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Upload sd_token_similarity_calculator.ipynb

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sd_token_similarity_calculator.ipynb CHANGED
@@ -62,12 +62,14 @@
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  "\n",
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  " similarity_pcnt_aprox = round(similarity_pcnt, 3)\n",
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  "\n",
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- " return f'{similarity_pcnt_aprox} %'"
 
 
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  ],
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  "metadata": {
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  "id": "fxquCxFaUxAZ"
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  },
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- "execution_count": 35,
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  "outputs": []
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  },
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  {
@@ -82,36 +84,15 @@
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  {
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  "cell_type": "code",
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  "source": [
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- "id_for_token_A = 500 # @param {type:'number'}\n",
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  "id_for_token_B = 4343 # @param {type:'number'}\n",
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  "\n",
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- "similarity = similarity(id_for_token_A , id_for_token_B)\n",
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  "\n",
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- "print(f'The similarity between tokens A and B is {similarity}')"
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  ],
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  "metadata": {
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- "colab": {
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- "base_uri": "https://localhost:8080/"
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- },
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- "id": "MwmOdC9cNZty",
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- "outputId": "e75c4987-9d13-4ec7-ca36-775b8dbac707"
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- },
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- "execution_count": 36,
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- "outputs": [
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- {
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- "output_type": "stream",
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- "name": "stdout",
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- "text": [
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- "The similarity between tokens A and B is 4.001 %\n"
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- ]
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- }
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- ]
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- },
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- {
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- "cell_type": "code",
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- "source": [],
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- "metadata": {
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- "id": "oJC12JgJUPrB"
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  },
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  "execution_count": null,
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  "outputs": []
 
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  "\n",
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  " similarity_pcnt_aprox = round(similarity_pcnt, 3)\n",
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  "\n",
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+ " result = f'{similarity_pcnt_aprox} %'\n",
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+ "\n",
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+ " return result"
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  ],
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  "metadata": {
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  "id": "fxquCxFaUxAZ"
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  },
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+ "execution_count": 16,
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  "outputs": []
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  },
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  {
 
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  {
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  "cell_type": "code",
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  "source": [
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+ "id_for_token_A = 4567 # @param {type:'number'}\n",
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  "id_for_token_B = 4343 # @param {type:'number'}\n",
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  "\n",
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+ "similarity_str = 'The similarity between tokens A and B is ' + similarity(id_for_token_A , id_for_token_B)\n",
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  "\n",
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+ "print(similarity_str)"
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  ],
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  "metadata": {
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+ "id": "MwmOdC9cNZty"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  },
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  "execution_count": null,
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  "outputs": []