[pypy-issue] Issue #2881: List strategies: switching to object can create more memory pressure than expected (pypy/pypy)
New issue 2881: List strategies: switching to object can create more memory pressure than expected https://bitbucket.org/pypy/pypy/issues/2881/list-strategies-switching-to-object-can Armin Rigo: Here's a case where memory pressure increases much more than naively expected: ``` #! python lst = [0] * (10**8) lst[0] = 'X!' ``` That's because the switch to the object strategy will create 100 million new copies of the object ``0``, whereas on CPython the list contains 100 million references to the same object ``0``. ___ pypy-issue mailing list pypy-issue@python.org https://mail.python.org/mailman/listinfo/pypy-issue
[pypy-issue] Issue #2882: PyPy3+ numpy in a docker container with Jupyter, test errors (pypy/pypy)
New issue 2882: PyPy3+ numpy in a docker container with Jupyter, test errors https://bitbucket.org/pypy/pypy/issues/2882/pypy3-numpy-in-a-docker-container-with Giovanni DG: I am trying to encapsulate PyPy with numpy ina [docker container]( http://hub.docker.com/r/giodegas/pypy-jupyter). I run the test with: pytest --pyargs --continue-on-collection-errors numpy > numpy_pytest.log which terminates with === 9 failed, 4643 passed, 445 skipped, 9 xfailed in 1379.38 seconds === I included the numpy_pytest.log ___ pypy-issue mailing list pypy-issue@python.org https://mail.python.org/mailman/listinfo/pypy-issue
