https://www.buraksenyurt.com/Burak Selim Şenyurt - C# 7.02017-04-10T07:46:19+00:00Matematik Mühendisi Bir Bilgisayar Programcısının NotlarıBurak Selim SenyurtBlogEngine.Net Syndication Generatorhttps://www.buraksenyurt.com/opml.axdBurak Selim SenyurtMatematik Mühendisi Bir Bilgisayar Programcısının Notlarıtr-TRBurak Selim Şenyurt0.0000000.000000https://www.buraksenyurt.com/post/tek-fotoluk-ipucu-155-c-7-0-tuple-iyilestirmeleriTek Fotoluk İpucu 155 - C# 7.0 Tuple İyileştirmeleri2017-04-09T21:42:00+00:00bsenyurt<p>Merhaba Arkadaşlar,</p>
<p>C# 7.0 tarafında geliştiricileri mutlu eden iyileştirmelerden birisi de Tuple tipi ile ilgili. Klasik olarak bir tip tanımı yapmamıza ihtiyaç duymadan özellikle metodlardan dönüş yaptığımız noktalarda faydalanabildiğimiz generic Tuple tipinin en büyük handikapı, üye isilmendirmeleri. Aşağıdaki kod parçasında bu durumu açık bir şekilde görebiliriz.</p>
<pre class="brush:csharp;auto-links:false;toolbar:false" contenteditable="false">using System;
namespace Classics
{
class Program
{
static void Main(string[] args)
{
var result = Calculate(8.2, 4.6);
Console.WriteLine("{0},{1},{2},{3}",
result.Item1,
result.Item2,
result.Item3,
result.Item4
);
}
static Tuple<double, double, double, double> Calculate(double x, double y)
{
return new Tuple<double, double, double, double>(
x+y,
x-y,
x*y,
x/y
);
}
}
}</pre>
<p>Calculate isimli kobay metodumuz x ve y değişkenleri için 4 işlem yapıp sonuçları bir Tuple tipi ile geri döndürmekte. Hoşa gitmeyen nokta bu alanlara Item1,Item2,Item3 ve Item4 gibi isimlerle erişiyor olmamız. Normalde bir sınıf yazdığımızda özellik adları ile içeriğine erişmek isteriz. Üstelik bu kullanımda geliştirici dostu pek çok dildeki yazım stilinden uzak bir tanımlama şekli söz konusu<em>(Biraz Ruby, biraz Python, az biraz Go yazınca göze hoş gelen pratik sytnax'lara alışıyor insan)</em> Peki C# 7.0 tarafında Tuple tipi için ne gibi yenilikler söz konusu. Aşağıdaki fotoğrafta bir kısmını görebilirsiniz.</p>
<p><img src="https://www.buraksenyurt.com/image.axd?picture=/2017/03/tfi155_1.gif" alt="" /></p>
<p>İlk göze çarpan muhtemelen Tuple diye bir anahtar kelime kullanmıyor oluşumuzdur. codes'a string türde iki değeri olan bir tuple atamaktayız. Alan adlarını belirtmediğimizden ilgili değerlere codes .Item1 ve codes.Item2 şeklinde erişebiliriz. cCodes'un tanımlanmasında ise xCode ve yCode isimli alanları içeren bir Tuple tipi söz konusudur. Dilersek ItemN adlarını eşitliğin sağ tarafında değişken değerleri verirken de belirtebiliriz. mCodes değişkeni için bu tip bir kullanım gerçekleştirilmektedir. Calculate metodu sum,dif,mul ve div isimli alan adlarını içeren bir Tuple döndürmektedir. Dikkat edilmesi gereken nokta Calculate metodunun Tuple örneğini nasıl döndürdüğüdür. result değişkenine atanan nesne örneği üzerinden sum,dif,mul ve div isimli öğelere de erişilmiştir. </p>
<p>C# 7.0 da Tuple ile ismi anılan bir diğer kavram da Deconstruct metodudur. Bu yetenek sayesinde bir nesne örneğinin doğrudan bir Tuple tipine atanıp kullanılabilmesi mümkündür. Aşağıdaki fotoğrafı inceleyelim.</p>
<p><img src="https://www.buraksenyurt.com/image.axd?picture=/2017/03/tfi155_2.gif" alt="" /></p>
<p>Product sınıfında Deconstruct isimli bir metod tanımlanmıştır. Metodda out ile belirtilen parametrelere sınıfın ProductId ve Title özelliklerinin değerleri atanmıştır. Main metodunda box isimli değişken de bu parametre yapısına uygun bir Tuple'a atanmıştır. Yani bir sınıf örneğinin Tuple türüne nasıl atanabileceğini belirtebiliriz.</p>
<p>Böylece geldik bir ipucumuzun daha sonuna. Tekrardan görüşünceye dek hepinize mutlu günler dilerim.</p>2017-04-09T21:42:00+00:00c# 7.0tupletuple<>deconstructionbsenyurtC# 7.0 tarafında geliştiricileri mutlu eden iyileştirmelerden birisi de Tuple tipi ile ilgili. Klasik olarak bir tip tanımı yapmamıza ihtiyaç duymadan özellikle metodlardan dönüş yaptığımız noktalarda faydalanabildiğimiz generic Tuple tipinin en büyük handikapı üye isimlendirmesiydi. Aşağıdaki kod parçasında bu durumu görebilirsiniz.https://www.buraksenyurt.com/pingback.axdhttps://www.buraksenyurt.com/post.aspx?id=33e28d23-65c7-4433-8d23-0e21fa46574b0https://www.buraksenyurt.com/trackback.axd?id=33e28d23-65c7-4433-8d23-0e21fa46574bhttps://www.buraksenyurt.com/post/tek-fotoluk-ipucu-155-c-7-0-tuple-iyilestirmeleri#commenthttps://www.buraksenyurt.com/syndication.axd?post=33e28d23-65c7-4433-8d23-0e21fa46574bhttps://www.buraksenyurt.com/post/tek-fotoluk-ipucu-154-c-7-0-out-iyilestirmesiTek Fotoluk İpucu 154 - C# 7.0 out İyileştirmesi2017-03-19T21:45:00+00:00bsenyurt<p>Merhaba Arkadaşlar,</p>
<p>Henüz C# 6.0'ın nimetlerini şirket projelerinde deneyimleme fırsatı bulamamışken yakın zamanda çıkan Visual Studio 2017 ile birlikte gündeme oturan C# 7.0 kabiliyetlerini yeni yeni keşfetmeye başlıyorum. C# 7.0 tarafında da epey yenilik var. Bunlardan birisi de özellikle out anahtar kelimesinin kullanımına yönelik. En yaygın senaryo string bir içeriğin sayısal tipe dönüştürülmesi sırasında TryParse fonksiyonunun kullanılması. Normal şartlarda aşağıdaki kod parçasındaki gibi gerçekleştirdiğimiz bir operasyon bu.</p>
<pre class="brush:csharp;auto-links:false;toolbar:false" contenteditable="false">using System;
namespace Classics
{
class Program
{
static void Main(string[] args)
{
string input=string.Empty;
while((input = Console.ReadLine()).ToUpper()!="X")
{
int number;
if (Int32.TryParse(input, out number))
{
Console.WriteLine("\t{0}",number);
}
else
{
Console.WriteLine("Parse error!");
}
};
}
}
}</pre>
<p><img src="https://www.buraksenyurt.com/image.axd?picture=/2017/03/tfi154_1.gif" alt="" /></p>
<p>Örnekte Int32 tipinin TryParse metodu ile bir dönüştürme işlemi yapılmakta. TryParse bilindiği üzere string olarak gelen ilk parametreyi uygulandığı tipe dönüştürebilirse ikinci parametrede çıktı olarak veriyor. Bu teknikte out ile dışarıya verilecek değişkenin de önceden tanımlanmış olması gerekiyor. C# 7.0 da bu zorunluluk kaldırılmış durumda. Ne yazık ki şirket bilgisayarıma Visual Studio 2017'yi henüz yükletemedim. Güvenliğin önce bir bakması gerkiyormuşmuş. Ama çaresiz değiliz.<a href="https://dotnetfiddle.net/" target="_blank"> Bu adresteki online derleyici</a> pekala iş görüyor. Üzerindeki Rosyln derleyicisi sayesinde yeni dil özelliklerini deneme fırsatım oldu. Şimdi out kullanımına ilişkin bir kaç örnek yapalım.</p>
<p><img src="https://www.buraksenyurt.com/image.axd?picture=/2017/03/tfi154_3.gif" alt="" /></p>
<p>Calculate fonksiyonu iki sayının toplamını ve farkını hesap edip out parametresi olarak geriye döndürmekte. Main metodundaki kullanım dikkatinizi çekmiştir. total ve dif isimli değişkenleri çağrım öncesi tanımlamış değiliz. Daha yaygın bir örnekle devam edelim.</p>
<p><img src="data:image/png;base64,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" alt="" /></p>
<p>TryParse metodunda out değişkenini kullanırken yine number isimli değişkeni önceden tanımlamadığımızı fark etmişsinizdir. Aslında out kullanımı sırasında değişken tipini belirtmek zorunda değiliz. Yani var tipinde bir tanımlama da mümkün. Aşağıdaki ekran görüntüsünde olduğu gibi.</p>
<p><img src="https://www.buraksenyurt.com/image.axd?picture=/2017/03/tfi154_5.gif" alt="" /></p>
<p>Son olarak bir if bloğu içerisinde out şeklinde belirtilen değişkeni blok dışında da kullanabileceğimizi ifade edelim.</p>
<p><img src="https://www.buraksenyurt.com/image.axd?picture=/2017/03/tfi154_6.gif" alt="" /></p>
<p>Böylece geldik bir ipucumuzun daha sonuna. Diğer C# 7.0 özelliklerini de öğrendikçe paylaşmaya çalışacağım. Tekrardan görüşünceye dek hepinize mutlu günler dilerim.</p>2017-03-19T21:45:00+00:00c# 7.0out variablestryparseoutbsenyurtHenüz C# 6.0'ın nimetlerini şirket projelerinde deneyimleme fırsatı bulamamışken yakın zaman çıkan Visual Studio 2017 ile birlikte gündeme oturan C# 7.0 kabiliyetlerini yeni yeni keşfetmeye başlıyorum. C# 7.0 tarafında epey yenilik var. Bunlardan birisi de özellikle TryParse operasyonlarında ele alınan out kullanımına yönelik. En yaygın senaryo string bir içeriğin sayısal tipe dönüştürülmesi sırasında TryParse fonksiyonunun kullanılması. Normal şartlarda aşağıdaki kod parçasındaki gibi gerçekleştirdiğimiz bir operasyon.https://www.buraksenyurt.com/pingback.axdhttps://www.buraksenyurt.com/post.aspx?id=cec0847f-7147-460d-9a53-3dee0d7e5a244https://www.buraksenyurt.com/trackback.axd?id=cec0847f-7147-460d-9a53-3dee0d7e5a24https://www.buraksenyurt.com/post/tek-fotoluk-ipucu-154-c-7-0-out-iyilestirmesi#commenthttps://www.buraksenyurt.com/syndication.axd?post=cec0847f-7147-460d-9a53-3dee0d7e5a24