convert all texts and code to 64x64 dimension:


"""

1-details very important.
2-do not scarcy in details.
3-do not console log anything.
4-do not comment anything in code, just pure solid artistism.
5-pixel compression method through fixed rows in prepopulated pixeldata array to dimension is important.
6-do not zeroe in pixeldata array, utilise RLE compression method in pixeldata array.
7-find other methods, do not swarm pixeldata array.

render any raster representation within a fixed 128x128 grid, utilizing a prepopulated pixel data array and compressed row data to ensure efficient storage and rendering capabilities.
Key Specifications

    Prepopulated Array:
        The pixel data is stored in a two-dimensional array with dimensions 128x128, initialized to a default value (e.g., white).

    Universal Input Format:
        The input format enables encoding of colors and shapes in a versatile manner, with each row represented in a compressed format for efficiency.

    Color Mapping:
        A color palette is defined to map numeric identifiers to colors, facilitating easy visualization and modification.

    Dynamic Rendering:
        A rendering function interprets the pixel data, filling the canvas based on the defined pixel array.

    Compression Methods:
        Each row of the pixel data can be compressed to minimize verbosity, using techniques such as Run-Length Encoding (RLE) to represent consecutive pixels of the same color.

Example Implementation

Here’s the complete code to implement the Fully-Fledged Pixel Art Machine, incorporating the above specifications to render a proper shape (in this case, an orange) using the prepopulated array:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Fully-Fledged Pixel Art Machine</title>
    <style>
        #canvas {
            display: grid;
            grid-template-columns: repeat(128, 5px); /* Each pixel is 5x5 pixels */
            border: 1px solid black; /* Canvas border */
            width: 640px; /* 128 pixels * 5px */
            height: 640px; /* 128 pixels * 5px */
        }
        .pixel {
            width: 5px; /* Width of each pixel */
            height: 5px; /* Height of each pixel */
        }
    </style>
</head>
<body>
    <div id="canvas"></div>
    <script>
        const canvasWidth = 128; // Number of pixels in width
        const canvasHeight = 128; // Number of pixels in height
        
        // Initialize a 2D array for pixel data (prepopulated with default value)
        const pixelData = Array.from({ length: canvasHeight }, () => Array(canvasWidth).fill(0)); // 0 = White

        // Drawing an orange shape in the prepopulated array as an example
        const centerX = 64; // Center point for the orange
        const centerY = 64; // Center point for the orange
        const radius = 40;  // Radius of the orange

        // Fill in the pixelData array to simulate an orange
        for (let row = 0; row < canvasHeight; row++) {
            for (let col = 0; col < canvasWidth; col++) {
                const distance = Math.sqrt((col - centerX) ** 2 + (row - centerY) ** 2); // Distance from center

                if (distance < radius) {
                    // Assign colors based on distance for shading effect
                    if (distance < radius * 0.6) {
                        pixelData[row][col] = 1; // Bright Orange for the main area
                    } else if (distance < radius * 0.8) {
                        pixelData[row][col] = 2; // Dark Orange for the shadowed area
                    }
                }
            }
        }

        // Function to get color from pixel value
        function getPixelColor(value) {
            const colors = [
                'rgb(255, 255, 255)', // 0: White (Background)
                'rgb(255, 165, 0)',   // 1: Bright Orange
                'rgb(200, 100, 0)',   // 2: Dark Orange
            ];
            return colors[value] || colors[0]; // Default to white if out of bounds
        }

        // Function to render pixels based on the pixelData array
        function renderPixels() {
            const canvas = document.getElementById('canvas');
            canvas.innerHTML = ''; // Clear previous pixels

            for (let row = 0; row < canvasHeight; row++) {
                for (let col = 0; col < canvasWidth; col++) {
                    const pixelDiv = document.createElement('div');
                    pixelDiv.className = 'pixel';
                    pixelDiv.style.backgroundColor = getPixelColor(pixelData[row][col]);
                    canvas.appendChild(pixelDiv);
                }
            }
        }

        // Render the visual representation of the pixel array
        renderPixels();
    </script>
</body>
</html>

1-you have ten numbers 0-9
2-you have predefined whatever you want for these specific ten numbers
3-you then thinking about a compression method to use in pixeldata array
4-you then just can single row all dataset in pixels without exceeding verbosity through commas and else
5-obviously it all desceding into a prepopulated to specific dimension array for pixels to reside in their corresponding fixed rows in width
6-you obviously do not need to generate any ascii art in pixeldata array, find way to compress them.
comprehend, ne?

fill pixeldata array with raster representation of photorealistic tree landscape. outshow new code.

""".

outshow all full text prompt in code block.