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‎Basic_Samples/Embeddings/dotnet/csharp/Comparing_embeddings.ipynb‎

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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 17,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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"languageId": "polyglot-notebook"
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}
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},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div><div></div><div></div><div><strong>Installed Packages</strong><ul><li><span>Azure.AI.OpenAI, 1.0.0-beta.14</span></li><li><span>Microsoft.DotNet.Interactive.AIUtilities, 1.0.0-beta.24129.1</span></li></ul></div></div>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"#r \"nuget: Azure.AI.OpenAI, 1.0.0-beta.14\"\n",
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"#r \"nuget:Microsoft.DotNet.Interactive.AIUtilities, 1.0.0-beta.24129.1\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 18,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": null,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 19,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 20,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"cell_type": "code",
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"execution_count": 33,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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"outputs": [],
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"source": [
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"var firstSentence = \"The quick brown fox jumps over the lazy dog\";\n",
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"var secondSentence = \"The quick fox jumps over the black dog\";"
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"var secondSentence = \"The quick fox jumps over the lazy dog\";"
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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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"execution_count": 14,
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"execution_count": 34,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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"var secondEmbeddings = (await client.GetEmbeddingsAsync(new EmbeddingsOptions(deployment, new []{ secondSentence }))).Value.Data[0].Embedding.ToArray();"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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},
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"polyglot_notebook": {
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"kernelName": "csharp"
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},
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"vscode": {
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"languageId": "polyglot-notebook"
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}
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div class=\"dni-plaintext\"><pre>[ -0.0035237537, 0.008311155, -0.014132736, -0.0045390725, -0.015415244, 0.018583793, -0.02041954 ]</pre></div><style>\r\n",
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".dni-code-hint {\r\n",
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" font-style: italic;\r\n",
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" overflow: hidden;\r\n",
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" white-space: nowrap;\r\n",
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"}\r\n",
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".dni-treeview {\r\n",
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" white-space: nowrap;\r\n",
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"}\r\n",
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".dni-treeview td {\r\n",
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" vertical-align: top;\r\n",
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" text-align: start;\r\n",
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"}\r\n",
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"details.dni-treeview {\r\n",
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" padding-left: 1em;\r\n",
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"}\r\n",
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"table td {\r\n",
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" text-align: start;\r\n",
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"}\r\n",
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"table tr { \r\n",
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" vertical-align: top; \r\n",
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" margin: 0em 0px;\r\n",
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"}\r\n",
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"table tr td pre \r\n",
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"{ \r\n",
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" vertical-align: top !important; \r\n",
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" margin: 0em 0px !important;\r\n",
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"} \r\n",
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"table th {\r\n",
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" text-align: start;\r\n",
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"}\r\n",
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"</style>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"<div class=\"dni-plaintext\"><pre>[ -0.003907447, 0.008527633, -0.013624029, -0.006285345, -0.0026570011, 0.016840814, -0.019313322 ]</pre></div><style>\r\n",
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".dni-code-hint {\r\n",
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" font-style: italic;\r\n",
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" overflow: hidden;\r\n",
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" white-space: nowrap;\r\n",
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"}\r\n",
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".dni-treeview {\r\n",
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" white-space: nowrap;\r\n",
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"}\r\n",
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".dni-treeview td {\r\n",
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" vertical-align: top;\r\n",
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" text-align: start;\r\n",
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"}\r\n",
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"details.dni-treeview {\r\n",
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" padding-left: 1em;\r\n",
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"}\r\n",
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"table td {\r\n",
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" text-align: start;\r\n",
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"}\r\n",
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"table tr { \r\n",
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" vertical-align: top; \r\n",
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" margin: 0em 0px;\r\n",
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"}\r\n",
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"table tr td pre \r\n",
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"{ \r\n",
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" vertical-align: top !important; \r\n",
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" margin: 0em 0px !important;\r\n",
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"} \r\n",
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"table th {\r\n",
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" text-align: start;\r\n",
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"}\r\n",
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"</style>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"firstEmbeddings.Take(7).Display();\n",
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"secondEmbeddings.Take(7).Display();"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# calculate Cosine Similarity"
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"### calculate Cosine Similarity"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 36,
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"metadata": {
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"dotnet_interactive": {
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"language": "csharp"
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{
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"data": {
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"text/html": [
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"<div class=\"dni-plaintext\"><pre>0.948887</pre></div><style>\r\n",
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"<div class=\"dni-plaintext\"><pre>0.9821579</pre></div><style>\r\n",
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".dni-code-hint {\r\n",
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" font-style: italic;\r\n",
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" overflow: hidden;\r\n",

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