Closed Hannibalcarthaga closed 3 years ago
Merging #590 (6c872df) into master (6b7b5c5) will decrease coverage by
0.04%
. The diff coverage is33.33%
.:exclamation: Current head 6c872df differs from pull request most recent head f47203a. Consider uploading reports for the commit f47203a to get more accurate results
@@ Coverage Diff @@ ## master #590 +/- ## ========================================== - Coverage 98.44% 98.40% -0.05% ========================================== Files 76 76 Lines 8752 8758 +6 ========================================== + Hits 8616 8618 +2 - Misses 136 140 +4
Impacted Files | Coverage Δ | |
---|---|---|
...rawberryfields/backends/gaussianbackend/backend.py | 95.52% <33.33%> (-2.92%) |
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Hi @Hannibalcarthaga : as a first suggestion, I'd like to ask you to start looking into the CodeFactor issues reported by the first bot.
Hi, @nquesada I have tried to resolve most of the errors from the CodeFactor issues, but some still remain, could you suggest how to resolve them?
Hi, @nquesada I have imported the functions and committed those changes, but CodeFactor issues are mostly about these Unused imports
. Another thing that I am confused about is that 2 errors are undefined variables hbar and det_pattern
. Should I add sf.hbar
, and the det_pattern
definition from thewalrus
documentation? Lastly, in the add_mode
does the number of modes needs to be changed from n=1
to n>1
?
Hi @Hannibalcarthaga ---- I am trying to understand what your PR achieves. Where have you added the functionality that allows to support for threshold detection of Gaussian states with displacement.
Hi @Hannibalcarthaga ---- I am trying to understand what your PR achieves. Where have you added the functionality that allows to support for threshold detection of Gaussian states with displacement.
@nquesada I could only add the return
command replacing the not implemented error
in measure_threshold
. Will the functionality be similar to those of hafnian_sample_state
and torontonian_sample_state
that defines the arguments in the brackets, except in this case for threshold_detection_prob_displacement
? Sorry, I am asking many questions, this is my first time contributing on an open source issue and I am not sure how to proceed further.
Hi @Hannibalcarthaga,
Sorry, I am asking many questions, this is my first time contributing on an open source issue and I am not sure how to proceed further.
No worries at all! This is quite a challenging PR to be working on for a first time contribution (and we recognized that on our side as well; it was even tagged for a 'bounty' during UnitaryHACK, which recently concluded last week). So huge props for attempting it!
For a first time contribution, however, I recommend perhaps looking over at the https://github.com/pennylaneai/pennylane repository, in particular, the issues we have labelled as good first issue?
Hey @Hannibalcarthaga and the PennyLane team! I wanted to let folks know I am extending the unitaryHACK deadline till the end of this week for PRs that were already in progress to give some time to iterate with maintainers. Let me know if you have questions, or if I can be of help in getting this issue closed!
Hi @nquesada, I have added some small changes regarding the functionality to the backend.py
file and made a new commit. May I ask you to check if they are correct or suggest any changes? Thanks.
Hi @Hannibalcarthaga --- I am having a lot of trouble reviewing your PR. In particular the diff
in backend.py
makes it look as if you had written from scratch that file, which I am sure is not the case. Without being able to see clearly what your additions were I cannot review it.
Hi @Hannibalcarthaga, as @nquesada mentioned above, it is difficult for us to see the changes you made without parsing manually through a 400-line file.
In order to use the nice features of git/github, you'll need to update the file located at strawberryfields/strawberryfields/backends/gaussianbackend/backend.py
and check your changes into version control and push here (rather than adding a copy of the file at the base directory, which is what it seems you have done). Then GitHub will be able to show us the actual changes you've made and remove a barrier that is presently preventing us from proper review
Hey @nquesada, sorry for the inconvenience caused. I had some trouble with Git Credential Manager
and couldn't push the changes from local repository. As @co9olguy mentioned I made the commits from GitHub website via file upload
which I think caused the large diff
. I have resolved those git
issues and pushed a new commit Add functions
. With this commit two files got automatically uploaded that shouldn't have, but I will resolve that as soon as possible. I am sorry for the inconvenience. Please suggest any changes.
Hi @Hannibalcarthaga, I've taken the liberty of deleting those extraneous files from the PR. You'll need to pull and merge these changes into your local branch.
Hi @Hannibalcarthaga, I've taken the liberty of deleting those extraneous files from the PR. You'll need to pull and merge these changes into your local branch.
Thanks a lot. :innocent:
Hey @co9olguy can I request a review on the recent commit created a test
? I have made a test with the assert
statement as per your suggestion. Thank you :innocent:
Hi @Hannibalcarthaga, sorry for delayed response, I was on vacation and getting caught up now.
I regret that I have to share the following decision: after consulting with the team, we don't believe that this PR is on a path to successful acceptance without requiring significant additional guidance from the developers (which regretably, we will not be able to commit to, so long after unitaryHACK)
I do want to think you for your interest in our software and your work so far to attempt this PR :muscle:. If you remain interested in the library, there might be some more beginner-friendly contributions in the future that could be better "good first issues" to tackle :slightly_smiling_face:
Hi @Hannibalcarthaga, sorry for delayed response, I was on vacation and getting caught up now.
I regret that I have to share the following decision: after consulting with the team, we don't believe that this PR is on a path to successful acceptance without requiring significant additional guidance from the developers (which regretably, we will not be able to commit to, so long after unitaryHACK)
I do want to think you for your interest in our software and your work so far to attempt this PR . If you remain interested in the library, there might be some more beginner-friendly contributions in the future that could be better "good first issues" to tackle
Hey @co9olguy, you and others of the Xanadu team have helped me a lot during the past two months to tackle this PR and I am grateful for it. I want to thank you for giving me this opportunity and next time I will be sure to select a good first issue. Thank you. :innocent:
Thanks @Hannibalcarthaga! :slightly_smiling_face: I hope you were able to learn some valuable new skills in the process, even if the PR attempt wasn't successful
These are the preliminary files for the Issue #572 [unitaryhack].
Before submitting
Please complete the following checklist when submitting a PR:
[x] All new features must include a unit test. If you've fixed a bug or added code that should be tested, add a test to the test directory!
[ ] All new functions and code must be clearly commented and documented. If you do make documentation changes, make sure that the docs build and render correctly by running
make docs
.[x] Ensure that the test suite passes, by running
make test
.[x] Ensure that code is properly formatted, by running
make format
orblack -l 100 strawberryfields
. You will need to have the Black code format installed:pip install black
.[ ] Add a new entry to the
.github/CHANGELOG.md
file, summarizing the change, and including a link back to the PR.[x] The Strawberry Fields source code conforms to PEP8 standards. We check all of our code against Pylint. To lint modified files, simply
pip install pylint
, and then runpylint strawberryfields/path/to/file.py
.When all the above are checked, delete everything above the dashed line and fill in the pull request template.
Context: Issue #572 [unitaryhack]
Description of the Change: Added threshold_detection_prob_displacement function.
Benefits:
Possible Drawbacks:
Related GitHub Issues: Errors when running pylint test.