suspect-devices/circuitpython/tests/micropython/heapalloc.py, branch 6.1.0-beta.2 CircuitPython - a Python implementation for teaching coding with microcontrollers https://git.suspectdevices.com/suspect-devices/circuitpython/atom?h=6.1.0-beta.2 2017-12-11T10:04:59+00:00 tests/heapalloc, heapalloc_super: Skip in strict stackless mode. 2017-12-11T10:04:59+00:00 Paul Sokolovsky pfalcon@users.sourceforge.net 2017-12-11T09:58:44+00:00 urn:sha1:016f83053669ee56561bebd8e9b65dac77b670ac These tests involves testing allocation-free function calling, and in strict stackless mode, it's not possible to make a function call with heap locked (because function activation record aka frame is allocated on the heap). tests/micropython: Move alloc-less traceback test to separate test file. 2016-11-21T06:39:23+00:00 Damien George damien.p.george@gmail.com 2016-11-21T06:39:23+00:00 urn:sha1:1f43d49f9efa22d81e10be7bd20933986b4a3320 The native emitter doesn't provide proper traceback info so this test should not be run in that case. tests/micropython: Add test for creating traceback without allocation. 2016-11-21T06:10:17+00:00 Damien George damien.p.george@gmail.com 2016-11-21T06:10:17+00:00 urn:sha1:d70f87aaa2fe31b099359b4b27444f3b289cdb8c tests/micropython: Add tests for heap_lock, and emergency exceptions. 2016-10-13T13:32:34+00:00 Damien George damien.p.george@gmail.com 2016-10-13T13:32:34+00:00 urn:sha1:34d0b3f85c9926d854acd7723b9e057744916ee0 py: Fallback to stack alloca for Python-stack if heap alloc fails. 2015-06-08T21:07:27+00:00 Damien George damien.p.george@gmail.com 2015-06-08T21:07:27+00:00 urn:sha1:6e56bb623c66007cd3fe6e0a48c3af9f1e0814fc If heap allocation for the Python-stack of a function fails then we may as well allocate the Python-stack on the C stack. This will allow to run more code without using the heap. py: Make gc.enable/disable just control auto-GC; alloc is still allowed. 2014-10-31T21:30:46+00:00 Damien George damien.p.george@gmail.com 2014-10-31T21:30:46+00:00 urn:sha1:109c1de015eeee385020233e2f8cc6f921149103 gc.enable/disable are now the same as CPython: they just control whether automatic garbage collection is enabled or not. If disabled, you can still allocate heap memory, and initiate a manual collection. tests: Add feature test for when heap allocation is disabled. 2014-05-31T17:33:16+00:00 Damien George damien.p.george@gmail.com 2014-05-31T17:33:16+00:00 urn:sha1:4d659f566f094a42057023dcc82a3ca8810c5ba6