`pipenv lock` nondeterminism with environment markers (again)
See original GitHub issueI reported this bug about pipenv behaving non-deterministically a while ago: https://github.com/pypa/pipenv/issues/4967. @matteius and I both thought that it was fixed by upgrading to a vendored pip 22.x, but I just checked, and it looks like the problem is back. Actually, it looks like maybe it never went away!
The setup is the same as before: add gevent
and sqlalchemy
to a Pipfile, and observe that repeated pipenv lock
s result in the different lockfiles.
Proof/demo
pipenv 2022.8.5
$ docker run $(docker build -q --build-arg=PIP_VERSION=22.2.2 --build-arg=PIPENV_VERSION=2022.8.5 https://github.com/jfly/2022-02-22-pipenv-nondeterminism.git#main)
attempt 1: greenlet markers="platform_python_implementation == 'CPython'"
attempt 2: greenlet markers="platform_python_implementation == 'CPython'"
attempt 3: greenlet markers="platform_python_implementation == 'CPython'"
attempt 4: greenlet markers="python_version >= '3' and platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32')))))"
pipenv 2022.7.24
$ docker run $(docker build -q --build-arg=PIP_VERSION=22.2.2 --build-arg=PIPENV_VERSION=2022.7.24 https://github.com/jfly/2022-02-22-pipenv-nondeterminism.git#main)
attempt 1: greenlet markers="platform_python_implementation == 'CPython'"
attempt 2: greenlet markers="python_version >= '3' and platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32')))))"
attempt 3: greenlet markers="platform_python_implementation == 'CPython'"
pipenv 2022.4.21
$ docker run $(docker build -q --build-arg=PIP_VERSION=22.2.2 --build-arg=PIPENV_VERSION=2022.4.21 https://github.com/jfly/2022-02-22-pipenv-nondeterminism.git#main)
attempt 1: greenlet markers="python_version >= '3' and (platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32'))))))"
attempt 2: greenlet markers="python_version >= '3' and platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32')))))"
attempt 3: greenlet markers="python_version >= '3' and platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32')))))"
attempt 4: greenlet markers="platform_python_implementation == 'CPython'"
pipenv 2022.1.8
The version of pipenv that this was originally reported for (https://github.com/pypa/pipenv/issues/4967)
$ docker run $(docker build -q --build-arg=PIP_VERSION=22.2.2 --build-arg=PIPENV_VERSION=2022.1.8 https://github.com/jfly/2022-02-22-pipenv-nondeterminism.git#main)
attempt 1: greenlet markers="python_version >= '3' and (platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32'))))))"
attempt 2: greenlet markers="python_version >= '3' and platform_machine == 'aarch64' or (platform_machine == 'ppc64le' or (platform_machine == 'x86_64' or (platform_machine == 'amd64' or (platform_machine == 'AMD64' or (platform_machine == 'win32' or platform_machine == 'WIN32')))))"
attempt 3: greenlet markers="platform_python_implementation == 'CPython'"
Issue Analytics
- State:
- Created a year ago
- Comments:5 (3 by maintainers)
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Top GitHub Comments
gets fixed by: https://github.com/pypa/pipenv/pull/5279
I think we also need to sort the constraints. @dqkqd care to open a PR?