Custompartnet Weight Calculator

Custom PartNet Weight Calculator – Calculate and Understand PartNet Weights :root { –primary-color: #004a99; –secondary-color: #007bff; –success-color: #28a745; –warning-color: #ffc107; –danger-color: #dc3545; –light-gray: #f8f9fa; –dark-gray: #343a40; –white: #ffffff; –border-color: #dee2e6; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–light-gray); color: var(–dark-gray); line-height: 1.6; margin: 0; padding: 0; display: flex; justify-content: center; padding: 20px; } .container { max-width: 1000px; width: 100%; background-color: var(–white); padding: 30px; border-radius: 8px; box-shadow: 0 4px 15px rgba(0, 0, 0, 0.1); display: flex; flex-direction: column; gap: 30px; } h1, h2, h3 { color: var(–primary-color); text-align: center; } h1 { margin-bottom: 10px; } .description { text-align: center; color: #555; font-size: 1.1em; margin-bottom: 30px; } .calculator-section { background-color: var(–white); padding: 25px; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.08); 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Custom PartNet Weight Calculator

Accurately calculate the weight of your custom network components and understand their contribution to your overall network performance.

PartNet Weight Calculator

Router Switch Server Firewall Access Point Custom Select the type of network component.
Enter a descriptive name for your custom component.
Enter dimensions in centimeters (cm), separated by 'x'.
Density of the primary material in g/cm³. (e.g., Steel ≈ 7.85)
Kilograms (kg) Pounds (lbs) Choose the desired unit for the weight calculation.
How many identical components are you calculating for?
The standard weight of a single component in kg.
Average power consumed by one component in Watts.
Measure of instruction execution rate in Millions of Instructions Per Second.
Maximum data transfer rate in Gigabits per second.

Your PartNet Weight Results

Weight per component (kg):
Total Weight (kg):
Weight/Power Ratio (kg/W):
Weight/Processing Ratio (kg/MIPS):
Formula Used:
Component Weight Breakdown
Component Type Base Weight (kg) Number of Components Calculated Weight (kg)
Weight Distribution Across Metrics

What is Custom PartNet Weight?

The "Custom PartNet Weight" is a conceptual metric designed to quantify the physical mass of network components, considering their type, specifications, and quantity. In the realm of custom network design and large-scale deployments, understanding the physical weight of each part is crucial for several reasons. It impacts rack space utilization, power distribution requirements (as heavier components often consume more power), structural integrity of data center floors, and logistics during installation and maintenance. While not a standard industry term like 'bandwidth' or 'latency', a custom PartNet weight calculator allows network engineers and administrators to assign a tangible value to their hardware, aiding in capacity planning and physical infrastructure management. It helps in estimating the total load on server racks, ensuring they are not overloaded, and can even influence choices regarding component selection based on weight constraints. This calculator is particularly useful for custom-built network solutions or when dealing with a diverse mix of hardware where precise weight information for each item might not be readily available or needs to be consolidated.

Who should use it: Network architects, data center managers, IT infrastructure planners, hardware procurement specialists, and anyone involved in the physical setup or scaling of network infrastructure. It is especially valuable when designing custom network configurations or managing large inventories of diverse hardware.

Common misconceptions: A primary misconception is that PartNet Weight is directly correlated with performance. While heavier components *can* sometimes indicate more robust builds or larger power supplies, it's not a rule. A lightweight, highly efficient switch might outperform a heavier, older model. Another misconception is that weight is only relevant for very large deployments; even in smaller setups, exceeding rack weight limits can cause physical damage and safety hazards. Finally, some may overlook the cumulative effect – many individual lightweight components can collectively become a significant weight concern.

PartNet Weight Formula and Mathematical Explanation

The Custom PartNet Weight calculation integrates several factors to provide a comprehensive weight assessment. For standard components, it primarily relies on a base weight adjusted by quantity. For custom components, it calculates weight based on dimensions and material density. This is then combined with other specifications to derive key ratios.

Core Weight Calculation:

For standard components (routers, switches, servers, etc.), the core weight is calculated as:

Weight_per_Component = Base_Weight

The total raw weight across all identical components is:

Total_Raw_Weight = Weight_per_Component * Number_of_Components

Custom Component Weight Calculation:

For custom components, the weight is estimated using its dimensions and the density of its primary material:

Volume = Length × Width × Height

Weight_per_Custom_Component = Volume × Material_Density

This calculated weight then substitutes the 'Base_Weight' in the subsequent calculations.

Unit Conversion:

The `Total_Raw_Weight` is converted to the user-selected unit (kg or lbs) for the primary result. The conversion factor is approximately 2.20462 lbs per kg.

Derived Ratios:

To provide further insights into the component's characteristics relative to its weight, we calculate:

Weight_to_Power_Ratio = Total_Raw_Weight / Total_Power_Consumption

Where Total_Power_Consumption = Power_Consumption_per_Component * Number_of_Components.

Weight_to_Processing_Ratio = Total_Raw_Weight / Total_Processing_Power

Where Total_Processing_Power = Processing_Power_per_Component * Number_of_Components.

Variable Explanations:

Variable Meaning Unit Typical Range / Notes
Base_Weight Standard weight of a single component. kg 1.0 – 50.0+ (e.g., Router: 5-20kg, Server: 15-50kg)
Number_of_Components Quantity of identical components. Unitless 1 – 1000+
Length, Width, Height Physical dimensions of a custom component. cm 1 – 100+ cm
Material_Density Mass per unit volume of the primary material. g/cm³ Steel: ~7.85, Aluminum: ~2.70, Plastic: ~0.9-1.4
Power_Consumption_per_Component Average power draw of one unit. Watts (W) 10W (AP) – 500W+ (Server/High-end Router)
Processing_Power_per_Component Instruction execution rate. MIPS 100 MIPS (Basic Switch) – 10,000+ MIPS (High-end Router/Server)
Data_Throughput_per_Component Maximum data transfer rate. Gbps 1 Gbps (Basic Switch) – 100+ Gbps (High-end Router)
Total_Raw_Weight Total physical mass of all components. kg Calculated
Weight_to_Power_Ratio Mass relative to power demand. kg/W Calculated
Weight_to_Processing_Ratio Mass relative to computational capacity. kg/MIPS Calculated

Practical Examples (Real-World Use Cases)

Example 1: Small Business Network Upgrade

A small business is upgrading its core network. They are installing 3 new high-performance network switches.

  • Component Type: Switch
  • Number of Components: 3
  • Base Component Weight: 6.5 kg
  • Power Consumption: 75 W
  • Processing Power: 5000 MIPS
  • Data Throughput: 40 Gbps
  • Units: Kilograms (kg)

Calculation:

  • Weight per component (kg): 6.5 kg
  • Total Raw Weight (kg): 6.5 kg * 3 = 19.5 kg
  • Total Power Consumption: 75 W * 3 = 225 W
  • Total Processing Power: 5000 MIPS * 3 = 15000 MIPS
  • Weight/Power Ratio: 19.5 kg / 225 W = 0.087 kg/W
  • Weight/Processing Ratio: 19.5 kg / 15000 MIPS = 0.0013 kg/MIPS

Result Interpretation: The 3 switches contribute a total of 19.5 kg to the rack's weight. The weight-to-power ratio of 0.087 kg/W suggests these switches are relatively power-efficient for their weight, which is a positive indicator for energy costs and heat management. The weight-to-processing ratio indicates a moderate density of processing capability per unit of mass. This information is vital for confirming the rack can handle the 19.5 kg load and for planning power distribution.

Example 2: Custom Server Rack Build

An IT team is building a specialized server rack. They need to calculate the weight of a custom-fabricated chassis for a unique application.

  • Component Type: Custom
  • Custom Component Name: Compute Node Chassis
  • Dimensions (L x W x H): 60cm x 45cm x 10cm
  • Material Density: 2.70 g/cm³ (Aluminum)
  • Number of Components: 5
  • Units: Pounds (lbs)
  • (Note: Power and Processing are not the primary focus for this custom chassis weight calculation, but would be entered if available for ratio analysis)

Calculation:

  • Volume: 60cm * 45cm * 10cm = 27000 cm³
  • Weight per Custom Component (kg): 27000 cm³ * 2.70 g/cm³ = 72900 g = 72.9 kg
  • Total Raw Weight (kg): 72.9 kg * 5 = 364.5 kg
  • Total Raw Weight (lbs): 364.5 kg * 2.20462 = 803.58 lbs

Result Interpretation: Each custom chassis weighs approximately 72.9 kg (160.6 lbs). The total weight for 5 chassis is substantial at 364.5 kg (803.58 lbs). This indicates a need for a robust, heavy-duty server rack and careful consideration of floor load capacity. This detailed weight information is critical for procurement and installation planning for this specialized hardware.

How to Use This Custom PartNet Weight Calculator

Using the Custom PartNet Weight Calculator is straightforward. Follow these steps to get accurate weight estimations for your network components:

  1. Select Component Type: Choose from the dropdown menu whether you are calculating for a standard component (like a Router, Switch, Server, Firewall, or Access Point) or a 'Custom' component.
  2. Enter Component Details:
    • For Standard Components: Input the 'Base Component Weight' (in kg), 'Number of Components', 'Power Consumption (Watts)', 'Processing Power (MIPS)', and 'Data Throughput (Gbps)'.
    • For Custom Components: If you selected 'Custom', you will see additional fields appear. Enter the 'Custom Component Name', its 'Dimensions (L x W x H)' in cm, and the 'Material Density' (in g/cm³). The calculator will then derive the weight based on these inputs.
  3. Choose Units: Select your preferred unit of measurement for the final weight: Kilograms (kg) or Pounds (lbs).
  4. Calculate Weight: Click the 'Calculate Weight' button. The calculator will instantly display your results.
  5. Review Results:
    • Main Result: The primary highlighted number shows the total calculated weight in your chosen units.
    • Intermediate Values: You'll see the weight per component (in kg), the total weight in raw kg, the weight-to-power ratio, and the weight-to-processing ratio. These ratios help contextualize the weight against performance metrics.
    • Formula Explanation: A brief description of the calculation method used is provided.
  6. Interpret the Data: Use the results to plan rack space, verify weight capacities, estimate power needs (as weight can be an indicator), and manage logistical aspects of your network hardware.
  7. Copy Results: If you need to document or share the findings, click the 'Copy Results' button to copy all calculated data and key assumptions to your clipboard.
  8. Reset Form: To start a new calculation, click the 'Reset' button to clear all fields and return them to default values.

Key Factors That Affect Custom PartNet Weight Results

Several factors influence the accuracy and interpretation of the PartNet Weight calculations:

  • Component Type & Design: Different component types inherently have different weights due to their internal components (power supplies, heat sinks, processors, chassis materials). A high-end server will naturally weigh more than a small wireless access point.
  • Base Weight Accuracy: For standard components, the accuracy of the 'Base Component Weight' entered is paramount. Manufacturers' specifications should be used where available. Relying on estimates can lead to inaccurate total weights.
  • Material Density (Custom Components): For custom builds, the density of the chosen materials (e.g., aluminum vs. steel vs. plastic) significantly impacts the final weight. Using precise density values is crucial.
  • Dimensions (Custom Components): The Length, Width, and Height of custom enclosures directly determine the volume, and thus the weight, when multiplied by density. Small variations can lead to noticeable differences.
  • Number of Components: This is a simple multiplier, but errors in counting the quantity of hardware will directly scale the total weight inaccuracy. Double-checking counts is essential.
  • Power Consumption: While not directly part of the core weight calculation, the 'Weight-to-Power Ratio' is heavily influenced by the power consumption input. Components with higher power draws often have larger, heavier power supplies and cooling systems, indirectly correlating weight with power usage.
  • Processing Power: Similar to power consumption, the 'Weight-to-Processing Ratio' uses processing power as a denominator. Higher performance components may require more robust (and heavier) internal structures or cooling, but the ratio itself is a comparison metric.
  • Structural Design & Add-ons: For both standard and custom components, added racks, trays, redundant power supplies, or specialized cooling units can increase the overall weight beyond the base specification. These should be factored in if significant.

Frequently Asked Questions (FAQ)

Q1: Is PartNet Weight a standard industry metric?

A: No, "PartNet Weight" is not a universally recognized standard metric like bandwidth (Gbps) or latency (ms). It's a conceptual term used here to quantify the physical mass of network components for planning and logistical purposes, especially relevant in custom or large-scale deployments.

Q2: How is the weight of custom components calculated?

A: For custom components, the calculator estimates weight by multiplying the component's volume (Length x Width x Height) by the density of its primary material. This provides a physics-based approximation.

Q3: Does a heavier component always mean better performance?

A: Not necessarily. While heavier components might indicate more robust build quality, larger power supplies, or advanced cooling, performance is primarily determined by factors like processing capability, memory, and architecture. A lightweight, modern device can easily outperform a heavier, older one.

Q4: Why is weight important in data center planning?

A: Weight is critical for several reasons: ensuring server racks are not overloaded (each rack has a weight limit), verifying the load-bearing capacity of data center floors, facilitating safe installation and handling of equipment, and contributing to overall infrastructure stability.

Q5: What if my component's weight isn't listed or is different from the base weight?

A: Always prioritize the manufacturer's exact specifications for the 'Base Component Weight'. If your specific model differs, use its actual weight. For custom parts, use precise dimensions and material densities.

Q6: How accurate are the Weight-to-Power and Weight-to-Processing ratios?

A: These ratios are comparative metrics designed to give you a sense of efficiency or density relative to weight. They are not definitive performance indicators but can highlight potential trade-offs. A lower ratio might suggest better efficiency (more performance/less weight).

Q7: Can I use this calculator for network cables or small accessories?

A: This calculator is primarily designed for larger network hardware components like routers, switches, and servers. While you could theoretically input cable weights as 'custom components', it's less practical for very small or numerous items where total weight is negligible.

Q8: What does it mean if my custom component's calculated weight is very high?

A: A high calculated weight for a custom component suggests it's either very large (high dimensions) or made from a dense material. This necessitates careful planning for rack mounting, transportation, and ensuring the physical infrastructure can support the load. It might prompt a review of material choices or enclosure design for potential weight reduction.

Related Tools and Internal Resources

Explore these related tools and resources to further enhance your network planning and management:

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var selectedComponentType = 'router'; // Default function updateCalculatorLogic() { var componentTypeSelect = document.getElementById('componentType'); selectedComponentType = componentTypeSelect.value; var customInputContainer = document.getElementById('customInputContainer'); if (selectedComponentType === 'custom') { customInputContainer.style.display = 'block'; // Set default values for custom inputs if they are empty if (document.getElementById('customName').value === ") { document.getElementById('customName').value = 'Custom Component'; } if (document.getElementById('customDimensions').value === ") { document.getElementById('customDimensions').value = '10x20x5′; } if (document.getElementById('customMaterialDensity').value === ") { document.getElementById('customMaterialDensity').value = '7.85'; } } else { customInputContainer.style.display = 'none'; // Clear custom input values when not in custom mode document.getElementById('customName').value = "; document.getElementById('customDimensions').value = "; document.getElementById('customMaterialDensity').value = "; } // Recalculate immediately after changing component type calculatePartNetWeight(); } function validateInput(id, errorId, minValue = null, maxValue = null, isRequired = true) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = input.value.trim(); var numValue = parseFloat(value); var isValid = true; errorElement.style.display = 'none'; input.style.borderColor = 'var(–border-color)'; if (isRequired && value === ") { errorElement.textContent = 'This field is required.'; errorElement.style.display = 'block'; input.style.borderColor = 'var(–danger-color)'; isValid = false; } else if (value !== ") { if (isNaN(numValue)) { errorElement.textContent = 'Please enter a valid number.'; errorElement.style.display = 'block'; input.style.borderColor = 'var(–danger-color)'; isValid = false; } else { if (minValue !== null && numValue maxValue) { errorElement.textContent = 'Value cannot be greater than ' + maxValue + '.'; errorElement.style.display = 'block'; input.style.borderColor = 'var(–danger-color)'; isValid = false; } } } return isValid; } function validateCustomDimensions() { var input = document.getElementById('customDimensions'); var errorElement = document.getElementById('customDimensionsError'); var value = input.value.trim(); var isValid = true; errorElement.style.display = 'none'; input.style.borderColor = 'var(–border-color)'; if (value === ") { errorElement.textContent = 'Dimensions are required for custom components.'; errorElement.style.display = 'block'; input.style.borderColor = 'var(–danger-color)'; return false; } var parts = value.split('x'); if (parts.length !== 3) { errorElement.textContent = 'Invalid format. Use L x W x H (e.g., 10x20x5).'; errorElement.style.display = 'block'; input.style.borderColor = 'var(–danger-color)'; return false; } for (var i = 0; i < parts.length; i++) { var dim = parseFloat(parts[i]); if (isNaN(dim) || dim 0 ? (totalRawWeightKg / totalPowerConsumption).toFixed(4) : 'N/A'; var weightToProcessingRatio = totalProcessingPower > 0 ? (totalRawWeightKg / totalProcessingPower).toFixed(4) : 'N/A'; // — Display Results — document.getElementById('totalWeightResult').textContent = totalWeightResultValue.toFixed(2) + ' ' + totalWeightResultUnit; document.getElementById('componentWeightKg').querySelector('span').textContent = currentBaseWeightKg.toFixed(2); document.getElementById('totalWeightRaw').querySelector('span').textContent = totalRawWeightKg.toFixed(2); document.getElementById('weightToPowerRatio').querySelector('span').textContent = weightToPowerRatio; document.getElementById('weightToProcessingRatio').querySelector('span').textContent = weightToProcessingRatio; resultsSection.style.display = 'block'; // — Update Table — var componentDisplayName = (componentType === 'custom') ? customName : componentType.charAt(0).toUpperCase() + componentType.slice(1); var newRow = tableBody.insertRow(); newRow.insertCell(0).textContent = componentDisplayName; newRow.insertCell(1).textContent = currentBaseWeightKg.toFixed(2); newRow.insertCell(2).textContent = numberOfComponents; newRow.insertCell(3).textContent = totalRawWeightKg.toFixed(2); // Always show in KG in table for consistency // — Update Chart — updateChart(totalRawWeightKg, totalPowerConsumption, totalProcessingPower, dataThroughput); } function resetForm() { document.getElementById('componentType').value = 'router'; document.getElementById('customName').value = 'Custom Component'; document.getElementById('customDimensions').value = '10x20x5′; document.getElementById('customMaterialDensity').value = '7.85'; document.getElementById('units').value = 'kg'; document.getElementById('numberOfComponents').value = '1'; document.getElementById('baseWeight').value = '5.0'; document.getElementById('powerConsumption').value = '50'; document.getElementById('processingPower').value = '1000'; document.getElementById('dataThroughput').value = '10'; // Hide custom inputs and reset their errors document.getElementById('customInputContainer').style.display = 'none'; document.getElementById('customNameError').textContent = "; document.getElementById('customDimensionsError').textContent = "; document.getElementById('customMaterialDensityError').textContent = "; // Clear error messages for all inputs var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].textContent = ''; errorElements[i].style.display = 'none'; } // Reset input borders var inputs = document.querySelectorAll('.input-group input, .input-group select'); for (var i = 0; i < inputs.length; i++) { inputs[i].style.borderColor = 'var(–border-color)'; } document.getElementById('resultsSection').style.display = 'none'; document.getElementById('totalWeightResult').textContent = '–'; document.getElementById('componentWeightKg').querySelector('span').textContent = '–'; document.getElementById('totalWeightRaw').querySelector('span').textContent = '–'; document.getElementById('weightToPowerRatio').querySelector('span').textContent = '–'; document.getElementById('weightToProcessingRatio').querySelector('span').textContent = '–'; document.getElementById('formulaText').textContent = ''; document.querySelector('#weightTable tbody').innerHTML = ''; // Clear table // Clear chart var canvas = document.getElementById('weightMetricsChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); selectedComponentType = 'router'; // Reset default } function copyResults() { var totalWeightResult = document.getElementById('totalWeightResult').textContent; var componentWeightKg = document.getElementById('componentWeightKg').textContent.replace('Weight per component (kg): ', '').trim(); var totalWeightRaw = document.getElementById('totalWeightRaw').textContent.replace('Total Weight (kg): ', '').trim(); var weightToPowerRatio = document.getElementById('weightToPowerRatio').textContent.replace('Weight/Power Ratio (kg/W): ', '').trim(); var weightToProcessingRatio = document.getElementById('weightToProcessingRatio').textContent.replace('Weight/Processing Ratio (kg/MIPS): ', '').trim(); var formula = document.getElementById('formulaText').textContent; var assumptions = [ "Component Type: " + document.getElementById('componentType').options[document.getElementById('componentType').selectedIndex].text, "Units: " + document.getElementById('units').value.toUpperCase(), "Number of Components: " + document.getElementById('numberOfComponents').value, "Base Weight (kg): " + document.getElementById('baseWeight').value, "Power Consumption (W): " + document.getElementById('powerConsumption').value, "Processing Power (MIPS): " + document.getElementById('processingPower').value, "Data Throughput (Gbps): " + document.getElementById('dataThroughput').value ]; if (document.getElementById('componentType').value === 'custom') { assumptions.push("Custom Component Name: " + document.getElementById('customName').value); assumptions.push("Custom Dimensions (LxWxH): " + document.getElementById('customDimensions').value); assumptions.push("Custom Material Density (g/cm³): " + document.getElementById('customMaterialDensity').value); } var textToCopy = "— Custom PartNet Weight Results —\n\n"; textToCopy += "Total Calculated Weight: " + totalWeightResult + "\n\n"; textToCopy += "— Key Metrics —\n"; textToCopy += "Weight per Component (kg): " + componentWeightKg + "\n"; textToCopy += "Total Weight (kg): " + totalWeightRaw + "\n"; textToCopy += "Weight/Power Ratio (kg/W): " + weightToPowerRatio + "\n"; textToCopy += "Weight/Processing Ratio (kg/MIPS): " + weightToProcessingRatio + "\n\n"; textToCopy += "— Formula Used —\n" + formula + "\n\n"; textToCopy += "— Key Assumptions —\n" + assumptions.join("\n"); // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = textToCopy; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.opacity = "0"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied successfully!' : 'Failed to copy results.'; // Optionally display a temporary message to the user alert(msg); } catch (err) { alert('Oops, unable to copy using the browser command.'); } document.body.removeChild(textArea); } // — Charting — var weightMetricsChart; function updateChart(totalWeightKg, totalPowerConsumption, totalProcessingPower, dataThroughput) { var ctx = document.getElementById('weightMetricsChart').getContext('2d'); // Destroy previous chart instance if it exists if (window.weightMetricsChart) { window.weightMetricsChart.destroy(); } // Define data series – Scale appropriately for visualization // We'll normalize or use representative values for the chart axes var chartData = { labels: ['Total Weight (kg)', 'Total Power (W)', 'Total Processing (MIPS)', 'Total Throughput (Gbps)'], datasets: [{ label: 'Component Metrics', data: [ totalWeightKg, totalPowerConsumption, totalProcessingPower, dataThroughput // Assuming this is in Gbps ], backgroundColor: [ 'rgba(0, 74, 153, 0.6)', // Primary Blue for Weight 'rgba(255, 193, 7, 0.6)', // Warning Yellow for Power 'rgba(40, 167, 69, 0.6)', // Success Green for Processing 'rgba(220, 53, 69, 0.6)' // Danger Red for Throughput ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(255, 193, 7, 1)', 'rgba(40, 167, 69, 1)', 'rgba(220, 53, 69, 1)' ], borderWidth: 1 }] }; // Adjust scales if necessary for better visualization – using a radar chart might be better here // For a bar chart, raw values might be too disparate. Let's try a radar chart. window.weightMetricsChart = new Chart(ctx, { type: 'radar', // Use radar chart for comparing multiple metrics data: chartData, options: { responsive: true, maintainAspectRatio: true, // Allow aspect ratio to adjust elements: { line: { borderWidth: 2, borderColor: 'rgba(0, 74, 153, 0.8)' // Slightly different color for lines }, point: { radius: 5, hoverRadius: 7, backgroundColor: 'rgba(255, 255, 255, 0.8)', borderColor: 'rgba(0, 74, 153, 1)', } }, scales: { r: { angleLines: { color: 'rgba(200, 200, 200, 0.5)' }, grid: { color: 'rgba(200, 200, 200, 0.5)' }, pointLabels: { font: { size: 12, color: 'var(–dark-gray)' } }, ticks: { backdropColor: 'rgba(255, 255, 255, 0.7)', // Background for tick labels color: 'var(–dark-gray)' } } }, plugins: { legend: { display: false // Radar chart often doesn't need a legend if labels are clear }, title: { display: true, text: 'Comparison of Component Metrics', font: { size: 16, color: 'var(–primary-color)' }, padding: { top: 10, bottom: 10 } } } } }); } // Initial setup and update document.addEventListener('DOMContentLoaded', function() { updateCalculatorLogic(); // Initialize custom input visibility and potentially calculate defaults // Ensure chart canvas is sized correctly on load var canvas = document.getElementById('weightMetricsChart'); canvas.width = canvas.parentElement.offsetWidth * 0.9; // Adjust width based on parent container canvas.height = canvas.width * 0.75; // Maintain aspect ratio (e.g., 4:3) // Add event listeners for real-time updates var form = document.getElementById('partnetWeightForm'); var inputs = form.querySelectorAll('input, select'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', calculatePartNetWeight); inputs[i].addEventListener('change', calculatePartNetWeight); // For selects } // Also listen to changes on the component type selector specifically for logic updates document.getElementById('componentType').addEventListener('change', updateCalculatorLogic); // Initial calculation on page load with default values calculatePartNetWeight(); }); // Need to include Chart.js library for the chart to work // In a real implementation, this would be included via a CDN script tag in the head or at the end of the body. // For this single-file HTML output, assume Chart.js is available globally or add it here: // // Adding a placeholder script tag here for completeness, but it won't execute in this context without actual import. // In a real scenario, ensure Chart.js is properly loaded BEFORE this script runs. // As per the instructions, NO external libraries should be assumed or added. // THIS IS A CONSTRAINT VIOLATION IF CHART.JS IS NEEDED AND NOT PROVIDED. // Given the constraint, a pure SVG or manual canvas drawing would be required if Chart.js is forbidden. // Re-reading: "NO external chart libraries". This implies Chart.js IS forbidden. // Therefore, the charting section needs to be revised to use pure SVG or Canvas API directly. // — Re-implementing Chart using Pure Canvas API (No Chart.js) — // This is significantly more complex and less polished than using a library. // For the scope of this task, let's acknowledge the limitation and provide a placeholder/simplified drawing. // A full-featured native canvas chart is extensive. We'll draw basic bars. function updateChart(totalWeightKg, totalPowerConsumption, totalProcessingPower, dataThroughput) { var canvas = document.getElementById('weightMetricsChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear previous drawing var data = [ { label: 'Total Weight (kg)', value: totalWeightKg, color: 'rgba(0, 74, 153, 0.7)' }, { label: 'Total Power (W)', value: totalPowerConsumption, color: 'rgba(255, 193, 7, 0.7)' }, { label: 'Total Processing (MIPS)', value: totalProcessingPower, color: 'rgba(40, 167, 69, 0.7)' }, { label: 'Total Throughput (Gbps)', value: dataThroughput, color: 'rgba(220, 53, 69, 0.7)' } ]; var padding = 50; var chartWidth = canvas.width – 2 * padding; var chartHeight = canvas.height – 2 * padding; var barWidth = chartWidth / (data.length * 1.5); // Spacing for bars var barGap = barWidth * 0.5; var maxChartValue = Math.max(…data.map(item => item.value)); if (maxChartValue === 0) maxChartValue = 1; // Avoid division by zero // Draw Title ctx.fillStyle = 'var(–primary-color)'; ctx.font = '16px Segoe UI, Tahoma, Geneva, Verdana, sans-serif'; ctx.textAlign = 'center'; ctx.fillText('Comparison of Component Metrics', canvas.width / 2, padding / 2); // Draw Axes and Labels ctx.strokeStyle = '#ccc'; ctx.lineWidth = 1; // Y-axis (Value Scale) ctx.beginPath(); ctx.moveTo(padding, canvas.height – padding); ctx.lineTo(padding, padding); ctx.stroke(); // X-axis (Metric Labels) ctx.beginPath(); ctx.moveTo(padding, canvas.height – padding); ctx.lineTo(canvas.width – padding, canvas.height – padding); ctx.stroke(); // Draw Bars and Labels ctx.textAlign = 'center'; var currentX = padding + barGap; for (var i = 0; i < data.length; i++) { var barHeight = (data[i].value / maxChartValue) * chartHeight; ctx.fillStyle = data[i].color; ctx.fillRect(currentX, canvas.height – padding – barHeight, barWidth, barHeight); // Draw label below bar ctx.fillStyle = 'var(–dark-gray)'; ctx.font = '11px Segoe UI, Tahoma, Geneva, Verdana, sans-serif'; ctx.fillText(data[i].label.split(' ')[0], currentX + barWidth / 2, canvas.height – padding + 15); // Shorter labels // Draw value above bar ctx.fillStyle = 'var(–dark-gray)'; ctx.font = '10px Segoe UI, Tahoma, Geneva, Verdana, sans-serif'; ctx.fillText(data[i].value.toLocaleString(undefined, { maximumFractionDigits: 2 }), currentX + barWidth / 2, canvas.height – padding – barHeight – 5); currentX += barWidth + barGap; } // Draw Y-axis ticks and labels (simplified) var tickCount = 5; for (var i = 0; i <= tickCount; i++) { var tickValue = maxChartValue * (i / tickCount); var yPos = canvas.height – padding – (tickValue / maxChartValue) * chartHeight; ctx.beginPath(); ctx.moveTo(padding – 5, yPos); ctx.lineTo(padding, yPos); ctx.stroke(); ctx.fillStyle = 'var(–dark-gray)'; ctx.textAlign = 'right'; ctx.fillText(tickValue.toLocaleString(undefined, { maximumFractionDigits: 0 }), padding – 10, yPos + 4); } } // Initial update to set custom input visibility correctly updateCalculatorLogic();

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