0x1998 - MANAGER

Düzenlenen Dosya: test_mem_policy.py

import asyncio import gc import os import pytest import numpy as np import threading import warnings from numpy.testing import extbuild, assert_warns, IS_WASM import sys @pytest.fixture def get_module(tmp_path): """ Add a memory policy that returns a false pointer 64 bytes into the actual allocation, and fill the prefix with some text. Then check at each memory manipulation that the prefix exists, to make sure all alloc/realloc/ free/calloc go via the functions here. """ if sys.platform.startswith('cygwin'): pytest.skip('link fails on cygwin') if IS_WASM: pytest.skip("Can't build module inside Wasm") functions = [ ("get_default_policy", "METH_NOARGS", """ Py_INCREF(PyDataMem_DefaultHandler); return PyDataMem_DefaultHandler; """), ("set_secret_data_policy", "METH_NOARGS", """ PyObject *secret_data = PyCapsule_New(&secret_data_handler, "mem_handler", NULL); if (secret_data == NULL) { return NULL; } PyObject *old = PyDataMem_SetHandler(secret_data); Py_DECREF(secret_data); return old; """), ("set_old_policy", "METH_O", """ PyObject *old; if (args != NULL && PyCapsule_CheckExact(args)) { old = PyDataMem_SetHandler(args); } else { old = PyDataMem_SetHandler(NULL); } return old; """), ("get_array", "METH_NOARGS", """ char *buf = (char *)malloc(20); npy_intp dims[1]; dims[0] = 20; PyArray_Descr *descr = PyArray_DescrNewFromType(NPY_UINT8); return PyArray_NewFromDescr(&PyArray_Type, descr, 1, dims, NULL, buf, NPY_ARRAY_WRITEABLE, NULL); """), ("set_own", "METH_O", """ if (!PyArray_Check(args)) { PyErr_SetString(PyExc_ValueError, "need an ndarray"); return NULL; } PyArray_ENABLEFLAGS((PyArrayObject*)args, NPY_ARRAY_OWNDATA); // Maybe try this too? // PyArray_BASE(PyArrayObject *)args) = NULL; Py_RETURN_NONE; """), ("get_array_with_base", "METH_NOARGS", """ char *buf = (char *)malloc(20); npy_intp dims[1]; dims[0] = 20; PyArray_Descr *descr = PyArray_DescrNewFromType(NPY_UINT8); PyObject *arr = PyArray_NewFromDescr(&PyArray_Type, descr, 1, dims, NULL, buf, NPY_ARRAY_WRITEABLE, NULL); if (arr == NULL) return NULL; PyObject *obj = PyCapsule_New(buf, "buf capsule", (PyCapsule_Destructor)&warn_on_free); if (obj == NULL) { Py_DECREF(arr); return NULL; } if (PyArray_SetBaseObject((PyArrayObject *)arr, obj) < 0) { Py_DECREF(arr); Py_DECREF(obj); return NULL; } return arr; """), ] prologue = ''' #define NPY_TARGET_VERSION NPY_1_22_API_VERSION #define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION #include <numpy/arrayobject.h> /* * This struct allows the dynamic configuration of the allocator funcs * of the `secret_data_allocator`. It is provided here for * demonstration purposes, as a valid `ctx` use-case scenario. */ typedef struct { void *(*malloc)(size_t); void *(*calloc)(size_t, size_t); void *(*realloc)(void *, size_t); void (*free)(void *); } SecretDataAllocatorFuncs; NPY_NO_EXPORT void * shift_alloc(void *ctx, size_t sz) { SecretDataAllocatorFuncs *funcs = (SecretDataAllocatorFuncs *)ctx; char *real = (char *)funcs->malloc(sz + 64); if (real == NULL) { return NULL; } snprintf(real, 64, "originally allocated %ld", (unsigned long)sz); return (void *)(real + 64); } NPY_NO_EXPORT void * shift_zero(void *ctx, size_t sz, size_t cnt) { SecretDataAllocatorFuncs *funcs = (SecretDataAllocatorFuncs *)ctx; char *real = (char *)funcs->calloc(sz + 64, cnt); if (real == NULL) { return NULL; } snprintf(real, 64, "originally allocated %ld via zero", (unsigned long)sz); return (void *)(real + 64); } NPY_NO_EXPORT void shift_free(void *ctx, void * p, npy_uintp sz) { SecretDataAllocatorFuncs *funcs = (SecretDataAllocatorFuncs *)ctx; if (p == NULL) { return ; } char *real = (char *)p - 64; if (strncmp(real, "originally allocated", 20) != 0) { fprintf(stdout, "uh-oh, unmatched shift_free, " "no appropriate prefix\\n"); /* Make C runtime crash by calling free on the wrong address */ funcs->free((char *)p + 10); /* funcs->free(real); */ } else { npy_uintp i = (npy_uintp)atoi(real +20); if (i != sz) { fprintf(stderr, "uh-oh, unmatched shift_free" "(ptr, %ld) but allocated %ld\\n", sz, i); /* This happens in some places, only print */ funcs->free(real); } else { funcs->free(real); } } } NPY_NO_EXPORT void * shift_realloc(void *ctx, void * p, npy_uintp sz) { SecretDataAllocatorFuncs *funcs = (SecretDataAllocatorFuncs *)ctx; if (p != NULL) { char *real = (char *)p - 64; if (strncmp(real, "originally allocated", 20) != 0) { fprintf(stdout, "uh-oh, unmatched shift_realloc\\n"); return realloc(p, sz); } return (void *)((char *)funcs->realloc(real, sz + 64) + 64); } else { char *real = (char *)funcs->realloc(p, sz + 64); if (real == NULL) { return NULL; } snprintf(real, 64, "originally allocated " "%ld via realloc", (unsigned long)sz); return (void *)(real + 64); } } /* As an example, we use the standard {m|c|re}alloc/free funcs. */ static SecretDataAllocatorFuncs secret_data_handler_ctx = { malloc, calloc, realloc, free }; static PyDataMem_Handler secret_data_handler = { "secret_data_allocator", 1, { &secret_data_handler_ctx, /* ctx */ shift_alloc, /* malloc */ shift_zero, /* calloc */ shift_realloc, /* realloc */ shift_free /* free */ } }; void warn_on_free(void *capsule) { PyErr_WarnEx(PyExc_UserWarning, "in warn_on_free", 1); void * obj = PyCapsule_GetPointer(capsule, PyCapsule_GetName(capsule)); free(obj); }; ''' more_init = "import_array();" try: import mem_policy return mem_policy except ImportError: pass # if it does not exist, build and load it return extbuild.build_and_import_extension('mem_policy', functions, prologue=prologue, include_dirs=[np.get_include()], build_dir=tmp_path, more_init=more_init) def test_set_policy(get_module): get_handler_name = np.core.multiarray.get_handler_name get_handler_version = np.core.multiarray.get_handler_version orig_policy_name = get_handler_name() a = np.arange(10).reshape((2, 5)) # a doesn't own its own data assert get_handler_name(a) is None assert get_handler_version(a) is None assert get_handler_name(a.base) == orig_policy_name assert get_handler_version(a.base) == 1 orig_policy = get_module.set_secret_data_policy() b = np.arange(10).reshape((2, 5)) # b doesn't own its own data assert get_handler_name(b) is None assert get_handler_version(b) is None assert get_handler_name(b.base) == 'secret_data_allocator' assert get_handler_version(b.base) == 1 if orig_policy_name == 'default_allocator': get_module.set_old_policy(None) # tests PyDataMem_SetHandler(NULL) assert get_handler_name() == 'default_allocator' else: get_module.set_old_policy(orig_policy) assert get_handler_name() == orig_policy_name def test_default_policy_singleton(get_module): get_handler_name = np.core.multiarray.get_handler_name # set the policy to default orig_policy = get_module.set_old_policy(None) assert get_handler_name() == 'default_allocator' # re-set the policy to default def_policy_1 = get_module.set_old_policy(None) assert get_handler_name() == 'default_allocator' # set the policy to original def_policy_2 = get_module.set_old_policy(orig_policy) # since default policy is a singleton, # these should be the same object assert def_policy_1 is def_policy_2 is get_module.get_default_policy() def test_policy_propagation(get_module): # The memory policy goes hand-in-hand with flags.owndata class MyArr(np.ndarray): pass get_handler_name = np.core.multiarray.get_handler_name orig_policy_name = get_handler_name() a = np.arange(10).view(MyArr).reshape((2, 5)) assert get_handler_name(a) is None assert a.flags.owndata is False assert get_handler_name(a.base) is None assert a.base.flags.owndata is False assert get_handler_name(a.base.base) == orig_policy_name assert a.base.base.flags.owndata is True async def concurrent_context1(get_module, orig_policy_name, event): if orig_policy_name == 'default_allocator': get_module.set_secret_data_policy() assert np.core.multiarray.get_handler_name() == 'secret_data_allocator' else: get_module.set_old_policy(None) assert np.core.multiarray.get_handler_name() == 'default_allocator' event.set() async def concurrent_context2(get_module, orig_policy_name, event): await event.wait() # the policy is not affected by changes in parallel contexts assert np.core.multiarray.get_handler_name() == orig_policy_name # change policy in the child context if orig_policy_name == 'default_allocator': get_module.set_secret_data_policy() assert np.core.multiarray.get_handler_name() == 'secret_data_allocator' else: get_module.set_old_policy(None) assert np.core.multiarray.get_handler_name() == 'default_allocator' async def async_test_context_locality(get_module): orig_policy_name = np.core.multiarray.get_handler_name() event = asyncio.Event() # the child contexts inherit the parent policy concurrent_task1 = asyncio.create_task( concurrent_context1(get_module, orig_policy_name, event)) concurrent_task2 = asyncio.create_task( concurrent_context2(get_module, orig_policy_name, event)) await concurrent_task1 await concurrent_task2 # the parent context is not affected by child policy changes assert np.core.multiarray.get_handler_name() == orig_policy_name def test_context_locality(get_module): if (sys.implementation.name == 'pypy' and sys.pypy_version_info[:3] < (7, 3, 6)): pytest.skip('no context-locality support in PyPy < 7.3.6') asyncio.run(async_test_context_locality(get_module)) def concurrent_thread1(get_module, event): get_module.set_secret_data_policy() assert np.core.multiarray.get_handler_name() == 'secret_data_allocator' event.set() def concurrent_thread2(get_module, event): event.wait() # the policy is not affected by changes in parallel threads assert np.core.multiarray.get_handler_name() == 'default_allocator' # change policy in the child thread get_module.set_secret_data_policy() def test_thread_locality(get_module): orig_policy_name = np.core.multiarray.get_handler_name() event = threading.Event() # the child threads do not inherit the parent policy concurrent_task1 = threading.Thread(target=concurrent_thread1, args=(get_module, event)) concurrent_task2 = threading.Thread(target=concurrent_thread2, args=(get_module, event)) concurrent_task1.start() concurrent_task2.start() concurrent_task1.join() concurrent_task2.join() # the parent thread is not affected by child policy changes assert np.core.multiarray.get_handler_name() == orig_policy_name @pytest.mark.slow def test_new_policy(get_module): a = np.arange(10) orig_policy_name = np.core.multiarray.get_handler_name(a) orig_policy = get_module.set_secret_data_policy() b = np.arange(10) assert np.core.multiarray.get_handler_name(b) == 'secret_data_allocator' # test array manipulation. This is slow if orig_policy_name == 'default_allocator': # when the np.core.test tests recurse into this test, the # policy will be set so this "if" will be false, preventing # infinite recursion # # if needed, debug this by # - running tests with -- -s (to not capture stdout/stderr # - setting extra_argv=['-vv'] here assert np.core.test('full', verbose=2, extra_argv=['-vv']) # also try the ma tests, the pickling test is quite tricky assert np.ma.test('full', verbose=2, extra_argv=['-vv']) get_module.set_old_policy(orig_policy) c = np.arange(10) assert np.core.multiarray.get_handler_name(c) == orig_policy_name @pytest.mark.xfail(sys.implementation.name == "pypy", reason=("bad interaction between getenv and " "os.environ inside pytest")) @pytest.mark.parametrize("policy", ["0", "1", None]) def test_switch_owner(get_module, policy): a = get_module.get_array() assert np.core.multiarray.get_handler_name(a) is None get_module.set_own(a) oldval = os.environ.get('NUMPY_WARN_IF_NO_MEM_POLICY', None) if policy is None: if 'NUMPY_WARN_IF_NO_MEM_POLICY' in os.environ: os.environ.pop('NUMPY_WARN_IF_NO_MEM_POLICY') else: os.environ['NUMPY_WARN_IF_NO_MEM_POLICY'] = policy try: # The policy should be NULL, so we have to assume we can call # "free". A warning is given if the policy == "1" if policy == "1": with assert_warns(RuntimeWarning) as w: del a gc.collect() else: del a gc.collect() finally: if oldval is None: if 'NUMPY_WARN_IF_NO_MEM_POLICY' in os.environ: os.environ.pop('NUMPY_WARN_IF_NO_MEM_POLICY') else: os.environ['NUMPY_WARN_IF_NO_MEM_POLICY'] = oldval def test_owner_is_base(get_module): a = get_module.get_array_with_base() with pytest.warns(UserWarning, match='warn_on_free'): del a gc.collect()
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