ShouldBe
ShouldBeExamples works on all types and compares using .Equals.var theSimpsonsCat = new Cat { Name = "Santas little helper" };
theSimpsonsCat.Name.ShouldBe("Snowball 2");
Exception
theSimpsonsCat.Name
should be
"Snowball 2"
but was
"Santas little helper"
difference
Difference | | | | | | | | | | | | | | | | | | |
| \|/ \|/ \|/ \|/ \|/ \|/ \|/ \|/ \|/ \|/ \|/ \|/ \|/ \|/ \|/ \|/ \|/ \|/
Index | 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Expected Value | S n o w b a l l \s 2
Actual Value | S a n t a s \s l i t t l e \s h e l p e r
Expected Code | 83 110 111 119 98 97 108 108 32 50
Actual Code | 83 97 110 116 97 115 32 108 105 116 116 108 101 32 104 101 108 112 101 114
ShouldBe numeric overloads accept tolerances and has overloads for float, double and decimal types.const decimal pi = (decimal)Math.PI;
pi.ShouldBe(3.24m, 0.01m);
Exception
pi
should be within
0.01m
of
3.24m
but was
3.14159265358979m
DateTime overloads are similar to the numeric overloads and support tolerances.
var date = new DateTime(2000, 6, 1);
date.ShouldBe(new(2000, 6, 1, 1, 0, 1), TimeSpan.FromHours(1));
Exception
date
should be within
01:00:00
of
2000-06-01T01:00:01.0000000
but was
2000-06-01T00:00:00.0000000
TimeSpan also has tolerance overloads
var timeSpan = TimeSpan.FromHours(1);
timeSpan.ShouldBe(timeSpan.Add(TimeSpan.FromHours(1.1d)), TimeSpan.FromHours(1));
Exception
timeSpan
should be within
01:00:00
of
02:06:00
but was
01:00:00
Enumerable comparison is done on the elements in the enumerable, so you can compare an array to a list and have it pass.
var apu = new Person { Name = "Apu" };
var homer = new Person { Name = "Homer" };
var skinner = new Person { Name = "Skinner" };
var barney = new Person { Name = "Barney" };
var theBeSharps = new List<Person> { homer, skinner, barney };
theBeSharps.ShouldBe(new[] { apu, homer, skinner, barney });
Exception
theBeSharps
should be
[Apu, Homer, Skinner, Barney]
but was
[Homer, Skinner, Barney]
difference
[*Homer*, *Skinner*, *Barney*, *]
If you have enumerables of
float, decimal or double types then you can use the tolerance overloads, similar to the value extensions.var firstSet = new[] { 1.23m, 2.34m, 3.45001m };
var secondSet = new[] { 1.4301m, 2.34m, 3.45m };
firstSet.ShouldBe(secondSet, 0.1m);
Exception
firstSet
should be within
0.1m
of
[1.4301m, 2.34m, 3.45m]
but was
[1.23m, 2.34m, 3.45001m]
difference
[*1.23m*, 2.34m, *3.45001m*]
const bool myValue = false;
myValue.ShouldBe(true, "Some additional context");
Exception
myValue
should be
True
but was
False
Additional Info:
Some additional context
Last modified 5mo ago