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using SixLabors.ImageSharp;
using SixLabors.ImageSharp.Processing;
using SixLabors.ImageSharp.PixelFormats;
using SixLabors.ImageSharp.Formats.Jpeg;
using FaceAiSharp;
using System.Numerics.Tensors;
using Microsoft.ML.OnnxRuntime;
using Microsoft.ML.OnnxRuntime.Tensors;

const string InputFolder = @"D:\photo-frame\input";

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// config - ok to leave PERPLEXITY_API_TOKEN blank
const OPENAI_API_TOKEN = '';
const PERPLEXITY_API_TOKEN = ''
const TODOIST_API_TOKEN = '';
const AI_TASK_LABEL = 'ai';
const AI_MESSAGE_PREFIX = 'AI:';
const MAX_GENERATION_ATTEMPTS = 10;
const OPENAI_MODEL = 'gpt-4o'
const PERPLEXITY_MODEL = 'sonar-pro'

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ffmpeg -i input.mp4 -vf "lenscorrection=0.5:0.5:-0.45:0.11" output.mp4

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<?xml version="1.0" encoding="UTF-8"?>
<CORSConfiguration xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
   <CORSRule>
      <AllowedOrigin>*</AllowedOrigin>
      <AllowedMethod>GET</AllowedMethod>
      <MaxAgeSeconds>3000</MaxAgeSeconds>
      <AllowedHeader>Authorization</AllowedHeader>
      <AllowedHeader>Content-Length</AllowedHeader>
   </CORSRule>
</CORSConfiguration>

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difference() {
    union() {
        cube(size=[61,85,5], center = true);
        translate([29.5, 0 ,5]) {
            cube(size=[2, 85, 10], center = true);
        }
        translate([-29.5, 0 ,15]) {
            cube(size=[2, 85, 30], center = true);
        }
    }

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difference() {
    cube(size=[86,86,70]);
    translate([43,43,10]) {
        cylinder(h=35, d=60);
        translate([0,0,30]){
            cylinder(h=35, d=78);
        }
    }
    translate([-2,-2,10]) {
        cube(size=[40,40,70]);

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// uses Google.Analytics.Data.V1Beta from NuGet
// credentials from Google cloud project authentication export
// GA4 Profile ID from GA4 Admin

var client = new BetaAnalyticsDataClientBuilder
{
    CredentialsPath = "PathToCredentials.json"
}.Build();

RunReportRequest request = new RunReportRequest