Multiple constraints on same package cause O(exp(N)) checks #5121
Comments
buriy
added
kind/bug
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Just an explanation what's happing: The overrides originate from multiple constraint dependencies. In your example, there are three packages with multiple constraint dependencies: pandas with 4 constraints for numpy opencv-python with 7 constraints for numpy These 7 constraints result in 4 actual constraints because the first one can be ignored if the python constraint of the project is black with 2 constraints for typing-extensions Thus, the complete number of combinations is |
So I'm asking not "what happens" but "why should you check all 52 options" and "why do you need to check each one for that long time"? |
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I have no idea about the internals of the dependency resolver, so I cannot contribute to this discussion a lot. But:
Poetry is looking for a solution that is valid for the complete range of python version the projects aims to be compatible to. It doesn't care about the current Python version in use. This is different to e.g. |
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@finswimmer thanks. |
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hi @buriy et al :) I hope i soon find the time
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@kazesberger and everyone, let's start with suggesting a better example -- which is rather short but takes for example an hour to resolve. 10 seconds to resolve won't attract enough attention. One hour should do. And it's fun. It doesn't matter whether poetry considers a subset of markers, and it doesn't even matter whether it is consistent or not. |
I'd really be curious what you think about my workaround (it's a very small change). please have a look, would really appreciate.
trust me, you're 100% wrong here ;-) it does make a huge difference. like multiple hours down to <10mins for however my workaround represents a shortcut that will not suit every1. if you're collaborating with ppl on verious different devices with different architecture/os/whatever the lockfile is basically useless and needs to be regenerated by that/every user/dev. |
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My team has this problem also, and it's hurting us a lot. In my case, each "retry" does take about 20sec, and it explores more than 64 retries for one of our simple packages. I would love a hammer that allowed me to force a specific architecture and python version, since I'm deploying in a narrow environment. I'd also like to understand a bit better what's going on. Many of the overrides it's using seem to be redundant, exploring say numpy (>=1.18.5), numpy (>=1.19.2) and numpy (>=1.21.0) in a single override. Why does it do that? And, I have specified a specific version of numpy at my application level (1.19.1), so why doesn't it simply trust that specification? Indeed, that's the version it chooses after ~1hr of resolution anyway, so I'm puzzled why it works so hard at it. Here's a snippet of output, showing that it's exploring each of 4 numpy bounds for each of three different pandas versions. This one ran through 64 retries before I Ctrl-C'd it. Another attempt went through 93 overrides and succeeded; that try had some slightly different set of numpy versions it was considering, because of some tweak in pyproject.toml. EDIT: In the above I didn't realize that I could pin the python version; doing so allowed me to eliminate one of the numpy versions, bringing the number of overrides down a lot. The remaining overrides are based on machine architecture, and I don't know how to control that parameter. |
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I ran into the same issue. Newer versions of numpy and pandas seem to be the primary cause. In my current project the dependency resolution suddenly takes over an hour. With every new release of these librariers there is a new version to consider. If I look at the runtime of my github actions of this project (https://github.com/mad-lab-fau/imucal/actions/workflows/test-and-lint.yml) you can see an increase in CI runtime from 4 min (last October) to over an hour (last week). I made no relevant changes that would explain this increase in runtime and this also matches my experience with other projects. What works at the moment, is to change the minimal supported version of the library to 3.8. That drops the dependency resolution down to 4 minutes again. But this is not really an option... EDIT: Just for further context: I was able to reduce the required time by chooseing Python >=3.7.1,<3.11 instead of ^3.7. But still Poetry tries 340 overrides. |
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@AKuederle Thanks for this... almost had a brain aneurysm |
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Alternative fix... keep Python to ^3.7... and set pandas to ~1.3 Versions of Pandas of 1.4 onwards don't support Python 3.7... and lead you into the poetry dependency resolution black hole where time ends and nothing makes sense anymore. For I got lost in the depths of the abyss and emerged to tell the tale... shall these words spread, inform and aid other unsuspecting travellers. The abyss is there. Shrouded. Waiting for its next victim. |
Avoid long dependency resolution python-poetry/poetry#5121 (comment)
Locking took THREE HOURS due to the numpy/pandas pit of doom: python-poetry/poetry#5121
More absurdity from python-poetry/poetry#5121. If I remove the `coiled` dependency, locking takes ~1min.
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@jamespacileo we were dealing with hours-long lock times as well, and replacing the requirement of |
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@jamespacileo thank you for the ladder bro, the abyss almost got me. For anyone who is experiencing a bunch overrides due to pandas/numpy, I locked my dependencies like so: As my project requires python 3.7. Narrowing the range of acceptable python versions should alleviate this problem for most people. |
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Hi all, just to share I seem to have found a way out of this abyss that allows supporting multiple Python versions from 3.7 to 3.9 at least. In pyproject.toml I have: This also only seems to work with poetry 1.2.0b3, not poetry 1.1 (which seems to omit including hashes for alternate pandas versions in the lock file). |
PDM is capable of locking in a few mins what Poetry seems to take 10s of mins (hours?) to solve with the numpy-pandas black hole: python-poetry/poetry#5121 It also supports overriding dependencies, which Poetry refuses and is critical in basic development (especially if working with a fork of distributed). TODO: update docs, binder, etc. to use PDM. Figure out CI. Al that. This is just an experiment.
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for some reason I was reminded of this one... The original report didnt provide the things the issue template asked for, and of course lots of new versions of the mentioned packages have been published since then. So it is hard to compare apples with apples. poetry 1.1.12 was the latest release at the time, that much I am sure of. Anyway as of today if we use these dependencies: [tool.poetry.dependencies]
python = "^3.10"
numpy = "^1.26.3"
ipython = "^8.21.0"
jupyter = "^1.0.0"
opencv-python = "^4.9.0.80"
notebook = "^7.0.7"
pandas = "^2.2.0"
django = "~3.2"as the best contemporary approximation of what is reported, then I see the following times for
which probably shows both that the ecosystem today is easier to solve, and also that there are several ways in which poetry has gotten faster over the last couple of years more generally I think that #5121 (comment) was right: the only useful actionable suggestion that I find in the discussion is that some folk would like the ability to solve for a narrowed environment, and so far as that goes this issue just duplicates others. |
Runs very long dependency resolution.
Problem is that it does a lot of override attempts (why?).
0: Retrying dependency resolution with the following overrides ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}).including weird ones like
0: Retrying dependency resolution with the following overrides ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}}).52 override checks for this case, so, if you now have several additional slow loading packages, e.g. each override checking would take 20 seconds, you'll get 20 * 52 = 520 seconds to install.
0: Complete version solving took 13.010 seconds with 52 overrides0: Resolved with overrides: ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (>=3.10.0.0)>}}), ({Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.21.0)>}, Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('black', '21.12b0'): {'typing-extensions': <Dependency typing-extensions (!=3.10.0.1)>}})In more complicated cases it will be:
0: Duplicate dependencies for numpy 0: Different requirements found for numpy (>=1.18.5) with markers platform_machine != "aarch64" and platform_machine != "arm64" and python_version < "3.10", numpy (>=1.19.2) with markers platform_machine == "aarch64" and python_version < "3.10" and numpy (>=1.20.0) with markers platform_machine == "arm64" and python_version < "3.10".and
0: Complete version solving took 115.009 seconds with 16 overrides 0: Resolved with overrides: ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.21.2)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.19.3)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.14.5)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.18.5)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.19.2)>}}), ({Package('opencv-python', '4.5.5.62'): {'numpy': <Dependency numpy (>=1.17.3)>}, Package('pandas', '1.4.0'): {'numpy': <Dependency numpy (>=1.20.0)>}})The text was updated successfully, but these errors were encountered: