Simple Traps Tutorial for UltraFractal - Page 4
Functions
Simple Traps Enhanced has 94 trap functions. This page will look at some of these functions and the effects of the function parameters. As with the previous pages of the tutorial, the repeat gradient box is unchecked for starting image creation. It will be re-checked if needed. The first two images use one of the simplest functions, the Line function. Each is a 4 layer image with each layer of both images created using the Line function with different parameter settings. Study the parameter settings on each layer to see how the images are created and and ribbon-like structures. Modulated Iterations are used for coloring on some of the layers. Refer to the Modulated Iterations page of the Enhanced Traps tutorial for more detail. The user should examine the parameters and explore, explore, explore. A tremendous variety of images can be obtained from the 94 functions and their various parameters.
Line 1 | Line 2 |
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The next two images are 5 layer images and use the Curtate Cycloid function on all layers. The user should examine the uprs to understand how the images are created.
Curtate Cycloid 1 | Curtate Cycloid 2 |
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SimpleCurtate2 { ::bpaoEgn2tzZWPOOuRA43bg+/ggfKJbG3iUX2JgPYNZRQA28SSe3gtMttQrrVid3ubs/4TxLR Kf0tNwOTOWOADQxrikVVki8bont90COt6Pd/dBB8SeFjM7fWW3Vx+6z9cKnhnF8a5G+eSacY weW5u9cSCCHURfj1PQSEtbHtumSQzzyCn8HcQRPbTJfgM7f02Qr2EkT7bYc+fG/Aa5D4wwsZ 3fnUTy+vmx33uhU/cFvsjOMEUQ74ltNkZ/koOBwYptjWUyfjgCDD490mhOaPrhTejNo0Q/OW d7GGZDt/JWz93VT76Kb2J1fBUTWP5LhzxRpos4woFYcSyDhzTijiTTWGHhXGUT31QymnhCRo s0AazOwoElMHFjTv/utt9w4jqGv0DlCFCDmwgOWfxeWxTk2tbD2WWxao1gxsn948n3WPLA67 +3Iz+rwMoagW/W0MhK6WzZDcCMkBxHplVtPzl6DU46OEJc+CEO5BxQOOKDs2lNDlbYK3lY+v F6/m2G293BtcsoNMoaSzktWVlNMafQPrjR5QbCGarK3QWEHmEmkKa1Rj6iqxR9gMkAUV3w6f sZPtpgtZGMCfBiBEOI0cka2wOA2Bp2hZGU91SnxPRH4QGFtVt9qc+bgdjK8tqmtpcACV4Moh 910qAZ7kVnEr10L0eyG2WKEcoKmgC2uebTEpodQpFVga4ckQjqa0teAi3gmb1sOlQJ0hnMRO dr7lJlF8ItQWgu2NPXLVFtqS6vVlM8UZHJU12m21tbXLKcgI8cCpdQ3I9iUOkqRKL02qXVri Wp9/QW56sy1plhxkZ1lN/uV/x8f/MYiWv95miVEwB3wNJzJUOVbBrb7Iz+DzcVA9xB10Bsuc lKVj8tr19QTreM8WHbFRoShLZQ3EwiviMTvPQwXfroqtU61prAjMWYnWBeetJooTkbYiYG3s iEJULeFZFMCFN5xhXoVr0DgG2u+2W+K9AQ4GjtzttNJmEgVmikdiUEbFjc66BastgErYqVMz IKmTwgX1Qa3rQyo5hPA/F6Z62Go3g4JlMWILG/bBNstxOog9EWZc9DPxedl05Owp9cpRA2RR kBsTAE95mTd7LM1uQrGN+28o1QlRPEq9InzhQmtC2wefT5GaASvDC14N0TxiOrjQ7Hm6Gm6F cdCu+AXXg1DYdAjSxueiEr13a8Ht96RqwufkZ3sKWZ4JDlGrurR3amPxKby4YbqaFQXbFtHJ 9EmU4JpikpUNuUGzpKsUG0NKH5IH7InMt5pOFlN2PqQPloMwLU6q7b5OtWGONwZq9OKbKMRV PoTDTXTK1sy2W18ay0yOOQOzInJ0kxdszMyKm6MZszF3piY8o3Etlbqteof4o0vRGdbHsivZ HHiQ/8zF7nPN4XESkbC9zd3IK3G/nrXAkPdFQ+0lA5urBydXEk7uKI3uMwKGlPZjIbBJWxUr YW+4ih8pbElf0KicnNiydWQk7uiI3dboct9Uanz1BJqlHmU2FG5nfDoc9GQqYr8JrYmkKKf6 Kmcn4LH5IH5YH5kpNP1poscbUWubYWudFT+0VM5nsiJfyKGTK93ZtxaHd4I4bjPWr7yGzGLy W2MUQhzBGqqyW4kVj6QXvvge4LiTJwtdiI1g44cKxCSiay8qcjwEtvfzGRnqOykQCJDBE7JO 8z9SJMhqiF22kS6bfuRcaxh9tvWb/E+eYZtUHFwxzgvtLGK1yzaN79f4Xe/XErXeXVGiMTkh 27LqD+0KhVVyUjoTrRkragD+h0hOgYkVEbFjtiJWxUhoeS8q2azfFPKFNKFPKlMKlaCz7I/g aJczzi9OGXErSiPKd0Rp1f5zVDJk3Z9tjJTVJF+rX4mDHeAWxIvLiM7NjejNsCRJhKRIIskT eXY5gN3AD7/COiWw7zkOU+B3v6yPkYHJqGLPKwXZlVyKA5IP13eZ3XSHtTHKf0YqB5Cs1qKU iK6F5mCbSyPwHLpqsGGqYpnhuJ2qERSjTTqiy3d0HcjJlFBsCd7Uxh7ao9VrlmBlKUZMxWEd stIditIz1WImtROz2InZrNejuJ1ROzOBU9u0Y2zoKj5OC85gxyEWF4qiWbtMbl12VHWbpTas TGi7ISkijZpsroJqxYBVJbhrh/CDuRtOEr3cJKh7Rd3BlpTpDh1L5YrHKci5DhG/UBvHse2P TLS+ox+ByFO2MQJOJcWUD7ZlK23powMR49iF9itE7Z/s4ymysEHvITJGpFH2DqSddMQCbavI R0Y2x6b09evzs49SnEI40Eweicz3qxQabpRQKq47kgJl1qN5h6UiQUxqzd90NlQLUABarrB5 BDzjAo03kuzAT9mPLYoGOiweZAeJs+7gKeWd7UUWW6yYkuAU8Sd+pLXsMJZhOfMOxkfYIONN ToAVRRRx6iwxJhpI4jCaGHyRouvhQBdXPSABnkcLsTQfC7kfbzJZx1iJ5MMSE656xk4yIxCA 4SYS+LwJfFa5UEJmjuppks4aok4iIR/phbgSy5RkYnDfElkPCRi+uLXiSyViIRtlwlpk8RIS GZQdJKJniIx2krlSyZQkotdXBlkLjIxcxjPiSyniIxokjpkc9ISUm/zRJxiIZ+pQSUd8nxJ5 sQSsXW8z5kcZIJ6gvrkTylgkM6E+cOJnDSyo5/K5kcJIJ67TcVcSOGSiDBhPnTylgkMeduPm TylgkY2J4j5k8xQS0DhLwJ5qgkMOLOmTytAJZcucMnkrHSy4ijj5kcDQS0hET5kcLQS08ttc SuVIJmg7IbBeIJeIJeIJeIJeIJeIJeIJ/fHkE4LPy/p9JfBHGaJdEaQmkmllhRJ6sFVSXS43 I2HJ3w7GROS+tKOkj/S//JRfoW1KNjzuJ8HxfI4D5ReVYPmHrXgNy+oh5Jf4Jf8rP5jr4xhc 8tMuI3jTgeMxhctcPOB6h+Y23G3DL0Djd8m4ecGoH2b6dDcPMQP0Dibi7xUoHuvjibg7hL0D 7jp4q5e4A9wslwNz9YK0DXaOXN3DHoHWQO3K3DL0Dnpytx9wB6xICkbl7xI0DlGuduH+HHin 7hn7hn7hn7hn7hn7hn7xtw9YxyTfoIppoUYrAV+JLMsQWiDR4sxnJS44zHBnFGv05ZikgMNJ cJONbR83IWJx+3JyVDGBDz3o040M83Z2I/dwkWyfeDzDGxDGxDGxDGxDGxDGxDGxDGxDGxDG xDGxDGxDGxDG5/CBjgU7er/xyM+jiBHFizSMPIkox8NvUkf1RdkD3Udn8LCTod4pb4S3IGvA mkJoovtv8jvW1OwO5xf8jH6CE/fEysvj/yX8QO8QO+uD54BPgDPgDPgDPgDPgDPgDPgDPgDP gDPgDPgj/X9X8CaxZ+BvkEhTTXO+4PGfJHRLCXklYyHHGbfuILXEvIO5k/PCBhSCTSSx3ERk /NAQeenT }
The last function to be discussed is the one that appears as the default when
Simple Traps Enhanced is loaded. The function is Arachnida 1, and the next image
uses mostly default settings except for the background layer. The next two
images illustrate how much the default image can be changed. Although the Julia
sets used contribute to the changes, most comes from parameter changes. The user
is encouraged to examine all three uprs to see how the images are created.
Default Arachnida 1 | Arachnida 1 with Exponential Julia |
Arachnida
1 with a novel Julia |
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