# Autograding assistant
### Instructions * This software requires Python 3.x and Flask version 1.0.2 installed on the system. * The web based autograding assistant needs data input to be uploaded in the form of nbgrader metadata. * When using the software, select the zipped nbgrader metadata dataset for upload. * Upload the models answers if available in the form of a txt file. * Once the application is lauched, go to http://127.0.0.1:5000 to get the GUI window.
Metadata
Release files for grading-application 0.0.7
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| grading_application-0.0.7-py3-none-any.whl | Python 3 | none | any | Details for grading_application-0.0.7-py3-none-any.whl |
Release files / grading_application-0.0.7-py3-none-any.whl
| Download URL | grading_application-0.0.7-py3-none-any.whl |
|---|---|
| Size | 9.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
1c089139cb2204686f76696d2962f1c522473fcdc0b4e495d1337e9aca20685d
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BLAKE2b-256 checksum How to use checksums |
0a8d96c625ff7d3d7f597f23a213a4c5d7e0b0813dd4f5af6a5f6ffbc96c4c8b
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.14.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.8
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Security for grading-application 0.0.7
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