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Put tensor modules of FiniteRankFreeModule in Modules().TensorProducts() #34448
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Last 10 new commits:
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Commit: |
Author: Matthias Koeppe |
Branch pushed to git repo; I updated commit sha1. New commits:
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Branch pushed to git repo; I updated commit sha1. Last 10 new commits:
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Branch pushed to git repo; I updated commit sha1. New commits:
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This comment has been minimized.
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Branch pushed to git repo; I updated commit sha1. New commits:
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Branch pushed to git repo; I updated commit sha1. New commits:
|
Branch pushed to git repo; I updated commit sha1. New commits:
|
Branch pushed to git repo; I updated commit sha1. New commits:
|
Branch pushed to git repo; I updated commit sha1. New commits:
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Branch pushed to git repo; I updated commit sha1. New commits:
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Branch pushed to git repo; I updated commit sha1. New commits:
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comment:22
LGTM for the part in - def tensor(self, tensor_type, name=None, latex_name=None, sym=None,
+ def _tensor(self, tensor_type, name=None, latex_name=None, sym=None, and + tensor = FiniteRankFreeModule.tensor Now, instances of
but I understand that bringing tensor modules on |
comment:23
Replying to Eric Gourgoulhon:
The next step in this direction is #34589 |
Branch pushed to git repo; I updated commit sha1. New commits:
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comment:25
Replying to Eric Gourgoulhon:
Thanks for catching this. I've reverted this change. |
comment:26
Thanks! |
Reviewer: Eric Gourgoulhon |
comment:27
Thank you! |
Changed branch from u/mkoeppe/put_tensor_modules_of_finiterankfreemodule_in_modules___tensorproducts__ to |
... and add the method
tensor_factors
(#34393)also add construction functors for tensor modules, extending #30235.
Depends on #34424
Depends on #34393
Depends on #31276
Depends on #30235
Depends on #30229
Depends on #30241
Depends on #34501
CC: @tscrim @egourgoulhon @fchapoton
Component: categories
Author: Matthias Koeppe
Branch/Commit:
e10f9cf
Reviewer: Eric Gourgoulhon
Issue created by migration from https://trac.sagemath.org/ticket/34448
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