optimize complexity of filter out unwanted recognizers from O(n*m ) to O(n)

[rgupta2508]

Change Description

Code refactor.

Improve complexity of filter out unwanted recognizers from O(n*m )to O(n)

In current code for loop is running inside for loop that makes complexity to O(n*m). after this change there is only one loop by using one extra variable.
where
m = total number of all_possible_recognizers
n= total supported entities which we want to include .

Describe your changes

Issue reference

This PR fixes issue #XX

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[rgupta2508]

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[omri374]

/azp run

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Azure Pipelines successfully started running 1 pipeline(s).

[Copilot]

Copilot reviewed 1 out of 1 changed files in this pull request and generated 1 comment.

[omri374]

Hi, thanks for creating this PR! Assuming it is possible for multiple recognizers to support the same entity, how to this mapping look like?

[rgupta2508]

Hi, thanks for creating this PR! Assuming it is possible for multiple recognizers to support the same entity, how to this mapping look like?

Ok, Is this really possible ? I was thinking always it is unique for recognizers, didn't seen any same entity on multiple recognizers in current code.

I have updated code now, converted entity to set. don't even need extra space for dictionaries.

m= number of entity
n= Number of recognizers
o = total number of entity supported in each recognizers

how it looks like?

Copilot reviewed 1 out of 1 changed files in this pull request and generated no comments.

[omri374]

/azp run

[azure-pipelines]

Azure Pipelines successfully started running 1 pipeline(s).

[omri374]

entity is later used. How about:

Suggested change

	entities = set(entities)
	entities = set(entities)
	for entity in entities:

[SharonHart]

/azp run

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Azure Pipelines successfully started running 1 pipeline(s).