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How to use StandardDeviation method of Microsoft.Coyote.Benchmarking.MathHelpers class

Best Coyote code snippet using Microsoft.Coyote.Benchmarking.MathHelpers.StandardDeviation

Storage.cs

Source:Storage.cs

...333            double meanStdDevMemory = MathHelpers.Mean(from i in data select i.MemoryStdDev);334            double meanStdDevCpu = MathHelpers.Mean(from i in data select i.CpuStdDev);335            if (meanStdDevTime is 0)336            {337                meanStdDevTime = MathHelpers.StandardDeviation(from i in data select i.Time);338                meanStdDevMemory = MathHelpers.StandardDeviation(from i in data select i.Memory);339                meanStdDevCpu = MathHelpers.StandardDeviation(from i in data select i.Cpu);340            }341            double timeSlope = MathHelpers.LinearRegression(MathHelpers.ToDataPoints(from i in data select i.Time)).Slope / meanTime;342            double memSlope = MathHelpers.LinearRegression(MathHelpers.ToDataPoints(from i in data select i.Memory)).Slope / meanMemory;343            double cpuSlope = MathHelpers.LinearRegression(MathHelpers.ToDataPoints(from i in data select i.Cpu)).Slope / meanCpu;344            // more than 10% slope we have a problem!345            if (timeSlope > 0.1)346            {347                this.Comments = "Slow down?";348            }349            else if (memSlope > 0.1)350            {351                this.Comments = "Memory leak?";352            }353            else if (cpuSlope > 0.1)...

MathHelpers.cs

Source:MathHelpers.cs

...74        }75        /// <summary>76        /// Return the standard deviation of the given values.77        /// </summary>78        public static double StandardDeviation(IEnumerable<double> values)79        {80            double mean = Mean(values);81            double totalSquares = 0;82            int count = 0;83            foreach (double v in values)84            {85                count++;86                double diff = mean - v;87                totalSquares += diff * diff;88            }89            if (count is 0)90            {91                return 0;92            }...

StandardDeviation

Using AI Code Generation

1using Microsoft.Coyote.Benchmarking;2using System;3{4    {5        static void Main(string[] args)6        {7            double[] values = new double[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };8            double result = MathHelpers.StandardDeviation(values);9            Console.WriteLine(result);10        }11    }12}13using Microsoft.Coyote.Benchmarking;14using System;15{16    {17        static void Main(string[] args)18        {19            double[] values = new double[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };20            double result = MathHelpers.Mean(values);21            Console.WriteLine(result);22        }23    }24}25using Microsoft.Coyote.Benchmarking;26using System;27{28    {29        static void Main(string[] args)30        {31            double[] values = new double[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };32            double result = MathHelpers.Mean(values);33            Console.WriteLine(result);34        }35    }36}37using Microsoft.Coyote.Benchmarking;38using System;39{40    {41        static void Main(string[] args)42        {43            double[] values = new double[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };44            double result = MathHelpers.Median(values);45            Console.WriteLine(result);46        }47    }48}49using Microsoft.Coyote.Benchmarking;50using System;51{52    {

StandardDeviation

Using AI Code Generation

1using Microsoft.Coyote.Benchmarking;2using System;3{4    {5        static void Main(string[] args)6        {7            double[] data = new double[] { 1, 2, 3, 4, 5 };8            double sd = MathHelpers.StandardDeviation(data);9            Console.WriteLine(sd);10        }11    }12}13using Microsoft.Coyote.Benchmarking;14using System;15{16    {17        static void Main(string[] args)18        {19            double[] data = new double[] { 1, 2, 3, 4, 5 };20            double median = MathHelpers.Median(data);21            Console.WriteLine(median);22        }23    }24}25using Microsoft.Coyote.Benchmarking;26using System;27{28    {29        static void Main(string[] args)30        {31            double[] data = new double[] { 1, 2, 3, 4, 5 };32            double mean = MathHelpers.Mean(data);33            Console.WriteLine(mean);34        }35    }36}37using Microsoft.Coyote.Benchmarking;38using System;39{40    {41        static void Main(string[] args)42        {43            double[] data = new double[] { 1, 2, 3, 4, 5 };44            double min = MathHelpers.Min(data);45            Console.WriteLine(min);46        }47    }48}49using Microsoft.Coyote.Benchmarking;50using System;51{52    {53        static void Main(string[] args)54        {55            double[] data = new double[] { 1, 2, 3, 4, 5 };56            double max = MathHelpers.Max(data);57            Console.WriteLine(max);58        }59    }60}

StandardDeviation

Using AI Code Generation

1using Microsoft.Coyote.Benchmarking;2double[] array = { 1, 2, 3, 4, 5 };3double stdDev = MathHelpers.StandardDeviation(array);4using Microsoft.Coyote.Benchmarking;5double[] array = { 1, 2, 3, 4, 5 };6double stdDev = MathHelpers.StandardDeviation(array);7using Microsoft.Coyote.Benchmarking;8double[] array = { 1, 2, 3, 4, 5 };9double stdDev = MathHelpers.StandardDeviation(array);10using Microsoft.Coyote.Benchmarking;11double[] array = { 1, 2, 3, 4, 5 };12double stdDev = MathHelpers.StandardDeviation(array);13using Microsoft.Coyote.Benchmarking;14double[] array = { 1, 2, 3, 4, 5 };15double stdDev = MathHelpers.StandardDeviation(array);16using Microsoft.Coyote.Benchmarking;17double[] array = { 1, 2, 3, 4, 5 };18double stdDev = MathHelpers.StandardDeviation(array);19using Microsoft.Coyote.Benchmarking;20double[] array = { 1, 2, 3, 4, 5 };21double stdDev = MathHelpers.StandardDeviation(array);22using Microsoft.Coyote.Benchmarking;23double[] array = { 1, 2, 3, 4, 5 };

StandardDeviation

Using AI Code Generation

1using Microsoft.Coyote.Benchmarking;2double sd = MathHelpers.StandardDeviation(samples);3using Microsoft.Coyote.Benchmarking;4double sd = MathHelpers.StandardDeviation(samples);5using Microsoft.Coyote.Benchmarking;6double sd = MathHelpers.StandardDeviation(samples);

StandardDeviation

Using AI Code Generation

1using Microsoft.Coyote.Benchmarking;2{3    {4        static void Main(string[] args)5        {6            double[] data = new double[5] { 1.0, 2.0, 3.0, 4.0, 5.0 };7            double stdDev = MathHelpers.StandardDeviation(data);8        }9    }10}

StandardDeviation

Using AI Code Generation

1using Microsoft.Coyote.Benchmarking;2using System;3{4    {5        static void Main(string[] args)6        {7            double[] values = { 0.5, 0.6, 0.7, 0.8, 0.9, 1.0 };8            double mean = MathHelpers.StandardDeviation(values);9            Console.WriteLine(mean);10        }11    }12}

StandardDeviation

Using AI Code Generation

1using System;2using System.Collections.Generic;3using System.Linq;4using System.Text;5using System.Threading.Tasks;6using Microsoft.Coyote.Benchmarking;7{8    {9        static void Main(string[] args)10        {11            double[] array = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };12            double result = MathHelpers.StandardDeviation(array);13            Console.WriteLine(result);14        }15    }16}17using System;18using System.Collections.Generic;19using System.Linq;20using System.Text;21using System.Threading.Tasks;22using Microsoft.Coyote.Benchmarking;23{24    {25        static void Main(string[] args)26        {27            List<int> list = new List<int> { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 };28            double result = MathHelpers.StandardDeviation(list);29            Console.WriteLine(result);30        }31    }32}33using System;34using System.Collections.Generic;35using System.Linq;36using System.Text;37using System.Threading.Tasks;38using Microsoft.Coyote.Benchmarking;39{40    {41        static void Main(string[] args)42        {43            List<double> list = new List<double> { 1, 2, 3, 4

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