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FrequencyAnalysis_Tests.cs
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171 lines (140 loc) · 5.31 KB
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using System;
using System.Collections.Generic;
using System.Linq;
using NUnit.Framework;
namespace TextAnalysis
{
[TestFixture]
public class FrequencyAnalysis_Tests
{
[Test]
[Order(00)]
public void ReturnEmptyDictionary_OnEmptyText()
{
var text = "";
var parsedText = ParseText(text);
var expected = new Dictionary<string, string>();
var actual = FrequencyAnalysis.GetMostFrequentNextWords(parsedText);
AssertResult(expected, actual, text);
}
[Test]
[Order(01)]
public void ReturnEmptyDictionary_OnTextWithOneSentenceWithOneWord()
{
var text = "abc";
var parsedText = ParseText(text);
var expected = new Dictionary<string, string>();
var actual = FrequencyAnalysis.GetMostFrequentNextWords(parsedText);
AssertResult(expected, actual, text);
}
[Test]
[Order(02)]
public void ReturnCorrectResult_OnTextWithOneSentenceWithTwoWords()
{
var text = "x y";
var parsedText = ParseText(text);
var expected = new Dictionary<string, string>
{
{"x", "y"}
};
var actual = FrequencyAnalysis.GetMostFrequentNextWords(parsedText);
AssertResult(expected, actual, text);
}
[Test]
[Order(03)]
public void ReturnCorrectResult_OnTextWithOneSentenceWithMultipleWords()
{
var text = "x y z";
var parsedText = ParseText(text);
var expected = new Dictionary<string, string>
{
{"x", "y"},
{"y", "z"},
{"x y", "z"}
};
var actual = FrequencyAnalysis.GetMostFrequentNextWords(parsedText);
AssertResult(expected, actual, text);
}
[Test]
[Order(04)]
public void ReturnCorrectResult_OnTextWithTwoSentencesWithOneWord()
{
var text = "x.y";
var parsedText = ParseText(text);
var expected = new Dictionary<string, string>();
var actual = FrequencyAnalysis.GetMostFrequentNextWords(parsedText);
AssertResult(expected, actual, text);
}
[Test]
[Order(05)]
public void ReturnResult_WithMostFrequentBigrams([Values("x y. x z. x y.", "x z. x y. x y", "x y. x y.", "x y")]
string text)
{
var parsedText = ParseText(text);
var expected = new Dictionary<string, string>
{
{"x", "y"}
};
var actual = FrequencyAnalysis.GetMostFrequentNextWords(parsedText);
AssertResult(expected, actual, text);
}
[Test]
[Order(06)]
public void ReturnResult_WithLexicographicallyFirstBigram_IfBigramsHaveSameFrequency(
[Values("x y. x z.", "x z. x y.", "x y. x yy.", "x yy. x y")]
string text)
{
var parsedText = ParseText(text);
var expected = new Dictionary<string, string>
{
{"x", "y"}
};
var actual = FrequencyAnalysis.GetMostFrequentNextWords(parsedText);
AssertResult(expected, actual, text);
}
[Test]
[Order(50)]
public void IgnoreSentencesWithSingleWord([Values("x. ax. y. z")] string text)
{
var parsedText = ParseText(text);
var expected = new Dictionary<string, string>();
var actual = FrequencyAnalysis.GetMostFrequentNextWords(parsedText);
AssertResult(expected, actual, text);
}
[Test]
[Order(60)]
public void ReturnPairForEveryBigram([Values("x y. y z.", "y z. x y.")] string text)
{
var parsedText = ParseText(text);
var expected = new Dictionary<string, string>
{
{"x", "y"},
{"y", "z"}
};
var actual = FrequencyAnalysis.GetMostFrequentNextWords(parsedText);
AssertResult(expected, actual, text);
}
// Упрощённый парсинг текста
public List<List<string>> ParseText(string text)
{
return text.Split('.')
.Select(sentence => sentence.Split(new[] { ' ' }, StringSplitOptions.RemoveEmptyEntries).ToList())
.ToList();
}
public static void AssertResult(
Dictionary<string, string> expected,
Dictionary<string, string> actual,
string text)
{
foreach (var key in expected.Keys)
{
if (!actual.ContainsKey(key))
Assert.Fail($"Input text: [{text}]\nMissing expected key [{key}] in dictionary");
Assert.AreEqual(expected[key], actual[key], $"Input text: [{text}]\nWrong value for key [{key}]");
}
foreach (var key in actual.Keys)
if (!expected.ContainsKey(key))
Assert.Fail($"Input text: [{text}]\nKey [{key}] should not be in dictionary");
}
}
}