Open ssyayayy opened 3 years ago
I have worked with one of the team members on a project in the past but I do not have any conflicts of interest.
The package includes all the following forms of documentation:
setup.py
file or elsewhere.Readme requirements The package meets the readme requirements below:
The README should include, from top to bottom:
Reviewers are encouraged to submit suggestions (or pull requests) that will improve the usability of the package as a whole. Package structure should follow general community best-practices. In general please consider:
Note: Be sure to check this carefully, as JOSS's submission requirements and scope differ from pyOpenSci's in terms of what types of packages are accepted.
The package contains a paper.md
matching JOSS's requirements with:
Estimated hours spent reviewing:
Hey Team!
Overall, great job! lots of tests, good documentation and a comprehensive README. I just had a couple of issues getting it to work out of the box but these are pretty quick fixes. I've gone ahead and added some recommended changes to my review comments. The changes requested are all in the README and should be rather simple to incorporate.
I had some issues with the installation:
You might need to include vanilla PyPi as an extra index to be able to install all of your dependencies. Some packages don't seem to publish the same versions to both TestPyPi and PyPi. I suggest editing the install instructions to this:
pip install -i https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple corpysprofiling
Even after I'd done this, I had to update my visual C++ to get the install working. Maybe you could list visual C++ 14.0 as hard dependency?
I tested the functionality and it works as detailed. You might need to update the usage to:
from corpysprofiling import corpysprofiling
and update the functions calls to use corpysprofiling.method_name()
instead of just method_name()
As it stands right now, copy-pasting from the usage section would mean the user would run into errors when running the examples
Good coverage!
You're using try-except
to check for error handling. Maybe consider replacing it with the recommended pytest way
Please check off boxes as applicable, and elaborate in comments below. Your review is not limited to these topics, as described in the reviewer guide
The package includes all the following forms of documentation:
setup.py
file or elsewhere.Readme requirements The package meets the readme requirements below:
The README should include, from top to bottom:
Reviewers are encouraged to submit suggestions (or pull requests) that will improve the usability of the package as a whole. Package structure should follow general community best-practices. In general please consider:
Note: Be sure to check this carefully, as JOSS's submission requirements and scope differ from pyOpenSci's in terms of what types of packages are accepted.
The package contains a paper.md
matching JOSS's requirements with:
Estimated hours spent reviewing: 3 hours
Hi, team,
Good job on this Python Package! This is really useful and clear detailed and organized. There are just a few comments that you might want to consider:
Package name: You use the same package name for R and Python pacakges. I feel it is a bit confusing.
Usage:
As Vignesh mentioned above, the installation of import corpysprofiling
does not work. You might need to update to from corpysprofiling import corpysprofiling
.
Functionality:
I tested function corpus_analysis
and corpus_viz
. They work well. Unfortunately, I got an error message when testing the other functions:
AttributeError: 'Logger' object has no attribute 'getLogger'
Test: There are a lot of test cases, which is great!
Nice work on this project. I enjoyed reviewing it. Let me know if you have any questions about this feedback.
Huanhuan
Submitting Author: Anita Li (@AnitaLi-0371), Elanor Boyle-Stanley (@eboylestanley), Junghoo Kim (@jkim222383), Ivy Zhang (@ssyayayy) Package Name: coRPysprofiling One-Line Description of Package: coRPysprofiling performs EDA and EDV on text Repository Link: https://github.com/UBC-MDS/coRPysprofiling/tree/0.1.6 Version submitted: 0.1.6 Editor: Tiffany Timbers(@ttimbers ) Reviewer 1: TBD
Reviewer 2: TBD
Archive: TBD
Version accepted: TBD
Description
Scope
Please indicate which [category or categories][PackageCategories] this package falls under:
Explain how the and why the package falls under these categories (briefly, 1-2 sentences):
Who is the target audience and what are scientific applications of this package?
Are there other Python packages that accomplish the same thing? If so, how does yours differ?
If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or
@tag
the editor you contacted:Technical checks
For details about the pyOpenSci packaging requirements, see our [packaging guide][PackagingGuide]. Confirm each of the following by checking the box. This package:
Publication options
JOSS Checks
- [ ] The package has an **obvious research application** according to JOSS's definition in their [submission requirements][JossSubmissionRequirements]. Be aware that completing the pyOpenSci review process **does not** guarantee acceptance to JOSS. Be sure to read their submission requirements (linked above) if you are interested in submitting to JOSS. - [ ] The package is not a "minor utility" as defined by JOSS's [submission requirements][JossSubmissionRequirements]: "Minor ‘utility’ packages, including ‘thin’ API clients, are not acceptable." pyOpenSci welcomes these packages under "Data Retrieval", but JOSS has slightly different criteria. - [ ] The package contains a `paper.md` matching [JOSS's requirements][JossPaperRequirements] with a high-level description in the package root or in `inst/`. - [ ] The package is deposited in a long-term repository with the DOI: *Note: Do not submit your package separately to JOSS*Are you OK with Reviewers Submitting Issues and/or pull requests to your Repo Directly?
This option will allow reviewers to open smaller issues that can then be linked to PR's rather than submitting a more dense text based review. It will also allow you to demonstrate addressing the issue via PR links.
Code of conduct