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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
#
# https://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.
#
# ==========================================================================*/
import sys
import numpy as np
import itk
import resource
ImageType = itk.Image[itk.F, 3]
converter = itk.PyBuffer[ImageType]
# adding +1 to numpy created once
inputNumpyVolume = np.ones([100, 100, 100], dtype=np.float32)
n = 10
M = []
X = range(n)
for i in range(n):
inputNumpyVolume += 1
inputVolume = converter.GetImageViewFromArray(inputNumpyVolume)
M.append(resource.getrusage(resource.RUSAGE_SELF).ru_maxrss)
if M[5] - M[4] > 1000:
print("Memory leak 1!")
sys.exit(1)
# creating new numpy volume each time
M = []
X = [x + n for x in range(n)]
for i in range(n):
inputNumpyVolume = np.ones([100, 100, 100], dtype=np.float32)
inputVolume = converter.GetImageViewFromArray(inputNumpyVolume)
M.append(resource.getrusage(resource.RUSAGE_SELF).ru_maxrss)
if M[5] - M[4] > 1000:
print("Memory leak 2!")
sys.exit(1)
# creating new numpy volume but not calling converter.GetImageViewFromArray(inputNumpyVolume)
M = []
X = [x + 2 * n for x in range(n)]
for i in range(n):
inputNumpyVolume = np.ones([100, 100, 100], dtype=np.float32)
M.append(resource.getrusage(resource.RUSAGE_SELF).ru_maxrss)
if M[5] - M[4] > 1000:
print("Memory leak 3!")
sys.exit(1)
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