_resize(*args, **kwargs):
original_image = func(*args, **kwargs)
shrink_filter = sitk.ShrinkImageFilter()
shrink_filter.SetShrinkFactor(size)
f_and_s_image = shrink_filter.Execute(original_image)
# Copy metadata dictionary
for key in original_image.GetMetaDataKeys():
f_and_s_image.SetMetaData(key, original_image.GetMetaData(key))
return f_and_s_image
return func_and_resize
return inner_decorator
if os.environ.get("SIMPLE_ITK_MEMORY_CONSTRAINED_ENVIRONMENT"):
sitk.ReadImage = shrink_decorator(4)(sitk.ReadImage)