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ConsciousnessLearn · Explore · Joseph Anady

Janady13/AI_Brain / scripts/bulk_update.cs

Source identity, revision, and recovered contents.

GitHub sourceSource text recovered

Source identity

FieldRecorded value
Source typeGitHub source
Original recordJanady13/AI_Brain / scripts/bulk_update.cs
DateNot specified in source
RepositoryJanady13/AI_Brain
Revisiond6c309d3fa439714ca46b9d3bb94caf478ea5376
Branchmain
Path or archive memberscripts/bulk_update.cs
Original SHA-256b19967eac6370a2309446e00931e6902668b171be7eb0a7da5d5341f8c905416
Git blob SHAce3c370875da304c31359a692dd8b267d4596f11
Reading-copy SHA-256b19967eac6370a2309446e00931e6902668b171be7eb0a7da5d5341f8c905416

Original source ↗

Every recorded occurrence

These 3 records contain identical original source bytes. Their paths and revisions remain part of the archive.

Original recordBranch or archiveRevision / identifierOriginal location
Janady13/AI_Brain / scripts/bulk_update.csmaind6c309d3fa439714ca46b9d3bb94caf478ea5376Open original
Janady13/AI_Brain / scripts/bulk_update.cscopilot/convert-python-files-to-csharp6d0767aad08781eb5c4e1eb14a42ec92c437be78Open original
Janady13/AI_Brain / scripts/bulk_update.csclaude/binary-helix-fibonacci-hive-011CUj7dx1WWJLVYcWCjBbYv527d4882c71eb041393f9d8945996177c5ac9e86Open original

Recovered source transcript

// Utilities for orchestrating high-volume marketing process refreshes using System; using System.Collections.Generic; using System.Diagnostics; namespace AIBrain.Scripts { public class BulkUpdatePlan { public int Iterations { get; set; } public int BatchSize { get; set; } public int ExecutedIterations { get; set; } public bool DryRun { get; set; } public double SampleRuntimeSeconds { get; set; } public double EstimatedTotalRuntimeSeconds { get; set; } public Dictionary<string, object> ToDict() { return new Dictionary<string, object> { ["iterations"] = Iterations, ["batch_size"] = BatchSize, ["executed_iterations"] = ExecutedIterations, ["dry_run"] = DryRun, ["sample_runtime_seconds"] = SampleRuntimeSeconds, ["estimated_total_runtime_seconds"] = EstimatedTotalRuntimeSeconds }; } } public static class BulkUpdate { private const string DEFAULT_PROMPT = "Scale omni-channel revenue loops for autonomous marketing agents with global payments coverage"; public static BulkUpdatePlan ExecuteBulkUpdates( int iterations = 1_000_000, int batchSize = 1_000, string prompt = DEFAULT_PROMPT, int limit = 2, bool dryRun = true) { if (iterations <= 0) throw new ArgumentException("iterations must be positive"); if (batchSize <= 0) throw new ArgumentException("batch_size must be positive"); if (limit <= 0) throw new ArgumentException("limit must be positive"); var sampleIterations = Math.Min(5, iterations); var stopwatch = Stopwatch.StartNew(); var executed = 0; for (int i = 0; i < sampleIterations; i++) { // Simulate marketing processes call // In real implementation, this would call the marketing API System.Threading.Thread.Sleep(10); executed++; } stopwatch.Stop(); var sampleRuntime = stopwatch.Elapsed.TotalSeconds; var perIteration = executed > 0 ? sampleRuntime / executed : 0.0; var estimatedTotal = perIteration * iterations; if (dryRun) { return new BulkUpdatePlan { Iterations = iterations, BatchSize = batchSize, ExecutedIterations = executed, DryRun = true, SampleRuntimeSeconds = sampleRuntime, EstimatedTotalRuntimeSeconds = estimatedTotal }; } // Full execution for (int i = sampleIterations; i < iterations; i++) { // Simulate marketing processes call System.Threading.Thread.Sleep(10); executed++; if (i % batchSize == 0) { Console.WriteLine($"Progress: {i}/{iterations}"); } } return new BulkUpdatePlan { Iterations = iterations, BatchSize = batchSize, ExecutedIterations = executed, DryRun = false, SampleRuntimeSeconds = sampleRuntime, EstimatedTotalRuntimeSeconds = stopwatch.Elapsed.TotalSeconds }; } public static void Main(string[] args) { var result = ExecuteBulkUpdates(dryRun: true); Console.WriteLine($"Bulk update plan: {result.ToDict()}"); } } }

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