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Repeated runs of `pipenv lock` causes `markers` values to flip #6217

Closed Kukanani closed 3 weeks ago

Kukanani commented 3 months ago

Issue description

This appears to be a re-occurrence of https://github.com/pypa/pipenv/issues/4660.

With certain sets of listed packages, the markers for numpy change back and forth on repeated runs of pipenv lock.

In our workflow, this issue caused problems when attempting to verify whether or not pipenv lock was run recently and seeing "different behavior on different machines", where the "different behavior" was just running pipenv lock a second time and seeing different output.

Expected result

Running pipenv lock a second time immediately should not make any additional changes to Pipfile.lock.

Actual result

some lines in Pipfile.lock flip between

            "markers": "python_version >= '3.8'",

and

            "markers": "python_version < '3.10'",

with each successive pipenv lock. 3.7 is also sometimes seen.

Steps to replicate

Using this Pipfile:

[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[packages]
plotly = "~=5.23"
pandas = "~=2.0"
opencv-python = "~=4.10.0"
scipy = "~=1.10"
matplotlib = "~=3.7"

[requires]
python_version = "3.8"
pipenv lock
cp Pipfile.lock Pipfile.lock.first
pipenv lock
diff Pipfile.lock Pipfile.lock.first    # I would expect no output

Please run $ pipenv --support, and paste the results here. Don't put backticks (`) around it! The output already contains Markdown formatting.

$ pipenv --support Pipenv version: `'2024.0.1'` Pipenv location: Python location: `'/usr/bin/python'` OS Name: `'posix'` User pip version: `'24.0'` user Python installations found: PEP 508 Information: ``` {'implementation_name': 'cpython', 'implementation_version': '3.8.10', 'os_name': 'posix', 'platform_machine': 'x86_64', 'platform_python_implementation': 'CPython', 'platform_release': '5.15.0-117-generic', 'platform_system': 'Linux', 'platform_version': '#127~20.04.1-Ubuntu SMP Thu Jul 11 15:36:12 UTC 2024', 'python_full_version': '3.8.10', 'python_version': '3.8', 'sys_platform': 'linux'} ``` System environment variables: --------------------------- Contents of `Pipfile` (): ```toml [[source]] url = "https://pypi.org/simple" verify_ssl = true name = "pypi" [packages] plotly = "~=5.23" pandas = "~=2.0" opencv-python = "~=4.10.0" scipy = "~=1.10" matplotlib = "~=3.7" [requires] python_version = "3.8" ``` Contents of `Pipfile.lock` (): ```json { "_meta": { "hash": { "sha256": "941b39d2d866d938a8b1f4ba20b255044abef141016c2c2877f9b80a967beb94" }, "pipfile-spec": 6, "requires": { "python_version": "3.8" }, "sources": [ { "name": "pypi", "url": "https://pypi.org/simple", "verify_ssl": true } ] }, "default": { "contourpy": { "hashes": [ "sha256:059c3d2a94b930f4dafe8105bcdc1b21de99b30b51b5bce74c753686de858cb6", "sha256:0683e1ae20dc038075d92e0e0148f09ffcefab120e57f6b4c9c0f477ec171f33", "sha256:07d6f11dfaf80a84c97f1a5ba50d129d9303c5b4206f776e94037332e298dda8", "sha256:081f3c0880712e40effc5f4c3b08feca6d064cb8cfbb372ca548105b86fd6c3d", "sha256:0e48694d6a9c5a26ee85b10130c77a011a4fedf50a7279fa0bdaf44bafb4299d", "sha256:11b836b7dbfb74e049c302bbf74b4b8f6cb9d0b6ca1bf86cfa8ba144aedadd9c", "sha256:19557fa407e70f20bfaba7d55b4d97b14f9480856c4fb65812e8a05fe1c6f9bf", "sha256:229a25f68046c5cf8067d6d6351c8b99e40da11b04d8416bf8d2b1d75922521e", "sha256:24216552104ae8f3b34120ef84825400b16eb6133af2e27a190fdc13529f023e", 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