Construct NumpyArrayConstruction

Kay Hayen — Wed, 29 Jul 2026 18:06:30 GMT

Performance Diagrams

Source Code with Construct    return x


for x in itertools.repeat(None, 20000):
    calledRepeatedly()

print("OK.")

#     Python test originally created or extracted from other peoples work. The
#     parts from me are licensed as below. It is at least Free Software where
#     it's copied from other people. In these cases, that will normally be
#     indicated.
#
#     Licensed under the Apache License, Version 2.0 (the "License");
#     you may not use this file except in compliance with the License.
#     You may obtain a copy of the License at
#
#         http://www.apache.org/licenses/LICENSE-2.0
#
#     Unless required by applicable law or agreed to in writing, software
#     distributed under the License is distributed on an "AS IS" BASIS,
#     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#     See the License for the specific language governing permissions and
#     limitations under the License.

Source Code without Construct    x = numpy.array, numpy.int32
    # construct_end

    return x


for x in itertools.repeat(None, 20000):
    calledRepeatedly()

print("OK.")

#     Python test originally created or extracted from other peoples work. The
#     parts from me are licensed as below. It is at least Free Software where
#     it's copied from other people. In these cases, that will normally be
#     indicated.
#
#     Licensed under the Apache License, Version 2.0 (the "License");
#     you may not use this file except in compliance with the License.
#     You may obtain a copy of the License at
#
#         http://www.apache.org/licenses/LICENSE-2.0
#
#     Unless required by applicable law or agreed to in writing, software
#     distributed under the License is distributed on an "AS IS" BASIS,
#     WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#     See the License for the specific language governing permissions and
#     limitations under the License.

Nuitka Speedcenter (Posts about 27_factory_down_vs_develop)

Construct NumpyArrayConstruction

Performance Diagrams

Source Code with Construct

Source Code without Construct