ai-content-maker/.venv/Lib/site-packages/numba/tests/test_practical_lowering_iss...

213 lines
6.8 KiB
Python

"""
Tests for practical lowering specific errors.
"""
import numpy as np
from numba import njit
from numba.core import types, ir
from numba.core.compiler import CompilerBase, DefaultPassBuilder
from numba.core.typed_passes import NopythonTypeInference
from numba.core.compiler_machinery import register_pass, FunctionPass
from numba.tests.support import MemoryLeakMixin, TestCase
def issue7507_lround(a):
"""Dummy function used in test"""
pass
class TestLowering(MemoryLeakMixin, TestCase):
def test_issue4156_loop_vars_leak(self):
"""Test issues with zero-filling of refct'ed variables inside loops.
Before the fix, the in-loop variables are always zero-filled at their
definition location. As a result, their state from the previous
iteration is erased. No decref is applied. To fix this, the
zero-filling must only happen once after the alloca at the function
entry block. The loop variables are technically defined once per
function (one alloca per definition per function), but semantically
defined once per assignment. Semantically, their lifetime stop only
when the variable is re-assigned or when the function ends.
"""
@njit
def udt(N):
sum_vec = np.zeros(3)
for n in range(N):
if n >= 0:
# `vec` would leak without the fix.
vec = np.ones(1)
if n >= 0:
sum_vec += vec[0]
return sum_vec
got = udt(4)
expect = udt.py_func(4)
self.assertPreciseEqual(got, expect)
def test_issue4156_loop_vars_leak_variant1(self):
"""Variant of test_issue4156_loop_vars_leak.
Adding an outer loop.
"""
@njit
def udt(N):
sum_vec = np.zeros(3)
for x in range(N):
for y in range(N):
n = x + y
if n >= 0:
# `vec` would leak without the fix.
vec = np.ones(1)
if n >= 0:
sum_vec += vec[0]
return sum_vec
got = udt(4)
expect = udt.py_func(4)
self.assertPreciseEqual(got, expect)
def test_issue4156_loop_vars_leak_variant2(self):
"""Variant of test_issue4156_loop_vars_leak.
Adding deeper outer loop.
"""
@njit
def udt(N):
sum_vec = np.zeros(3)
for z in range(N):
for x in range(N):
for y in range(N):
n = x + y + z
if n >= 0:
# `vec` would leak without the fix.
vec = np.ones(1)
if n >= 0:
sum_vec += vec[0]
return sum_vec
got = udt(4)
expect = udt.py_func(4)
self.assertPreciseEqual(got, expect)
def test_issue4156_loop_vars_leak_variant3(self):
"""Variant of test_issue4156_loop_vars_leak.
Adding inner loop around allocation
"""
@njit
def udt(N):
sum_vec = np.zeros(3)
for z in range(N):
for x in range(N):
n = x + z
if n >= 0:
for y in range(N):
# `vec` would leak without the fix.
vec = np.ones(y)
if n >= 0:
sum_vec += vec[0]
return sum_vec
got = udt(4)
expect = udt.py_func(4)
self.assertPreciseEqual(got, expect)
def test_issue4156_loop_vars_leak_variant4(self):
"""Variant of test_issue4156_loop_vars_leak.
Interleaves loops and allocations
"""
@njit
def udt(N):
sum_vec = 0
for n in range(N):
vec = np.zeros(7)
for n in range(N):
z = np.zeros(7)
sum_vec += vec[0] + z[0]
return sum_vec
got = udt(4)
expect = udt.py_func(4)
self.assertPreciseEqual(got, expect)
def test_issue_with_literal_in_static_getitem(self):
"""Test an issue with literal type used as index of static_getitem
"""
@register_pass(mutates_CFG=False, analysis_only=False)
class ForceStaticGetitemLiteral(FunctionPass):
_name = "force_static_getitem_literal"
def __init__(self):
FunctionPass.__init__(self)
def run_pass(self, state):
repl = {}
# Force the static_getitem to have a literal type as
# index to replicate the problem.
for inst, sig in state.calltypes.items():
if (isinstance(inst, ir.Expr) and
inst.op == 'static_getitem'):
[obj, idx] = sig.args
new_sig = sig.replace(args=(obj,
types.literal(inst.index)))
repl[inst] = new_sig
state.calltypes.update(repl)
return True
class CustomPipeline(CompilerBase):
def define_pipelines(self):
pm = DefaultPassBuilder.define_nopython_pipeline(self.state)
pm.add_pass_after(ForceStaticGetitemLiteral,
NopythonTypeInference)
pm.finalize()
return [pm]
@njit(pipeline_class=CustomPipeline)
def foo(arr):
return arr[4] # force static_getitem
arr = np.arange(10)
got = foo(arr)
expect = foo.py_func(arr)
self.assertEqual(got, expect)
def test_issue7507(self):
"""
Test a problem with BaseContext.get_function() because of changes
related to the new style error handling.
"""
from numba.core.typing.templates import AbstractTemplate, infer_global
from numba.core.imputils import lower_builtin
@infer_global(issue7507_lround)
class lroundTemplate(AbstractTemplate):
key = issue7507_lround
def generic(self, args, kws):
signature = types.int64(types.float64)
# insert a new builtin during the compilation process
@lower_builtin(issue7507_lround, types.float64)
def codegen(context, builder, sig, args):
# Simply truncate with the cast to integer.
return context.cast(builder, args[0], sig.args[0],
sig.return_type)
return signature
@njit('int64(float64)')
def foo(a):
return issue7507_lround(a)
self.assertEqual(foo(3.4), 3)