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Alexander Nozik 2024-11-12 09:20:43 +03:00
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4
README.md
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@ -18,8 +18,8 @@
16. Стоит ли использовать scope функции везде, где это возможно. 16. Стоит ли использовать scope функции везде, где это возможно.
17. Чем отличается arrayListOf()` от `mutableListOf()`? 17. Чем отличается arrayListOf()` от `mutableListOf()`?
18. List в Kotlin всегда реализует List в Java при интеропе? 18. List в Kotlin всегда реализует List в Java при интеропе?
19. Можно ли сделать собствен карту get и set при помощи квадратных скобок? 19. Можно ли сделать собственную реализацию карты с get и set при помощи квадратных скобок?
20. В чем отличие forEach в стандартной библиотеке Котлин и Java? 20. В чем отличие forEach на карте в стандартной библиотеке Котлин и Java?
21. Как работают функции componentN? 21. Как работают функции componentN?
22. Почему в Котлин нет диапазонов для чисел с плавающей точкой? 22. Почему в Котлин нет диапазонов для чисел с плавающей точкой?
23. Какой оператор должен быть реализован типе для того, чтобы он стал делегатом? 23. Какой оператор должен быть реализован типе для того, чтобы он стал делегатом?

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notebooks/Idioms.ipynb
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notebooks/Kotlin design patterns.ipynb
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notebooks/Multitasking.ipynb Normal file
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{
"cells": [
{
"cell_type": "code",
"source": [
"%use coroutines"
],
"metadata": {
"datalore": {
"node_id": "Al3t64xqN0DN3JmLKHOVn2",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "markdown",
"source": "# Три оси многозадачности"
},
{
"cell_type": "markdown",
"source": "### Синхронный х однопоточный х неконкурентный ",
"attachments": {},
"metadata": {
"datalore": {
"node_id": "TawmM9V8by8RGHfhNv7D3m",
"type": "MD",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
}
},
{
"cell_type": "code",
"source": [
"repeat(10){\n",
" println(\"Line number $it\")\n",
"}"
],
"metadata": {
"datalore": {
"node_id": "XzjwoelmODMg8pmaJRe1KK",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "code",
"source": [
"import java.util.stream.*\n",
"\n",
"IntStream.range(0, 100).sum()"
],
"metadata": {
"datalore": {
"node_id": "UuTmCNAMCpUAHaAwWVYJPy",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
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{
"cell_type": "markdown",
"source": "### Синхронный х однопоточный х конкурентный",
"attachments": {},
"metadata": {
"datalore": {
"node_id": "f6DGHwBOIRvKuYjtxVRn0W",
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"hide_output_from_viewers": true
}
}
},
{
"cell_type": "code",
"source": [
"val list = (0..100).toMutableList()\n",
"\n",
"list.forEach{\n",
" if(it % 2 == 0) list.remove(it)\n",
"}"
],
"metadata": {
"datalore": {
"node_id": "O1DPfMSAedOChaqU5JWXrU",
"type": "CODE",
"hide_input_from_viewers": true,
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{
"cell_type": "code",
"source": [],
"metadata": {
"datalore": {
"node_id": "N3QIwvANEngnvMgsCVJatN",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": "### Синхронный х многопоточный х неконкурентный",
"attachments": {},
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"datalore": {
"node_id": "x9nGAXOgOlWxd4cu6Smio8",
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}
},
{
"cell_type": "code",
"source": [
"val sum = IntStream.range(0, 100).parallel().sum()\n",
"\n",
"println(sum)"
],
"metadata": {
"datalore": {
"node_id": "lRJGB0cHhpjQTdRdGynG0G",
"type": "CODE",
"hide_input_from_viewers": true,
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{
"cell_type": "code",
"source": [],
"metadata": {
"datalore": {
"node_id": "1lLEGWWbB6qnFr1qjfSGpo",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
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},
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": "### Асинхронный х однопоточный х неконкурентный",
"attachments": {},
"metadata": {
"datalore": {
"node_id": "OTRLxfWLADkMoc9ViJfeEq",
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"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
}
},
{
"cell_type": "code",
"source": [
"fun runLongTask(result: Int = 8): Int {\n",
" Thread.sleep(100)\n",
" println(\"Task complete: $result\")\n",
" return result\n",
"}"
],
"metadata": {
"datalore": {
"node_id": "r1yVVtgMhexxzx7gGVmeIg",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "code",
"source": [
"import java.util.concurrent.*\n",
"\n",
"val executor = Executors.newSingleThreadExecutor()\n",
"\n",
"val future = executor.submit<Int> {\n",
" val result = runLongTask()\n",
" println(result)\n",
" result\n",
"}\n",
"\n",
"future.get()"
],
"metadata": {
"datalore": {
"node_id": "8YvIKfD1I7cfbiPRMpk0DC",
"type": "CODE",
"hide_input_from_viewers": true,
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"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": "### Асинхронный х однопоточный х конкурентный ",
"attachments": {},
"metadata": {
"datalore": {
"node_id": "nyjKPayaltq8gBzq2bIP1c",
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"hide_output_from_viewers": true
}
}
},
{
"cell_type": "code",
"source": [
"interface Observable{\n",
" fun onChange(callback: (Int) -> Unit)\n",
"}\n",
"\n",
"val observable: Observable by lazy{ TODO() }"
],
"metadata": {
"datalore": {
"node_id": "UreOIHJpXQYfkjeHOvf1Bq",
"type": "CODE",
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"hide_output_from_viewers": true
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},
"outputs": [],
"execution_count": null
},
{
"cell_type": "code",
"source": [
"val list: MutableList<Int> = mutableListOf<Int>()\n",
"\n",
"observable.onChange { \n",
" list.add(it)\n",
"}"
],
"metadata": {
"datalore": {
"node_id": "1in8iE7mL9m895XWUNh0Sl",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": "### Асинхронный х многопоточный х неконкурентный",
"attachments": {},
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"datalore": {
"node_id": "TczpOZrkCKogcT7x7XWAUT",
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"hide_output_from_viewers": true
}
}
},
{
"cell_type": "code",
"source": [],
"metadata": {
"datalore": {
"node_id": "YvgL8fFuneP9USjjnsfiQj",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "code",
"source": [
"val executor: ExecutorService = Executors.newFixedThreadPool(4)\n",
"\n",
"repeat(8){\n",
" executor.submit{\n",
" runLongTask(it)\n",
" }\n",
"}"
],
"metadata": {
"datalore": {
"node_id": "9NS1h5b5lJ0BEzieUt6xrr",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": "### Синхронный х многопоточный х конкурентный",
"attachments": {},
"metadata": {
"datalore": {
"node_id": "REBgToVc8iKIrODCWXPdZj",
"type": "MD",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
}
},
{
"cell_type": "code",
"source": [
"import kotlin.io.path.Path\n",
"import kotlin.io.path.writeText\n",
"\n",
"val file = Path(\"someFile.txt\")\n",
"\n",
"val data: List<String> = emptyList()\n",
"\n",
"data.stream()\n",
" .parallel()\n",
" .forEach { \n",
" file.writeText(it)\n",
" }"
],
"metadata": {
"datalore": {
"node_id": "3AjItM8WtjFE9qJo9JvZFW",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": "### Асинхронный х многопоточный х конкурентный",
"attachments": {},
"metadata": {
"datalore": {
"node_id": "XDCp5EjIq8v6ABeo5q2K6S",
"type": "MD",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
}
},
{
"cell_type": "code",
"source": [
"val cache = mutableMapOf<Int, Int>\n",
"\n",
"val consumer: (Int) -> Unit = TODO()\n",
"\n",
"\n",
"repeat(8){ i->\n",
" executor.submit{\n",
" val result = cache.getOrPut(i){\n",
" runLongTask(i)\n",
" }\n",
" consumer(result)\n",
" }\n",
"}"
],
"metadata": {
"datalore": {
"node_id": "taOKUd5Gc9U6TuGVFZJvew",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": [
"## Инструменты"
],
"attachments": {},
"metadata": {
"datalore": {
"node_id": "bSK4aInljsXYinbOTNSLdc",
"type": "MD",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
}
},
{
"cell_type": "markdown",
"source": [
"#### Thread"
],
"attachments": {},
"metadata": {
"datalore": {
"node_id": "qjWpglMy3eSM475ozgnDPA",
"type": "MD",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
}
},
{
"cell_type": "code",
"source": [
"import kotlin.concurrent.*\n",
"\n",
"val t = thread {\n",
" runLongTask()\n",
"}\n",
"t.join()"
],
"metadata": {
"datalore": {
"node_id": "nEZ6jKJhVHhsjMvptTQ3rU",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "code",
"source": [],
"metadata": {
"datalore": {
"node_id": "k35GcE4VUIMtrznZ0C3BmC",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": [
"#### Future"
],
"attachments": {},
"metadata": {
"datalore": {
"node_id": "bX0GaqyAH6q7Max0Tky7DW",
"type": "MD",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
}
},
{
"cell_type": "code",
"source": [
"val future = executor.submit<Int>{\n",
" runLongTask()\n",
"}\n",
"\n",
"future.get()\n",
"future.cancel(true)"
],
"metadata": {
"datalore": {
"node_id": "TVhCm0JtWiYFFqWYORxuya",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": [
"#### CompletableFuture"
],
"attachments": {},
"metadata": {
"datalore": {
"node_id": "a5BY9U8m9OeZSSsS0yGRSZ",
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"hide_input_from_viewers": true,
"hide_output_from_viewers": true
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}
},
{
"cell_type": "code",
"source": [
"import java.util.concurrent.*\n",
"\n",
"val cf = CompletableFuture.supplyAsync{\n",
" runLongTask()\n",
"}\n",
"\n",
"val cf2 = cf.whenComplete{ res, _ ->\n",
" runLongTask(res - 1)\n",
"}\n",
"\n",
"val cf3 = cf.whenComplete{ res, _ ->\n",
" runLongTask(res + 1)\n",
"}\n",
"\n",
"cf2.join()\n",
"cf3.join()"
],
"metadata": {
"datalore": {
"node_id": "2rchFZt5trGqzOCuU3aPvz",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": [
"#### Lock"
],
"attachments": {},
"metadata": {
"datalore": {
"node_id": "izHWuE5ZZo1hphjMmc7BHj",
"type": "MD",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
}
},
{
"cell_type": "code",
"source": [
"import java.util.concurrent.locks.*\n",
"\n",
"val list = mutableListOf<Int>()\n",
"val lock = ReentrantLock()\n",
"\n",
"val cf4 = CompletableFuture.supplyAsync{\n",
" val res = runLongTask(4)\n",
" lock.withLock { \n",
" list.add(res)\n",
" }\n",
"}\n",
"\n",
"val cf5 = CompletableFuture.supplyAsync{\n",
" val res = runLongTask(5)\n",
" lock.withLock { \n",
" list.add(res)\n",
" }\n",
"}\n",
"\n",
"cf4.join()\n",
"cf5.join()\n",
"\n",
"list"
],
"metadata": {
"datalore": {
"node_id": "JTXxcGnvTS36OVX6GkJfkK",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Reactive streams"
},
{
"metadata": {},
"cell_type": "code",
"source": [
"class A(val value: Int)\n",
"class B(val value: Int)\n",
"\n",
"val aFlow = flowOf<A>()\n",
"val bFlow = flowOf<B>()\n",
"\n",
"val combined = aFlow.zip(bFlow){ a, b->\n",
" a.value + b.value\n",
"}.debounce(2.seconds)"
],
"outputs": [],
"execution_count": null
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Actor"
},
{
"metadata": {},
"cell_type": "code",
"source": [
"sealed class Event {\n",
" class Open(val transactionId: Int): Event()\n",
" class Close(val tranactionId: Int): Event()\n",
"}\n",
"\n",
"fun interface Actor {\n",
" suspend fun receive(event: Event)\n",
"}\n",
"\n",
"val actor = object : Actor {\n",
" private var transaction: Int? = null\n",
" override suspend fun receive(event: Event) {\n",
" when (event) {\n",
" is Event.Open -> if (transaction != null) {\n",
" error(\"Transaction already open\")\n",
" } else {\n",
" transaction = event.transactionId\n",
" }\n",
" is Event.Close ->if (transaction != event.tranactionId) {\n",
" error(\"Wrong transaction id: ${event.tranactionId}\")\n",
" } else {\n",
" transaction = null\n",
" }\n",
" }\n",
" }\n",
"\n",
"}"
],
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": [
"## Сорта асинхронности"
],
"attachments": {},
"metadata": {
"datalore": {
"node_id": "YDqoXAD2XEED9MSPRuMMzL",
"type": "MD",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
}
},
{
"cell_type": "markdown",
"source": [
"#### Callback"
],
"attachments": {},
"metadata": {
"datalore": {
"node_id": "kb1ccsTMIZX3aacLF6gPrJ",
"type": "MD",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
}
},
{
"cell_type": "code",
"source": [
"import java.net.*\n",
"import java.net.http.*\n",
"import java.net.http.HttpResponse.*\n",
"\n",
"val client: HttpClient = HttpClient.newHttpClient()\n",
"\n",
"val request : HttpRequest = HttpRequest.newBuilder()\n",
" .uri(URI.create(\"https://sciprog.center\"))\n",
" .GET().build()\n",
"\n",
"val regex = \"\"\"href=\\\"(.+\\.png)\\\"\"\"\".toRegex()\n",
"\n",
"client.sendAsync(request, BodyHandlers.ofString())\n",
" .thenApply{ it.body() }\n",
" .thenApply{ \n",
" val resources = regex.findAll(it).map{it.groupValues[1]}\n",
"\n",
" resources.forEach { resourceName->\n",
" val resourceRequest : HttpRequest = HttpRequest.newBuilder()\n",
" .uri(URI.create(\"https://sciprog.center$resourceName\"))\n",
" .GET().build()\n",
" client.sendAsync(resourceRequest, BodyHandlers.ofByteArray()).thenAccept{ resourceResponse ->\n",
" val bodyBytes = resourceResponse.body()\n",
" //do something with the body\n",
" }\n",
" }\n",
" resources\n",
" }\n",
" .thenAccept{ println(it.toList()) }\n",
" .join()"
],
"metadata": {
"datalore": {
"node_id": "jZrkouEiPJnMCCpxTFlgVP",
"type": "CODE",
"hide_input_from_viewers": true,
"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
},
{
"cell_type": "markdown",
"source": [
"#### Реактивные потоки"
],
"attachments": {},
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"node_id": "7zwURNaHnaTgOTAZumDDcd",
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"cell_type": "code",
"source": [],
"metadata": {
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"node_id": "lPXl5Gkvu7CuhlhUV7YJab",
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"hide_output_from_viewers": true
}
},
"outputs": [],
"execution_count": null
}
],
"metadata": {
"kernelspec": {
"display_name": "Kotlin",
"language": "kotlin",
"name": "kotlin"
},
"datalore": {
"computation_mode": "JUPYTER",
"package_manager": "pip",
"base_environment": "default",
"packages": [],
"report_row_ids": [],
"version": 3
}
},
"nbformat": 4,
"nbformat_minor": 4
}