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#1 Conflict Project : OpenPointCloud-OctAttention_yh-2022-05-17

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created 1 year ago by watchman · 1 comments
watchman commented 1 year ago

Hi, users are unable to run OpenPointCloud-OctAttention_yh-2022-05-17 due to dependency conflict with numpy package.

As shown in the full dependency graph of OpenPointCloud-OctAttention_yh-2022-05-17, OpenPointCloud-OctAttention_yh-2022-05-17(at level 0) requires numpy (==1.18.4), while hdf5storage(at level 1) requires numpy (<1.12.0).

According to pip’s "first found wins" installation strategy, numpy==1.18.4 is the actually installed version. However, numpy==1.18.4 does not satisfy numpy (<1.12.0).

Dependency tree-------


OpenPointCloud-OctAttention_yh-2022-05-17
| +-&h5py!version range:==2.10.0!install version:2.10.0!file id:179349!
| | +-&numpy!version range:>=1.7!install version:1.18.4!requirement id:5086013!
| | | +-&jinja2!version range:>=2.3!install version:3.1.2!requirement id:2039037!
| | | +-&sphinx!version range:>=1.2.3!install version:5.0.0b1!requirement id:2039042!
| | +-&six!version range:*!install version:1.16.0!requirement id:5086014!
| +-&hdf5storage!version range:==0.1.18!install version:0.1.18!file id:180712!
| | +-&h5py!version range:>=2.1!install version:2.10.0!requirement id:7857692!
| | | +-&numpy!version range:>=1.7!install version:1.18.4!requirement id:5086013!
| | | +-&six!version range:*!install version:1.16.0!requirement id:5086014!
| | +-&numpy!version range:<1.12.0!install version:1.12.0rc2!requirement id:7857693!
| | | +-&sphinx!version range:>=1.0.1!install version:5.0.0b1!requirement id:2038141!
| +-&numpy!version range:==1.18.4!install version:1.18.4!file id:211277!
| | +-&jinja2!version range:>=2.3!install version:3.1.2!requirement id:2039037!
| | | +-&markupsafe!version range:>=2.0!install version:2.1.1!requirement id:13372610!
| | +-&sphinx!version range:>=1.2.3!install version:5.0.0b1!requirement id:2039042!
| +-&pandas!version range:==1.0.4!install version:1.0.4!file id:63905!
| | +-&numpy!version range:>=1.13.3!install version:1.18.4!requirement id:2302375!
| | | +-&jinja2!version range:>=2.3!install version:3.1.2!requirement id:2039037!
| | | +-&sphinx!version range:>=1.2.3!install version:5.0.0b1!requirement id:2039042!
| | +-&python-dateutil!version range:>=2.6.1!install version:2.8.2!requirement id:2302385!
| | | +-&six!version range:>=1.5!install version:1.16.0!requirement id:11782277!
| | +-&pytz!version range:>=2017.2!install version:2022.1!requirement id:2302393!
| +-&pillow!version range:==9.1.0!install version:9.1.0!file id:67948!
| +-&plyfile!version range:==0.7.4!install version:0.7.4!file id:70522!
| | +-&numpy!version range:>=1.8!install version:1.18.4!requirement id:11238382!
| | | +-&jinja2!version range:>=2.3!install version:3.1.2!requirement id:2039037!
| | | +-&sphinx!version range:>=1.2.3!install version:5.0.0b1!requirement id:2039042!
| +-&tensorflow-gpu!version range:==2.3.1!install version:2.3.1!file id:263454!
| +-&tqdm!version range:==4.48.0!install version:4.48.0!file id:104519!

Suggested solutions

1.Change your direct dependency numpy [==1.18.4] to be numpy [<=1.12.0rc2].
2.Remove your direct dependency numpy [==1.18.4], and use numpy transitively introduced by hdf5storage.
3.Upgrade or downgrade your direct dependency hdf5storage to transitively introduce a compatible version of numpy.

Hi, users are unable to run _**OpenPointCloud-OctAttention_yh-2022-05-17**_ due to dependency conflict with _**numpy**_ package. As shown in the full dependency graph of **OpenPointCloud-OctAttention_yh-2022-05-17**, **OpenPointCloud-OctAttention_yh-2022-05-17(at level 0)** requires **numpy** (==1.18.4), while **hdf5storage(at level 1)** requires **numpy** (<1.12.0). According to pip’s "first found wins" installation strategy, **numpy==1.18.4** is the actually installed version. However, **numpy==1.18.4** does not satisfy **numpy** (<1.12.0). ### Dependency tree------- ``` OpenPointCloud-OctAttention_yh-2022-05-17 | +-&h5py!version range:==2.10.0!install version:2.10.0!file id:179349! | | +-&numpy!version range:>=1.7!install version:1.18.4!requirement id:5086013! | | | +-&jinja2!version range:>=2.3!install version:3.1.2!requirement id:2039037! | | | +-&sphinx!version range:>=1.2.3!install version:5.0.0b1!requirement id:2039042! | | +-&six!version range:*!install version:1.16.0!requirement id:5086014! | +-&hdf5storage!version range:==0.1.18!install version:0.1.18!file id:180712! | | +-&h5py!version range:>=2.1!install version:2.10.0!requirement id:7857692! | | | +-&numpy!version range:>=1.7!install version:1.18.4!requirement id:5086013! | | | +-&six!version range:*!install version:1.16.0!requirement id:5086014! | | +-&numpy!version range:<1.12.0!install version:1.12.0rc2!requirement id:7857693! | | | +-&sphinx!version range:>=1.0.1!install version:5.0.0b1!requirement id:2038141! | +-&numpy!version range:==1.18.4!install version:1.18.4!file id:211277! | | +-&jinja2!version range:>=2.3!install version:3.1.2!requirement id:2039037! | | | +-&markupsafe!version range:>=2.0!install version:2.1.1!requirement id:13372610! | | +-&sphinx!version range:>=1.2.3!install version:5.0.0b1!requirement id:2039042! | +-&pandas!version range:==1.0.4!install version:1.0.4!file id:63905! | | +-&numpy!version range:>=1.13.3!install version:1.18.4!requirement id:2302375! | | | +-&jinja2!version range:>=2.3!install version:3.1.2!requirement id:2039037! | | | +-&sphinx!version range:>=1.2.3!install version:5.0.0b1!requirement id:2039042! | | +-&python-dateutil!version range:>=2.6.1!install version:2.8.2!requirement id:2302385! | | | +-&six!version range:>=1.5!install version:1.16.0!requirement id:11782277! | | +-&pytz!version range:>=2017.2!install version:2022.1!requirement id:2302393! | +-&pillow!version range:==9.1.0!install version:9.1.0!file id:67948! | +-&plyfile!version range:==0.7.4!install version:0.7.4!file id:70522! | | +-&numpy!version range:>=1.8!install version:1.18.4!requirement id:11238382! | | | +-&jinja2!version range:>=2.3!install version:3.1.2!requirement id:2039037! | | | +-&sphinx!version range:>=1.2.3!install version:5.0.0b1!requirement id:2039042! | +-&tensorflow-gpu!version range:==2.3.1!install version:2.3.1!file id:263454! | +-&tqdm!version range:==4.48.0!install version:4.48.0!file id:104519! ``` ### Suggested solutions 1.Change your direct dependency **numpy [==1.18.4]** to be **numpy [<=1.12.0rc2]**. 2.Remove your direct dependency **numpy [==1.18.4]**, and use **numpy** transitively introduced by **hdf5storage**. 3.Upgrade or downgrade your direct dependency **hdf5storage** to transitively introduce a compatible version of **numpy**.
yehua commented 1 year ago
Owner

Hi~

numpy[==1.18.4] and hdf5storage[0.1.18] work well in my environment, no confliction arises.

If somehow they conflict in your system, you may need to adjust accordingly following the instructions from the pip information.

Thanks for your advice.

Hi~ numpy[==1.18.4] and hdf5storage[0.1.18] work well in my environment, no confliction arises. If somehow they conflict in your system, you may need to adjust accordingly following the instructions from the pip information. Thanks for your advice.
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