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Add allocate-dicts heap benchmark
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# Copyright (c) 2026, Oracle and/or its affiliates. All rights reserved.
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# DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
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#
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# The Universal Permissive License (UPL), Version 1.0
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#
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# Subject to the condition set forth below, permission is hereby granted to any
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# person obtaining a copy of this software, associated documentation and/or
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# data (collectively the "Software"), free of charge and under any and all
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# copyright rights in the Software, and any and all patent rights owned or
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# freely licensable by each licensor hereunder covering either (i) the
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# unmodified Software as contributed to or provided by such licensor, or (ii)
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# the Larger Works (as defined below), to deal in both
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#
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# (a) the Software, and
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#
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# (b) any piece of software and/or hardware listed in the lrgrwrks.txt file if
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# one is included with the Software each a "Larger Work" to which the Software
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# is contributed by such licensors),
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#
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# without restriction, including without limitation the rights to copy, create
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# derivative works of, display, perform, and distribute the Software and make,
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# use, sell, offer for sale, import, export, have made, and have sold the
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# Software and the Larger Work(s), and to sublicense the foregoing rights on
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# either these or other terms.
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#
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# This license is subject to the following condition:
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#
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# The above copyright notice and either this complete permission notice or at a
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# minimum a reference to the UPL must be included in all copies or substantial
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# portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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import time
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# follows the distribution of dict sizes in import-a-lot benchmark
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#
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# OQL query:
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# var objs = toArray(heap.objects("com.oracle.graal.python.builtins.objects.common.ObjectHashMap", false));
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# var counts = {};
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# for each (var m in objs) {
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# var s = m.size;
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# counts[s] = counts[s] == null ? 1 : counts[s] + 1;
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# }
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# map(sort(unique(map(objs, "it.size")), "lhs - rhs"),
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# function (s) { return { size: s, count: counts[s] }; })
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FACTOR = 500
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N = 256 + 8
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keys = [str(i) for i in range(N)]
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small_dicts0 = [{} for i in range(22 * FACTOR)]
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small_dicts1 = [{1:1} for i in range(215 * FACTOR)]
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small_dicts2 = [{1:1, 2:3} for i in range(220 * FACTOR)]
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small_dicts4 = [{keys[k % N]:1 for k in range(4)} for i in range(145 * FACTOR)]
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small_dicts8 = [{keys[k % N]:1 for k in range(8)} for i in range(51 * FACTOR)]
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dicts1 = [{(keys[k % N]):1 for k in range(8 + i % 256)} for i in range(61 * FACTOR)]
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# Sleep a bit to shake out weakref callbacks and get more measurement samples
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for i in range(30):
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time.sleep(0.1)

mx.graalpython/mx_graalpython_bench_param.py

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"post-startup": [],
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"import-a-lot": [],
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"allocate-objects": [],
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"allocate-dicts": [],
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}],
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"micro-small-heap": [PATH_MICRO, MICRO_BENCHMARKS_SMALL],
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}

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