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* With a bit of guidance, many checks can be avoided, example added speeds up from 137% to 201% with Python3.10 * Add our own "TUPLE_COPY" as well, as that is used in this deep copy.
44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
# Copyright 2022, Kay Hayen, mailto:kay.hayen@gmail.com
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#
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# Python test originally created or extracted from other peoples work. The
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# parts from me are licensed as below. It is at least Free Software where
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# it's copied from other people. In these cases, that will normally be
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# indicated.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from __future__ import print_function
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def compiled_func(some_list):
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return some_list
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def calledRepeatedly():
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compiled_f = compiled_func
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# This is supposed to make a call to a compiled function, which is
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# being optimized separately.
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# construct_begin
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compiled_f(["some", "random", "values", "to", "check", "call"])
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compiled_f([["some", "other", "values"], ["to", "check", "call"]])
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# construct_alternative
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pass
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# construct_end
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return compiled_f
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import itertools
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for x in itertools.repeat(None, 50000):
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calledRepeatedly()
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print("OK.")
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