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        "author": "Thierry Parmentelat",
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        "description": "# `nbautoeval`\n\n`nbautoeval` is a very lightweight python framework for creating **auto-evaluated**\nexercises inside a jupyter (python) notebook.\n\ntwo flavours of exercises are supported at this point\u00a0:\n\n* code-oriented\u00a0: given a text that describes the expectations, students are invited to\n  write their own code, and can then see the outcome on teacher-defined data samples,\n  compared with the results obtained through a teacher-provided solution, with a visual\n  (green/red) feedback\n* quizzes\u00a0: a separate module allows to create quizzes\n\nAt this point, due to lack of knowledge/documentation about open/edx (read: the\nversion running at FUN), there is no available code for exporting the results as\ngrades or anything similar (hence the `autoeval` name).\n\nThere indeed are provisions in the code to accumulate statistics on all\nattempted corrections, as an attempt to provide feedback to teachers.\n\n# Try it on `mybinder`\n\nClick the badge below to see a few sample demos under `mybinder.org` - it's all\nin the `demo-notebooks` subdir.\n\n**NOTE** the demo notebooks ship under a `.py` format and require `jupytext` to be\ninstalled before you can open them in Jupyter.\n\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/parmentelat/nbautoeval/master?filepath=demo-notebooks)\n\n\n# History\n\nThis was initially embedded into a [MOOC on\npython2](https://github.com/parmentelat/flotpython) that ran for the first time on [the\nFrench FUN platform](https://www.france-universite-numerique-mooc.fr/) in Fall 2014. It\nwas then duplicated into a [MOOC on\nbioinformatics](https://github.com/parmentelat/flotbioinfo) in Spring 2016 where it was\nnamed `nbautoeval` for the first time, but still embedded in a greater git module.\n\nThe current git repo is created in June 2016 from that basis, with the intention\nto be used as a git subtree from these 2 repos, and possibly others since a few\npeople have proved interested.\n\n# Installation\n\n```\npip install nbautoeval\n```\n\n# Overview\n\n## code-oriented\n\nCurrently supports the following types of exercises\n  * `ExerciseFunction` : the student is asked to write a function\n  * `ExerciseRegexp` : the student is asked to write a regular expression\n  * `ExerciseGenerator` : the student is asked to write a generator function \n  * `ExerciseClass` : tests will happen on a class implementation\n\nA teacher who wishes to implement an exercise needs to write 2 parts :\n\n* One python file that defines an instance of an exercise class; this in a nutshell\n  typically involves\n  * providing one solution (let's say a function) written in Python\n  * providing a set of input data\n  * plus optionnally various tweaks for rendering results\n\n* One notebook that imports this exercise object, and can then take advantage of it to\n  write jupyter cells that typically\n  * invoke `example()` on  the  exercise  object to show examples of the expected output\n  * invite the student to write their own code\n  * invoke `correction()` on  the  exercise  object to display the outcome.\n\n## quizzes\n\nHere again there will be 2 parts at work\u00a0:\n\n* The recommended way is to define quizzes in YAML format\u00a0:\n  * one YAML file can contain several quizzes - see examples in the `yaml/` subdir\n  * and each quiz contain a set of questions\n  * grouping questions into quizzes essentially makes sense wrt the maximal number of\n    attempts\n  * mostly all the pieces can be written in markdown (currently we use `myst_parser`)\n\n* then one invokes `run_yaml_quiz()` from a notebook to display the test\n  * this function takes 2 arguments, one to help locate the YAML file\n  * one to spot the quiz inside the YAML file\n  * run with `debug=True` to pinpoint errors in the source\n\n## results and storage\n\nRegardless of their type all tests have an `exoname` that is used to store information\nabout that specific test; for quizzes it is recommended to use a different name than \nthe quiz name used in `run_yaml_quiz()` so that students cant guess it too easily.\n\nstuff is stored in 2 separate locations\u00a0:\n\n* `~/.nbautoeval.trace` contain one JSON line per attempt (correction or submit)\n* `~/.nbautoeval.storage` for quizzes only, preserves previous choices, number of attempts\n\n# Known issues\n\nsee https://github.com/parmentelat/nbautoeval/issues\n\n\n",
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