pqc | PostgreSQL Query Cache | Database library

by snaga C Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | pqc Summary

pqc is a C library typically used in Database, PostgresSQL applications. pqc has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

PostgreSQL Query Cache

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Support

pqc has a low active ecosystem.

It has 21 star(s) with 12 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pqc is current.

Quality

pqc has 0 bugs and 0 code smells.

Security

pqc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pqc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pqc does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

pqc releases are not available. You will need to build from source code and install.

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pqc Key Features

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pqc Examples and Code Snippets

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Community Discussions

Trending Discussions on pqc

Numpy's where function and length error message

How can I train a TensorFlow Quantum model that outputs a state vector?

Excluding unit tests from external library

QUESTION

Numpy's where function and length error message

Asked 2022-Mar-14 at 13:32

I have a spreadsheet that I am trying to correct. On the Billing Categorization, it should be filled with 'Standard' or 'Non Standard' as applies.

I am trying to use the where function from numpy to do this:

...

ANSWER

Answered 2022-Mar-14 at 13:23

IIUC chain masks by &:

Source https://stackoverflow.com/questions/71468468

QUESTION

How can I train a TensorFlow Quantum model that outputs a state vector?

Asked 2020-Aug-05 at 16:00

I want to train a simple circuit in TFQ using a Sequential model as follows:

...

ANSWER

Answered 2020-Aug-05 at 16:00

can I force the PQC layer to output the state vector instead of performing a readout operation?

The PQC layer will create and manage tf.Variables for you. From there it will send your circuits through a tfq.layers.Expectation layer. Unfortunately there is no way to produce a full state vector from this layer.

can I use the State layer as a parameterized layer in a Sequential model (or train it in any other way?)

Yes, you can incorporate the state vector of input circuits into your model with the tfq.layers.State layer (https://www.tensorflow.org/quantum/api_docs/python/tfq/layers/State). Note that the produced state vector will NOT be differentiable. When creating TFQ we wanted to encourage users doing any complex modelling to try and make use of functionality that would have a 1:1 translation between a real chip and simulation (i.e. It is very easy to deploy tfq.layers.Expectation logic onto a true chip since we aren't breaking any rules, but with tfq.layers.State we are cheating and pulling out the full state vector).

Source https://stackoverflow.com/questions/63155929

QUESTION

Excluding unit tests from external library

Asked 2020-Feb-20 at 16:41

I newly replaced spongyCastle by bouncyCastle in an Android project:

...

ANSWER

Answered 2020-Feb-20 at 16:41

To exclude any unit test following can be used in build.gradle:

Source https://stackoverflow.com/questions/60284462

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pqc

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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