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Renamed edm::Selections to edm::SelectedProducts #607

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merged 1 commit into from Aug 27, 2013

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Dr15Jones
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We early had a name conflict between ::Selections and edm::Selections.
To avoid such a problem in the future, I've renamed edm::Selections to
edm::SelectedProducts to better describes its purpose.

We early had a name conflict between ::Selections and edm::Selections.
To avoid such a problem in the future, I've renamed edm::Selections to
edm::SelectedProducts to better describes its purpose.
@Dr15Jones
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+1

LXR showed that these were the only places where edm::Selections and edm::SelectionsArray were used.

@cmsbuild
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A new Pull Request was created by @Dr15Jones (Chris Jones) for CMSSW_7_0_X.

Renamed edm::Selections to edm::SelectedProducts

It involves the following packages:

DataFormats/Provenance
CalibTracker/SiStripCommon
IOPool/Output
FWCore/Framework
IOPool/Streamer

@demattia, @rcastello can you please review it and eventually sign? Thanks.
You can sign-off by replying to this message having '+1' in the first line of your reply.
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@ktf
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ktf commented Aug 26, 2013

@demattia
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+1

@cmsbuild
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This pull request is fully signed and it will be integrated in one of the next IBs unless changes or unless it breaks tests.

ktf added a commit that referenced this pull request Aug 27, 2013
Renamed edm::Selections to edm::SelectedProducts
@ktf ktf merged commit 1f25c4b into cms-sw:CMSSW_7_0_X Aug 27, 2013
cmsbuild pushed a commit that referenced this pull request Mar 3, 2021
The CUDAService already checks for the availability of a suitable GPU at job startup,
so there is no need to explicitly disable it in the python configuration.

This fixes the case where the configuration is expanded or pickled on a machine
without GPUs, and then run on a machine with a GPU: in this case the CUDAService
gets incorrectly disabled, breaking the configuration itself.
fwyzard added a commit to fwyzard/cmssw that referenced this pull request Mar 7, 2021
The CUDAService already checks for the availability of a suitable GPU at job startup,
so there is no need to explicitly disable it in the python configuration.

This fixes the case where the configuration is expanded or pickled on a machine
without GPUs, and then run on a machine with a GPU: in this case the CUDAService
gets incorrectly disabled, breaking the configuration itself.
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4 participants