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Is there a tidy way of associating metadata with functions in C++


Is there a tidy way of associating metadata with functions in C++

By : Tyron-Lee
Date : November 28 2020, 01:01 AM
I wish this helpful for you You can do that with a template specialized by an address of a function:
code :


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Storing Documents and associating Metadata

Storing Documents and associating Metadata


By : Burak Serpici
Date : March 29 2020, 07:55 AM
To fix the issue you can do Your approach sounds just fine to me. Just store the folder and filename as one of the columns values and all the other metadata in other columns.
Do you have any concerns about this approach? Or perhaps a specific part of this approach that you're not sure of how to implement?
Associating strings as metadata with controls

Associating strings as metadata with controls


By : Luis Noe Jasso
Date : March 29 2020, 07:55 AM
Associating text strings with functions

Associating text strings with functions


By : user7737109
Date : March 29 2020, 07:55 AM
Hope this helps Here's my solution, which requires a test run to compute the const values before it is functional. That's awkward, do you have a more graceful solution? I was thinking I'd avoid calling 100 string comparisons doing it this way. , Why not
code :
 std::map<std::string, std::function<here goes what the return types etc are>> dispatch;

Then

 dispatch["a string"](args);
rails-api: associating metadata from a second join table

rails-api: associating metadata from a second join table


By : Amra96
Date : March 29 2020, 07:55 AM
Any of those help On the Skill serializer, perhaps, add a method that figures whether the user has that skill or not. Assuming that if user.skills contain skills they've learned:
code :
class SkillSerializer < ActiveModel::Serializer

  attributes :earned, # :id, :name, etc

  def earned
    scope.skills.include? object  
  end
end
Associating metadata with filename_queue in TensorFlow

Associating metadata with filename_queue in TensorFlow


By : Moshir Ghanem
Date : March 29 2020, 07:55 AM
seems to work fine In general, this can be tricky to achieve with the current TensorFlow pipelines, but fortunately the tf.WholeFileReader makes it straightforward: the key tensor (returned by tf.WholeFileReader.read()) contains the filename of the file whose data is stored in the image_file tensor. You can simply use key wherever you want to access the filename.
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