commit 7109d9790177d3e669929a4dce6d65d6d4ba05ed Author: onebigear Date: Tue Jun 7 11:37:20 2022 -0600 add prev files visual clues diff --git a/.ipynb_checkpoints/yong_brainsim_randomization-checkpoint.ipynb b/.ipynb_checkpoints/yong_brainsim_randomization-checkpoint.ipynb new file mode 100644 index 0000000..7a02072 --- /dev/null +++ b/.ipynb_checkpoints/yong_brainsim_randomization-checkpoint.ipynb @@ -0,0 +1,362 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "9b41cf26-d1c2-4e20-97fa-9e51df98b7b9", + "metadata": {}, + "source": [ + "# Yong (永) Brainsim \n", + "Tribute to BRAINSIM, a neural network on the Commodore 64 \n", + "\n", + "My discussion (with @nickm) on BRAINSIM can be found in the archive of the Critical Code Studies Working Group 2022: https://wg.criticalcodestudies.com/index.php?p=/discussion/117/brainsim-neural-network-on-a-commodore-64-2022-code-critique#latest" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "id": "70db2505-37c4-45a0-aca6-94da2f5e310f", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "id": "28cb06d8-6efe-47c5-932b-7ceeeaa2849f", + "metadata": {}, + "outputs": [], + "source": [ + "# a representation of \"永\" in matrix notation\n", + "yong_grid = [[0,0,0,0,1,1,0,0,0,0],\n", + " [0,0,1,1,1,1,0,0,1,0],\n", + " [0,0,0,0,0,1,0,1,0,0],\n", + " [0,0,0,0,0,1,1,0,0,0],\n", + " [0,1,1,1,1,1,1,0,0,0],\n", + " [0,0,0,1,0,1,1,0,0,0],\n", + " [0,0,1,0,0,1,0,1,0,0],\n", + " [0,1,0,0,0,1,0,0,1,0],\n", + " [0,0,0,1,0,1,0,0,0,0],\n", + " [0,0,0,0,1,1,0,0,0,0]]" + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "id": "4fabcbef-6471-46b3-b2d2-a40d175ea5d3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[0 0 0 0 1 1 0 0 0 0]\n", + " [0 0 1 1 1 1 0 0 1 0]\n", + " [0 0 0 0 0 1 0 1 0 0]\n", + " [0 0 0 0 0 1 1 0 0 0]\n", + " [0 1 1 1 1 1 1 0 0 0]\n", + " [0 0 0 1 0 1 1 0 0 0]\n", + " [0 0 1 0 0 1 0 1 0 0]\n", + " [0 1 0 0 0 1 0 0 1 0]\n", + " [0 0 0 1 0 1 0 0 0 0]\n", + " [0 0 0 0 1 1 0 0 0 0]]\n" + ] + } + ], + "source": [ + "print(np.matrix(yong_grid))" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "id": "2c97a665-f732-4e6a-a65d-15230f4c4b34", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib import pyplot as plt\n", + "im = plt.imshow(yong_grid, cmap=\"copper_r\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "id": "88b311f4-e2cc-494d-9e24-714816303460", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns; sns.set()\n", + "ax = sns.heatmap(yong_grid, annot=True, fmt=\"d\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "id": "9f113e8b-b4f3-4633-ae25-0c8f52cd9131", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "1\n" + ] + } + ], + "source": [ + "# access item in matrix\n", + "# notation is [column][row]\n", + "print(yong_grid[0][4])\n", + "print(yong_grid[0][5])" + ] + }, + { + "cell_type": "code", + "execution_count": 166, + "id": "432f0ba2-6e6f-4e75-92b0-60edfa334e91", + "metadata": {}, + "outputs": [], + "source": [ + "twenty_p_one = [1,1,0,0,0,0,0,0,0,0]\n", + "twenty_p_zero = [0,0,1,1,1,1,1,1,1,1]" + ] + }, + { + "cell_type": "code", + "execution_count": 167, + "id": "b8de1127-f19b-4c9b-a8e2-f199af0cc965", + "metadata": {}, + "outputs": [], + "source": [ + "import random\n", + "import math\n", + "z_count = 0\n", + "one_count = 0\n", + "import math\n", + "for i in range(10):\n", + " for j in range(10):\n", + " if yong_grid[i][j] == 0:\n", + " # reassign\n", + " yong_grid[i][j] = random.choice(twenty_p_one) \n", + " else:\n", + " yong_grid[i][j] = random.choice(twenty_p_zero) " + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "id": "a650e08a-9a56-45ca-b230-e3c15308d4e4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = sns.heatmap(yong_grid, annot=True, fmt=\"d\")" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "id": "539a820f-d146-441f-add1-329c76b73e4c", + "metadata": {}, + "outputs": [], + "source": [ + "# lists for 5%, 10% and 15% randomization\n", + "five_p_one = [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n", + "five_p_zero = [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]\n", + "ten_p_one = [1,0,0,0,0,0,0,0,0,0]\n", + "ten_p_zero = [0,1,1,1,1,1,1,1,1,1]\n", + "fifteen_p_one = [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n", + "fifteen_p_zero = [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1]" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "id": "0bcb9ea5-8cca-429b-8c23-65ff435d7592", + "metadata": {}, + "outputs": [], + "source": [ + "# random image generator\n", + "# generate heatmap and save in folder \n", + "def randImg(list_zero, list_one):\n", + " z_count = 0\n", + " one_count = 0\n", + " for i in range(10):\n", + " for j in range(10):\n", + " if yong_grid[i][j] == 0:\n", + " yong_grid[i][j] = random.choice(list_zero) \n", + " else:\n", + " yong_grid[i][j] = random.choice(list_one) \n", + " ax = sns.heatmap(yong_grid, annot=True, fmt=\"d\")\n", + " # clear randomization; reassign var yong_grid hold values of original text input matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 171, + "id": "95d3568c-082a-4343-80b9-9004521817bc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# call function with 5%\n", + "# clear randomization; reassign var yong_grid hold values of original text input matrix\n", + "yong_grid = [[0,0,0,0,1,1,0,0,0,0],\n", + " [0,0,1,1,1,1,0,0,1,0],\n", + " [0,0,0,0,0,1,0,1,0,0],\n", + " [0,0,0,0,0,1,1,0,0,0],\n", + " [0,1,1,1,1,1,1,0,0,0],\n", + " [0,0,0,1,0,1,1,0,0,0],\n", + " [0,0,1,0,0,1,0,1,0,0],\n", + " [0,1,0,0,0,1,0,0,1,0],\n", + " [0,0,0,1,0,1,0,0,0,0],\n", + " [0,0,0,0,1,1,0,0,0,0]]\n", + "randImg(five_p_zero, five_p_one)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "id": "506f97b0-e44d-401c-81b5-6d43d9933944", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# call function with 10%\n", + "yong_grid = [[0,0,0,0,1,1,0,0,0,0],\n", + " [0,0,1,1,1,1,0,0,1,0],\n", + " [0,0,0,0,0,1,0,1,0,0],\n", + " [0,0,0,0,0,1,1,0,0,0],\n", + " [0,1,1,1,1,1,1,0,0,0],\n", + " [0,0,0,1,0,1,1,0,0,0],\n", + " [0,0,1,0,0,1,0,1,0,0],\n", + " [0,1,0,0,0,1,0,0,1,0],\n", + " [0,0,0,1,0,1,0,0,0,0],\n", + " [0,0,0,0,1,1,0,0,0,0]]\n", + "randImg(ten_p_zero, ten_p_one)" + ] + }, + { + "cell_type": "code", + "execution_count": 173, + "id": "bf3dd55e-6614-4b9d-9e99-8e81f957bfa9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# fifteen percent\n", + "yong_grid = [[0,0,0,0,1,1,0,0,0,0],\n", + " [0,0,1,1,1,1,0,0,1,0],\n", + " [0,0,0,0,0,1,0,1,0,0],\n", + " [0,0,0,0,0,1,1,0,0,0],\n", + " [0,1,1,1,1,1,1,0,0,0],\n", + " [0,0,0,1,0,1,1,0,0,0],\n", + " [0,0,1,0,0,1,0,1,0,0],\n", + " [0,1,0,0,0,1,0,0,1,0],\n", + " [0,0,0,1,0,1,0,0,0,0],\n", + " [0,0,0,0,1,1,0,0,0,0]]\n", + "randImg(fifteen_p_zero, fifteen_p_one)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c9a8f88b-6b44-4587-a4b8-46ed9fd26b14", + "metadata": {}, + "outputs": [], + "source": [ + "# TODO\n", + "# clear randomization; reassign var yong_grid hold values of original text input matrix\n", + "# add annotation to specify level of randomization \n", + "# run 100 times and save pictures" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/8b.gif b/8b.gif new file mode 100644 index 0000000..5121335 Binary files /dev/null and b/8b.gif differ diff --git a/README.md b/README.md new file mode 100644 index 0000000..e8bcc9e --- /dev/null +++ b/README.md @@ -0,0 +1,3 @@ +# Graph +![](8b.gif) +![](fig_12_3.png) \ No newline at end of file diff --git a/digits_separate.png b/digits_separate.png new file mode 100644 index 0000000..230c54e Binary files /dev/null and b/digits_separate.png differ diff --git a/fig_12_3.png b/fig_12_3.png new file mode 100644 index 0000000..c8f3d43 Binary files /dev/null and b/fig_12_3.png differ diff --git a/fig_12_4.png b/fig_12_4.png new file mode 100644 index 0000000..197e3bb Binary files /dev/null and b/fig_12_4.png differ diff --git a/random.jpg b/random.jpg new file mode 100644 index 0000000..00718e3 Binary files /dev/null and b/random.jpg differ diff --git a/recall.jpg b/recall.jpg new file mode 100644 index 0000000..e7f045f Binary files /dev/null and b/recall.jpg differ diff --git a/todo.md b/todo.md new file mode 100644 index 0000000..c2d1d84 --- /dev/null +++ b/todo.md @@ -0,0 +1,2 @@ +add more visual references from metamagical themas: aaaaaa matrix. +run yong notebook as program \ No newline at end of file diff --git a/yong_brainsim_randomization.ipynb b/yong_brainsim_randomization.ipynb new file mode 100644 index 0000000..7a02072 --- /dev/null +++ b/yong_brainsim_randomization.ipynb @@ -0,0 +1,362 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "9b41cf26-d1c2-4e20-97fa-9e51df98b7b9", + "metadata": {}, + "source": [ + "# Yong (永) Brainsim \n", + "Tribute to BRAINSIM, a neural network on the Commodore 64 \n", + "\n", + "My discussion (with @nickm) on BRAINSIM can be found in the archive of the Critical Code Studies Working Group 2022: https://wg.criticalcodestudies.com/index.php?p=/discussion/117/brainsim-neural-network-on-a-commodore-64-2022-code-critique#latest" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "id": "70db2505-37c4-45a0-aca6-94da2f5e310f", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "id": "28cb06d8-6efe-47c5-932b-7ceeeaa2849f", + "metadata": {}, + "outputs": [], + "source": [ + "# a representation of \"永\" in matrix notation\n", + "yong_grid = [[0,0,0,0,1,1,0,0,0,0],\n", + " [0,0,1,1,1,1,0,0,1,0],\n", + " [0,0,0,0,0,1,0,1,0,0],\n", + " [0,0,0,0,0,1,1,0,0,0],\n", + " [0,1,1,1,1,1,1,0,0,0],\n", + " [0,0,0,1,0,1,1,0,0,0],\n", + " [0,0,1,0,0,1,0,1,0,0],\n", + " [0,1,0,0,0,1,0,0,1,0],\n", + " [0,0,0,1,0,1,0,0,0,0],\n", + " [0,0,0,0,1,1,0,0,0,0]]" + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "id": "4fabcbef-6471-46b3-b2d2-a40d175ea5d3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[0 0 0 0 1 1 0 0 0 0]\n", + " [0 0 1 1 1 1 0 0 1 0]\n", + " [0 0 0 0 0 1 0 1 0 0]\n", + " [0 0 0 0 0 1 1 0 0 0]\n", + " [0 1 1 1 1 1 1 0 0 0]\n", + " [0 0 0 1 0 1 1 0 0 0]\n", + " [0 0 1 0 0 1 0 1 0 0]\n", + " [0 1 0 0 0 1 0 0 1 0]\n", + " [0 0 0 1 0 1 0 0 0 0]\n", + " [0 0 0 0 1 1 0 0 0 0]]\n" + ] + } + ], + "source": [ + "print(np.matrix(yong_grid))" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "id": "2c97a665-f732-4e6a-a65d-15230f4c4b34", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib import pyplot as plt\n", + "im = plt.imshow(yong_grid, cmap=\"copper_r\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "id": "88b311f4-e2cc-494d-9e24-714816303460", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns; sns.set()\n", + "ax = sns.heatmap(yong_grid, annot=True, fmt=\"d\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "id": "9f113e8b-b4f3-4633-ae25-0c8f52cd9131", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "1\n" + ] + } + ], + "source": [ + "# access item in matrix\n", + "# notation is [column][row]\n", + "print(yong_grid[0][4])\n", + "print(yong_grid[0][5])" + ] + }, + { + "cell_type": "code", + "execution_count": 166, + "id": "432f0ba2-6e6f-4e75-92b0-60edfa334e91", + "metadata": {}, + "outputs": [], + "source": [ + "twenty_p_one = [1,1,0,0,0,0,0,0,0,0]\n", + "twenty_p_zero = [0,0,1,1,1,1,1,1,1,1]" + ] + }, + { + "cell_type": "code", + "execution_count": 167, + "id": "b8de1127-f19b-4c9b-a8e2-f199af0cc965", + "metadata": {}, + "outputs": [], + "source": [ + "import random\n", + "import math\n", + "z_count = 0\n", + "one_count = 0\n", + "import math\n", + "for i in range(10):\n", + " for j in range(10):\n", + " if yong_grid[i][j] == 0:\n", + " # reassign\n", + " yong_grid[i][j] = random.choice(twenty_p_one) \n", + " else:\n", + " yong_grid[i][j] = random.choice(twenty_p_zero) " + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "id": "a650e08a-9a56-45ca-b230-e3c15308d4e4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = sns.heatmap(yong_grid, annot=True, fmt=\"d\")" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "id": "539a820f-d146-441f-add1-329c76b73e4c", + "metadata": {}, + "outputs": [], + "source": [ + "# lists for 5%, 10% and 15% randomization\n", + "five_p_one = [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n", + "five_p_zero = [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]\n", + "ten_p_one = [1,0,0,0,0,0,0,0,0,0]\n", + "ten_p_zero = [0,1,1,1,1,1,1,1,1,1]\n", + "fifteen_p_one = [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n", + "fifteen_p_zero = [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1]" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "id": "0bcb9ea5-8cca-429b-8c23-65ff435d7592", + "metadata": {}, + "outputs": [], + "source": [ + "# random image generator\n", + "# generate heatmap and save in folder \n", + "def randImg(list_zero, list_one):\n", + " z_count = 0\n", + " one_count = 0\n", + " for i in range(10):\n", + " for j in range(10):\n", + " if yong_grid[i][j] == 0:\n", + " yong_grid[i][j] = random.choice(list_zero) \n", + " else:\n", + " yong_grid[i][j] = random.choice(list_one) \n", + " ax = sns.heatmap(yong_grid, annot=True, fmt=\"d\")\n", + " # clear randomization; reassign var yong_grid hold values of original text input matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 171, + "id": "95d3568c-082a-4343-80b9-9004521817bc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# call function with 5%\n", + "# clear randomization; reassign var yong_grid hold values of original text input matrix\n", + "yong_grid = [[0,0,0,0,1,1,0,0,0,0],\n", + " [0,0,1,1,1,1,0,0,1,0],\n", + " [0,0,0,0,0,1,0,1,0,0],\n", + " [0,0,0,0,0,1,1,0,0,0],\n", + " [0,1,1,1,1,1,1,0,0,0],\n", + " [0,0,0,1,0,1,1,0,0,0],\n", + " [0,0,1,0,0,1,0,1,0,0],\n", + " [0,1,0,0,0,1,0,0,1,0],\n", + " [0,0,0,1,0,1,0,0,0,0],\n", + " [0,0,0,0,1,1,0,0,0,0]]\n", + "randImg(five_p_zero, five_p_one)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "id": "506f97b0-e44d-401c-81b5-6d43d9933944", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# call function with 10%\n", + "yong_grid = [[0,0,0,0,1,1,0,0,0,0],\n", + " [0,0,1,1,1,1,0,0,1,0],\n", + " [0,0,0,0,0,1,0,1,0,0],\n", + " [0,0,0,0,0,1,1,0,0,0],\n", + " [0,1,1,1,1,1,1,0,0,0],\n", + " [0,0,0,1,0,1,1,0,0,0],\n", + " [0,0,1,0,0,1,0,1,0,0],\n", + " [0,1,0,0,0,1,0,0,1,0],\n", + " [0,0,0,1,0,1,0,0,0,0],\n", + " [0,0,0,0,1,1,0,0,0,0]]\n", + "randImg(ten_p_zero, ten_p_one)" + ] + }, + { + "cell_type": "code", + "execution_count": 173, + "id": "bf3dd55e-6614-4b9d-9e99-8e81f957bfa9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# fifteen percent\n", + "yong_grid = [[0,0,0,0,1,1,0,0,0,0],\n", + " [0,0,1,1,1,1,0,0,1,0],\n", + " [0,0,0,0,0,1,0,1,0,0],\n", + " [0,0,0,0,0,1,1,0,0,0],\n", + " [0,1,1,1,1,1,1,0,0,0],\n", + " [0,0,0,1,0,1,1,0,0,0],\n", + " [0,0,1,0,0,1,0,1,0,0],\n", + " [0,1,0,0,0,1,0,0,1,0],\n", + " [0,0,0,1,0,1,0,0,0,0],\n", + " [0,0,0,0,1,1,0,0,0,0]]\n", + "randImg(fifteen_p_zero, fifteen_p_one)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c9a8f88b-6b44-4587-a4b8-46ed9fd26b14", + "metadata": {}, + "outputs": [], + "source": [ + "# TODO\n", + "# clear randomization; reassign var yong_grid hold values of original text input matrix\n", + "# add annotation to specify level of randomization \n", + "# run 100 times and save pictures" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/yong_brainsim_randomization.nbdata b/yong_brainsim_randomization.nbdata new file mode 100644 index 0000000..01ae050 --- /dev/null +++ b/yong_brainsim_randomization.nbdata @@ -0,0 +1,7 @@ +Title: Yong Brainsim Randomization +Date: 2022-04-04 +Category: computer_archaeology +Tags: computer_archaeology_cn, machine_learning +Slug: yong-brainsim-randomization +Authors: onebigear +Summary: randomized matrix representation of the “yong” 永 character. \ No newline at end of file