Frontend Enhancements: - Complete React TypeScript frontend with modern UI components - Distributed workflows management interface with real-time updates - Socket.IO integration for live agent status monitoring - Agent management dashboard with cluster visualization - Project management interface with metrics and task tracking - Responsive design with proper error handling and loading states Backend Infrastructure: - Distributed coordinator for multi-agent workflow orchestration - Cluster management API with comprehensive agent operations - Enhanced database models for agents and projects - Project service for filesystem-based project discovery - Performance monitoring and metrics collection - Comprehensive API documentation and error handling Documentation: - Complete distributed development guide (README_DISTRIBUTED.md) - Comprehensive development report with architecture insights - System configuration templates and deployment guides The platform now provides a complete web interface for managing the distributed AI cluster with real-time monitoring, workflow orchestration, and agent coordination capabilities. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
19 lines
548 B
JavaScript
19 lines
548 B
JavaScript
var baseClamp = require('./_baseClamp'),
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shuffleSelf = require('./_shuffleSelf'),
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values = require('./values');
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/**
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* The base implementation of `_.sampleSize` without param guards.
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*
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* @private
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* @param {Array|Object} collection The collection to sample.
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* @param {number} n The number of elements to sample.
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* @returns {Array} Returns the random elements.
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*/
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function baseSampleSize(collection, n) {
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var array = values(collection);
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return shuffleSelf(array, baseClamp(n, 0, array.length));
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}
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module.exports = baseSampleSize;
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