gm
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7efac2bbfa
13 changed files with 163 additions and 0 deletions
0
.gitignore
vendored
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.gitignore
vendored
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LICENSE.md
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LICENSE.md
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This project comes in two parts:
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- Lesson material, which lives in `material`, licensed with [CC BY-SA 4.0][2].
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- Source code, which is everything else in this repository, licensed with [GPL 3.0][1].
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The full legal text of the license can be found in a file called LICENSE within
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the respective directories.
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[1]: https://www.gnu.org/licenses/quick-guide-gplv3.html
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[2]: https://creativecommons.org/licenses/by-sa/4.0/
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1
README.md
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README.md
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eduproj
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flake.lock
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flake.lock
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{
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"nodes": {
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"flake-utils": {
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"locked": {
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"lastModified": 1629481132,
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"narHash": "sha256-JHgasjPR0/J1J3DRm4KxM4zTyAj4IOJY8vIl75v/kPI=",
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"owner": "numtide",
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"repo": "flake-utils",
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"rev": "997f7efcb746a9c140ce1f13c72263189225f482",
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"type": "github"
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},
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"original": {
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"owner": "numtide",
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"repo": "flake-utils",
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"type": "github"
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}
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},
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"nixpkgs": {
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"locked": {
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"lastModified": 1630125726,
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"narHash": "sha256-STeKWv2RQCTwA9FEAiGCcO9l+CiXhVuaTl1bz3mJRxw=",
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"owner": "NixOS",
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"repo": "nixpkgs",
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"rev": "45131df1671d5886821908b5294f5fba5fb23fc7",
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"type": "github"
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},
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"original": {
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"id": "nixpkgs",
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"type": "indirect"
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}
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},
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"root": {
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"inputs": {
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"flake-utils": "flake-utils",
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"nixpkgs": "nixpkgs"
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}
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}
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},
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"root": "root",
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"version": 7
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}
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flake.nix
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flake.nix
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{
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inputs.flake-utils.url = "github:numtide/flake-utils";
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outputs = { self, flake-utils, nixpkgs }:
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flake-utils.lib.eachSystem [ "x86_64-linux" ] (system:
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let
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pkgs = nixpkgs.legacyPackages.${system};
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flakePkgs = rec {
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sm2 = pkgs.python39Packages.callPackage ./sm2 {};
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};
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in rec {
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defaultPackage = packages.sm2;
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packages = flake-utils.lib.flattenTree flakePkgs;
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});
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}
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ideas.txt
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ideas.txt
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concepts:
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- learning targets
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- can relate to other concepts in the following ways:
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- concept A "depends" on concept B; explaining concept A requires some information from concept B
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- concept A "optdepends" on concept B
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- concept A "satisfies" concept B; mastery of concept A implies mastery of concept B
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topics:
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- groups of concepts
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- can nest infinitely
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"reviews" are randomly constructed sets of activities
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each user has a mastery level for each concept
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references:
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- super memo algorithm used by anki: https://en.wikipedia.org/wiki/SuperMemo#Description_of_SM-2_algorithm
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material/proof.rst
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material/proof.rst
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.. TODO: split out into math proofs and formal proofs
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:title: Proof
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:subtopics:
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- induction
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:summary:
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Proofs are arguments that present evidence that constructs an argument.
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1
result
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result
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/nix/store/gqxdrhrrpjadp664vj934mj5nhzk7y9f-sm2
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sm2/default.nix
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sm2/default.nix
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{ buildPythonApplication, nix-gitignore, python, mypy }:
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let
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pythonBuildInputs = [ ];
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pythonWithBuildInputs = python.withPackages (_: pythonBuildInputs);
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in
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buildPythonApplication {
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name = "sm2";
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src = nix-gitignore.gitignoreSourcePure [ ../.gitignore ] ./.;
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doCheck = true;
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checkInputs = [ mypy ];
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checkPhase = ''
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${mypy}/bin/mypy --no-color-output \
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--package sm2 \
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--python-executable ${pythonWithBuildInputs}/bin/python \
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--strict
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'';
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}
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sm2/pyproject.toml
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sm2/pyproject.toml
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[build-system]
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sm2/setup.py
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sm2/setup.py
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from setuptools import setup
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setup(
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name = "sm2",
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packages = ["sm2"],
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)
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sm2/sm2/__init__.py
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sm2/sm2/__init__.py
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sm2/sm2/sm2.py
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sm2/sm2/sm2.py
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from typing import Tuple
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def sm2_algo(
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user_grade: int,
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n: int,
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ef: float,
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i: int,
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) -> Tuple[int, float, int]:
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"""
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From https://en.wikipedia.org/wiki/SuperMemo#Description_of_SM-2_algorithm
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n: repetition number, how many times a number was repeated
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ef: easiness-factor, how quickly the interval grows
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i: interval (in days)
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returns the updated version of these values
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"""
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# grade >= 3 means the response was correct
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if user_grade >= 3:
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# update the number of days until the next review
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# increases exponentially starting with 1 day and 6 days
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if n == 0:
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i = 1
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elif n == 1:
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i = 6
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else:
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i = round(i * ef)
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# increment the number of days
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n += 1
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# incorrect
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else:
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n = 0
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i = 1
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inv_grade = 5 - user_grade
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ef = ef + (0.1 - inv_grade * (0.08 + inv_grade * 0.02))
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if ef < 1.3:
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ef = 1.3
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return (n, ef, i)
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