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-rw-r--r--numpy/lib/tests/test_io.py32
1 files changed, 19 insertions, 13 deletions
diff --git a/numpy/lib/tests/test_io.py b/numpy/lib/tests/test_io.py
index db9f35f2a..8ce20a116 100644
--- a/numpy/lib/tests/test_io.py
+++ b/numpy/lib/tests/test_io.py
@@ -1,4 +1,5 @@
import sys
+import gc
import gzip
import os
import threading
@@ -12,6 +13,7 @@ from tempfile import NamedTemporaryFile
from io import BytesIO, StringIO
from datetime import datetime
import locale
+from multiprocessing import Process
import numpy as np
import numpy.ma as ma
@@ -276,8 +278,6 @@ class TestSavezLoad(RoundtripTest):
fp.seek(0)
assert_(not fp.closed)
- #FIXME: Is this still true?
- @pytest.mark.skipif(IS_PYPY, reason="Missing context manager on PyPy")
def test_closing_fid(self):
# Test that issue #1517 (too many opened files) remains closed
# It might be a "weak" test since failed to get triggered on
@@ -290,17 +290,18 @@ class TestSavezLoad(RoundtripTest):
# numpy npz file returned by np.load when their reference count
# goes to zero. Python 3 running in debug mode raises a
# ResourceWarning when file closing is left to the garbage
- # collector, so we catch the warnings. Because ResourceWarning
- # is unknown in Python < 3.x, we take the easy way out and
- # catch all warnings.
+ # collector, so we catch the warnings.
with suppress_warnings() as sup:
- sup.filter(Warning) # TODO: specify exact message
+ sup.filter(ResourceWarning) # TODO: specify exact message
for i in range(1, 1025):
try:
np.load(tmp)["data"]
except Exception as e:
msg = "Failed to load data from a file: %s" % e
raise AssertionError(msg)
+ finally:
+ if IS_PYPY:
+ gc.collect()
def test_closing_zipfile_after_load(self):
# Check that zipfile owns file and can close it. This needs to
@@ -568,16 +569,21 @@ class TestSaveTxt:
else:
assert_equal(s.read(), b"%f\n" % 1.)
- @pytest.mark.skipif(sys.platform=='win32',
- reason="large files cause problems")
+ @pytest.mark.skipif(sys.platform=='win32', reason="files>4GB may not work")
@pytest.mark.slow
@requires_memory(free_bytes=7e9)
def test_large_zip(self):
- # The test takes at least 6GB of memory, writes a file larger than 4GB
- test_data = np.asarray([np.random.rand(np.random.randint(50,100),4)
- for i in range(800000)], dtype=object)
- with tempdir() as tmpdir:
- np.savez(os.path.join(tmpdir, 'test.npz'), test_data=test_data)
+ def check_large_zip():
+ # The test takes at least 6GB of memory, writes a file larger than 4GB
+ test_data = np.asarray([np.random.rand(np.random.randint(50,100),4)
+ for i in range(800000)], dtype=object)
+ with tempdir() as tmpdir:
+ np.savez(os.path.join(tmpdir, 'test.npz'), test_data=test_data)
+ # run in a subprocess to ensure memory is released on PyPy, see gh-15775
+ p = Process(target=check_large_zip)
+ p.start()
+ p.join()
+ assert p.exitcode == 0
class LoadTxtBase:
def check_compressed(self, fopen, suffixes):