Add pre commit game

.pre-commit-config.yaml

@@ -0,0 +1,83 @@
+default_language_version:
+  python: python3.10
+
+repos:
+- repo: https://github.com/pre-commit/pre-commit-hooks
+  rev: v4.4.0
+  hooks:
+  - id: end-of-file-fixer
+    exclude: (.txt$|.ipynb$)
+  - id: trailing-whitespace
+    exclude: (.txt$|README.md$)
+  - id: check-yaml
+  - id: check-json
+  - id: check-toml
+  - id: check-xml
+  # - id: check-added-large-files
+  #   args: [--enforce-all]
+  - id: name-tests-test
+  - id: detect-private-key
+  - id: check-case-conflict
+  - id: check-symlinks
+  - id: check-docstring-first
+
+- repo: https://github.com/psf/black
+  rev: 22.12.0
+  hooks:
+  - id: black
+    args: [--config=pyproject.toml]
+  - id: black-jupyter
+    args: [--config=pyproject.toml]
+
+- repo: https://github.com/seandstewart/pre-commit-poetry-export
+  rev: f0501a85959a71c26b964d9542a78d1033af083e
+  hooks: []
+  # - id: export-requirements
+  # - id: export-requirements-dev
+
+- repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks
+  rev: v2.6.0
+  hooks:
+  - id: pretty-format-ini
+    args: [--autofix]
+  - id: pretty-format-toml
+    args: [--autofix]
+  - id: pretty-format-yaml
+    args: [--autofix]
+    exclude: (docker-compose.yaml$)
+
+- repo: https://github.com/jendrikseipp/vulture
+  rev: v2.7  # or any later Vulture version
+  hooks:
+  - id: vulture
+
+- repo: https://github.com/domdfcoding/flake2lint
+  rev: v0.4.2
+  hooks:
+  - id: flake2lint
+
+- repo: https://github.com/PyCQA/flake8
+  rev: 6.0.0
+  hooks:
+  - id: flake8
+    args: [--config=.flake8]
+
+- repo: https://github.com/pre-commit/mirrors-mypy
+  rev: v0.991
+  hooks:
+  - id: mypy
+
+- repo: https://github.com/frnmst/md-toc
+  rev: 8.1.8
+  hooks:
+  - id: md-toc
+
+- repo: https://gitlab.com/smop/pre-commit-hooks
+  rev: v1.0.0
+  hooks:
+  - id: check-poetry
+
+- repo: https://github.com/Lucas-C/pre-commit-hooks-java
+  rev: 1.3.10
+  hooks:
+  - id: validate-html

test_main.ipynb

@@ -0,0 +1,172 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "array([[0., 0., 0., 0., 0.],\n       [0., 0., 0., 0., 0.],\n       [0., 0., 0., 0., 0.],\n       [0., 0., 0., 0., 0.],\n       [0., 0., 0., 0., 0.]])"
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a = np.zeros((5,5))\n",
+    "a"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "array([[ 0.,  0.,  0.,  0.,  0.],\n       [ 0.,  0.,  0.,  0.,  0.],\n       [ 0.,  0., 10.,  0.,  0.],\n       [ 0.,  0.,  0.,  0.,  0.],\n       [ 0.,  0.,  0.,  0.,  0.]])"
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a[2,2] = 10\n",
+    "a"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "outputs": [],
+   "source": [
+    "index_array = np.array([2,2], dtype=int)"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "234 ns ± 7.47 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)\n",
+      "311 ns ± 2.15 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)\n"
+     ]
+    }
+   ],
+   "source": [
+    "%timeit a[tuple(index_array.tolist())]\n",
+    "%timeit a[index_array[0], index_array[1]]"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "outputs": [],
+   "source": [
+    "def array_change(array):\n",
+    "    array[1] = 1"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "array([[ 0.,  0.,  0.,  0.,  0.],\n       [ 1.,  1.,  1.,  1.,  1.],\n       [ 0.,  1., 10.,  0.,  0.],\n       [ 1.,  1.,  1.,  1.,  1.],\n       [ 0.,  0.,  0.,  0.,  0.]])"
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "array_change(a[2:])\n",
+    "a"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "array([[ 0.,  0.,  0.,  0.,  0.],\n       [ 1.,  1.,  1.,  1.,  1.],\n       [ 0.,  1., 10.,  0.,  0.],\n       [ 0.,  0.,  0.,  0.,  0.],\n       [ 0.,  0.,  0.,  0.,  0.]])"
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}