internal M_ResourceCapability[] CreateCapabilities(MasterDBContext context, List <ResourceProperty> resourceProperties)
        {
            for (var i = 0; i < resourceProperties.Count; i++)
            {
                Capabilities.Add(new M_ResourceCapability {
                    Name = "" + AlphabeticNumbering.GetAlphabeticNumbering(i) + " Capability"
                });
            }

            context.ResourceCapabilities.AddRange(Capabilities);
            context.SaveChanges();
            ParentCapabilities = new List <M_ResourceCapability>(Capabilities);

            for (var i = 0; i < resourceProperties.Count; i++)
            {
                CreateToolingCapabilities(context, Capabilities[i], resourceProperties[i]);
            }

            return(Capabilities.ToArray());
        }
Пример #2
0
        public void Test1()
        {
            var lintMax   = Int32.MaxValue;
            var longMax   = Int64.MaxValue;
            var doubleMax = Double.MaxValue;

            System.Diagnostics.Debug.WriteLine(lintMax.ToString());
            System.Diagnostics.Debug.WriteLine(longMax.ToString());
            System.Diagnostics.Debug.WriteLine(doubleMax.ToString());
            var faculty = new Faculty();
            //var f1 = faculty.Calc(200);
            //var f2 = faculty.Calc(20);
            //var r = Math.Round(f2);
            //var p1 = Math.Pow(100.537, 100);
            //var p2 = Math.Pow(10.1, 20);
            var x1   = Math.Round(Math.Pow(5.0 / 1.0, 19) * 50);
            var x2   = Convert.ToInt64(x1);
            var sum1 = Convert.ToInt64(0);
            var sum2 = 0.0;

            for (int i = 0; i < 20; i++)
            {
                var result = Convert.ToInt64(Math.Round(Math.Pow(5.0 / 1.0, i) * 50));
                sum1 += result;
                sum2 += result;
            }

            sum1 *= 5;
            sum2 *= 5.0;
            var x3 = Convert.ToInt64(Math.Round(sum2));

            var x4 = Math.Round(5.4343454359);

            var n1 = AlphabeticNumbering.GetAlphabeticNumbering(0);
            var n2 = AlphabeticNumbering.GetAlphabeticNumbering(25);
            var n3 = AlphabeticNumbering.GetAlphabeticNumbering(26);
            var n4 = AlphabeticNumbering.GetAlphabeticNumbering(52);
            var n5 = AlphabeticNumbering.GetAlphabeticNumbering(454);
            var n6 = AlphabeticNumbering.GetAlphabeticNumbering(1);
            var n7 = AlphabeticNumbering.GetAlphabeticNumbering(2);
            var n8 = AlphabeticNumbering.GetAlphabeticNumbering(3);

            var n11 = AlphabeticNumbering.GetNumericRepresentation(n1);
            var n12 = AlphabeticNumbering.GetNumericRepresentation(n2);
            var n13 = AlphabeticNumbering.GetNumericRepresentation(n3);
            var n14 = AlphabeticNumbering.GetNumericRepresentation(n4);
            var n15 = AlphabeticNumbering.GetNumericRepresentation(n5);
            var n16 = AlphabeticNumbering.GetNumericRepresentation(n6);
            var n17 = AlphabeticNumbering.GetNumericRepresentation(n7);
            var n18 = AlphabeticNumbering.GetNumericRepresentation(n8);

            var list1 = new List <TruncatedDiscreteNormal>();
            var truncatedDiscreteNormalDistribution =
                new TruncatedDiscreteNormal(9, 11, Normal.WithMeanVariance(5.0, 2.0));

            list1.Add(truncatedDiscreteNormalDistribution);
            list1.Add(truncatedDiscreteNormalDistribution);
            list1.Add(truncatedDiscreteNormalDistribution);
            list1.Add(truncatedDiscreteNormalDistribution);
            var x5 = list1[1].Sample();

            Assert.True(true);
        }