diff --git a/.gitignore b/.gitignore
deleted file mode 100644
index 326cc2c9f..000000000
--- a/.gitignore
+++ /dev/null
@@ -1,49 +0,0 @@
-# Ignore Gradle project-specific cache directory
-.gradle
-
-# Ignore Gradle build output directory
-build
-
-.idea
-
-# Compiled source #
-###################
-*.com
-*.class
-*.dll
-*.exe
-*.o
-*.so
-
-# Packages #
-############
-# it's better to unpack these files and commit the raw source
-# git has its own built in compression methods
-*.7z
-*.dmg
-*.gz
-*.iso
-*.jar
-*.rar
-*.tar
-*.zip
-
-# Logs and databases #
-######################
-*.log
-*.sql
-*.sqlite
-
-# OS generated files #
-######################
-.DS_Store
-.DS_Store?
-._*
-.Spotlight-V100
-.Trashes
-ehthumbs.db
-Thumbs.db
-
-# Ignoring database #
-######################
-db
diff --git a/build.gradle b/build.gradle
deleted file mode 100644
index c0d11cf4a..000000000
--- a/build.gradle
+++ /dev/null
@@ -1,76 +0,0 @@
-plugins {
-    id 'java'
-    id 'application'
-    id 'net.ltgt.errorprone' version '3.1.0'
-    id 'checkstyle'
-}
-
-java {
-    sourceCompatibility = JavaVersion.VERSION_21
-    targetCompatibility = JavaVersion.VERSION_21
-}
-
-configurations.checkstyle {
-    resolutionStrategy.capabilitiesResolution.withCapability("com.google.collections:google-collections") {
-        select("com.google.guava:guava:0")
-    }
-}
-
-repositories {
-    mavenCentral()
-}
-
-dependencies {
-    // Checks
-    errorprone 'com.google.errorprone:error_prone_core:2.15.0'
-    checkstyle 'com.puppycrawl.tools:checkstyle:10.13.0'
-
-    // Errorprone annotations for solve with warnings
-    implementation group: 'com.google.errorprone', name: 'error_prone_annotations', version: '2.15.0'
-
-    // Logging
-    implementation 'org.slf4j:slf4j-api:2.0.11'
-    implementation 'ch.qos.logback:logback-classic:1.4.14'
-    // As one-nio uses log4j directly
-    implementation 'org.slf4j:log4j-over-slf4j:2.0.11'
-
-    // Annotations for better code documentation
-    implementation 'com.google.code.findbugs:jsr305:3.0.2'
-
-    // Our beloved one-nio
-    implementation 'ru.odnoklassniki:one-nio:1.7.1'
-
-    // JUnit Jupiter test framework
-    testImplementation 'org.junit.jupiter:junit-jupiter-api:5.10.1'
-    testImplementation 'org.junit.jupiter:junit-jupiter-params:5.10.1'
-    testRuntimeOnly 'org.junit.jupiter:junit-jupiter-engine:5.10.1'
-}
-
-test {
-    maxHeapSize = "128m"
-    useJUnitPlatform()
-    jvmArgs += ["--enable-preview"]
-}
-
-checkstyle {
-    configFile = new File("checkstyle.xml")
-    checkstyleTest.enabled = false
-}
-
-compileJava {
-    options.compilerArgs += ["--enable-preview"]
-
-    // Enforce errors
-    options.compilerArgs += ["-Werror"]
-}
-
-compileTestJava {
-    options.compilerArgs += ["--enable-preview"]
-}
-
-application {
-    mainClass = 'ru.vk.itmo.test.reference.ReferenceService'
-    applicationDefaultJvmArgs = ['-Xmx128m', '--enable-preview', '-Xlog:gc']
-    // + ['-XX:+UseSerialGC']
-//
-}
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/ChunkedResponse.java b/src/main/java/ru/vk/itmo/test/osokindm/ChunkedResponse.java
new file mode 100644
index 000000000..fdcf981f6
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/ChunkedResponse.java
@@ -0,0 +1,26 @@
+package ru.vk.itmo.test.osokindm;
+
+import one.nio.http.Response;
+import ru.vk.itmo.test.osokindm.dao.Entry;
+
+import java.lang.foreign.MemorySegment;
+import java.util.Iterator;
+
+public class ChunkedResponse extends Response {
+
+    private static final String CHUNKED_HEADER = "Transfer-Encoding: chunked";
+    private static final String CONTENT_TYPE_HEADER = "Content-Type: result-range";
+    private final Iterator<Entry<MemorySegment>> rangeResult;
+
+    public ChunkedResponse(String resultCode, Iterator<Entry<MemorySegment>> rangeResult) {
+        super(resultCode);
+        super.addHeader(CHUNKED_HEADER);
+        super.addHeader(CONTENT_TYPE_HEADER);
+        this.rangeResult = rangeResult;
+    }
+
+    public Iterator<Entry<MemorySegment>> getResultIterator() {
+        return rangeResult;
+    }
+
+ }
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/CustomHttpSession.java b/src/main/java/ru/vk/itmo/test/osokindm/CustomHttpSession.java
new file mode 100644
index 000000000..57a1e78e1
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/CustomHttpSession.java
@@ -0,0 +1,59 @@
+package ru.vk.itmo.test.osokindm;
+
+import one.nio.http.HttpServer;
+import one.nio.http.HttpSession;
+import one.nio.http.Response;
+import one.nio.net.Socket;
+import ru.vk.itmo.test.osokindm.dao.Entry;
+
+import java.io.IOException;
+import java.lang.foreign.MemorySegment;
+import java.lang.foreign.ValueLayout;
+import java.nio.ByteBuffer;
+import java.nio.charset.StandardCharsets;
+import java.util.Iterator;
+
+public class CustomHttpSession extends HttpSession {
+
+    private static final byte[] CHUNK_SEPARATOR = "\r\n".getBytes(StandardCharsets.UTF_8);
+    private static final byte[] DELIMITER = "\n".getBytes(StandardCharsets.UTF_8);
+    private static final byte[] ZERO = "0".getBytes(StandardCharsets.UTF_8);
+
+    public CustomHttpSession(Socket socket, HttpServer server) {
+        super(socket, server);
+    }
+
+    @Override
+    protected void writeResponse(Response response, boolean includeBody) throws IOException {
+        if (response instanceof ChunkedResponse) {
+            super.writeResponse(response, false);
+            Iterator<Entry<MemorySegment>> iterator = ((ChunkedResponse) response).getResultIterator();
+            while (iterator.hasNext()) {
+                writeChunk(iterator.next());
+            }
+
+            super.write(ZERO, 0, ZERO.length);
+            super.write(CHUNK_SEPARATOR, 0, CHUNK_SEPARATOR.length);
+            super.write(CHUNK_SEPARATOR, 0, CHUNK_SEPARATOR.length);
+            super.close();
+        } else {
+            super.writeResponse(response, includeBody);
+        }
+    }
+
+    private void writeChunk(Entry<MemorySegment> entry) throws IOException {
+        byte[] keyBytes = entry.key().toArray(ValueLayout.JAVA_BYTE);
+        byte[] valueBytes = entry.value().toArray(ValueLayout.JAVA_BYTE);
+        int entryLength = keyBytes.length + valueBytes.length + DELIMITER.length;
+        ByteBuffer buffer = ByteBuffer.allocate(Integer.BYTES + entryLength + CHUNK_SEPARATOR.length * 2);
+        buffer.put(Integer.toHexString(entryLength).getBytes(StandardCharsets.UTF_8));
+        buffer.put(CHUNK_SEPARATOR);
+        buffer.put(entry.key().toArray(ValueLayout.JAVA_BYTE));
+        buffer.put(DELIMITER);
+        buffer.put(entry.value().toArray(ValueLayout.JAVA_BYTE));
+        buffer.put(CHUNK_SEPARATOR);
+
+        super.write(buffer.array(), 0, buffer.position());
+    }
+
+}
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/DaoWrapper.java b/src/main/java/ru/vk/itmo/test/osokindm/DaoWrapper.java
index 16ac7e602..329aed667 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/DaoWrapper.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/DaoWrapper.java
@@ -1,14 +1,15 @@
 package ru.vk.itmo.test.osokindm;
 
 import one.nio.http.Request;
-import ru.vk.itmo.dao.BaseEntry;
 import ru.vk.itmo.dao.Config;
-import ru.vk.itmo.dao.Entry;
+import ru.vk.itmo.test.osokindm.dao.BaseEntry;
+import ru.vk.itmo.test.osokindm.dao.Entry;
 import ru.vk.itmo.test.osokindm.dao.ReferenceDao;
 
 import java.io.IOException;
 import java.lang.foreign.MemorySegment;
 import java.nio.charset.StandardCharsets;
+import java.util.Iterator;
 
 public class DaoWrapper {
 
@@ -23,15 +24,21 @@ public Entry<MemorySegment> get(String id) {
         return storage.get(key);
     }
 
-    public void delete(String id) {
+    public Iterator<Entry<MemorySegment>> get(String start, String end) {
+        MemorySegment startKey = getMemorySegment(start);
+        MemorySegment endKey = getMemorySegment(end);
+        return storage.get(startKey, endKey);
+    }
+
+    public void delete(String id, long timestamp) {
         MemorySegment key = getMemorySegment(id);
-        storage.upsert(new BaseEntry<>(key, null));
+        storage.upsert(new BaseEntry<>(key, null, timestamp));
     }
 
-    public void upsert(String id, Request request) {
+    public void upsert(String id, Request request, long timestamp) {
         MemorySegment key = getMemorySegment(id);
         MemorySegment value = getMemorySegment(request.getBody());
-        storage.upsert(new BaseEntry<>(key, value));
+        storage.upsert(new BaseEntry<>(key, value, timestamp));
     }
 
     public void stop() throws IOException {
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/HttpServerImpl.java b/src/main/java/ru/vk/itmo/test/osokindm/HttpServerImpl.java
index 48dce6d25..3525bb455 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/HttpServerImpl.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/HttpServerImpl.java
@@ -5,6 +5,8 @@
 import one.nio.http.HttpSession;
 import one.nio.http.Request;
 import one.nio.http.Response;
+import one.nio.net.Socket;
+import one.nio.server.RejectedSessionException;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
@@ -18,6 +20,7 @@
 public class HttpServerImpl extends HttpServer {
 
     private static final String ID_REQUEST = "id=";
+    private static final String START_REQUEST = "start=";
     private static final long KEEP_ALIVE_TIME = 60L;
     private static final Logger LOGGER = LoggerFactory.getLogger(HttpServerImpl.class);
     private final ThreadPoolExecutor requestWorkers;
@@ -34,6 +37,11 @@ public HttpServerImpl(HttpServerConfig config) throws IOException {
         requestWorkers.prestartAllCoreThreads();
     }
 
+    @Override
+    public HttpSession createSession(Socket socket) throws RejectedSessionException {
+        return new CustomHttpSession(socket, this);
+    }
+
     @Override
     public synchronized void stop() {
         super.stop();
@@ -52,7 +60,8 @@ public synchronized void stop() {
     @Override
     public void handleRequest(Request request, HttpSession session) {
         String id = request.getParameter(ID_REQUEST);
-        if (id == null || id.isEmpty()) {
+        String start = request.getParameter(START_REQUEST);
+        if ((id == null || id.isEmpty()) && (start == null || start.isEmpty())) {
             try {
                 handleDefault(request, session);
             } catch (IOException e) {
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/Node.java b/src/main/java/ru/vk/itmo/test/osokindm/Node.java
index 8bba4c547..d0b6a6c3b 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/Node.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/Node.java
@@ -3,9 +3,9 @@
 import java.util.concurrent.atomic.AtomicInteger;
 
 public class Node {
+    private static final int MAX_ERRORS = 10;
     public final String address;
     public final int name;
-    private static final int MAX_ERRORS = 10;
     private final AtomicInteger errors;
     private volatile boolean isAlive;
 
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/RendezvousRouter.java b/src/main/java/ru/vk/itmo/test/osokindm/RendezvousRouter.java
index d81b2f1d8..0893d7930 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/RendezvousRouter.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/RendezvousRouter.java
@@ -3,7 +3,9 @@
 import one.nio.util.Hash;
 
 import java.util.ArrayList;
+import java.util.Collections;
 import java.util.List;
+import java.util.TreeMap;
 
 public class RendezvousRouter {
 
@@ -32,4 +34,25 @@ public Node getNode(String key) {
         return maxHashNode;
     }
 
+    @SuppressWarnings("MixedMutabilityReturnType")
+    public List<Node> getNodes(String key, int nodeAmount) {
+        if (key == null) {
+            return Collections.emptyList();
+        }
+        TreeMap<Integer, Node> sortedNodes = new TreeMap<>();
+        for (Node node : nodes) {
+            int hash = Hash.murmur3(node.name + key);
+            sortedNodes.put(hash, node);
+        }
+        List<Node> selectedNodes = new ArrayList<>();
+        int nodesNeeded = nodeAmount;
+        for (Node node : sortedNodes.values()) {
+            if (nodesNeeded == 0) break;
+            selectedNodes.add(node);
+            nodesNeeded--;
+        }
+
+        return selectedNodes;
+    }
+
 }
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/RequestHandler.java b/src/main/java/ru/vk/itmo/test/osokindm/RequestHandler.java
new file mode 100644
index 000000000..4ced3af50
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/RequestHandler.java
@@ -0,0 +1,156 @@
+package ru.vk.itmo.test.osokindm;
+
+import one.nio.http.HttpSession;
+import one.nio.http.Request;
+import one.nio.http.Response;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import ru.vk.itmo.test.osokindm.dao.Entry;
+
+import java.io.IOException;
+import java.lang.foreign.MemorySegment;
+import java.lang.foreign.ValueLayout;
+import java.net.URI;
+import java.net.http.HttpClient;
+import java.net.http.HttpRequest;
+import java.net.http.HttpResponse;
+import java.util.List;
+import java.util.concurrent.CompletableFuture;
+import java.util.concurrent.ExecutionException;
+import java.util.concurrent.TimeoutException;
+import java.util.concurrent.atomic.AtomicInteger;
+
+public class RequestHandler {
+    private static final String TIMESTAMP_HEADER = "Request-timestamp";
+    private static final String TIMESTAMP_HEADER_LC = "request-timestamp";
+    private static final int EMPTY_TS = -1;
+    private static final Logger LOGGER = LoggerFactory.getLogger(HttpServerImpl.class);
+    private final HttpClient client;
+    private DaoWrapper daoWrapper;
+
+    public RequestHandler(HttpClient client) {
+        this.client = client;
+    }
+
+    public void setDaoWrapper(DaoWrapper daoWrapper) {
+        this.daoWrapper = daoWrapper;
+    }
+
+    public CompletableFuture<Response> processRequest(
+            Request request,
+            String id,
+            Node node,
+            long timestamp,
+            String selfUrl
+    ) {
+        if (node.address.equals(selfUrl)) {
+            return CompletableFuture.supplyAsync(
+                    () -> handleRequestLocally(request, id, timestamp)
+            );
+        } else {
+            return forwardRequestToNode(request, node, timestamp);
+        }
+    }
+
+    public static void sendResponse(HttpSession session, Response latestResponse, AtomicInteger failures) {
+        try {
+            session.sendResponse(latestResponse);
+        } catch (IOException e) {
+            logFailure(e.getMessage(), failures);
+        }
+    }
+
+    private static void logFailure(String e, AtomicInteger failures) {
+        failures.incrementAndGet();
+        LOGGER.error(e);
+    }
+
+    public Response handleRequestLocally(Request request, String id, long timestamp) {
+        switch (request.getMethod()) {
+            case Request.METHOD_GET -> {
+                Entry<MemorySegment> result = daoWrapper.get(id);
+                if (result == null) {
+                    return new Response(Response.NOT_FOUND, Response.EMPTY);
+                }
+
+                if (result.value() == null) {
+                    Response response = new Response(Response.NOT_FOUND, longToBytes(result.timestamp()));
+                    response.addHeader(TIMESTAMP_HEADER + ": " + result.timestamp());
+                    return response;
+                }
+                Response response = Response.ok(result.value().toArray(ValueLayout.JAVA_BYTE));
+                response.addHeader(TIMESTAMP_HEADER + ": " + result.timestamp());
+                return response;
+            }
+            case Request.METHOD_PUT -> {
+                daoWrapper.upsert(id, request, timestamp);
+                return new Response(Response.CREATED, Response.EMPTY);
+            }
+            case Request.METHOD_DELETE -> {
+                daoWrapper.delete(id, timestamp);
+                return new Response(Response.ACCEPTED, Response.EMPTY);
+            }
+            default -> {
+                return new Response(Response.METHOD_NOT_ALLOWED, Response.EMPTY);
+            }
+        }
+    }
+
+    private CompletableFuture<Response> forwardRequestToNode(Request request, Node node, long timestamp) {
+        try {
+            return makeProxyRequest(request, node.address, timestamp);
+        } catch (TimeoutException e) {
+            node.captureError();
+            LOGGER.error(node + " not responding", e);
+            return CompletableFuture.completedFuture(null);
+        } catch (InterruptedException e) {
+            Thread.currentThread().interrupt();
+            return CompletableFuture.completedFuture(null);
+
+        } catch (ExecutionException | IOException e) {
+            LOGGER.error(node + " not responding", e);
+            return CompletableFuture.completedFuture(null);
+
+        }
+    }
+
+    private CompletableFuture<Response> makeProxyRequest(Request request, String nodeAddress, long timestamp)
+            throws ExecutionException, InterruptedException, TimeoutException, IOException {
+        byte[] body = request.getBody();
+        if (body == null) {
+            body = Response.EMPTY;
+        }
+        HttpRequest proxyRequest = HttpRequest
+                .newBuilder(URI.create(nodeAddress + request.getURI()))
+                .header(TIMESTAMP_HEADER, String.valueOf(timestamp))
+                .method(request.getMethodName(),
+                        HttpRequest.BodyPublishers.ofByteArray(body))
+                .build();
+
+        return client
+                .sendAsync(proxyRequest, HttpResponse.BodyHandlers.ofByteArray())
+                .thenApply(this::processedResponse);
+    }
+
+    private Response processedResponse(HttpResponse<byte[]> response) {
+        List<String> tsHeaders = response.headers().map().get(TIMESTAMP_HEADER_LC);
+        long timestamp = (tsHeaders == null || tsHeaders.isEmpty()) ? EMPTY_TS : Long.parseLong(tsHeaders.getFirst());
+
+        if (response.body().length == 0 && timestamp == EMPTY_TS) {
+            return new Response(String.valueOf(response.statusCode()), Response.EMPTY);
+        }
+        Response processedResponse = new Response(String.valueOf(response.statusCode()), response.body());
+        processedResponse.addHeader(TIMESTAMP_HEADER + ": " + timestamp);
+        return processedResponse;
+    }
+
+    private static byte[] longToBytes(long l) {
+        byte[] result = new byte[Long.BYTES];
+        for (int i = Long.BYTES - 1; i >= 0; i--) {
+            result[i] = (byte) (l & 0xFF);
+            l >>= Byte.SIZE;
+        }
+        return result;
+    }
+
+}
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/ServiceImpl.java b/src/main/java/ru/vk/itmo/test/osokindm/ServiceImpl.java
index 4ca6ccd2b..c7a0db880 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/ServiceImpl.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/ServiceImpl.java
@@ -1,6 +1,7 @@
 package ru.vk.itmo.test.osokindm;
 
 import one.nio.http.HttpServerConfig;
+import one.nio.http.HttpSession;
 import one.nio.http.Param;
 import one.nio.http.Path;
 import one.nio.http.Request;
@@ -11,53 +12,70 @@
 import ru.vk.itmo.Service;
 import ru.vk.itmo.ServiceConfig;
 import ru.vk.itmo.dao.Config;
-import ru.vk.itmo.dao.Entry;
 import ru.vk.itmo.test.ServiceFactory;
+import ru.vk.itmo.test.osokindm.dao.Entry;
 
 import java.io.IOException;
 import java.lang.foreign.MemorySegment;
-import java.lang.foreign.ValueLayout;
-import java.net.URI;
+import java.net.HttpURLConnection;
 import java.net.http.HttpClient;
-import java.net.http.HttpRequest;
-import java.net.http.HttpResponse;
 import java.nio.charset.StandardCharsets;
 import java.time.Duration;
 import java.time.temporal.ChronoUnit;
+import java.util.Iterator;
+import java.util.List;
 import java.util.concurrent.CompletableFuture;
-import java.util.concurrent.ExecutionException;
+import java.util.concurrent.Executor;
 import java.util.concurrent.Executors;
 import java.util.concurrent.TimeoutException;
+import java.util.concurrent.atomic.AtomicBoolean;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.concurrent.atomic.AtomicLong;
+import java.util.concurrent.atomic.AtomicReference;
+
+import static java.lang.Math.floor;
+import static ru.vk.itmo.test.osokindm.RequestHandler.sendResponse;
 
 public class ServiceImpl implements Service {
 
     private static final int MEMORY_LIMIT_BYTES = 8 * 1024 * 1024;
     private static final int CONNECTION_TIMEOUT_MS = 250;
     private static final String DEFAULT_PATH = "/v0/entity";
+    private static final String RANGE_PATH = "/v0/entities";
+    private static final String TIMESTAMP_HEADER = "Request-timestamp";
+    private static final String WRONG_ACK = "wrong 'ack' value";
     private static final Logger LOGGER = LoggerFactory.getLogger(HttpServerImpl.class);
+    private static final Response badIdResponse
+            = new Response(Response.BAD_REQUEST, "Invalid id".getBytes(StandardCharsets.UTF_8));
+    private static final Response wrongAckResponse
+            = new Response(Response.BAD_REQUEST, WRONG_ACK.getBytes(StandardCharsets.UTF_8));
     private final ServiceConfig config;
+    private final Executor responseExecutor;
+    private final RequestHandler requestHandler;
     private RendezvousRouter router;
     private DaoWrapper daoWrapper;
     private HttpServerImpl server;
-    private final HttpClient client;
 
     public ServiceImpl(ServiceConfig config) {
         this.config = config;
-        client = HttpClient.newBuilder()
+        HttpClient client = HttpClient.newBuilder()
                 .connectTimeout(Duration.of(CONNECTION_TIMEOUT_MS, ChronoUnit.MILLIS))
                 .executor(Executors.newVirtualThreadPerTaskExecutor())
                 .build();
+        responseExecutor = Executors.newFixedThreadPool(Runtime.getRuntime().availableProcessors());
+        requestHandler = new RequestHandler(client);
     }
 
     @Override
     public CompletableFuture<Void> start() throws IOException {
         try {
             daoWrapper = new DaoWrapper(new Config(config.workingDir(), MEMORY_LIMIT_BYTES));
+            requestHandler.setDaoWrapper(daoWrapper);
             router = new RendezvousRouter(config.clusterUrls());
             server = new HttpServerImpl(createServerConfig(config.selfPort()));
             server.addRequestHandlers(this);
             server.start();
-            LOGGER.debug("Server started");
+            LOGGER.debug("Server started: " + config.selfUrl());
         } catch (IOException e) {
             LOGGER.error("Error occurred while starting the server");
             throw new IOException(e);
@@ -77,76 +95,161 @@ public CompletableFuture<Void> stop() {
     }
 
     @Path(DEFAULT_PATH)
-    public Response entity(Request request, @Param(value = "id", required = true) String id) throws TimeoutException {
+    public void entity(Request request, HttpSession session,
+                       @Param(value = "id", required = true) String id,
+                       @Param(value = "ack") Integer ackNumber,
+                       @Param(value = "from") Integer fromNumber) throws TimeoutException, IOException {
         if (id == null || id.isBlank()) {
-            return new Response(Response.BAD_REQUEST, "Invalid id".getBytes(StandardCharsets.UTF_8));
+            session.sendResponse(badIdResponse);
+            return;
         }
 
-        Node node = router.getNode(id);
-        if (!node.isAlive()) {
-            return new Response(Response.SERVICE_UNAVAILABLE, "Node is unavailable".getBytes(StandardCharsets.UTF_8));
+        if (handleTimestampHeader(request, session, id)) {
+            return;
         }
 
-        if (node.address.equals(config.selfUrl())) {
-            return handleRequestLocally(request, id);
+        int from = (fromNumber == null || fromNumber < 0) ? config.clusterUrls().size() : fromNumber;
+        int ack = (ackNumber == null || ackNumber < 0) ? calculateAck(from) : ackNumber;
+
+        if (ack > from || ack == 0) {
+            session.sendResponse(wrongAckResponse);
+            return;
         }
 
-        return forwardRequestToNode(request, node);
+        List<Node> targetNodes = router.getNodes(id, from);
+        dispatchRequestsToNodes(request, session, targetNodes, id, ack, from);
+    }
+
+    @Path(RANGE_PATH)
+    public void entities(HttpSession session,
+                         @Param(value = "start", required = true) String start,
+                         @Param(value = "end") String end) throws IOException {
+        if (start == null || start.isBlank()) {
+            session.sendResponse(badIdResponse);
+            return;
+        }
+
+        responseExecutor.execute(() -> {
+            Iterator<Entry<MemorySegment>> it = daoWrapper.get(start, end);
+
+            try {
+                session.sendResponse(new ChunkedResponse(Response.OK, it));
+            } catch (IOException e) {
+                LOGGER.error(e.getMessage());
+            }
+        });
+
     }
 
-    private Response forwardRequestToNode(Request request, Node node) {
+    private boolean handleTimestampHeader(Request request, HttpSession session, String id) throws IOException {
+        String timestamp = request.getHeader(TIMESTAMP_HEADER + ": ");
+        if (timestamp == null || timestamp.isBlank()) {
+            return false;
+        }
         try {
-            LOGGER.debug("Request has been forwarded to {}", node.address);
-            return makeProxyRequest(request, node.address);
-        } catch (TimeoutException | IOException e) {
-            node.captureError();
-            LOGGER.error(node + " not responding", e);
-            return new Response(Response.SERVICE_UNAVAILABLE, Response.EMPTY);
-        } catch (InterruptedException e) {
-            Thread.currentThread().interrupt();
-            return new Response(Response.SERVICE_UNAVAILABLE, Response.EMPTY);
-        } catch (ExecutionException e) {
-            LOGGER.error(node + " not responding", e);
-            return new Response(Response.INTERNAL_ERROR, Response.EMPTY);
+            long parsedTimestamp = Long.parseLong(timestamp);
+            session.sendResponse(requestHandler.handleRequestLocally(request, id, parsedTimestamp));
+        } catch (NumberFormatException e) {
+            session.sendResponse(new Response(Response.BAD_REQUEST, Response.EMPTY));
         }
+        return true;
     }
 
-    private Response handleRequestLocally(Request request, String id) {
-        switch (request.getMethod()) {
-            case Request.METHOD_GET -> {
-                Entry<MemorySegment> result = daoWrapper.get(id);
-                if (result != null && result.value() != null) {
-                    return Response.ok(result.value().toArray(ValueLayout.JAVA_BYTE));
-                }
-                return new Response(Response.NOT_FOUND, Response.EMPTY);
-            }
-            case Request.METHOD_PUT -> {
-                daoWrapper.upsert(id, request);
-                return new Response(Response.CREATED, Response.EMPTY);
-            }
-            case Request.METHOD_DELETE -> {
-                daoWrapper.delete(id);
-                return new Response(Response.ACCEPTED, Response.EMPTY);
-            }
-            default -> {
-                return new Response(Response.METHOD_NOT_ALLOWED, Response.EMPTY);
+    private void dispatchRequestsToNodes(
+            Request request,
+            HttpSession session,
+            List<Node> targetNodes,
+            String id,
+            Integer ack,
+            Integer from
+    ) {
+        AtomicInteger successes = new AtomicInteger();
+        AtomicInteger failures = new AtomicInteger();
+        AtomicLong responseTime = new AtomicLong();
+        AtomicReference<Response> latestResponse = new AtomicReference<>();
+        AtomicBoolean responseSent = new AtomicBoolean();
+
+        for (Node node : targetNodes) {
+            if (!node.isAlive()) {
+                LOGGER.info("node is unreachable: " + node.address);
             }
+            long timestamp = System.currentTimeMillis();
+            CompletableFuture<Response> futureResponse =
+                    requestHandler.processRequest(request, id, node, timestamp, config.selfUrl());
+
+            futureResponse
+                    .whenCompleteAsync((resp, ex) -> {
+                        if (resp == null) {
+                            unableToRespondCheck(session, failures, ack, from);
+                        } else {
+                            updateLatestResponse(resp, request.getMethod(), responseTime, latestResponse);
+                            if (canEarlyResponse(resp, successes, ack, responseSent)) {
+                                sendResponse(session, latestResponse.get(), failures);
+                            }
+                        }
+                    }, responseExecutor)
+                    .exceptionally(ex -> {
+                        logFailure(ex.getMessage(), failures);
+                        return null;
+                    });
+
         }
     }
 
-    private Response makeProxyRequest(Request request, String nodeAddress)
-            throws ExecutionException, InterruptedException, TimeoutException, IOException {
-        byte[] body = request.getBody();
-        if (body == null) {
-            body = Response.EMPTY;
+    private boolean canEarlyResponse(Response resp, AtomicInteger successes, Integer ack, AtomicBoolean responseSent) {
+        return responseIsGood(resp)
+                && successes.incrementAndGet() >= ack
+                && !responseSent.getAndSet(true);
+    }
+
+    private void unableToRespondCheck(HttpSession session, AtomicInteger failures, Integer ack, Integer from) {
+        if (failures.incrementAndGet() > from - ack) {
+            String message = "Not enough replicas responded";
+            LOGGER.info(message);
+            byte[] mes = message.getBytes(StandardCharsets.UTF_8);
+            sendResponse(session, new Response(Response.GATEWAY_TIMEOUT, mes), failures);
         }
-        HttpRequest proxyRequest = HttpRequest
-                .newBuilder(URI.create(nodeAddress + request.getURI()))
-                .method(request.getMethodName(),
-                        HttpRequest.BodyPublishers.ofByteArray(body))
-                .build();
-        HttpResponse<byte[]> httpResponse = client.send(proxyRequest, HttpResponse.BodyHandlers.ofByteArray());
-        return new Response(Integer.toString(httpResponse.statusCode()), httpResponse.body());
+    }
+
+    private boolean responseIsGood(Response response) {
+        // accepting all responses we can get from handleRequestLocally()
+        return response.getStatus() <= HttpURLConnection.HTTP_PARTIAL
+                || response.getStatus() == HttpURLConnection.HTTP_NOT_FOUND
+                || response.getStatus() == HttpURLConnection.HTTP_BAD_METHOD;
+    }
+
+    private void logFailure(String e, AtomicInteger failures) {
+        failures.incrementAndGet();
+        LOGGER.error(e);
+    }
+
+    private long extractTimestampFromResponse(Response response) {
+        String timestamp = response.getHeaders()[2];
+        if (timestamp == null) {
+            return -1;
+        }
+        String timestampValue = timestamp.substring(TIMESTAMP_HEADER.length() + 2).trim();
+        return Long.parseLong(timestampValue);
+    }
+
+    private void updateLatestResponse(
+            Response response,
+            int method,
+            AtomicLong responseTime,
+            AtomicReference<Response> latestResponse
+    ) {
+        latestResponse.compareAndSet(null, response);
+        if (method == Request.METHOD_GET) {
+            long timestamp = extractTimestampFromResponse(response);
+            long currentResponseTime;
+            do {
+                currentResponseTime = responseTime.get();
+                if (timestamp <= currentResponseTime) {
+                    return;
+                }
+            } while (!responseTime.compareAndSet(currentResponseTime, timestamp));
+        }
+        latestResponse.set(response);
     }
 
     private static HttpServerConfig createServerConfig(int port) {
@@ -160,9 +263,15 @@ private static HttpServerConfig createServerConfig(int port) {
         return serverConfig;
     }
 
-    @ServiceFactory(stage = 3)
-    public static class Factory implements ServiceFactory.Factory {
+    private static int calculateAck(int clusterSize) {
+        if (clusterSize <= 2) {
+            return clusterSize;
+        }
+        return (int) floor(clusterSize * 0.75);
+    }
 
+    @ServiceFactory(stage = 6)
+    public static class Factory implements ServiceFactory.Factory {
         @Override
         public Service create(ServiceConfig config) {
             return new ServiceImpl(config);
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/TestServer.java b/src/main/java/ru/vk/itmo/test/osokindm/TestServer.java
index 7dbbe5f62..e14ddca3d 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/TestServer.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/TestServer.java
@@ -3,22 +3,51 @@
 import ru.vk.itmo.ServiceConfig;
 
 import java.io.IOException;
+import java.nio.file.Files;
 import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.util.ArrayList;
+import java.util.HashMap;
 import java.util.List;
+import java.util.Map;
 import java.util.concurrent.ExecutionException;
+import java.util.concurrent.TimeUnit;
+import java.util.concurrent.TimeoutException;
 
 public final class TestServer {
 
+    private static final String LOCALHOST_PREFIX = "http://localhost:";
+
     private TestServer() {
     }
 
-    public static void main(String[] args) throws IOException, ExecutionException, InterruptedException {
-        ServiceImpl service = new ServiceImpl(new ServiceConfig(
-                8080, "http://localhost",
-                List.of("http://localhost"),
-                Path.of("/home/john/database/")
-        ));
-        service.start().get();
-    }
+    public static void main(String[] args)
+            throws IOException, ExecutionException, InterruptedException, TimeoutException {
+        //port -> url
+        Map<Integer, String> nodes = new HashMap<>();
+        int nodePort = 8080;
+        for (int i = 0; i < 3; i++) {
+            nodes.put(nodePort, LOCALHOST_PREFIX + nodePort);
+            nodePort += 10;
+        }
 
+        List<String> clusterUrls = new ArrayList<>(nodes.values());
+        List<ServiceConfig> clusterConfs = new ArrayList<>();
+        for (Map.Entry<Integer, String> entry : nodes.entrySet()) {
+            int port = entry.getKey();
+            String url = entry.getValue();
+            Path path = Paths.get("tmp/db/" + port);
+            Files.createDirectories(path);
+            ServiceConfig serviceConfig = new ServiceConfig(port,
+                    url,
+                    clusterUrls,
+                    path);
+            clusterConfs.add(serviceConfig);
+        }
+
+        for (ServiceConfig serviceConfig : clusterConfs) {
+            ServiceImpl instance = new ServiceImpl(serviceConfig);
+            instance.start().get(1, TimeUnit.SECONDS);
+        }
+    }
 }
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/dao/BaseEntry.java b/src/main/java/ru/vk/itmo/test/osokindm/dao/BaseEntry.java
new file mode 100644
index 000000000..284e3db5a
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/dao/BaseEntry.java
@@ -0,0 +1,11 @@
+package ru.vk.itmo.test.osokindm.dao;
+
+import java.nio.ByteBuffer;
+
+public record BaseEntry<D>(D key, D value, long timestamp) implements Entry<D> {
+    @Override
+    public String toString() {
+        return "{" + key + ":" + value + ":" + timestamp + "}";
+    }
+
+}
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/dao/Dao.java b/src/main/java/ru/vk/itmo/test/osokindm/dao/Dao.java
new file mode 100644
index 000000000..d5a8d0b01
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/dao/Dao.java
@@ -0,0 +1,87 @@
+package ru.vk.itmo.test.osokindm.dao;
+
+import java.io.Closeable;
+import java.io.IOException;
+import java.util.Iterator;
+
+public interface Dao<D, E extends Entry<D>> extends Closeable {
+    /**
+     * Returns ordered iterator of entries with keys between from (inclusive) and to (exclusive).
+     * @param from lower bound of range (inclusive)
+     * @param to upper bound of range (exclusive)
+     * @return entries [from;to)
+     */
+    Iterator<E> get(D from, D to);
+
+    /**
+     * Returns entry by key. Note: default implementation is far from optimal.
+     * @param key entry`s key
+     * @return entry
+     */
+    default E get(D key) {
+        Iterator<E> iterator = get(key, null);
+        if (!iterator.hasNext()) {
+            return null;
+        }
+
+        E next = iterator.next();
+        if (next.key().equals(key)) {
+            return next;
+        }
+        return null;
+    }
+
+    /**
+     * Returns ordered iterator of all entries with keys from (inclusive).
+     * @param from lower bound of range (inclusive)
+     * @return entries with key >= from
+     */
+    default Iterator<E> allFrom(D from) {
+        return get(from, null);
+    }
+
+    /**
+     * Returns ordered iterator of all entries with keys < to.
+     * @param to upper bound of range (exclusive)
+     * @return entries with key < to
+     */
+    default Iterator<E> allTo(D to) {
+        return get(null, to);
+    }
+
+    /**
+     * Returns ordered iterator of all entries.
+     * @return all entries
+     */
+    default Iterator<E> all() {
+        return get(null, null);
+    }
+
+    /**
+     * Inserts of replaces entry.
+     * @param entry element to upsert
+     */
+    void upsert(E entry);
+
+    /**
+     * Persists data (no-op by default).
+     */
+    default void flush() throws IOException {
+        // Do nothing
+    }
+
+    /**
+     * Compacts data (no-op by default).
+     */
+    default void compact() throws IOException {
+        // Do nothing
+    }
+
+    /*
+     * Releases Dao (calls flush by default).
+     */
+    @Override
+    default void close() throws IOException {
+        flush();
+    }
+}
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/dao/Entry.java b/src/main/java/ru/vk/itmo/test/osokindm/dao/Entry.java
new file mode 100644
index 000000000..e54e9304a
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/dao/Entry.java
@@ -0,0 +1,10 @@
+package ru.vk.itmo.test.osokindm.dao;
+
+public interface Entry<D> {
+    D key();
+
+    D value();
+
+    long timestamp();
+
+}
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/dao/LiveFilteringIterator.java b/src/main/java/ru/vk/itmo/test/osokindm/dao/LiveFilteringIterator.java
index 432c003f2..b5d90cd00 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/dao/LiveFilteringIterator.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/dao/LiveFilteringIterator.java
@@ -1,7 +1,5 @@
 package ru.vk.itmo.test.osokindm.dao;
 
-import ru.vk.itmo.dao.Entry;
-
 import java.lang.foreign.MemorySegment;
 import java.util.Iterator;
 import java.util.NoSuchElementException;
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/dao/MemTable.java b/src/main/java/ru/vk/itmo/test/osokindm/dao/MemTable.java
index 929397a21..88d634c71 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/dao/MemTable.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/dao/MemTable.java
@@ -1,7 +1,5 @@
 package ru.vk.itmo.test.osokindm.dao;
 
-import ru.vk.itmo.dao.Entry;
-
 import java.lang.foreign.MemorySegment;
 import java.util.Iterator;
 import java.util.NavigableMap;
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/dao/MergingEntryIterator.java b/src/main/java/ru/vk/itmo/test/osokindm/dao/MergingEntryIterator.java
index a126b6f78..fe51f9375 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/dao/MergingEntryIterator.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/dao/MergingEntryIterator.java
@@ -1,7 +1,5 @@
 package ru.vk.itmo.test.osokindm.dao;
 
-import ru.vk.itmo.dao.Entry;
-
 import java.lang.foreign.MemorySegment;
 import java.util.Iterator;
 import java.util.List;
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/dao/ReferenceDao.java b/src/main/java/ru/vk/itmo/test/osokindm/dao/ReferenceDao.java
index aa0077b0a..10dbf779a 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/dao/ReferenceDao.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/dao/ReferenceDao.java
@@ -1,8 +1,6 @@
 package ru.vk.itmo.test.osokindm.dao;
 
 import ru.vk.itmo.dao.Config;
-import ru.vk.itmo.dao.Dao;
-import ru.vk.itmo.dao.Entry;
 
 import java.io.IOException;
 import java.lang.foreign.Arena;
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/dao/SSTable.java b/src/main/java/ru/vk/itmo/test/osokindm/dao/SSTable.java
index f94821862..eb228499a 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/dao/SSTable.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/dao/SSTable.java
@@ -1,8 +1,5 @@
 package ru.vk.itmo.test.osokindm.dao;
 
-import ru.vk.itmo.dao.BaseEntry;
-import ru.vk.itmo.dao.Entry;
-
 import java.lang.foreign.MemorySegment;
 import java.lang.foreign.ValueLayout;
 import java.util.Collections;
@@ -54,7 +51,7 @@ private long entryBinarySearch(final MemorySegment key) {
         while (low <= high) {
             final long mid = (low + high) >>> 1;
             final long midEntryOffset = entryOffset(mid);
-            final long midKeyLength = getLength(midEntryOffset);
+            final long midKeyLength = getLongValue(midEntryOffset);
             final int compare =
                     MemorySegmentComparator.compare(
                             data,
@@ -82,7 +79,7 @@ private long entryOffset(final long entry) {
                 entry * Long.BYTES);
     }
 
-    private long getLength(final long offset) {
+    private long getLongValue(final long offset) {
         return data.get(
                 ValueLayout.OfLong.JAVA_LONG_UNALIGNED,
                 offset);
@@ -143,16 +140,21 @@ Entry<MemorySegment> get(final MemorySegment key) {
         // Skip key (will reuse the argument)
         long offset = entryOffset(entry);
         offset += Long.BYTES + key.byteSize();
+
+        // Extract timestamp
+        final long timestamp = getLongValue(offset);
+        offset += Long.BYTES;
+
         // Extract value length
-        final long valueLength = getLength(offset);
+        final long valueLength = getLongValue(offset);
         if (valueLength == SSTables.TOMBSTONE_VALUE_LENGTH) {
             // Tombstone encountered
-            return new BaseEntry<>(key, null);
+            return new BaseEntry<>(key, null, timestamp);
         } else {
             // Get value
             offset += Long.BYTES;
             final MemorySegment value = data.asSlice(offset, valueLength);
-            return new BaseEntry<>(key, value);
+            return new BaseEntry<>(key, value, timestamp);
         }
     }
 
@@ -179,25 +181,29 @@ public Entry<MemorySegment> next() {
             }
 
             // Read key length
-            final long keyLength = getLength(offset);
+            final long keyLength = getLongValue(offset);
             offset += Long.BYTES;
 
             // Read key
             final MemorySegment key = data.asSlice(offset, keyLength);
             offset += keyLength;
 
+            // Read timestamp
+            final long timestamp = getLongValue(offset);
+            offset += Long.BYTES;
+
             // Read value length
-            final long valueLength = getLength(offset);
+            final long valueLength = getLongValue(offset);
             offset += Long.BYTES;
 
             // Read value
             if (valueLength == SSTables.TOMBSTONE_VALUE_LENGTH) {
                 // Tombstone encountered
-                return new BaseEntry<>(key, null);
+                return new BaseEntry<>(key, null, timestamp);
             } else {
                 final MemorySegment value = data.asSlice(offset, valueLength);
                 offset += valueLength;
-                return new BaseEntry<>(key, value);
+                return new BaseEntry<>(key, value, timestamp);
             }
         }
     }
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/dao/SSTableWriter.java b/src/main/java/ru/vk/itmo/test/osokindm/dao/SSTableWriter.java
index d9081c387..d9498d40c 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/dao/SSTableWriter.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/dao/SSTableWriter.java
@@ -1,7 +1,5 @@
 package ru.vk.itmo.test.osokindm.dao;
 
-import ru.vk.itmo.dao.Entry;
-
 import java.io.BufferedOutputStream;
 import java.io.FileOutputStream;
 import java.io.IOException;
@@ -21,7 +19,7 @@
  * {@code [offset0, offset1, ...]}
  *
  * <p>Data file {@code <N>.data} contains serialized entries:
- * {@code <long keyLength><key><long valueLength><value>}
+ * {@code <long keyLength><key><long timestamp><long valueLength><value>}
  *
  * <p>Tombstones are encoded as {@code valueLength} {@code -1} and no subsequent value.
  *
@@ -136,6 +134,7 @@ private long writeEntry(
             final OutputStream os) throws IOException {
         final MemorySegment key = entry.key();
         final MemorySegment value = entry.value();
+        final long timestamp = entry.timestamp();
         long result = 0L;
 
         // Key size
@@ -146,6 +145,10 @@ private long writeEntry(
         writeSegment(key, os);
         result += key.byteSize();
 
+        // timestamp
+        writeLong(timestamp, os);
+        result += Long.BYTES;
+
         // Value size and possibly value
         if (value == null) {
             // Tombstone
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/dao/TableSet.java b/src/main/java/ru/vk/itmo/test/osokindm/dao/TableSet.java
index 5c3e60623..ef405adad 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/dao/TableSet.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/dao/TableSet.java
@@ -1,7 +1,5 @@
 package ru.vk.itmo.test.osokindm.dao;
 
-import ru.vk.itmo.dao.Entry;
-
 import java.lang.foreign.MemorySegment;
 import java.util.ArrayList;
 import java.util.Collections;
@@ -152,16 +150,14 @@ Entry<MemorySegment> get(final MemorySegment key) {
         // First check MemTable
         Entry<MemorySegment> result = memTable.get(key);
         if (result != null) {
-            // Transform tombstone
-            return swallowTombstone(result);
+            return result;
         }
 
         // Then check flushing
         if (flushingTable != null) {
             result = flushingTable.get(key);
             if (result != null) {
-                // Transform tombstone
-                return swallowTombstone(result);
+                return result;
             }
         }
 
@@ -169,8 +165,7 @@ Entry<MemorySegment> get(final MemorySegment key) {
         for (final SSTable ssTable : ssTables) {
             result = ssTable.get(key);
             if (result != null) {
-                // Transform tombstone
-                return swallowTombstone(result);
+                return result;
             }
         }
 
@@ -178,10 +173,6 @@ Entry<MemorySegment> get(final MemorySegment key) {
         return null;
     }
 
-    private static Entry<MemorySegment> swallowTombstone(final Entry<MemorySegment> entry) {
-        return entry.value() == null ? null : entry;
-    }
-
     Entry<MemorySegment> upsert(final Entry<MemorySegment> entry) {
         return memTable.upsert(entry);
     }
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/dao/WeightedPeekingEntryIterator.java b/src/main/java/ru/vk/itmo/test/osokindm/dao/WeightedPeekingEntryIterator.java
index 84350e86b..eacaaaf5b 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/dao/WeightedPeekingEntryIterator.java
+++ b/src/main/java/ru/vk/itmo/test/osokindm/dao/WeightedPeekingEntryIterator.java
@@ -1,7 +1,5 @@
 package ru.vk.itmo.test.osokindm.dao;
 
-import ru.vk.itmo.dao.Entry;
-
 import java.lang.foreign.MemorySegment;
 import java.util.Iterator;
 import java.util.NoSuchElementException;
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/get_graph.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/get_graph.png
new file mode 100644
index 000000000..21375d2b7
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+'AHeadersBuilder',
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+'Y9',
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+'IcheckRequestMore',
+'Iflush',
+'IhandlePendingDelegate',
+'Isubscribe',
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+'SWriteTask.run',
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+'Ssubscribe',
+'IRequestBodySubscriber$1.<init>',
+'^.<init>',
+'_completeSubscriber',
+'KsponseBodySubscriber.<init>',
+'`register',
+'`unregister',
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+'DappendToOutgoing',
+'DconnectFlows',
+'EreateResponseSubscriber',
+'DgetOutgoing',
+'GResponseAsync',
+'Dlambda$sendHeadersAsync$4',
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+'DsendBodyAsync',
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+'DunregisterResponseSubscriber',
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+'Hparse',
+'HreadResumeHeader',
+'RStatusLine',
+'LStatusLineFeed',
+'JsumeOrEndHeaders',
+'PSecondCR',
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+'Z72e0.run',
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+'Rstart',
+'RtryAsyncReceive',
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+'C.<init>',
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+'OHeadersAsync$0',
+'DonFinished',
+'DreadBody',
+'HHeadersAsync',
+':2ClientImpl.getClientSettings',
+'JonnectionFor',
+'IParameter',
+'ISettingsString',
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+'IString',
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+'Uregister',
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+'D.connectTimeout',
+'EfilterChain',
+'Elambda$registerPending$0',
+'EregisterEvent',
+'MPending',
+'MSubscriber',
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+'EunregisterSubscriber',
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+'nb8230.run',
+'YWriteSubscription.requestMore',
+'X.onNext',
+'[Subscribe',
+'YrequestMore',
+'YstartSubscription',
+'YtryFlushCurrent',
+'ASliceBufferSource.append',
+'SgetBuffer',
+'BocketFlowEvent.handle',
+'KTask.run',
+'@.connectFlows',
+'AlistOf',
+'AonNext',
+'CSubscribe',
+'AreadAvailable',
+'Asubscribe',
+'AwriteAvailable',
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+'Wcomplete',
+'WonComplete',
+'YNext',
+'YSubscribe',
+'WtryRegister',
+'ZUnregister',
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+'O.<init>',
+'PaddHeader',
+'Pbuild',
+'Plambda$addHeader$0',
+'PsetHeader',
+'=MinimalFuture.completedFuture',
+'KnewIncompleteFuture',
+'=SequentialScheduler$CompleteRestartableTask.run',
+'QLockingRestartableTask.<init>',
+'hrun',
+'QSchedulableTask.run',
+'QTryEndDeferredCompleter.complete',
+'P.<init>',
+'QlockingScheduler',
+'QrunOrSchedule',
+'=Utils$$Lambda.0x00007f2e2801f470.run',
+'X22498.test',
+'Y3238.test',
+'B.CONTEXT_RESTRICTED',
+'CgetBuffer',
+'FIntegerNetProperty',
+'Clambda$getIntegerNetProperty$14',
+'Jstatic$13',
+'Q6',
+'Cremaining',
+'6frame/SettingsFrame.<init>',
+'JtoByteArray',
+'-reflect/DirectConstructorHandleAccessor.invokeImpl',
+'UnewInstance',
+'5ReflectionFactory.copyConstructor',
+'-vm/Continuation.enter',
+'B0',
+' one.nio.http.Request',
+'/sponse',
+'(net.NativeSelector$2',
+',Session$ArrayQueueItem',
+'#/nio/http/HttpServer.handleRequest',
+'3ssion.handleParsedRequest',
+'9parseRequest',
+':rocessHttpBuffer',
+'@Read',
+'9sendResponse',
+':tartParsingRequestBody',
+'9writeResponse',
+'-Request.<init>',
+'5getHeader',
+'8Parameter',
+':th',
+'8RequiredParameter',
+'5trim',
+'/sponse.<init>',
+'6toBytes',
+'(net/NativeSelector.select',
+',Session.process',
+'4write',
+'(server/SelectorThread.run',
+'(util/ByteArrayBuilder.<init>',
+'-Utf8.read',
+'2toAsciiString',
+' ru.vk.itmo.test.osokindm.HttpServerImpl$$Lambda.0x00007f2e2814e8b8',
+'_ad8',
+'9dao.BaseEntry',
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+'_ad8.run',
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+'EprocessedResponse',
+'EselectLatestResponse',
+'GndRequestsToNodes',
+'9dao/ReferenceDao.get',
+'=SSTable.get',
+'=TableSet.get',
+' sun.net.spi.DefaultProxySelector$3',
+'#/net/NetProperties.getInteger',
+'(spi/DefaultProxySelector$3.run',
+'@.select',
+'%io/ch/EPollSelectorImpl.doSelect',
+'=processEvents',
+'+SelectorImpl.lockAndDoSelect',
+'8processReadyEvents',
+'8select',
+'>Now'
+];
+unpack(cpool);
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+
+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_alloc_get.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_alloc_get.png
new file mode 100644
index 000000000..87c9fb67a
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_alloc_get.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_alloc_put.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_alloc_put.html
new file mode 100644
index 000000000..472c5b7b1
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_alloc_put.html
@@ -0,0 +1,3127 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 1024px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>Allocation profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(64);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
+	}
+
+	const canvas = document.getElementById('canvas');
+	const c = canvas.getContext('2d');
+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
+
+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
+			color: getColor(palette[key & 7]), title: cpool[key >>> 3],
+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' RequestHandler0_entity.handleRequest',
+' byte[]',
+' int[]',
+' java.lang.Integer',
+'*Long',
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+'*VirtualThread',
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+'%net.InetAddress[]',
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+':$InetSocketAddressHolder',
+')URI',
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+')http.HttpHeaders',
+'9$$Lambda.0x00007f2e280cbd00',
+'&io.ByteBuffer[]',
+')HeapByteBuffer',
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+'%time.Instant',
+'%util.AbstractList$RandomAccessSpliterator',
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+'*Collections$UnmodifiableMap',
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+'*HashMap',
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+'5ThreadPerTaskExecutor$TaskRunner',
+'5atomic.AtomicBoolean',
+'BInteger',
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+'5locks.AbstractQueuedSynchronizer$ConditionNode',
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+'*function.BiPredicate$$Lambda.0x00007f2e28135af8',
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+'A.execute',
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+'=Task$RunnableExecuteAction.exec',
+'A.adapt',
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+'6RedirectFilter.<init>',
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+'[subscribe',
+'8sponseContent$FixedLengthBodyParser.<init>',
+'\\onSubscribe',
+'E.<init>',
+'FgetBodyParser',
+'>Subscribers$$Lambda.0x00007f2e2820f000.run',
+'_10ab0.accept',
+'JByteArraySubscriber.<init>',
+'^join',
+'^onComplete',
+'I.getBodyAsync',
+'Jlambda$getBodyAsync$2',
+'^3',
+'6SocketTube$InternalReadPublisher$InternalReadSubscription$$Lambda.0x00007f2e28182af8.run',
+'f2e281895e0.run',
+'o.handlePending',
+'vSubscribeEvent',
+'pread',
+'rquest',
+'rsumeReadEvent',
+'psignalReadable',
+'vSubscribe',
+'WReadEvent.signalEvent',
+'[Subscription.<init>',
+'hrequest',
+'hsignalOnSubscribe',
+'V.subscribe',
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+'nb8230.run',
+'YWriteSubscription.requestMore',
+'X.onNext',
+'[Subscribe',
+'YrequestMore',
+'YstartSubscription',
+'YtryFlushCurrent',
+'ASliceBufferSource.append',
+'SgetBuffer',
+'BocketFlowEvent.handle',
+'KTask.run',
+'@.connectFlows',
+'AlistOf',
+'AonNext',
+'CSubscribe',
+'AreadAvailable',
+'CsumeEvent',
+'Asubscribe',
+'AwriteAvailable',
+'6common/Demand.<init>',
+'=HttpBodySubscriberWrapper$$Lambda.0x00007f2e28034720.apply',
+'V.<init>',
+'Wcomplete',
+'WonComplete',
+'YSubscribe',
+'WtryRegister',
+'ZUnregister',
+'AHeadersBuilder$$Lambda.0x00007f2e280cb278.apply',
+'O.<init>',
+'PaddHeader',
+'Pbuild',
+'Plambda$addHeader$0',
+'PsetHeader',
+'=MinimalFuture.completedFuture',
+'KnewIncompleteFuture',
+'=SequentialScheduler$CompleteRestartableTask.run',
+'QLockingRestartableTask.<init>',
+'hrun',
+'QSchedulableTask.run',
+'QTryEndDeferredCompleter.complete',
+'P.<init>',
+'QlockingScheduler',
+'QrunOrSchedule',
+'=Utils$$Lambda.0x00007f2e2801f470.run',
+'X22498.test',
+'Y3238.test',
+'B.CONTEXT_RESTRICTED',
+'CgetBuffer',
+'FIntegerNetProperty',
+'Clambda$getIntegerNetProperty$14',
+'Jstatic$13',
+'Q6',
+'6frame/SettingsFrame.<init>',
+'JtoByteArray',
+'-reflect/DirectConstructorHandleAccessor.invokeImpl',
+'UnewInstance',
+'5ReflectionFactory.copyConstructor',
+'-vm/Continuation.enter',
+'B0',
+' one.nio.http.Request',
+'/sponse',
+'(net.NativeSelector$2',
+',Session$ArrayQueueItem',
+'#/nio/http/HttpServer.handleRequest',
+'3ssion.handleParsedRequest',
+'9parseRequest',
+':rocessHttpBuffer',
+'@Read',
+'9sendResponse',
+':tartParsingRequestBody',
+'9writeResponse',
+'-Request.<init>',
+'5getHeader',
+'8Parameter',
+':th',
+'8RequiredParameter',
+'5trim',
+'/sponse.<init>',
+'6toBytes',
+'(net/NativeSelector.select',
+',Session.process',
+'4write',
+'(server/SelectorThread.run',
+'(util/ByteArrayBuilder.<init>',
+'-Utf8.read',
+'2toAsciiString',
+' ru.vk.itmo.test.osokindm.HttpServerImpl$$Lambda.0x00007f2e2814e8b8',
+'_ad8',
+'9dao.BaseEntry',
+'"/vk/itmo/test/osokindm/DaoWrapper.getMemorySegment',
+'Dupsert',
+'9HttpServerImpl$$Lambda.0x00007f2e2814e8b8.run',
+'_ad8.run',
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+'D.entity',
+'EforwardRequestToNode',
+'EhandleRequestLocally',
+'EmakeProxyRequest',
+'EprocessedResponse',
+'EsendRequestsToNodes',
+' sun.net.spi.DefaultProxySelector$3',
+'#/net/NetProperties.getInteger',
+'(spi/DefaultProxySelector$3.run',
+'@.select',
+'%io/ch/EPollSelectorImpl.doSelect',
+'=processEvents',
+'+SelectorImpl.lockAndDoSelect',
+'8processReadyEvents',
+'8select',
+'+Util$2.iterator'
+];
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+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_alloc_put.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_alloc_put.png
new file mode 100644
index 000000000..3abf0ca50
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_alloc_put.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_cpu_get.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_cpu_get.html
new file mode 100644
index 000000000..6e8dd853e
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_cpu_get.html
@@ -0,0 +1,4137 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 1552px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>CPU profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(97);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
+	}
+
+	const canvas = document.getElementById('canvas');
+	const c = canvas.getContext('2d');
+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
+
+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
+			color: getColor(palette[key & 7]), title: cpool[key >>> 3],
+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' AccessInternal::PostRuntimeDispatch<G1BarrierSet::AccessBarrier<286822ul, G1BarrierSet>, (AccessInternal::BarrierType)3, 286822ul>::oop_access_barrier',
+'`544868ul, G1BarrierSet>, (AccessInternal::BarrierType)2, 544868ul>::oop_access_barrier',
+'b8964ul, G1BarrierSet>, (AccessInternal::BarrierType)0, 548964ul>::oop_access_barrier',
+'sInternal::BarrierType)2, 548964ul>::oop_access_barrier',
+'!llocTracer::send_allocation_in_new_tlab',
+'%ateHeap',
+' CodeCache::find_blob',
+'$Heap::find_blob',
+'"llectedHeap::fill_with_object',
+'"ntinuation::is_return_barrier_entry',
+' FastThreadsListHandle::FastThreadsListHandle',
+' G1Allocator::unsafe_max_tlab_alloc',
+'"BarrierSetRuntime::write_ref_array_post_entry',
+'"CardTable::g1_mark_as_young',
+'#ollectedHeap::allocate_new_tlab',
+' HandleMark::pop_and_restore',
+'!eapRegion::fill_with_dummy_object',
+' InstanceKlass::allocate_instance',
+'"terpreterRuntime::monitorexit',
+' JNIHandleBlock::allocate_handle',
+')s::make_local',
+'!VM_GetNanoTimeAdjustment',
+'$IHashCode',
+'!avaThread::is_active_Java_thread',
+',jvmti_vthread',
+',rebind_to_jvmti_thread_state_of',
+',threadObj',
+'$_one_nio_net_NativeSocket_read',
+'>write',
+'%sun_nio_ch_EPoll_wait',
+'0SocketDispatcher_read0',
+'!frObjectAllocationSample::send_event',
+'!vmtiEventController::thread_ended',
+'=started',
+'4Private::recompute_thread_enabled',
+'&xport::cleanup_thread',
+'-jvmti_oop_storage',
+'%ThreadState::JvmtiThreadState',
+'2set_thread',
+'2~JvmtiThreadState',
+'%VTMSTransitionDisabler::VTMS_mount_end',
+'Bvthread_end',
+'Jmount',
+'Jstart',
+'=finish_VTMS_transition',
+'=start_VTMS_transition',
+' MemAllocator::Allocation::notify_allocation_jfr_sampler',
+'.allocate',
+'.mem_allocate_inside_tlab_slow',
+'!utatorAllocRegion::retire',
+'#ex::lock',
+' ObjectMonitor::enter',
+'&Synchronizer::enter',
+'5xit',
+'!opStorage::Block::release_entries',
+',allocate',
+',release',
+'!ptoRuntime::is_deoptimized_caller_frame',
+'-new_array_C',
+'7nozero_C',
+'1instance_C',
+' Parker::park',
+'(unpark',
+' RequestHandler0_entity.handleRequest',
+'"sourceArea::rollback_to',
+' SafeThreadsListPtr::release_stable_list',
+'!haredRuntime::complete_monitor_locking_C',
+'/notify_jvmti_vthread_end',
+'Dmount',
+'Dstart',
+'Dunmount',
+'/on_slowpath_allocation_exit',
+'!pinPause',
+' Thread::call_run',
+'&InVMfromNative::ThreadInVMfromNative',
+'&LocalAllocBuffer::fill',
+'8retire_before_allocation',
+'&sListHandle::~ThreadsListHandle',
+'!ypeArrayKlass::allocate_common',
+' Unsafe_Park',
+'\'Unpark',
+' VMError::is_error_reported',
+' [not_walkable_Java]',
+'!unknown]',
+'(_Java]',
+'!vdso]',
+' __GI___libc_free',
+'\'pthread_disable_asynccancel',
+'/mutex_unlock_usercnt',
+'\'read',
+'\'writev',
+'"_pthread_cond_timedwait64',
+'0wait',
+'+mutex_lock',
+'"alloc_skb',
+'"check_object_size',
+'3.part.0',
+'#opy_skb_header',
+'"dev_queue_xmit',
+'#o_softirq',
+'"fdget',
+'\'_pos',
+'#get_light',
+'#utex_abstimed_wait_cancelable64',
+'(queue',
+'(unqueue',
+'"get_task_ioprio',
+'&user_8',
+'+nocheck_4',
+'"hrtimer_init',
+'"import_iovec',
+'#net_lookup_established',
+'#p_finish_output',
+'%local_out',
+'%queue_xmit',
+'#rq_exit_rcu',
+'"kfree_skb',
+'"libc_send',
+'#ll_lock_wait',
+'-ke',
+'#ocal_bh_enable_ip',
+'"malloc',
+'#emmove_avx_unaligned',
+'#od_timer',
+'"napi_poll',
+'#etif_receive_skb',
+'3_one_core',
+')x',
+'#f_conntrack_find_get?[nf_conntrack]',
+'&t_refresh_acct?[nf_conntrack]',
+'"pthread_cleanup_pop',
+'*mutex_cond_lock',
+'#ut_user_nocheck_4',
+'"raw_spin_lock_irqsave',
+'#cu_read_lock',
+'+unlock',
+'#ecv',
+'#seq_handle_notify_resume',
+'#un_timers',
+'"schedule',
+'#k_dst_check',
+'%mem_reduce_allocated',
+'$b_clone',
+'&datagram_iter',
+'#lab_free',
+'#ys_recvfrom',
+'&sendto',
+'"tcp_ack_snd_check',
+'&cleanup_rbuf',
+'&push_pending_frames',
+'&send_ack.part.0',
+'&transmit_skb',
+'#ls_get_addr',
+'._slow',
+'"usecs_to_jiffies',
+'"virt_addr_valid',
+'"wake_up_common_lock',
+'*sync_key',
+'#rite',
+'"x64_sys_epoll_wait',
+'*futex',
+'*read',
+',cvfrom',
+'*sendto',
+'*write',
+'/v',
+'#86_indirect_thunk_rdx',
+'#frm_policy_check2.constprop.0',
+'!copy_from_iter',
+'+user',
+'&to_iter',
+'!dl_update_slotinfo',
+'!raw_spin_lock',
+'._bh',
+'/irqsave',
+'*unlock_bh',
+'1irq',
+'4restore',
+'%write_unlock_irq',
+' aa_file_perm',
+'#sk_perm',
+'!pparmor_file_permission',
+')ip_postroute',
+')socket_recvmsg',
+'0sendmsg',
+'!sm_sysvec_apic_timer_interrupt',
+'+call_function_single',
+' bpf_skops_write_hdr_opt.isra.0',
+' cache_from_obj',
+'"ll_timer_fn',
+'!heck_bounds',
+'&heap_object',
+'&stack_object',
+'!lock_gettime@@GLIBC_2.17',
+'!opyin',
+'!ubictcp_cwnd_event',
+' d_path',
+'!ev_hard_start_xmit',
+'!o_epoll_wait',
+'#futex',
+'#iter_readv_writev',
+'(write',
+'#softirq.part.0',
+'$yscall_64',
+'#writev',
+' enqueue_to_backlog',
+'"try_SYSCALL_64_after_hwframe',
+'!p_done_scan',
+'#item_poll.isra.0',
+'#poll',
+'#send_events',
+'"oll_wait',
+'!th_type_trans',
+'!ventfd_read',
+'(write',
+'!xit_to_user_mode_loop',
+'2prepare',
+'"pr_call_ops_eval?[nf_tables]',
+' finish_task_switch.isra.0',
+'!put',
+'!snotify_perm.part.0',
+'!utex_hash',
+'&q_lock',
+'&setup_timer',
+'&wait',
+'*_queue',
+'+setup',
+'(ke',
+'*_mark',
+' get_futex_key',
+'$timespec64',
+' hash_conntrack_raw?[nf_conntrack]',
+'!rtimer_init_sleeper',
+'(sleeper_start_expires',
+')tart_range_ns',
+' implEncode',
+'#ort_iovec',
+'\'single_range',
+'!net6_recvmsg',
+'&sendmsg',
+'$_ehashfn',
+'!p_finish_output',
+'02',
+'#local_deliver',
+'0_finish',
+')out',
+'#output',
+'#protocol_deliver_rcu',
+'#queue_xmit',
+'#rcv',
+'&_core',
+'\'finish_core.constprop.0',
+'#send_check',
+'$kb_dst_mtu',
+'"v4_conntrack_defrag?[nf_defrag_ipv4]',
+'/local?[nf_conntrack]',
+'!rq_exit_rcu',
+'#entry_exit',
+'-_to_user_mode',
+'!table stub',
+' java/lang/AbstractStringBuilder.append',
+'@ensureCapacityInternal',
+'*Iterable.forEach',
+'*Long.getChars',
+'/parseLong',
+'/toString',
+'*Object.hashCode',
+'*String$CaseInsensitiveComparator.compare',
+'0.encode',
+'7UTF8',
+'2qualsIgnoreCase',
+'1getBytes',
+'1indexOf',
+'2sEmpty',
+'1length',
+'1regionMatches',
+'1startsWith',
+'2ubstring',
+'1toLowerCase',
+'2rim',
+'1valueOf',
+'0Builder.append',
+'8toString',
+'0ConcatHelper.newArray',
+'=prepend',
+'=simpleConcat',
+'0Latin1.compareToCI',
+'7indexOf',
+'7newString',
+'7regionMatchesCI',
+'7toLowerCase',
+'8rim',
+'+ystem$2.getCarrierThreadLocal',
+'3parkVirtualThread',
+'3start',
+'0.getProperty',
+'*Thread.interrupted',
+'1run',
+'4With',
+'0Local$ThreadLocalMap.getEntry',
+'5.get',
+'9CarrierThreadLocal',
+'*VirtualThread$$Lambda.0x00007f2e28129c98.run',
+'8VThreadContinuation$1.run',
+'7.getAndClearInterrupt',
+'8park',
+'8run',
+';Continuation',
+'8start',
+'9ubmitRunContinuation',
+'8yieldContinuation',
+'*foreign/MemorySegment.get',
+'CAtIndex',
+'@mismatch',
+'@ofArray',
+'*invoke/DirectMethodHandle$Holder.invokeStatic',
+'KnewInvokeSpecial',
+'C.allocateInstance',
+'1Invokers$Holder.invokeExact_MT',
+'AlinkToTargetMethod',
+'1LambdaForm$DMH.0x00007f2e2821c000.newInvokeSpecial',
+'O400.newInvokeSpecial',
+'<MH.0x00007f2e28009400.invoke',
+'L12400.invoke',
+'L31400.invoke',
+'K143000.invoke',
+'Lbfc00.invoke',
+'Lce400.invoke',
+'1VarHandleGuards.guard_LJ_I',
+'JJ',
+'HLL_Z',
+'I_L',
+':References$FieldInstanceReadWrite.compareAndSet',
+'\\getAndSet',
+':SegmentAsBytes.checkAddress',
+'Iget',
+'CLongs.checkAddress',
+'Iget',
+'IoffsetNoVMAlignCheck',
+'*ref/Reference.refersTo',
+'@Impl',
+'-lect/AccessibleObject.checkAccess',
+'CslowVerifyAccess',
+'CverifyAccess',
+'2Constructor.newInstance',
+'IWithCaller',
+'%net/InetAddress.getAllByName',
+'A0',
+'8ByName',
+'-SocketAddress.<init>',
+')URI$Parser.checkChars',
+'4parse',
+'9Authority',
+'9Hierarchical',
+':ostname',
+'9Server',
+'4scan',
+',.<init>',
+'-create',
+'-match',
+')http/HttpHeaders$$Lambda.0x00007f2e280cbd00.accept',
+'N156230.accept',
+'9.allValues',
+':firstValue',
+'DAsLong',
+':headersOf',
+':lambda$headersOf$0',
+'K1',
+':map',
+':of',
+'2Request.newBuilder',
+'&io/Buffer.hasRemaining',
+'0position',
+'*yteBuffer.position',
+'5ut',
+')HeapByteBuffer.get',
+'8put',
+')MappedByteBuffer.position',
+')channels/SocketChannel.write',
+'2spi/AbstractSelectableChannel.keyFor',
+'%security/AccessController.doPrivileged',
+'?executePrivileged',
+'%time/Clock.currentInstant',
+'*Instant.compareTo',
+'2isAfter',
+'2now',
+'%util/ArrayList$Itr.checkForComodification',
+'8next',
+'3.add',
+'7All',
+'4clear',
+'4forEach',
+'4listIterator',
+'4rangeCheckForAdd',
+'/s.copyOf',
+'7Range',
+'<Byte',
+'1hashCode',
+'*Base64$Encoder.encode',
+'?0',
+'?ToString',
+'*Collections$UnmodifiableCollection$1.next',
+'L.<init>',
+'Mcontains',
+'BMap$UnmodifiableEntrySet$UnmodifiableEntry.getKey',
+'Z.<init>',
+'E.containsKey',
+'FentrySet',
+'FforEach',
+'Fget',
+'BSet.<init>',
+',mparator$$Lambda.0x00007f2e280674f0.compare',
+'4.lambda$comparing$77a9974f$1',
+'*HashMap$HashIterator.<init>',
+'?nextNode',
+'2KeyIterator.<init>',
+'>next',
+'5Set.iterator',
+'6pliterator.forEachRemaining',
+'1.computeIfAbsent',
+'2forEach',
+'2get',
+'5Node',
+'2hash',
+'2put',
+'5Val',
+'2resize',
+'.Set.add',
+'2iterator',
+'*ImmutableCollections$List12.toArray',
+'*LinkedList$DescendingIterator.<init>',
+'Hnext',
+'5ListItr.checkForComodification',
+'=previous',
+'4.descendingIterator',
+'*Objects.hash',
+'2requireNonNull',
+'*Properties.getProperty',
+'*TreeMap.addEntry',
+':ToEmptyMap',
+'2compare',
+'4ntainsKey',
+'2fixAfterInsertion',
+'3orEach',
+'2get',
+'5Entry',
+':UsingComparator',
+'5FirstEntry',
+'2put',
+'2rotateRight',
+'.Set.contains',
+'*WeakHashMap.get',
+'6hash',
+'*concurrent/ArrayBlockingQueue.enqueue',
+'Hoffer',
+'Htake',
+'5CompletableFuture$AsyncSupply.run',
+'GCompletion.exec',
+'Rrun',
+'GSignaller.block',
+'QtryFire',
+'GUniApply.tryFire',
+'JCompletion.claim',
+'Nose.tryFire',
+'QExceptionally.tryFire',
+'JHandle.tryFire',
+'JRelay.tryFire',
+'JWhenComplete.tryFire',
+'F.complete',
+'OAsync',
+'GencodeRelay',
+'Gget',
+'Ghandle',
+'GinternalComplete',
+'GpostComplete',
+'KFire',
+'GthenApply',
+'KCompose',
+'HimedGet',
+'HryPushStack',
+'GuniApplyNow',
+'OStage',
+'JComposeStage',
+'JHandle',
+'PStage',
+'JWhenComplete',
+'VStage',
+'Jpush',
+'GwhenComplete',
+'7ncurrentHashMap$KeySetView.add',
+'Rremove',
+'F.addCount',
+'Gget',
+'GputVal',
+'Gremove',
+'IplaceNode',
+'?LinkedDeque.isEmpty',
+'KpeekFirst',
+'LollFirst',
+'Kunlink',
+'QLast',
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+'NSet.iterator',
+'J.addIndices',
+'Kcpr',
+'KdoGet',
+'MPut',
+'MRemove',
+'Kget',
+'KputIfAbsent',
+'Kremove',
+'GSet.add',
+'Kiterator',
+'Kremove',
+'5ForkJoinPool$WorkQueue.getAndSetAccess',
+'Lpush',
+'LtopLevelExec',
+'MryPoll',
+'A.awaitWork',
+'BcompareAndExchangeCtl',
+'Bexecute',
+'BmanagedBlock',
+'BpoolSubmit',
+'Breactivate',
+'CunWorker',
+'Bscan',
+'CignalWork',
+'CubmissionQueue',
+'BunmanagedBlock',
+'=Task$AdaptedRunnableAction.exec',
+'BRunnableExecuteAction.exec',
+'A.compareAndSetForkJoinTaskTag',
+'BdoExec',
+'BgetAndBitwiseOrStatus',
+'BsetDone',
+'=WorkerThread.run',
+'5ThreadLocalRandom.mix32',
+'GnextSecondarySeed',
+';PerTaskExecutor$TaskRunner.run',
+'J.execute',
+'Kstart',
+'KtaskComplete',
+'<oolExecutor$Worker.run',
+'G.execute',
+'HgetTask',
+'HrunWorker',
+'5atomic/AtomicInteger.compareAndSet',
+'Jget',
+'JincrementAndGet',
+'BLong.get',
+'BReference.compareAndSet',
+'LgetAndSet',
+'5locks/AbstractQueuedSynchronizer$ConditionNode.block',
+'_Object.await',
+'fcanReacquire',
+'fdoSignal',
+'fenableWait',
+'fsignal',
+'VNode.getAndUnsetStatus',
+'U.<init>',
+'Vacquire',
+'VcompareAndSetState',
+'Vrelease',
+'VsignalNext',
+';LockSupport.park',
+'KNanos',
+'KUntil',
+'Gunpark',
+';ReentrantLock$NonfairSync.<init>',
+'UinitialTryLock',
+'ISync.<init>',
+'Nlock',
+'H.<init>',
+'Ilock',
+'Iunlock',
+'*function/Function.identity',
+'*stream/AbstractPipeline.copyInto',
+'Bevaluate',
+'BwrapAndCopyInto',
+'FSink',
+'1FindOps$FindOp.evaluateSequential',
+'2orEachOps$ForEachOp$OfRef.accept',
+'LevaluateSequential',
+'E.evaluateSequential',
+'1LongPipeline.findFirst',
+'1ReferencePipeline$2$1.accept',
+'B.findFirst',
+'DorEach',
+'$_lang_Thread::get_thread_status',
+'2jvmti_thread_state',
+'2set_is_in_VTMS_transition',
+'2thread_acquire',
+'*VirtualThread::is_instance',
+'!byte_disjoint_arraycopy',
+'!dk/internal/foreign/AbstractMemorySegmentImpl.<init>',
+'OcheckAccess',
+'TBounds',
+'Omismatch',
+'5HeapMemorySegmentImpl$OfByte.<init>',
+'RfromArray',
+'RunsafeGetBase',
+'J.<init>',
+'5MappedMemorySegmentImpl.asSlice',
+'6emorySessionImpl.checkValidStateRaw',
+'-misc/CarrierThreadLocal.get',
+'2ScopedMemoryAccess.getByte',
+'LInternal',
+'HLongUnaligned',
+'UInternal',
+'2Unsafe.allocateUninitializedArray',
+'9getAndBitwiseAndInt',
+'FOrInt',
+'9park',
+'9unpark',
+'2VM.getNanoTimeAdjustment',
+'3irtualThreads.park',
+'-net/http/AsyncTriggerEvent.handle',
+'7uthenticationFilter$Cache.get',
+'J.getCache',
+'Krequest',
+'6ConnectionPool$CacheKey.hashCode',
+'FleanupTrigger.onSubscribe',
+'Tsubscribe',
+'EExpiryList.add',
+'PpurgeUntil',
+'D.cacheKey',
+'EfindConnection',
+'EgetConnection',
+'R0',
+'EpurgeExpiredConnectionsAndReturnNextDeadline',
+'GtConnection',
+'EregisterCleanupTrigger',
+'GturnToPool',
+'6Exchange$$Lambda.0x00007f2e2815d230.apply',
+'Ueaa8.apply',
+'T9cd80.apply',
+'Tb48e0.apply',
+'Tdb490.apply',
+'S212fe0.accept',
+'>.checkFor407',
+'?establishExchange',
+'?h2Upgrade',
+'?ignore1xxResponse',
+'?lambda$readBodyAsync$0',
+'HsponseAsyncImpl0$7',
+'Y8',
+'Y9',
+'?readBodyAsync',
+'AsponseAsync',
+'LImpl',
+'P0',
+'?sendRequestBody',
+'>Impl$$Lambda.0x00007f2e28162b38.apply',
+'X933a0.apply',
+'Y4a18.apply',
+'B.createExchangeImpl',
+'IHttp1Exchange',
+'Cget',
+'Clambda$createExchangeImpl$2',
+'Jget$0',
+'6FilterFactory.getFilterChain',
+'6Http1AsyncReceiver$$Lambda.0x00007f2e28191980.run',
+'IHttp1AsyncDelegateSubscription.<init>',
+'NTubeSubscriber.onNext',
+'_Subscribe',
+']requestMore',
+'H.<init>',
+'IasyncReceive',
+'IcheckForErrors',
+'NRequestMore',
+'Iflush',
+'IhandlePendingDelegate',
+'Isubscribe',
+';Exchange$$Lambda.0x00007f2e281ade10.apply',
+'DHttp1Publisher$Http1WriteSubscription.request',
+'SWriteTask.run',
+'R.<init>',
+'Ssubscribe',
+'IResponseBodySubscriber.register',
+'`unregister',
+'C.<init>',
+'DappendToOutgoing',
+'DconnectFlows',
+'DgetOutgoing',
+'DhasOutgoing',
+'Dlambda$sendHeadersAsync$4',
+'DreadBodyAsync',
+'FgisterResponseSubscriber',
+'DsendBodyAsync',
+'HHeadersAsync',
+'DunregisterResponseSubscriber',
+';HeaderParser.addHeaderFromString',
+'Hget',
+'Hparse',
+'HreadResumeHeader',
+'LStatusLineFeed',
+'JsumeOrEndHeaders',
+'PSecondCR',
+';Request$$Lambda.0x00007f2e281bb900.test',
+'B.collectHeaders0',
+'Q1',
+'Cheaders',
+'DostString',
+'Clambda$collectHeaders0$1',
+'=sponse$$Lambda.0x00007f2e281dc850.apply',
+'Ye5fc8.run',
+'Z72e0.run',
+'X204ab0.accept',
+'Z7ca8.accept',
+'DBodyReader.handle',
+'OonComplete',
+'QSubscribe',
+'OtryAsyncReceive',
+'DClientRefCountTracker.tryRelease',
+'DHeadersReader.handle',
+'RtryAsyncReceive',
+'DReceiver.accept',
+'C.<init>',
+'Dlambda$readBody$1',
+'T2',
+'T3',
+'OHeadersAsync$0',
+'DonFinished',
+'DreadBody',
+':2ClientImpl.getConnectionFor',
+'ISettingsString',
+'<onnection.keyFor',
+':ClientFacade.sendAsync',
+'@Impl$$Lambda.0x00007f2e280c1628.getAsBoolean',
+'Y15b8a0.accept',
+'EDelegatingExecutor.ensureExecutedAsync',
+'Yxecute',
+'ESelectorAttachment.register',
+'ZsetInterestOps',
+'MManager$$Lambda.0x00007f2e281b0800.accept',
+'k31a0.run',
+'l3c0.accept',
+'k6138.accept',
+'T.eventUpdated',
+'UhandleEvent',
+'Ulambda$run$2',
+'`3',
+'`5',
+'Vock',
+'Uregister',
+'Vun',
+'Uunlock',
+'D.eventUpdated',
+'EfilterChain',
+'Gnished',
+'EisSelectorThread',
+'Elambda$sendAsync$2',
+'EpurgeTimeoutsAndReturnNextDeadline',
+'EreferenceCount',
+'GgisterEvent',
+'MPending',
+'MSubscriber',
+'GquestUnreference',
+'EsendAsync',
+'Eunreference',
+'IgisterSubscriber',
+';onnection$$Lambda.0x00007f2e2802fbf8.apply',
+'ETrailingOperations.add',
+'D.addTrailingOperation',
+'EcheckOpen',
+'FloseOrReturnToCache',
+'EgetConnection',
+'EisOpen',
+':RequestBuilderImpl.<init>',
+'Mbuild',
+'McheckNameAndValue',
+'RURI',
+'Mheader',
+'Mmethod',
+'AImpl$$Lambda.0x00007f2e28162098.run',
+'E.<init>',
+'FgetAddress',
+'Flambda$getAddress$5',
+'FretrieveProxy',
+'FsetH2Upgrade',
+'6ImmutableHttpRequest.<init>',
+'6MultiExchange$$Lambda.0x00007f2e28159790.apply',
+'Za080.apply',
+'Yb6368.apply',
+'X2147f0.apply',
+'C.<init>',
+'Dlambda$responseAsync0$2',
+'Z3',
+'Z4',
+'XImpl$6',
+'DrequestFilters',
+'FsponseAsync',
+'Q0',
+'QImpl',
+'LFilters',
+'6PlainHttpConnection.cacheKey',
+'6RedirectFilter.request',
+'Gsponse',
+'8sponseContent$FixedLengthBodyParser.accept',
+'\\onSubscribe',
+'E.<init>',
+'>Subscribers$$Lambda.0x00007f2e28210ab0.accept',
+'JByteArraySubscriber.join',
+'^onComplete',
+'`Next',
+'I.lambda$getBodyAsync$2',
+'6SocketTube$InternalReadPublisher$InternalReadSubscription$$Lambda.0x00007f2e28182af8.run',
+'f2e281895e0.run',
+'o.handlePending',
+'vSubscribeEvent',
+'pread',
+'rquest',
+'rsumeReadEvent',
+'psignalReadable',
+'vSubscribe',
+'WReadEvent.signalEvent',
+'[Subscription.request',
+'hsignalOnSubscribe',
+'V.subscribe',
+'IWriteSubscriber$$Lambda.0x00007f2e2818bf20.run',
+'nb8230.run',
+'nd66e0.run',
+'YWriteSubscription.dropSubscription',
+'krequestMore',
+'X.onNext',
+'[Subscribe',
+'YrequestMore',
+'YstartSubscription',
+'YtryFlushCurrent',
+'ASliceBufferSource.getBuffer',
+'BocketFlowEvent.handle',
+'KTask.run',
+'@.connectFlows',
+'AisFinished',
+'AonNext',
+'CSubscribe',
+'AreadAvailable',
+'CsumeEvent',
+'Asubscribe',
+'AwriteAvailable',
+'6common/Demand.decreaseAndGet',
+'DtryDecrement',
+'=HttpBodySubscriberWrapper.complete',
+'WonComplete',
+'YNext',
+'YSubscribe',
+'WtryRegister',
+'ZUnregister',
+'AHeadersBuilder.build',
+'PsetHeader',
+'=MinimalFuture.<init>',
+'KcompletedFuture',
+'KnewIncompleteFuture',
+'=SequentialScheduler$CompleteRestartableTask.run',
+'QLockingRestartableTask.<init>',
+'hrun',
+'QSchedulableTask.run',
+'QTryEndDeferredCompleter.complete',
+'P.isStopped',
+'QlockingScheduler',
+'QrunOrSchedule',
+'=Utils$$Lambda.0x00007f2e2801faf8.test',
+'Zd40.test',
+'B.isValidName',
+'JValue',
+'Clambda$static$2',
+'Q3',
+'Cremaining',
+'-reflect/DirectConstructorHandleAccessor.invokeImpl',
+'UnewInstance',
+'5Reflection.verifyMemberAccess',
+'-util/ArraysSupport.mismatch',
+'-vm/Continuation.enter',
+'B0',
+'BSpecial',
+'=run',
+'!int_disjoint_arraycopy',
+'!long_disjoint_arraycopy',
+'!ni_GetByteArrayRegion',
+'$SetByteArrayRegion',
+' kfree_skbmem',
+'!malloc_reserve',
+'"em_cache_alloc_node',
+'+free',
+'!sys_read',
+'%write',
+'!time_add_safe',
+'&get',
+')_seconds',
+'*ts64',
+' lock_sock_nested',
+'"opback_xmit',
+' mangle_path',
+'!em_cgroup_charge_skmem',
+'+uncharge_skmem',
+'#cg_slab_post_alloc_hook',
+'#set_orig',
+'!od_memcg_state',
+'$timer',
+'!utex_unlock',
+' napi_consume_skb',
+'!eigh_hh_output',
+'"t_rx_action',
+'#if_rx_internal',
+'!f_conntrack_handle_packet?[nf_conntrack]',
+'-in?[nf_conntrack]',
+'-put',
+'-tcp_packet?[nf_conntrack]',
+'#hook_slow',
+'"t_counter_eval?[nf_tables]',
+'$do_chain?[nf_tables]',
+',_ipv4?[nf_tables]',
+'$immediate_eval?[nf_tables]',
+'$meta_get_eval?[nf_tables]',
+')store_ifname?[nf_tables]',
+' one/nio/http/HttpServer.handleRequest',
+'3ssion.handleParsedRequest',
+'9parseRequest',
+':rocessHttpBuffer',
+'@Read',
+'9sendResponse',
+':tartParsingRequestBody',
+'9writeResponse',
+'-Request.<init>',
+'5getHeader',
+'8Parameter',
+':th',
+'8RequiredParameter',
+'5trim',
+'/sponse.<init>',
+'6ok',
+'6toBytes',
+'(net/NativeSelector$2.<init>',
+'=findNext',
+'=next',
+':.epollWait',
+';select',
+'3ocket.read',
+'9write',
+',Session$ArrayQueueItem.write',
+'3.process',
+'4read',
+'4write',
+'(server/SelectorThread.run',
+'(util/ByteArrayBuilder.append',
+'-URLEncoder.decode',
+'.tf8.isAsciiString',
+'2length',
+'2read',
+'2startsWith',
+'2toAsciiString',
+'2write',
+'!opDesc* JNIHandles::resolve_impl<0ul, false>',
+'#Factory::new_typeArray_nozero',
+'#_disjoint_arraycopy',
+'!s::javaTimeMillis',
+'$malloc',
+' plist_add',
+'!repend_path',
+'"ocess_backlog',
+'!thread_cond_signal@@GLIBC_2.3.2',
+'(mutex_trylock@@GLIBC_2.34',
+'.unlock@@GLIBC_2.2.5',
+' qdisc_pkt_len_init',
+' raw_local_deliver',
+'$v4_input',
+'!ead_tsc',
+'"lease_sock',
+'"p_movs_alternative',
+'"solve_normal_ct?[nf_conntrack]',
+'!seq_ip_fixup',
+'%update_cpu_node_id',
+'!u/vk/itmo/test/osokindm/DaoWrapper.get',
+'GMemorySegment',
+'9HttpServerImpl$$Lambda.0x00007f2e2814e8b8.run',
+'_ad8.run',
+'G.handleAsync',
+'NRequest',
+'Hlambda$handleAsync$1',
+'URequest$0',
+'9RendezvousRouter.getNodes',
+'9ServiceImpl$$Lambda.0x00007f2e2814f368.apply',
+'D.entity',
+'FxtractTimestampFromResponse',
+'EforwardRequestToNode',
+'EgetTimestamp',
+'EhandleRequestLocally',
+'EmakeProxyRequest',
+'EprocessedResponse',
+'EselectLatestResponse',
+'GndRequestsToNodes',
+'9dao/MemTable.get',
+'@orySegmentComparator.compare',
+'=ReferenceDao.get',
+'=SSTable.entryBinarySearch',
+'JOffset',
+'Eget',
+'HLongValue',
+'=TableSet.get',
+'"n_timer_softirq',
+'!w_verify_area',
+' schedule',
+'(_hrtimeout_range',
+'8_clock',
+'!ecurity_file_permission',
+')sock_rcv_skb',
+'-et_recvmsg',
+'0sendmsg',
+'"lect_estimate_accuracy',
+'"q_file_path',
+'$path',
+'$read',
+'(_iter',
+'"t_normalized_timespec64',
+'!how_map',
+'(_vma',
+'!imple_copy_to_iter',
+'!k_filter_trim_cap',
+'$orced_mem_schedule',
+'$ree',
+'#page_frag_refill',
+'#reset_timer',
+'"b_clone',
+'%opy_datagram_iter',
+'$do_copy_data_nocache',
+'$free_head',
+'$page_frag_refill',
+'$release_data',
+'!lab_update_freelist.constprop.0.isra.0',
+'!ock_def_readable',
+'%poll',
+'%read_iter',
+'\'cvmsg',
+'&free',
+'%write_iter',
+'$fd_lookup_light',
+'!rso_return_thunk',
+'%safe_ret',
+'!tart_thread',
+'"rncpy',
+'!un/net/NetProperties.get',
+'(spi/DefaultProxySelector$3.run',
+'@.select',
+'%io/ch/EPoll.wait',
+'0SelectorImpl.clearInterrupt',
+'=doSelect',
+'=processEvents',
+'DUpdateQueue',
+'=wakeup',
+',ventFD.reset',
+'3set',
+'60',
+'+IOUtil.drain',
+'2read',
+'6IntoNativeBuffer',
+'2write',
+'-VecWrapper.get',
+';Buffer',
+'+SelectorImpl.end',
+'8lockAndDoSelect',
+'8processDeregisterQueue',
+'8select',
+'>Now',
+',ocketChannelImpl.read',
+'=write',
+'1Dispatcher.read',
+'@0',
+'<writev',
+'B0',
+'+Util$BufferCache.get',
+'<offerFirst',
+'/.getTemporaryDirectBuffer',
+'0offerFirstTemporaryDirectBuffer',
+'5LastTemporaryDirectBuffer',
+'!yscall_enter_from_user_mode',
+')xit_to_user_mode',
+'#vec_apic_timer_interrupt',
+'\'call_function_single',
+' tcp_ack',
+'\'_update_rtt',
+'$check_space',
+'&rono_start',
+'%lean_rtx_queue.constprop.0',
+')up_rbuf',
+'%urrent_mss',
+'%wnd_validate',
+'$data_queue',
+')ready',
+'$established_options',
+'%vent_new_data_sent',
+'$filter',
+'$in_window?[nf_conntrack]',
+'&bound_md5_hash',
+'$mstamp_refresh',
+'$poll',
+'%ush',
+'$queue_rcv',
+'$rack_advance',
+'&te_check_app_limited',
+')gen',
+'%btree_insert',
+'%cv_established',
+'(space_adjust',
+'%earm_rto',
+'&cv_timestamp',
+'(msg',
+'+_locked',
+'&lease_cb',
+'%tt_estimator',
+'$schedule_loss_probe',
+'%end_ack',
+')delayed_ack',
+')mss',
+'(msg',
+'+_locked',
+'%kb_entail',
+'%tream_alloc_skb',
+'+memory_free',
+'$update_skb_after_send',
+'$v4_do_rcv',
+'\'rcv',
+'$write_xmit',
+'!hread_native_entry',
+'!ry_to_wake_up',
+' validate_xmit_skb',
+'!fs_read',
+'$write',
+')v',
+'!table stub',
+' wake_q_add_safe',
+'%up_q'
+];
+unpack(cpool);
+
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+
+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_cpu_get.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_cpu_get.png
new file mode 100644
index 000000000..aa0ca3256
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diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_cpu_get2.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_cpu_get2.png
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diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_cpu_put.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_cpu_put.html
new file mode 100644
index 000000000..7353525a7
--- /dev/null
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+' AccessInternal::PostRuntimeDispatch<G1BarrierSet::AccessBarrier<286822ul, G1BarrierSet>, (AccessInternal::BarrierType)3, 286822ul>::oop_access_barrier',
+'`401510ul, G1BarrierSet>, (AccessInternal::BarrierType)3, 401510ul>::oop_access_barrier',
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+'&RootSet::contains',
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+'8MergeCardSetClosure::do_heap_region',
+'6work',
+'"NUMA::index_of_current_thread',
+'#methodProcessor::do_regular_processing',
+'"ParEvacuateFollowersClosure::do_void',
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+'#ootProcessor::evacuate_roots',
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+'"ScanHRForRegionClosure::scan_heap_roots',
+'"YoungCollector::collect',
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+' IfNode::Ideal',
+'(search_identical',
+'!mmutableOopMap::oops_do',
+'/Set::find_map_at_offset',
+'!ndexSetIterator::advance_and_next',
+'"lineTree::ok_to_inline',
+'"stanceKlass::allocate_instance',
+'8objArray',
+'0rray_klass',
+' JNIHandleBlock::allocate_handle',
+')s::make_local',
+',resolve_external_guard',
+'!VM_GetNanoTimeAdjustment',
+'$IHashCode',
+'$NanoTime',
+'!avaFrameAnchor::make_walkable',
+'$Thread::is_active_Java_thread',
+'/interrupted',
+'/lock_owned',
+',jvmti_vthread',
+',oops_do_frames',
+',rebind_to_jvmti_thread_state_of',
+',threadObj',
+'2_main_inner',
+'$_java_io_FileOutputStream_writeBytes',
+'*lang_System_identityHashCode',
+'%one_nio_net_NativeSelector_epollWait',
+'8ocket_read',
+'>write',
+'%sun_nio_ch_EPoll_wait',
+'1ventFD_set0',
+'0SocketDispatcher_read0',
+'Awritev0',
+'!frAllocationTracer::JfrAllocationTracer',
+'#ObjectAllocationSample::send_event',
+'!vmtiEnvBase::is_valid',
+'(ThreadEventEnable::~JvmtiEnvThreadEventEnable',
+'.State::JvmtiEnvThreadState',
+'5~JvmtiEnvThreadState',
+'&ventController::thread_ended',
+'=started',
+'4Private::recompute_thread_enabled',
+'&xport::cleanup_thread',
+'%ThreadState::JvmtiThreadState',
+'2set_thread',
+'2~JvmtiThreadState',
+'%VTMSTransitionDisabler::VTMS_mount_end',
+'Bvthread_end',
+'Jmount',
+'Jstart',
+'Junmount',
+'=finish_VTMS_transition',
+'=start_VTMS_transition',
+' Klass::check_array_allocation_length',
+' LinkResolver::lookup_method_in_klasses',
+'.resolve_method',
+'6static_call',
+'A_or_null',
+' Matcher::Label_Root',
+')match',
+'._tree',
+')xform',
+'!emAllocator::Allocation::check_out_of_memory',
+':notify_allocation_jfr_sampler',
+'Mvmti_sampler',
+'.allocate',
+'.mem_allocate_inside_tlab_slow',
+'"rgeMemNode::Ideal',
+'"thod::bcp_from',
+'!utatorAllocRegion::retire',
+'#ex::lock',
+'+_contended',
+',without_safepoint_check',
+' ObjAllocator::initialize',
+'$rrayAllocator::initialize',
+'(Klass::array_klass',
+'#ectMonitor::EnterI',
+'/TrySpin',
+'/enter',
+'0xit',
+'&Sampler::is_created',
+'\'ynchronizer::FastHashCode',
+'4enter',
+'4inflate',
+'!opMapSet::find_map',
+'#Storage::Block::release_entries',
+',allocate',
+',release',
+'!ptoRuntime::is_deoptimized_caller_frame',
+'-new_array_C',
+'7nozero_C',
+'1instance_C',
+' Parker::park',
+'(unpark',
+'#se::Parse',
+'\'do_all_blocks',
+'*call',
+'*one_block',
+'%Generator::generate',
+'!haseAggressiveCoalesce::insert_copies',
+'%CFG::do_global_code_motion',
+'*global_code_motion',
+'&haitin::Register_Allocate',
+'.Simplify',
+'/plit',
+'.gather_lrg_masks',
+'.merge_multidefs',
+'%IdealLoop::build_and_optimize',
+'6loop_late',
+'?_post_work',
+'0compute_lca_of_uses',
+'0dom_lca_for_get_late_ctrl_internal',
+'0get_late_ctrl_with_anti_dep',
+'0is_dominator',
+'0optimize',
+'&terGVN::optimize',
+'.transform_old',
+'%MacroExpand::expand_macro_nodes',
+'%RemoveUseless::PhaseRemoveUseless',
+'\'numberLive::PhaseRenumberLive',
+'3update_embedded_ids',
+' RegisterMap::RegisterMap',
+'"questHandler0_entity.handleRequest',
+'"sourceArea::rollback_to',
+' SafeThreadsListPtr::release_stable_list',
+'$pointSynchronize::end',
+'6handle_polling_page_exception',
+'!haredRuntime::complete_monitor_locking_C',
+'@unlocking_C',
+'/notify_jvmti_vthread_end',
+'Dmount',
+'Dstart',
+'Dunmount',
+'/on_slowpath_allocation_exit',
+'!pinPause',
+'!tackWatermarkSet::on_iteration',
+'#te::DFA',
+' Thread::call_run',
+'(oops_do',
+'&InVMfromNative::ThreadInVMfromNative',
+'&LocalAllocBuffer::fill',
+'8refill_waste_limit_increment',
+':tire_before_allocation',
+'&SafepointState::handle_polling_page_exception',
+'&s::possibly_parallel_oops_do',
+'\'ListHandle::~ThreadsListHandle',
+'!ypeArrayKlass::allocate_common',
+' Unsafe_Park',
+'\'Unpark',
+' VMError::is_error_reported',
+'"Thread::evaluate_operation',
+'+xecute',
+'*inner_execute',
+'*run',
+'*wait_until_executed',
+'"_G1CollectForAllocation::doit',
+'#Operation::evaluate',
+' WorkerThread::run',
+',s::run_task',
+' [not_walkable_Java]',
+'!unknown]',
+'(_Java]',
+'!vdso]',
+' _SafeFetchN_fault',
+'!_GI___libc_free',
+'\'pthread_disable_asynccancel',
+'/enable_asynccancel',
+'/mutex_unlock_usercnt',
+'\'read',
+'\'writev',
+'"_pthread_cond_timedwait64',
+'0wait',
+'+mutex_lock',
+'#slab_alloc',
+'"alloc_pages',
+'(skb',
+'"build_skb_around',
+'"call_rcu_common.constprop.0',
+'#heck_object_size',
+'3.part.0',
+'#ond_resched',
+'$py_skb_header',
+'"dev_queue_xmit',
+'#o_softirq',
+'"ep_remove',
+'"fdget',
+'\'_pos',
+'#get_light',
+'#utex_abstimed_wait_cancelable64',
+'(queue',
+'(unqueue',
+'"get_obj_cgroup_from_memcg',
+'&task_ioprio',
+'&user_8',
+'+nocheck_4',
+'"handle_mm_fault',
+'#rtimer_init',
+'"inet_lookup_established',
+'#p_finish_output',
+'%local_out',
+'%queue_xmit',
+'#rq_exit_rcu',
+'"kfree_skb',
+'"libc_send',
+'#ll_lock_wait',
+'-ke',
+'#ocal_bh_enable_ip',
+'"malloc',
+'#emcg_kmem_charge_page',
+'&py_avx_unaligned_erms',
+')sse2_unaligned_erms',
+'%move_avx_unaligned',
+'*sse2_unaligned',
+'%set_avx2_unaligned',
+'7_erms',
+'#od_timer',
+'#utex_lock.constprop.0',
+',_slowpath',
+'"napi_poll',
+'#etif_receive_skb',
+'3_core.constprop.0',
+'4one_core',
+')x',
+'$w_sem_post',
+'#f_conntrack_find_get?[nf_conntrack]',
+'&t_refresh_acct?[nf_conntrack]',
+'"pte_offset_map_lock',
+'$hread_cleanup_pop',
+'*mutex_cond_lock',
+'#ut_user_8',
+'+nocheck_4',
+'38',
+'"raw_spin_lock_irqsave',
+'#cu_read_lock',
+'+unlock',
+'#ecv',
+'$lease_sock',
+'#mqueue_pcplist',
+'#seq_handle_notify_resume',
+'#un_timers',
+'"schedule',
+'#iphash_unaligned',
+'#k_dst_check',
+'%mem_reclaim',
+'+duce_allocated',
+'$b_clone',
+'&datagram_iter',
+'#lab_free',
+'#ock_wfree',
+'#ys_recvfrom',
+'&sendto',
+'"tcp_ack_snd_check',
+'&cleanup_rbuf',
+'&push_pending_frames',
+'&select_window',
+'(nd_ack.part.0',
+'&transmit_skb',
+'#ls_get_addr',
+'.@plt',
+'._slow',
+'"usecs_to_jiffies',
+'"virt_addr_valid',
+'"wake_up_common_lock',
+'*sync_key',
+'#rite',
+'"x64_sys_epoll_ctl',
+'0wait',
+'*futex',
+'*read',
+',cvfrom',
+'*sendto',
+'*write',
+'/v',
+'#86_indirect_thunk_rax',
+'6dx',
+'#frm_policy_check2.constprop.0',
+'!copy_from_iter',
+'+user',
+'&to_iter',
+'!dl_update_slotinfo',
+'!int_free',
+'!raw_spin_lock',
+'._bh',
+'/irq',
+'2save',
+'*unlock',
+'0_bh',
+'1irq',
+'4restore',
+'%write_lock_irq',
+'+unlock_irq',
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+'Z4',
+'XImpl$6',
+']7',
+'DrequestFilters',
+'FsponseAsync',
+'Q0',
+'QImpl',
+'LFilters',
+'6PlainHttpConnection$$Lambda.0x00007f7cc8195800.get',
+'7ullPublisher$Subscription$PullTask.run',
+'P.request',
+'C.subscribe',
+'6RedirectFilter.request',
+'8questPublishers$ByteArrayPublisher.copy',
+'[subscribe',
+'8sponse.<init>',
+'>Content$FixedLengthBodyParser.onSubscribe',
+'>Subscribers$$Lambda.0x00007f7cc8214000.run',
+'a880.accept',
+'JByteArraySubscriber.onComplete',
+'`Subscribe',
+'I.getBodyAsync',
+'Jlambda$getBodyAsync$2',
+'^3',
+'6SocketTube$InternalReadPublisher$InternalReadSubscription$$Lambda.0x00007f7cc81937b8.run',
+'f7cc819ab40.run',
+'o.handlePending',
+'vSubscribeEvent',
+'pread',
+'rquest',
+'rsumeReadEvent',
+'psignalReadable',
+'vSubscribe',
+'WReadEvent.signalEvent',
+'[Subscription.<init>',
+'hrequest',
+'hsignalOnSubscribe',
+'V.subscribe',
+'IWriteSubscriber$$Lambda.0x00007f7cc819df30.run',
+'ncda00.run',
+'ne7480.run',
+'YWriteSubscription.requestMore',
+'X.onNext',
+'[Subscribe',
+'YrequestMore',
+'YstartSubscription',
+'YtryFlushCurrent',
+'ASliceBufferSource.append',
+'SgetBuffer',
+'BocketFlowEvent.handle',
+'KTask.run',
+'@.connectFlows',
+'AlistOf',
+'AonNext',
+'CSubscribe',
+'AreadAvailable',
+'CsumeEvent',
+'Asubscribe',
+'AwriteAvailable',
+'6common/Demand.<init>',
+'DtryDecrement',
+'=HttpBodySubscriberWrapper$SubscriptionWrapper.request',
+'V.complete',
+'WonComplete',
+'YSubscribe',
+'WtryRegister',
+'ZUnregister',
+'AHeadersBuilder$$Lambda.0x00007f7cc80cb040.apply',
+'O.addHeader',
+'Pbuild',
+'Plambda$addHeader$0',
+'PsetHeader',
+'=MinimalFuture.completedFuture',
+'KnewIncompleteFuture',
+'=SequentialScheduler$CompleteRestartableTask.run',
+'QLockingRestartableTask.run',
+'QSchedulableTask.run',
+'QTryEndDeferredCompleter.complete',
+'P.<init>',
+'QlockingScheduler',
+'QrunOrSchedule',
+'Qstop',
+'=Utils$$Lambda.0x00007f7cc801f470.run',
+'Z690.test',
+'Zaf8.test',
+'Zd40.test',
+'X22498.test',
+'Y3238.test',
+'W1cf340.test',
+'B.encode',
+'CgetBuffer',
+'FDebugLogger',
+'FIntegerNetProperty',
+'CisValidName',
+'JValue',
+'Clambda$getIntegerNetProperty$14',
+'Jstatic$13',
+'Q2',
+'Q3',
+'Q6',
+'Cremaining',
+'6frame/SettingsFrame.toByteArray',
+'PBuffer',
+'-reflect/DirectConstructorHandleAccessor.invokeImpl',
+'UnewInstance',
+'5Reflection.isSameClassPackage',
+'@verifyMemberAccess',
+'-util/ArraysSupport.mismatch',
+'-vm/Continuation.doYield',
+'=enter',
+'B0',
+'BSpecial',
+'=run',
+'=yield',
+'B0',
+'!iffies_to_usecs',
+'"nt_disjoint_arraycopy',
+'!long_disjoint_arraycopy',
+'!ni_ExceptionOccurred',
+'$GetArrayLength',
+'\'ByteArrayRegion',
+'\'ObjectField',
+'$SetByteArrayRegion',
+'!short_disjoint_arraycopy',
+' kfree',
+'%_skbmem',
+'!malloc_reserve',
+'"em_cache_alloc_node',
+'+free',
+'!sys_read',
+'%write',
+'!time_add_safe',
+'&get',
+')_seconds',
+'*with_offset',
+' lock_sock_nested',
+'%timer_base',
+'"ng* thaw<Config<(oop_kind)0, G1BarrierSet> >',
+'"opback_xmit',
+' mangle_path',
+'!em_cgroup_charge_skmem',
+'+handle_over_high',
+'+uncharge_skmem',
+'#cg_slab_post_alloc_hook',
+'#set_orig',
+'!od_memcg_state',
+'$timer',
+'!utex_lock',
+' napi_consume_skb',
+'"tive_queued_spin_lock_slowpath',
+'!eigh_hh_output',
+'"t_rx_action',
+'#dev_core_pick_tx',
+'#if_rx_internal',
+'&skb_features',
+'!f_confirm?[nf_conntrack]',
+'&ntrack_handle_packet?[nf_conntrack]',
+'-in?[nf_conntrack]',
+'-put',
+'-tcp_packet?[nf_conntrack]',
+'$t_get_tuple?[nf_conntrack]',
+'&seq_offset?[nf_conntrack]',
+'#hook_slow',
+'"t_counter_eval?[nf_tables]',
+'$do_chain?[nf_tables]',
+',_ipv4?[nf_tables]',
+'$immediate_eval?[nf_tables]',
+'$meta_get_eval?[nf_tables]',
+')store_ifname?[nf_tables]',
+'!method::oops_do',
+'0_process_weak',
+'!s_to_timespec64',
+' one/nio/http/HttpServer.handleRequest',
+'3ssion.handleParsedRequest',
+'9parseRequest',
+':rocessHttpBuffer',
+'@Read',
+'9sendResponse',
+':tartParsingRequestBody',
+'9writeResponse',
+'-PathMapper.find',
+'-Request.<init>',
+'5getHeader',
+'8Parameter',
+':th',
+'8RequiredParameter',
+'5toBytes',
+'7String',
+'6rim',
+'/sponse.<init>',
+'6toBytes',
+'(net/NativeSelector$2.findNext',
+'=next',
+':.epollWait',
+';select',
+'3ocket.read',
+'9write',
+',Session$ArrayQueueItem.write',
+'3.listen',
+'4process',
+'4read',
+'4write',
+'(server/SelectorThread.run',
+'1rver.incRequestsProcessed',
+'(util/ByteArrayBuilder.<init>',
+'>append',
+'-URLEncoder.decode',
+'.tf8.isAsciiString',
+'2length',
+'2read',
+'2startsWith',
+'2toAsciiString',
+'2write',
+'!opDesc* JNIHandles::resolve_impl<0ul, false>',
+'\'::address_field_acquire',
+'7put',
+'#Factory::new_objArray',
+'0typeArray',
+'!s::free',
+'$javaTimeMillis',
+',Nanos',
+',SystemUTC',
+'$malloc',
+' pipe_write',
+'!list_add',
+'&del',
+'!ost_alloc_hook',
+'!rocess_backlog',
+'!thread_cond_signal@@GLIBC_2.3.2',
+'(mutex_trylock@@GLIBC_2.34',
+'.unlock@@GLIBC_2.2.5',
+' qdisc_pkt_len_init',
+' raw_local_deliver',
+'$v4_input',
+'!b_erase',
+'#first',
+'#next',
+'!ead_tsc',
+'"balance_domains',
+'"fill_stock',
+'"lease_sock',
+'"p_movs_alternative',
+'"solve_normal_ct?[nf_conntrack]',
+'!mqueue',
+'\'_bulk',
+'!seq_get_rseq_cs',
+'%ip_fixup',
+'%update_cpu_node_id',
+'!u/vk/itmo/test/osokindm/DaoWrapper.getMemorySegment',
+'Dupsert',
+'9HttpServerImpl$$Lambda.0x00007f7cc814e8b8.run',
+'_ad8.run',
+'G.handleAsync',
+'NRequest',
+'Hlambda$handleAsync$1',
+'URequest$0',
+'9RendezvousRouter.getNodes',
+'9ServiceImpl$$Lambda.0x00007f7cc8164000.apply',
+'D.entity',
+'EforwardRequestToNode',
+'EgetTimestamp',
+'EhandleRequestLocally',
+'EmakeProxyRequest',
+'EprocessedResponse',
+'EsendRequestsToNodes',
+'9dao/MemTable.upsert',
+'@orySegmentComparator.compare',
+'=ReferenceDao.upsert',
+'=TableSet.upsert',
+'"n_rebalance_domains',
+'$timer_softirq',
+'!w_verify_area',
+' schedule',
+'(_hrtimeout_range',
+'8_clock',
+'!ecurity_file_permission',
+')sock_rcv_skb',
+'-et_recvmsg',
+'0sendmsg',
+'"lect_estimate_accuracy',
+'"q_file_path',
+'$path',
+'$read',
+'(_iter',
+'!hould_failslab',
+'#w_map',
+'(_vma',
+'!imple_copy_to_iter',
+'!k_filter_trim_cap',
+'$orced_mem_schedule',
+'$ree',
+'#page_frag_refill',
+'#reset_timer',
+'"b_attempt_defer_free',
+'$clone',
+')_tx_timestamp',
+'%opy_datagram_iter',
+'%sum_hwoffload_help',
+'$do_copy_data_nocache',
+'$free_head',
+'$network_protocol',
+'$page_frag_refill',
+'$release_data',
+',head_state',
+'$try_coalesce',
+'!lab_update_freelist.constprop.0.isra.0',
+'!ock_def_readable',
+'%poll',
+'%read_iter',
+'\'cvmsg',
+'&free',
+'%write_iter',
+'$fd_lookup_light',
+'!rso_return_thunk',
+'%safe_ret',
+'!tart_thread',
+'"rncpy',
+'!un/net/NetProperties.get',
+'9Integer',
+'(spi/DefaultProxySelector$3.run',
+'@.select',
+'%io/ch/AllocatedNativeObject.<init>',
+'+EPoll.ctl',
+'1wait',
+'0SelectorImpl.clearInterrupt',
+'=doSelect',
+'=processEvents',
+'DUpdateQueue',
+'=setEventOps',
+'=wakeup',
+',ventFD.reset',
+'3set',
+'60',
+'+IOUtil.drain',
+'2read',
+'6IntoNativeBuffer',
+'2write',
+'-VecWrapper.<init>',
+'8get',
+'+NativeObject.<init>',
+'+SelectionKeyImpl.interestOps',
+'1orImpl.begin',
+'8end',
+'8lockAndDoSelect',
+'8processReadyEvents',
+'8select',
+'>Now',
+',ocketChannelImpl.getLocalAddress',
+'=read',
+'=write',
+'1Dispatcher.read',
+'@0',
+'<writev',
+'B0',
+'+Util$2.clear',
+'2iterator',
+'/.getTemporaryDirectBuffer',
+')s/UTF_16BE$Decoder.<init>',
+'3.newDecoder',
+',nicodeDecoder.<init>',
+'!yscall',
+'\'_enter_from_user_mode',
+')xit_to_user_mode',
+'#vec_apic_timer_interrupt',
+'\'call_function_single',
+'\'reschedule_ipi',
+' tcp_ack',
+'\'_tstamp',
+'(update_rtt',
+'$check_space',
+'&rono_start',
+'-op',
+'%lean_rtx_queue.constprop.0',
+')up_rbuf',
+'%urrent_mss',
+'%wnd_validate',
+'$data_queue',
+')ready',
+'%elack_timer',
+'0_handler',
+'$established_options',
+'%vent_data_recv',
+'*new_data_sent',
+'$filter',
+'$grow_window',
+'$in_window?[nf_conntrack]',
+'&bound_md5_hash',
+'$mstamp_refresh',
+'%tu_probe',
+'$newly_delivered',
+'$parse_md5sig_option',
+'%oll',
+'%ush',
+'$queue_rcv',
+'$rate_check_app_limited',
+')gen',
+')skb_delivered',
+'-sent',
+'%btree_insert',
+'%cv_established',
+'(space_adjust',
+'%earm_rto',
+'&cv_timestamp',
+'(msg',
+'+_locked',
+'&lease_cb',
+'%tt_estimator',
+'$schedule_loss_probe',
+'%end_ack',
+')delayed_ack',
+')mss',
+'(msg',
+'+_locked',
+'%kb_entail',
+'%mall_queue_check.isra.0',
+'%tream_alloc_skb',
+'+memory_free',
+'$try_coalesce',
+'%so_segs',
+'$update_pacing_rate',
+'+recv_tstamps',
+'+skb_after_send',
+'$v4_do_rcv',
+'\'rcv',
+'\'send_check',
+'$wfree',
+'%rite_xmit',
+'$xmit_recovery',
+'!hread_native_entry',
+'!imespec64_add_safe',
+'!ry_charge_memcg',
+'$to_wake_up',
+' unsafe_arraycopy',
+'!pdate_blocked_averages',
+'\'get_addr',
+'\'register_map1',
+' validate_xmit_skb',
+'.xfrm',
+'!fs_read',
+'$write',
+')v',
+'!oid AccessInternal::arraycopy_conjoint<signed char>',
+'%OopMapDo<OopClosure, DerivedOopClosure, SkipNullValue>::iterate_oops_do<RegisterMap>',
+'%WeakProcessor::Task::work<G1STWIsAliveClosure, G1KeepAliveClosure>',
+'!table stub',
+' wake_q_add_safe',
+'%up_q',
+'!riteBytes'
+];
+unpack(cpool);
+
+n(3,7015)
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diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_get.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_get.html
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index 000000000..121e0a2a1
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_get.html
@@ -0,0 +1,651 @@
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+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 704px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>Lock profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(44);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
+	}
+
+	const canvas = document.getElementById('canvas');
+	const c = canvas.getContext('2d');
+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
+
+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
+			color: getColor(palette[key & 7]), title: cpool[key >>> 3],
+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' RequestHandler0_entity.handleRequest',
+' java.lang.Class',
+'*Object',
+'%util.concurrent.locks.ReentrantLock$NonfairSync',
+'$/lang/Thread.run',
+'4With',
+'*VirtualThread$VThreadContinuation$1.run',
+'7.run',
+'%util/concurrent/ArrayBlockingQueue.offer',
+'Htake',
+'5CompletableFuture$AsyncSupply.run',
+'GCompletion.run',
+'GUniApply.tryFire',
+'JCompletion.claim',
+'Nose.tryFire',
+'F.complete',
+'Ghandle',
+'GpostComplete',
+'KFire',
+'GthenCompose',
+'GuniComposeStage',
+'JHandle',
+'PStage',
+'5ThreadPerTaskExecutor$TaskRunner.run',
+'<oolExecutor$Worker.run',
+'G.execute',
+'HgetTask',
+'HrunWorker',
+'5locks/AbstractQueuedSynchronizer$ConditionObject.await',
+'U.acquire',
+']Interruptibly',
+';LockSupport.park',
+';ReentrantLock$Sync.lock',
+'RInterruptibly',
+'H.lock',
+'MInterruptibly',
+'!dk.internal.net.http.AuthenticationFilter$Cache',
+'6HttpClientImpl',
+'#/internal/misc/Unsafe.park',
+'-net/http/AuthenticationFilter$Cache.get',
+'J.getCache',
+'Krequest',
+'Msponse',
+'6ConnectionPool$CleanupTrigger.onSubscribe',
+'Tsubscribe',
+'D.purgeExpiredConnectionsAndReturnNextDeadline',
+'EregisterCleanupTrigger',
+'GturnToPool',
+'6Exchange$$Lambda.0x00007f2e2815d230.apply',
+'T9cd80.apply',
+'>.checkFor407',
+'?lambda$responseAsyncImpl0$8',
+'Y9',
+'?responseAsync',
+'LImpl',
+'P0',
+'6Http1AsyncReceiver$$Lambda.0x00007f2e28191980.run',
+'IHttp1TubeSubscriber.requestMore',
+'H.checkRequestMore',
+'Iflush',
+'IhandlePendingDelegate',
+';Exchange$$Lambda.0x00007f2e281ade10.apply',
+'DHttp1Publisher.subscribe',
+'C.connectFlows',
+'Dlambda$sendHeadersAsync$4',
+'DsendHeadersAsync',
+';Response$$Lambda.0x00007f2e281e72e0.run',
+'DBodyReader.handle',
+'OonSubscribe',
+'OtryAsyncReceive',
+'DHeadersReader.handle',
+'RtryAsyncReceive',
+'DReceiver.accept',
+'C.onFinished',
+':ClientFacade.sendAsync',
+'@Impl$DelegatingExecutor.execute',
+'ESelectorManager.eventUpdated',
+'Uregister',
+'Vun',
+'D.eventUpdated',
+'EpurgeTimeoutsAndReturnNextDeadline',
+'EregisterEvent',
+'EsendAsync',
+';onnection.closeOrReturnToCache',
+'6MultiExchange$$Lambda.0x00007f2e28159790.apply',
+'Yb6368.apply',
+'C.lambda$responseAsync0$2',
+'XImpl$6',
+'DrequestFilters',
+'FsponseAsyncImpl',
+'LFilters',
+'6ResponseContent$FixedLengthBodyParser.accept',
+'\\onSubscribe',
+'6SocketTube$InternalReadPublisher$InternalReadSubscription.request',
+'rsumeReadEvent',
+'psignalSubscribe',
+'WReadSubscription.request',
+'hsignalOnSubscribe',
+'V.subscribe',
+'IWriteSubscriber.onSubscribe',
+'@.connectFlows',
+'AonSubscribe',
+'AresumeEvent',
+'Asubscribe',
+'6common/SequentialScheduler$CompleteRestartableTask.run',
+'QLockingRestartableTask.run',
+'QSchedulableTask.run',
+'QTryEndDeferredCompleter.complete',
+'-vm/Continuation.enter',
+'B0',
+' one.nio.http.HttpSession',
+'#/nio/http/HttpServer.handleRequest',
+'3ssion.handleParsedRequest',
+'9processHttpBuffer',
+'@Read',
+'9sendResponse',
+'(net/Session.process',
+'(server/SelectorThread.run',
+' ru/vk/itmo/test/osokindm/HttpServerImpl$$Lambda.0x00007f2e2814e8b8.run',
+'_ad8.run',
+'G.handleAsync',
+'NRequest',
+'Hlambda$handleAsync$1',
+'URequest$0',
+'9ServiceImpl.entity',
+'EforwardRequestToNode',
+'EmakeProxyRequest',
+'EsendRequestsToNodes',
+' sun/nio/ch/EPollSelectorImpl.clearInterrupt',
+'=doSelect',
+'=processEvents',
+'=wakeup',
+'+SelectorImpl.lockAndDoSelect',
+'8select',
+'>Now'
+];
+unpack(cpool);
+
+n(3,90490)
+u(41,13552)
+u(49)
+u(201)
+u(225)
+u(217,12505)
+u(81)
+u(233,424)
+u(241)
+u(257)
+u(313)
+u(34)
+f(289,7,424,12081)
+u(273)
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+u(241)
+u(257)
+u(313)
+u(34)
+f(961,5,12081,1047)
+u(985)
+u(953)
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+u(897)
+u(9)
+u(929,3)
+u(890)
+f(1001,11,3,1044)
+u(1025)
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+u(1017)
+u(601)
+u(665)
+u(665)
+u(665)
+u(306)
+f(633,1,1044,15792)
+u(281,529)
+u(265)
+u(241)
+u(241)
+u(257)
+u(313)
+u(34)
+f(369,2,529,1549)
+u(369)
+u(281)
+u(265)
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+u(313)
+u(34)
+f(649,2,1549,271)
+u(306)
+f(1073,2,271,13374)
+u(1065)
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+u(26)
+f(1081,2,13374,69)
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+u(257)
+u(313)
+u(34)
+
+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_get.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_get.png
new file mode 100644
index 000000000..021b2d96f
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_get.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_put.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_put.html
new file mode 100644
index 000000000..7795163ea
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_put.html
@@ -0,0 +1,687 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 912px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>Lock profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(57);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
+	}
+
+	const canvas = document.getElementById('canvas');
+	const c = canvas.getContext('2d');
+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
+
+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
+			color: getColor(palette[key & 7]), title: cpool[key >>> 3],
+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' RequestHandler0_entity.handleRequest',
+' java.lang.Class',
+'*Object',
+'%util.concurrent.locks.ReentrantLock$NonfairSync',
+'$/lang/Thread.run',
+'4With',
+'*VirtualThread$VThreadContinuation$1.run',
+'7.run',
+'%util/concurrent/ArrayBlockingQueue.offer',
+'Htake',
+'5CompletableFuture$AsyncSupply.run',
+'GCompletion.run',
+'GUniApply.tryFire',
+'JCompletion.claim',
+'Nose.tryFire',
+'F.complete',
+'OAsync',
+'Ghandle',
+'GpostComplete',
+'KFire',
+'GthenCompose',
+'GuniComposeStage',
+'JHandle',
+'PStage',
+'5ThreadPerTaskExecutor$TaskRunner.run',
+'<oolExecutor$Worker.run',
+'G.execute',
+'HgetTask',
+'HrunWorker',
+'5locks/AbstractQueuedSynchronizer$ConditionObject.await',
+'U.acquire',
+']Interruptibly',
+';LockSupport.park',
+';ReentrantLock$Sync.lock',
+'RInterruptibly',
+'H.lock',
+'MInterruptibly',
+'!dk.internal.net.http.AuthenticationFilter$Cache',
+'6HttpClientImpl',
+'#/internal/misc/Unsafe.park',
+'-net/http/AuthenticationFilter$Cache.get',
+'J.getCache',
+'Krequest',
+'Msponse',
+'6ConnectionPool$CleanupTrigger.onSubscribe',
+'Tsubscribe',
+'D.purgeExpiredConnectionsAndReturnNextDeadline',
+'EregisterCleanupTrigger',
+'GturnToPool',
+'6Exchange$$Lambda.0x00007f2e2815d230.apply',
+'T9cd80.apply',
+'>.checkFor407',
+'?lambda$responseAsyncImpl0$8',
+'Y9',
+'?readBodyAsync',
+'AsponseAsync',
+'LImpl',
+'P0',
+'6Http1AsyncReceiver$$Lambda.0x00007f2e28191980.run',
+'IHttp1TubeSubscriber.requestMore',
+'H.checkRequestMore',
+'Iflush',
+'IhandlePendingDelegate',
+'Isubscribe',
+';Exchange$$Lambda.0x00007f2e281ade10.apply',
+'DHttp1Publisher$Http1WriteSubscription.request',
+'SWriteTask.run',
+'R.subscribe',
+'C.connectFlows',
+'DgetOutgoing',
+'Dlambda$sendHeadersAsync$4',
+'DreadBodyAsync',
+'DsendHeadersAsync',
+';Response$$Lambda.0x00007f2e281e5fc8.run',
+'Z72e0.run',
+'DBodyReader.onSubscribe',
+'DHeadersReader.handle',
+'RtryAsyncReceive',
+'DReceiver.accept',
+'C.lambda$readBody$3',
+'DonFinished',
+'DreadBody',
+':ClientFacade.sendAsync',
+'@Impl$DelegatingExecutor.execute',
+'ESelectorManager.eventUpdated',
+'Uregister',
+'Vun',
+'D.eventUpdated',
+'EpurgeTimeoutsAndReturnNextDeadline',
+'EregisterEvent',
+'EsendAsync',
+';onnection.closeOrReturnToCache',
+'6MultiExchange$$Lambda.0x00007f2e28159790.apply',
+'Za080.apply',
+'Yb6368.apply',
+'C.lambda$responseAsync0$2',
+'Z4',
+'XImpl$6',
+'DrequestFilters',
+'FsponseAsyncImpl',
+'LFilters',
+'6ResponseContent$FixedLengthBodyParser.onSubscribe',
+'6SocketTube$InternalReadPublisher$InternalReadSubscription.request',
+'rsumeReadEvent',
+'psignalSubscribe',
+'WReadSubscription.request',
+'hsignalOnSubscribe',
+'V.subscribe',
+'IWriteSubscriber$$Lambda.0x00007f2e281b8230.run',
+'YWriteSubscription.requestMore',
+'X.onSubscribe',
+'YrequestMore',
+'@.connectFlows',
+'AonSubscribe',
+'AresumeEvent',
+'Asubscribe',
+'6common/SequentialScheduler$CompleteRestartableTask.run',
+'QLockingRestartableTask.run',
+'QSchedulableTask.run',
+'QTryEndDeferredCompleter.complete',
+'P.runOrSchedule',
+'-vm/Continuation.enter',
+'B0',
+' one.nio.http.HttpSession',
+'#/nio/http/HttpServer.handleRequest',
+'3ssion.handleParsedRequest',
+'9processHttpBuffer',
+'@Read',
+'9sendResponse',
+'(net/Session.process',
+'(server/SelectorThread.run',
+' ru/vk/itmo/test/osokindm/HttpServerImpl$$Lambda.0x00007f2e2814e8b8.run',
+'_ad8.run',
+'G.handleAsync',
+'NRequest',
+'Hlambda$handleAsync$1',
+'URequest$0',
+'9ServiceImpl.entity',
+'EforwardRequestToNode',
+'EmakeProxyRequest',
+'EsendRequestsToNodes',
+' sun/nio/ch/EPollSelectorImpl.clearInterrupt',
+'=doSelect',
+'=processEvents',
+'=wakeup',
+'+SelectorImpl.lockAndDoSelect',
+'8select',
+'>Now'
+];
+unpack(cpool);
+
+n(3,142684)
+u(41,743)
+u(49)
+u(209)
+u(233)
+u(225,554)
+u(81)
+u(241,408)
+u(249)
+u(265)
+u(321)
+u(34)
+f(297,7,408,146)
+u(281)
+u(257)
+u(249)
+u(265)
+u(321)
+u(34)
+f(1065,5,146,189)
+u(1089)
+u(1057)
+u(1097)
+u(1001)
+u(9)
+u(1033,187)
+u(994)
+f(1105,11,187,2)
+u(1129)
+u(1113)
+u(1121)
+u(665)
+u(729)
+u(729)
+u(729)
+u(314)
+f(697,1,2,16188)
+u(289,446)
+u(273)
+u(249)
+u(249)
+u(265)
+u(321)
+u(34)
+f(377,2,446,950)
+u(377)
+u(289)
+u(273)
+u(249)
+u(249)
+u(265)
+u(321)
+u(34)
+f(713,2,950,2)
+u(314)
+f(1177,2,2,14570)
+u(1169)
+u(1145)
+u(1153)
+u(1137)
+u(26)
+f(1185,2,14570,220)
+u(1169)
+u(1145)
+u(1153)
+u(1137)
+u(26)
+f(977,1,220,125369)
+u(985)
+u(57)
+u(65)
+u(49)
+u(201)
+u(89,50633)
+u(153)
+u(121)
+u(745)
+u(769)
+u(801)
+u(449,50480)
+u(457)
+u(465)
+u(145)
+u(193)
+u(185)
+u(409)
+u(433)
+u(417)
+u(401)
+u(425)
+u(585)
+u(169)
+u(177)
+u(521)
+u(569)
+u(553)
+u(905)
+u(545,1974)
+u(913)
+u(889)
+u(721)
+u(689)
+u(1161)
+u(26)
+f(929,31,1974,48506)
+u(865)
+u(841,48499)
+u(721)
+u(689)
+u(1161)
+u(26)
+f(857,33,48499,7)
+u(361)
+u(849)
+u(825)
+u(833)
+u(921)
+u(705)
+u(681)
+u(689)
+u(1161)
+u(26)
+f(793,13,7,153)
+u(345)
+u(329,4)
+u(306)
+f(337,15,4,149)
+u(18)
+f(873,7,149,4)
+u(897)
+u(881)
+u(529)
+u(969)
+u(969)
+u(673)
+u(953)
+u(937)
+u(945)
+u(537)
+u(561)
+u(137)
+u(673)
+u(89)
+u(153)
+u(121)
+u(753)
+u(777)
+u(441)
+u(577)
+u(657)
+u(673)
+u(593)
+u(641)
+u(513)
+u(969)
+u(969)
+u(953)
+u(937)
+u(945)
+u(473)
+u(497)
+u(505)
+u(609)
+u(817)
+u(601)
+u(649)
+u(737)
+u(393)
+u(393)
+u(385)
+u(905)
+u(929)
+u(865)
+u(841)
+u(721)
+u(689)
+u(1161)
+u(26)
+f(953,7,4,74732)
+u(937)
+u(945,27601)
+u(473)
+u(497)
+u(489,27414)
+u(481)
+u(849)
+u(825)
+u(833)
+u(921)
+u(705)
+u(681)
+u(689)
+u(1161)
+u(26)
+f(625,12,27414,187)
+u(633)
+u(617)
+u(617)
+u(129)
+u(153)
+u(105)
+u(113)
+u(673)
+u(97)
+u(105)
+u(161)
+u(153)
+u(121)
+u(761)
+u(785)
+u(809)
+u(353)
+u(337)
+u(18)
+f(961,9,187,47131)
+u(937)
+u(945)
+u(473)
+u(497)
+u(505,47122)
+u(609)
+u(817)
+u(601)
+u(649)
+u(737)
+u(393)
+u(393)
+u(385)
+u(905)
+u(369,1700)
+u(913)
+u(889)
+u(721)
+u(689)
+u(1161)
+u(26)
+f(929,24,1700,45422)
+u(865)
+u(841)
+u(721)
+u(689)
+u(1161)
+u(26)
+f(625,14,45422,9)
+u(633)
+u(617)
+u(617)
+u(129)
+u(153)
+u(105)
+u(113)
+u(673)
+u(97)
+u(105)
+u(161)
+u(153)
+u(121)
+u(761)
+u(785)
+u(809)
+u(353)
+u(337)
+u(18)
+f(1049,1,9,384)
+u(1041)
+u(994,44)
+n(1025,340)
+u(1017)
+u(1009)
+u(1081)
+u(1073)
+u(217)
+u(73)
+u(289)
+u(273)
+u(249)
+u(249)
+u(265)
+u(321)
+u(34)
+
+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_put.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_put.png
new file mode 100644
index 000000000..31c344a4e
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_lock_put.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_put_cpu.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_put_cpu.png
new file mode 100644
index 000000000..d21928eca
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/profile_put_cpu.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/put_4k.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/put_4k.png
new file mode 100644
index 000000000..e5f284ee7
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/profiler/put_4k.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/result_hw4.md b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/result_hw4.md
new file mode 100644
index 000000000..c8fa2aaf6
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw4/result_hw4.md
@@ -0,0 +1,299 @@
+## Репликация
+Требовалось реализовать поддержку хранения нескольких реплик данных в кластере для обеспечения отказоустойчивости.
+
+Рассмотрим изменения в производительности в сравнении с предыдущим этапом.
+
+### PUT
+До добавления репликации предельное количество запросов в секунду составляло 15000.
+
+Нагружаем новое решение, 4к rps
+<details>
+<summary>wrk</summary>
+<pre>
+ wrk -d 30 -t 64 -c 64 -R 4000 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/put_new.lua http://localhost:8080/v0/entity
+
+Thread Stats   Avg      Stdev     Max   +/- Stdev
+Latency    17.82ms   18.25ms  85.95ms   80.09%
+Req/Sec    62.38      7.78    89.00     81.17%
+Latency Distribution (HdrHistogram - Recorded Latency)
+50.000%   10.95ms
+75.000%   31.61ms
+90.000%   45.28ms
+99.000%   66.50ms
+99.900%   77.25ms
+99.990%   82.37ms
+99.999%   84.74ms
+100.000%   86.01ms
+
+</pre>
+</details>
+
+<details>
+<summary>График</summary>
+<img alt="4k put" src="../hw4/profiler/put_4k.png">
+</details>
+Можно сказать, что нагрузка является допустимой, так как кривая задержки не имеет резких скачков и максимальная задержка 86ms.
+
+Пробуем увеличить до 5к rps, сразу же получаем задержки в несколько секунд:
+<details>
+<summary>wrk</summary>
+<pre>
+ wrk -d 30 -t 64 -c 64 -R 5000 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/put_new.lua http://localhost:8080/v0/entity
+
+Thread Stats   Avg      Stdev     Max   +/- Stdev
+Latency     4.91s     1.79s    8.55s    60.85%
+Req/Sec    54.40      5.55    60.00     75.00%
+Latency Distribution (HdrHistogram - Recorded Latency)
+50.000%    4.70s
+75.000%    6.06s
+90.000%    7.89s
+99.000%    8.47s
+99.900%    8.51s
+99.990%    8.54s
+99.999%    8.55s
+100.000%    8.56s
+
+</pre>
+</details>
+
+**Профилирование**
+1. CPU
+
+<details>
+<summary>Флеймграф</summary>
+<img alt="put" src="../hw4/profiler/profile_put_cpu.png">
+</details>
+Первое, что заметно, 40% процессорного времени уходит на работу HttpClient. Наибольшая проблема заключается в том, что использованный client.sendAsync() не работает, так как все равно блокируемся на CompletableFuture.get. Получается, что лишь добавились накладные расходы на работу виртуальных потоков. 
+
+Выполнение локальных запросов занимает 27% времени процессора, тут никаких изменений относительно прошлой реализации нет. Ну и 12% на работу SelectorThread
+
+2. Alloc
+<details>
+<summary>Флеймграф</summary>
+<img alt="put" src="../hw4/profiler/profile_alloc_put.png">
+</details>
+
+Все так же 58% аллокаций связаны с выполнением работы Http Клиента, 1.5% из них уходят на создания новых CompletableFuture, от которых избавлюсь в следующем этапе.
+Дополнительные аллокации теперь также в методе entity() при вычислении номеров нод, на которые мы отправим запрос: в RendezvousRouter теперь на 1.41% больше аллокацих, приходящихся на TreeMap, на 0.7% больше аллокаций ArrayList, чего можно было избежать путем увеличения нагрузки на cpu (пришлось бы запускать дополнительные сортировки).
+
+Последнее, в прошлом этапе 4% приходилось на логгер (в частности внутри метода entity), я не сразу это заметил, поэтому исправил в данном решении.
+
+
+3. Lock
+
+<details>
+<summary>Флеймграф</summary>
+<img alt="put" src="../hw4/profiler/profile_lock_put.png">
+</details>
+
+Из заметного: 3.27% локов приходились на злополучный логгер, теперь таких затрат нет. 
+В остальном: 32% уходят на работу с ответами нод - отправка response, регистрация событий селектора для установления соединения между нодами (34% отправка, 32% ожидание ответа)
+
+
+### GET
+
+Начнем с 2000 rps, как прошлом этапе:
+<details>
+<summary>wrk</summary>
+<pre>
+ wrk -d 30 -t 64 -c 64 -R 2000 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/get.lua http://localhost:8080/v0/entity
+
+Thread Stats   Avg      Stdev     Max   +/- Stdev
+Latency     5.63s     1.61s    8.50s    57.74%
+Req/Sec     1.43k     0.47     1.43k   100.00%
+Latency Distribution (HdrHistogram - Recorded Latency)
+50.000%    5.62s
+75.000%    7.03s
+90.000%    7.86s
+99.000%    8.36s
+99.900%    8.46s
+99.990%    8.50s
+99.999%    8.51s
+100.000%    8.51s
+
+
+
+</pre>
+</details>
+
+
+1500 rps:
+<details>
+<summary>wrk</summary>
+<pre>
+ wrk -d 30 -t 64 -c 64 -R 1500 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/get.lua http://localhost:8080/v0/entity
+
+Thread Stats   Avg      Stdev     Max   +/- Stdev
+Latency   406.33ms  261.34ms   1.11s    58.58%
+Req/Sec    22.06      5.72    44.00     75.90%
+Latency Distribution (HdrHistogram - Recorded Latency)
+50.000%  376.06ms
+75.000%  644.61ms
+90.000%  758.78ms
+99.000%  921.09ms
+99.900%    1.01s
+99.990%    1.09s
+99.999%    1.12s
+100.000%    1.12s
+
+</pre>
+</details>
+
+Задержка все еще стабильно высокая.
+
+Наконец 1200 rps:
+
+<details>
+<summary>wrk</summary>
+<pre>
+ wrk -d 30 -t 64 -c 64 -R 1200 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/get.lua http://localhost:8080/v0/entity
+
+
+Thread Stats   Avg      Stdev     Max   +/- Stdev
+Latency    17.17ms    9.07ms  38.37ms   60.97%
+Req/Sec    18.77     18.12    62.00     89.45%
+Latency Distribution (HdrHistogram - Recorded Latency)
+50.000%   17.01ms
+75.000%   24.21ms
+90.000%   29.18ms
+99.000%   34.08ms
+99.900%   36.70ms
+99.990%   38.14ms
+99.999%   38.40ms
+100.000%   38.40ms
+
+Detailed Percentile spectrum:
+Value   Percentile   TotalCount 1/(1-Percentile)
+
+       0.460     0.000000            1         1.00
+       2.577     0.100000         2398         1.11
+       8.319     0.200000         4797         1.25
+      12.559     0.300000         7195         1.43
+      14.527     0.400000         9592         1.67
+      17.007     0.500000        11992         2.00
+      17.951     0.550000        13187         2.22
+      19.903     0.600000        14390         2.50
+      21.599     0.650000        15595         2.86
+      22.591     0.700000        16797         3.33
+      24.207     0.750000        17980         4.00
+      25.743     0.775000        18583         4.44
+      26.575     0.800000        19187         5.00
+      27.183     0.825000        19798         5.71
+      27.711     0.850000        20384         6.67
+      28.335     0.875000        20984         8.00
+      28.703     0.887500        21281         8.89
+      29.183     0.900000        21585        10.00
+      29.759     0.912500        21880        11.43
+      30.559     0.925000        22176        13.33
+      31.295     0.937500        22484        16.00
+      31.551     0.943750        22626        17.78
+      31.855     0.950000        22787        20.00
+      32.095     0.956250        22923        22.86
+      32.367     0.962500        23080        26.67
+      32.671     0.968750        23227        32.00
+      32.863     0.971875        23304        35.56
+      33.055     0.975000        23379        40.00
+      33.247     0.978125        23453        45.71
+      33.407     0.981250        23527        53.33
+      33.599     0.984375        23610        64.00
+      33.663     0.985938        23635        71.11
+      33.855     0.987500        23676        80.00
+      33.983     0.989062        23713        91.43
+      34.111     0.990625        23749       106.67
+      34.239     0.992188        23784       128.00
+      34.335     0.992969        23804       142.22
+      34.495     0.993750        23822       160.00
+      34.655     0.994531        23846       182.86
+      34.783     0.995313        23862       213.33
+      34.975     0.996094        23879       256.00
+      35.135     0.996484        23888       284.44
+      35.263     0.996875        23897       320.00
+      35.519     0.997266        23906       365.71
+      35.903     0.997656        23917       426.67
+      36.159     0.998047        23925       512.00
+      36.287     0.998242        23930       568.89
+      36.415     0.998437        23937       640.00
+      36.447     0.998633        23939       731.43
+      36.511     0.998828        23944       853.33
+      36.703     0.999023        23948      1024.00
+      36.863     0.999121        23950      1137.78
+      36.991     0.999219        23953      1280.00
+      37.055     0.999316        23956      1462.86
+      37.087     0.999414        23957      1706.67
+      37.183     0.999512        23960      2048.00
+      37.439     0.999561        23961      2275.56
+      37.535     0.999609        23962      2560.00
+      37.567     0.999658        23963      2925.71
+      37.663     0.999707        23964      3413.33
+      37.791     0.999756        23966      4096.00
+      37.791     0.999780        23966      4551.11
+      38.047     0.999805        23967      5120.00
+      38.047     0.999829        23967      5851.43
+      38.143     0.999854        23969      6826.67
+      38.143     0.999878        23969      8192.00
+      38.143     0.999890        23969      9102.22
+      38.143     0.999902        23969     10240.00
+      38.143     0.999915        23969     11702.86
+      38.175     0.999927        23970     13653.33
+      38.175     0.999939        23970     16384.00
+      38.175     0.999945        23970     18204.44
+      38.175     0.999951        23970     20480.00
+      38.175     0.999957        23970     23405.71
+      38.399     0.999963        23971     27306.67
+      38.399     1.000000        23971          inf
+#[Mean    =       17.174, StdDeviation   =        9.070]
+#[Max     =       38.368, Total count    =        23971]
+#[Buckets =           27, SubBuckets     =         2048]
+----------------------------------------------------------
+36009 requests in 30.01s, 2.30MB read
+Non-2xx or 3xx responses: 21532
+Requests/sec:   1200.02
+Transfer/sec:     78.39KB
+</pre>
+</details>
+
+<details>
+<summary>График зависимости задержки от %</summary>
+<img alt="put" src="../hw4/profiler/get_graph.png">
+</details>
+
+Результат: равномерное увеличение задержки, отсутствие резких скачков, максимальная задержка 38.4ms.
+
+**Профилирование**
+
+1. CPU
+
+Был проведен тест двух случаев: в первом случае ключи, по которым производился поиск были преимущественно добавлены в бд, во втором случае преимущественно отсутствовали.
+В первом случае локальная обработка запрос с дальнейшим поиском по БД заняла всего 4.5%
+<details>
+<summary>Флеймграф</summary>
+<img alt="put" src="../hw4/profiler/profile_cpu_get.png">
+</details>
+
+Во втором - 87%
+<details>
+<summary>Флеймграф</summary>
+<img alt="put" src="../hw4/profiler/profile_cpu_get2.png">
+</details>
+
+Если же сравнивать первый флеймграф с ситуацией в PUT, то можно заметить, что в случае с PUT больше процессорного времени уходит на чтение сессии one/nio/net/Session.read с дальнейшей обработкой системных вызовов (5% против 1.74% у GET)
+2. Alloc
+<details>
+<summary>Флеймграф</summary>
+<img alt="put" src="../hw4/profiler/profile_alloc_get.png">
+</details>
+
+Нет существенных отличий от PUT
+
+3. Lock 
+
+<details>
+<summary>Флеймграф</summary>
+<img alt="put" src="../hw4/profiler/profile_lock_get.png">
+</details>
+
+ Блокировок больше, чем при PUT. Добавился ReentrantLock, который составляет 13% локов и обеспечивает процесс one/nio/http/HttpSession.processRead
+ 
+**Вывод**
+
+С добавлением репликации пропускная способность PUT упала почти в 4 раза, а GET - в 1.6 раз. 
\ No newline at end of file
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_get.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_get.html
new file mode 100644
index 000000000..57a6aeb82
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_get.html
@@ -0,0 +1,3339 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 768px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>Allocation profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(48);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
+	}
+
+	const canvas = document.getElementById('canvas');
+	const c = canvas.getContext('2d');
+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
+
+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
+			color: getColor(palette[key & 7]), title: cpool[key >>> 3],
+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' RequestHandler0_entity.handleRequest',
+' byte[]',
+' ch.qos.logback.classic.spi.LoggingEvent',
+'0ore.util.CachingDateFormatter$CacheTuple',
+'"/qos/logback/classic/Logger.appendLoopOnAppenders',
+'>buildLoggingEventAndAppend',
+'>callAppenders',
+'>filterAndLog_0_Or3Plus',
+'>info',
+'7layout/TTLLLayout.doLayout',
+'7spi/LoggingEvent.<init>',
+'0ore/OutputStreamAppender.append',
+'IsubAppend',
+'IwriteOut',
+'4UnsynchronizedAppenderBase.doAppend',
+'4encoder/LayoutWrappingEncoder.convertToBytes',
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+']95868',
+'9ServiceImpl$$Lambda.0x00007f4f2418f3b0',
+'\\810',
+'9dao.BaseEntry',
+'"/vk/itmo/test/osokindm/DaoWrapper.get',
+'GMemorySegment',
+'9HttpServerImpl$$Lambda.0x00007f4f2414eb08.run',
+'^fc08.run',
+'G.handleAsync',
+'NRequest',
+'Hlambda$handleAsync$1',
+'URequest$0',
+'9RendezvousRouter.getNodes',
+';questHandler$$Lambda.0x00007f4f24185240.apply',
+']95868.get',
+'G.forwardRequestToNode',
+'HhandleRequestLocally',
+'Hlambda$processRequest$0',
+'HmakeProxyRequest',
+'HprocessRequest',
+'OedResponse',
+'9ServiceImpl$$Lambda.0x00007f4f2418f3b0.accept',
+'D.dispatchRequestsToNodes',
+'Eentity',
+'FxtractTimestampFromResponse',
+'EhandleTimestampHeader',
+'Elambda$dispatchRequestsToNodes$0',
+'EupdateLatestResponse',
+'9dao/ReferenceDao.get',
+'=SSTable.get',
+'=TableSet.get',
+' sun.net.spi.DefaultProxySelector$3',
+'#/net/spi/DefaultProxySelector$3.run',
+'@.select',
+'%io/ch/EPollSelectorImpl.doSelect',
+'=processEvents',
+'+SelectorImpl.lockAndDoSelect',
+'8processReadyEvents',
+'8select',
+'>Now',
+'+Util$2.iterator'
+];
+unpack(cpool);
+
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+
+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_get.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_get.png
new file mode 100644
index 000000000..f8ced2382
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_get.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_put.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_put.html
new file mode 100644
index 000000000..cce69d731
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_put.html
@@ -0,0 +1,3662 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 944px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>Allocation profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(59);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
+	}
+
+	const canvas = document.getElementById('canvas');
+	const c = canvas.getContext('2d');
+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
+
+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
+			color: getColor(palette[key & 7]), title: cpool[key >>> 3],
+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' RequestHandler0_entity.handleRequest',
+' byte[]',
+' ch.qos.logback.classic.spi.LoggingEvent',
+'"/qos/logback/classic/Logger.appendLoopOnAppenders',
+'>buildLoggingEventAndAppend',
+'>callAppenders',
+'>filterAndLog_0_Or3Plus',
+'>info',
+'7layout/TTLLLayout.doLayout',
+'7spi/LoggingEvent.<init>',
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+'IsubAppend',
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+'Rencode',
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+'-SocketAddress',
+':$InetSocketAddressHolder',
+')URI',
+',$Parser',
+')http.HttpHeaders',
+'9$$Lambda.0x00007f4f2416f598',
+'&io.ByteBuffer[]',
+')HeapByteBuffer',
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+'/Time',
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+'I.getBodyAsync',
+'Jlambda$getBodyAsync$2',
+'^3',
+'6SocketTube$InternalReadPublisher$InternalReadSubscription$$Lambda.0x00007f4f241c0ae0.run',
+'f4f241c28f0.run',
+'o.handlePending',
+'vSubscribeEvent',
+'pread',
+'rquest',
+'rsumeReadEvent',
+'psignalReadable',
+'WReadEvent.signalEvent',
+'[Subscription.<init>',
+'hrequest',
+'hsignalOnSubscribe',
+'V.subscribe',
+'IWriteSubscriber$$Lambda.0x00007f4f241c4ff0.run',
+'ne8680.run',
+'YWriteSubscription.requestMore',
+'X.onNext',
+'[Subscribe',
+'YrequestMore',
+'YstartSubscription',
+'YtryFlushCurrent',
+'ASliceBufferSource.append',
+'SgetBuffer',
+'BocketFlowEvent.handle',
+'KTask.run',
+'@.connectFlows',
+'AlistOf',
+'AonNext',
+'CSubscribe',
+'AreadAvailable',
+'CsumeEvent',
+'Asubscribe',
+'AwriteAvailable',
+'6common/Demand.<init>',
+'=HttpBodySubscriberWrapper$$Lambda.0x00007f4f24034720.apply',
+'V.<init>',
+'Wcomplete',
+'WonComplete',
+'YSubscribe',
+'WtryRegister',
+'ZUnregister',
+'AHeadersBuilder$$Lambda.0x00007f4f240cb6e8.apply',
+'O.<init>',
+'PaddHeader',
+'Pbuild',
+'Plambda$addHeader$0',
+'PsetHeader',
+'=MinimalFuture.completedFuture',
+'KnewIncompleteFuture',
+'=SequentialScheduler$CompleteRestartableTask.run',
+'QLockingRestartableTask.<init>',
+'hrun',
+'QSchedulableTask.run',
+'QTryEndDeferredCompleter.complete',
+'P.<init>',
+'QlockingScheduler',
+'QrunOrSchedule',
+'=Utils$$Lambda.0x00007f4f24022498.test',
+'Y3238.test',
+'B.CONTEXT_RESTRICTED',
+'CgetBuffer',
+'Clambda$static$13',
+'Q6',
+'6frame/SettingsFrame.<init>',
+'JtoByteArray',
+'-reflect/DirectConstructorHandleAccessor.invokeImpl',
+'UnewInstance',
+'5ReflectionFactory.copyConstructor',
+'-vm/Continuation.enter',
+'B0',
+' one.nio.http.Request',
+'/sponse',
+'(net.NativeSelector$2',
+',Session$ArrayQueueItem',
+'#/nio/http/HttpServer.handleRequest',
+'3ssion.handleParsedRequest',
+'9parseRequest',
+':rocessHttpBuffer',
+'@Read',
+'9sendResponse',
+':tartParsingRequestBody',
+'9writeResponse',
+'-Request.<init>',
+'5getHeader',
+'8Parameter',
+':th',
+'8RequiredParameter',
+'5trim',
+'/sponse.<init>',
+'6toBytes',
+'(net/NativeSelector.select',
+',Session.process',
+'4write',
+'(server/SelectorThread.run',
+'(util/ByteArrayBuilder.<init>',
+'-Utf8.read',
+'2toAsciiString',
+' ru.vk.itmo.test.osokindm.HttpServerImpl$$Lambda.0x00007f4f2414eb08',
+'^fc08',
+'9RequestHandler$$Lambda.0x00007f4f24185240',
+']95868',
+'9ServiceImpl$$Lambda.0x00007f4f2418f3b0',
+'\\810',
+'9dao.BaseEntry',
+'=SSTableWriter$$Lambda.0x00007f4f2422ca40',
+'"/vk/itmo/test/osokindm/DaoWrapper.getMemorySegment',
+'Dupsert',
+'9HttpServerImpl$$Lambda.0x00007f4f2414eb08.run',
+'^fc08.run',
+'G.handleAsync',
+'NRequest',
+'Hlambda$handleAsync$1',
+'URequest$0',
+'9RendezvousRouter.getNodes',
+';questHandler$$Lambda.0x00007f4f24185240.apply',
+']95868.get',
+'G.forwardRequestToNode',
+'HhandleRequestLocally',
+'Hlambda$processRequest$0',
+'HmakeProxyRequest',
+'HprocessRequest',
+'OedResponse',
+'9ServiceImpl$$Lambda.0x00007f4f2418f3b0.accept',
+'D.dispatchRequestsToNodes',
+'Eentity',
+'EhandleTimestampHeader',
+'Elambda$dispatchRequestsToNodes$0',
+'9dao/ReferenceDao$$Lambda.0x00007f4f24196e08.run',
+'I.lambda$initiateFlush$2',
+'Jupsert',
+'=SSTableWriter.write',
+'PEntry',
+'PSegment',
+' sun.net.spi.DefaultProxySelector$3',
+'#/net/spi/DefaultProxySelector$3.run',
+'@.select',
+'%io/ch/EPollSelectorImpl.doSelect',
+'=processEvents',
+'+SelectorImpl.lockAndDoSelect',
+'8processReadyEvents',
+'8select',
+'>Now',
+'+Util$2.iterator'
+];
+unpack(cpool);
+
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+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_put.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_put.png
new file mode 100644
index 000000000..87b397a4f
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_alloc_put.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_get.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_get.png
new file mode 100644
index 000000000..87323bc45
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_get.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_get2.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_get2.html
new file mode 100644
index 000000000..05e8965ed
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_get2.html
@@ -0,0 +1,7147 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 1360px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>CPU profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
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+	const status = document.getElementById('status');
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+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
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+	c.font = document.body.style.font;
+
+	const palette = [
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+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
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+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
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+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
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+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
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+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
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+	function samples(n) {
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+	function pct(a, b) {
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+	}
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+	function findFrame(frames, x) {
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+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
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+				return f;
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+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
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+	function render(newRoot, newLevel) {
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+		function totalMarked() {
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+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
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+				if (f.width * px >= 21) {
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+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
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+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
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+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
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+		canvas.style.cursor = '';
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+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' AbstractICache::invalidate_word',
+'!ccessInternal::PostRuntimeDispatch<G1BarrierSet::AccessBarrier<283686ul, G1BarrierSet>, (AccessInternal::BarrierType)4, 283686ul>::oop_access_barrier',
+'b6822ul, G1BarrierSet>, (AccessInternal::BarrierType)1, 286822ul>::oop_access_barrier',
+'sInternal::BarrierType)3, 286822ul>::oop_access_barrier',
+'`4481126ul, G1BarrierSet>, (AccessInternal::BarrierType)1, 4481126ul>::oop_access_barrier',
+'`548964ul, G1BarrierSet>, (AccessInternal::BarrierType)0, 548964ul>::oop_access_barrier',
+'sInternal::BarrierType)2, 548964ul>::oop_access_barrier',
+'a94020ul, G1BarrierSet>, (AccessInternal::BarrierType)2, 594020ul>::oop_access_barrier',
+'b8116ul, G1BarrierSet>, (AccessInternal::BarrierType)2, 598116ul>::oop_access_barrier',
+'!llocTracer::send_allocation_in_new_tlab',
+'=outside_tlab',
+'%ateHeap',
+'!ssembler::locate_operand',
+' BarrierSetNMethod::guard_value',
+'3nmethod_stub_entry_barrier',
+'3set_guard_value',
+'4upports_entry_barrier',
+' CardTableBarrierSet::on_slowpath_allocation_exit',
+'!lassLoaderData::holder',
+'1oops_do',
+'/Graph::roots_cld_do',
+'!odeBlob::is_upcall_stub',
+'*oop_map_for_return_address',
+'$CacheUnloadingTask::claim_nmethods',
+'8work',
+'$Heap::find_blob',
+'"llectedHeap::fill_with_object',
+'"mpiledIC::CompiledIC',
+'(Method::cleanup_inline_caches_impl',
+'0unload_nmethod_caches',
+'"ncurrentGCThread::run',
+'#stantPool::name_and_type_ref_index_at',
+'#t thaw',
+'$inuation::prepare_thaw',
+'.set_cont_fastpath_thread_state',
+',Entry::flush_stack_processing',
+' DerivedPointerTable::update_pointers',
+' FastThreadsListHandle::FastThreadsListHandle',
+'!reeCSetClosure::do_heap_region',
+'$ListAllocator::allocate',
+'3release',
+'5set',
+'$ze<Config<(oop_kind)0, G1BarrierSet> >::allocate_chunk',
+'&Base::freeze_fast_copy',
+' G1AllocRegion::new_alloc_region_and_allocate',
+'\'ator::unsafe_max_tlab_alloc',
+'"BarrierSet::invalidate',
+'$tchedTask::work',
+'"CLDScanClosure::do_cld',
+'#MConcurrentMarkingTask::work',
+'$RemarkTask::work',
+'%ootRegionScanTask::work',
+'$Task::do_marking_step',
+'+rain_global_stack',
+'0local_queue',
+'*get_entries_from_global_stack',
+'*regular_clock_call',
+'#ardSetMemoryManager::memory_stats',
+'&Table::g1_mark_as_young',
+'#learBitMapTask::G1ClearBitmapHRClosure::do_heap_region',
+'3work',
+'#odeBlobClosure::do_code_blob',
+'&RootSet::contains',
+'$llectedHeap::allocate_new_tlab',
+'2ttempt_allocation_slow',
+'1do_collection_pause_at_safepoint',
+'Q_helper',
+'1fill_with_dummy_object',
+'2ree_region',
+'1mem_allocate',
+'1par_iterate_regions_array',
+'2rint_on',
+'1rebuild_free_region_list',
+'$ncurrentMark::remark',
+'2scan_root_region',
+'2try_stealing',
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+'2Thread::run_service',
+'"DirtyCardQueueSet::concatenate_log_and_stats',
+'"EvacuateRegionsBaseTask::work',
+'1Task::evacuate_live_objects',
+'7scan_roots',
+'"HeapPrinterMark::~G1HeapPrinterMark',
+'"MergeHeapRootsTask::work',
+'"NUMA::index_of_current_thread',
+'#methodProcessor::do_regular_processing',
+'"ParCopyClosure<(G1Barrier)0, false>::do_oop',
+'?true>::do_oop',
+'<1, true>::do_oop',
+'%EvacuateFollowersClosure::do_void',
+'%ScanThreadState::copy_to_survivor_space',
+'6steal_and_trim_queue',
+'6trim_queue_to_threshold',
+'%allelCleaningTask::work',
+'#olicy::should_allocate_mutator_region',
+'$stEvacuateCollectionSetCleanupTask2::FreeCollectionSetTask::do_work',
+'#reEvacuateCollectionSetBatchTask::JavaThreadRetireTLABAndFlushLogs::do_work',
+'%pareEvacuationTask::G1PrepareRegionsClosure::do_heap_region',
+'9work',
+'$imaryConcurrentRefineThread::do_refinement_step',
+'"RebuildRSAndScrubTask::G1RebuildRSAndScrubRegionClosure::do_heap_region',
+'9work',
+'$gionsOnNodes::add',
+'$mSet::scan_heap_roots',
+'#ootProcessor::evacuate_roots',
+'1process_java_roots',
+'"SATBMarkQueueSet::filter',
+'#canHRForRegionClosure::scan_heap_roots',
+'"YoungCollector::collect',
+'2evacuate_initial_collection_set',
+'2post_evacuate_collection_set',
+'!CHeapLog::log_heap',
+'!enericTaskQueue<G1TaskQueueEntry, (MEMFLAGS)5, 131072u>::pop_global',
+'^local',
+'!lobalCounter::write_synchronize',
+' HSpaceCounters::update_used',
+'!andleArea::oops_do',
+'&Mark::initialize',
+',pop_and_restore',
+'!eapRegion::fill_with_dummy_object',
+',hr_clear',
+'*Manager::par_iterate',
+'3rebuild_free_list',
+'*RemSet::card_set_memory_stats',
+'3lear_locked',
+' ImmutableOopMap::oops_do',
+'!nstanceKlass::allocate_instance',
+'8objArray',
+'0rray_klass',
+'"terpreterOopMap::iterate_oop',
+'!sUnloadingBehaviour::is_unloading',
+' JNIHandleBlock::allocate_handle',
+')s::make_local',
+',resolve_external_guard',
+'!VM_GetNanoTimeAdjustment',
+'$IHashCode',
+'!avaFrameAnchor::make_walkable',
+'$Thread::is_active_Java_thread',
+'/interrupted',
+',oops_do_frames',
+'4no_frames',
+',pd_last_frame',
+',rebind_to_jvmti_thread_state_of',
+',threadObj',
+'$_java_io_FileOutputStream_writeBytes',
+'%one_nio_net_NativeSelector_epollWait',
+'8ocket_read',
+'>write',
+'%sun_nio_ch_EventFD_set0',
+'0SocketDispatcher_writev0',
+'!frObjectAllocationSample::send_event',
+'!vmtiEnvBase::is_valid',
+'(ThreadEventEnable::JvmtiEnvThreadEventEnable',
+';~JvmtiEnvThreadEventEnable',
+'.State::~JvmtiEnvThreadState',
+'&ventController::thread_ended',
+'=started',
+'4Private::recompute_thread_enabled',
+'&xport::cleanup_thread',
+'-get_field_access_count_addr',
+'-jvmti_oop_storage',
+'%ThreadState::JvmtiThreadState',
+'2set_thread',
+'2~JvmtiThreadState',
+'%VTMSTransitionDisabler::VTMS_mount_end',
+'Bvthread_end',
+'Jmount',
+'Jstart',
+'Junmount',
+'=finish_VTMS_transition',
+'=start_VTMS_transition',
+' Klass::check_array_allocation_length',
+' MarkBitMap::do_clear',
+'!emAllocator::Allocation::notify_allocation_jfr_sampler',
+'.allocate',
+'.mem_allocate_inside_tlab_slow',
+'"thod::is_method',
+'1_handle_intrinsic',
+'!utex::lock',
+'+_contended',
+'\'unlock',
+' ObjAllocator::initialize',
+'$rrayAllocator::initialize',
+'#ectMonitor::EnterI',
+'/TrySpin',
+'/enter',
+'/object_peek',
+'&Sampler::is_created',
+'\'ynchronizer::FastHashCode',
+'4enter',
+'4inflate',
+'4quick_enter',
+'!opStorage::BasicParState::claim_next_segment',
+'-lock::release_entries',
+',allocate',
+',release',
+'!ptoRuntime::is_deoptimized_caller_frame',
+'-new_array_C',
+'7nozero_C',
+'1instance_C',
+' Parker::park',
+'(unpark',
+'!rofiler::GarbageCollectionFinish',
+'!trQueueSet::install_new_buffer',
+'-try_enqueue',
+' ReferenceProcessor::discover_reference',
+'4weak_oops_do',
+'"gisterMap::RegisterMap',
+'"locIterator::advance_over_prefix',
+'/initialize',
+'"questHandler0_entity.handleRequest',
+'"sourceArea::rollback_to',
+' SATBMarkQueueSet::enqueue_known_active',
+'2handle_zero_index',
+'!afeThreadsListPtr::release_stable_list',
+'$pointMechanism::process',
+')Synchronize::block',
+'!haredRuntime::complete_monitor_locking_C',
+'/notify_jvmti_vthread_end',
+'Dmount',
+'Dstart',
+'Dunmount',
+'/on_slowpath_allocation_exit',
+' TaskTerminator::TaskTerminator',
+'!haw<Config<(oop_kind)0, G1BarrierSet> >::thaw_fast',
+'"read::call_run',
+'(oops_do',
+'&InVMfromNative::ThreadInVMfromNative',
+'&LocalAllocBuffer::end_reserve',
+'8fill',
+'8retire_before_allocation',
+'8thread',
+'&s::possibly_parallel_oops_do',
+';threads_do',
+'\'ListHandle::~ThreadsListHandle',
+'!ypeArrayKlass::allocate_common',
+' Unsafe_Park',
+'\'Unpark',
+' VMError::is_error_reported',
+'"Thread::evaluate_operation',
+'+xecute',
+'*inner_execute',
+'*run',
+'"_G1CollectForAllocation::doit',
+'%PauseConcurrent::doit',
+'#Operation::evaluate',
+' WorkerThread::run',
+',s::run_task',
+' [no_Java_frame]',
+'#t_walkable_Java]',
+'!unknown]',
+'(_Java]',
+'!vdso]',
+' _SafeFetch32_fault',
+'*N_fault',
+'!_GI___errno_location',
+'\'libc_free',
+'\'pthread_cleanup_push',
+'0ond_broadcast',
+'4init',
+'/disable_asynccancel',
+'/enable_asynccancel',
+'\'read',
+'\'writev',
+'"_pthread_cond_timedwait64',
+'0wait',
+'+mutex_lock',
+'"alloc_skb',
+'"check_object_size',
+'3.part.0',
+'#ond_resched',
+'$py_skb_header',
+'"dev_queue_xmit',
+'#o_softirq',
+'&ys_getrusage',
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+'I.getBodyAsync',
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+'YstartSubscription',
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+'KcompletedFuture',
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+'=SequentialScheduler$CompleteRestartableTask.run',
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+'%disjoint_arraycopy',
+'!long_disjoint_arraycopy',
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+'$SetByteArrayRegion',
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+'!malloc_reserve',
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+'+free',
+'!sys_read',
+'%write',
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+')_seconds',
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+' lock_sock_nested',
+'%timer_base',
+'"ng* thaw<Config<(oop_kind)0, G1BarrierSet> >',
+'"opback_xmit',
+' mem_cgroup_charge_skmem',
+'+handle_over_high',
+'+uncharge_skmem',
+'#cg_slab_post_alloc_hook',
+'#set_orig',
+'"tadata_Relocation::metadata_value',
+'!od_memcg_state',
+'$timer',
+'!utex_lock',
+'&unlock',
+' napi_consume_skb',
+'"tive_queued_spin_lock_slowpath',
+'!eigh_hh_output',
+'"t_rx_action',
+'#dev_core_pick_tx',
+'#if_rx_internal',
+'!f_confirm?[nf_conntrack]',
+'&ntrack_handle_packet?[nf_conntrack]',
+'-in?[nf_conntrack]',
+'-tcp_packet?[nf_conntrack]',
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+'#hook_slow',
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+'$do_chain?[nf_tables]',
+',_ipv4?[nf_tables]',
+'$immediate_eval?[nf_tables]',
+'$meta_get_eval?[nf_tables]',
+')store_ifname?[nf_tables]',
+'!method::call_wrapper_at',
+')do_unloading',
+')oops_do',
+'0_process_strong',
+'9weak',
+'\'_entry_barrier',
+' one/nio/http/HttpServer.findHandlerByHost',
+'8handleRequest',
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+'@Read',
+'9sendResponse',
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+'-URLEncoder.decode',
+'.tf8.isAsciiString',
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+'2toAsciiString',
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+'6_acquire',
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+'-_given_klass',
+'#_Relocation::oop_value',
+'0unpack_data',
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+'!pen64',
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+'$malloc',
+'!utputStream::do_vsnprintf_and_write_with_automatic_buffer',
+'.print',
+' path_openat',
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+' raw_local_deliver',
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+'!b_first',
+'!ead_tsc',
+'"lease_sock',
+'"p_movs_alternative',
+'"solve_normal_ct?[nf_conntrack]',
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+'!seq_get_rseq_cs',
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+'%update_cpu_node_id',
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+'EupdateLatestResponse',
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+'@orySegmentComparator.compare',
+'=ReferenceDao.get',
+'=SSTable.entryBinarySearch',
+'JOffset',
+'Eget',
+'HLongValue',
+'=TableSet.get',
+'"n_rebalance_domains',
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+'!w_verify_area',
+' schedule',
+'(_hrtimeout_range',
+'8_clock',
+'!ecurity_file_permission',
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+'-et_recvmsg',
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+')_tx_timestamp',
+'%opy_datagram_iter',
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+'$do_copy_data_nocache',
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+'&ut',
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+'$net/NetProperties.get',
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+'+EPoll.wait',
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+'+NativeObject.<init>',
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+'1orImpl.end',
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+'>Now',
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+'=getLocalAddress',
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+'FReadyOps',
+'=write',
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+'+Util$2.clear',
+'2iterator',
+'/.getTemporaryDirectBuffer',
+'!yscall',
+'\'_enter_from_user_mode',
+')xit_to_user_mode',
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+'%ush',
+'$queue_rcv',
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+')gen',
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+'-sent',
+'%btree_insert',
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+'%earm_rto',
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+'%tream_alloc_skb',
+'+memory_free',
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+'$update_recv_tstamps',
+'+skb_after_send',
+'%rg',
+'$v4_do_rcv',
+'\'fill_cb',
+'\'rcv',
+'\'send_check',
+'$wfree',
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+'!hread_native_entry',
+'!ry_charge_memcg',
+'$to_wake_up',
+' unsafe_arraycopy',
+'#igned long BitMap::find_first_bit_impl<0ul, false>',
+'!pdate_blocked_averages',
+'\'get_addr',
+'\'register_map1',
+' validate_xmit_skb',
+'.xfrm',
+'!fs_read',
+'$write',
+')v',
+'!oid AccessInternal::arraycopy_conjoint<signed char>',
+'%G1CMTask::process_grey_task_entry<true>',
+'\'ScanCardClosure::do_oop_work<narrowOop>',
+'%OopMapDo<OopClosure, DerivedOopClosure, SkipNullValue>::iterate_oops_do<RegisterMap>',
+'(OopIterateBackwardsDispatch<G1ScanEvacuatedObjClosure>::Table::oop_oop_iterate_backwards<InstanceKlass, narrowOop>',
+'2Dispatch<G1CMOopClosure>::Table::oop_oop_iterate<InstanceKlass, narrowOop>',
+'kMirrorKlass, narrowOop>',
+'kRefKlass, narrowOop>',
+'cObjArrayKlass, narrowOop>',
+'=RebuildRemSetClosure>::Table::oop_oop_iterate<InstanceKlass, narrowOop>',
+'kObjArrayKlass, narrowOop>',
+'>ootRegionScanClosure>::Table::oop_oop_iterate<InstanceKlass, narrowOop>',
+'=ScanCardClosure>::Table::oop_oop_iterate<InstanceKlass, narrowOop>',
+'fObjArrayKlass, narrowOop>',
+'%WeakProcessor::Task::work<G1CMIsAliveClosure, DoNothingClosure>',
+'ASTWIsAliveClosure, G1KeepAliveClosure>',
+'4weak_oops_do<G1CMIsAliveClosure, DoNothingClosure>',
+'!table stub',
+' wake_q_add_safe',
+'%up_q',
+'!riteBytes'
+];
+unpack(cpool);
+
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+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_put.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_put.html
new file mode 100644
index 000000000..b11000ea8
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_put.html
@@ -0,0 +1,9245 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 1856px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>CPU profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(116);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
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+
+	const canvas = document.getElementById('canvas');
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+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
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+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
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+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' AccessInternal::PostRuntimeDispatch<G1BarrierSet::AccessBarrier<286822ul, G1BarrierSet>, (AccessInternal::BarrierType)1, 286822ul>::oop_access_barrier',
+'sInternal::BarrierType)3, 286822ul>::oop_access_barrier',
+'`4481126ul, G1BarrierSet>, (AccessInternal::BarrierType)1, 4481126ul>::oop_access_barrier',
+'`544868ul, G1BarrierSet>, (AccessInternal::BarrierType)2, 544868ul>::oop_access_barrier',
+'b8964ul, G1BarrierSet>, (AccessInternal::BarrierType)0, 548964ul>::oop_access_barrier',
+'sInternal::BarrierType)2, 548964ul>::oop_access_barrier',
+'a94020ul, G1BarrierSet>, (AccessInternal::BarrierType)2, 594020ul>::oop_access_barrier',
+'b8116ul, G1BarrierSet>, (AccessInternal::BarrierType)2, 598116ul>::oop_access_barrier',
+'!ddPNode::bottom_type',
+'!llocTracer::send_allocation_in_new_tlab',
+'%ateHeap',
+'!ssembler::locate_operand',
+' C2Compiler::compile_method',
+'!ardTableBarrierSet::on_slowpath_allocation_exit',
+'!lassLoaderData::holder',
+'!odeBlob::is_upcall_stub',
+'$Cache::allocate',
+'+find_blob',
+'$Heap::allocate',
+'*find_blob',
+'*search_freelist',
+'"llectedHeap::fill_with_object',
+'/resize_all_tlabs',
+'"mpilation::Compilation',
+'-compile_method',
+'-install_code',
+'&e::Code_Gen',
+'+mpile',
+')Optimize',
+')final_graph_reshaping',
+'>_walk',
+'\'Broker::compiler_thread_loop',
+'/invoke_compiler_on_method',
+'\'r::compile_method',
+'$ositeElapsedCounterSource::now',
+'"nt thaw',
+'$inuation::prepare_thaw',
+'.set_cont_fastpath_thread_state',
+' Dict::Insert',
+' FastThreadsListHandle::FastThreadsListHandle',
+'!reeCSetClosure::do_heap_region',
+'$ListAllocator::release',
+'$ze<Config<(oop_kind)0, G1BarrierSet> >::allocate_chunk',
+'&Base::freeze_fast_copy',
+' G1AllocRegion::new_alloc_region_and_allocate',
+'\'ator::survivor_attempt_allocation',
+'-unsafe_max_tlab_alloc',
+'"BatchedTask::work',
+'"CardSet::reset_table_scanner',
+'&Table::g1_mark_as_young',
+'-is_in_young',
+'#odeBlobClosure::do_code_blob',
+'&RootSet::contains',
+'$llectedHeap::allocate_new_tlab',
+'2ttempt_allocation_slow',
+'1do_collection_pause_at_safepoint',
+'Q_helper',
+'1fill_with_dummy_object',
+'1max_tlab_size',
+'1new_mutator_alloc_region',
+'5region',
+'1par_iterate_regions_array',
+'1requires_barriers',
+'1unsafe_max_tlab_alloc',
+'$ncurrentRefine::max_num_threads',
+'"DirtyCardQueueSet::concatenate_log_and_stats',
+'5enqueue_completed_buffer',
+'"EvacPhaseTimesTracker::~G1EvacPhaseTimesTracker',
+'&uateRegionsBaseTask::work',
+'1Task::evacuate_live_objects',
+'7scan_roots',
+'"FromCardCache::clear',
+'"MergeHeapRootsTask::work',
+'"NUMA::index_of_current_thread',
+'#methodProcessor::do_regular_processing',
+'"PLABAllocator::allocate_direct_or_new_plab',
+'#arCopyClosure<(G1Barrier)0, false>::do_oop',
+'%EvacuateFollowersClosure::do_void',
+'%ScanThreadState::allocate_copy_slow',
+'6steal_and_trim_queue',
+'6trim_queue_to_threshold',
+'#olicy::should_allocate_mutator_region',
+'$stEvacuateCollectionSetCleanupTask2::FreeCollectionSetTask::do_work',
+'IResizeTLABsTask::do_work',
+'#reEvacuateCollectionSetBatchTask::JavaThreadRetireTLABAndFlushLogs::do_work',
+'%pareEvacuationTask::G1PrepareRegionsClosure::do_heap_region',
+'9work',
+'"RebuildFreeListTask::work',
+'$mSet::scan_heap_roots',
+'(TrackingPolicy::update_at_allocate',
+'#ootProcessor::evacuate_roots',
+'1process_java_roots',
+'"ScanHRForRegionClosure::scan_heap_roots',
+'#urvivorRegions::length',
+'"YoungCollector::collect',
+'2post_evacuate_collection_set',
+'3rocess_discovered_references',
+'!lobalCounter::write_synchronize',
+' HandleMark::initialize',
+',pop_and_restore',
+',~HandleMark',
+'$shakeState::has_async_exception_operation',
+'4operation',
+'!eapRegion::fill_with_dummy_object',
+'*Manager::allocate_free_region',
+'3par_iterate',
+'*RemSet::add_code_root',
+'*Tracer::send_region_type_change',
+' IdealLoopTree::compute_profile_trip_cnt',
+'/loop_predication',
+'!fNode::Ideal',
+'-_common',
+'!mmutableOopMapSet::find_map_at_offset',
+'!ndexSet::initialize',
+'"stanceKlass::allocate_instance',
+'8objArray',
+'0rray_klass',
+'/mask_for',
+' JNIHandleBlock::allocate_handle',
+'0oops_do',
+')s::make_local',
+',resolve_external_guard',
+'!VM_GetNanoTimeAdjustment',
+'$IHashCode',
+'!avaFrameAnchor::make_walkable',
+'$Thread::check_special_condition_for_native_trans',
+',is_active_Java_thread',
+'/interrupted',
+',jvmti_vthread',
+',oops_do_frames',
+'4no_frames',
+',rebind_to_jvmti_thread_state_of',
+',set_is_in_VTMS_transition',
+',threadObj',
+'2_main_inner',
+'$_java_io_FileOutputStream_writeBytes',
+'%one_nio_net_NativeSelector_epollWait',
+'8ocket_read',
+'>write',
+'%sun_nio_ch_EventFD_set0',
+'0IOUtil_drain',
+'0SocketDispatcher_read0',
+'Awritev0',
+'!frAllocationTracer::JfrAllocationTracer',
+'#ObjectAllocationSample::send_event',
+'!vmtiEnvBase::is_valid',
+'(ThreadState::JvmtiEnvThreadState',
+'5has_frame_pops',
+'5~JvmtiEnvThreadState',
+'&ventController::thread_ended',
+'=started',
+'4Private::recompute_thread_enabled',
+'&xport::cleanup_thread',
+'-get_field_access_count_addr',
+'-jvmti_oop_storage',
+'%ObjectAllocEventCollector::JvmtiObjectAllocEventCollector',
+'%ThreadEventEnable::JvmtiThreadEventEnable',
+'+State::JvmtiThreadState',
+'2set_thread',
+'2~JvmtiThreadState',
+'%VTMSTransitionDisabler::VTMS_mount_end',
+'Bvthread_end',
+'Jmount',
+'Jstart',
+'Junmount',
+'=finish_VTMS_transition',
+'=start_VTMS_transition',
+' Klass::check_array_allocation_length',
+'\'is_klass',
+' MemAllocator::Allocation::notify_allocation_jfr_sampler',
+'Mvmti_sampler',
+'.allocate',
+'.mem_allocate_inside_tlab_slow',
+'"thod::mask_for',
+'!utatorAllocRegion::retire',
+'#ex::lock',
+'+_contended',
+',without_safepoint_check',
+'\'try_lock',
+'\'unlock',
+' ObjAllocator::initialize',
+'$rrayAllocator::initialize',
+'(Klass::array_klass',
+'#ectMonitor::EnterI',
+'/TrySpin',
+'/enter',
+'0xit',
+'&Sampler::is_created',
+'\'ynchronizer::FastHashCode',
+'4enter',
+'5xit',
+'4inflate',
+'4quick_enter',
+'!opStorage::Block::release_entries',
+',allocate',
+',release',
+'!ptoRuntime::is_deoptimized_caller_frame',
+'-new_array_C',
+'7nozero_C',
+'1instance_C',
+' PLAB::retire',
+'!arker::park',
+'(unpark',
+'!haseAggressiveCoalesce::coalesce',
+'%CCP::analyze',
+'&haitin::Register_Allocate',
+'.post_allocate_copy_removal',
+'&oalesce::coalesce_driver',
+'%IFG::Compute_Effective_Degree',
+'*effective_degree',
+'&dealLoop::build_and_optimize',
+'0loop_predication_impl',
+'0optimize',
+'&terGVN::optimize',
+'.remove_globally_dead_node',
+'.subsume_node',
+'.transform_old',
+'%Live::compute',
+'%Output::BuildOopMaps',
+'-Output',
+'!trQueueSet::try_enqueue',
+' ReferenceProcessor::process_discovered_references',
+'<soft_weak_final_refs',
+'4run_task',
+'"questHandler0_entity.handleRequest',
+'"sourceArea::rollback_to',
+' SafeThreadsListPtr::release_stable_list',
+'$pointMechanism::process',
+'4update_poll_values',
+')Synchronize::block',
+'6disarm_safepoint',
+'6end',
+'!haredRuntime::complete_monitor_locking_C',
+'@unlocking_C',
+'/notify_jvmti_vthread_end',
+'Dmount',
+'Dstart',
+'Dunmount',
+'/on_slowpath_allocation_exit',
+'!pinPause',
+'!tackWatermarkSet::head',
+'3lowest_watermark',
+' TaskTerminator::offer_termination',
+'!hawBase::thaw_slow',
+'"read::call_run',
+')laim_par_threads_do',
+'(is_lock_owned',
+'(oops_do',
+'&InVMfromNative::ThreadInVMfromNative',
+'&LocalAllocBuffer::end_reserve',
+'8fill',
+'8resize',
+':tire_before_allocation',
+'&s::possibly_parallel_oops_do',
+'\'ListHandle::~ThreadsListHandle',
+'!ype::hashcons',
+'$ArrayKlass::allocate_common',
+'&yPtr::add_offset',
+',hash',
+' Unique_Node_List::remove',
+'"safe_Park',
+'\'Unpark',
+' VMThread::evaluate_operation',
+'*inner_execute',
+'*run',
+'*wait_for_operation',
+'"_G1CollectForAllocation::doit',
+'#Operation::evaluate',
+' WorkerThread::run',
+' [not_walkable_Java]',
+'!unknown]',
+'(_Java]',
+'!vdso]',
+' _SafeFetch32_fault',
+'*N_fault',
+'!_GI___errno_location',
+'\'libc_free',
+'\'pthread_cleanup_push',
+'0ond_broadcast',
+'/disable_asynccancel',
+'/enable_asynccancel',
+'/mutex_unlock_usercnt',
+'\'read',
+'\'writev',
+'"_pthread_cond_timedwait64',
+'0wait',
+'+mutex_lock',
+'#slab_alloc',
+'"alloc_pages',
+'(skb',
+'"build_skb_around',
+'"check_object_size',
+'3.part.0',
+'#ond_resched',
+'$py_skb_header',
+'"dev_queue_xmit',
+'#o_softirq',
+'"ep_remove',
+'"fdget',
+'\'_pos',
+'#get_light',
+'#utex_abstimed_wait_cancelable64',
+'(queue',
+'(unqueue',
+'"get_task_ioprio',
+'&user_8',
+'+nocheck_4',
+'"hrtimer_init',
+'"import_iovec',
+'#net_lookup_established',
+'#p_finish_output',
+'%local_out',
+'%queue_xmit',
+'#rq_exit_rcu',
+'"kfree_skb',
+'"libc_connect',
+'\'send',
+'#ll_lock_wait',
+'-ke',
+'#ocal_bh_enable_ip',
+'"malloc',
+'#emcpy_sse2_unaligned_erms',
+'%move_avx_unaligned',
+'*sse2_unaligned',
+'%set_avx2_unaligned',
+'7_erms',
+'#od_timer',
+'"napi_poll',
+'#etif_receive_skb',
+'3_core.constprop.0',
+'4one_core',
+')x',
+'#f_conntrack_find_get?[nf_conntrack]',
+'&t_refresh_acct?[nf_conntrack]',
+'"pthread_cleanup_pop',
+'*mutex_cond_lock',
+'#ut_user_nocheck_4',
+'38',
+'"raw_spin_lock_irqsave',
+'#cu_read_lock',
+'+unlock',
+'#ecv',
+'$lease_sock',
+'#seq_handle_notify_resume',
+'#un_timers',
+'"schedule',
+'#iphash_unaligned',
+'#k_dst_check',
+'%mem_reclaim',
+'+duce_allocated',
+'$b_clone',
+'&datagram_iter',
+'#lab_free',
+'#ock_wfree',
+'#ys_connect',
+'-_file',
+'&recvfrom',
+'&sendto',
+'"tcp_ack_snd_check',
+'&cleanup_rbuf',
+'&push_pending_frames',
+'&select_window',
+'(nd_ack.part.0',
+'&transmit_skb',
+'#ls_get_addr',
+'.@plt',
+'._slow',
+'"usecs_to_jiffies',
+'"virt_addr_valid',
+'"wake_up_common_lock',
+'*sync_key',
+'#rite',
+'"x64_sys_connect',
+'*epoll_ctl',
+'0wait',
+'*futex',
+'*read',
+',cvfrom',
+'*sendto',
+'*write',
+'/v',
+'#86_indirect_thunk_rax',
+'#frm_policy_check2.constprop.0',
+'!copy_from_iter',
+'+user',
+'&to_iter',
+'!dl_update_slotinfo',
+'!int_free',
+'%malloc',
+'!notify_jvmti_vthread_unmount',
+'!raw_spin_lock',
+'._bh',
+'/irq',
+'2save',
+'*unlock',
+'0_bh',
+'1irq',
+'4restore',
+'%write_lock_irq',
+'+unlock_irq',
+' aa_file_perm',
+'#sk_perm',
+'!lloc_pages',
+'%ate_slab',
+'!pparmor_file_permission',
+')ip_postroute',
+')socket_recvmsg',
+'0sendmsg',
+'1ock_rcv_skb',
+'!sm_sysvec_apic_timer_interrupt',
+'+call_function_single',
+'+reschedule_ipi',
+' blkcg_maybe_throttle_current',
+'!pf_skops_write_hdr_opt.isra.0',
+' cache_from_obj',
+'"ll_timer_fn',
+'!h/qos/logback/classic/Logger.appendLoopOnAppenders',
+'>buildLoggingEventAndAppend',
+'>callAppenders',
+'>filterAndLog_0_Or3Plus',
+'>info',
+'=Context.getSequenceNumberGenerator',
+'7layout/TTLLLayout.doLayout',
+'7spi/LoggingEvent.<init>',
+'HgetMDCPropertyMap',
+'HprepareForDeferredProcessing',
+'7util/LogbackMDCAdapter.getPropertyMap',
+'0ore/OutputStreamAppender.append',
+'IsubAppend',
+'IwriteByteArrayToOutputStreamWithPossibleFlush',
+'Rs',
+'NOut',
+'4UnsynchronizedAppenderBase.doAppend',
+'4encoder/LayoutWrappingEncoder.encode',
+'4joran/spi/ConsoleTarget$1.flush',
+'Nwrite',
+'4spi/AppenderAttachableImpl.appendLoopOnAppenders',
+'4util/CachingDateFormatter.format',
+'"eck_bounds',
+'&heap_object',
+'&stack_object',
+'!iBaseObject::ident',
+'"Env::register_method',
+'!lear_page_rep',
+'"ock_gettime@@GLIBC_2.17',
+'!onsume_stock',
+'#vertReturnVal',
+'"py_from_kernel_nofault',
+'8_allowed',
+'%iovec_from_user',
+'%page_from_iter',
+'$in',
+'$out',
+'!ubictcp_acked',
+')cong_avoid',
+'*wnd_event',
+'"rrent_time',
+' d_path',
+'!ev_hard_start_xmit',
+'!o_epoll_ctl',
+')wait',
+'#futex',
+'#iter_readv_writev',
+'(write',
+'#softirq.part.0',
+'$yscall_64',
+'#writev',
+'!st_release',
+' enqueue_to_backlog',
+'"try_SYSCALL_64_after_hwframe',
+'!p_done_scan',
+'#item_poll.isra.0',
+'#poll',
+'#send_events',
+'"oll_ctl',
+'&wait',
+'!th_type_trans',
+'!ventfd_poll',
+'(read',
+'(write',
+'!xit_to_user_mode_loop',
+'2prepare',
+'"pr_call_ops_eval?[nf_tables]',
+' fdval',
+'!ile_update_time',
+'"nish_task_switch.isra.0',
+'!put',
+'!rame::oops_interpreted_do',
+'!snotify_perm.part.0',
+'!utex_get_value_locked',
+'&hash',
+'&q_lock',
+'&setup_timer',
+'&unqueue',
+'&wait',
+'*_queue',
+'+setup',
+'(ke',
+'*_mark',
+' getFD',
+'#_futex_key',
+'$l4proto?[nf_conntrack]',
+'$page_from_freelist',
+'$timespec64',
+' hash_conntrack_raw?[nf_conntrack]',
+'!rtimer_init_sleeper',
+'(sleeper_start_expires',
+')tart_range_ns',
+' implEncode',
+'#ort_iovec',
+'\'single_range',
+'!net6_recvmsg',
+'&sendmsg',
+'$_ehashfn',
+'%send_prepare',
+'&tream_connect',
+'"ode_needs_update_time.part.0',
+'"t freeze<Config<(oop_kind)0, G1BarrierSet> >',
+'!p_finish_output',
+'02',
+'#local_deliver',
+'0_finish',
+')out',
+'#output',
+'#protocol_deliver_rcu',
+'#queue_xmit',
+'#rcv',
+'&_core',
+'\'finish_core.constprop.0',
+'#send_check',
+'$kb_dst_mtu',
+'"v4_conntrack_defrag?[nf_defrag_ipv4]',
+'/in?[nf_conntrack]',
+'/local?[nf_conntrack]',
+'%dst_check',
+'%mtu',
+'!rq_exit_rcu',
+'#entry_exit',
+'-_to_user_mode',
+'!s_vmalloc_addr',
+'!table stub',
+' java/io/BufferedOutputStream.flush',
+'=implWrite',
+'=write',
+'(FileOutputStream.write',
+'>Bytes',
+'(PrintStream.flush',
+'4implFlush',
+'8Write',
+'4write',
+'%lang/AbstractStringBuilder.<init>',
+'@append',
+'@ensureCapacityInternal',
+'@putStringAt',
+'*BaseVirtualThread.<init>',
+'*Integer.compareTo',
+'2formatUnsignedInt',
+'2getChars',
+'2parseInt',
+'2toHexString',
+'4String',
+'4UnsignedString0',
+'+terable.forEach',
+'*Long.getChars',
+'/parseLong',
+'/toString',
+'/valueOf',
+'*Object.hashCode',
+'1toString',
+'*String$CaseInsensitiveComparator.compare',
+'0.<init>',
+'1encode',
+'7ASCII',
+'7UTF8',
+'2quals',
+'7IgnoreCase',
+'1getBytes',
+'1hashCode',
+'1indexOf',
+'8NonWhitespace',
+'2sBlank',
+'1regionMatches',
+'1startsWith',
+'2ubstring',
+'1toLowerCase',
+'3String',
+'2rim',
+'1valueOf',
+'0Builder.<init>',
+'8append',
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+'$t_acct_add?[nf_conntrack]',
+'&get_tuple?[nf_conntrack]',
+'&seq_offset?[nf_conntrack]',
+'#hook_slow',
+'"t_counter_eval?[nf_tables]',
+'$do_chain?[nf_tables]',
+',_ipv4?[nf_tables]',
+'$immediate_eval?[nf_tables]',
+'$meta_get_eval?[nf_tables]',
+')store_ifname?[nf_tables]',
+'!method::new_nmethod',
+')oops_do',
+'0_process_weak',
+'!ote_gp_changes',
+' one/nio/http/HttpServer.findHandlerByHost',
+'8handleRequest',
+'3ssion.handleParsedRequest',
+'9parseRequest',
+':rocessHttpBuffer',
+'@Read',
+'9sendResponse',
+':tartParsingRequestBody',
+'9writeResponse',
+'-PathMapper.find',
+'-Request.<init>',
+'5getHeader',
+'8Parameter',
+':th',
+'8RequiredParameter',
+'5trim',
+'/sponse.<init>',
+'6toBytes',
+'(net/NativeSelector$2.findNext',
+'=next',
+':.epollWait',
+';select',
+'3ocket.read',
+'9write',
+',Session$ArrayQueueItem.write',
+'3.process',
+'4read',
+'4write',
+'(server/SelectorThread.run',
+'1rver.incRequestsProcessed',
+'(util/ByteArrayBuilder.append',
+'-Hash.murmur3',
+'-URLEncoder.decode',
+'.tf8.isAsciiString',
+'2length',
+'2read',
+'2startsWith',
+'2toAsciiString',
+'2write',
+'!opDesc* JNIHandles::resolve_impl<0ul, false>',
+'\'::address_field',
+'6_acquire',
+'7put',
+'#Factory::new_typeArray',
+'9_nozero',
+'#_Relocation::oop_value',
+'!s::free',
+'$javaTimeMillis',
+',Nanos',
+',SystemUTC',
+'$malloc',
+' page_counter_try_charge',
+'!ipe_write',
+'!list_add',
+'&del',
+'!ost_alloc_hook',
+'!repend',
+'\'_copy',
+'(path',
+'"ocess_backlog',
+'(timeout',
+'!thread_cond_signal@@GLIBC_2.3.2',
+'(mutex_trylock@@GLIBC_2.34',
+'.unlock@@GLIBC_2.2.5',
+'!ut_cpu_partial',
+' qdisc_pkt_len_init',
+' raw_local_deliver',
+'$v4_input',
+'!b_first',
+'#insert_color',
+'#next',
+'!cu_core',
+'(_si',
+'$gp_kthread_wake',
+'$report_qs_rnp',
+'!ead@plt',
+'$_tsc',
+'"balance_domains',
+'"fill_stock',
+'"lease_sock',
+'"p_movs_alternative',
+'"solve_normal_ct?[nf_conntrack]',
+'!seq_get_rseq_cs',
+'%ip_fixup',
+'%update_cpu_node_id',
+'!u/vk/itmo/test/osokindm/DaoWrapper.getMemorySegment',
+'Dupsert',
+'9HttpServerImpl$$Lambda.0x00007f4f2414eb08.run',
+'^fc08.run',
+'G.handleAsync',
+'NRequest',
+'Hlambda$handleAsync$1',
+'URequest$0',
+'9RendezvousRouter.getNodes',
+';questHandler$$Lambda.0x00007f4f24185240.apply',
+']95868.get',
+'G.forwardRequestToNode',
+'HhandleRequestLocally',
+'Hlambda$processRequest$0',
+'HmakeProxyRequest',
+'HprocessRequest',
+'OedResponse',
+'9ServiceImpl$$Lambda.0x00007f4f2418f3b0.<init>',
+'`accept',
+'D.dispatchRequestsToNodes',
+'Eentity',
+'EgetTimestamp',
+'EhandleTimestampHeader',
+'Elambda$dispatchRequestsToNodes$0',
+'9dao/MemTable.upsert',
+'@orySegmentComparator.compare',
+'=ReferenceDao.upsert',
+'=TableSet.upsert',
+'"n_rebalance_domains',
+'$timer_softirq',
+'!w_verify_area',
+' schedule',
+'(_hrtimeout_range',
+'8_clock',
+'!ecurity_file_permission',
+')sock_rcv_skb',
+'-et_recvmsg',
+'0sendmsg',
+'"lect_estimate_accuracy',
+'"q_file_path',
+'$path',
+'$read',
+'(_iter',
+'"t_normalized_timespec64',
+'!hould_failslab',
+'#w_map',
+'(_vma',
+'%vma_header_prefix',
+'!imple_copy_to_iter',
+'!k_filter_trim_cap',
+'$orced_mem_schedule',
+'$ree',
+'#page_frag_refill',
+'#reset_timer',
+'"b_attempt_defer_free',
+'$clone',
+')_tx_timestamp',
+'%opy_datagram_iter',
+'$do_copy_data_nocache',
+'$free_head',
+'$network_protocol',
+'$page_frag_refill',
+'%ush',
+'$release_data',
+',head_state',
+'$try_coalesce',
+'!lab_update_freelist.constprop.0.isra.0',
+'!ock_def_readable',
+'%poll',
+'&ut',
+'%read_iter',
+'\'cvmsg',
+'&free',
+'%write_iter',
+'$fd_lookup_light',
+'!rso_safe_ret',
+'!tart_thread',
+'"rncpy',
+'!un/net/NetProperties.get',
+'9Integer',
+'(spi/DefaultProxySelector$3.run',
+'@.select',
+'%io/ch/EPoll.ctl',
+'1wait',
+'0SelectorImpl.clearInterrupt',
+'=doSelect',
+'=processEvents',
+'DUpdateQueue',
+'=setEventOps',
+'=wakeup',
+',ventFD.reset',
+'3set',
+'60',
+'+IOUtil.drain',
+'2read',
+'6IntoNativeBuffer',
+'2write',
+'+Net.connect',
+'60',
+'+SelectionKeyImpl.interestOps',
+'<translateAndUpdateReadyOps',
+'1orImpl.begin',
+'8end',
+'8lockAndDoSelect',
+'8processDeregisterQueue',
+'?ReadyEvents',
+'8select',
+'>Now',
+',ocketChannelImpl.configureSocketNonBlockingIfVirtualThread',
+'@nect',
+'=getLocalAddress',
+'=read',
+'=translateAndUpdateReadyOps',
+'FReadyOps',
+'=write',
+'1Dispatcher.read',
+'@0',
+'<writev',
+'B0',
+'+Util$2.clear',
+'2iterator',
+'/.getTemporaryDirectBuffer',
+'!wake_up_one',
+'!yscall',
+'\'_enter_from_user_mode',
+')xit_to_user_mode',
+'#vec_apic_timer_interrupt',
+'\'call_function_single',
+'\'reschedule_ipi',
+' tcp_ack',
+'\'_tstamp',
+'(update_rtt',
+'%dd_backlog',
+'$check_space',
+'&rono_start',
+'-op',
+'%lean_rtx_queue.constprop.0',
+')up_rbuf',
+'%urrent_mss',
+'%wnd_validate',
+'$data_queue',
+')ready',
+'$established_options',
+'%vent_data_recv',
+'*new_data_sent',
+'$filter',
+'$grow_window',
+'$in_window?[nf_conntrack]',
+'&bound_md5_hash',
+'$mstamp_refresh',
+'%tu_probe',
+'$newly_delivered',
+'$options_write',
+'$parse_md5sig_option',
+'%oll',
+'%ush',
+'$queue_rcv',
+'$rack_advance',
+')update_reo_wnd',
+'&te_check_app_limited',
+')gen',
+')skb_delivered',
+'-sent',
+'%btree_insert',
+'%cv_established',
+'(space_adjust',
+')tate_process',
+')ynsent_state_process',
+'%earm_rto',
+'&cv_timestamp',
+'(msg',
+'+_locked',
+'&lease_cb',
+'%tt_estimator',
+'$schedule_loss_probe',
+'%end_ack',
+')delayed_ack',
+')mss',
+'(msg',
+'+_locked',
+'%kb_entail',
+'%mall_queue_check.isra.0',
+'%tream_alloc_skb',
+'+memory_free',
+'$try_coalesce',
+'%so_segs',
+'$update_pacing_rate',
+'+recv_tstamps',
+'+skb_after_send',
+'%rg',
+'$v4_do_rcv',
+'\'fill_cb',
+'\'rcv',
+'\'send_check',
+'$wfree',
+'%rite_xmit',
+'!hread_native_entry',
+'!ry_charge_memcg',
+'$to_wake_up',
+' unsafe_arraycopy',
+'!pdate_blocked_averages',
+'\'get_addr',
+'\'register_map1',
+' validate_xmit_skb',
+'.xfrm',
+'!fs_read',
+'$write',
+')v',
+'!oid AccessInternal::arraycopy_conjoint<signed char>',
+'%G1ScanCardClosure::do_oop_work<narrowOop>',
+'%OopOopIterateBackwardsDispatch<G1ScanEvacuatedObjClosure>::Table::oop_oop_iterate_backwards<InstanceKlass, narrowOop>',
+'2Dispatch<G1ScanCardClosure>::Table::oop_oop_iterate<InstanceKlass, narrowOop>',
+'nRefKlass, narrowOop>',
+'fObjArrayKlass, narrowOop>',
+'fTypeArrayKlass, narrowOop>',
+'%WeakProcessor::Task::work<G1STWIsAliveClosure, G1KeepAliveClosure>',
+'!table stub',
+' wake_q_add_safe',
+'%up_process',
+'(q',
+'!riteBytes'
+];
+unpack(cpool);
+
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+u(1972,1)
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+u(396)
+f(708,5,3,1)
+n(13724,2)
+
+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_put.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_put.png
new file mode 100644
index 000000000..ea626966e
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_cpu_put.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_get.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_get.html
new file mode 100644
index 000000000..2e2d2734f
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_get.html
@@ -0,0 +1,855 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 960px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>Lock profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(60);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
+	}
+
+	const canvas = document.getElementById('canvas');
+	const c = canvas.getContext('2d');
+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
+
+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
+			color: getColor(palette[key & 7]), title: cpool[key >>> 3],
+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' RequestHandler0_entity.handleRequest',
+' ch/qos/logback/classic/Logger.appendLoopOnAppenders',
+'>buildLoggingEventAndAppend',
+'>callAppenders',
+'>filterAndLog_0_Or3Plus',
+'>info',
+'0ore/OutputStreamAppender.append',
+'IsubAppend',
+'IwriteBytes',
+'NOut',
+'4UnsynchronizedAppenderBase.doAppend',
+'4spi/AppenderAttachableImpl.appendLoopOnAppenders',
+' java.lang.Class',
+'*Object',
+'%util.concurrent.locks.ReentrantLock$NonfairSync',
+'$/lang/Thread.run',
+'4With',
+'*VirtualThread$VThreadContinuation$1.run',
+'7.run',
+'%util/concurrent/ArrayBlockingQueue.offer',
+'Htake',
+'5CompletableFuture$AsyncSupply.exec',
+'Srun',
+'GCompletion.exec',
+'Rrun',
+'GUniApply.tryFire',
+'JCompletion.claim',
+'Nose.tryFire',
+'JWhenComplete.tryFire',
+'F.complete',
+'OAsync',
+'Ghandle',
+'GpostComplete',
+'KFire',
+'GthenCompose',
+'GuniComposeStage',
+'JHandle',
+'PStage',
+'JWhenComplete',
+'5ForkJoinPool$WorkQueue.topLevelExec',
+'A.runWorker',
+'Bscan',
+'=Task.doExec',
+'=WorkerThread.run',
+'5LinkedBlockingQueue.offer',
+'IsignalNotEmpty',
+'Itake',
+'5ThreadPerTaskExecutor$TaskRunner.run',
+'<oolExecutor$Worker.run',
+'G.execute',
+'HgetTask',
+'HrunWorker',
+'5locks/AbstractQueuedSynchronizer$ConditionObject.await',
+'U.acquire',
+']Interruptibly',
+';LockSupport.park',
+';ReentrantLock$Sync.lock',
+'RInterruptibly',
+'H.lock',
+'MInterruptibly',
+'!dk.internal.net.http.AuthenticationFilter$Cache',
+'6HttpClientImpl',
+'6SocketTube$InternalWriteSubscriber',
+'#/internal/misc/Unsafe.park',
+'-net/http/AuthenticationFilter$Cache.get',
+'J.getCache',
+'Krequest',
+'Msponse',
+'6ConnectionPool$CleanupTrigger.onSubscribe',
+'Tsubscribe',
+'D.purgeExpiredConnectionsAndReturnNextDeadline',
+'EregisterCleanupTrigger',
+'GturnToPool',
+'6Exchange$$Lambda.0x00007f4f24186240.apply',
+'Tcedf0.apply',
+'>.checkFor407',
+'?lambda$responseAsyncImpl0$8',
+'Y9',
+'?readBodyAsync',
+'AsponseAsync',
+'LImpl',
+'P0',
+'6Http1AsyncReceiver$$Lambda.0x00007f4f241c9e40.run',
+'IHttp1TubeSubscriber.requestMore',
+'H.checkRequestMore',
+'Iflush',
+'Isubscribe',
+';Exchange$$Lambda.0x00007f4f241e4470.apply',
+'Z51b0.apply',
+'DHttp1Publisher$Http1WriteSubscription.request',
+'SWriteTask.run',
+'R.subscribe',
+'C.connectFlows',
+'DgetOutgoing',
+'Dlambda$sendHeadersAsync$0',
+'\\4',
+'DreadBodyAsync',
+'DsendHeadersAsync',
+';Response$$Lambda.0x00007f4f2420b638.run',
+'Y17220.run',
+'DBodyReader.handle',
+'OtryAsyncReceive',
+'DHeadersReader.handle',
+'RtryAsyncReceive',
+'DReceiver.accept',
+'C.lambda$readBody$3',
+'DonFinished',
+'DreadBody',
+':ClientFacade.sendAsync',
+'@Impl$DelegatingExecutor.execute',
+'ESelectorManager.eventUpdated',
+'Uregister',
+'Vun',
+'UwakeupSelector',
+'D.cancelTimer',
+'EeventUpdated',
+'EpurgeTimeoutsAndReturnNextDeadline',
+'EregisterEvent',
+'MTimer',
+'EsendAsync',
+';onnection.closeOrReturnToCache',
+'6MultiExchange$$Lambda.0x00007f4f2417d028.apply',
+'Ze698.apply',
+'Ye2000.apply',
+'C.lambda$responseAsync0$2',
+'Z4',
+'XImpl$6',
+'DrequestFilters',
+'FsponseAsyncImpl',
+'LFilters',
+'6PlainHttpConnection.connectAsync',
+'JfinishConnect',
+'6ResponseContent$FixedLengthBodyParser.accept',
+'6SocketTube$InternalReadPublisher$InternalReadSubscription.request',
+'rsumeReadEvent',
+'psignalSubscribe',
+'WReadSubscription.request',
+'hsignalOnSubscribe',
+'V.subscribe',
+'IWriteSubscriber$$Lambda.0x00007f4f241e8680.run',
+'YWriteSubscription.requestMore',
+'X.onSubscribe',
+'YrequestMore',
+'@.connectFlows',
+'AonSubscribe',
+'AresumeEvent',
+'Asubscribe',
+'6common/SequentialScheduler$CompleteRestartableTask.run',
+'QLockingRestartableTask.run',
+'QSchedulableTask.run',
+'QTryEndDeferredCompleter.complete',
+'P.runOrSchedule',
+'-vm/Continuation.enter',
+'B0',
+' one.nio.http.HttpSession',
+'#/nio/http/HttpServer.handleRequest',
+'3ssion.handleParsedRequest',
+'9processHttpBuffer',
+'@Read',
+'9sendResponse',
+'(net/Session.process',
+'(server/SelectorThread.run',
+' ru/vk/itmo/test/osokindm/HttpServerImpl$$Lambda.0x00007f4f2414eb08.run',
+'^fc08.run',
+'G.handleAsync',
+'NRequest',
+'Hlambda$handleAsync$1',
+'URequest$0',
+'9RequestHandler.forwardRequestToNode',
+'HmakeProxyRequest',
+'HprocessRequest',
+'9ServiceImpl.dispatchRequestsToNodes',
+'Eentity',
+'EhandleTimestampHeader',
+' sun/nio/ch/EPollSelectorImpl.clearInterrupt',
+'=doSelect',
+'=processEvents',
+'=wakeup',
+'+SelectorImpl.lockAndDoSelect',
+'8select',
+'>Now'
+];
+unpack(cpool);
+
+n(3,134394)
+u(129,12990)
+u(137)
+u(393)
+u(417)
+u(409,2201)
+u(169,1061)
+u(425,691)
+u(433)
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+u(513)
+u(122)
+f(481,7,691,370)
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+f(377,6,370,1140)
+u(425,657)
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+u(122)
+f(481,7,657,483)
+u(465)
+u(441)
+u(433)
+u(449)
+u(513)
+u(122)
+f(1313,5,483,10789)
+u(1337)
+u(1305)
+u(1345)
+u(1249)
+u(9)
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+
+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_get.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_get.png
new file mode 100644
index 000000000..c0dc77565
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_get.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_put.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_put.html
new file mode 100644
index 000000000..4ff0e254f
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_put.html
@@ -0,0 +1,752 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 704px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>Lock profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(44);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
+	}
+
+	const canvas = document.getElementById('canvas');
+	const c = canvas.getContext('2d');
+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
+
+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
+			color: getColor(palette[key & 7]), title: cpool[key >>> 3],
+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' RequestHandler0_entity.handleRequest',
+' ch/qos/logback/classic/Logger.appendLoopOnAppenders',
+'>buildLoggingEventAndAppend',
+'>callAppenders',
+'>filterAndLog_0_Or3Plus',
+'>info',
+'0ore/OutputStreamAppender.append',
+'IsubAppend',
+'IwriteBytes',
+'NOut',
+'4UnsynchronizedAppenderBase.doAppend',
+'4spi/AppenderAttachableImpl.appendLoopOnAppenders',
+' java.lang.Class',
+'*Object',
+'%util.concurrent.locks.ReentrantLock$NonfairSync',
+'$/lang/Thread.run',
+'4With',
+'*VirtualThread$VThreadContinuation$1.run',
+'7.run',
+'%util/concurrent/ArrayBlockingQueue.offer',
+'Htake',
+'5CompletableFuture$AsyncSupply.exec',
+'Srun',
+'GCompletion.exec',
+'Rrun',
+'GUniApply.tryFire',
+'JCompletion.claim',
+'Nose.tryFire',
+'JWhenComplete.tryFire',
+'F.complete',
+'Ghandle',
+'GpostComplete',
+'KFire',
+'GthenCompose',
+'GuniComposeStage',
+'JHandle',
+'PStage',
+'JWhenComplete',
+'VStage',
+'GwhenCompleteAsync',
+'5ForkJoinPool$WorkQueue.topLevelExec',
+'A.runWorker',
+'Bscan',
+'=Task.doExec',
+'=WorkerThread.run',
+'5LinkedBlockingQueue.offer',
+'IsignalNotEmpty',
+'Itake',
+'5ThreadPerTaskExecutor$TaskRunner.run',
+'<oolExecutor$Worker.run',
+'G.execute',
+'HgetTask',
+'HrunWorker',
+'5locks/AbstractQueuedSynchronizer$ConditionObject.await',
+'U.acquire',
+']Interruptibly',
+';LockSupport.park',
+';ReentrantLock$Sync.lock',
+'RInterruptibly',
+'H.lock',
+'MInterruptibly',
+'!dk.internal.net.http.AuthenticationFilter$Cache',
+'6HttpClientImpl',
+'#/internal/misc/Unsafe.park',
+'-net/http/AuthenticationFilter$Cache.get',
+'J.getCache',
+'Krequest',
+'Msponse',
+'6ConnectionPool$CleanupTrigger.onSubscribe',
+'Tsubscribe',
+'D.purgeExpiredConnectionsAndReturnNextDeadline',
+'EregisterCleanupTrigger',
+'GturnToPool',
+'6Exchange$$Lambda.0x00007f4f24186240.apply',
+'Tcedf0.apply',
+'>.checkFor407',
+'?lambda$responseAsyncImpl0$8',
+'Y9',
+'?responseAsync',
+'LImpl',
+'P0',
+'6Http1AsyncReceiver$$Lambda.0x00007f4f241c9e40.run',
+'IHttp1TubeSubscriber.requestMore',
+'H.checkRequestMore',
+'Iflush',
+'IhandlePendingDelegate',
+';Exchange$$Lambda.0x00007f4f241e51b0.apply',
+'DHttp1Publisher.subscribe',
+'C.connectFlows',
+'Dlambda$sendHeadersAsync$4',
+'DsendHeadersAsync',
+';Response$$Lambda.0x00007f4f24217220.run',
+'DBodyReader.onSubscribe',
+'DHeadersReader.handle',
+'RtryAsyncReceive',
+'DReceiver.accept',
+'C.onFinished',
+':ClientFacade.sendAsync',
+'@Impl$DelegatingExecutor.execute',
+'ESelectorManager.eventUpdated',
+'Uregister',
+'Vun',
+'D.eventUpdated',
+'EpurgeTimeoutsAndReturnNextDeadline',
+'EregisterEvent',
+'EsendAsync',
+';onnection.closeOrReturnToCache',
+'6MultiExchange$$Lambda.0x00007f4f2417d028.apply',
+'Ye2000.apply',
+'C.lambda$responseAsync0$2',
+'XImpl$6',
+'DrequestFilters',
+'FsponseAsyncImpl',
+'LFilters',
+'6ResponseContent$FixedLengthBodyParser.onSubscribe',
+'6SocketTube$InternalReadPublisher$InternalReadSubscription.request',
+'rsumeReadEvent',
+'psignalSubscribe',
+'WReadSubscription.request',
+'hsignalOnSubscribe',
+'V.subscribe',
+'IWriteSubscriber.onSubscribe',
+'@.connectFlows',
+'AonSubscribe',
+'AresumeEvent',
+'Asubscribe',
+'6common/SequentialScheduler$CompleteRestartableTask.run',
+'QLockingRestartableTask.run',
+'QSchedulableTask.run',
+'QTryEndDeferredCompleter.complete',
+'-vm/Continuation.enter',
+'B0',
+' one.nio.http.HttpSession',
+'#/nio/http/HttpServer.handleRequest',
+'3ssion.handleParsedRequest',
+'9processHttpBuffer',
+'@Read',
+'9sendResponse',
+'(net/Session.process',
+'(server/SelectorThread.run',
+' ru/vk/itmo/test/osokindm/HttpServerImpl$$Lambda.0x00007f4f2414eb08.run',
+'^fc08.run',
+'G.handleAsync',
+'NRequest',
+'Hlambda$handleAsync$1',
+'URequest$0',
+'9RequestHandler.forwardRequestToNode',
+'HmakeProxyRequest',
+'HprocessRequest',
+'9ServiceImpl.dispatchRequestsToNodes',
+'Eentity',
+'EhandleTimestampHeader',
+' sun/nio/ch/EPollSelectorImpl.clearInterrupt',
+'=doSelect',
+'=processEvents',
+'=wakeup',
+'+SelectorImpl.lockAndDoSelect',
+'8select',
+'>Now'
+];
+unpack(cpool);
+
+n(3,168500)
+u(129,4848)
+u(137)
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+u(993)
+u(977)
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+u(809)
+u(1249)
+u(114)
+f(1009,24,1962,56451)
+u(969)
+u(945)
+u(841)
+u(809)
+u(1249)
+u(114)
+f(761,14,56451,1)
+u(769)
+u(753)
+u(753)
+u(241)
+u(257)
+u(209)
+u(217)
+u(793)
+u(201)
+u(209)
+u(265)
+u(257)
+u(225)
+u(873)
+u(889)
+u(913)
+u(545)
+u(529)
+u(106)
+f(1121,1,1,989)
+u(1113)
+u(1066,734)
+n(1097,255)
+u(1089)
+u(1081)
+u(1153)
+u(1145)
+u(409)
+u(161)
+u(481)
+u(465)
+u(441)
+u(441)
+u(457)
+u(513)
+u(122)
+
+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_put.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_put.png
new file mode 100644
index 000000000..dc7d52784
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/profile_lock_put.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/put_6500.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/put_6500.png
new file mode 100644
index 000000000..9418d679a
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/put_6500.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/put_7k.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/put_7k.png
new file mode 100644
index 000000000..7315577af
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/profiler/put_7k.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/result_hw5.md b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/result_hw5.md
new file mode 100644
index 000000000..6c004318e
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw5/result_hw5.md
@@ -0,0 +1,362 @@
+## Асинхронное взаимодействие
+Требовалось параллельно отправлять запросы репликам и собирать самые быстрые ответы на CompletableFuture. 
+
+Для реализации параллельной отправки использовался метод HttpClient.sendAsync(). Данный метод я использовал еще в прошлых этапах, но неправильно, блокируя поток get'ом. В результате чего производительность упала сильнее ожидаемого. Проверим, насколько получилось исправить ситуацию:
+ ### PUT
+В четвертом этапе удалось получить лишь 4к rps. 
+Нагружаем новое решение. 
+10к rps
+
+<details>
+<summary>wrk, 10к rps, 30 sec</summary>
+<pre>
+ wrk -d 30 -t 64 -c 64 -R 10000 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/put_new.lua http://localhost:8080/v0/entity
+
+Thread Stats   Avg      Stdev     Max   +/- Stdev
+Latency     1.92ms    2.62ms  43.42ms   96.56%
+Req/Sec   163.20     45.88   500.00     66.37%
+Latency Distribution (HdrHistogram - Recorded Latency)
+50.000%    1.44ms
+75.000%    1.89ms
+90.000%    2.71ms
+99.000%   16.51ms
+99.900%   33.38ms
+99.990%   38.14ms
+99.999%   40.70ms
+100.000%   43.46ms
+
+</pre>
+</details>
+
+Нагрузка не является стабильной, так как при увеличении времени профилирования получаем скачок на 99 персентиле.
+<details>
+<summary>wrk, 10к rps, 60 sec</summary>
+<pre>
+ wrk -d 60 -t 64 -c 64 -R 10000 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/put_new.lua http://localhost:8080/v0/entity
+
+Thread Stats   Avg      Stdev     Max   +/- Stdev
+Latency    25.33ms   70.96ms 441.09ms   91.61%
+Req/Sec   164.65     60.20   800.00     74.62%
+Latency Distribution (HdrHistogram - Recorded Latency)
+50.000%    1.84ms
+75.000%    5.80ms
+90.000%   43.90ms
+99.000%  340.99ms
+99.900%  391.68ms
+99.990%  415.23ms
+99.999%  437.76ms
+100.000%  441.34ms
+
+
+</pre>
+</details>
+
+7к запросов все еще многовато для сервера, так как заметен неравномерный рост кривой
+<details>
+<summary>График</summary>
+<img alt="7k put" src="../hw5/profiler/put_7k.png">
+</details>
+
+Снизив нагрузку до 6500 rps получилось снизить максимальную задержку до 20 мс, а также избавиться от "скачка" на графике.
+<details>
+<summary>График</summary>
+<img alt="6.5k put" src="../hw5/profiler/put_6500.png">
+</details>
+
+<details>
+<summary>wrk, 6.5к rps, 60 sec</summary>
+<pre>
+ wrk -d 60 -t 64 -c 64 -R 6500 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/put_new.lua http://localhost:8080/v0/entity
+
+Thread Stats   Avg      Stdev     Max   +/- Stdev
+Latency     1.07ms  838.06us  20.45ms   96.89%
+Req/Sec   106.82     28.86   333.00     92.67%
+Latency Distribution (HdrHistogram - Recorded Latency)
+50.000%    0.98ms
+75.000%    1.24ms
+90.000%    1.40ms
+99.000%    4.34ms
+99.900%   11.94ms
+99.990%   15.69ms
+99.999%   19.49ms
+100.000%   20.46ms
+
+Detailed Percentile spectrum:
+Value   Percentile   TotalCount 1/(1-Percentile)
+
+       0.231     0.000000            1         1.00
+       0.542     0.100000        32685         1.11
+       0.658     0.200000        65232         1.25
+       0.766     0.300000        97606         1.43
+       0.871     0.400000       130103         1.67
+       0.975     0.500000       162553         2.00
+       1.029     0.550000       178732         2.22
+       1.082     0.600000       195121         2.50
+       1.134     0.650000       211408         2.86
+       1.186     0.700000       227755         3.33
+       1.237     0.750000       243934         4.00
+       1.262     0.775000       252002         4.44
+       1.287     0.800000       259964         5.00
+       1.313     0.825000       268205         5.71
+       1.339     0.850000       276240         6.67
+       1.367     0.875000       284362         8.00
+       1.382     0.887500       288387         8.89
+       1.400     0.900000       292586        10.00
+       1.420     0.912500       296511        11.43
+       1.447     0.925000       300668        13.33
+       1.484     0.937500       304696        16.00
+       1.508     0.943750       306682        17.78
+       1.544     0.950000       308694        20.00
+       1.596     0.956250       310714        22.86
+       1.691     0.962500       312751        26.67
+       1.900     0.968750       314772        32.00
+       2.073     0.971875       315784        35.56
+       2.297     0.975000       316808        40.00
+       2.559     0.978125       317823        45.71
+       2.831     0.981250       318829        53.33
+       3.169     0.984375       319849        64.00
+       3.375     0.985938       320353        71.11
+       3.637     0.987500       320861        80.00
+       4.019     0.989062       321368        91.43
+       4.575     0.990625       321875       106.67
+       5.359     0.992188       322388       128.00
+       5.787     0.992969       322637       142.22
+       6.235     0.993750       322891       160.00
+       6.715     0.994531       323145       182.86
+       7.247     0.995313       323398       213.33
+       7.915     0.996094       323652       256.00
+       8.287     0.996484       323779       284.44
+       8.687     0.996875       323906       320.00
+       9.143     0.997266       324036       365.71
+       9.551     0.997656       324160       426.67
+      10.063     0.998047       324289       512.00
+      10.351     0.998242       324350       568.89
+      10.679     0.998437       324414       640.00
+      11.071     0.998633       324477       731.43
+      11.471     0.998828       324542       853.33
+      12.039     0.999023       324604      1024.00
+      12.343     0.999121       324637      1137.78
+      12.575     0.999219       324668      1280.00
+      12.847     0.999316       324699      1462.86
+      13.103     0.999414       324731      1706.67
+      13.455     0.999512       324764      2048.00
+      13.655     0.999561       324780      2275.56
+      13.855     0.999609       324795      2560.00
+      14.087     0.999658       324810      2925.71
+      14.295     0.999707       324826      3413.33
+      14.535     0.999756       324842      4096.00
+      14.703     0.999780       324851      4551.11
+      14.799     0.999805       324859      5120.00
+      15.095     0.999829       324866      5851.43
+      15.167     0.999854       324874      6826.67
+      15.399     0.999878       324882      8192.00
+      15.527     0.999890       324886      9102.22
+      15.711     0.999902       324890     10240.00
+      15.911     0.999915       324894     11702.86
+      16.415     0.999927       324898     13653.33
+      16.815     0.999939       324902     16384.00
+      16.895     0.999945       324904     18204.44
+      17.375     0.999951       324906     20480.00
+      17.503     0.999957       324908     23405.71
+      17.663     0.999963       324911     27306.67
+      17.775     0.999969       324912     32768.00
+      18.767     0.999973       324913     36408.89
+      18.831     0.999976       324914     40960.00
+      18.847     0.999979       324915     46811.43
+      19.279     0.999982       324916     54613.33
+      19.455     0.999985       324917     65536.00
+      19.455     0.999986       324917     72817.78
+      19.487     0.999988       324918     81920.00
+      19.487     0.999989       324918     93622.86
+      20.015     0.999991       324919    109226.67
+      20.015     0.999992       324919    131072.00
+      20.015     0.999993       324919    145635.56
+      20.255     0.999994       324920    163840.00
+      20.255     0.999995       324920    187245.71
+      20.255     0.999995       324920    218453.33
+      20.255     0.999996       324920    262144.00
+      20.255     0.999997       324920    291271.11
+      20.463     0.999997       324921    327680.00
+      20.463     1.000000       324921          inf
+#[Mean    =        1.066, StdDeviation   =        0.838]
+#[Max     =       20.448, Total count    =       324921]
+#[Buckets =           27, SubBuckets     =         2048]
+
+</pre>
+</details>
+
+Таким образом, новое решение позволило увеличить rps на 2500.
+
+#### Профилирование
+
+<details>
+<summary>CPU флеймграф</summary>
+<img alt="cpu" src="../hw5/profiler/profile_cpu_put.png">
+</details>
+
+Все так же 40% процессорного времени уходит на HttpClient - асинхронную отправку запросов. 
+12% - handleRequest. 8% - код, ответственный за асинхронную обработку запросов внутри dispatchRequestsToNodes (4% из которых отведено responseExecutor, выполняющего проверку собранных ответов и досрочную их отправку). 
+Единственное, я не очень понял, откуда взялся ArrayBlockingQueue в разделе обработки запросов на флеймграфе, так как responseExecutor работает на LinkedBlockingQueue. Скорее всего, это связано с методом CompletableFuture.thenApply(), так как я явно не указал исполнителя, и операция выполнилась в CompletableFuture#defaultExecutor.
+
+.
+
+<details>
+<summary>Alloc флеймграф</summary>
+<img alt="alloc" src="../hw5/profiler/profile_alloc_put.png">
+</details>
+
+Различий не заметил (ch/qos/logback/classic/Logger.info не считаю)
+
+<details>
+<summary>Lock флеймграф</summary>
+<img alt="lock" src="../hw5/profiler/profile_lock_put.png">
+</details>
+
+Аналогично. 
+
+
+### GET
+
+4 этап позволил нагрузить лишь 1200 rps. 
+Проверяем 2.2к rps:
+
+
+<details>
+<summary>wrk</summary>
+<pre>
+wrk -d 30 -t 64 -c 64 -R 2200 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/get.lua http://localhost:8080/v0/entity
+
+Thread Stats   Avg      Stdev     Max   +/- Stdev
+Latency     2.33ms    1.65ms  19.70ms   87.34%
+Req/Sec    36.28     49.94   111.00     65.37%
+Latency Distribution (HdrHistogram - Recorded Latency)
+50.000%    1.88ms
+75.000%    2.64ms
+90.000%    4.10ms
+99.000%    9.06ms
+99.900%   14.28ms
+99.990%   19.12ms
+99.999%   19.71ms
+100.000%   19.71ms
+
+Detailed Percentile spectrum:
+Value   Percentile   TotalCount 1/(1-Percentile)
+
+       0.263     0.000000            1         1.00
+       1.051     0.100000         4414         1.11
+       1.291     0.200000         8808         1.25
+       1.484     0.300000        13204         1.43
+       1.672     0.400000        17606         1.67
+       1.876     0.500000        22009         2.00
+       1.986     0.550000        24194         2.22
+       2.109     0.600000        26414         2.50
+       2.245     0.650000        28597         2.86
+       2.425     0.700000        30797         3.33
+       2.641     0.750000        33004         4.00
+       2.773     0.775000        34094         4.44
+       2.931     0.800000        35205         5.00
+       3.125     0.825000        36298         5.71
+       3.375     0.850000        37391         6.67
+       3.687     0.875000        38492         8.00
+       3.875     0.887500        39043         8.89
+       4.099     0.900000        39598        10.00
+       4.367     0.912500        40147        11.43
+       4.699     0.925000        40691        13.33
+       5.123     0.937500        41240        16.00
+       5.367     0.943750        41515        17.78
+       5.631     0.950000        41794        20.00
+       5.915     0.956250        42067        22.86
+       6.231     0.962500        42341        26.67
+       6.655     0.968750        42616        32.00
+       6.855     0.971875        42753        35.56
+       7.131     0.975000        42892        40.00
+       7.419     0.978125        43027        45.71
+       7.759     0.981250        43165        53.33
+       8.079     0.984375        43302        64.00
+       8.271     0.985938        43371        71.11
+       8.511     0.987500        43440        80.00
+       8.823     0.989062        43508        91.43
+       9.231     0.990625        43578       106.67
+       9.663     0.992188        43646       128.00
+       9.863     0.992969        43681       142.22
+      10.111     0.993750        43716       160.00
+      10.319     0.994531        43749       182.86
+      10.703     0.995313        43783       213.33
+      11.007     0.996094        43819       256.00
+      11.207     0.996484        43835       284.44
+      11.455     0.996875        43852       320.00
+      11.775     0.997266        43869       365.71
+      12.135     0.997656        43886       426.67
+      12.655     0.998047        43904       512.00
+      12.879     0.998242        43914       568.89
+      13.207     0.998437        43921       640.00
+      13.511     0.998633        43929       731.43
+      14.039     0.998828        43938       853.33
+      14.295     0.999023        43947      1024.00
+      14.839     0.999121        43951      1137.78
+      15.167     0.999219        43955      1280.00
+      15.399     0.999316        43959      1462.86
+      15.575     0.999414        43964      1706.67
+      15.855     0.999512        43968      2048.00
+      16.071     0.999561        43970      2275.56
+      16.335     0.999609        43972      2560.00
+      16.655     0.999658        43974      2925.71
+      16.927     0.999707        43978      3413.33
+      17.119     0.999756        43979      4096.00
+      17.199     0.999780        43980      4551.11
+      17.375     0.999805        43981      5120.00
+      17.487     0.999829        43982      5851.43
+      17.711     0.999854        43983      6826.67
+      18.559     0.999878        43984      8192.00
+      19.119     0.999890        43985      9102.22
+      19.119     0.999902        43985     10240.00
+      19.295     0.999915        43986     11702.86
+      19.295     0.999927        43986     13653.33
+      19.359     0.999939        43987     16384.00
+      19.359     0.999945        43987     18204.44
+      19.359     0.999951        43987     20480.00
+      19.615     0.999957        43988     23405.71
+      19.615     0.999963        43988     27306.67
+      19.615     0.999969        43988     32768.00
+      19.615     0.999973        43988     36408.89
+      19.615     0.999976        43988     40960.00
+      19.711     0.999979        43989     46811.43
+      19.711     1.000000        43989          inf
+#[Mean    =        2.333, StdDeviation   =        1.645]
+#[Max     =       19.696, Total count    =        43989]
+#[Buckets =           27, SubBuckets     =         2048]
+
+</pre>
+</details>
+
+Больше увеличить нагрузку не удается, при 3к rps получаем среднюю задержку 1.38 с.
+
+#### Профилирование 
+
+<details>
+<summary>CPU флеймграф</summary>
+<img alt="cpu" src="../hw5/profiler/profile_cpu_get.png">
+</details>
+Во-первых, на флеймграфе видно, что используются другие методы CompletableFuture, на которых уходит больше времени: 16.5% против ~20% в новом решении.
+Заметно также, что от асинхронной обработки больше работы появилось для gc, 5%. 
+Также, HttpSession.sendResponse видно, что разбит по разным потокам. 
+В остальном комментарии к put-флеймграфу справедливы и в данном, get, случае. 
+
+.
+<details>
+<summary>Alloc флеймграф</summary>
+<img alt="alloc" src="../hw5/profiler/profile_alloc_get.png">
+</details>
+Изменения минимальные, заметил только увеличение с 3.5% до 4.8% локов на Http1AsyncReceiver. 
+
+.
+<details>
+<summary>Lock флеймграф</summary>
+<img alt="lock" src="../hw5/profiler/profile_lock_get.png">
+</details>
+
+Здесь также заметно увеличение количества локов, отведенных Http1AsyncReceiver с 14% до 28%.
+Но, что самое важное, с уходом CompletableFuture.get количество блокировок ThreadPoolExecutor.getTask снизилось с 14% до 0.3%, что довольно показательно. 
+
+### Вывод
+C добавлением асинхронного взаимодействия производительность увеличилась. PUT теперь выдерживает 6.5k rps, GET 2.2k rps  
\ No newline at end of file
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/alloc.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/alloc.png
new file mode 100644
index 000000000..57bc8ce8f
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/alloc.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/cpu1.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/cpu1.png
new file mode 100644
index 000000000..cf63ca0cb
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/cpu1.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/cpu2.png b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/cpu2.png
new file mode 100644
index 000000000..c529b0e41
Binary files /dev/null and b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/cpu2.png differ
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/profile_alloc.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/profile_alloc.html
new file mode 100644
index 000000000..12c5109e5
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/profile_alloc.html
@@ -0,0 +1,335 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 384px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>Allocation profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(24);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
+	}
+
+	const canvas = document.getElementById('canvas');
+	const c = canvas.getContext('2d');
+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
+
+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
+			color: getColor(palette[key & 7]), title: cpool[key >>> 3],
+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' byte[]',
+' java/lang/Integer.toHexString',
+'4UnsignedString0',
+'*String.encode',
+'7UTF8',
+'1getBytes',
+'*Thread.run',
+'4With',
+'%nio/ByteBuffer.allocate',
+')HeapByteBuffer.<init>',
+'%util/concurrent/ThreadPoolExecutor$Worker.run',
+'G.runWorker',
+'!dk.internal.foreign.MappedMemorySegmentImpl',
+'#/internal/foreign/AbstractMemorySegmentImpl$$Lambda.0x00007f520412c780.apply',
+'N.asSlice',
+'VNoCheck',
+'Olambda$toArray$1',
+'OtoArray',
+'5MappedMemorySegmentImpl.asSlice',
+'Mdup',
+' one.nio.net.Session$ArrayQueueItem',
+'#/nio/http/HttpSession.sendResponse',
+'(net/Session.write',
+' ru.vk.itmo.test.osokindm.dao.BaseEntry',
+'"/vk/itmo/test/osokindm/CustomHttpSession.writeChunk',
+'PResponse',
+'9ServiceImpl$$Lambda.0x00007f5204154888.run',
+'D.lambda$entities$0',
+'9dao/LiveFilteringIterator.next',
+'SskipTombstones',
+'=MergingEntryIterator.next',
+'=SSTable$SliceIterator.next',
+'=WeightedPeekingEntryIterator.next'
+];
+unpack(cpool);
+
+n(3,130)
+u(57)
+u(65)
+u(89)
+u(97)
+u(217)
+u(225)
+u(177)
+u(209)
+u(201,18)
+u(17,2)
+u(25)
+u(10)
+f(49,10,2)
+u(33)
+u(41)
+u(10)
+f(73,10,2)
+u(81)
+u(10)
+f(145,10,2,7)
+u(145)
+u(113)
+u(137)
+u(10)
+f(185,10,7,5)
+u(170)
+f(233,9,5,112)
+u(233)
+u(241)
+u(249)
+u(249)
+u(265)
+u(257)
+u(257)
+u(153,82)
+u(153)
+u(121)
+u(129)
+u(161)
+u(161)
+u(106)
+f(194,17,82,30)
+
+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/profile_cpu.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/profile_cpu.html
new file mode 100644
index 000000000..82553f3ea
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/profile_cpu.html
@@ -0,0 +1,1350 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 944px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>CPU profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(59);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
+	}
+
+	const canvas = document.getElementById('canvas');
+	const c = canvas.getContext('2d');
+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
+
+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
+			color: getColor(palette[key & 7]), title: cpool[key >>> 3],
+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' AddPNode::Identity',
+'!rena::contains',
+' BarrierSetNMethod::set_guard_value',
+'!lockBegin::add_exception_handler',
+'%List::iterate_forward',
+'!ufferBlob::create',
+' C2Compiler::compile_method',
+'!allGenerator::for_inline',
+'3uncommon_trap',
+'$StaticJavaNode::Ideal',
+'!odeBlob::CodeBlob',
+'$Cache::allocate',
+'$Heap::allocate',
+'*find_blob',
+'*search_freelist',
+'"mpLevel CompilationPolicy::common<LoopPredicate>',
+'$ilation::Compilation',
+'-build_hir',
+'-compile_java_method',
+'5method',
+'-emit_code_body',
+'2lir',
+'-install_code',
+'+Policy::call_event',
+'3event',
+'3method_invocation_event',
+'&e::Code_Gen',
+'+mpile',
+')Optimize',
+')call_generator',
+'\'Broker::compiler_thread_loop',
+'/invoke_compiler_on_method',
+'\'dMethod::CompiledMethod',
+'\'r::compile_method',
+'"nnectionGraph::add_node_to_connection_graph',
+'1compute_escape',
+'1do_analysis',
+'1find_inst_mem',
+'1split_memory_phi',
+'7unique_types',
+' DebugInformationRecorder::describe_scope',
+':find_sharable_decode_offset',
+':serialize_scope_values',
+'!ict::Insert',
+'"rectivesStack::release',
+' G1BarrierSetC1::load_at_resolved',
+'"EvacuateRegionsBaseTask::work',
+'1Task::scan_roots',
+'"ParCopyClosure<(G1Barrier)0, false>::do_oop',
+'%ScanThreadState::trim_queue_to_threshold',
+'"RootProcessor::evacuate_roots',
+'1process_java_roots',
+'!raphBuilder::GraphBuilder',
+'.access_field',
+'/ppend_with_bci',
+'.invoke',
+'/terate_all_blocks',
+'6bytecodes_for_block',
+'.try_inline',
+'8_full',
+'%Kit::add_safepoint_edges',
+'*clone_map',
+'*gen_checkcast',
+'*make_constant_from_field',
+'*null_check_common',
+'5oop',
+'*record_profiled_arguments_for_speculation',
+'*set_all_memory',
+'"owableArrayWithAllocator<LIR_Op*, GrowableArray<LIR_Op*> >::expand_to',
+' IR::IR',
+'"Scope::IRScope',
+'!dealLoopTree::loop_predication',
+'!fNode::Ideal',
+'-_common',
+'(Opcode',
+'(pinned',
+'!mmutableOopMapBuilder::heap_size',
+'!ndexSet::free_block',
+'(Iterator::advance_and_next',
+'"lineTree::check_can_parse',
+',ok_to_inline',
+',print_inlining',
+'"terpreterOopMap::iterate_oop',
+' JVMState::clone_shallow',
+'!avaThread::oops_do_frames',
+',thread_main_inner',
+' LIRGenerator::access_load_at',
+'.do_LoadField',
+'1ProfileInvoke',
+'.increment_event_counter_impl',
+'#_Assembler::emit_code',
+'4lir_list',
+'4profile_call',
+'/process_debug_info',
+'/record_non_safepoint_debug_info',
+'$List::branch',
+'*load',
+'!inearScan::append_scope_value',
+'-ssign_reg_num',
+',compute_debug_info_for_scope',
+',do_linear_scan',
+'!oopPredicate::apply',
+' Matcher::Fixup_Save_On_Entry',
+')find_shared',
+')init_first_stack_mask',
+')match',
+')pd_clone_node',
+')xform',
+'!ergeMemNode::MergeMemNode',
+'.make',
+'!ultiNode::is_CFG',
+' NTarjan::DFS',
+'!ode::Node',
+'&operator new',
+'&remove_dead_region',
+'(place_by',
+' OopFlow::compute_reach',
+' Parse::Parse',
+'\'add_safepoint',
+'\'build_exits',
+'\'do_all_blocks',
+'*call',
+'+heckcast',
+'*field_access',
+'*get_xxx',
+'*if',
+'*one_block',
+'/ytecode',
+'%Generator::generate',
+'"thFrequency::to',
+'!hase::gen_subtype_check',
+'%CCP::analyze',
+'&FG::build_dominator_tree',
+'*do_global_code_motion',
+'*global_code_motion',
+'*implicit_null_check',
+'+s_uncommon',
+'&haitin::Register_Allocate',
+'.Select',
+'/implify',
+'/plit',
+'.bias_color',
+'/uild_ifg_physical',
+'.compute_initial_block_pressure',
+'.elide_copy',
+'.gather_lrg_masks',
+'.post_allocate_copy_removal',
+'.skip_copies',
+'/plit_USE',
+'/tretch_base_pointer_live_ranges',
+'&oalesce::coalesce_driver',
+'\'nservativeCoalesce::coalesce',
+'%GVN::transform_no_reclaim',
+'%IFG::Compute_Effective_Degree',
+'*SquareUp',
+'*effective_degree',
+'*remove_node',
+'&dealLoop::Dominators',
+'0build_and_optimize',
+'6loop_early',
+';late',
+'0loop_predication_impl',
+'0optimize',
+'0split_if_with_blocks',
+'&terGVN::PhaseIterGVN',
+'.optimize',
+'.transform_old',
+'%MacroExpand::expand_macro_nodes',
+'9subtypecheck_node',
+'%Output::BuildOopMaps',
+'-Output',
+'-PhaseOutput',
+'.rocess_OopMap_Node',
+'-fill_buffer',
+'-init_scratch_buffer_blob',
+'"iNode::Ideal',
+'!redictedCallGenerator::generate',
+'#serveJVMState::PreserveJVMState',
+'"ojNode::bottom_type',
+' RegMask::is_misaligned_pair',
+'!untime1::counter_overflow',
+' SubNode::Value',
+' Thread::call_run',
+'(oops_do',
+'&s::possibly_parallel_oops_do',
+'!ype::cmp',
+'&hashcons',
+'&make_constant_from_field',
+'$Func::make',
+'$InstPtr::make',
+'$OopPtr::make_from_klass_common',
+'$Tuple::make_domain',
+' ValueRecorder<Metadata*>::maybe_find_index',
+'!ectorNode::is_vector_shift',
+' WorkerThread::run',
+' [not_walkable_Java]',
+'!unknown]',
+' __GI___read',
+'"_pthread_mutex_lock',
+'"alloc_pages',
+'(skb',
+'"dev_queue_xmit',
+'#o_softirq',
+'"folio_alloc',
+'"handle_mm_fault',
+'"ip_finish_output',
+'%queue_xmit',
+'"libc_send',
+'#ocal_bh_enable_ip',
+'"mem_cgroup_charge',
+'%cmp_avx2_movbe',
+'&py_sse2_unaligned_erms',
+'%set_avx2_unaligned_erms',
+'#od_lruvec_page_state',
+'-state',
+'&memcg_lruvec_state',
+'"napi_poll',
+'#etif_receive_skb',
+'3_one_core',
+')x',
+'"raw_spin_lock_irqsave',
+'#elease_sock',
+'"sys_sendto',
+'"tcp_ack_snd_check',
+'&push_pending_frames',
+'&transmit_skb',
+'#ls_get_addr',
+'"wake_up_common_lock',
+'*sync_key',
+'"x64_sys_read',
+'*sendto',
+'!raw_spin_lock_irqsave',
+'*unlock_irqrestore',
+' asm_exc_page_fault',
+' ciBytecodeStream::get_field',
+'"Env::ciEnv',
+'\'get_field_by_index',
+'9_impl',
+'\'register_method',
+'"Field::ciField',
+')initialize_from',
+'"InstanceKlass::ciInstanceKlass',
+'1is_in_package_impl',
+'"Klass::ciKlass',
+'"Method::get_flow_analysis',
+'.method_at_bci',
+'(Blocks::block_containing',
+'(Data::data_from',
+'"ObjectFactory::create_new_metadata',
+'1get',
+'4_metadata',
+'"TypeFlow::do_flow',
+'!lear_page_rep',
+' d_path',
+'!ev_hard_start_xmit',
+'!o_anonymous_page',
+'#softirq.part.0',
+'$yscall_64',
+'#user_addr_fault',
+' enqueue_to_backlog',
+'"try_SYSCALL_64_after_hwframe',
+'!xc_page_fault',
+' folio_add_new_anon_rmap',
+'!rame::oops_interpreted_do',
+' get_page_from_freelist',
+' handle_mm_fault',
+'\'pte_fault',
+' inet6_sendmsg',
+'!p_finish_output',
+'02',
+'#local_deliver',
+'0_finish',
+')out',
+'#output',
+'#protocol_deliver_rcu',
+'#queue_xmit',
+'#rcv',
+' java/lang/String.encode',
+'7UTF8',
+'1getBytes',
+'*Thread.run',
+'4With',
+'*foreign/MemorySegment.copy',
+'@get',
+'@mismatch',
+'*invoke/VarHandleGuards.guard_LJ_I',
+'JJ',
+':SegmentAsBytes.checkAddress',
+'Iget',
+'IoffsetNoVMAlignCheck',
+'CLongs.get',
+'%nio/ByteBuffer.put',
+')HeapByteBuffer.put',
+'%util/AbstractQueue.remove',
+'*Objects.requireNonNull',
+'*PriorityQueue.add',
+'8offer',
+'8poll',
+'8siftDownComparable',
+'<Up',
+'>Comparable',
+'*concurrent/ThreadPoolExecutor$Worker.run',
+'G.runWorker',
+'!byte_arraycopy',
+'!dk/internal/foreign/AbstractMemorySegmentImpl.asSlice',
+'VNoCheck',
+'OcheckAccess',
+'TBounds',
+'Popy',
+'Omismatch',
+'OsessionImpl',
+'OtoArray',
+'5MappedMemorySegmentImpl.<init>',
+'MasSlice',
+'Mdup',
+'6emorySessionImpl.checkValidStateRaw',
+'5layout/ValueLayouts$AbstractValueLayout.withOrder',
+'IOfByteImpl.withOrder',
+'-misc/ScopedMemoryAccess.copyMemory',
+'OInternal',
+'EgetByte',
+'LInternal',
+'HLongUnaligned',
+'UInternal',
+'2Unsafe.checkOffset',
+'>Pointer',
+'?rimitivePointer',
+':opyMemory',
+'CChecks',
+'9getLongUnaligned',
+'9invalidInput',
+'!long_disjoint_arraycopy',
+'!mpConUCF2Node::out_RegMask',
+' kmem_cache_alloc_node',
+'!sys_read',
+' loopback_xmit',
+' memset_orig',
+' napi_consume_skb',
+'!eigh_hh_output',
+'"t_rx_action',
+'#if_rx_internal',
+'!method::new_nmethod',
+'*method',
+'!on-virtual thunk to LIRGenerator::block_do',
+' one/nio/http/HttpSession.sendResponse',
+'(net/NativeSocket.write',
+',Session$ArrayQueueItem.write',
+'3.write',
+' prepend',
+'\'_copy',
+'(path',
+'"ocess_backlog',
+'!thread_mutex_trylock@@GLIBC_2.34',
+' release_sock',
+'"source_allocate_bytes',
+'!u/vk/itmo/test/osokindm/CustomHttpSession.writeChunk',
+'PResponse',
+'9DaoWrapper.get',
+'9ServiceImpl$$Lambda.0x00007f5204154888.run',
+'D.lambda$entities$0',
+'9dao/LiveFilteringIterator.<init>',
+'Snext',
+'SskipTombstones',
+'=MemorySegmentComparator.compare',
+'?rgingEntryIterator.next',
+'=ReferenceDao.get',
+'=SSTable$SliceIterator.next',
+'D.entryBinarySearch',
+'Eget',
+'HLongValue',
+'=TableSet.get',
+'=WeightedPeekingEntryIterator.<init>',
+'ZcompareTo',
+'Znext',
+' seq_file_path',
+'$path',
+'$read',
+'(_iter',
+'!how_map',
+'(_vma',
+'!k_forced_mem_schedule',
+'#reset_timer',
+'!ock_def_readable',
+'!rso_safe_ret',
+'!tart_thread',
+' tcp_ack',
+'$data_queue',
+')ready',
+'$mstamp_refresh',
+'%tu_probe',
+'$push',
+'$rcv_established',
+'$send_delayed_ack',
+')mss',
+'(msg',
+'+_locked',
+'%tream_alloc_skb',
+'$v4_do_rcv',
+'\'rcv',
+'$write_xmit',
+'!hread_native_entry',
+' vfs_read',
+'!mSymbols::find_sid',
+'"a_alloc_folio'
+];
+unpack(cpool);
+
+n(3,152)
+u(1571,1)
+u(28)
+f(1579,1,1,4)
+u(1587,3)
+u(2093)
+u(2069)
+u(1845)
+u(2685)
+u(3221)
+u(3021)
+u(3029)
+u(3037)
+u(3045)
+u(2701,1)
+n(3005,2)
+u(3013)
+u(2037)
+f(2813,15,1,1)
+u(2797)
+u(2805)
+f(2827,2,1)
+f(2249,1,1,69)
+u(2257)
+u(2417)
+u(2425)
+u(2873)
+u(2881)
+u(2761,65)
+u(2857,65,0,0,1)
+f(2849,9,1,23)
+u(2242,1)
+u(2226)
+u(2234)
+u(2659)
+u(1877)
+u(2101)
+u(2077)
+u(2133)
+u(1645)
+u(2141)
+u(2053)
+u(3237)
+u(1637)
+u(1605)
+u(2125)
+u(2029)
+f(2338,10,1)
+u(2346)
+u(2435)
+f(2497,10,1,3)
+u(2497)
+u(2265,2)
+u(2473)
+u(2553)
+u(2561)
+u(2625)
+u(2633)
+u(2617)
+u(2609)
+u(2601)
+u(2649)
+u(1452)
+u(116,1)
+n(204)
+u(212)
+u(196)
+u(132)
+u(820)
+f(2545,12,1)
+u(2536)
+f(2785,10,1,18)
+u(2785)
+u(2777)
+u(2769,18,0,0,1)
+u(1667)
+f(2093,15,1,17)
+u(1853,1)
+n(2069,16)
+u(1853)
+u(1789)
+u(2149)
+u(3165)
+u(2837,1)
+u(1781)
+u(3189)
+u(3141)
+f(3173,21,1,15)
+u(3053,1)
+n(3133,12)
+u(1805)
+u(3077,1)
+n(3125)
+n(3205,10)
+f(1813,25,1,9)
+u(2213)
+u(1661)
+u(2189)
+f(2197,29,1,8)
+u(2157)
+u(1653)
+u(2165)
+u(2717)
+u(1621)
+u(1677,7)
+u(2061)
+u(1629)
+u(2725)
+u(1741,6)
+u(2821)
+u(1749)
+u(1757)
+u(2221)
+u(2173)
+u(2181)
+u(2205)
+u(3197)
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+
+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/profile_cpu2.html b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/profile_cpu2.html
new file mode 100644
index 000000000..077c8620b
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/profiler/profile_cpu2.html
@@ -0,0 +1,578 @@
+<!DOCTYPE html>
+<html lang='en'>
+<head>
+<meta charset='utf-8'>
+<style>
+	body {margin: 0; padding: 10px 10px 22px 10px; background-color: #ffffff}
+	h1 {margin: 5px 0 0 0; font-size: 18px; font-weight: normal; text-align: center}
+	header {margin: -24px 0 5px 0; line-height: 24px}
+	button {font: 12px sans-serif; cursor: pointer}
+	p {position: fixed; bottom: 0; margin: 0; padding: 2px 3px 2px 3px; outline: 1px solid #ffc000; display: none; overflow: hidden; white-space: nowrap; background-color: #ffffe0}
+	a {color: #0366d6}
+	#hl {position: absolute; display: none; overflow: hidden; white-space: nowrap; pointer-events: none; background-color: #ffffe0; outline: 1px solid #ffc000; height: 15px}
+	#hl span {padding: 0 3px 0 3px}
+	#status {left: 0}
+	#match {right: 0}
+	#reset {cursor: pointer}
+	#canvas {width: 100%; height: 752px}
+</style>
+</head>
+<body style='font: 12px Verdana, sans-serif'>
+<h1>CPU profile</h1>
+<header style='text-align: left'><button id='reverse' title='Reverse'>&#x1f53b;</button>&nbsp;&nbsp;<button id='search' title='Search'>&#x1f50d;</button></header>
+<header style='text-align: right'>Produced by <a href='https://github.com/async-profiler/async-profiler'>async-profiler</a></header>
+<canvas id='canvas'></canvas>
+<div id='hl'><span></span></div>
+<p id='status'></p>
+<p id='match'>Matched: <span id='matchval'></span> <span id='reset' title='Clear'>&#x274c;</span></p>
+<script>
+	// Copyright The async-profiler authors
+	// SPDX-License-Identifier: Apache-2.0
+	'use strict';
+	let root, rootLevel, px, pattern;
+	let level0 = 0, left0 = 0, width0 = 0;
+	let reverse = false;
+	const levels = Array(47);
+	for (let h = 0; h < levels.length; h++) {
+		levels[h] = [];
+	}
+
+	const canvas = document.getElementById('canvas');
+	const c = canvas.getContext('2d');
+	const hl = document.getElementById('hl');
+	const status = document.getElementById('status');
+
+	const canvasWidth = canvas.offsetWidth;
+	const canvasHeight = canvas.offsetHeight;
+	canvas.style.width = canvasWidth + 'px';
+	canvas.width = canvasWidth * (devicePixelRatio || 1);
+	canvas.height = canvasHeight * (devicePixelRatio || 1);
+	if (devicePixelRatio) c.scale(devicePixelRatio, devicePixelRatio);
+	c.font = document.body.style.font;
+
+	const palette = [
+		[0xb2e1b2, 20, 20, 20],
+		[0x50e150, 30, 30, 30],
+		[0x50cccc, 30, 30, 30],
+		[0xe15a5a, 30, 40, 40],
+		[0xc8c83c, 30, 30, 10],
+		[0xe17d00, 30, 30,  0],
+		[0xcce880, 20, 20, 20],
+	];
+
+	function getColor(p) {
+		const v = Math.random();
+		return '#' + (p[0] + ((p[1] * v) << 16 | (p[2] * v) << 8 | (p[3] * v))).toString(16);
+	}
+
+	function f(key, level, left, width, inln, c1, int) {
+		levels[level0 = level].push({left: left0 += left, width: width0 = width || width0,
+			color: getColor(palette[key & 7]), title: cpool[key >>> 3],
+			details: (int ? ', int=' + int : '') + (c1 ? ', c1=' + c1 : '') + (inln ? ', inln=' + inln : '')
+		});
+	}
+
+	function u(key, width, inln, c1, int) {
+		f(key, level0 + 1, 0, width, inln, c1, int)
+	}
+
+	function n(key, width, inln, c1, int) {
+		f(key, level0, width0, width, inln, c1, int)
+	}
+
+	function samples(n) {
+		return n === 1 ? '1 sample' : n.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ',') + ' samples';
+	}
+
+	function pct(a, b) {
+		return a >= b ? '100' : (100 * a / b).toFixed(2);
+	}
+
+	function findFrame(frames, x) {
+		let left = 0;
+		let right = frames.length - 1;
+
+		while (left <= right) {
+			const mid = (left + right) >>> 1;
+			const f = frames[mid];
+
+			if (f.left > x) {
+				right = mid - 1;
+			} else if (f.left + f.width <= x) {
+				left = mid + 1;
+			} else {
+				return f;
+			}
+		}
+
+		if (frames[left] && (frames[left].left - x) * px < 0.5) return frames[left];
+		if (frames[right] && (x - (frames[right].left + frames[right].width)) * px < 0.5) return frames[right];
+
+		return null;
+	}
+
+	function search(r) {
+		if (r === true && (r = prompt('Enter regexp to search:', '')) === null) {
+			return;
+		}
+
+		pattern = r ? RegExp(r) : undefined;
+		const matched = render(root, rootLevel);
+		document.getElementById('matchval').textContent = pct(matched, root.width) + '%';
+		document.getElementById('match').style.display = r ? 'inline-block' : 'none';
+	}
+
+	function render(newRoot, newLevel) {
+		if (root) {
+			c.fillStyle = '#ffffff';
+			c.fillRect(0, 0, canvasWidth, canvasHeight);
+		}
+
+		root = newRoot || levels[0][0];
+		rootLevel = newLevel || 0;
+		px = canvasWidth / root.width;
+
+		const x0 = root.left;
+		const x1 = x0 + root.width;
+		const marked = [];
+
+		function mark(f) {
+			return marked[f.left] >= f.width || (marked[f.left] = f.width);
+		}
+
+		function totalMarked() {
+			let total = 0;
+			let left = 0;
+			Object.keys(marked).sort(function(a, b) { return a - b; }).forEach(function(x) {
+				if (+x >= left) {
+					total += marked[x];
+					left = +x + marked[x];
+				}
+			});
+			return total;
+		}
+
+		function drawFrame(f, y, alpha) {
+			if (f.left < x1 && f.left + f.width > x0) {
+				c.fillStyle = pattern && f.title.match(pattern) && mark(f) ? '#ee00ee' : f.color;
+				c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+
+				if (f.width * px >= 21) {
+					const chars = Math.floor(f.width * px / 7);
+					const title = f.title.length <= chars ? f.title : f.title.substring(0, chars - 2) + '..';
+					c.fillStyle = '#000000';
+					c.fillText(title, Math.max(f.left - x0, 0) * px + 3, y + 12, f.width * px - 6);
+				}
+
+				if (alpha) {
+					c.fillStyle = 'rgba(255, 255, 255, 0.5)';
+					c.fillRect((f.left - x0) * px, y, f.width * px, 15);
+				}
+			}
+		}
+
+		for (let h = 0; h < levels.length; h++) {
+			const y = reverse ? h * 16 : canvasHeight - (h + 1) * 16;
+			const frames = levels[h];
+			for (let i = 0; i < frames.length; i++) {
+				drawFrame(frames[i], y, h < rootLevel);
+			}
+		}
+
+		return totalMarked();
+	}
+
+	function unpack(cpool) {
+		for (let i = 1; i < cpool.length; i++) {
+			cpool[i] = cpool[i - 1].substring(0, cpool[i].charCodeAt(0) - 32) + cpool[i].substring(1);
+		}
+	}
+
+	canvas.onmousemove = function() {
+		const h = Math.floor((reverse ? event.offsetY : (canvasHeight - event.offsetY)) / 16);
+		if (h >= 0 && h < levels.length) {
+			const f = findFrame(levels[h], event.offsetX / px + root.left);
+			if (f) {
+				if (f !== root) getSelection().removeAllRanges();
+				hl.style.left = (Math.max(f.left - root.left, 0) * px + canvas.offsetLeft) + 'px';
+				hl.style.width = (Math.min(f.width, root.width) * px) + 'px';
+				hl.style.top = ((reverse ? h * 16 : canvasHeight - (h + 1) * 16) + canvas.offsetTop) + 'px';
+				hl.firstChild.textContent = f.title;
+				hl.style.display = 'block';
+				canvas.title = f.title + '\n(' + samples(f.width) + f.details + ', ' + pct(f.width, levels[0][0].width) + '%)';
+				canvas.style.cursor = 'pointer';
+				canvas.onclick = function() {
+					if (f !== root) {
+						render(f, h);
+						canvas.onmousemove();
+					}
+				};
+				status.textContent = 'Function: ' + canvas.title;
+				status.style.display = 'inline-block';
+				return;
+			}
+		}
+		canvas.onmouseout();
+	}
+
+	canvas.onmouseout = function() {
+		hl.style.display = 'none';
+		status.style.display = 'none';
+		canvas.title = '';
+		canvas.style.cursor = '';
+		canvas.onclick = null;
+	}
+
+	canvas.ondblclick = function() {
+		getSelection().selectAllChildren(hl);
+	}
+
+	document.getElementById('reverse').onclick = function() {
+		reverse = !reverse;
+		render();
+	}
+
+	document.getElementById('search').onclick = function() {
+		search(true);
+	}
+
+	document.getElementById('reset').onclick = function() {
+		search(false);
+	}
+
+	window.onkeydown = function() {
+		if (event.ctrlKey && event.keyCode === 70) {
+			event.preventDefault();
+			search(true);
+		} else if (event.keyCode === 27) {
+			search(false);
+		}
+	}
+
+const cpool = [
+'all',
+' C2Compiler::compile_method',
+'!ompile::Code_Gen',
+'+mpile',
+'\'Broker::compiler_thread_loop',
+'/invoke_compiler_on_method',
+' JavaThread::thread_main_inner',
+' Matcher::Label_Root',
+')match',
+'._sfpt',
+'/tree',
+')xform',
+' State::_sub_Op_LoadP',
+' Thread::call_run',
+' [unknown]',
+' __GI___read',
+'"_slab_alloc',
+'"alloc_pages',
+'(skb',
+'"check_object_size',
+'3.part.0',
+'"dev_queue_xmit',
+'#o_softirq',
+'"fdget',
+'#get_light',
+'#olio_alloc',
+'#utex_abstimed_wait_cancelable64',
+'"handle_mm_fault',
+'"ip_finish_output',
+'%queue_xmit',
+'"libc_send',
+'#ocal_bh_enable_ip',
+'"napi_poll',
+'#etif_receive_skb',
+'3_one_core',
+'"sys_sendto',
+'"tcp_push_pending_frames',
+'&transmit_skb',
+'"x64_sys_futex',
+'*read',
+'*sendto',
+'!raw_spin_lock_bh',
+' alloc_pages',
+'%ate_slab',
+'!sm_exc_page_fault',
+' check_heap_object',
+'!lear_page_rep',
+' d_path',
+'!o_anonymous_page',
+'#futex',
+'#softirq.part.0',
+'$yscall_64',
+'#user_addr_fault',
+' entry_SYSCALL_64_after_hwframe',
+'!xc_page_fault',
+' get_page_from_freelist',
+' handle_mm_fault',
+'\'pte_fault',
+' inet6_sendmsg',
+'!p_finish_output',
+'02',
+'#local_deliver',
+'0_finish',
+')out',
+'#output',
+'#protocol_deliver_rcu',
+'#queue_xmit',
+'#rcv',
+' java/lang/Thread.run',
+'4With',
+'*foreign/MemorySegment.copy',
+'@get',
+'@mismatch',
+'*invoke/VarHandleGuards.guard_LJ_I',
+':SegmentAsBytes.checkAddress',
+'Iget',
+'IoffsetNoVMAlignCheck',
+'%util/AbstractQueue.remove',
+'*PriorityQueue.add',
+'8offer',
+'8poll',
+'8siftDownComparable',
+'<Up',
+'>Comparable',
+'*concurrent/ThreadPoolExecutor$Worker.run',
+'G.runWorker',
+'!dk/internal/foreign/AbstractMemorySegmentImpl.asSlice',
+'VNoCheck',
+'OcheckAccess',
+'TBounds',
+'Popy',
+'Omismatch',
+'OsessionImpl',
+'OtoArray',
+'5MappedMemorySegmentImpl.asSlice',
+'Mdup',
+'6emorySessionImpl.checkValidStateRaw',
+'-misc/ScopedMemoryAccess.copyMemory',
+'OInternal',
+'EgetByte',
+'LInternal',
+' kmalloc_reserve',
+'"em_cache_alloc_node',
+'!sys_read',
+' lock_sock_nested',
+' native_queued_spin_lock_slowpath',
+'!eigh_hh_output',
+'"t_rx_action',
+'"w_slab',
+' one/nio/http/HttpSession.sendResponse',
+'(net/NativeSocket.write',
+',Session$ArrayQueueItem.write',
+'3.write',
+' prepend_path',
+'"ocess_backlog',
+' ru/vk/itmo/test/osokindm/CustomHttpSession.writeChunk',
+'PResponse',
+'9ServiceImpl$$Lambda.0x00007f5204154888.run',
+'D.lambda$entities$0',
+'9dao/LiveFilteringIterator.next',
+'SskipTombstones',
+'=MemorySegmentComparator.compare',
+'?rgingEntryIterator.next',
+'=SSTable$SliceIterator.next',
+'=WeightedPeekingEntryIterator.compareTo',
+'Znext',
+' seq_file_path',
+'$path',
+'%utc',
+'$read',
+'(_iter',
+'!how_map',
+'(_vma',
+'!kb_do_copy_data_nocache',
+'!ockfd_lookup_light',
+'!tart_thread',
+' tcp_push',
+'$sendmsg',
+'+_locked',
+'%tream_alloc_skb',
+'$write_xmit',
+'!hread_native_entry',
+' vfs_read',
+'!ma_alloc_folio'
+];
+unpack(cpool);
+
+n(3,58)
+u(115,4)
+u(123,3)
+u(429)
+u(413)
+u(317)
+u(829)
+u(1141)
+u(1037)
+u(1045)
+u(1053)
+u(1061)
+f(1013,12,1,1)
+u(1021)
+u(381)
+u(909)
+f(1029,12,1)
+f(211,2,1)
+u(429)
+u(413)
+u(309)
+u(397)
+f(545,1,1,53)
+u(553)
+u(673)
+u(681)
+u(937)
+u(945)
+u(873)
+u(929)
+u(921,9)
+u(745,1)
+u(746)
+u(562)
+u(722)
+u(778)
+u(786)
+u(770)
+f(897,10,1,8)
+u(897)
+u(889)
+u(881)
+u(243)
+u(429)
+u(413)
+u(325)
+u(285)
+u(469,7)
+u(1101)
+u(837,1)
+u(333)
+u(845)
+f(1109,21,1,6)
+u(1069,1)
+u(157)
+u(165)
+u(365)
+f(1093,22,1,3)
+u(293)
+u(1125)
+u(301)
+u(533)
+u(237)
+u(509)
+u(517)
+f(477,30,1,2)
+u(229)
+u(485)
+u(853)
+u(173)
+f(253,35,1,1)
+u(405)
+u(181)
+u(861)
+u(261)
+u(917)
+u(269)
+u(277)
+u(541)
+u(493)
+u(501)
+u(525)
+f(1117,22,1,2)
+u(149)
+f(813,24,1,1)
+u(821)
+u(133)
+u(869)
+u(349)
+u(341)
+u(141)
+u(445)
+u(373)
+f(1077,19,1)
+u(189)
+u(197)
+f(953,9,1,44)
+u(953)
+u(961)
+u(977)
+u(977)
+u(617,33)
+u(641)
+u(650,33,11,0,0)
+f(993,17,5,28,6,0,0)
+u(993,28,6,0,0)
+f(969,19,5,23,1,0,0)
+u(969,23,1,0,0)
+u(577,23,1,0,0)
+f(577,22,1,22)
+u(730)
+f(570,24,8,13)
+u(586)
+u(602)
+f(594,27,1,3)
+u(706)
+u(714)
+f(610,27,3,2)
+n(738,1)
+n(794,6)
+u(802)
+f(770,29,1,5)
+f(706,24,5,1)
+u(714)
+f(625,14,1,2)
+u(633)
+u(657)
+u(665)
+u(993)
+u(993)
+u(969)
+u(969)
+u(577)
+u(577)
+u(730)
+f(969,14,2,1)
+u(969)
+u(577)
+u(577)
+u(730)
+f(1001,14,1,8)
+u(986)
+u(986)
+f(754,17,4,4)
+u(754)
+u(690)
+u(698,3)
+u(762)
+u(762)
+f(357,23,2,1)
+u(437)
+u(421)
+u(453)
+u(221)
+u(461)
+u(389)
+u(1149)
+u(205)
+u(141)
+f(714,20,1)
+f(1083,1,1)
+u(1132)
+u(108)
+u(52)
+u(36)
+u(44)
+u(12)
+u(28)
+u(20)
+u(68)
+u(92)
+u(76)
+u(84)
+u(60)
+u(60)
+u(100)
+
+search();
+</script></body></html>
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/result_hw6.md b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/result_hw6.md
new file mode 100644
index 000000000..b10854c4e
--- /dev/null
+++ b/src/main/java/ru/vk/itmo/test/osokindm/results/hw6/result_hw6.md
@@ -0,0 +1,28 @@
+## Range-запросы
+Требовалось реализовать получение диапазона данных текущего узла.
+
+Результаты:
+ 
+Был выполнен следующий запрос: 
+
+```curl "http://localhost:8080/v0/entities?start=1230&end=4560000000" ```
+
+
+Два запуска профайлера на cpu. При первом запуске видна работа компилятора 
+<details>
+<summary>CPU флеймграф</summary>
+<img alt="cpu" src="../hw6/profiler/cpu1.png">
+</details>
+
+По одному запросу флеймграфы получились не очень информативные, но в целом видно, что с добавлением диапазонных get запросов процессорное время стало уходить на работу с dao - LiveFilteringIterator 75%, запись в сокет, для отправки ответа - 14% 
+<details>
+<summary>CPU флеймграф 2 </summary>
+<img alt="cpu" src="../hw6/profiler/cpu2.png">
+</details>
+Аллокации только объектов BaseEntry, MemorySegment, QueueItem внутри метода write, который, на самом деле, можно было создавать самому, тем самым контролируя процесс создания объекта, ну и также аллоцируются массивы байт внутри writeChunk.
+<details>
+<summary>Alloc флеймграф</summary>
+<img alt="alloc" src="../hw6/profiler/alloc.png">
+</details>
+
+ Флеймграф с локами пуст. 
\ No newline at end of file
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/get.lua b/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/get.lua
index 00a3f20de..d26c93554 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/get.lua
+++ b/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/get.lua
@@ -8,7 +8,7 @@
 
     function getRandomId()
         minId = 1
-        maxId = 10000000
+        maxId = 10000
         return math.random(minId, maxId)
     end
 
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/profile_get_8000.svg b/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/profile_get_8000.svg
deleted file mode 100644
index 5c1a8bcc8..000000000
--- a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/profile_get_8000.svg
+++ /dev/null
@@ -1,234 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="612" height="792" viewBox="0 0 612 792">
-<defs>
-<filter id="filter-remove-color" x="0%" y="0%" width="100%" height="100%">
-<feColorMatrix color-interpolation-filters="sRGB" values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0" />
-</filter>
-<filter id="filter-color-to-alpha" x="0%" y="0%" width="100%" height="100%">
-<feColorMatrix color-interpolation-filters="sRGB" values="0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0.2126 0.7152 0.0722 0 0"/>
-</filter>
-<g>
-<g id="glyph-0-0">
-<path d="M 0.359375 -3.203125 C 0.359375 -1.863281 0.953125 0.207031 3.320312 0.207031 C 4.921875 0.207031 5.824219 -0.65625 6.019531 -2.394531 L 5.15625 -2.394531 C 4.960938 -1.152344 4.429688 -0.53125 3.328125 -0.53125 C 2.023438 -0.53125 1.195312 -1.574219 1.195312 -3.214844 C 1.195312 -4.894531 1.988281 -5.929688 3.257812 -5.929688 C 4.320312 -5.929688 4.84375 -5.445312 5.03125 -4.527344 L 5.886719 -4.527344 C 5.625 -5.96875 4.796875 -6.667969 3.355469 -6.667969 C 0.964844 -6.667969 0.359375 -4.570312 0.359375 -3.203125 Z M 0.359375 -3.203125 "/>
-</g>
-<g id="glyph-0-1">
-<path d="M 5.453125 -4.636719 C 5.453125 -5.867188 4.726562 -6.5625 3.429688 -6.5625 L 0.71875 -6.5625 L 0.71875 0 L 1.558594 0 L 1.558594 -2.78125 L 3.617188 -2.78125 C 4.699219 -2.78125 5.453125 -3.511719 5.453125 -4.636719 Z M 1.558594 -3.519531 L 1.558594 -5.824219 L 3.304688 -5.824219 C 4.105469 -5.824219 4.582031 -5.390625 4.582031 -4.671875 C 4.582031 -3.949219 4.105469 -3.519531 3.304688 -3.519531 Z M 1.558594 -3.519531 "/>
-</g>
-<g id="glyph-0-2">
-<path d="M 4.921875 -6.5625 L 4.921875 -1.953125 C 4.921875 -1.070312 4.285156 -0.53125 3.230469 -0.53125 C 2.269531 -0.53125 1.558594 -0.964844 1.558594 -1.953125 L 1.558594 -6.5625 L 0.71875 -6.5625 L 0.71875 -1.953125 C 0.71875 -0.621094 1.675781 0.207031 3.230469 0.207031 C 4.769531 0.207031 5.761719 -0.640625 5.761719 -1.953125 L 5.761719 -6.5625 Z M 4.921875 -6.5625 "/>
-</g>
-<g id="glyph-0-3">
-<path d="M 0.539062 1.960938 L 1.296875 1.960938 L 1.296875 -0.496094 C 1.691406 -0.0078125 2.132812 0.207031 2.746094 0.207031 C 3.960938 0.207031 4.761719 -0.773438 4.761719 -2.277344 C 4.761719 -3.859375 3.988281 -4.851562 2.734375 -4.851562 C 2.097656 -4.851562 1.585938 -4.5625 1.234375 -4.003906 L 1.234375 -4.714844 L 0.539062 -4.714844 Z M 2.609375 -4.148438 C 3.4375 -4.148438 3.976562 -3.421875 3.976562 -2.296875 C 3.976562 -1.222656 3.429688 -0.496094 2.609375 -0.496094 C 1.816406 -0.496094 1.296875 -1.214844 1.296875 -2.320312 C 1.296875 -3.429688 1.816406 -4.148438 2.609375 -4.148438 Z M 2.609375 -4.148438 "/>
-</g>
-<g id="glyph-0-4">
-<path d="M 2.808594 -4.058594 L 2.808594 -4.824219 C 2.683594 -4.84375 2.617188 -4.851562 2.519531 -4.851562 C 2.035156 -4.851562 1.664062 -4.5625 1.234375 -3.859375 L 1.234375 -4.714844 L 0.539062 -4.714844 L 0.539062 0 L 1.296875 0 L 1.296875 -2.449219 C 1.296875 -3.769531 1.898438 -4.039062 2.808594 -4.058594 Z M 2.808594 -4.058594 "/>
-</g>
-<g id="glyph-0-5">
-<path d="M 2.394531 -4.851562 C 1.070312 -4.851562 0.269531 -3.90625 0.269531 -2.320312 C 0.269531 -0.738281 1.0625 0.207031 2.402344 0.207031 C 3.726562 0.207031 4.535156 -0.738281 4.535156 -2.285156 C 4.535156 -3.914062 3.753906 -4.851562 2.394531 -4.851562 Z M 2.402344 -4.15625 C 3.25 -4.15625 3.753906 -3.464844 3.753906 -2.296875 C 3.753906 -1.1875 3.230469 -0.484375 2.402344 -0.484375 C 1.566406 -0.484375 1.054688 -1.179688 1.054688 -2.320312 C 1.054688 -3.457031 1.566406 -4.15625 2.402344 -4.15625 Z M 2.402344 -4.15625 "/>
-</g>
-<g id="glyph-0-6">
-<path d="M 1.296875 -6.5625 L 0.539062 -6.5625 L 0.539062 0 L 1.296875 0 Z M 1.296875 -6.5625 "/>
-</g>
-<g id="glyph-0-7">
-<path d="M 4.527344 -2.105469 C 4.527344 -3.816406 3.886719 -4.851562 2.429688 -4.851562 C 1.117188 -4.851562 0.269531 -3.84375 0.269531 -2.296875 C 0.269531 -0.746094 1.089844 0.207031 2.410156 0.207031 C 3.492188 0.207031 4.238281 -0.40625 4.429688 -1.429688 L 3.671875 -1.429688 C 3.464844 -0.808594 3.042969 -0.484375 2.4375 -0.484375 C 1.566406 -0.484375 1.070312 -1.144531 1.054688 -2.105469 Z M 1.070312 -2.71875 C 1.132812 -3.589844 1.664062 -4.15625 2.421875 -4.15625 C 3.195312 -4.15625 3.726562 -3.527344 3.726562 -2.71875 Z M 1.070312 -2.71875 "/>
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-<path d="M 3.492188 -4.714844 L 1.484375 -4.714844 L 1.484375 -5.453125 C 1.484375 -5.769531 1.664062 -5.929688 2.007812 -5.929688 C 2.140625 -5.929688 2.800781 -5.777344 2.835938 -5.671875 L 3.457031 -5.671875 L 3.457031 -6.589844 L 1.84375 -6.589844 C 1.152344 -6.589844 0.738281 -6.191406 0.738281 -5.515625 L 0.738281 -4.714844 L 0.109375 -4.714844 L 0.109375 -4.105469 L 0.738281 -4.105469 L 0.738281 0 L 1.484375 0 L 1.484375 -4.105469 L 2.746094 -4.105469 L 2.746094 0 L 3.492188 0 Z M 3.492188 -4.714844 "/>
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diff --git a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/profile_get_alloc_8000.svg b/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/profile_get_alloc_8000.svg
deleted file mode 100644
index 6106235b1..000000000
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diff --git a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/profile_put_8000.svg b/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/profile_put_8000.svg
deleted file mode 100644
index e7aa8cae8..000000000
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diff --git a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/profile_put_alloc_8000.svg b/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/profile_put_alloc_8000.svg
deleted file mode 100644
index b3416eb97..000000000
--- a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/profile_put_alloc_8000.svg
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7+jn5+fzss2gZIBzC6Uka7v90XAQAAi83iCho4PCWb16yQSLTNzQBgLxJZOTlZOjTLoFkNwK6n2T11uukhprPYNt42y0aCEEIIIYSQueANkgg9Kkgej69Wm2UoXdN4a5drBAF2XnZ2XuafLSKAMP0FjhD6KzUdA3TXXwR7gH37Yk2FBorv+o+J4wsuvgDA/6NCB1CkoovuIzAuOY9r9L+PjohBkZRWZesYcAgAHIaCQ3t1gSVjsigCwGg0Ag0CD4HAoz0xNE3TNN3XzxF4FkMIIYQQQg8ZTGeBEEIIIYQQQgghhBBCqEs4iYwQQgghhBBCCCGEEEKoSziJjNAj6ujYsUaNxixDnV12VhwlNstQCKH7cCbwjFFj7OYgZXvLGjMbzRIP4/ru3dlff31b5bWffsrfto3U64+OHdtVx8Tnn69KSup0U+WFCzcOHzZXhKRef2TUKHON1kN2OO4wqA0dayiS2mq1FQBOTDtRl1X31y4JmxLkKfLjk453NWbmfzPlKXKzh9oLYlbGSGIk3RykqbAp+6tss8SDEEIIIYTQowNzIiP0iJq9bRuLz797u3sw6d+TbD1tzTIUQug+TN4zmc1nd3OQxsxG//XmTGcsWrCA1Ovvo+PoN98UuLt3ukktlyvKy7sX1wNmccRittXf+OEatUYgoN/IfjP+N6OrNg25DU6BD+ST+iZ8OkEgFHRzkIqICv8VmLkbIYQQQgihvwdXIiP0iLqweTOl05llqKsfXa1NqwWAkqMl+/z3bbPbdmT0kZq0GrMMjhC6qyvPXCF1JAAUfFkQOTLyzNAzKWtTdM26hvSGmEkxTBtKT50ZekZZpmwtak1cnBgxOCJmYow4TMxs1bfoufZcgtXVo/ruh+TcudJjxwCgrb4+8YUXjk2adH79ek3Nnz4ZjG1t51avvr57d8fK3J9+aszNlaekXHrjjYuvvHJi2rT4jRubiorqr10r2LatIioq9+efaYrK++WXU7Nnn5o9O+/XXwGA1OtPzZpVevz4ialTmXL+b7+dmjkzctkycXQ0AOiVyqR//CNs3LhjkyZl/Pvfff/JbIyo5VGklgSAwl2F+wP27/Pfl/tj7m1tkv+ZHL0ymiIpAJCdl3mHeLfcbEl+LRkArnxwJX1Leti4sD2ee2KfitUr9Hm/5MnOy1LeShFHiXWturin43Z77D484nDF2QoAkMZJz68/n/RyUuSySGmcNHZNbPRj0Xs890TMjai/Vt/rR3+79E/T6zLqAKD0WOnhwYd/d/n9+Pjjtem1Rq1xd7/dCrGCaRa1NOr679d1rbrYJ2J3u+7eK9yb8kaK6SfefL3ZaYhT+Mzw+uz2IwqfGV6bXmuRI0IIIYQQQuhBgZPICCHzIA1k4vOJwbuDn296PmBlQMbnGZaOCKFHS2Nmo/SENDgueFHGIoJNSI5JXIJcKD3VWtwKAPVX6m1FtnYBdvmf5wvnC5cWLB333bi8T/KYmbXq89Uecz16KLC0Tz6x9fR8LDl51GuviaOiTPWU0Zj8+uuuY8cO3bSp047SuDj/0NCVSUl2Pj6Fu3a5jh49fPNmv8WLR736all4eFVy8uLTpxceOyaOipIlJACArrm5Ljt7QVgYALTV1+taW1ckJQ3dtCnziy8AoOTwYaColcnJS86ckcTGNhUW9tDx9oT67PqrH1xdeHLh2sK1zJd2JllfZjXkNsw7PI/FZgGAJFoiWiTq2CB/a/7CEwvXFq1tKWkpOVoy8pWR3nO9p303zXex76V/XuI78TdINwT/Hnx+3XlNnQYAKs5WOA5yDN4dDABlp8oC1wdukGxwGOCQ801OLx7xnZAG8uJLF2ftnLWxZqN/qH/2F9kcK473PG9pjBQA9Ep9zeUa/1D/wm2FNEU/Xf70E5lPlJ8qb8huAAClRGkrwltnEEIIIYQQ+ttwEhkhZB4Ei1hXss5rlhepJQkWoWs1zzJnhNA9chjmEBIfYu1ubVAZWFyWUWEkWITHXI+ahBoAkMfKvZZ7AUDQD0GDXh4EADRFG9VGoAAA6lLqXKe49kRUpF4vv3Rp9FtvsXk8t6Agr9mzTZuufvRRS0nJ2Hff7aov39HRKziYxeF4BQcbFIqOm8RnzwauX893cLB2dQ147DFpXBwAkDrdmLfesvXyAgCaJAeuWkUQhM/8+UzfgU8+Oe277zgCgUGlYvP5eqWyJ463h5RHlAduCHQd7cqx5kz4ZIKpvnhf8dWPrs7ZNYdjxQEAiqQMKgPf4U+pirxme9n72fPsed4h3vqWWwlGKJIqPV467r1xbC67/4T+wulCSZQEAGw9bUe/Ptq6nzUAWLlY+S3zY3FYfsv8dC195VOdYBFPFjwpnCFkTjd6hR4AfJf5SqIlACCLlQmnC61crIa9MCx4fzDXlqtX6jlWHKZZxZkKv6V+Fj4AhBBCCCGEHkCYExkhZB4EiyjcWVhytMTK2cq6v7Wlw0HokUPpqbwteY0Zjba+tqZHsQnnC2/8cmPQy4Nq4mtmnpoJAI0ZjTd+u0EbaaeRTkAAABjbjCwOq/tZlTula27m2trybNvXftp6ejIFo0ZjbGsDAFl8vM/cuZ32dQoMJAgCAAj27bGpq6vzfv65cPt25qXLqFEAwOJyrfv1Y2pYXK5DQEDHvpra2uyvvlJXVTkGBprv+HqJpkbTb1T7odn52pnqKxMrfeb75P+aP/2H6QAgvyT3mHb7inJTR4L9p3QlmhoNZaTOLjlrqiENJADYetl27PvHj8CcqU66iWARxbuLS4+V8p351m7tpxufhT6XXrlkUBnEZ8UBTwQAgKpKdfW9q0qp0mWki6lvXVrdiFdG3D7ig5HaBCGEEEIIIUvCSWSEkHlUXqi8vuf6qqurBP0FsgRZ2pY0S0eE0KOldGepQWkIiQ9hW7Gvf3OdqXSd6prxWkbthVqBl0DgJSC1ZMY/M6Yfne4S5EIZKPExMQDUJtW6zXDroaisnJ0NKpVepWLmkdXV1Y729gDA5vOnfv21NDY259tvvWbNYnG5f+1LsLq8X8rKxWXw2rW+ixcDgKaujtRqb2v/174Zn33mOXPm0OeeIwgidu1acxxc7xF4CBSS9rXYSumtNdSzts6y8bQJGxM24qURjoMcK85UjH177G19u0p1be1qDQDLYpbZeNgAQFNRk7WrdX12fcf5YvOmyTYX+UV58f7iFckrBP0FVReqMj/PBAC+A7//pP7Sc1L5Rfn0X6YDQMrrKaIFolFvjSIIIiI4AgDa6tusXKyYaXEAoCkaAEgD2VzUbLmjQQghhBBC6MGA6SwQeqTpWlvrc3I6Fu6bXqHn2fN4DjyVXJXzfQ6lpwBA26ytvlLdsYAQ6iEGlcHK1YrFZ7UWt0pOSCgDBQBsPttthlvuJ7ley7wAgNSSQINVfyujxlj0QxFQQBmomoQa9znuzCAt11vaato6FrqJxeV6zpx57YcfKIOhITe3MjGRqSfYbDaP57tkCc/e/sbhwwCgqqpqKS2964CkwQAAPvPm3QwLM6jVbfX1F154oT47+64dDSqVwMODpihZQkJDTg5lMJg2/fWTsPsfieblH+pfvK+4saCR1JMZn93KOM8RcBz8HYZtHnb5/y4DgFquthHa3MuApI5k89i+i3xzf8qlSKouq+7ktJP6Vv1dOyrEiqbrTR0LvU+v0PPseDwHnlquzv0xlzndAIDvMt/0T9L7T+7Ps+MBgEFhsPGyoSlafFZce6WW1JOSKIloSXvCaJ4tTxwppmm67HiZQWkAAJqiay7XGFQGU8EiR4cQQgghhFDfhJPICD3SGnJyEp59tmPhvvku8nUc5LjHZ8/ZxWcD1wVqajR5v+XVXK6JmB8BAKYCQqiHDNg0oDmvOSYoJv/f+YH/DJSelDbnNgOAcL5QI9N4LvYEAJ4jb8gbQy4svpC4IJHrwHUPds98I5PUkly79oXA2e9kV56p7FjovgmffKKSyY5PmZLw3HM+8+d33EQQxLj/+7/8rVt1ra0lhw7lfPvtnYdyHT1afvHitR9/HLx2rdPQoWcWLoxasUI4Y4bf8uV3DWPMW29d+/770yEhVUlJw55/Pv3TTymSZDb99ZOw+x+J5uU62nXS55OilkftdN5J07RVP6uOW4P+FVR9ubpwZ6Hb2HtaUe4d4p36TmpFZMXMrTObi5v3CPfEPRU3a+sshwCHu/bN35p/5V9XOhZ6n88CH4eBDocGHIoJjRm0dpCmVlO4vRAAfJf4KsoVA1YNYJpN/Hxi+sfpRwKPSKIlo98ZfenVS5UXKoUzhczWsf83Vn5Rvs9zX+G2QuEMIQAY24wRcyJaSlpMBYscHUIIIYQQQn1TX7xLESFkdk/IZADAV6tNNUfHjn08JYUjENzfgI4DdxJE+5q1s8vOjnhxhO9i326HeQsNNAD8wvrFjGMi9NBYKV0JcOscfibwzKLsRRyB5VNUcfXzuIZZTPn67t3ahoY7PDcPdYom9I4B200vdzjueKbqGa5NJ+k+HhFGo9FUjlkZM/T5oaKFIgvGc4+Ys9gOqx2WDgQhhBBCCCHzwJXICD2K1HI5TVEExwxTTgaNQSlRmpYxIoR6maZKQ5M0i9O3Tug0RSnFYo7NPaVWQF1RSpU0SbO4feuHaykGjUElVfFseZYOBCGEEEIIoUcR/lmC0KMo6ZVXxrz5Jptnhj/Fk/6R1H9Cf+E0YfeHQgjdh6vPXR32f8NYvL51Qr9x+HBbfX3AihWWDuTBFv1Y9KT/TGLz2JYOpE9I+WeKW5Cb+1R3SweCEEIIIYTQowjTWdyypqCgvUTg2/JIoGmaKRwdPtyykfSCJ+p2EXqSoGiCpFQyma6lBQBsvb35jo73MRqb18zmNbF4zWq5Ui1XA4CN0MZGaEOY6d8OcxcwAOy132uWARF6yKxrWscU1FK1vlkPADYiG56jpVdoUjZAuhKkq67ZoKmupowGvoOjwMODxbV8no0HB83iNbF5TWxec2t5q7ZRCwAO/g5WLlZ37flQIv+glqtNpxuBh8Bcp5seYjqLHXQ+2Jv7fV4qZQoWf3d2+PhYOgTYWFYGf1zpWZzpmnPfwIGWjQQhhBBC6L7h33V/0bf/LEFmRBAE3Wf+uuhx/FiaD7QagAPWA8C6vbaBvK/BSAAwABgAHMDGof12dXWHhMsIoR5lY2sDAAQQtkNtLR3LnxiM1aSxUmALAm+mQgEgtWxIDyIKgDKAwFsg8G5PW28wGCwbkgUpVUqggXAkbB3bf9vb2tosG1IfhxeytxBEH5lHfrSuORFCCCH0kOpbd78ihBBCCCGEEEIIIYQQ6lNwEhkhhBBCCCGEEEIIIYRQl3ASuXOkXn98/Pi7NlPL5RlbtnS1NfG558Jnziw5fPjMvHlhY8bUZ2ebNUaEuiV8YLhRY+zmIOmvp+sV+pP+J80SEkLo/uxy3mVQdzfdQf5v+TVXaswSD6Pg54KMDzNuq8z+PDv3m1xSRx4QHvhrF5qiLz53Me+HvL92ZKikqsuvXzZjkJHBkfWZ9Uy5aHtRXVqdukodMS0i85PM+xgt7rE4Wazsb3Vpvt6c+22uLFYWMS2iY33CUwmFWwvvIwYTg9qwx37PhY0XOlZmfpy5x35Pc1Fzd0bu4zLfyCR1t+dqqkmqSd2Y+tfGrcWtxT8X90pcFnA6NLQ+L+/ObZSVlZf+9a+utkY99dSBoKCCvXsTXnll7/Dh2T//bO4Ye0/WN98U/P77XZvl/vZbbWbn//xrs7IODBt2cs6c63v3hk2aFLthg7ljRAghhBDq0zAncrcYNZr6nJw7NJj67bdu48cPeuqp+HXrei0qhO7F1H1T2Xx2d0YgtSRBEN0cBCHUfQvDF7KtuvsvseZKzfDN5nzKqG+oL6n/e3nXa6/Wuk10857vTRo672hQG+qu1pkjuk7UpdcFPh94Y88N1/GuQVuC7mOEcZ+Ms/G0+VtdJGclvst9lRLlfezuXtSm1BrbjBxrjml3HMHDfO1Hakkg4N5PTPJzcs9Fnj0aUh9n0GhqupgzZQT/8otw0qThGzdmfPttr0VlQU1FRQ7+/l1tdQ3J198AACAASURBVB09esGhQwDgOGhQ/vbtvRgXQgghhJDl4UrkO7n+++8RwcFn5s0rDw8HgIRnnqlMSGA2XX3//aI9e5JffVUpkSRt3gwAsvj4qKVLT02ffvmddwz4hDHU56VuSCV1pEFhSH0mNXxQeMSwiJwPcmiavv7j9fTX05k2jVmNZ8eepSlaeloaNTHq1IBTcSFxjdmNzNbai7X9Z/S33BEghNrFrIghtSQAXP3w6h6PPb/3+z1ycaS2UVudWn1gQPuCX1JP/t7v95YbLY35jScmndjptPNAwIGivUXMVm2Tlu/IJ1jmfCKX+LS4ZE8JAGhqNecfO39YdDhmcYy68k/nR6PGGDknsuDnAualNFLqs8hHHNHeMTI4smhn0YlRJ8KGhGX9O4siqcQ1iYoyxfnHzgNAS3FL9Pzow6LD0fOjW0tbmfblx8uPjzxel1Z3W19m/MxPMw/7Hj7odTB2Ray2SdsxEl2TjufAq8+qv/bVNXG4OOe/OZSBSn8//eigo8eGHsv9OpemaVJHhg0JK9lXciTgSKcB5Hyew6xrbsxtPDPjzJGAI1ffuXps2DGVVJX5aWbOf3MipkYcHXA06ZkkvULP7Le5qNkx0PEOb+Nf96Jv1SesSTjoefCw6PDVd662BxYYlvZe2mHR4ROjT5QdKzN17z+tf+X5SqbcVNDEc+RZuVrd3w/U4kgdGT0+uuJwReToSFJHRgyOMNWHDwhnyrXJtW7T3S49eUl8TMzU3Pj1Rvor6aZBlGXK6PHRDekNzEvFDYX9IPveO4ZeV5WScmzOnP1jxlzZsoUyGiOffFIcG8tsSnrzzdwdO+Kee04hFsds2AAAzSUlZx57bN/IkWcee6ylvNyigfcIdVVV9OrVR4KC4l94oa2xsSY9/czSpcwmVWXlkaCgwr175ZcuZfznP7LERL1SefGNN45OmBC+YIE0Pt6ykSOEEEII9QU4idwlo0ajFIuXnDs3+auvsr74orW01HPWLHlyMgBQRmPVxYve8+bN+PlnO5Fo1rZtSokk/ZNPpv344/KEBJqm83/5xdLhI3RPSveW0jS9JHvJvIR5skhZc16z50LPmoQamqIBQB4r917mTZN05tuZ438YH1oU6rXIq+jH9lmn6oRqj2APi4aPELql5kpNycGSVVmr1ovXE2yieF+x+2R3Ukc2FjYCQFVSlb2/veNgx8vvXfZb7repbtPsnbNT30ylaRoAJFES38W+PRTY5X9ethXZri5ZPeaDMRUnK0z1lJG6sP6C22S34a+2r4DWVGtuW8lbcbIi9ErowsiFBT8VKMuVc47MsQ+wn3tyLmWk4lfHBz4XuKZije8K36QNSUz74t+L5xyY029cv9v6tt5srUurKztSFnoldHXxahaLVXqwtOOOZOdk3gu83ca7jXp7VMCTAWPeH1O0q6ghq2FF2orF8YvLjpdJzkoAQNeoq71auyRhSVcBAABloBKeShj17qjVN1ZzBBy1rH3evGhn0ZxDc1Zmr2y92Vp+ohwAVFKVnY/dHd66TvdStLOIpujVxatDr4aKw8WNOY0AoJFrdC261SWrZ2yfceXNK4oyBTOCX6if+LSYKUvOSHxDfe/559YX6Zp1jZmNs8/M7qpBTUKNR7CHcIGwJr49N4s8Vu61zIspt9W2pW5IHf3v0f0m9AMAdaVa4CXohbAtqOzs2aXHjz927lzlpUvFR474BAdLL1wAAMpolCQk+C9cOG/XLntf34X79lFG47lNm4auX7/+2jX/JUsSXn7Z0rGbX+mpUxM//viJlBSujU3ali1uY8eq5HJ1TQ0ASOLivIODh23cKJw+ffwHH3jPmZO2ZQvf3n5Vauq0r75KfuuttsZGS4ePEEIIIWRhOIl8JyNefZXN5bqOGeMzb15VUpJw5kz5pUsAUJ+VZevpaet56/5HSXS0d0iIQ0AAm8cL3LBBFhdnuagR+hsC1gdM+m0Sx4ZjUBnYVmyDwuAw2IFrz23KaQKAqtgqn1AfgkUsTF3oNsWN1JHAAoPCAAA0SRvVRq4919JHgBBq5zLKZVX2KhuhjV6pZ/FYeoWeYBG+S3wlURIAEJ8VD1w9EACCdwePeWcMANAUbVAZmG+MKhMqPWf3yE39pJ6sOl817tNxbD7bfYq790Lv9g00pL6a2ny9efzn7U8gaMxrdB7ufFt3/8f9OQKOfYC98whnfaveVF+XXkewCP8n/AkWMXjTYJVMpaxQAsCQ54e4jHJhcVh/7es8wjn0SqjAQ2BQGZj3p+OO5BfkHjP/9K2Y5LRk5Nsj+U58G6HNsJeHSc5IAIDUkkFbgux87boKAABqr9YK+gtES0QsDmvU26Pgj+XdHjM97HztePY84WwhcyySSInPEh9ma1Ne017nvab/S6OkXR1m4LOBM3fP5Nhy9Eo925ptOpCxH45l89luE918l/ky3QHAa55X9cVqo9YIAOIIsWip6P5+jn0EpaWG/2u4jU/nOUNokjZqjFx7rnC+sPZSLaWntHVaVbnKfZY7ABiVxtR1qc5jnIULhEx7+Tm5qfywGvXii9YuLjb9+4966SVxXJxPcLAsMREAatLT7by87Ly9TS1rs7NZbPaA5csJFmvI2rXKqiqFRGK5wHuE3+LFLsOGcaysxr3zjiwhgWCzPWfMqEpOBgBpfLxo/nxTS4okxdHRIzZvZnG5rqNGuY8fX5mYaLnAEUIIIYT6hIc5L143ERyOwM2NKdt4eWkbG+19fdl8fsuNG5UJCV5z53ZsrKmpkV+8GB0ayrzkOTgwa7sQ6uPaqttyt+Sqq9SOQ2/dT+250LM6vprnyKP0lPNoZ5qmKw5VSE9LeU48q37t90HXX63vN7GfhaJGCHWC0lOpb6fWXKlxCHAwKNufs+e3zC/7q+wx74wRR4lXXFgBANWp1Tnf5FBGym2cGzO/adAYCE5P5TfXNmi59lyePY95aetjyxSMaiPzbE9ppJSZ2ZRGSv0e97utu/PI9mnl21JtqGXqtvq205NOMy9thDbMtKyNl01XfUk9mfavtLq0Ont/e9P70x6MxvjXd6Ctts3Wuz1aW29bTbUGAFhclrWb9R0CAACNXGPj3R4G147Lc2g/dpcRLu3xsNuPpS69buhLQ03RLk9Zbtp7wlMJXe3FoDFkfJChkqqcR9yacydYhOnY7Xzt1PL25c8cAcd9qntVfJVjoCOLy7L3f7BTNxBcopN0HH9ccNWn1TNLjK09rO0C7OrT6tVStXCBkMVjAUBDWsOAZweIj4o11RqBhwAAmrKaBjw7oDfj732mFQ/2Pj5tDQ2O/v5sK6vGoqKK2Fi/RYs6tlRVVWkaGo7/cX1r4+6uVyh6O9weZvPHu2ErFFIkaVCpvGbNksTG+gQHNxcXC6dONbVsq6+nSPL8s8+aaihjd59FjBBCCCH0oMNJ5C7RRmNbfb21qysAqOVyh4AAAPCcNasqObkyMXH2zp0dG1u5uHjOnj3+k08AwKjRKMRigjBnZkmEekj2+9keIR6DXx5MEMSF0AtMpecCz6x/ZXHtuD6hPgBQn1pfcbQiOCrYytWq9lLt9e+uA4A8Vj745cGWDB0h9Ge5P+UalIbVOas5Vpz0T9uTwHrN8YrfEC89J7XzsbMT2Rm1xoSNCcvilrlPdicNZPG+YgCQxcq853nfcez7Z+1qbVAY9Ao9M4+sqlQ5OzgDANuKPWPnDHG4OPOjTO8F3iwuq6W4xXHQ7dmBu0rTbO1mLegvCL3a/t1tfWa90zAn6DA/+9e+hb8WGpSG0KuhHCtO9ufZHTdVxld6Bt++ENu6v7W6Us0kLFZVqgTugo7jdxWAqSNTNqgNzN0bALff/aVt0Fq5WN35aqHTvZxbes5rvteI10cQBBE9P5rZRFO0pkrDzCOrZCo7/1tZMnyX+4pPi52GOPku973Dvh4IHX++zCJ6AGgtamUK1bHVg14axJSZjBaqCtWA59uniV2nuo7aMsqoMRZ+VTj+x/G6Rh3PmffQX62p5HKmoJTJbD08AEAUHCxNTJTExS06eLBjS+t+/QRubk+cP8+8rMvJcQ4M7OVoe5r6j3dDXV3NsbLi2dl5zpiRtmWL+Nw5zxkz2Hy+qaWVszMAzNu7l1lQ0lJaauXs3FpR0emwCCGEEEKPCExncSf5v/xCGY0NeXmV5897hYQAgHDmzJKDB7k2NvZ+7aulKL0eALxCQioTEpRSqVGjyfrii5uHD1syboTumUFlEAgFQEFVbFVDZgNloADAeZyzrkFXfqjce7k304Zrx+Xacdtq2kq2lzBt2mrbrN2tOw6lb9E3ZjZ2LCCEepNeobd2s2bz2Y0FjTcO3CD1JACw+WzvEO/Ut1IHrBoAAGQbSdO0wENgUBsyP8+kKZrSU5IYiWhBe5aDhrwGVZWqY6GbWFyW13yvrM+yKANVn1kvi5Yx9QSHYPPY/qv8eU68op1FinJFx3nPOyB1JAC4TXTTK/TSGClFUjf23rj47EWCc5fZQIPCwLw/TYVNpYdLKT1l2lQZW+k1z+u29qJlorzv8wxKg6ZWc/2367clgrhDAG4T3FQylSxWRlN03vd5AACdhSaNlvos9LlzzJ3uxaA02Hja0BQtjZLWpdWZDiTnixzKQNVn1YtPi30W3xrZa76X/IK8/ES5aPmtQ6ApuvZqLZPPhCncOZK+hsVl0TRdm1xL07T4iJip7HhiEs4XVsVUKW4o3Ka031XGtmYDwLB3hslj5c35zfI4ucfc9gQmaplaUaLoWHho5O3YoW1p0dTV5W7bFrBsGQD4BAcX7NnDtbFxDAhg2jCXsu5BQXqlUhIfT5Fk0eHDCa++SnAetrUm4qiopuJiUqfL+vZbv8WLAcDKyclx0KDcX375Uy4LvZ7N43nNmnV9zx6KJBsKCqKfeEKvVFoucIQQQgihPgEnkbskcHdncbln5s698u67E7ZsYe4HdBs3ztjW5m2618/Li8XnJ2zc6Dx06Kg33kh64YWIkBC9UjnmnXcsGjtC92rk+yPz/5sfNTGq+nx14CuB2e9l0yRNEIRwnpDFYzkEOgCAxxwPW3/byKDIS+suiR4Xaeu0ef/JcxrpdNtQjZmNyWuSOxYQQr1p5Csj67Pr94v2X3738rj3x5UcLKnLqgMAv1A/RYUi4LEAAOA78cd/NP7k5JPHJxznO/BFi0SJmxKNbUZTuomkF5NKj5V2LHTf5B8mqypUR/yPxK2Iu20xLEEQE/47Ifer3PLj5aIld0/Xa+drx7ZixyyK4Qg4wUeCr3157YjfkZv7b84+MPuuS0qHvjS08Vpj2KCwjA8yRr07qvRIaUN2AwBQJEVqSdM7YDLkhSHOI5xPBZ2KnB3p/4R/xxlYALhDABwBZ/b+2ZkfZR4ffpxnz2PxWaaMFh1VJ1e7z3C/c8yd7mXcp+OytmSdGHFCdk424s0Rl9+4TJEUm8+28bQ5PuJ40sakid9M7Limm2vL7T+pP03SHSuNbcboedGtN1tNhTtH0tcQLGLUJ6OufXjt7IizBJvg2nKb85o7npjsB9qzrdke8zw6Ll4GACs3q8EvDc7/LL/+cr1pfrlsX1n+f/M7Fh4a3rNmnV669OSiRaJ58wKWLwcAj4kTjRqNKZeFvY8Pm88/u2oVx9p6/q5dWT/8sH/06BthYXO3b3/4lmn7LV2a8u67x6ZPp/T6oP/7P6bSe9YsvVLpOXMm81I4dWrGF1/IEhKmfP55a3l52KRJF197bfLnn9uLHux84gghhBBC3fewXR12x5qCAgCAu10xR4SEzPz1V8fBd7+RP/G554a/+KLb+PEAEL9u3ag33nAdO9YckSKzYVJXHx0+3NKB9LgnWp8AAFDfqgkfGL40dylH0KfXGR0XHrd0CAj1RZv1mwGA+OMkvst51wbZBq6N5R90aTAaSCPJlAt+LmirbTM9N+/RYVAarr57deyHY208baoSq9LeTVuZubJH90jqyEPeh9bXre/RvViKQqmAB/YxEye9Tvbm7p6XSuEeLu4PT548f/dulyFD7jpg1FNPjXntNeGkSQCQ8e23bD5/7Kuv3kskO3zussq+F2wsKwMAuNtDSkqOHatMSprz2293HbA2Kyvn++8XHDoEAPLLl/O3b5+/b9+9x8Ncc+4bOPDeuyCEEEII9Sl9ev6or6EMBnlKCsfa+l5mkBHqyzRVGpqkWRy8FwGhB55SqqRJmsXtW/+caYpWlCqYx5c9arh2XNcg10ubL2kbtRwBZ/r26ZaOCKF2lMEgTUriWFvfywzyo8CgUpWeODFkwwZLB4IQQggh9ADASeS/ofTYseK9eyd98cU9trdycbn6wQeBGzcW790LACxeJ3ezImQRqc+kjnh/BPPAeoTQA+3c4+cmfj6RzWNbOpA/KdpRpKnRjHx7pKUDsYzAZwMDn+29h5KxuCycqkb34vrBg3k7d87+4Yd7bG/t6nrxrbdGPP98bWZmXU7OiOef79Hwet+pefM8Jk3y/SO5x52xeTxVVdXJOXOGrF9/fe9et3Hjejo8hBBCCKE+BdNZ3LK+ahdTIDp7W3StLUqJhGzT8hwc7EQijrX1X9t0pKmtVUok+tZWo1YLAGwrvp1IZCcScfhWZo8c3R/KaEsZ7Sm9K1B3+Wk+BGh+GcXJpzhSGhrUErWuWQcAtiJbnlOf/m6jl28ERuhB8bLxZaagKFfomnQAYO9nb+Vi4fMLSZJGo9FoNLY1tqkr1ZSB4jvxbbxs+toq6YePXqEHAIIguHaWT2liXiTV/r9Or836LPqPBBzH3I/15n431e1j9tzpm6VtaW6tqDC2tfEdHR38/LjWd7lRQF1T3Voh1ra0wB+HY+Pu4eDnZ+Xo2FUX04Hv7r/xPuI3r011ewEA6M4v7AGgtaJCU1MDAPZ+fgL3/nf+HTPqtAqxWCEWk21aAGBbW/EdHe19fW363yWzOaP9naFht/vGv3MQCCEAgNXXrxMARE9OXtB//Pfo0KE9thOEEHrg4UrkW3hOV6GLGWQA4DmBnS9TbAFouYfRwDEQAOwATI+bbwZoNkOgyHzUNcsehRlkACB0AWydh9H+CwAQ+AgEPu1/OtJ3yxVoKX02MIT6Ajarfd2x04DbH3FpQSwWy2AwGI1GrgPX0eHWNBNFURaM6lHAsW2/nHv43moCCIIguJwHb3KctkQiZ8rqArPvTnHdoV/7hGcdQB15t9GsfMHKFwA6fjvVApBz54595/TNsk8BABbd5ZdYzqPAeRRTLAMou/NobABXV3Ad3/HCnryXjiZ9551B6EFEA/ToN9IEwMN2BkUIoR6Ai4MQQgghhBBCCCGEEEIIdQknkRFCCCGEEEIIIYQQQgh1CSeRewRN0YnPJHa6abfzboPacB8dc77KqblcAwAxoTHSGCmpI3c77zZtTXohSduk3SnYuctu1y77Xbuddp+acqo6tbrToZRSZcqrKXc+hJIDJTsFO4t+L7pzM3RXx8aONWo0lo6iE2cCzxg1xm4Okvlmpl6hPz3gtFlCQgjdn2322+5wZrlHeb/kVV/u/Kxxf67/ej37k+xuDkJTdMqLKTn/zin8qbD7Id3YdaM+vV6eID897nTlucr7GCFxVWJVXNXf6tJS1FLwQ0H2J9kHXQ62lrSa6vUK/WGPw8nPJN9HGPehpbglcVXi8YHHTwSeuLjuolKs7J399r4rr1whdbdnXJAnypOeSvprY+an0xthWULBzwUZH2VYOoq+oj67PnxauKWjQAiZQVNh4blVqywdBUIIPYpwErlH1FypcZ/c+XM2FoQvYFux76NjY15jW10bAEzYMsFtvFvHTUatkSAINp8NAOsr1z+neG5txdqAJwIS1yV2mn/NqDLWXK258yGUHS9zn+JefqL8zs3QXc3cupXF51s6ik5M3jOZ+Z25b6SWNP3iIYQsaMmZJXc4s9yj6ivV7pPu6QlR90i0XDRg/YBuDlKfVu86wdUs8QBAfXp9v6B+ZUfKRn842muB132MMPqj0S7jXP5WF1mUzGuRFwBwbDiSCImpvvJcZa89cpCm6AtPXvCY5bEsY9mK3BXOY5wvrr/YO7vuZaSWBALu/cQki5J5L/Lu0ZAsyDfUd/DGwZaOoq9wGOgw9Yeplo4CIWQGdr6+4z/80NJRIITQowgnkbtUn1UfPi18v+f+s/POtpS0AED6x+lZn2ednHTyoN/BhPUJzMPQm4uaz4ac3e+1/2zI2dab7SuMJGclPot9ZOdlCesS4lbHHfQ7GLUoqjG3EQDinogjtSQAlBwoCRsedkB04MKzF5ihTB3TP07P+ymPqUn/OD33u9yCrQWVCZVX3r0ijZZmfpZZl1HXMdSqhCrPOZ4da/iO/MBnAtvq2sg2MmphlPismKlPeiEp76e8uNVxilLFuRXnuoq/ra6tNq121u5ZtWm1mpr2VbQRsyJKj5UeHXq09mptx3JjfmP41PA9rnsODzp8Y98Nc/8ceo+2oSH51VdPTp0atXRp1YULAJD7ww/5v/wSs3Jl+IwZqW+/bVCpAKC1rCx+3bqTU6bEr1unEIs7jtBp++RXXqF0OspgyP7669OzZkUEBxds29Zxcp/U6yOCgwu2bj09Z070ihWSmJjeOd4rz1whdaRBYbjy7JUzQ85Ejoi89tE1mqaL/1ec+WYm06Ypuyk6KJqmaFmE7NyUcxGDIxLmJTTlNDFb65Lr3Ka7db0HhFAviVwWyZxZLr9/eafrzu2O2yMWRLQ1tslT5Ht99zJtSD253XF7843mhryGsPFh2+y27RHtub77OrNV26TlO/IJljkfey6JkJTuLwWA5sLm6ODooz5HT408VXqoFADiV8SXHWl/GlXBjwUpL6QAQM6/c44PPB7mG5bweIKuScdslUXLvBbemu3961DyRPmlZy9dXHfxxJAT8Svim/KbAKApryl6TvSJwBMZ72WEjwpXyVQAoGvW8Rx4N36/IY+X53yaUxlbSRmorI+yTg47eWrkqfzv8mmalifKUzenpr2VdmHNBQCQRknPTDpzfPDxlBdSDEoDAOR+kduY1QgA5WHl4WPCw8eE536RGz4mnIk/98vcqJlRJ4acuPTcJb2y/czeUtTiONgRADznekrPSE3HIouUec5tP3fTFJ33dd6pkadOjTyV900ec1yJTybGLYk7NuDYhTUXquKqomZFhY8KLz1YCgB/jZzUkadGnCo9UHoi8ETeN3mZ77d/jJcdKUt6Oqmttk1dqR6wbgDfkc/ms4e/Ptw+wN6gMnR6jH0WqSPDR4aXHig9OeQkqSPDRGGm+qNeR5lydVK1xyyPhJUJpl+wwp8KmV8whqJUET4yvO5q+3VUS3GLw2CHXjyIXiU+Lb6x9wYAVJysODHyxEHhwYipEfWZ9aSWPOh50LQa/fzK8zf23NC36hOfSjzkdeiI75Gr71x9+J4C13qzNfWNVADQt+pjV8Xucduzz3Nf6pupNE1nf5md9HwS06w2rfZgwEGaotM/St/ntW9P/z3RS6O1jVpLho4Q+jOlWJzx+ecAoFcqk1955dj48ScmT878z38evg8uhBDqa3ASuXPGNmPcqrhRb416Wvq0X6hfwroE5px0fcf1uUfnrspd1Xqztex4GWWkYh+PHfLCkHXSdX6P+cWvi2e6q+VqW09bAKg4XTHo6UFP3XzK3t8+9/tc0/iNuY3pH6fPOz5vTfEaykBlbsm8reNthr803CvYa/LXk30W+fx1qzRG6rPgT/XaRm3RriLPEE+OgOOz0EcWKwMAykhJY6R+oX7zwubZD7BfEL6gq/jLw8tFi0V2Pnaesz0rTleYhi3aWRRyOMQ1yLVjOe39NN9lvhvkG2Zun3nlnSsP7sk747PPbL28ViQlTfjss6vvv6+pqwOAm0ePTv/f/5ZERysrKiTR0ZTRmPyPfwx88smVKSk+CxakvvnmbYPc1r5jfVN+/qKIiLmHD0uioirj4zv2aquv1ysUyxMShmzcmP3ll71wsCZl+8poml6YsTD4fHBVVFVLXotwvrA2sZamaACQx8m9lnnRJJ39bva478YtLVgqXCQs/qmY6VudWO0+x5zrFhFC3VF9ubp4f/Ga3DXPVD5DsImiPUUeUzxIHdlY0AgAlRcqHQIcnAY7pbyT4h/q/3zT8yG7Q5JfT2Y+tCvOVvgu8e2hwLI/zvZe7L2qbNXknydnvp9J07T3Yu+q2PakEJUxlaIVovr0+vKj5YuTF68sWEmwibLD7TOAmmqNjdDmDkMBgPSs1P9J/5X5K+387Ar/V0gZqIvrLo54a8TKgpUcG466Ut2+o9hKz/megc8Hesz2CPoiyGu+V8nukobshiWpSxbELhCfEMuiZEw89gPsJ/8yWVGmSHs9bca+GSvzVtIUnfvlrZN4a0lrzmc5c47NWZK8xDQdCQAlu0tm7p+5LH2ZolQhPikGAJVMZePTHr/DYAeaopnva41qY0NWg/uM9o/QsiNlVeerFicvXnh+ofikWBYtAwD5efm4z8eFZoW2FLdc++La/Oj5E76ZkPdVHrOjv0aua9LVpdUtiF3gNc+rKr797ZVFybyXeAs8BI6BjhfWXJCeleoVeoJFzNgzg2vLvcMx9k26Jl19ev38c/O7alAVVyWcK/Ra7GXKOlIZU+m70pcpt9W0XVhzIejLILdJbgCgkqlsvTu56HrIUAYq9dXUab9Oe0rylGiZKPfrXLYV2zPEszKuEgAMSkPt1VrRclHxrmKaolcVrVp+ZbnktKTxWqOlA+8phdsLgYK1ZWsfz3i8/FR5Q3aD7zJfaayUufKRREoCHguoTa8tOVzyePrjT5c9TbCJGwce4EUSCD3Ebh45QtP0iqSkRRER0tjYpkIzZL5CCCF0BziJ3Lnaq7W2Xrb+K/xZbNawl4ZpG7SKMgUACGcK7X3tefY8zzme+hZ9bVotwSYGrBpAsIghzw5RSVWKCkVjbqPLiPZ7Xa1crERLRCwOS7REpGvVmcaviKgY9PQgpyFOWULsXAAAIABJREFUHGtO0EdBzERtx473jiIpg9rAc+AxL/d77d9lv+ug78HMLZmj3hgFAD4LfWTnZABQk1pj52NnJ7K7dZidxQ8AZcfKBq4dCAABTwR0zGgx9MWh/Ub3Y3FYHcuzds4a9dYoAKAp2qAyMJfgDxzKYJAnJ4949VUWl+s6ZozHtGnyixcBoP/EibZeXlxbW/cpU/QKRUNuLsFiiRYvJlisgFWr1NXVKpms4zi3tTfVy+Lihr74Is/BQdC//+D162Xnz3fsRZNkwOOPEwThPW+eQdmreSr91/lP+GUCx4ZjVBnZVmyD0mA/2J5jx2m+1gwA1XHV3su9CRYxL3me62RXUkcSLIJZqkaTNKkmufbc3owWIXQH/Ub3eyrvKVuhrUFpYPPYzFyh3zK/isgKAKg4UzHoyUEAMHff3HHvjYM/f2jLEmTec3rqpv4pv00Z9towAAAajCojTdHei72rk6pJPdlW26YoUwiDhU7DnZakLBF4CIwqI4vHYm7QacpvchrmdOehAIDvzPda5MXisLwWehlaDfVp9db9rb0Xe7M4rOFvDIc/VlfXXKxxn/6n770kZyQj3hzBd+QLPASBmwOlZ6UAYO1hPeSlIVYuVpJwifcSb8fBjmw+e8jLQ5it7R3DJf6r/R0GOnDtuEP/MdRU7z7d3VZky7PjeczyMLQa4C/ZEkTLRMxi5KqEKveZ7ix++2WY+IQ48MVAviPfur91wNoAaaQUAJxHO7uMduE58FzHu/qv9ucIOMIQoUauoUiq08hJLTnm4zG2IlunkU5GtVFZrjRqjLUptUzijvnn5guDhdd/uX4i8ETckjhm7vsOx9g3kVpy9EejbUWdz/xSJGVUG3n2PO9F3jVJNaZfMI85HgBgUBouPHmh37h+pp9IZVQlk2nkIceCldkr3ae7k1qSYBHMPy7REhGTFrwyvtJ9qruVs9XgTYNn/D6DY8sxKA1sa7a+VW/puHvK0OeHztk3h2vLNSgNHCuOXqF3HurMs+cx9/mJI8UBqwL6jez3eMbjNkIbg9LA4rEe4ncDoQfawNWrp37zDUcgMKhUbD6/l/+MQgihRxDH0gH0UW21bTbe7UuHCIKw9bbVVGsAwGVk+yQvwSYAQC1Tt9W1nRh/gqm08bTRt+glUZKAJwKYGpeRLgRBmNqbaGo1/Ub1Y8q2PrZttW00TYvPik0db7nblGxNSo371Ft/Fa+vXM9z4NE0XZNSE/tE7PLE5U5DndjW7Mb8RvEZsV+oX8e+ncavkqlqr9YmbkgkWARlpPStelWVilkfbet16882U7nmSk3ut7kUSbmOdQVz3gndq7RNTVw7O65AwLy0EQrb6usBwDEwkKkhWCwA0FRXaxsbo0NDmUpB//76P1+s3NbepK2hwcbDo31wDw9mcBMWl+sQEAAABLu38wu31bTl/ztfU6lxGHrrfl7hAmF1fDXXkUvpKadRTjRNi4+IKyMquY5cq35WTJuGtAaXCX/7Ow+EUM+h9NSlNy9Vp1Y7DHAw5SXwX+6f+UXmuPfGVZyteOzSYwBQnVKd9VUWZaTcgtyYD22DxsDisHouv3ldWl3hT4W0kXYe7czsUeAhsB9gX3elTiVWeS/yZvPY+jZ91gdZdel1dn52RlX7Mz9lUTLTGtKuhgIAp+FOHU+1mmqNwKv9w5xrx+XZ8wDAqDES7NtzuGvrtKaWNt42bTVtAGDj2X72V1eqq85XRU6LZF7ynfimW2001RqnEe2z2wKhwDSg0/D2StNJvyGjIfDFQFMDn+U+qS+mjnhrhCxSJgoVmZJZqSvVeV/lFf7YvoSKSbts5WJlGo0pm/KNdBo5i8uydrMGAIIgPOd6VsVXCYSCfkH9+I58AODacoe/MXz4G8P1Cn3pgdLzy88vz1je6TEyb2bfZDrGP/njSqnuSp3bZDfo7BeM2fr/7J13QBTH98DfXqfcHb0dXZoiVUFRUERExB5NjIlJbIlppnxTfib5xsQYzVdTTNfElhgTYzQWVEAUUUF6lY50uMYd9XrZ3d8fS04CiCZUdT/+4TA3896b2d3Z3bczb7w3edcerVUKlMRRk+RJvDc9+CGDEQpS/XN1/cl6pjmTZdNzUjnGOGa8lqGT65rON7mtcAMApUCZ+16uvFluMdliTO0dcRR8ReaWTHmTvPfUDbclbk2JTUwLJqpBbabaaDo1mW9nijPFnAmccR7mhYTkYUYpFhfs3q0QCMy9H/zBnISEhGQ8QDqRB8bI1siwABbHcQVfYWxnDL3e33qK2RgZ2xmvzF1J/Nma22ox2aLosyIi+iHAHad6G9say1vkRFreLDeyMUIQpKOiw1DRMJ+3raTNIcJhEFMbzzf6/8e/TyaCIPYR9jYhNsIMofkkc2IycuP5xgXnFtzV/pJvSrzWeM3+YTaReXHlxfpT9X6b/eDvrnAirVfrr66/ujBxoe10W0yHVR+pHsTU8QzLwkInk+mVSpqxMQAohEKbkBBFS0ufd2mWpSXL2jruzBniT+nNm2aenr0L3Ond28jKSikUEp5ihVBoZGX1t1qUMVsTUPRekd1cO68XvBAEubaiZ58lh1iHoneL6By64xJHAJBkSBqPN0bGR7KsWa3prRV7KgBAkCzwet5rrMwmISHpT+GeQm239omSJ2gsWtbWLCLTaa5T8prkxsRGtgub48LRq/XJTyUvT1luP8Me1aEVhysAoCmpyTlmgFhJwwKqRm88f2PemXnWodaYDqv7rWd1CxHRoruue+ILEwGg4vsKnUy3OH0xlUUt2llElOmq6uJ6ce8qqs+tmWXDUvJ7ovnrFXrCASS4InCI6nszJUoSd15Fi8LI1gh63elY1izHWMdpn08j5HTXdBtGeJYNSynoUWHYOaC/JWqpmmnJ7H1fMPMxQzVoR3mH+IY47OuwhjMNBl3eG70Jj7lSqETVqKx+sOlUg1sOALwYXvXhapY1y2mREwA0nW+qOVoT9XsUADA4jEkvTeIn88U3xIO0cXzSu40Gn35HWQeRaElsmbS5Z2I4EdFCVifzeb7HiW8bYTt1x1S9Ul+0o2jGdzPUUjXLgjXO2zssiK6Lao7WLExZaGRjJLgqKPpfEQAwuAybUJuWSy2iNNGML2cAQNabWY4xjpNfm4wgSEJswt2k3sekv5buvMA54D8BCILEz40nMl2Xuqa/ks7gMjwe8wCAkq9LdDLdyvyVNBYtd1vumNpLQkJyR3K3b+fNnj1xwwYEQS6tWTPW5pCQkJA8+JDhLAbGdrqtvEneeKERx/HyH8uZ5kzOBM6AxbTd2saERgzFKg9VXll7RdYkG7BkH1wXu1Yfre6q6UI1aP7H+a5LXbvrug0V6ab0lksterW+q6ZLmCY01EI1aH9RCqHCxN6kf35nVackX2LhawEAzgucS/eW0tl0My+z3qL624/QkNoTtS4LXQxynBc4945o0QdUheI4bmxvrFPo8nfm4xiOaTEcw0WZImKVNJG4a4eMORQ63T48vHTvXgxFpTdvCtPSHCIi+hezCgzUyWT81FQMRWtOnMh8+22ERtN2dUmLigaX7xgdXX7ggE6hUEmlVb/84jhvHgB0VFYqxeIByxtk3ovwoaCX640djAEDwUVBW14bpsMAwCLYQtOmqf+1nnAi6+V6mimNzqarRKpbP97CtBgAqMVqI7u/TQfTdmqJ/aYMCRISktFE2601tjWmMqnSEmnFzxWoFgUAKpPqHON8/bXrXqu8AECv0uM4buJgolPocj7KIQbthoQG1zhXQoikWCLny3snhoherQccjOyM9Ar9zd03CY0A4LTQqel8U1dFl224LQDoZDqWDYvCpHSUd9T9XofpMFm9jO3OvhdRfbAOsVa0KPjJfBzDS78sBQAEQYhQuX1KOi9yLvuyTCfTqcSqyn2VhL+196/NCc2yOpleoc99J7fqwO2gqM4Lnet+r5M1yPRKfeW+yjs5IluSWohQEr1xWeqS82aOTZgNlXV7WrTzYudbP90iLEl9PFWSLYFBGdxyALCfbS/NkwouCYjQDTZhNm2FbbeO3NLKtKgG5V/md5R12ITZDNjGjtIOYvWVITEOodApgIHwqhDH8dpfeyJoq0Qq4pM/ADjFOTWfbzacYABAM6IBQMCWgJaElvbi9pakFl5sz8aG8iZ5V1VX78SDhE6mI6bkK4XKsm/LDFeN8yLngo8KbKbb0Nl0opiJowmO4U0XmiTZEuJ5oL2kXSFQ9E48AOhkOlNHUxzDG841iLPExFBpE2qjkqgqDlYQiwK1Mq2RjRGVSW0vba8+Wk10mqxR1lHR0TtBQkIytugUCmM7OxzDWlJSpEVFmE4Hvd6wBnnVIiEhISH5d5BO5IGhGdGif48u2Fnwi9MvdX/WzT06d8A962nGtJg/Ygp2FPzi9EvVz1XzfpvXeL7RdbHrXeVbBVlN3To1cWniMZ9jCBUJ2RbScK7BUNHrKS+6Cf2Y97Hz888TEyIAgBfFy3onqzGhsbccSYHEOsi6d85R16OHLA4dMj90YcGFoLeD7MLsAMA+3F6v0BtiWbDd2DQW7fz88/3t77rV1VnVyZvLMwh0XuDcmtfa3dANA8E0Z055b8rp8NOnwk4xuUynBU7XNl3Tq/Tn5p7rrO40JO7aIeOBkA8/7KqrOzN7dvZ7703/5BNjuwG2jKMZGc369tvSvXtPhYfXnToV/uWXCIJIiopSn312cOFeTzxh5uNzYdGi5FWrXBcudJo3DwByPvigKTFxwPIGmfcifCj4vuNb+r/SpBlJohSR90vehe8U4iiOIIj9PHsqk8r14QKA3Rw7U3fTxGmJGc9kOK9wVkvUpZ+UmvmZ9RHVlt9248kbvRMkJCSjScArAa35rYd4h9LfTA/5b0jlkUpxnhgA3Je5d9d3ezzqAQAsc9a0D6YdDzn+e/DvTC7TdaHrpbWX9Co9EfMBAK48e+XW77d6J4YI04zp/7Z/4tzEC3MuMLgMXgwvc3MmAHC9uDRjmmOsI4VKAQCfTT7txe1/+v5Z8H6B35t+dcfrqvZX9Y4mPIioPtCMaRGHIgo+LDgdeJrOoVOYFKoJFVWjDDajT0nvjd7mk83jp8cnzkt0XenqvPhv07EtAiyC3g9KeSzlVMApbZc2eHtw75/83vS7tOhSYnSizQwbOnfg6PCiNJHBg2nAeYmzJFvSR5f3Rm9zf/P46fEXIi84RDu4rXKDQRnccgCgmdCsplpxfbhE8AeWJSvqeFTT2abTk0+f8jtV/k155C+RbFf2gG3Mei2r4VRD78Q4BKEgUz6ekvt/uSc9TyIUhM6mtxW1WQTcjsPA9eLSjGi8WB5xghkwsjWatHlSwdYCcZrYcHSqD1YXbivsnXiQ4MXwOB6cPyb9cfnRyx6rPVStqsoDlQDgHOcsq5cRsSwAYMqHU/K35f/p/2fzxWa/1/0yX8/EUOzG5hv1f9YDgCHxABC6PTTn/ZxjPseaEpsC3wxM35yOoRiCIC4LXahMKjH9YvJLk6WF0qPuRzO3ZAa/E1z9W7UkX1K2ryz7v9kAYEiQkJCMLYGvv160Z098TAz/2rVJGzfmbNuGoWj21q3E9uaGBAkJCQnJcPHgL+K7dzYqNwIA8oD2yTHvYzEnY/7Fxn0PNgrRElzlPtZWjBpKDecTwx/xPvFxBXE043Ea04ZYp3za+fRYG0JCMh7ZjG3u/ec+zr4Nwg10k7Hf6FKpVGo0PbvIln9Xrm5VB28LHrzKsKOT6XLfyQ14N8DEwUR4VZi7JXdJ1pLhVSEtkDaebgx8P5DKoBZ9XKTp1Ez7bNrwqhg6N164YRlk6fOcz92Ljm8wDLsfg07ggAPAb1a/jabStd1rCd0Epd+UqlpVIdtDRtMG4vb9s9nPo6l0QDaqNwIABe/5iiApkKS/kr48fflY2UP0zH7j/WNlAAnJ/cuq8nIAMKzfaS8ry9m2LfaPP4ZXC7FM4/dJk+5SjoSEhOQhZpz6j0iGEUyHNSc304xppAeZxICSr8RRnEIj1yKQkNz3yJpkOIpT6OPrcsYxXFYrM7LvtwfayENn062mWGW+lKluU9OMaTO+nzHsKswnmzeebry89LJOoTN1Np2+Z/qwqxgKGIqpRCrBZUHg+4FjbQvJmIFjeHdNd++NHx9yOqs66aZj/6WNhIRk6HTV1dFNBgjnSEJCQkIy0pBO5Aef8gPlJV+VRB6IHGtDSMYRWRuzfLf4Uhjjy+tEQkLyL7iw/ELYzjAqg3r3oqNI1cEqlVg1+T+Tx0S71zovr3UjuPMnlUGdsn3KyMkfIh0lHamPp/q96WfiQL5jP7xU7q9UiVX+b/bde/nhpDW3teJARfC7o70wgoSEZNhpu3mz5vjxyS++ONaGkJCQkDyM3H/LA0eOTZpND14sC02HpqumS6/UM82ZXA/uuI1dMCZgejaqtcC0FoD1DZT54IEDpgchiov0IFY0KbQdWgAwcTFhmI3jtuNwgndirI0YmNV1dRQUBRyn4PjdS48nKFQqjUqlUqnDuzxc+xfDKHMMQf5irA25IzROBsWolsIQd9V1qdvUAMCdwGVZsMbWKgzDMAxDUVTdrla0KDA9xjRjmjiajLdZ0g82erW+u6Zb266lsqgcDw7TgjnWFg0JCpVCo9JoNNp4vh77g6FMVG2rU3igcr/R1EsxzUVYtxC6UNuhIK5BhjnD1NF09K5BnEFBHSn6STTd2E/Px5llOLMcaHy9ul3WKNMr9FQWle3KHsPIPziO/8T9aay0k5DcvzwtOoTgAACoSq3g8/VKJZXFMuHx6MbDttgCBxwQwAGO2G8YLpmjwIr8/J5XkX97lzRUPx0UNDw2kZAMH6vLy4nE/fQU+KBDuhRvQ6PSAOD+eku5KzRrmok1ORHpDtBUKL0JTJrG2o5RAsOx7q5uGtC47tyxtuUeGPe+WYxKpel0Y23FPwZDUQqDMewDHYPBkMvlwytzDMFxnEIZ135PffcMPSUZtEC1oZrYmACAHvTj5xBQ2VTORA6RxgDD9NjY2vNwQQOOD8fwl16vH0NbhgE9sK3ZNMr997yq1FirR9eDDACYPASnlSCIisKmsCeyiUwUUFSHjpYJOipKNR4HHmQAQDS+KK7HjEqADmwPtiF/rC4K/H776kxCMn5gWWQBAKAAZmBsT+QpANqGVwtOuS8vUgQAH8KD/RCrk5CMAuQJOq4Y1y/JJCQkJCQkJCQkJCQkJCQkJCQkJCQkYwvpRCYhISEhISEhISEhISEhISEhISEhIbkjpBN5RMAxPHlN8oA/7TXZq1PccQk8UTHz3czCLwr7/JS3M0+QLgCA+nP1JXtL7qpdp9B9S/32O8Z33zO//47x3QHrA5eeuaRX3efLWscxVzZcQTUDLBc9v/h8Y0LjnWrhGH756csjadcdOeF2Qq8Y6vmQtTlL2639w/mPYTHp/kWQlnbl+efvWqxk797W/PwBf2rNz//N3//MvHnS4uJTUVFHfX2H28aBSVy3rjElZdjFpm/eLLx+fehyRBkZafftximoVnsyNHSsregBx/Dsl7P755d8UlL9Q3X//JrDNdI86akJp/RKPQBkPZ+lk/3L4C2EakWLomBLwb3XElwS1P5ca/gz97XcAQfYe6F/G9sK2lLi7um0v7r8qjRXetdivbu3al9V6tLUM15nLs6+WPdr3b8w+N7p00skBCnrU/qfLU3JTReWXuhfuK20Lf+TgYflYaS9vPzS6tUjraU/Vfuqij8qHn29BqQlJWeXLh1DA3rTVtSWMDdhrK0gISEZBiQFktPhp8faivFI6Tff3Prll7G2goRkpLj24ov8a9eGLgfVao8PaxDwsv3742NjT4SGnl+4sPrXX4nMltTU6mPH+pQsP3Cg8NNPh1H16HP/xZi7LxDeENrPtB/wp8XnF1NZ1MErypsHiGspKZaYeZsBgKxZ1lHZcY/aN0o2MrlMAGivaE9alXTzu5vBb5I7Uw8/erUeEKAyBziy0z+ebsK7Y1hqYYbQbobdSJp2R2YdnUVhDekzEqpG79RqkgFpr6zkuLvf6VerwMCYI0cAYNmlS7/5+4+OSaFvvWVsN/xn4OSXXzaysRl2sST/Gmmu1CrE6t7Lt+W1TXhmQviRcOICb73R+q/jGhOq9Qr9vXhjDSj5SlmNjEgP+1DD8eQE7RjOB0dD9xZ9UNRR1BH8v2BTd9P2wvYba28wLZi8Bbxh1NWb3r1EQjDI7XhA6s7UTXhkwoiaBABsF5fgd98daS39cVzkiGnHMiI5x81txrZtY2hAbzgTOKG7x8uHPRISkqHA9eTO3DNzrK0gISEZbfxfecXI1nasrehL7Z9/NiYmhu/ZY+7j011ff/2ll4xsbZ2io5VCYXd9fZ/CLnFx6H24r1JvSCfyHRHniq+9fK2rtsvSz3LOvjnm3uaZ72ZSGJT6+HqlSMmbzZvzwxwGh9Fe3p76QmpHeYf5JPOo/VHmXuYAUHe2LvC1wKaLTeWHyzEdJsoUWfhazPx0pnWg9YVlF9YL1lNMKBU/V+TtyNN2a51jnGd/O5vBYRgqlnxfouArzsw701HZ4RDhMGffnMojlc3JzeJscXdDd9GeIkyDsSxY9mH2N/fe1Cv0rXmtZl5mUT9GWQVYGYT0aY7FRAveLJ6sSQYAmi7N1RevtqS0sKxYM3bOcFviphAqLq+7LM4WMy2Y4Z+GT3hkQua7mXqVvjGxUSVV8WbzovZHsSxYSrEy9YVUYbrQyMZoxicz3Ba7DdgnpT+U5u3M08q0vEhezNEYujF9wF4abyjFymsvXRPdEBnZGE3fMd11kWvWf7OoDGp9fL1SrOTN4s3eO5s44tdfut5e0W4x0SLyh0gzLzMAaLnU4hTt1JTcVPlTJabDRFkii0kWM3bPsAqwyvkwx/dZX5c4l9a81uubr3fXdVtMtoj8PpL4JNAQ3+D/iv+AFUe6vdfXXF9eulyP6rM2Z4nTxBQ6xeURlyk7p5TtKZPXy6d/Mx0ApHnS9PXpS4uWNp1tKt5RrJFqTF1NQz4PsZpiBQDCq0K72WPjAR+HYBpN+ltvCa5fN3FwmPbRR6hanfvxx4vOngUAeUvLhRUr/F98UZieLi0upjIYvNmzb37/fc3JkwDg+eij/i+9NFZm53z66aQ1a1zmzq05ezZn1y5VWxvHxWXWrl22Q/s2W/rttxMefdR+1qympKSSr77SdHSYOjlN2brVzMsrPjIy5uRJEx4PAK6/8ILj3LkW/v55H3zQXV/P4HJ9n3/ebfny/gJ1MlnO+++35uRQaDTnBQsCt2wZtU1Qi7/8ksnltqSmOkRE6BQKppmZz9q1RD6DzZ64oWcL77IffpA3NU3bsQMApMXFN15/fWFCz5Q3vUqVumGDU0wMUXHYEV0VNf3ZRDOhKQVKj/UetYdrZ/48k8i/deBWxNEIABAkCdyfdj/jdWbe5XkmziYAkPZkWm/nZsu5ltJdpZGnI1nWLG2Hls6hIxQkY13GoqJFBe8U6Lp0V5ddDf8tPHVJqn20PT+Bz7JhBW4LrPi6QlYj48Xxgj4OAoCGPxoqvqrQy/S2kbZBO4LobDqh2mO9R9rqNKVAmf5Uevgv4fxEfun/SrUdWpsIm+BdwXRTujRHWvhuoaJJwfZgh3wVouvWVX5diWkwhhnD901f8XWx7SxbAGgvai98t1DeKOf6cKfsnsKewO5TkePJUUvUBf9XIM2RMq2Yfu/5Ocxz6N9GlVBV+F7h3IS5JZ+UUOgUwUWBWqK2DrOesnsKnU1vy28r2FKgEqkcYhyICa0ln5ToZXpxmljTrpnw9ASGOaP2cC2dSw/aGWQZbEm00fNZTyVf2fB7Q2x6LMuaBQDW06193/SVZEh4C3j9reqvuuZQjbxeHvJlCAC05bdlPpe5MHehrEZW8H8F3dXdHC/OlM+nsN3ZJZ+UMMwZwotCjjdHkCww9FL/Xh2Jk21sQTXoUe+jIe+HZL2f9Uz9MwdtDz7X+RyRv99y//Py5wGg+VKzU7TT2ZizXk96TXxmIgDk78pvK2nzedqHENJR1RE/P37e0XkO4Q4A0F7WHvLfkJG2XNbYWLBz57xjxzqrq3O3bpURw90LL7gtX3712WddFi1yW7oUACoOHuyqrp6+a9dw6W0536JuVQdsDWg601Sys0TTpjFxNZn66VSzSWZnJ5+NuRJj6mwKANdXX+fF8ZyWOuW8mtOa3kqhU5yXOwd9HDT0Yba7vj7jgw+Wnj2r7e6+9uabwsxMCo02YcmS6R9+WPztt92NjbM++wwAWgsLU1544fGMjLoLF/J271a3t3OcnWd+8olNYN+n2SEZU9ud83ZOXEqctlub8WKGKE2E0BC3lW4h/wsp+bxEVi+b+d1MAJDkSq6tvbaiZEXhx4U1R2owHWYVYhXxYwTTgjmMxpCQkAyFrltdN16/sTx9ubZLm/psquCqgEKneKzymPH5jFF7Phy3KIXCa+vXy+rrLfz9gz/4gGVhMdYWkZAMGze//tpj1Sre7NmNCQlFe/YQ75ih27aZe3v/OXNm3Jkzpo6OAJD63HNO0dHOCxZkvfOOKDubQqO5Llo05d13+48PWpmsTxlMpzsXG+vx6KO3/viDyeX6btrksmABhqJFn3/ecP48y8rKOjgYVamm79hhECItLrYPC7OYOBEAuO7u/q++qunslBYXl/3wA6rVMrhcTKdjmpm1pKQ4zJpFodPVUmnQW28lr17tumRJ5U8/YTqd29KlAa++OriW8QMZzmJg9Cp9wiMJwW8FbxBvmPDIhKTHk4gtlUv2lsT9Gbemck1HdUf179WYHju/9LzfC34bxBs8H/W8+PhForqCrzB1NAWA2lO1Pk/5rG1ay53ALdh9eyWvpEiS+U7mwjMLn6l/BtNhWe9n9alY+Utl1IGoNVVrZI2yWydu+b/s7xTjFP55ePAbwVPfneq52nPah9MAoOFcg8ejHhslG32e9kl8NBFDsd5CetNW2taU3OQ8u6CNAAAgAElEQVS20A0Arr9ynWXOWtu8NvpQdPJTycpWZd7OPI4rZ4Now8xdM9NeTyOqlB8qn/fLvHXN62hGtPQ30gHg6otXuW7cdfx1UT9GXV53WSFQ9O8TZasy/c30JUlL1jauVUlU1b/dsZfGG9dfvs5x4zzd9HTkvsgrG64QrSvdVxp7IvaJsic6qztvHb+F6bHERxJ9n/ddJ1g3YeWE5Cd6gpY0JjY6L3AGgLrTdd5rvJ+uf5o7gVv46e2YJHqVPmllUtCbQWsFa92Xuyc/kUycUYaDdaeKI82tQ7cAg2U3ly24tqA5vrm9uN0pzkmQIsAxHAD4SXznZc44iue8njPtq2krbq1wWuRU9kUZUVdwWdDbQfOQI8zIsJs2beWNGxNWrLi2ebOFr69CKFSKxQDQdPmyU1TUxGeesQ8Pn/rOO45z5tSeOsW/dm3R2bNxJ07Unz/fPAIBJf4RqE537e23Iz//fG1pqXtcXMFXXw2LWEyny/vww5CPPlqWluYYHV3x449UJtNu5kwi0oVOoZAWFvKio29+8QUvKmpZWlrIRx8V7d494P71NceP4xi26NKlmJMnmy9d6igvHxYL75Gqo0d9n3vO68knBynjOHeuIC0NxzAA4KemOsfGIhQKAGB6/Y033rAKDh4hDzKBIFlg6m5K+B8HRCVSsd3YtnNshSlCANDJddIcKW9hjxNZkiEp/qg4/Gg44f3sc2mHfhVK59Ijz0SyrFhqkZo9gb2ocBHbg53+TPrUz6ZGX4xu/KNRXi/vLOss2Vky8/DMuOw4TIeV7S4zqDZxMgk7GGbqZhr+S7isTpb/Vn7Y/rC43Dgcw8s/KweAgi0FXpu8lpQusQq1qvy60nKKpc8rPk7LnXzf9AUAYYrQfq49qkIzNmR4v+i95OYSXhwv6/ksHMf7VCREmTibLCpcNOWzKbmv5apEqgHbaKD259oZB2fEpsXKa+XNZ5pRFZq5MdPrea9FhYs4XpyO4p51P8IUYdS5qNl/zK78ulJeJ4/NiLUJt6k9XGtoo7GDseiKyHKKZW/5nhs9A7cH3smqPqodYh1EV0TE2CtIFjgtdsIx/MbaG+7PuC8uWey42DFrU8+jQs2BGp9XfPy3+ht6acBefSBRSVXCDOHKGyvvVKAxodElzsV9mXvjhZ5AUvXn6j1XeRJphVBxYcmFiK8iCA+yrFHGdmWPgtkGij//nDd37rL09JDt2wt37cJx3HHuXOFfCzMFqalOCxYMu1JMh+W9kRfyZciyymWOCx3L95RTWVS7OXbCy7dHA8eFjrWHawGDxYWL51+Z33KupePmYIve/inlv/wCGPZ4ZubypKT6hARpSYnL/PnNV68SY2bjpUvuixbhKJq+ZcusTz99qqjIdcGCom++GUYDelN1oArH8BWlKxanL24829he1O68yJl/iU9cfc2Jza7LXCV5krrjdYvSFq0oW4FQkJrfakbIGBISkqFQ9kMZYPBk7ZMrc1fWnaqTFvyDNU8PKo3nz/u/9daCxESaiUnx7t1jbQ4JyfCD6XTZW7dO37FjZWam07x5pXv3UplM+4gIwbVrAKBTKCQFBU4xMbeOHcNxfPnVq3FnzzZdvNheVtZf1IBlVBKJpqtr2ZUrPuvW5X/yCQDUnjzZXlq66MKFiD17mpP7xq21nzmz5sSJ4q++6qyuxnHcJTbWY+VKq4AA302bXBct8n/5ZQCoPHLEd9Mm7zVreldsTEiIO3Nm7uHDFYcOddfXD65l/EA6kQdGmCE0dTL1WOlBoVL8X/ZXS9VdNV0A4DjHkePGYXAYTtFOmk6NKFNEoVK8HvdCKIjvc76yRllXXZekSGIZYEnIYVmy3Ja6UWgUtyVumi6NQX7tqVqfZ3wsJlnQjGih20JrT9UCQO+KzjHOHBcO3ZhuF2an7dLeyU6OG2fyc5MpNIr/S/44hksLpb2FAMAh+0N7TfZ+b/T9sYBjDrMcnOc7YyhWc6JmypYpVDrVNtTWYZZDw4UGIysjWZOsu7HbY6XH2sa1RF2PlR62IbY0I1rYzrDaP2tRHdqQ0BC6LZRKp9rPsHee79yQ0NC/T+gmdAqdIi2SUuiUlWkrfTf6DthLw3q4hgFUhzYmNoZ+EEqlU+3C7JxinBoTGwGAF8kjWucY7ajt1IqyRAgV8VzliVCQSc9OkjXJuuu6MRTTyXVE2BCWJct1iSuFRnFd7Nr7iIsyRSaOJhNWTKBQKX4v+anb1F01XdJiqaX/7VNlwIojjedazxn7ZtBMaHqZnmpE1XXruD5cOpveVtAGAC1JLS7LXYACi7IX2c60RTUoUEDXrQMADMX0Cj0xg54EANiurh4rV1JoNJ81ayhUamd1tUNEBP/6dQBovnzZOSamd+H6c+cmPv00k8s1srb2WLGi6eIYf1lBKJTHr193CAtDNRqEQtHKhmeBPEKhLDh3ziYkBNVqAUF0MhkA8KKiBNevA4AoPd166lSmmVnoxx97r1sHAIBheqUSsAEWX0947LHpu3bRjI11CgWVydTJB4j5M3LwZs+2Dw+nGRsPUobr4UE3NW0rKQEA/pUrznFxAAA4nvvhh13V1YFvvDGiFhrZGXk953WniXKdZZ1mk8wAgBfLI9xGolSRdZg105wJAJ3lnRkbMia9PsnUtefrY2taq/VM64E1UcDtcTcKjWIbYWs3287E2YRlzTKbbKbkK/kX+K6PuXK8OFQjqu9bvi0JLb1VG2iOb+bF8TheHCqT6rXJq+VCCwAwLZhdVV06uS7gw4DQb/623hxHcb1CT+fQ2/LbjB2MHRc5IlTEY72Hpl0jr5f3qYjpMNEVke9bvhQ6xWqqlV2kHeE0799GAzYzbUycTehsus0sG223ti2/zcjOyGWFC4VG8XzWk2nV06WOCx0ZZgwzXzOWLcv9KXcEQewi7ZQtyt5tVLeqWTYs6MedrOqjmuvNpXPo7YXtACC4KHBa5tSW34ZQEOdlzggFcV/jruQr5Y1yALCPtrebY0czvr2YbMBefSBB1WjYzjCOG2fAXw23Y7elbs2Xm1EtqhApOqs7nec7A4CmW3N+0XnbabbuS3vCCtWdqXNfcscQQyNB6I4dPuvWAQCOYXqlEscwhzlzxFlZqE6nkkpljY12M0dggTYFFmQssJlhg2pQhIIQ8c15C3jCS0IAEF0RWYdZMy2YE56ZMH3vdJoJTSfTUVlU4l4/XExcsyby66/pJiY6uZzKYulkMnMvLwabLSkuBoCmS5fcFy8GCuXR1FT76dP1Gg2CIMN1J+qP13qviP0RNNOelmq7tWY+ZgwOQ5ovBYCWxBbXFa4Wky0Wpy82tjfWyXVUxjD3BgkJyXAx6dlJUT9H0U3pOpmOxqJpu+/41vzw4BgTYz5xIpXFmrx5s/DatQEnZ5CQ3N9QKIsTE21DQ1GtFqFQiHdMp7lziXDJgrQ0m6lTmWZmnqtWzfz0U5qxsU4upzKZuoGeKwYsg6Oox6OPIgjiHBND5DQmJEx69lkGm812cXFbvLiPEOf58yP37ZO3tFzZuPH0rFnFX36pUyj6lOFFRjpERPR5nXRduJBmZMR2cTHz8dHKZINrGT+Q4SwGRilWsp16JqcgCMJ2ZhPzUq0Ce4IMUKgUAJA1y5Ri5W8BvxGZJo4mmk5NfXy91+NeRI5VoBUxZ54of1u+SGkd1POKznHhKEVKHMfrztT1rtijnTLYkhy2y+0ZNBx3jpwvlxRKDEIAYL1wPeHcbM1rjV8Qz1/D53pyMT0WvzDeUAbTYf6b/RUCxZ8z/2SYMYLeCPJ73q+3cLYzG9WgXTVdTC6TYcowmD1gn9BN6HMPzM3fnZ+yMcV5vvOsr2YN2EuDNGpMULWqmFymYf0v2+WvI/5XWAmEigCAvFmuEquOBx0nMk15ppoujSxNZh/eE4TaKqDniBPlDfQ5o0ydTJVCJf8q3+Mxj8ErjjRKgbLwg0JFi8LM97ajxynOSXBJwDBnYBrMMsgSx/HaX2obTzcyzBiGSXaSTIn1tDu4mR5KTB1uz9w0dXJSt7XxZs9uSk52mju3s6rK/u9+AYVQWPzNN6U//kj8aTVaEZDvBEKhVB47VnP2LNPMzMhq+EKpUCj1p041JSYyuFzDYjr7iIj87dv1SiUxXRcApIWFlYcOYShqMWkS3GERokosLv78c4VAYObtPWzm3TMDh43u91DuOHeu4No1BpeLabWWkyejWq1epdKrVADAT0lxjI4eOQuNHIwGsrDnf34i32mZEwDYz7Uv+L8CvUIvSBI4LXHq+TWB77LCpfanWtfHXREKolfpESpyp5CyFAaFzqEDAEJFmJY9DlZi1FJL1GaTe4YRY56xulWN47hBtQEVXyVMESbP7fm6zjBj4DgeuD2w5JOShJAE7kSu33t+1mG3xxZJlsQq1AoA1K1qY4eeBy8EQYwdjNVidZ+Kpq6mdDadZtLzbGPsaKwWq/u3sbc9hqGvpxWtamPnv7RQEGNeT5phyTBkEs56w1htaCPDktGW39ZbuKZdI0gS2M2xG9CqPqoBwCHWQXhZyDBnYFrMItCi6VSTWqo29JWRvRHhyep/uAfs1QdySS+FTjG27fs5x/CGLEgTELdjU56pmbeZIE3QXdftvtSdyqACgDBN6P+Kf8WhCnmLnFgDJMoS+b8yqsOvtLCw8uBBHEXNfX2J4c7Y1pbt6irNz5e3tPCioqj04Y9DglCQul/rmk43McwZLKuem7h9tH3+2/k6hY6f1HMCK4XK4m3FyhYldxJ32G1QCIU5O3bI+XxisSeBS0xM05UrTC4X1WqtAwJwHK/6/ffa+PhhvhP1QylQ5r+fr2hWmPvejq7mtNCJn8xnmjNRDWoVbKXt0ua9lyfJlrDd2Do56UEmIRmnKPiKzC2Z8ia5pZ/l3Us/HBjb2xsSOIrq5XI6e1TX3JCQjDQIhVJz4kRjQgKDy2VZ9lz7DrNn53z4oU6haElJcYmLAwClWFywe7dCIDC/8/vjgGUodDp3wgQAQKg9L0QqsdjkryvLyM5O09nZR451cLB1cDAASAoLCz/7TCWR9IlEYajeGzOfnmBrFArlXrSME0gn8sAY2xrLW3pmuuE4Lm+RG9sbQz+XrrGNsbG98RPFTxB/irJFln6W+bvyzX16nkrv5AI2tjM27J4na5IZ2RohCNJe0X7Xin0gYhwTyJvkxnbGvYX0xmaqDS+KJ70pJbZxW5q01MTeBADaK9qNrI2UIuXMz2dG7o3kX+MnPJJATNIxCJfz5RQ6hTOBo+nS6BQ6ugmd+NVhtoOsXtbHVE2nxmKyxWNZj6mkqvT/pBfsKnBf5t6/l+6ldaOJkY1R79bJm+QOsxy6G7oHPOKrClcRf4pzxBaTLTK3ZAa98VcA2TtM7u97RvH7HawxWhWQtyXPYZ7DxJcnIghyefFlItMxzjH37Vw6h+7yiAsAtKa31h2ri0mMYdmwRNdFpZ+WAkBLUsvElycOJvohQyEU3k4LBMZ2dqYODrnbtzcmJTlERFAZf5uyzbK09FmzxnXhQgBQisWoRqOSSEbb4l4IMjIqjx9fHh9vbG3NT0/P27NnWMRKcnPrz5yZe/Qoy9JSnJ1dvncvANDZbMuAAGFamiQ3d8r776MaTfa7787ev98qMBDT6erPnh1QVMHOnfYREd7r1iEIkjqScSEGxPAAAb3cVZ1VVTYhfwsf4Th3bt727XQ2u2caMgCVyZz+v/81X7xY9MUXDrNnU0bAPfSXhbdHqtsWlvc8eXTf6uZ4cACAzqFbTrUUXhFKMiTBu3o2WfV+ydvnZZ9Lcy81nmh0XeUqThXbRf6bWOcsa5ZSoCTSSr6SZc1CEMSg2gDTiukQ4xD8v2AA0Cv1sloZYIDpsPAj4agarTtaV/huYUzq7Zn7gmSB9wveAMCyuS0fx3GVUMW0YqIqtHfF6ORonUynV+qJWbpKvtJ6urWiWdGnjX+z++9jL8uGpWz+m5a7NtzQRttZtiU7SnrPR24539J4otHlUZcBreo/7PMW8Aq2FNA5dKelTgDAtGYa2RjFpPT0RltBG9eH23K+pf+3xv69+kB6kKHPqY71nOptxT2++/r4esPuwe5L3RsuNHTd6gp4LYDIcZzjGPFFhF6hz3o/K/pwtEqiYlmxRrOjUI0m+513Ig8cIIa7hjNniHxeVJTg2jV5U5PXU0+NhN7WG631x+qjE6JZ1ixxmrjs8zIAYHAYliGWohRR643WKbunAEDBOwUO0Q7eL3kjCHJl2ZXhtSHjgw+c5szx37QJQZDzjz1GZLrMn5/x3/8y2Gz3JUsAQJiZWf3HH0tOnzaythbcuDFcgZX6k/NWDi+G5/uKL4IgF+N6VgI5L3LOfiObzqG7rXADgPLvy3Uy3eIbi6ksatHOohGyhISEZIikv5buvMA54D8BCILEz42/e4WHAOVfryQqsZjKZJIeZJIHD3F2dt2pUzG//25kZSXKzCz57jsAYLDZVkFBgrQ0cXZ26IcfAkDu9u282bMnbtiAIMilv8eRMDBgGSImYW9YVlZKkYjr4QEAqtbWPr8mLFs2bft2Sz8/ALAOCgp47bWsd97pU6a/zP6Zg2sZP5DhLAbGfoZ9d2N3fXw9juMle0uY5kwzD7P+xexm2Gm7tPXn6jEUKztQlrwmWdYoM5swQMk+uC9zr/i5ovNWJ6pBsz/MnrB8Qldt110rGrbYxjQ9ie667vLD5TiGl/5YiupQhhljECFGVkbEojzXha5FXxZhKNaa33py5kltlzZjS0bejjyEgpjYm+A4TmwlVHOyRlIkQbVo1ntZ7svcaQyaS6xLzkc5GIqJskWNSY2uC1z7a+mq6Tox/YRCqGCwGQwuQ6fU9e8lCo2i7lALM4UAYEiMLVQ61Xm+c97HeRiKiXPETRebnGOd+xezDbPVdmkbzjdgKFZ+sPzy05cpNIpSoDRxMBlcvl2YnaxJ1nCuAcfxsn1lTDMmUIA7YbDJPtKbUjlf3jsxEuhkOmMHYxzDWxJbpLlSTIcBgOVUS41UU3OkxnmZM1GGxqbROXSlSFm5t5IooxKpjO3+Nh1M26mV5kp7Jx4quuvra8+cwTGs6rffEArFYuJEprm5madnyfff945lgWm1AOA8f37177/r5HKVRHLluedaCwruLHg00MrlDFNTBputEImKf/yRMFLT2SnOz++d+Kfo5HK6iQnd1FTV2lp95Aj210a0vKio0m+/tQwMpJuYoBoN4LiRtbVepSr/4QfAMEynwzFMWlioVypvi1IojO3sAMP4qanS4mJCVGdVlUos7p0YaejGxqL0dFSjkTU2tublEZkdVVVE8GvLgAB1e3vtiRPOf0U1RahUKp3usnAhg8O59fvvAKDg87tqa3snhheaKa0tv00tUesV+pazLQAgb5D3juHgEOtQtqvMMsTSsPCCZkSj0Cj+7/uX7i7VK/XCFKFd1ABOZMN95044LHBo/KNRVidDNWj55+W8Bbw+qgkJvDgeP4kvr5frlfqi94tqD9cCAtceuya6IqIwKUxLpl6l7ymvxQBALVIb2RkBgOUUSyVfKUgW4Dhe+3Mtw4xh6mbapyKFTrGNtC3/ohxH8baCNlGqiGhLnzYO0grLqZYqoar5bDOO4TWHatSt6sFb3buNbHe283LnjA0ZXRVdmB6T5kkrvqzwWO9xJ6v6YxFsoWnT1P9aTziRLada6mQ6wSUBjuJ1v9blvJyD0Pp6PIleGqBXATrLOgknuCHxIEGhU3AMb77cjON4+eGeGNAKgcJwO3Zb6lZ3uq6trI0X2RP7m3Dih24LrT9bLymQ1J+rd1vsRvzU3dDdXt7eOzES3B7ulMqyfftwDCOGMl5UFD8lpaumxjokBACIAVCnVBoSQ9Srl+npbDqdTVeJVFX7qgwPk7xYXsn/SqxCrIjRQC/XGzkY4RjOT+K35bYR9/rOsk6lUNk78e/QyWSm9vY4hjVeutSan0/sS24TFKRua6s6dsx90SIgbhlsNp3DUYjFJQcO9NyJurrEBQW9E0NHJ9OZ8ExwDG9OaJbkSIiWWk21UkvVt36+5fqIK1GGZc2iMCkd5R21x2qJTpM3yTsrO3snSEhIxhadTGfqaIpjeMO5BnGWGNWiANB2s03BV/ROPFTwk5O7qqtRrbb0m28c588HAIVA0F1X1ztBQnJfo1Mo6KamDDZb2dpKbExH5DvNnXvzyy+tg4PpJibw1/sjjmEtKSnSoiKiWEdlpbLXa+OAZfrjNG9e+aFDeqVSzuc3XrhAZMr5/K6aGgBwjI4u2LWrq7YWQ1Fla2v1b78ZopOh2n8QY2dALeMQ0ok8MDQjWtzJuJztOQdtDtacqIk9Hjvg1GC6MX3h6YVEsfJD5QtOLKiPr3db6nZX+TbBNtO3T4+Pi//Z7WcKlRK2I6zubN3gFZ2indLfTK8/V2833a4hsYHYi88uzK4pqemg/cGy/WULTixovNA4iBDuBC4RfDlyb2RHVcch+0MXV1+cs28OdwI3bGdYy5WW/Zb74xfEz9w1k+PKAYAJyydcffHqYcfDmi5NxJcRPRUrOw45HErZkBL9U3T/7fsAwGaqjd8Lfr8H/X7Y8XBXbVfYx2H9ewlBEFGGKD42HgAMiTFn9nezOyo7fnb6OfXZ1KhDUQO2jm5Mj/0zNu/jvMP2hysOV8w/Pl9aKLUOvntUB5oRLfaP2NyPcw/bH645WTP/2PyGcw1uSwY74lc3Xa35o6Z3YiQIeD+geEfxuannBJcEE1+ZmPtWLoZiCILwYnlUJtVsohkA2Efbc9w5Z4POXlt9ze0xN1Wrqmh7kUVA361+JbmS1MdSeyceKhwiIhouXDgxY0bdmTOzv/mG+K7Ii4zUymS8WbOIMvYzZuTv2tVy5YrPk09aTJp0dsGC88uW8WbPdl+6dExtB+c5c7ju7r9Om5b4zDNeK1YoJZKyI0dE+fkXnnwSAAyJf4p9RISpi8v5+fPTXn7ZZfFidVtbzfHjAOAQGSlvbiY8rQwOZ9ILL1x+4olLq1bR2Wz7WbNyt25FNZrUtWtlDQ0GUf6vvlry9dcX4uKE16/7rF9f8PHHOIrmbdtGhJM2JEYat2XLaMbG8fPmXVm3zuUvT3Hu1q1NiYkAgCAIb84cKoNh5unZuxaCIEFvv122b5+2q+vWsWPFX3wBAIbE8GIZZOm8zPly7OULUy/YhNsAgOCiwGH+7VgrDjEO8gY54aPsjX20PceTU/V9FapG6ey+M6bto+1TFqaopYN5VM39zH3f9k1fk54wLQGhIpO3TO6t2tTZlMqiXlt5zdzP3O8dv7Q1aQkhCbpunf9Wf4SCTP10auF7hfG+8dV7q0O+CgEAyymWoiuivDfyzPx7voxSjahh+8PKvyg/N/lcy7mW6T9Mp9Ao/StO2TVFdkt2LvBc3n/yQr8KNUTAMLSxel/1IK2gsqhhB8Iqv60843Wm/mi99Yy7DO99ujd4V7D9PPu8N/PiJ8UXvFXg+6av83Lnwa3qDYIgDjEOFAaF68MFAJoRbcahGRVfVMT7xTf83hC2P6zPtFmil0p3lfbvVQDIfyu/Ob65d+JBAqEg4Z+HX3/l+kGbgwgVYXAYrfmtNsE2hgIWEy1oxjS3xW594omZ2JkEvRl0460b/FS+wb9csrck853M3omRgMHh+L7wwqXVq5NXrWL8NdwBAMfdncpiOURGUqhUAEDV6ivPPCNraDAkhqjXbq4d2519fsr5tDVpro+6qlvVNT/VAABvPk/eICdOUQDwe8+vZGdJwrQEwWWBz8s++W/nYyiW+0Zu89lmADAk/h0h//d/uZ9++sesWc0pKf4vvHDjv//FUBRBEOfoaCqDYeHtDQCOkZFcN7fjM2Ykr1vn8cgjSqm04pdfxPn5F59+GgAMiaET9EFQ4UeFpwNPt1xs8X3NN/s/2cSTj2OsI4VBIZ58Jm6a2F7c/uekP/Pfz/d/y7/ueF1bYVvVgaqCbQUAYEiQkJCMLaHbQ3Pezznmc6wpsSnwzcD0zekYil1/8XrtyVoAMCQeKhxjY/M//DAxNhbT6fxefRUA6v74o/Srr3onSEjuaxwiItiurmeioq4+/7zb0qUqqbT62DEA4EVFyZqbXf5aEhr4+utFe/bEx8Twr12btHFjzrZtGIpmb93amJBgEDVgmf4aPVevZru4xM+fn7llC2/OHAaHAwC3fvut6IsvAMDvxRftwsKuPv/8iZCQlLVrTR0cpmzZAgBWgYGC69eL7/miG1DLOOTBXO3473hJ/xIA3EcrQJsuNhV9XbTkwpKREJ75bibDjDHl7SkjIXz8gA40RjyoYDjW3dVt+POE24nlpcsNYTrHHTgAwDHbY2Ntx8CsrqsDANodvlUaqDl5suXq1chvv72rwNb8/KKvvoo5cgQAMBT9zd9/zUAbyA4LLCMjyl8DXeK6dZPWrHGZO3foYtvbb0/fS9+8ecKjj9r/5T2/H6FSBw4KPH7Qm31I3sNJHgYsrS1plPF6q7ozynZfhSicSLeXl+dv3z7v2Gjc0XCzQwhdQKSr9lWpW9UBWwNGQa8BKjrJWPcMkZaWlNz473+X3iFO0SigZxRjRn8S6baituw3suNS4sbKGCLW0FHLo2NlAAnJ/ctz2ucAAP56b5MUSNJfSV+evnx4teAUHAD2M/cPr9gRZUV+PgDgQ/NgENVPBwXdtSQJySizurwcenktr734oseqVbzZs0fZjLozZ/Qqldfq1Zhef2X9es/Vqw3Tie47LUPn/nsoJyEhGTqKFgWO4QiddEGNIDq5vObPP31GJsblsKBTqeQtLQzTASbdDwW9SqUUCmkmd4nxQkJCQvKQIKuro4/6kIhjuKxWZmQ/0K6bo0VnTc3oN/xOdFV30UzJFx8SkgeBzqpOQ1QuEhKShwS9SqUQCMbkucJ22rSiL76oO3MG02rtpk93mjfv/tUydMhnqfsYywDLkZsp7Pm4J4VORjt5YEl7Ji3gvQBiw3qSEXPV+pwAACAASURBVOLsggV206bd4/dDKoMhb2k5M29e+GefXX/9dVMHh7vXGTLp771nExho9/fd4YZOwc6dFpMnW5HTGUhISEgA2kpKak+enLRp0yjrrTlco25VT3x1zLbAlRQVVR47FrR581gZ0BtpvvTWT7f83vIba0NISEiGSmtua8WBiuB3g8faEBISklEld/t2Sz8/6+AxuPZN7O1nfvrpg6Fl6JDzEG+zSbMJuX86BNNjxO5AFBqF2CtmGEHVKLEvAZVJpTIfZD8jsbTwYQDHcQzHcAzHcVzeINd0aADA1NWUac4ca9MGAMcYCOpI0U2k6aaNtS0Do8d1GMLHkHaE0jZgge6GeqVIjANw3FyNbW0HH1v0GrWsoaG7sRH+Oh9pLBbb1YXj4jrchgNC6fmnFIkVYjEAbmJnd1cL7wr6F6rWVpWkFQCMrG1YNtb30aBqAAecAMbx8IBTW3GqBCiS+7CDSUj+AVQqlUajUWnU+2swwVAmqrVANeY6BVXB5+uVKhqLacLj0YwGDoc9XODUDqBKgSbRdiqUfCWuxxlmDGOe8ahNC0CASQN7GmKHq41lLc16pZLKYrEdHenGYzBvCEfUOLUVp7TqNR3yJrleoaeyqKYupnSTMZjAaHjgPMQ+NPraSUjud9Z0rCGeylAVKmuQ6RQ6mhGN7cIexvnIxGMfjuC/mv86XDJHgcfrv/vrefVf3iXxv6oed3txmIwiIRk2nhYcJM5slbhV2doKAMY2NkY2NvfVU+GDBtn3t9mo3AgA99dbCgnJvYPjOJM5Hl3GA4KqJ0LnsrG2YjBwigwzG/6N0UjGAyiGajX/YC9dEhISkr4gQEEexhVdVBqVxWSNtRXjEcKPvI+5b6wNISG5/3iE/wgAUGBkB1UMwQDglMOpEdUyvDzV9RQAINgQYyLjAPCL2S/DYxMJyfBB+ujGIQ/j0y0JCQkJCQkJCQkJCQkJCQkJCQkJCck9QjqRSUhISEhISEhISEhISEhISEhISEhI7gjpRB4RcAy/su7KgD8dsjikU+gGr5izNefmVzf7/FS4q1CUIQKAxoTG8h/L76pdp9DtN96v7bq9Irv0u9LkVcl9JKQ8laLtvuOq7Y7yjsRliUecjhx1PZq8Krm7vnsQvXdl8LYPkcRliU2JTTBoi5oSm/Yb7z/AOXCAc+AA+8Bvnr8Vf148QvY82LSVtuV/kt8/X5wtPjH9xOjbc7/TXtZeuLuwf35rbuvp8NODVCzbVya4LvjJ5qc++bImWfrmdCJtGDoG1579bvZ+k56r46DZwZNTTzZfbP5nzXiI6azoLN1T2j8/aX5SW9EAUbMzXsoQZ4oToxMBQN4sz34je4iqW5Jaqg5W3Xutki9KWrNaiTSO4emb0v+1AYXbC8u/+9stqeyrsoIPCu5aEUOxX23vKewgYSE/mX/U8uivtr/+avPrSZ+T6c+la9o1925n6urUwu09V5msQXbU8mjjmUbiz+YLzSe8TzxIIfLTNqRpZWQ8lnFEW1HbhagLQxSCY3jas2n8FP7lRy8Pi1WjgKRAcjLs5NDlXNlwpeFCw/nF54cuquT7ElGmCAAKdhf8OvHXg1YHj/kdK/m+ZOiSSUhIRo2Omx0pcSljbcV4ZFhuNyQk45aLKy4SPp+hQLz8no0825rbOnSTrj53VXhDOPg7+105G3lWUiC5l5Jl+8rEWeKh6Bo6pBN5RBBliuzC7Ab8KfZ0LJV1x63qBqnYdrNN1aoCAHmzvLOy899pJ+gtQXBNgOmwAYvhGJ70SJJjlOOqm6tWV622Dra+9PilQcTelcHbPkRCt4XahNjAoC0CAMsAy43dGzd2b1zfvn72j7Pzd+ZL8u/pciXpTd2ZOrelbv3zzSeaz/p61ujbc7/TEN/guti1f76Zt9nML2cOUlGcJSZO+z7o5XpRVo/j2DB03FX75JcmE1fHU01PeT/jnfJMCqa/46VE0pvmC82OcY73WBhVo4CA+WTzkN0hAKBX6CXZ/34UIlQrWhTd1f/gI19HSYdaoibSkmyJdaj1vzagPy6PuHg87TGMAg0WmvuZPyl+8snWJxdcWUA1ol5adgnH7tXzazvTVpLT08+i6yKqMVWQKiD+lBZIbcNsEeTBibYmShPhugfHJ/4AwJnAmfbpUPeJbc1utZk+wIA/nuF6ciO+jhiiEL1aDwgM196AokyR7TTbisMVNX/UxByLWS9ZH3situS7krozdcMin4SEZBQwdTcN2hE01laMR4bldkNCMm6Z+sHUAV9+/xF3evX+F+jVegRBLP0sB39nH0bEWWKb0DF+GqSNrfrxjCRfkv5quqxeZu5rHvFthJmXWc7WHCqD2nC+QSVW2UfYR3wbweAwOio60jend1R2mPuYz9o7i+vJBYDGc42TN09uvtRcfaQa1aKtOa3mE82nfzLdMsAy+dHkJ+ufpJhQqn+pLtxVqJVpHaMdZ+6ZyeAwDBXLfyhXCBQX4i50VnXah9uHfxNe/Wt1S0pLa26rrEFW8nUJqkWZFkybaTblP5TrlXpJgYTrwZ31/SxLf0uDkDu1S5wjLtpVREiQNcg0HZpz0ediz8aeizrnttzt1rFbTDPmlPeneKzyUIqU8ma59zpvBpsBAIFvBbbdbNPJdXRTekN8Q+4Huep2NW8OL/ybcAabIcoQ3XjthqxBxvXiRh6INPcxLz9QXrSrSCfX2UfYR/0URTOm3antVCb1+OTjPut9Kg9WMi2YgW8HTlg5gbBWr9IfcTiyumq1kY1RytMp8ib50qtLMRQ74nBk+Y3lVzde9X3RN+/DvDmH5hR9WjRx48S6P+uIFi1MWkhj0dJfTeen8lmWrNDtoS4LXXr3A4VO4c3hsV3Z8ma59RTr/sdRKVRefe5qa24ry5w17X/TBvSZ3tdU/FyRvzNf2611inGa/c1sKpN61PvopI2TyvaXsSxYU96Z4vmYJ47huR/nVhyuAIBJ6yeFvB9C1G0vaw/5b8jJ8JPeT3oX7SnCtJj3097TP5reeavz+ivXH816dHhNRXW67E8+qTl7lkKlTnzyyeBXXsG02t/Cwyc9+WT50aNMM7PgV17xWLJE092d9u67LWlpRhYW0955xzUmxiCh+erVyuPHUZ1OnJ9v4eUVtnWrla/v8Bp5L2c1juEFnxRU/VwFAD5rfYLfDSbqdpR3BL8TfDbyrOcTnje/uolpMc81niEfhHTVdN147cby9OVKsTJ9c7ooU2RkbRT6cahLnAsAqNvVDC4DoSAAUPpdadm+MpoRLfDtQLflbsmrkhUtiqTlSY4xjsTQQWVQC3cXOs5zrDhYARh4rvEM/SiUqEto790WBofh8bhH1v9labu0LEvWXa93jhvnuO/xPgNI/z5hcBj924ihWMZrGfVn6wFg4rMTp74/dXiPy9Ap3F7INGc2Jzbzonk6uY5pwZz00iQin8Fh+L7qCwCdFZ224banA04vL14OAKgWPel1MvZSrEFI7v/lKgSKWT/NolApglSBfaS9rFaW+3bu/Ivzrz11TcFXXFl1xWeTT+WPlXq5vrOy0zrE2mudV9HOIm2H1u8tP481HpgOK/yosOFUA0JFPJ/xnPyfyYTTs7Oi0y7SrnRPKapBGeaMgC0BTReairYXaTo09rPtp30+jc6mVx+uLv2iVCfX2Ybbhv8QXvNrjTBVKM2XUhgUx/mOzQnNPi/4AEDtsdqSz0t0Mp1DlEPI7hAGm9GnIs2YJi2Q5r6dK6uXmU0ym/bFNOKWR9B4trFoR1HM+Zim+CZ1qzp4W3DS/CS3x9wqvq/AtJj74+6B7wUCwK0jt0q/KAUcvJ/1NvSwTqYTXROppWqvdV5MC2bVgSqGGSP001CrKVYAQFjYWXr766mJg8m0L6bFh8a3JLU4xTkVbi+sOVKD6TCrqVbhP4YzLZj9u8t2pm3x/4oxHUahU0TXRBOfn1h3vMdnJM2TOi1yQjXo2aln/d/2L9pRtLJyZcOphsLthZo2jamr6fQ9062mWBVuL0RVKP8yX9OmsZ1hO/3r6UxzZtL8JIe5DtU/VQMG7qvdg94PQihIZ1Vn9n+yu6q6uN7csK/COB6cpPlJPs/5FO0omrlvpsFlnzQ/KWRXiGWgJZGeunOqtktbfbBar9S3FbZxPDjTv5xuPtlcJVJlvJQhzZcyzBlTtk9xXuSMY3jJZyU1R2sAwOMpD/+3/AVXBPV/1NNMaEqBkmHO0HZqL8ZdnBc/z8jGaKQuDJJ/Qndtd/Zb2QuvLOwo68h4OaPrVhfTnBnwfwEeazySlyW7P+bu8YQHAJTsKeks74zYH1GwreDWkVuYHrOeah2xP4JpwQSA5gvNE1+YaJgE0F8UP4Vf82sNpsUkuZL/Z++846K4tgd+ZrYv7AJLWdousHSQpogdsWNXNGqMJiYxyUte2kteykt76THJS/LeS09M0UQTY1cU7KIoVXqHXWAXtrC07X3m98fsW1dANLHnN98Pfwyz9557zp2Ze+eeufdc7zjv9LfTeUk8S7/l/OPne0p6fMf6IigSviw88u7Im2a4plVz9smzK4tWWjSWkw+e7D7VjdLQ6DXRUz+ZWvFehUasmfndTABQlaiOrD6yXrK+bVdbySslJrXJS+Q1/cvp/Aw+AHQd6xLMFrhk9tX2nXro1EDzAJPHTH81PX5DvPSotOnHJsyGKYuVvATe5A8m+6X4mfvMpx4+pTyv9E/3Rylo5IrI2PWx5n4zw5uBoIiqRBU6O9Q/1R8AfOJ8Mt7IMPebb1q1kJCQXCN6ib7y5cpZh2fZtLayp8t6zvWgVFSwXJD6Vuqf6ZPwH8DV3dxqRUhIbgjlb5THb4wXzheKd4rLXisz9Zq4Iu60z6bxkng/C3/OKc3hhnMBIG9pXviS8MiVkacfOi0vkKM0NGpV1KSPJhHtw5DB7xBRAeMDRvT7tW5vvfDWBQCIWhvVtr1tTeMaAOg+0R0yM8Q1Zh+esf6Leo1Ek/VNFgCoSlXH7z6+tnVt67bW4Z5AgvPPnNd36Wf/MhtBkOF+A/fh/y2EnIk8MnaT/eiqoynPpqyTrotYFnFi/QlioWvDNw1zfp2zqnqVplUj3inG7NiRlUfiH45fL10fsSLi+HrnAkOD3OAZ4gkA7fvaY9bFrG1dyxVxqz++GDmhr7qv9LXSuTvn3t10N2bDyt8oH5KxdXtr5leZq2tX6zp1kt2SMY+OCZ0VOumDSclPJ6e+kBq1KmrcK+MAQHpYKlohurfr3ph1McfXHsccmLuQEeFn8F0SsjZnMXwYi48vZvPZBrnBMmi5R3xP1uaswqcKNWKNR7CHT4LPkZwj7fvarRorgiKzt82medI0bZozfz0ze/vstS1rcQwnnqXCJwuTnkpa37U+cHJg1QdVph5TyYsl8w/Ov7vlbnOvue3XttFtNyqNlgHL3a13Jz2VVPR8kSsxlUUNyAggZuyrL6gHWwbtZvtA3QDdi+4V5QUAjd82zt4+2z/dOSZ3t+j8s+cZ3ox72u6Z/s30U/efGjIZE7NhsiMyU4+JP4k/4nWs/KCSE8ZZ37k+492Mor8XwZ8LdZW6+KXiBXsX3Cu5F7Nhxa8VA4BBYbAMWO7ruC/1mdTCZwoBoGlLU2d+5+qK1SuLVrbuaJUckACArlPHCecQclp/a11TtWbp8aWV/6ocaB64QdrWb93aU1W1+sSJ5fv3t+3b156XBwDGnh7z4OC6srKUv/zl/OuvA8C5V19leHmtLy+f8fHHJ554wtTb6y5Ecvhw7MqV68vKuOHhVV98cX01vMq7uuWnFtkR2YqSFcvOLBPvFHfkdgCATqrzDHM+sOKd4pVlKxfmL6z5pGaw5aLLrPDJQk4EZ51kXeYXmQUPFRgUBgCQHpYS3mSb3mboNqyqWTX25bElL5agFHTujrncKG723mxX0yFcIASAjv0dK4pXLC9aLsuXtW5rHVK6C6vW2vBNA38Sn+nLvJrnHQCGNyCXa+WG2NhxoKPnQs+q6lXLzi6r+7xO06q5vpfmutD0VVPSM0lxD8eN+KtepvcQevhn+DusjsHGQQBQFao8IzxdDta6T+r66/qnfTsNpaAAID8mD5kbQvyEUtDpP03nirgzd8wkfhr39rhlF5YNNg1WvVc17/C8jA8zat6vAYCW71t6K3oXnVuUfSS7Y1eH7JDsYtHp/mP+NiZiRUTKiylasbbk6ZLMLZk5NTk4hldvqjarzRdeuzBr96ycmhxLr6V9V3vcQ3FBM4LS30kPnRcKAEaF0SPYo7+2v/LNyqxtWcurlmM2rPqdETLaTfaC9QUJTyasbFkpXCw8++BZVwgIVaHqwqsXZu6YOcRr2bm3c9HZRXP2z2n4rEHTqumv7q96q2r6T9MXFy/uLb/4hHYf7Z53ZN7sfbPrPqnTSrRLLywNzAxs/tYZoIPQcEi1oxQ0aHpQf02/ulQt+VWy8MzCnLochIKIt4tHrC6fZB+Uig7UDeA4rjyrjN0YCxhoWjSYA+ur7ONP5gOApd/SU9KTfSQbs2HFTxdP/nTyKvEq4WJh7b+cS93btrVN+WpKTl0OhU258IozpI/0oHRRwaIFpxZ0H+2W7JBgduz02tOxD8Te1XJX2LKwsw+eJZK1/NCS+WOm71jf0W+2rvwu4VLhXW13idaICjYUYA6s9uNazzDPlc0rx74xtvwf5QAg/kXcfax74ZmF84/N79jdITssA4CuvC5uFHfSZ5OmfDGF7k2fd3ge6UG+DSl/tVywSLCmfc3kzyaX/qMUx3HhImHXkS7iV1meLDwnvKekR7xDvLhw8cr6lQgFadvmfIMyKoweIR6jiAIA6QFp5N2RK+tXckScuv/UAUDJ8yWcKM5dTXfFPhjbfbT7plvspO7LOhzD7+24d3XFavFusbpCHbEsQpovJRYTtB9sj7wrEnNgpx85PePbGQ/0PCBaLrrwrvMR68zrFM4XukSdf+F8xNKIB3oemPHtjHPPnCMMl+yVxK6Lvbf9Xq9Ir8oPKwHg7FNnvaK97pXeO+aRMZ2HnbFrOg91hi8MBwDBHEHj5saSf5b01fXhOB61MirhgYSbWyUkJCTXgbYf23AMX3hh4ZwTc7pyuwZqbtRghISE5PYBs2FnHjuT+XXmffL7IpZGVGyqoDKpoXNCZfkyALDqrMrzyohlEfVf1+MYvrZt7YqyFZK9kt7KXhg2+B0uijg/xO830DRQ+kpp9v7snNIc5bmLgSKleVJhttBdtyEZw5eEy47IiLedztxO0UpRf23/iGNkAKj6sKqvpm/m1pkoBR3Rb+Aa/t9aSCfyyKiKVZ6hnqLlIpSCJj6aaO41a8VaAAieHswN59K59JCZIdZBq6pEhVCQqFVRCIrEPxivl+q17dq+6j7fJOcokenLDFsUhlLRsEVhFs3F6I3t+9tj1sX4xPtQWdT0V9Pb97UDgHvG0NmhHCGHyqbyJ/JHiVnMCefEPxiPUtHEvyTiGN5X3ecuBAC2hm51hgDmbi5+oXh0q9NfS6cwKPyJ/IhlEZ0HOwFg6amlgrmCmn/X/Bz+88E5B4nIquKd4oilET7xPhQGJfmpZEJ5pi9zoGHAprVN+mDSjO9nUD2oKA3tq+5DaeiSk0viHrjofBnRdtyBxz0QhyCIaLnIOniJvcFZwcrzSqPCSOfS/VL8eit7lcXKkJlOF0zCIwl+qX4odeidjDkwyW5JynMpKA0NSA8InBpIRM/pq+n7nvf997zvv/f9Pn95/qT3J7H57BGvI9OPqZfp9VK9aLlobeva0avujkOyVxJ3XxwvgUdlUSe8PkGyRwIAuANP2JiAIEjkikjLoAUAWra3pDyRwvRhegR6xG+IJ5JJ9klES0SEnJjVMTQ2zTvK2y/Fb8iFu57aHjo09oknGN7eHkFBSRs3SvLyAAB3OBLuuQdBENHChRatFnM4xLm5aY8/TqHRAtLSgiZM6Dx+SdRIpo9P+Lx5KJUaPm+eRXtN0b2Hc5V3dduOtjF/HcPwYbAD2TH3xnTs64BLF9REroqksqlekV6+Sb6ugObEB4/0V9NRGsqfyA+dEyrLkwFA96nu4KxgIg1RUMjMkFGaCwBIeiqJFcDyCPJI/lsysXTXvfT6L+uJp2Nr8NaaT2oyv8iEq3veiexDGpAR62S4jUxfpnXA2t/Q7ynw3KDc4D6z9fYhJDskeFYw1WPktTuyQzLBAgGCIqHZoYQzqCuvKzwnnPhVvF1c9U7V5E8nE8F8MAdmM9jcPzi7w0vl+ab60r3o/uP9RatFVDY1eHawUW7EHFjngc6kZ5IY3gx2EDvuL3HSg1JX0e4SOvd2ChYJvGO9KQxK/GPx0oNSKpuKUtH+mn6Uhs7Lmxd9b7R7+v7afp9EHwCQHpRG3h3pHetNZVFTXkwZMaO6VO0R4hG2JAyloLEPxVr6LDqJDgAG6gdOrz+d/FwyJ4IzxKLwnHAqm8oRcXwSfWxam/SQVHS3iJfEo7KoyS8mu5IJlwgZ3gxeEo8VyIq+LxpBkOCZwXqZ3l3D4TD8GCalyWeMz6LCRewgtl1vR+ko8QgMry6UggZMClCXqwdqB1gBLBafFTQjSHFaoWnUoHTUO8EbABxmR9praZ5hnoDC0tKl/Kl8h9mBoIjrsQpbEuY31o/Koqa9mkZcAgBI+GsC05/JDmInPpEoPSDtLetFKEj4inAERaLvizbIDLoOHQDEPBjDS+YN762G4BnmGbMhBqWihJt7oGaA6cvUy/QGmSFsSVhObQ4AdOzqiHskjuHNYPFZkfdESnOlAMAKYsU/Gs/0ZY4un+TWMvXLqWOeGgMAOIbb9XYcw4ULhIrTCofVYVKZtG3a4FnBvCTeknNL2EFsm96G0py3dH9tv88Yn9FFAQCDxxAsEKBUVDBfYNVYMTsmzZWmvJCC0lBBtsA37QrfMG4cYx4ZM+enOTRPmlVrpbKoVo2Vl8Cje9GJcIQdBzuiV0cjKLK2YW3I9BDnc6exAtFm6m0ML4ZL1KzvZ6U9lwYAOIbb9DbCcKYvM3xJOEpFwxeHWzQWzI61728f/+p4Co0Svijcf5xzqkHXia6QGSEAELkicsGBBVqJ9uD8g1sEW0peK7Hpb9SmHSQkJDeOyHsjJ3wxgepBteltFCbFrrPfao1ISEhuPCisrlkdnBlsN9sRFLFpbAAQviSccPh0He0KmhbE9GUmPJQwc8tMmifNprVRmVTivWJoLIuRRMEwv59ktyT6nmjvGG86h578lHMI4xzWeV0yrBuS0SfBh86l95T3AEBnbmfUqqjLjZFbfmope70s8+tMKpMKl/EbuA//byFkOIuRMalMHgLndA8EQTwFnkaFEQCIeBEAgFAQADDIDKYe067xzj1DPEI8rIPWzkOdkXc5lwr6JvsSc+aJ9C6MKqNfih9x7Cn0NKlMOI53HOxwz+gsaNTJ6p7Ci19ROBEcg9zQV9XnEgIA93bd67qt6z6vk5+RX04UgiIeoU6TueFcg9wAADRPWupzqanPpVo11qYfm3Kzc1fXrtZ36WV5MpfVDB4Dx/HJH00u/Wfp9tjtvETehHcmBE0Lyvwqs/pf1WcePRM6O3Tyx5M9Qz1HsR2loz5xPsMrCgBCZoQUPV8UODkwICOA6ctUFav6avqE85wffFxih2BSmTA7lr8s33WGiO7qm+ybU5RD/Cv+TVz4VGH40vARr2Pio4lGhXH/jP10L3ry08kJD/2ppqgYlUa/VOdV4IRxjEojcRV48TwAIOZLAoBOpit9o/TC+87ZQMTCUmWxMvlJZ9PpupTDL9x1xNTT4xni/GzACQkxKpUAgNLpPtHRAICiKJEGs9sPr1/vyoXZL3mP9E1MJB5GIv315Srvar1Mf+HtC1X/qiL+JSI69ZT0jPmrM/7MkBaGwKQ20b3oNE+aS75BYbAb7SgVpTAoDouDyqYSE/OvuLaFI3T6+LgRXKPcOKT0xEcTJ30wCQCsWmv56+WFTxYuOrLoap73gIyA4Q2IzWAbXifDbQyaFhS7Ibbg4QLroDVqTdSE9yZQ6Dcqcvofxn3230X+F3K2t6w37pE4ABAsENR9Upf4VGJXftfcw85oKsozyuBZwU3fNo1/bzwA9JwfLaqpywOIUBDi2HVNzT1mdijbqY/Aw6Q0uRftwtBl6D7WnTvVuf0Uw4dBYVMmfTqp/t/1xU8VB80MGr9pvLs5skMywt9t7jH7JPm45Jt7zMMzuuuAIIhHqFMNWa4s4q6I5u+aI++JHHITumQSl9vcY3Y5wjwFF1vvi4ajCNOPCW6PgEvD4Vh6LaxAFmbDLrx8oae0hxPBsevto1QXERbZYXYETg8EgKAZQe072ykMSsCkAGfjQEOJ2bsIirT+1Nqxu4Phw2D6X3TLul4MPEI9HBYH4d1znfQM9zQqjIYug7nH7LoE7GA28T468l3k4n+3k0saAHiGeRoVxtiHY41KY352Pt2LnvDXhJgHYgxdhpr3a+r/XU8k8x3ne2X5JLcHPcU9df+uw+yYb5ovIAAA7GA2N4rbc75H16ETLhRS6BSryVr2Upm6RM0RcVyeTWmuNGJFxOiiAICXxHN/7TT3mOkcOs3D2X2wg9k3yc5h6Lv1558/r5Pq/JL8XCcjlkZ0HO5g+DAcFkdAegCO443fNbb+1sr0YbL4znn0irOKoKlB7qIU5xSVH1ZidixgXIDLcL8UP3fDjSojnXvRcOJd0Wa0IVSEwnB2MUGTg4ImBwGAskhZ9GKRQW6YuXnmjawDEhKS649JYap+s9rYZSQ+BpOQkPx/AEGRph+axDvFDB+Ga+GdMFtY+EShTW/rONhBBEc1dBuK/1Gsl+p5STxXXvfB7+VEwXC/n9zgGti6XrmVhcrAKUO3Ihs+nCe820wfpsPi8B/n3/h944hjZPlpuWCuoP7L+sn/mgwj+Q1cw/9rqbrrAulEHhkWn2XoMhDHOI4bug3sQDYM89GwAljsQPbKspXEvz1lPbwxvKp/VXnH/q8bu4y3is1n//lK+AAAIABJREFU67v0xLFepmcFsBAEGWgccGW8ykAnxEQt1zGbz25rbLtY+u8Bx3BDt4F4z9bJdF4ir/b97c1bmrP3ZAMA3Yue/FSyNE+qOKNgBbDCFoZN/XQqANgMNk2LBsdwh9WRvTvbbrY3fddU+HThkhNLeAm8ZWeXmXvNRS8UVf+r2hVrfETbR7HXP91fK9Z2n+zmT+Az/ZiN3zX21/RPfHeis6Iu47sk3BALDixgB7EBYKBpgOXHct9/E6Wi0Wuji/9RrBVrR7yOmjbNxE0Tp/53quKs4ujqo+GLwglRfw7YgRevgk6qY/FHvgpsPjvpsaTo1dEAYJAb7Ca7SW1i+jFd4cZuTkQeVkCAQS7nxcQAgE4uZ/P5AIBc6gtm+voCwMJt2zz4fAAYaG0lzrhAboDv2MVV3tWsAFbiXxKJzzwGhcFhcpjUJqbvFeqT5c+yaqw2g40YD+tl+qCpQbJjstDZoaPkGhFXi6GX6ll81pDSXdC59PiN8QdmHyB0vuLznnM+Z3gDYjPYhtfJcG0N3YbYe2PTXkgbbB48cd+JztxOUY7oKs25abjr7NrJbaBugD+Fb+41M3wZhGmBmYHnHjknPy73EHi4PKQTP5nICmIdyjwU+2AsN4rbldeV8MQf+SLFDGAau41E827oMrD4LPeiLybzZ4Zmh074aAIA2A12bZvWprV5x3nPPz7f3Ge+8MqF+v/UZ3yQ4UqvadZ4xXg55cuNxElDl4EZwByeUbBQYOx2psFx3Cg3Eo6exCcTE59OzJ2aK/lVErn2knCrQztNPssgc/athm7D1Rju0nAIOIYrzijGvTmu8YtGm862uHAxhUmperfqctUFAPwp/ObNzdZBa+zGWAAInB5Y8rcSGpdGxLIAtw5FdVYl3ibOPprNCmApChQ1H9S4aoY4MCqMKA2lcWjuJw0yAyuAxQxgsgJZiwoXESd7L/QSI9sReyvidsJsmKZZM6QIoopYfJapxzTurXETPpqgOqcqWF8gWCBg+jNjN8YSvnWjwugwO3Ttuhv6JY/kuuAwO84+cnbu/rkBEwIwGybeJibOExEttBJtwqMJANDweYNNZ1tyfgmFSal8p5JIM+RBuJyoIa+dDD+GVWu1G+1UNhUAiK8pt4SzT54Nmx+W+vdUBEH2zdhHnIxYGnHm8TMMLoMIo999urtpS1NOYQ6bz+462VX+VjkAtB9sT3v24vZZdrP9xIYTS44uCZwU6LA5mrY0OX+41HCWP8uisdiMNhqbBgDExAjZEZlgrnPpxo6xO2Z8MyMgPQAAAicFTnhrwskHT97YKiAhIbkBVL5cGTgrMPaxWARBTi8/favVISEhuRnIC+TNW5uXFixl89ndp7or3qkAALoXnT+RLzsik5+RE0PXc387J8wWJj+TjCDIwdkHAWD44HdEUTBsCOM+2CdmlwJAZ25n8jPJcCnDB+bhS8ILnyqkc+mRqyLhMn4DAJj62VSPYI/dGbsTH0n0ivYa7jdwH/7fWshwFiPDn8jXS/WdhzpxHG/4poHhw+BGckdMZtVaOw93Yg6s6fumkxtO6qS6EVMOIXxxeMvPLZo2jcPiuPD2hfCl4VqJ9ooZHRaH88DqPNC165q3NOMY3vhdI27D6V70qyndXYL7ccU7FZgNU19Qt+9pD1sUFjQlSH1B3fR9k1VrdVgcsiOy/rr+wKmBEUsiOnI7NGKNzWAr+ntR/df1CIIcWnBIdkRGYVCYfkyH0aGVaPdl7jMqjDQOjc6l200X54QOt31EDS0DFlWJCgBQKhowMaB1e2vAhAD+BL68QE71oI7uz3VYHRQ6RZgtrP2sFnNg6gr1gRkHRlzmz/Rl2gy24dcRoSIlr5RUvl+JoAg7kA04OKwOl0qugzsX0VJR05amwdZBh8VR+kZp5PKRt9kRLRfVfVNn1VkNSkPu4lzFeUX7wfaIxVfeY1Dboe1v6Hc/uCZt58+v/Pxzq15v7Omp3bw5Yv784WkodHrYrFk1mzdjDoe6pmbv0qVWrRbHMGVZmc0wsq9KJ5P1t7S4H/xhrvKujlgW0bi50aqzGpXG/OX5yiJl56FO4ULhiIldoDRUMEdQ8W4F5sB6ynq6jnYJsgWyfJlgnmCUXK7mwv249tNac5/Z1GOq/qQ6YknEKKUz/Zh2gx3H8at53oksQxqQq6wTyS7JiXtPOCwOVgCLQqPYjfbb+UGjedIUJxUOs0Mr1qrOqwCgK78rNNvZnVMYlKAZQeUvlbvPnKWwKJxwTsz9MRVvVACAUWkc3ny5N8iXQ7hIWP/vepvOZlKZmr5qEiwSuBftEiJcJJQdlukkOrvBXvaPsubNzTqJLm9OnklponnSaBya3ehsjR0Wh65dxxE5J6cLFwrFv4i1Yq3D4qh5v0awUDA8o3+Gv6HLIMuT4Tje8l0L3ZtOZKewKCgVHffmuKp3quyG0VaSChYJxL+IBxsHHVYHEet5dNw1dMfUYyp9rpTKpoZmh9p0NmYAE2WgAw0Dkl8lmA0bsboAwCfZxzpo7SnuIbzGTF8mJ4ojPSB1OZFd2HQ2ovMyKozExoDEeel+aX9tv8PqqHqrSrBQQLzzNX7ZaOm3mNXm+k/rBYsE/uP9rVprV34X5sBat7YWPlyIUC95m9RL9YPNgwBA86R15XXhON6xt8M14VTfoW/b1oZjeMuPLZgN4yXzKl+vrPu4DkERFp9FdEbCxcLWH1sJ606tOaUuUQ+vIvcWgOQ2wW62Aw7sILbNYKt+vxrHcOLWEiwQSHOlgw2D/Gl8ALDpbKwAFspAB+qdt7SuXTckVszlRA2BQqeEzAqp+VcN5sC6j3f3VfUBAjiG9xT3EIEgiIObYLtVa/UUeOIY3n6gXVmkJLTlT+Cb1KaG7xqiVkUBgE1ro3FodC+6QW6o/nc10aYZ5ZeERHeYHDiOE4aXv10+iuHCecKK9yowByY9IlVXqAGBzrzOsGxnJEHRMtG5v58baBzAHJhBbqj9spYYmF3ftxcSEpIbjU1nYwezAQP5EXlveS/RIAzWD5oUJveD/4dYBi3qUrX7AQnJnwabzkbn0uledIPCUPvfWtdIKmxxWNnrZYETA+kcOgBYdVaPUA8cwztyO1TFKsyKDR/8Xk7UEMIXh7dua9W2a+1Ge93ndcRCKIPC4BF05YWAARkB5h5z0/dNxPzoy42RqSwqN4Kb8FBCycslMJLfwH34r+vUDTQOuB/cTEgn8shQWdTZv86ueLfiJ8FPkt2SWT/PGnGuH5VNnfvb3Ip3Kn4S/NS8pXnO9jmduZ2XxFi5DH5pfumvpectzfsl7heEgox/Y3zHwY7RM4bMDCn+R3Hn4U5+Bl+WLyt7owwAAiYEyI7Jfg7/uen7ptnbZ0vzpFdTursE4Xzhvqn7jCojhUHxCPH4Nf7XE+tOTP5osnesN9OPmb03W7JXsj16+/bo7dWfVM/ZMYcbwfVL8xv/xvj8pfm/xP5iGbRMfG8igiKZX2Se+9u5rSFba/5dM33zdP+x/gkPJ+yeuHtb5DatRJv+evooto+opKpYlbc4z2l7VgiFSfGK9KJ70TlhnNEDwbgsmvrp1MHmwZ/Dfz5578mpn07likZwr3MjuO372odfRwRBMt7M6D7VvSV4S96SvIx3MjhhHJdK7rrdofiP9Z/w5oSDCw9uFW1FKMjEtyeOmCzpr0n+af7bE7f/Nu434Xxh7LrY7lPdIVkhV5Rf+2Vt0T+K3A+uhcQNG3wTEn7NytqzaFH0smWiBQtGTJa5adNgW9vW1NRjjz2WuWmTV3i43Wzet3z5oFg8Yvq6LVtK3n3X/eAPc5V3deJfEn1TfXem7twzaY9wnjB6bbS8QB48/cqBjaZ+OnWwaXBbxLaCRwqyvs1i89l2k/1ycXUBgBPBoTKpufNywa3pAIDQ2aEHZh7YnbE7ZGZIzH0xo5TOCmBRGBTpYenVPO8AMLwBuco6iXswjuHN2CbatjNtp99Yv6g1UbfzgyZaI6J6UPek7Dm25BjhKVaeVfKnXnRBChYK9J164ZKhrvkxz4xRl6hbf2z1TRkak9QzzJPCoBxbcmz0omM3xvqM8Tkw8UDenLzwleHCxUL3ov3H+8uPyaveqeKl8NJeTTux6sSelD1WjXXsW2N903xjHojJnZ67O3G3rl2X+nIqAARlBV147ULdx3WukMq8FF7qS6knV53cm7oXoSCpr6YOz0hlUTO3ZNZ+WLszemfn/s5p309z7xlD5oZ4xXo1fN4wihW8JF7qK6mn7j71W8RvOI4zfBmjJAYA2eFLgj4P1A38EvLL9uDthzIPWbXW2XtnIygS90hcf3X/7sTdFa9WJP09SbJD0lfZN7y6AIAIi8wbwyNmEBP1QGFSXDE3XATPCeZGcvck7zm15pRotcjcY27+rhkABIsEpc+W7kncY9Va09919mvBM4OPzD+SOy03KCso8p5IKpua9XNWzYc1u6J3iX8WZ/6YOWS2eMt3LZVvVALAmGfHqApVO6N3tmxucV1Kv/F+8hPyXXG72ra2Tf9xOkpD015LU55R/ib67eRdJ9NeT/MUesZujPVJ9jkw8cChrEPBs4MjVg/9sBcyNyRvdt6Q7WRJbjkMb0bKiymHZhzKnZ5L96KHzA05//h5APCO9aawKIL5AiKWVNxf4vqq+nbF7yp/tTzp70mSXyWN3zQKFgquRtRwJnw0oa+yb1f8ro49HQETA+hedLvJnj8/X9umdR3cBNsnvjOx+JXibTHbOg93pj2fVvB4AebAEAQJXxROoVN8E30BQDhf6B3j/ZPop0NLDsWsizGqjEUvFfmP9b/EcB/G+FfH7560e2fGToYXI2xB2KmNp0YsMfPTzJ7ynq1hW9t+awuaEkTzpLn3m+mvpIfOCj209NB3vO/2z93PCeNM+WgKANR9VVf8crH7AQkJye1M0ktJde/VHZ54WHFcEfd4XMWLFbgDv/DcBdkBGQC4Dv4foi5RH1txzP2AhORPg2CewCvK65eYX/KX50evjTapTA3fNABA2KIwrURLTPgFgIw3M8peK/s1/ldpnjTl7ymFTxbKTw8d/F5O1BD80vzS/pGWOyd377S9gVMC6d50dYXaP81/eMrhIAgStjCMwqDwEnlwJb9B6vOpqmKV/Ix8iN8gclWk+2tMw9cNpa+Uuh/cTMjFjxfZaNwIAMidUyeyY7K6z+vm7xthVubvxWFxbAna8kD/A9cuiuS2BcdxBuMKLpvbB4c5HgaX3WotRgNHdZj3x7dai9/B/qz9kz6cRARivr78+RoQB+awWm7URpEkdyiVb1XSufTEpxLdT+bPy09/N91vnN/lcv0u5CflTV81zfyNDMz6pwABFHHO1eir6it+pnjhyYU3X4uKNyqCZwYHTgu09Fv2jt275PySGx0ZmUKlMBnOSOLqCnXBXwtWFq28oSWOSPHLxYI5gpCsEHOfeVv8ttWVqz1DRt5F46ZBBD38ivHVrVWDhOROJKc7BwDQ/02AG6gZqHixYtbhWde3FAzBAGBP8J7rK/aGsl6zHgAQzOnB+GPdDY7gAPCT90/XXT0SkmtkiI/uyIoj8RvjhfOvsJD3utNT3iPZJRn/5ngKnVL2epml3zL1v1Nvsg63D2RMZBISEhISEhISEpIbhaZF49oc9SYTPCu44bOG8lfKcRxPfzf9Ju+tN9A0QCwpvfkI5gqq/119/vnzgMOUf0255R5kEhKS64i2VUv1JP0YI3ALuxsSkhuN3WjXy/SuBYU3E99kX8kuyaHsQzaDjSPkTPt82s3X4faBbHzvYHyTfFOfTb0uolAamrU567qIIiEhuT1Jfy19xKAu1w7ZgJD8fyA8JxylDQ0ClvJSypBgtdeCT6LPkJnOJH8Cei/0tvzQkvz80K1Xbg6BUwMDpw7dOvzmoCpTNXzbMO7lcbek9JDpISHTrxx9i4SE5I6jv7K//ef2+L/F32pFbjtubXdDQnKjKXy60D/dP3DyLXirodApEzeNHP/z/yF3TOiGm8AjlkfuoFgWmB0j9kdCqSix6fa14Np0bpQoqyR3OgiCIAiCondAJHSHg2YzedlM3g7bTZ0z9XvAcIoaKGqg9N1qTa4Km8GG23EAoHpQUer1vAdwHLfpnPsy/TkaEBzHcRzHMIxYekxCAgAOi4PYrofCoKB05xNkN9pxBw4AVDYVoVzr+wNux4luHaEi196tk9xaiN4WRVHMgumlervBTmFSPMM8aR5/9gliCFApVCqViltxbYeWMJwbziVnxrk6lK+ZX99aTUj+3KysrHQeIXfMqPZqwOnNOKMeqF0Oa59BZnAYHBQWhS1gX8fuEgccEMAB3xe673rJdOeexkZijwTkul4anF6P0epxqsxm7v9j3Q0OztZpB3/HdVSMhOS6sLZ3LeGjM8gNRoURADyCPYbvUk5yMyFHKRehUqhwvZv1GwgV6Mzr5q+h8sg74c8PDrgrPuNtDpVqt1CkWmv1rVZkVOwA9lutw9WDANAAAOxWO1z3YL//az8IFxgJyZ8QFIAJAOAAh8P2v42baf97rDA7YNejFBYAAA64zWa7HuJIbiVUGpVBYVCYFK8YL9fJP/+nKRwciIOO0oEJPnEXt6z88xtOQnJbcaeMZ68axBqL42ycU4syUE7UxQVA17dtwa5PX35ZcBy/7rN5EGsi7rBbGJVAAXaE07OGA261/o7XfZcfmYTkdsNkMgEAAgjqg3r6eLqfJLlV3BkeJRISEhISEhISEhISEhISEhISEhISklsC6UQmISEhISEhISEhISEhISEhISEhISG5LKQT+YaAY/jRdUdH/OlLjy9thssuUyUyFr1UVPlx5ZCfyt8tlxfKAaD9YHvtl7VXLN1msH1G+cyisbjOV/+3+vCKw0Mk5K/JdwVEHk5ffd+BhQc2B2z+Lui7wysOaySaUcq9IqPbfkMpfq24/N1yAPhtwm+f0z7/gvHFF4wvvuJ8tXfW3sHWwVui0h1NX10fUZ9DUJYod2TcmnBa2mZt82fNw88XLCsYqBkYchLH8LIny/or+08tOgUAiuMKyVbJHy5a/KO4r7zv9wpp/rS5r6zPXZ8/rMBwG1u+aKl7p+6KGXsKewrXFl5NEUT11r1TV/NGjfv53KRcTYMG3Mwxdhkr/zG0+XJHcUxxauGp3DG5+RPyq/9ZbTfdkAgYiqOKk/NP/oGMDotjf/T+667PiLjfAyQkJH9i+qr68mbnXaMQHMMLHymUn5SfXPVHGrdbgrpCvWfKnmuXc+qhU52HOw8vOXztouq+rFMWKQGg8sPKXxJ++SHghx3JO+q+vHKPSUJyJ3Ly3nsHGhqumKz4+edtev2IPzVu3rx/2rTSl14qefHF/dOmNW7efL11/CMM1AwQ7/B3Ln11dYdXrLjuYgdqBk4uvGP6CBKS38v5+88rTiiuUYimSdP0adPppaf7K/uvXaXyZ8p7S3qv8bk7vfT0cJfFiBCeh2sp69ohncg3BMU5RdCUoBF/Wpy7mMKk/IGM6mq1UWUEAJ1M19842u0+ihACdwldp7ouhne8FBzDcxfnCmYL1jWv29CxIWBcAOGD/sOMbvtNY/6u+Y9ZHnvM8tj65vUewR5nnzl7qzW68xDvFYuWiYaf58Xzsj7LuunqAADI8+VBc0e77d3pK+/zTfflRHFS3k4BAFO3Sdem+8NF91/o543l/V4hgw2DZrXZXZ8/rMBwQpeEhq8Nv44Cr1i9LnPsRnt/+WUbKF2bruLZivi/xy+oWDAjf4ZJYWrYdOWxzZ8V93uAhITkTww3kjv+g/HXKERdovbP8L8u+tw0vKK9pv576jUKsZvtCCAo7fqMWVTFKv4EftOPTeKd4jnb52xQbZi7c27d53Xt+9uvi3wSkjuRnrIyzH7Zj/rR99yT8e67EzZtilqz5mZqNQqeIk/iHf7OhRsenvHPf153sZ4iz9R3Uq+7WBKS24SE5xJ4abxrFCI/Ig+eF3xd9HGYHQiCeCV43bTnrq+8jzf2WmvgGiG3U7ssqjJVweMFGrHGN8l3xlczfGJ9il4qQulo+4F2o9IYMj1kxtcz6Fx6f0P/qUdPDTQM+CT4zPx2pk+MDwBI9ktSn06VHpE2/NCA2TBlkZKXyJvy4RT/VP9Dyw49IH8A9UAbtzSWv1Nu1VqFc4XTP5tO59JdGWu/qDV0G/bN2TfQNBA8LXjGVzOatjbJjspUJSpth7bqkyrMgjF5zKBJQTVf1tgN9p7yHu8Y75nfzPRL8XMJuZxdymJl+bvlhARtu9YyYNmTuWdJ3pJdU3dFrYhq/rmZ4cOY8MaEmLtjDAqDTqpL3JhI59ABYNyL49TVaqveSveki/eKi18pNveZQ2eFzvhqBp1DlxfKCx4v0LZrfeJ8Zv84mxfPq/u6rvzdcqvOGpIVMvfnuTQ27XK2UxiUn2J+Snwose6bOiaPmf5SevSqaJfCBoXh+P3HVSUqBo8x9cOpkTmROIaXvV3W8H0DACQ8mJDxasaIVW1QGk5uPKkqUfkm+3KEHO9o7yFV4RHsIVoiKn27FIipoJfKBIAhJijOKkas8DuUxh8by94ps2qtwnnCrM+yKAzK1uit7lchZnUMjuGlb5US1ZL4YGLGaxlE3v76ft6rvJ2Td8aui638uBKzYnH3xU16a9Jg6+Dpx0+vLl19fVWt31RP96Erjir4M/l2nZ3Oo0c/HE2cp3FpMY/FAIC2Wes/2T9/Un52UTYAYFbsUNqhrANZLiHVr1Wb5KYJX09AKIjiiCJqY5S+XV/9SnXKmynNnzZjVozuTeeN44l/ENv1dl2LjjeOF7EuouFfDdZBa9xTceFrwjEbVr+pvmt/F0JFwteGxz4RiyCIddBK49IGqgZcQuKejmv6T1Pnjk4ACF8THvd0HAC0/9ze/Gmz3WD3m+iX/ml656+dPWd6BioHUDoaNDuI0GdE+UMyUlnUgeqBqperDJ0Gbhw3bVMaJ5Iz3Mbuw90WtWXMy2MKlhUIcgRt37RhNky4UpjwXAJmw2rfru060MXgMYKznd1nwbICv8l+0p1SABjz8hh1oVpVoPKK90r/bzrdm05Ub9xTcZe7QOIfxIQ5CBWpe7vOpDCdv+985AORki0Sh8kxUDPgGeE59oOxXgleg7WDbCE7cEYgADDojIS/J3Rs7wAAHMOHVJqqQCXbI6OwKWal2WFxCJYLwu4KA4CWL1o0jZrxn46X58vrP6i3DlgDpgakvpdK86QVLCsQ3S9q+LAh/d/p7jePTW9TF6otfZaI9RF0H7pki4TuRU95O4WXxitYVhAwPaB9WztgILxLmPhC4si336W3XOSDkUenHQ1ZECLbI6N50eKfjRcsE+AOvOqVKnmeHAAi1kckPJsw3CiHxXEs81jc03ENHzbEPhHrfg/8geeChITkTkEr1pY9Xzb/+PyB+oGiJ4u0rVq6Nz35heSoe6KOLz8esSoi8u5IAKj7d91gw+DUb6ZWvlXZtrUNs2F+6X5Tv5nK4DEAQHZYFvdonKbJuSZsuCj5Sbl4mxizYupytXec99g3x/KSeJZ+S9GTReoStW+aL0JBhEuFkWsib5rhmlZN4dOFOedyLBrL6Y2nu093ozQ0anXUlI+nVG6q1Eg0M76dAQCqEtXRu4+ua1sn3iUufbXU1GviiriZn2fyM/gA0HW8K2RWiEtmX23f6UdODzYPMnnMca+Mi7svTnZM1ryl2WF1qEpUPvE+k96f5JfiZ+4zn37ktKpI5T/OH6EgohxR7PpYc7+Z7kVHUERVogqdFeqX6gcAPrE+418fb+4nP+mR/DlRFReXvvyydXBQuGBB0t/+1vTdd1atNvW55wCg48CB7pMnaZ6eNq329P33T9+82To4WPH221qJhCsSjXv9dU5Y2K1Wf2T0En31K9UzcmfYtLYLz1xQn1ejVDR0WWjyG8nIHbKpoLajo/SNNxbs3m3V6c6/8IKyuBih0SIWLRr/yivXYoJeoq96uWrmoZnXUVUSktuHhg8bItZFBM0Kku2X1b9fb+mzeIZ5pr2f5hXvdSj10KyjszyEHgBwbt254PnBoYtDy/9W7mofUt5MIR4ubbM2/ql4l8whonhpvLpNdSgNVRxVmNVm/0n+aZvSaByadLe04aMGABDmCKV7pNnnswGg50xPwLQAfbvzuRueUfyDWN+hT/84HQD6K/qLHy6eXzpfukva9N8mu94eMD0g9e1UGofmUqbq1SqT3DTxm4mAQNN/mjp+7QCA8LvD45+OBwDC84Cgt7iVI2cij4zdZD+cc3jsc2MfVD0YmROZvyaf2Pu19svaBbsXrGtaN9Ay0PJrC2bHcpfmJj2a9KDqwei7oo+sOUJkN3QbPEM9AUC8Rxy3Pm6DdINXpFfFBxUu+eoqddE/ihbuW3hf+32YDSt+tXhIxqafmmZunrmueZ2uU9e6szX58WTBXMHUj6aOfXZs+kvp0XdHT3h9AgB0HOyIuitqo3pj3L1xeXflYQ7MXciIBE4MdEmYs2UOw4eRcyaHzWcbug2WAcv9XffP/nH26cdOD7YNeoZ48hJ5uYtz23a3WTQWBEXm75hP96QPtg6eeuTU/J3zN3RuAAxK/lkCAKcfO532bNpG9cagKUHl75Ybe4yFfy9ckr9kQ+cGk9rUsr1ldNsNCoO537yhc0Pas2ln/3bJ1ODyd8u54dwHlQ9OeX8K8VPjlsbOvM41lWvuKr6r9ddWyX7JiFV9+tHTnDDO/V33T3h9QuuO1uFVoe/WN29vFi0RjShzRBNGrPA7EXWV+vw/zi/av2hDxwbMhhW9WgQABoXBMmC5X3q/6yo0/tjYmdd5d9Xdq0pWtfzaQlS1tlPLCXc6Llt3tK6tWbv85PKKDysGmq9qCcYfo+27ttgnYiPvH3noa+wysgVs3jgeZsW0zVoAUBepPcI8XA7W5s+bNfWa8Z+NRygIAJiUJlYQi/iJN5YX+0Rs6LLQ+GfiAUB1UpX0WtKcs3O0LdqGjxq3AcU8AAAgAElEQVQy92Smvp3a9EkTAEh+kgxUDcw6Pmv6vuld+7sU+QoAUBxXBM4OdBfSubNTdUo1M39m1oEs2QGZ4qjC0mupfat2ys9T5hXPs/RbuvZ2Rd4fGZAZkPRaEuE9JPQZLn94RofZUbyxOObRmIVVC0Pmh5Q+VuralnqIjS66DnTNPDZz6o6prV+36sQ6yRbJQOXA7BOzp2yb0p3b7Uqma9Vll2RH/yW6/MnygOkBc8/OtRvshEuUqN5Rro7LnOC5wRM3T/QM95y8ZTIAKI8rQxaFLKxeKFwpLHmkBHfgfhP9tM3aC89e6C3uxawYN4ab/HoyAAyvNABQHFNwIjljPxobPC9YeUJJlKU4qghdEqpv11e+UDnhqwnZxdk4hjd+1Ej82v5T+4SvJvik+rirpzqpmr5v+tRfp7Z81mJoN8w9O9d/ir/kR2fsEXmefFb+rBl5M5QnlNLd0lHMdMesNNs0tuyy7HGfjKt6uUrfoZfnyweqB+acnpN1MEv8vVgn0Y1olKXf0lfeN33f9CH3AAkJyf8HKl6rECwUrBKvmvTppPKXynEcFywUdB9xNsVdeV1hy8PUpWrJr5KFZxbm1OUgFES8XUz8alQYPYI9RhEFANKDUtEaUU5tDieCU//fegAofaGUG8ld0bAi5oGY7qPdwzS6SdR/VY9j+DrJurvK75LskfRW9IYvDZfmS3EMB4CO3I7IlZGYAyt4tCDr26wNyg2iZaKK95yvzdI8qXC+0CWq+MXiiCURG5Qbsr7JOv/secJwyV5JzLqYdeJ1XpFeVR9VAUDh3wq9o73XdaxLfCRRmuds2zsPdYYtDAMAwRxB43eNpa+X9tX14TgeuTIy/v54ICH5M9J15EjWd9/N3rFDVVzcvmdPUGam8qxzqNV98mTIzJkZb79N43KzfviB7uV17qmnRKtWLT51KnTu3OLnn7+1ml8Nkq0SHMOzS7NnHpvZfah7sPbOi1LYvG0bjuMrzpxZfOBAZ35+fx0ZXYeE5ApgNqzi+YpxH41bXLc4eEFw03+aKEwKP4uvPKkEAJve1lvWG7wgWLxFjOP4/LL5s47N6j7UPVgzCADGLqNHqMcooojzkq2Sid9OnFswVyfWde3v0rZq696rm/LTlFlHZ/WW9rqyK04qAmcGuus2JGPwvGDVSRXxtiM/Kg9dEqpp1NRtqpv0/aTs4mzcjjd8eHFVbvNnzZoGTcbnGQgF6dzZqTypnHVk1oyDM7r2d8mPyAFAcUwRNOfWjxxJJ/LIKM4rPAWeUSujUAqa/HiyudesadMAQOiMUG4El86lC2YLLIMWZZESpaAxa2IQFEl8OFHXqdNINOoqtW+Kc2U605cZsTQCpaIRSyLcwxOL94jj7ovjJfCoLGrGGxniPWIAcM8onCvkhnFpbFrgpECr5rIxi7kR3DEPj0GpaPJfk3EM763sdRcCAJv9NxPxf79gfFH47BWCn054cwKFQQmaHBSZE0ks61t5bqUwW1j1cdX3Qd/vydpDBGVu3dEauTySl8CjMCipz6QSyrP8WH11fVatddrH0+b+NJfmQUNpaG9VL0pDV55dmbjx4vy+EW3HHXjiQ4kIgkSuiLQMWty1YvmxdFKdtlMbtTJqQ+cGAGjZ3pLyZArTh+kR6BF/fzwhYUhVO6yOzrzOye9NpjAowdOCwxeHuwTmr87/0uPLLz2+/FH4o0asSX8pfUSZI5owvMJHr9LbFvEecfyGeOIqTHhjgnj3JVchamUUcRWatze7qiXh/gSiqiV7JaKlzlgWMWtiaGyad5S3X4rfkAt3fQmaHcTP4lPZIy+ekB+RB80NQlAkaE4Q4W0kXI3Er9Kd0oYPGsZ+NJaIpjJYP+iV4HW5gryTvH2SfehedN5YnnCFkMqi8mfwTQoT7sDlh+SxT8TSvemsQFbkA5Hded0AoC5U+0++ZH1x176uyAci6d50ZgAzbFVY9+FuCpuC0tDB+kGUik7fM31IoAmXPsPlD8/YV97HCmaFLAxBKIjofpG132roMAy30Z3QpaFUFtUz3NMr3sumtcnz5LFPxjJ4DKIUV7Kw1WEIivBn8One9JAFIRQmxW+yn7Hb6KpeIpn4e/E+0T7Xn00zWpRztpAdcU8ESkUjN0TiOD5YP8gKYs05NYfqSa18qTI3ObfsiTKDzDBipQEAM5AZtTGKwWMEzQvqOduDWTFzj1kv0fOn87sOdAXPD+bGcCkMSvTD0YSzGwBE94m8x3ij1Eu6tuAFwXRvuneiNzOAGX5POIIg/Ol8Y5eR+DX6kWiGH4PFZ8U8GiM/LB/FnCHE/z2ewqD4pvuGzA9RHFHQeXSbxqZt0bJD2IvrF3NEnBGNwixY4ouJxEdyEhKS/29M/mJy4pOJAAA42PV2HMMFCwWK0wqH1WFSmbRibfCsYJ8xPosKF7GD2Ha9HaWjxMYV/bX9Pok+o4sCAAaPEbogFKWiofNDbRobZsdkh2TJzyejNDQ0O9Q37XrGTfpdJD6cOGvrLJonzaqzUplUq9bKS+DRufSesh4gvtCvikJQZE3dmuDMYIfZgaAIYTjmwGwGG8OL4RI147sZqX9PBQAcw216G2E405cZvjgcpaLhi8Otg1bMjnXs7xj3yjgKjRK2MMx/nLOb7j7VHZIVAgCiHNH8ffN17bpDCw/9FPZT6T9Lbfpbs2kHCcmNJua++xg8HisgIHbDBvnp095xcXaTSS+V2k0mdXl5cFaWK2VfTQ2CosL58xEUFa1caZTL9V1dt07xqyJiXcT4z8ZTPah2nZ3CpNi0d96DHHP33dM++ojq4WEzGCgMhvUywalJSEhcICgy98xc/0n+DosDQRGbzgYAwdnByuNKAFCdUvlP9Gf4METrRRmfZVA9qHa9ncKkEMnk+fKgeUGjiwIA/yn+HkIPGocWMC3AqrV2H+wWrhByIjk0T1r0I85F87gDdxgcNC7NXbchGbmxXCqHOlA1AACKowrBUoH8sDzsrjBuDJfCpMQ/G0+MEAGg87fO+g/qx300jhjOy/bKoh6Mcg4kV4cRo92ewp4hnodbAhnOYmSMKiNH4JzDiCAIR8gxyA0AQCx8AwCUggKATqYzqozbU7YTJz1CPSyDlvYD7TFrYogzfql+xJx5Iv1F+Uqjf5rz8nPDuEalEcdxyT6Je0Zn6aNOVueEXVzJzhVx9d16daXaJQQANqo3ut68q/9b3V1w2UkoCIp4CjzdRQEA3ZOe/mJ6+ovpFo2l4buGfbP2rWtep5PqOg53KFKcEc2ZPCaO45n/ySx6uWhL+BbfJN/JmyaHTA+ZtXnWhQ8unNh4QjhPmPmfTFd9jmg7Skd58bzhFQUAyU8kG+SG3VN2073pac+mJf0lSSfVlbxeUr7JubFbYEbg8Ko2qU10LzoRJIQoyCUwe0c24QPVSXVH1x+t+KAi458Zw2XSPGhDTBixwgPSA0a5QLctRqXRdY+NchWIarmw6QLxL38CHwCUxcqUp5xhyIY8ETcOVjBr+EnXJNz+C/2EPzRoblDzZ83Rj0Yrjyszd2cSv/ac6+Fn8SU/SJLfSAYAxZGL/uXhMHydzwtCQYgVxK5n0Kw2u9Rgh7LNB8x2kx2hIBTGJX5bY7ex8ePGls+ds+990nyobOrYD8e2fNFS8VwFfzo/+c1kdvDFib0ufYbLH57Rora48iIIwg5hm1Xm4Ta64/KYEzOUzWqzy4PJDr2oBmE4QkFo3jQiJYIiuAN3r14AiHwgMvmfF4vITcq9XE0CADvkonwPoYdZaYZkYIeyU95IAQCD1ND83+bCuwvnFc4bXmkAwA5yZmcFsjgiTm9Jr0FqCJoXhNJRo9yoOqE6MecEkYDuTSduBtcEc3eI60hY5zJzuJIeQg+T0jSKOeB2ywF68Z5kC9kmpSnq4ajwNeEVz1RYNVZBjiDp5aQRjUJoCNOfOXopJCQkf1Z6Snrq/1OP23FeKg8QAAB2EJsbxe0p6tF36AULBBQ6xWqyXnj5Qk9pDyeCY9c7o5TKDsnCc8JHFwUAPmN8iHchV4NP49CoHs63fVejevPRd+uLXyjWSXW+yRcd2RFLIzrzOhk8BmbBAtIDcBxv+r6p7bc2Bo/BCnA2sIrCoft8KM8rK/9Vidtx/7H+LsN9k33dDTepTDQujebhHNd5hHgAgM1oQymoq8sOnBwYODkQAJRFyuKXio1yY9a3WTewCkhIbhHsYGfsMo/QUEtfH4IgQdOmKQoL2Xy+b1ISnXtxiGRSKs39/UdXriT+ZfH5Nt0f3zLk5mBSmureqjN2G73iLztB5DbHqFReeP99g1zuExt7q3UhIblDQKHjl46u/V00bxrTzzmwCpwZWPlipd1glx+RE4Nrk9JU+1atscvoPoGsr6Iv8sHI0UUBgHeCMxSqax2z9xjnGdd4s7ek1zdj6Of5IRkBIDg7WHFcQfOmYVbMJ8WnfVu7SxQ7hG1Wm4kBpvqcmp/FF/8gJkbKxm5jw0cNzZ81Eyl5aTy7yY5S0SGeh1sC6UQeGTafre9yfgbEcVzfpSfevIe4dNkBbHYQe231WuJfZYnSN8n3wvsXfOKcs0Uu5wJmB7L1Mqd8nVTH4rMQBOlv7L9ixiHopBe7dr1Uzw5kuwv5XeAYru/SE65eXafOK8pLvEfc8EPD4oOLAYDhxUh7Jq3jUEd3QTebz45YHDHjyxkAYDPYBpoHcAx3WB2LDiyym+3139QXPF6w4uwK3hjequJVpl5T4TOFFe9XTP9s+ii2j2KvUWmc8tGUrC+zugu6D+ccFi0VsfnspL8mxayOAQCD3GA32TVtmiESWAEsq8Zq1VoJP7JOqmN4M4ZI5gg50auju050AcBwmZZByxATIhZHDK/wP1DVtwPswIt3uE6qY/PZI14FNp+d/Ndk4rOEXq53mBwmtYnpx3TF6rppEXncCyKmHQGAtlHrN9HP0meh8+iESv5T/MufKledUrFCWC4PadqmNBafdWLeiYj7IjgijrZVy4niDC/iijD9mSaFiRvDBQBTt4kZwOw53cOfzh+SjOHHiNwQ6ey6VCaH2WHVWDmxnKyDWZZ+S+2btS1ftKS+fTFquUuf4fKHZwzODjYpnI5OHMdNChMjgDHcxstVHQAwA5hGmZEoxSg3XtFq9+r9vZi6Te7HDH9G9T+rWUGsmL/EAICH0CP13dSDCQcNMsPwSjN0GNxdvUHZQcoTSn2HPurBKABg+jED5wSmvZcGAHajXS/Wu7sPfhfEbGsAMHYZL+feHXLLAQBgYFKYCIe+sdvoGeZpUpjCVoXFPhGra9OVPV6mOKoYbhTcxEeGhITkdsNhdpz7y7k5++b4Z/hjNkyy3RlUh4hooZVo4x+NB4DGLxptOtviwsUUJqXq3SoijaZZ4xXjdUVRQ1oYhi/DprXZjXZiHY9ReeU2/wZR+HRhWHZYyrMpCILsn7WfOBmxJOLsk2fpXHrk6kgAkBfIm7Y2LT+znM1nd5/qLn+7HAA6D3amPHNx+yy72X7y/pOL8hcFTgp02BzNW52Dq6E9nT/TqrHajDYamwYARoURALqOdoXOcX5C3pm+c/pX04l5AIGTAjPeyDj10KkbXQkkJLcEo0IBqakAYJDLWYGBABA0bZp4504Gjxcya5Z7SgaPx/Lzm7trF/FvX22tV1SU8ty5m6/z1VP9SnXgzMDoR6MRBDmz4sytVuePUPrmmyFZWYkbNyIIcmTt2lutDgnJHYD6vLpzR2fWgSymP7OnsKfxk0YAoHFpvHE85Ullb1Fv2qY0AKh6uSpwVmDMozEIghSsKAAAS5+F4cNwH9iOKApgaMgGpj/TNXAmpnABgPyonBjVXsKwmXXB2cFVL1XRuDRiVOguyiQ3Mf2drpW0TWmsQNbxucdF94k4Ig7Tnym6TyRYKgAAk9LkMDtUp1UBmbfF/EUynMXIBE0O0nZq2w+04zhe+2Utw4fhHTV0WzYACJwcaNVY2w+2Yw6sfnP90XVHdZ0678gRUg5BtEzUuKVxsHXQYXGUvF4SuTxSI9ZcMSNmdUbgxSzOA61E2/BDA47hdd/UOWwOujf9akp3l+B+XPpGqcPmUJWp2na1iZaIgjODe8p66jfXW7VWh8XRmdfZV9MXPC1YtFzUvr99sG3QZrCdeepM7ee1CILsm72vM6+TwqCw/Fk2o03Tptk5cadBYaBz6HQvus14cW3RcNtH1NA8YFYUKQDg/Ivny98pR1DEI8gDx3GHxRGZE1n/db1VZzUoDQcXHVScVwzPTqFRwheGF71c5LA5lCXK9oMjb7rN8mcRCxiHyxzRhCEV7j/W36Wn6+COQLRM1PjjxasgyhGNmCwyJ7Lu6zpntSw8KD8nlxyQRCyOuKJ8bYe2v6Hf/eB6QfWk9hT0OMwOfbu+t7gXLo0NRGFQAqYF1Lxe4z7XmMKkeIR5iNaL6t+t13fqPcNGiBjuerhGIXh+cMvnLTa9zdxjbvuuLTg7WHlSyZ9x0YlMCAlZENL+czuRrOi+ov7yfkOnoWBJgVllpnpQaRyaw+RwpXfXZ7j84Rl9032NXUbFMQWO4+1b22leNM9wzyE2XsGKBcHNnzZbB61mtVn8g/iKVl996KWLDdT/DgxSQ8eODhzD27e1Y3bMe4x30Jwg8fdi9Tm1w+Kw6Wxtm9vYQjY7mD280oaqPTdYni8ntk8E4ovuUYW+Q2832v+PvfsOiOJoGwD+7F7nDo5+HBxH74JSVEBFRUWxG000GjWmfPqa3kwx9U1iEtOT18TEJJbEaGyxKwo2OtKkSpF6hTs6XC+73x9LTkIxGlEs8/vHdW/m2Zm5u2V2bnem6J2imu0111PCAVX/VK1v1+tb9JWbKy0rDQKAocPQmtcKA33kKJe/vEwYifZL7bJjMmGCUHpEmvNUjllvZjmycAZu0pn+sVJwfR88BEHuDSadCUjguHBMalPRxiKSIKkzgPss94ajDZ3lnYLxAgAwdhvZzmychbeXtdfsriGMRHdtd59fBwcL1QeNSXOd4lr8eTFhJmQpsrZLbRhgJEEqs5XURBDUxm2ou7HLyBVxSYKsO1KnyFSYDWYAcB7rrG3Wlv9c7vugLwAYugxUj0stU1/66hJVI7Vc3XsmaLPWTJIk15VrVBvzPsy7RsXdE9wLPi4gzETjqcbm/GYMw+pP1Itn9Myt7DXPK3NdZvvldsJMqGXq0s2l7lPcAaC7vru9vL33BoLc7Sp37DB0dupaWiq3bXOfPh0AnKOj24qLm9LSXCdPtiQjDAaHkSONKpXs/HnSbK7Zvz/n9dcx+p1+w5lJZeK4coAA+Sl5a14rYSQAoLOsk3q2zLJxJzOqVFwXF5IgGlNSmgsKCKMRANouX9YoFL03bpSlH2vZQJB7hkllovPoDGuGtklb9WOVpSfgOt21dGOpfZQ9g8egklm5WgEBsiRZa24rYSTkp+WWSRqvHaoP4Qxhw74Gdb3apDVV/1RNPQilU+g4LgM8BduHfYS9vlVfu7OWGqAQzhA27G1Q1arMenPZ52WWy08ap+dyvuTDEgBwTXS1XEhmrMxozW1tSmmyzL+sblR3VXb13rid0CDywOgc+sx9M3Pez/nZ+efqvdUz/pgx4O1jDCvGrD9nUcnKfilL3JtYe7jWa94/D7E5RzhHvx99eObh7V7bcRoe82FMzaGaa2d0n+qe9nJa7ZFal2iXuhN11Hp0LjEuDScbfhb+XLqlNHFvYv2x+us5eu8InrM894zdo1FoaCwaT8Tb4bPj5JKTcd/E2QXacRw5c47Nqd5XvVW8dat4a/5n+TMPzOR7850jnGM2xByZeWS753ZDp2HcZ+MwHIv/Mf78M+d/cvwp/7P8adumOUc5h/4ndHf47q2irZ1XOmM+iLlG3QcsZFNG0+EZhwEgZkOM5Ixki8OWw4mHx30yzsbTJvSpUKdwp53BO/+I+MMj0SPgkYGf/Zm4aWJXbdfPgp8PJx72Xeg7YBq+N78pq0ktU/ePOWAV+jQ4jUGzlNOycVeg3oVDiYe2eW7DaFjsh7EDJgt7Oswpwum3oN92h+/2mOkRuDxQclYimjzoXBAWRd8Vpb+W3ntjqIgfFNOsaCdjTqY+lCqaJwKA5oxmp5ircwO5znDVNGrcZrn1yej/tH9rbmv1j9W9Z0Gi2EfYN51p6j2r/YC8V3rzg/nJk5PPzT3nPt/dJcHFrDNbVlO1BKGm5U2enHwm8YxgssD9AXe7MDuv5V4pM1JOjj6pqlMFrwsGAOfxzsUfFFf8r8JSnj7xXWe69s9IY9PG/jj28leXj488LjkqGfP9mN6nJqqOzZnN16rFcm/bMNvk+OSkmCSn6H+eU6lP8w6Gqo48Wc4Vc3EWnvpQKgDYR9orzymPRxyv+71u7OaxOAN3Hu8c+lZo8QfFx8KOpUxL6SjpGLdjHEbD+jdan/jWftY0Dk04TUjda2wbahvyakjG8oyk6CRjl3HEmyP+sYSDljzO+cKCCykJKc4TnD0WX12FvC2vLeORDBjoIwcAOAvnCDlJ45Jy1uaEvRdm7WvtucyTwWeciDqRHJ9sG2brPt/9HytlabR/XXgEQe4iLFtW2LqwE1NOHJt8jMlnuiW4ZT6TCQB8fz7dii6aIaImhgpcHdh2qW1/yP78t/JDXw6t+aOmYkuF+0z36wnV35hPx7QWtB4IOVB3oM452pnBZ5i15lMzT3VVd1k2bkPdx34wNuftnF2Bu+qP1496ZVTqM6mEmcAwzGOWB41Fsw+xBwDxDDHfj7/Td+eJ+Sf8l/lrFJrsN7MtE6D1VNyOFfVm1IHYA/vH7mfxWeJE8bn/OzfgESd8M0GZq/zN67fqvdUu41zo1nSzzmyZ5SxyfaRbvNuJeSe2Om49Mv2ItYd1zGcxAFC6uTRrfVbvDQS527mMG5fyyCPJS5a4TprknpgIAHQOxz401MbHh+3Q8yC2cMKElGXLTBpN7Fdflf/ww+FJk+oOHoz5/PN/9yDa7RTyWkjpJ6VJ45LkKXL/tf6FbxSSZjJ/Xb7ksAQALBt3svCXXir44os/p0yRnD0b8n//l/3OO4TZnLV+fd2xYwBg2bhRrXmt6cvSe28gyD3DZbILz5t3YuyJjJUZ4oViXbOuZkcNAAgThOp6NXX3LgCEvB5S8nHJydiTTSlNAU8FFLxeoExT9rmwHSxUH3ahdoHPBZ5fdP7s7LOOYx2ZNsz2onbb0Ou6fRPDMOE0IY1F4wfyqVDBrwSnL08/GXMSo2Ehr4b0ThzwTAB1Oe/zqI9tqO3pSadTZqS4xLuI5ol6jzzUbK8p+aik98btdKf/YbidnjI9BQB3/h9Li4akhsJvCucem3vzocx684/2P/5H/Z+bD3UPG8IGHxYkkDh21/xupNao29vQTUB3McV5xZWfr8TuGPj3iTvE+fnnQ98JtQ+3v6FcZr356Iij86rm3aJSIQhyD6Az6CxmzzxarYWtOS/nJCYn3v5iFPy3QDhZ6DLBRd+mPxR1aHb67Fs9MzJOwznsnhtzmvObU59JfSD9gVt6xAFlv5ktmiZym+ima9XtCtn1UN5D1MzIw+4H9g/DXQTkXraooAAA4J+uZ3PWr7cLCfG7jskTyn/6iTSZgtesAYDSTZtwFivoiSeGoqQ3jGA0kta/UNvtRe2FbxROPjr52llu+BAYAQCH3A8NbVjKsvJyAMDxnmux1pKS7Hfembl//81HNtEu6Vm7qe32ovaC1wvij8XfUAQSSAD40/3Pmy8MggytBY0LAAD7a9wyY1WG1yNewinX9ZjsEGorbJMclox4bQTOxEs3lho6DOEbwm9zGe4cd/ojKgiCIAiCIAhy9+qs7KTzhqfL7RrvWvZdWd7beUBC5IeRt3ltvfbL7dQjpbefe4L7pa8uZb2aRZJk7Kexd8gIMoIMO9Js1jY3N6Wnj3j22eEuy7/XXd09XCfVodJZU0PnDv15qbu6e7jOughyq5m0Jo1EMyyfcNtgW8lhyYXFF8xqs5W7Vfgn9+8IMqBB5Luaw0iHyHWRQxIKZ+DTtk0bklD3sCFscAS55/GD+P5r+y01cIcJeimI63nDPXicgUd9GXUryoMgyL2nJb+lantV2Cthw3J0wXgBNdXy7ae8qCz/uTzyjeHpOLnGubrGuf5zOgS5z3RUVKQ9/XTQk09aCa7rzMDg8Sp37FA1NJAE0VpU5L9ixa0u4T9qK2yr21kX+HzgcBfk32spKqravTv0qaeGNmxbYVvtztrA5+7ilkGQayhcX2g/yt5htMPtPzTOxMPeHp6O3B3orpm64TZYa1h7F7UHYSJMGhMA4HScWnT7Zhi6DNSGZbY4pI+hbfBhdFdM2EIQhNFoNJqMhBktO3ZXIkwEtX4gRsPu2O+LSW0iCRIAaFY0airS60GSpEllorYt81IhCIL0RpAEQRCEmTBpTaoGlUltorFpPDGPzr1Dz4dDBcMwBoNBZ9DBAN313VTFrT2tGVx0tuzxE/en4S4Cci9bUvvdNV416/XddXWGzk4ai2Xt4cm05V87mqGzU9XQoFUozTodANDYLI5AwBOLmfx/yHgLGElaM9CazcZWdaParDHT2DQrkdUQnlSpKR1IjNwr2DtUMXt78Mq3AIABZtbpVBKpSaOhsdk8kRvd6qYeECFBR+JKAlOYDO3qRjV11uW6c2+gZQg7zOSOGUJw48DrDCHIMCI4GcCsALpM26TSKXQAwHHhsAXs4S7Xfe0e78veEJIkgbxrxtUxGmYZvyBJ8iajDWGoe9XQNvgwulsKz2AwGAx0zXk3u66VBoYV799mtB7KUiAIck9Sa9Td2m6ggZVXzwABCaTRaBzeUt0GBEEwmUxgAd+f33vnMBbpDkENUSHILcWwzQSAwT5rDAC2M7WpAfiHBaUBgMEHrhgArAAsA52q68l4C3E4nBDOLYpNzYl8ixiYyQCAERjwgPPXvcIE1BuGKD7Owq19r/ZQb+CKD2vD9Q/iJvToBnInwrWxpFURhpNcVy7XFZyZPQoAACAASURBVM1MdUe4a1bZQhAEQRAEQRAEQRAEQRAEQW4/NIiMIAiCIAiCIAiCIAiCIAiCDAoNIg9qX8y+zezNP1j98IPVD1tstxyadqijquM2HLe7vvv8U+cBwKg2fs/8Xt+pt7xU9G3RyQdP/ruwkjOSI4lHzHrzjzY/Xk96ebp8T+Senxx+2he9T3FR8e8OejNOLT1lmamZcmDCgeb85psMS7UDFU2RM3C9Ml7L+J71PfXW/8D74Y9RfzScbLjJ416n/rVGEARBEOR+dmXbldbc1v77K7+rLPmw5BoZ817MkyfLM1dl3rKi/YOWgpbDEw/ffJwLay40nGhIeiDp5kOV/VCmyFIAQNEXRXtH7v3V7df9EfvLfhjWx/MR5E6V/lS6WW/uvz/lwRTJKcm/yCg5Kan4uQIASr4uyXs7DwBOJJxoyW0ZovLeTTqKO87NOXfzcfJfyh+wqf+1lOXL28v+4ZSolsny3n9/sFfPr159ZMqU6l27sl599eD48eVbtgxh8ZD7XNrKNHmy/CaDdF7uLP+mPGVOSmv+AJ2rG5XzfE5zdnNyYvLNBEmZk9Je1H49Kat/qW65OMznTDQn8rVM3zPda64XAKhl6szXM9NfTp91aNatPqhRbWzKaLrVR7k2kiBPLz8d83GM9zzvgk8LUlalLC1ZepvLID0nJYzDNoNe2DNh4z4bBwCGLkP51vLTj5xe1bQKp9/yH12Gt9YIgiAIgtxp2vLavFd4998vmiu6Rp/BrDMDBjhjOO8X4fvyYz6PuckgJp0Jw7ChqogyWxn0ZFDljsqafTXxO+Ltw+w7qzqTFydbuVp5zvEckkMgyL3BrDNjGEZj0fq/FP52uJXroMvBXSOjWqLurOoEAM8HPAnDfX3Jw/Xijnx/5E0Goc7zAzb1LWXSaFoKC6+RIPqTT5yionwffrhk06bbVirkfjBi3QiO8GZnRZeekIpmiWSnZTdfHup0ZxtsG7Eh4uajXY+W3BafR31uz7EGgwaRrwvXles1xyv3w1wAIAky98Pcy9suA0DQqqCoN6MAoLmw+fx/znfXd7tNctN36KPejDKqjCXfl8z8cyYANJxqKPq2aPaR2W1lbReeutBW3mYfZD/ph0m2/rZqufrM42eUOUqWPSv2k1jPuZ4nF51UNaqOzT2WsCthsPLoO/VnHj8jPSvFGbjfEr/xX44nDMTOoJ3BjweX/VTGsmNFvh7p+6Cv2WjOXJdZvaea7cj2mu/VJ0jNwZrst7P1rXq3eLeJ302kMWk7g3ZGvRmV83bOosxFhIHwWeiD0/CQ1SG5H+QSJmLAIdSsN7PYDuxRL4yitll8lsNIh5LNJSa1qTmvme/Hn/TDJMcwxz7V9F7g3b8ZG041VO6sZPAYaqmaZcfSt+v/nPznvNPzrARX+yiyC7Jzq8/p2nUBjwSMeXcMddDyn8sJIyEYK5i6YyrbgX1gwgH/Zf6XvrpkNpgDlgeMfW/sDbUD05rZ+1WmDdN/qX/GKxmGTgPbgd0/sa5Vd3b12ab0Jlt/W4cwB64rd9SLo7YKtz7R9gQAmPXmn51+/r+u/9N36i88fUF6Rsp2ZEd/EO05x5MwE6nPptb8WQMAIatDxrwzJmVVyoC1RhAEQRDk7kUYidKPSyWHJBgd81zqGfBMgPKCsv6PesJItOW32fjbjHhzhG2IrbHLWLi+UJmmZNmzQl4LEU4TAoChw8CwYRBG4nTcac+lnrU7a5m2zIBnAkRzRNLjUn2zfsT6Ee2X2gvXF6rr1TaBNuEfh1v7WAOAMlXpPMEZAAgDkf9KvvKCkufNC30rlB/M/4fiDp3O6s7MlzLnnp9r6DRcWH1BfkGOM3DvB72jP42+9OmlrpquuM1xAKDMUZ555Mziy4trD9Tmvpura9FZe1mP+2ac82hnAJClyFwnX13xqa2kLXVtamdlJ8uOFf56uP8Kf0mypOrXKsJAKHOUtkG2YzaMcQhz0LXq0tamKbIUjpGOOA33nO/pt8xP36Zn8pkYjilzlK7xrg4jHQDA1t828q1IfZt+sFogyN1Lq9Rmv5itzFKyndgR70SIZohkKbLqndWEkWi+2GwbaBv5fqR9qL2hy5D9Urb8vJztwA5/O9w90R0AZGdlwklCs958MPKg30q/qu1VTFtm6Euhngs8CzcU+q/yFyWIWvJbcl7J6a7ttg22jf4ymu/Ht2SUpcgu/3Q5flc8AMhSZOWby8PWhRV/UWzWm1l2LIY1Q6vQRv43cpgbaPioa9WX3ro06cgkY5cx/6X85oxmjI65z3MPfS+08n+V6jp1xOcRANCW35azJmd61nTpUWnZxjJ9q57rwR310Sj7cHsAUKYqncY7DXnZFFlZ2W+8YejoEM+aFfbCCxfWrPFbutQtPh4Act56i+/rW7Nvn6apKfWppyZs2tR15Ure++931dTYeHtHvfuutafnkJcHQSxKNpb4LPcRThU2HGwo/qhY36rnefIiN0baBtseDj2ckJLAFXMB4MLSC6KZIve57jnP5SjTlTgDF88Xj/pgFIZhANBZ0Rn8QrAlZp9QDhEOxRuKcSYuTZLqlDrnWOfIjZEMa0b9vvqST0sAwGORR/2++lnZswBAcV4hiBOoalX5b+RPPTG1f8aqn6tUdaoxX40BgNa81ownM2bnzq7fW1/2dZmp2ySYJIjYEMGwZlgKU7C+QCPTxP4UCxiUfVlWu6sWALyXege/GAwAhnYD1Y25rY3eD5rO4rqopKrKXZWecz0B4PKOyw0nGx7KfWhh+sKqPVW1h2vNRvPJRSdDnwpd2bBSMEYgSR746R7CRJx44ETImpBVslU+i3xOLT0FAPkf59t42jwqfTTmo5i0l9JwGj5j3wy+L3/W4Wvd8lzyfQlJkCvqVizOX3xl/xVqkgeNXKNv1y+vWT7qxVHpL6UDQMl3JYocxeJLi2cfn31l35XeETqqOs7/5/z03dOX1ywHAi6+dxEAdC26poymB1If4LnzHpU8itNwo9pY9UeVS6zLDd2EW3+03meRz6qmVQHLA5IWJxFmok81B2xGAKg7Wmfrbzv5p8lTtk5h2bEWnF3QZyy19nDtggsL5qfML/q2qLO6symzqfK3yofyHlpRtwKjYZe3X6aSVe+pfij/oXmn5hV+XthR0XGj7dCboctQsrnEJdaF7cAeMHHqc6lWAqsVdSuiN0RTY+IDSns+jWXHWl63fPJPk5NXJmuUmtqDtcqLyqWlSxdmLCz+trijsmOwWiMIgiAIcveq+bWmvbB9SvKUiQcnSg5J5CflACA7IRMvEs/InsH14FZ9XwUAl96+xOAzEnMSIz6PyH02V9+iBwB5stxlqgsA6JQ6Q4dhRvYMv9V+Re8VWYKbdeasJ7L8/+M/q3CWW6JbztockiQBoCmlySXeBQCUqUrhdOH0zOk2gTZVP1QNSwuUbyknSXJJxZIFWQvq/qxrLWj1mOMhSZKQBAkADccavBZ6kWYy7em0Cd9PeKTxEc95npc2XqLyNiY1uk93t4TKWZ/jMcfjkcZHJnw/IevVLKqydYfqfJf5Lq5YbONtU/xlMQBkvZxl42fzcPXDQU8ENZ5spPI2nGgQJ4oBwG2qW8XWirz/5rWVtpEk6fWAV8DKgNvcJghyG2S/lM3z4C0qXxT9dXT62nSNXAMADUcavJd4LyxZaO1lXfp1KQBcfPUi05a5qHRR7P9i01an6Zp1ACA9JXVLcAMArUJr6DA8UPxA8NPBuW/kWoKbtKZzy8+FPBvyYNWDHnM8Uh9Lpb6Plox9OI12Cn0x1GuR18jXbvYO3HtJzY4akiCnZ0+PPxUvPS7tKO4QThc2nW2iTo/y03K3OW6kmSx4tSDi04hZRbNcE10rvqmg8irOKKjz/NBqTEqa/Msv0/bsUWRm1h444BoXJ09LAwDCZJJfuCCaOjX2yy95YvGETZsIkynt2Wd9Fi+ee+6caPr0zHXrhrwwCNIfYSRyX84d/eXo+eXzRTNF5V+V09g0l8ku1EwXRpWxJafFbaZb9bZqkiRn589OSEloPNpIzRehlqi5Iu41QlH7q7dVj/t5XGJaYveV7oaDDV1VXUUfFsXtjEtISWjJvjqbhDxFLpwi7F22PhndEt2aUnq+zrIkmftc986yzqINReO3jZ+VM4s0kSWfXJ2XrPzb8o7SjujvozEaVvdHXdOZpoTkhKnHpzYcbJAmSQFAdlpG3WEwvNAg8rWcevjUjzY//mjz469ev3Zd6Yp8LRIAqnZVhT0TxrJjWblYBa0MqvmzRpGp4DhyAh4JwOl42LNhHOeBb7BvymrCaJjfYj8Mx4KfDO5u6O6q6WI7srsburvru30W+qyoWdE/11aXrT2T81r9kPFKBrVzxOoR036dxuAxDF0GOodu6DQAAGkmgx8PxjDM+wFvfYceAGoP1ka+Eclx5PDceGFPh/UOW72n2mu+l32wPY1FG/nCSOp+WLPOHP1htI2XDZVGLVf/6v1rxssZo98ZfUPtZu1lHfJkCE7HQ9eGkgTZUtjSv5r9mxEAuG7ckc+N5DgO+oSC/zJ/Oodu7WHN9+UbugwOIx0eyn+I68o1dBtwJm6ZTdh3sS/DisH35TuGOeo79TfaDgBQvKmYeut/cf6l8PPCSZsnDZiYMBE1B2uiN0TTWDThOKHHLI8Bi02YiSv7rkSsi6AxaILRAuEEYf3xerYjW9+hby1ttRZbP97yuK2/7Q01MoIgCIIgdwXZMVnAMwFMWybHhePzmI/0hBQAmHZMYYIQp+PCBKGxy0iaSekxacBTATgDtx9l7zDWQZ4iB4DmtGanWCcAIM2k11IvDMNcZ7oaO42W4K25rRxXjtssN4yGea/yNrQZ1HVq0kyaNCaGDQMA2AK2cKoQwzGncU7GLuMgZby1Ah8PnPTLJDqPbug20Dg0Q5fBLsiOyWc25zYDQMOxBu9F3oDDosJFwglCs86M4RjVuSXMhFFtZPKvPiUW92Nc2AthAEASpElloi7MWPYs8SwxTsfFs8T6Tj1hIuqP1Ie/Ho4zcPFMsWOEI5VXdk4mnCgEAK/5Xgn7ErrrupPmJu3y2ZX3Xp5RNTwtgyC3DmEkpKelI18fiTNw5zHOrlNcpaelAMCyZ7nPdMfpuPtMd0OngTATdQfrRjw/AmfgjpGOghiBJElCmAmT2sS0YQIAaSb9VvhhGOYx14P6YlKac5q5blyPeR44DQ/4vwBdm667prt3RuR6eC33ivo2is6lm7pNNDbN1G2y8bdhWDPaC9sBoOlUk2iuCMOxaeenOcY4mvVmDMdM3SYAIM2kSd1znh9aAStXsuztOc7OAatWSc+eFcbFNaWmAkBLfj7X1ZXrdvUXgtaiIoxGEycmYjjus2iRRiZTSa41WTaCDAkMxxLTE51jnc16M+BA9W3cEt1kyTIAaDrT5BTjxLJn+azwif4ums6lG1VGGptGJZOekLrNcLt2KABwHu/MFXMZ1gxBnMDYZWw83OixyMPa15rBYwSs6fnVecDvYJ+M/AA+w4bRVtAGANIkqXi+WHJc4vmQp42/DY1DC3k5RHK85ytT+0dtycclo78cTWPTAKDhzwa/J/yYtky2M9triZf0mBQAFKkK53HOt7h1/xmazuJaEnYlUHMidzd0p6xMKfisYPRbo1WNqov/vZj/ST6VRjBGoJKqrL2sqf9iOMYVcvsGIgEAVI0qrUL7R/gf1D6eG0/fqQ99KlQtUx+IO8CyZY18YeSI1SP6ZF3VtIrFZ1HbRd8WyS7IAEAlVWWsy+hu6HYMdbSkxJm4XZAdAOC0nt8GNAqNZUTY2sO6d1hVo6r+RL2lMCw7FkmSOAPvfQ8sV8h9TPGYLFV2JPHIyvqVbAf2P7QX2fOvtfjqsWy8bNRSdf9q9m9GAOCJeNc+guPInvpS9/ATBiL95fSmzCa+D9/YbRwgGQ37F+0AAKFPhVrmRM5+O/vC0xfmJc/rn1jTpGHaMC1vUP/yU9E0TRrCRBybc8yynzASrnGuQauCzj5xVt+u91/qH/NJDI15uye0QhAEQRDkVtM16ziuPT+QW4msdId1AMAP5lOPVVJ9FV2zjjSRGSsyLLlIE2nSmjAaRmPRzHozzsSt/azhry6Qhb5Zb5mcFMMwKzcrnUKnlWsdx/T0hfghfMurt7Sa16CWqXPeyFE1quxH2Ft2eszxaDzZyLJjmQ1mp0gnkiQrtlXU7K1h2bM4Tj3NpUhXuMT+7T47Raai6Isi0kQ6hjvCXxVyCHPo3ZhapZZhzWBwe67ruK5cADBpTDgdt0weKogRCGIEAKDIUlx866KmSTPh+wm3sg0Q5HbTNesYNgwG768vgjtXI9dw3bh2oXY93xccAwCdQkeayDMPnbFkJEyEMkPpHNMzVIEzcX4AH/76fllolVquW89lL4ZhXDeutkmrkWksGS1Iy1Ui0o9Wri35oEQr1doE2Vh2CqcLm1KamLZMs8FsN9KOJMm6XXWSwxImn8ly6rnwbMlucRjjcCuKZCXsudWRJxLp29qsPT1pbHZHZaX0zBm3qVN7p9TI5brW1qSFC6n/cgQCY3f3rSgSgvwNDrU7axsONjDtmGzHnkEq4RRh3ro8k9okPSkVzxMDgFauvfTeJbVUbRt89Xa91rxWvyf8rh0KAGxDerJQ50mtXGs7omePZVLm5qxmx7FXh+MGzAgAbolu8mQ505ZJGAj7UfY1v9VYQlmJrHRKHTVkpExVukx2qfqlKvz9cADQSDWln5WWf9tzZ7RDuINJ+7duzDBCg8jXxVps7fuQr+SMBAA4zpwRa0f4PeQHAGqZ2qQ1ddV0ddf1nC6NGmNbeRu1Td0cAQCtRa0AYOVsZSW0WlywmNqpyFHYj7DvrOoc9+m4iZsmyi7ITi46SY1Z/6PUZ1M9Ej1GvTwKw7CDkw9SO/vPjWLlYtVd120fbA8A3Y1/O6FzBBzP2Z4TN00EAKPa2FHZgWGYpWeguKio+r1q/JfjAcB1gitPxGstbnWbNMBzSQAAfy2K0FLU4hbnBgCqRpXlRVWjysrFStOk6VPN/s3YeaWzT9ekvz51vPT1JWO3cXHBYjqbnvNuzmDJbrQdeidg2jBD/i/kz0l/DpiY48QxdBgMXQbq93ZlrlI8XQz93nrqWmj28dnUDwzt5e1sJ7Zaog58NDDy9cj2y+2nHzldd7jOZ9EwT5GOIAiCIMiQYzuxtXKtjb8NAGilWrYzG/r1VVj2LAAY99s4toANAN1V3UwHpvKcUjBR0JNikC4Sy4mllWupbZIktXIty5lVu6PW7z8910jDOHZskflipvsM99DnQzEMO5bQ85u6x2yPjBcymDZM70XeACC/IK/6tWrO2TkcZ47snKxgQwEA1B+rD3v+6jNkJp3pwhMXZhydIYgWEEai6re/Zuf4+6OVbEe2octg0pjoVnQA0DRpAECSLHGb0tOV/TP6z/GbxjtFOgGAIFoQ+U5k6urUW9sECHLbsZ3Yxi6jSW2ic+kAoJFoqFvY+pwTWI4sAJiyf4qVixUAdFZ0shxZxZ8XhzwTQiUYbP5NjjNHLVVT2yRJamQajoBT8UuFJaPlIrG9pH2I63YPKXqrSBAv8Fvjh2FY6qKeE5HrdNdLb15i2DBEc0UA0JLR0rCnIe5gHNuJ3ZzefPnLywDQdLrJd43vrSiSpqmJ2lBLpRyBAACEcXHy1FTZuXNxmzf3Tsl2cOA4Ok7fv5/6b2txMd/3lhQJQXprTm+u3V075dgUthNbkaoo+7wMABg2DIcoB3mKvDmjOXJjJADkv5EvnCoMWBuAYdjZ+WcBQN+qZ9mzep8DBwwF/c57bGe2VtbT19IqejZkSbKAtX3nwup/wnSb4Zb3eh7DmiGeL+4TSiPVsJ3YVHkiP43kuHBOTTnl+6ivtY81y5Hlu8qXyqJt0pp15qazTVf7hMMKTWdxvdhObOpJN+8F3mU/lhm6DZomzbG5x5oym1xiXLrru6v2VJEEWbaljFpqlmnNVGQpNAqNUWWs3lMNAIIYgaHTUHe0jjATZT+XJa9Ixul41htZeR/lYThm5WJFkqRZbwYAs8F87cIYugw8dx5JkLWHa5symwZb3NZ7gXfeR3n6dr1GoSneVPy3l+Z71x6u7azuNKqNaS+klXxX0vtVnohX/kt5w6kGs8F8Zd8VbbO2950jvTF4jIZTDSadqaOqQ35BTu3squkq31ZOEmTpllLCSDiGO/avZv9m7B+cao2uuq62srbB2oHjzKGxaK0lrRW/VgzWbv+6HShsR7ZJbSJJsn9iGovmFu+W/Va22WhW5CiUOUoAwBk4SZCNyY0kSZZvLQcAGpPmMdOj6Jsiwkw05zcfiDtg6DRU760+vey0WW+2EljRmDST1tS71giCIAiC3BtcE10rN1UaVUadUlf9c7XrDNf+aXAmLogXVP9cTZrJ9qL28wvOG7uNTWeaBJP/4YLBIcpBI9HIT8tJkqzdUcvgM3iePJ1CxxEMOjmYulHdVdnVe+NWM3YbuW5ckiDrj9Urs5VUx9VpjJO2WVuxrYIaRDZ2GxnWDIYNQyPXlHxbQhgJANDINVbCqw/JmbVmkiSthFZGtbHgowKSIAfsA9OYNNFUUeHGQsJMSE5LWgpaMAxrPNkoShBRCTzmeGS/lt1R0UGYCY1cU/5DuVu8GwB013e3X27vvYEgdy+cgbtOcb208RJhJlpyW6TJUrepA9wSRGPS3BLcyr8vJ8xEa2HrieknjF1GrVzb+6s3IKcxTmqJuvFEI0mSlT9XMm2Z1t7Wlox0a3rzxWatUmtUGesO1FlyEfoBvrMkQSqzlUaV0bJxUzW/q5hUJo6QAwTIT8lb81qpc5pdhJ2+RV/3ex01iGxSmeg8OrUaYfWWaur0qFVoqfM8SZCtua0mtcmycZNFqti+3dDZqWtpqdi2TTxjBgAI4+Kqf/+dbmVlWTePMBoBwGHkSKNKJTt/njSba/bvz37tNYyOblJEbjmjysiwZjCsGdombeUPldQ3AgDcZriVfFLiMNqBegLDqDJauVoBAdIkaUtuC2EkZKdkrgmu1xOqD7dEt7p9dap6lUlrqtpSRQ37ahVajsugfS0L+0h7fYu+ZmeN+zz3nlB76rprus16c+lnpW4ze07LdA6d58HzWelT9EERAIhmiWp+raG6jqnLU1sutsiTr86/fPs7cr2hQeTrxffmK7IVapl6xNoRjuGOu0N37xm9xyPRw3+ZP4PHmL57ev6G/O3u21uLWqn7GpzHOPst8ds3dt8Orx1Ux5RhxZixf0buB7lbhVvLt5ZP/2M6hmFjPxwrOSP52fnno7OPxnwUY+NpY+NlQ2PRDk09dI3CRH8YnfVm1k7/nfXH68PXhZ9/+jxhHuDjHrImxCnSaVforl99fqXuEbZwCneK/iD66Jyjv/r8aug0xG6M7f0qV8iN/yU+7YW0ba7b8jfmz9g7Y7B5igNXBDJ4jN98fjs87bDv4p4fHgXRgsakxm2ibWU/lU3/YzqNQetfzf7N2Ceyx0yP/bH7NQpNyeaSrPVZAx497Omw5vzmHR47MtZlRL4RWflbpTJPOYTtQLFytqKxaPVH6wdMPOn7Se0V7TvEOzJfy/Rd4gsAGI6N+2xc6vOpW1224jScukl54qaJ7RXt20XbTy07NfG7iXwffvCTwSw71nbx9l2hu5winfwe9utd6wHriyAIgiDIXcd7pTc/mJ88Ofnc3HPu891dZw4wiAwA4R+Fd1d3H484fvGpi6M+GmXlZmXWmXuv2T0gGps29sexl7+6fHzkcclRyZjvx3SUdNiGXmuhhdodtaUflfbeuNWi3ovKfTd374i9jScaw14MS38+nTATGIaJZ4pxJm4XbAcAogQR35e/J3DPqYWnfB/21Sg0F9++6Bj+twdFWXas8DfCD8cdPjT+EJPPdJ/hnvqfge8gjv0qtiW/Zbff7pr9NYIYAZ1HN+vMlnlaw18Pd5vsdmrhqV+Fvx6fdZznwRv7yVgAKN9Snvt2bu8NBLmrRX8R3VnZuS9wX8YzGeO+H2eZfaJ/sq6qrn0B+1IfT43+MtrQabAfNfD9Q73ROfSJ2ycWbSza47un7mBd3Na4tqI2S0bHSEevRV7HJh/bP2K/MK5n4MNxtKM0WVr4YWGfUGatOSkxqau6y7JxE5W+ywS/Gly2sezU+FNNKU3+a/0L1xeSZhLDMJdpLjgTtwmwAQDBZAHPi5cUk5T1aJb7A+66Zl3JRyWW87xZZ05dmKqqUVk2brJIwvHjk5ctO714sevkye6JiQDgFBFh0mpFf81lwROJaEzmuccfp3M44776qmzz5kMTJ9b++Wfs55/fCc++IPc8YbyQ5807GnU0dXmqxyIPnVJXva0aAFynu6rqVNTduwAQ9kZY8YbiY2OPyU/LA58OzH81X5GqcI51vp5QfdiF2gU/H3zugXMpiSlO0U4MG0Z7UbtdmN31lBbDMNcEV5yJ8wP5VKgRr45IXZZ6bMwxjIaFvhbaO3HQs0EtF1uUGUrfVb62obYn406emnZKGC90n+/eu09Yva266MOi3hu3E/qSX/Uf/X8AhqBJDk4+OPbDscLY4V82cVg0nGoo+rZo9pHZw12QYZDzbg6NRYt8PXK4C4IgCIIgyHBSa9TdXffj1JB0Ot3aumf9iZaCloznM+aen3v7i3Hx7YuiqSJhnFDXqts3at+C7AXUzMjDiJoWdqv11uEtBnJvW96+HADQFMT/DoERALDTbuetCD6vcR4AYETPWENHcUfhG4WTjky6Fce6UTTVatw08K+bFsdmzBj3zTe2/n1v/Orv/OrVwU8+6RQVBQAlmzbRmMygJ58cmoIi9yXSYTOGt1DbaSvTfJb7CKfe7qG2toK2xsONoa+H4ky8+ONiQ4ch8uP7d8wHPW6AXJf2y+3F/yvus5POpcd+MsCtuwiCIAiCIMh9rqOiw7Ko120mmiYq+bYk540ckiTHfjR22EeQEQRBeuuuR5UsfgAAIABJREFU7qbz7o6hGMJobEpPp7HZ1zOCjCC3jklr0kg0w/LFsQ2xbTzceO7Bcya1iSviRn52/44gAxpEvhWi3oqy9b/WU4R3I7tAu7j/xV1PSscwx4hXIm51ee5MPot8Blt6AkEQBEEQ5P7RnNtc8UvFqNdGDcvRhROEwgn36UOBCILc4doL2+t21gU813dJrjvTlX37KnfsGPPBB9eZnu3gkPPWWwErVrQUFrYWFQWsWHFLi4fcP/Jfz7cfZe84xvGfkw41nImPfGfk7T/unQkNeF21smPlzQcxqo2kmQQABpeB0e675iVMhEljAgCcjlMrYt8/zHoztSYejUWjsWjDXRwEQRAEQYYHQRAmk8lkMhHEwCu03KswDKPRaHQ6nTSQqnqVUW2kFophcIfnfuQ7B0n2zC/wq/2vw1uSO8EzVVVGHCcAzDhanmeIEcw8kllO0qUYrhvustxlqAlnSIzcYbPjVsSf1zgPIzEAIHSEplFj0phobJqVyIrOHeZLZhwcaOBCBxcMBjhRGzo7u+sbzDotk8+3FnvQOOxrR9MqlN0N9YbOTsucKlYCAc9DzOTzh7zkyH2B1g60ZqA3a5tUWoUWSOC4cK5nOTvk1rm/hvmuTavVDkEUvGe1QrPBPATR7kYMAAAzmI3a+2hd3R5U3QkzDMVHCUEQBEGQuxc1ojrcpRgGJEkCA3i+PMsek8k0jOW5Q1jGkREAYBCEho6uQ4cebogkGQqMUQdwP558bhKJ39ovKYmRNKDhHNzG3+aWHuiGkNDGstEzcNmAr7LswNqT2uwA6PjHaCw7sA0EAOte+zQAl2+6mMh9js7ysLX1uNce979LoZ9/EQRBEARBEARBEARBEARBkEGhQWQEQRAEQRAEQRAEQRAEQRBkUGgQ+ZYgCTLrqawBX9rvtZ+aNfgaGYs2FFVsrujzUtnXZc3ZzQAgOyWr3lb9j0c3aUx7hHsMXQbL/sotlemPpfeJkLk609g96LwTnRWdF5ZeOBhy8FDoofTH0lX1qmsc9+YNWPF/4cz8My05LUUbii7/b+BnZ2TJsj3CPXvd9+5137tXtPdI5JHBUg45y/uIIAiCIAiCDKbyp8rmnAG6TGXflBW8W3CNjJnPZBq6DHs89/TZL0mSVP5SSW2nPZF2jQ4wcpvtGDHCqNHcfJyLGzde2rz55uNQ2isrkx599LeIiJ2jRyevXt3V0EDtP/P004bu7j6JtwUGDkkV7igXVl+gVnzpI2lBUsPJhn+RseF4Q/mP5QBw6YtLOetzAOBI/BHlReUQlfdu0l7UfmbWmZuPk/ti7oBNPVwurBnkM/NAUuPJxsFykQR57vFzA75U+GmhIlMBAEVfFuW8mWPWm7c7be9zuMMTD9cfq7fsbClo+d3zdwBQNajSn0undkpOS/aG7W043mDoMpx99Oxv7r/tGbGnamfVYIe7hj0j9uz2300SNzD5ifKi8vDEw5ZaAIC+Q5/2VNouv12/iX87MuWI7JzsGgWw5EKQOwGai+qWaMlpcRw98KqRE36bgLMGHbunMmpkA3RBOko6bHxtAEAj1XRVd/27o1N6R1CmKQnjwKu+kASZ+kiq3xN+0d9F0zi0is0V6Y+lT0+Zfo3IdxHbEbYJpxMAgDASzVnNaSvTnMc724+yv9XHtbyPCIIgCIIgyGCaLzb7PebXf7/HAg+zcdBBE7POjGHYgEscayRXO8CKNMVgHWDk9pv20080Fmu4S/E3JEGceuyx4EcfnfT113Q2u3jLlpTVqxecOAEA8sxMot803wlbt95pVbhJJp0JMBjwqxT1XhTXlfsvMqokqs6KTgDwWeRz/y4gBAAAPG/eqA9H3WSQa5zuhoVJZxqsPFHvRnHdBv3MKLIUgmjBgC+1FbXZ+tsCgPdC7z6fmWscjmJUG5VZPT9RVO2sinwnUjxTfPGti/p2/aLCRR0VHSfnnBTECmy8rl6bWw43GGW2EkjAcEyRqXAZ53KNlL3ZBtjGfB7TuxZZr2QBwJyUOVwRV5osPbvy7PzM+VxX7oAF6F93BBlGaBB5UG2FbXmv5anr1fxAfuSnkTa+NkUbinAGLkuS6ZQ6p1inqE+jGNaMzsrOvHV5XZVdNv42oz8fbe1jDQDSk1L///NvOttUu7uWMBKtua02ATYj3xlpN8IubWXa3KK5uBVe+0dt+Vflxm6jyySXiI8iGNYMS8bqbdVaufbcg+e6q7sdox2jNkbV7alTnFe0FbSpGlSVP1QSBoJpy3SMcqzeVm3SmNovtfO8eaM/H20bYmsJMli9WvNay74uoyKoG9SGTsOZeWfidsedmXNGNFtUv6+eyWeGvBLi8YCHVqHVSDXey7wZPAYABD0T1FHSYVQbGVyG5Lik+KNiQ7tBECeI3BjJ4DFSZqf4Pe5X/HFxwNqAy99enp07GwDMBvPhEYenHJ9CEmSfViraUMSyY0mTpMJ4YdCzQZbi9ak4w5rRcLCheEOxvlXP9eRGfRrlEOEw4BvRmtea92qeVq51ne5q1v3tJGvoMuS/lq+4oGDZs0LXh7pNd+v9Ks7ABRMEXHeuRqqxH2Xf/w0lzETxhuL6vfUMPkO8QNyS3TLxj4kps1PCPwy3H2kPACmzU0b9d5T9KPuyL8tqd9UCgNdSr5AXQwDgyo4rZV+XmVQmp1in6E3RtbtqqfcRZ+Ku01yH7MOKIAiCIAhyhyGMROH7hfUH6jE65rvCN+SFEMJAHBlzxHeFb9X2KpYdK+SFEI/5HoYuw8VXLjZdaGLZs0a9NUo0QwQA+nY9k88kjAOkbzjSoFPqwt8N1yq1F1++2JzdzHJkjXp7lGi6CADk5+QuE3su7C//eLnqpyoahxbyQghXxC39stRsMPd0gDsMp2efnnJwCscZLfI+/E4/8cTDOTm4ldXFjRsrdu8mTCbnUaMmff11R3X1uRdeWJKWBgBmg2FnVNTcgwdbS0tzN27UtbXZiMXjPvrIedQAI3Ft5eWpr77aceUKy9Y24rnn/B96SHLhQuWePYTRqMzPt/X3H7t+vUNwsK69PXXdOkVenlNYGEajec2c6bdwIRVBo1SqZLKAJUuYPB4AjFy7trW83KhWZ7z1lr6z8+iDD87Yvv3ogw+GP/ts7uefL7t4MfnJJ6kq3M52+0dapTbt2TRFpoLjxBn939HimWJJsqRyRyVhJJTZStsg27EfjXUIczB0GtKfT5edlbEd2VHvRXnM8gAAaYrULd7NrDfvDdsbsCrg8i+XWXasUetGeS/0zns/L/DxQPEMcXNec8YLGV21XfYh9uO+GUcNflEZJcmSsh/KEvYmAIAkWVK6qTT89fBLGy+ZDWaWPYthzdAqtGM+HDPMDTR8VDWqwvWF8cfijV3G3BdymzOacToumi8a+d+RFd9WqOpUUV9EAUBbflvW/2Ul5iRKjkhKPynVt+p5HrzwT8Ltw+0BQHlB6TzBeWgLplVq059Npz4zUf+NEs8U576TizPxhmMNWoXWZYLLuG/GMW2Y7ZfbM57N6KjosA2wHb9pPN+PDwCyFJnrZFdJsqTq1yrCQChzlLZBtmM2jHEIc8j/ID/wsUD3Ge5Vv1UVflpo7DK6TXWL+TyGacMEgIajDSFPheS+k8tyYIU+GwoAue/kMm2ZdA5dekbanNuMM/HOqk6tUhv5VqSlqNThBqsIYSZSHk5RS9SnFp4STRNJTkuUOUq6Fb29rN1znifbge0S68L35XdWdloGkcs2l1kO5xTp1KcdqDQ1+2p8lviYdeaa/TXUIDJhJjJfzKw/VA8AgU8ERrwZAQBX9l4p+LBA364XzxKP+2Zc15WuzJcy556fW3uwVqvUjvlgTPPF5rEfj+WJeQAgShAFPRmklqjrD9dbCqDMUrLsWQ3HGkTTRTgDp+q+b+Q+y5dx5CsjvRd6E2Yi9+3cK7uvcAQcQYzApDFN+H7C0H4kEKQPNJ3FwExaU/qq9MCnA+eWzBXNEmWuzqSWVL6y7UrsL7GJ6YndV7obDjYQJiJtRZrvSt95JfPc57hnrs6ksmubtFauVgAgOSbxfNBzdv5snifv8qarEya0l7QXf1g8bvu4WRdnESai+JPiPhnr9tWN/nJ0YnqiplHTeLjR73E/wUTBqPdGBf4nMPi5YPEC8YhXRgCA7JTMfa77vLJ5ng95ZjyRQZiJ3kEG5BDpYIkw9tuxTD4z/lA825GtlWsNHYY5BXPGfDMm/7X87tpuK6EVP4Cf+kiq5JjE0GXAcCx2SyyDy+iu6c59JTf259jZebNJgizZWEJFrt5eHftTrNfDXoSB6LzcCQDN6c1cTy7PkzdgK1VuqQx6Lsjvib/dY9Kn4oSRyH0pd/RXo+dfni+aJSr7soxK1ueNMGlN6Y+lB6wJmHNpjo2/Tful9t4xC9YXMPiMOQVzRn89OvupbF2LrverhJGQn5HrWnSOYxwHfENrf69tzmhOOJswcc/EhgODPrpV90edPEWekJww5fiUhj8bpCeluhZd4buFE3dPnJ03W9+qbzjQYHkf0QgygiAIgiD3tsqtla35rbPSZiWcSKjbXyc5JgEArUKrb9fPvzQ/cG1g3vo8AMh7PY9py1xQtCDm25iMNRm6Zh0ASJOkbgluA6a3uPjKRZ4Hb0HJgrFfjs16OkvTpAEA2WkZ1csyqU1amXZ29uzQV0Lz3853jHIMeSHEc6Fn2KthMZtimLbMaUenoRHkO4oiL6/6wIEFJ048nJmJ0WhVe/cKIiMJvb6togIA5FlZNmKxjbt72muvxX366fLCQs/ExMJvvx0wVM6GDR4JCcsLC+M2bsz673+p67i6kyf9Fi5ckplp4+FRtHkzAGS+8w7fy2tpdnbQI480nvnb3AJcFxc7f/9Tjz9ee+KEoasLw/EpmzYxuNyJX3zB4vNn793LcXTUtbUp8vLmHjhw69vmX0p/Lt3G02Zp9dLx/xt/fvV5tVwNAHWH6vyW+i2pXGLjY1P0RREAZL6cybJlPVz1cNzmuPOPn9c2awGgManRfbo7AGiaNPp2/ZKKJaHPhWatuzpho0lrSl6SHPZC2LK6ZZ7zPM+uOEu1syVjH85jnEeuG+nzoE/E+ojbU/27wpXtV0iSTLyYOOX0FOkxaUdRh+t0V8UZBTVbguyUTDRXRJrJ/HX5kZ9HzimZ4zrT9fLXPaMK8jNyl/jrvRn2OmU8l2HtZf1w9cPj/jfuwpoLGrkGAC5vuTzl9ykLCxZ2VnXW7KshTETyQ8mBTwYurV3q9YDX2ZVnqbyWt77uUJ3vMt/FFYttvG2Kvyy2BG8tas19J3fqH1MfKnuIMBL57+dT+9Uy9YD3KQevCXaLdxv78Vhxorj/q4N90ig4DZ+ya4qNj03C/gQqTvSn0eJEsXCCsGZPTXd9d+PJRrVM7TDSYcDDDdgOhJmo/bPW92Ff70XedQfrqLGX+iP1LXktCwsWzjk/p/T70s6qzo6Kjpw3cqbtnfbAxQfay9orf63sXzy3KW5Z67LKt5SrJCoAiHgzwnmMc5/6ln5XOvKVkcFrgi25qC/j4suLQ58NzX41GwAqt1e25LUszF8Y/2t83cG6wVoDQYYQGkQeWGtuK8eV4z7bHafhvo/7GtoMqloVADiPd+aJeQxrhiBOYOw0tua2YjRMvECM4Zj3cm+1RK2qV7WXtNsG9zyDwLRjus5wxem42ww3Y+fVmdckxySeiz35/nw6hz7ilRHSY1IA6J3RZZILV8SlW9EdohyuMWUbV8z1We6D03G/x/xIguwo6egdBAAOBR/qmfnXfe+ldy9du9Yj1o2gsWiOox3dZrnJTsoAIP5ovDBeWPF9xeGww2fmn6Em82081CiaKeL782ksWsCaAOlxKZXdd5WvXagdjUlzne4qOy0DAGmSVDxfPGArAYDrNFfhZCHd6m+3w/etOA6JGYnOsc5mvRnDMUtT9H8jOC4cj0UeOB33/z9/luPVp8kIM9F4pDHomSCcgTuEOzhFO8lPywGgo7Rjv9f+/V7793vvT12WOuq9UWwn9oBFbTjYEPxiMNuBbSW08n3Md7DWqz9Q7/eEH9OWyXHmeD3sJTkmoVvRcQbeXtyO0/Eph6d4P+J97fZHEARBEAS5ZzQebgx5IYRpy7QSWgWuDmw42gAApJn0XeGLYZh4jtjYZSTMRP2h+pDnQnAG7hDh4BzjLD0tBYCmC02CCYL+6S3BCSMhS5aFvhqKM3CnMU7CeKHstIwwE0a1kbq1DQB8VvhgGOYyyaV3RuSO5RAc/MDJk1yBwKhW4wyGobsbw3Hx1KnU8G796dPec+cCjj949qwwOtqk12MY1n9uYkrcF1+ErVkDACRBGNVqkiAAgGVnJ542DafTPaZNM3R1ESZTfVJS+PPP4wyGeOpUx7CwPkHm7N/vPnFiyZYtv48efXTx4qaLF/skMOv1o9ets3YfdBhreBFGojGpMeLNCJyBC6IFoqkialJalj1LPFuM03GPWR6GTgNhJmoP1I58eSTOwJ2inFzGuTSeaCTMhEllYvKZAECaycBVgRiGec33MnReXW5Hma3kirheC7xwGh68JljXquu60tU7I3I9vJd7j/nfGDqXblKZaGyasdtoE2BDt6a3F7YDgPyU3H2eO4ZjCRcSnGKcel8Rk2bSrDYzbBhDWBjCSDSeaoxY3+szk9QIAMKJQmtPa6YN0y3ezdBpUOYoMRrm86APhmMBjwWoGlVdtV09p18+E6jP2CwxTsfFs8T6Tr0lPjW4bBdoR+fQI9ZH1B2qA4DWolb70BueUrL34W5I4BOBaqn6QNSB0w+eDlkbYuUywL13g7WD/ILc2sua78t3DHdk8plNqU0AwHZg6zv07eXtPHfeculyvh+/9kCt7xJfvh+f48yZ8N0E+xED1C76s+jwN8IbTzYeGH1gf8T+qt+qqN9gehMnikXTRAzu1beYNJMBqwIwDPOc70l9GWv21oS9FMbkM218bHwe9rnR1kCQfwFNZzEwnVJn5dZzQsEwzMrNSqvQAgA1XwQAYDQMADRSjb5ZnzQ5idppJbQydhqpkVNqj+0IWwzDAADDsb/Fb9bZjbDrySWy0il1JElKT/TKaDnQ3zP2YSW6etbjenC1cm17cbslCADMK5tn6UlXbqlszhx0STcMxyxV5nnwqF/bGFxG0LNBQc8GGboMtb/Xnlt0bmbGTLVULU+WW2rNtGVSpzzL7c9uM9zKvykPfDpQdloWfyi+Jbulfyv1Tt9bn4pjOFazs6bhzwamHZPtyB4gGQ0DAJ1SxxVz+1eEeok0kanLUi17CBNBReiZE9lENBxsyH81XzRTNOAbqpVrLcEHLDNVfY1UU/pZ6eVve34Zto+wp1vRR385+vK3l3NfyhVMEkR8ENG7YAiCIAiCIPcwnVLHFfX0oLgirrZJCwA4E+f786FXF440kWeXnLXkIoyESWPC6TiNRTPrzX3SXw3eomPYMKgp1wCA687VNmmbM5udo3se7qZZ0Wy8bQCA6oojdz6z0Zj1/vuKvDwbDw+jWk3t9EhIuPTdd2Fr1jSmpMzeswfD8Yrdu68cPsyyteU4DroGjOLixaLNmwmTyTEsDP76ADgEBfVcl9FoAKBtaWFYWzP+moCC69L3jk4Glzty7dqRa9cauroq/vjj+NKlD549ay0SWRLgDAbHyWnoGmCIaZu1TBum5TvCE/M0cg3PnecQ5vBXO2AAoFVoCRORtCDJkpEwEk3pTYLYnjlqcSZuG2gL/b6DGoWGJ+JR2xiG8dx5GrlGLVNbMl51AyuQ3Xe0Tdri94s1Eg0/mG/Z6TrDVZ4sZ9gyCANhN9KOJMm6XXWSQxKGLcNyRdyS3eIwxmGQqP+2MH0+M+49YwL2YT3DoNQVurpRrVVq/xz7J7WT68o1dBoU6QqX2J4vUZ/P2NX4Cq3lzl+emKdVaEmSrD9S7/1g33ut+o+o9tH7cDckZWmK5wLP8NfCNU2aUwtP2YfZU/O3/K2cg7RDzd6a1sJWatU+Q7ehdn+t6yRXl/Eu/iv9U9ek6jv0vot9R384Wi29eoOzXbAdALQUtPQ5BIZhvkt8fZf4Ekai/mh99qvZgIHfsr89om35A2qBM3HbgL99GTVyDdf9r7+zrlx9qx4Q5BZDg8gDYzuztTIttU2SpEauoZ536zOky3ZiswXs6Wd71pprzW/lB/HLvy238euZWGewbivbiW1ZPU8j1bCcWBiGdVV2Xc14zbFjC41U03ub7czuHeSGkASplWmpUU61RG3taS05Lqn9vXbCbxMAgGnDDFgTIDstU2Yo2Y5s1wTXqI1RAGDSmLqru/v8kXAe75z1VFbTmSauiMsVcVU1qv6t1Hi0sc8flQErrkxX1u6qnXp8KtuJrUhVlH5eOmAytoCtbuzpa5IkqZVrLS+xHFgAELc7jiPgAEBXVRfLntVa0GpJgNNxz0Wel969pKpVDfiGshxY6kY1P4APAG2Fbb2aDACAMBJdlV0AwHZi+67ypUbwtU1as85s6DTwA/hTT0zVt+oL3yks/1955EdXZ3FCEARBEAS5h7Gd2RqphupBqaVqqifWpwtH9dPi98ZTr3ZWdrIcWPIzcuFkIZVgsC4x25Ft7DKa1CY6lw4AaolaECuQnJAEPdOz0gYaO77rlPz0k1GleiApic5i5X3+ObXTNTb23PPPS86d47m58UQiWcb/s3ffAVFc+QPAvzPb2GVh6bCw9N4RELH3oGDFElNMTDHl0rvpl+RnzpRLT+7SLIlGYxdRBJUiCNK79A67ywJL2d5mfn8Mt66wYIvRmPf5a5h9fR4w7+3Me/mN+/evOHKE7egoPH++7Msvx6ej12hyXnhh6W+/OcfEEDpd04ED1HkMv+wdXAs7O61Mplep6Gw2ACh7e00/bT91qnH//ru2bwcAprV1+ObNXZmZogsXrNauNYYZk+Dthu3I1o5oqf1sAEDRpXCZ5QLjh1EOFgCwJGUJ9UjmUP2QhYNFxccV4S+EUwEm+h3kOHMUPZfGX4oeBceFU/djnTEi/G/ryoHqAXMJIAAAFW9WuCx0CXgyAMOwnDU51EnXJa4Vb1QwrBmCFQIA6Mvv6/i9Y17KPAtHC0mepO7zOgAQZggDnphwG6TrM6bPyLvlLrNc5O3ysX3GyYLjzFlduJr6UVIssQu1K3qrKOL5/z3OP8FvBtuZrege7TPyLrmFkwWGYUP1Q5e2kvtfn5HWSPmz+ZMUteNEhzE7pg3TdPJUI9Ww7MzvcknoCdE50axvZtE5dGsfa48kD2GWcPwkstl2MGgNHcc7kkuSrTytAKC/oj99Zfr0z6crxcqAjQFRr0QNNQ5lb8ruPNHJdmJTk84A0Ffap+hRcN25pumrB9QHIw/e234vTsdxBu692nuofkiUKxoziTx+tmT8LyPbia3oVtgG2QKAMVMEualu6/98t5B9rL2iW9GT3kOSZMvOFiaPyfXmmg2mG9EJM4SEgWjd3XrhHxcU3QqzIccQLBW0/94ua5UZNIbaT2sFiQJ5u/yKEQ2a0f3iCO3o31dFh6JtbxtJkC2/tpA6kmHNuJrcTVMwPa79dy2hI6QV0u7j3a4Jro7THKUV0tbdrTqZzqAxiDJFw3XDjvGOgkSB8JRQ1ibTK/Xlb5U37WgakziNRXOZ61L+drn7SnezrYTRL/vzpx3S9peM/XaOopfpGVYMhhVDJVY1/LfBtNimHGIdVCJV59FOkiCbf25WSy6tekxj0viL+I0/NBIGQlopPbvsrNnlQVh2LL1Cb7aorne51n1Rpx3SqvvUXSldVHg6l95zqockya5jXXq5HgAESYKWX1p0cp1Kosq9P7e/uF/eLj+TeEbVq6Jz6QxrhkE1evmM1xFBEARBEORO5b7MvfbLWp1cp+pVNXzf4J5k5q1/GpPmuti1/r/11H1axtIM3Yiu53SP66Ir7B6BM3D+An71p9WEgegv7RedFbkuclWJVWbfTTYyvQejNrsfrBmkBt7GA+RW0cnlbAcHGpMpra9vOnyY0OkAgMZiuc2efeH9932WLaPCMKysGNbWit7e6p9+IrRaANAMD/eWlRnTMajVJADH2VmnVJZ99RVJEFRSY9CYTMGcORXffEMYDN05Of01NYBhJEH0lpToFAqXuLi+qqr6ffu0MplBo+nKzpbW17vEjW4EZ9BqxycIAMboxoM/vJWuHs7ABYsF5f8qJwyEpFjSddr8ArI0Js19iXvNNzWEgegv7z++8Lh2RKsUKS35ZtaoNeU0zUneKe840UGSZN2PdUwbprWvtTEig8voLepVSVQ6ua71YKsxFvV7NwZJkL0FvTq5znhwY1X/K9HL9RxXDhAgTBcOlAwQOgIA7KLtNAOatj1t1CSyXq6nc+nUiLjphyZqRKzuVbNd2ABAEuRA8YBeoTceXHdhcAYuWCSo2FZB9Znu093ud5npM87TnLUj2s6TnYSBaNjZkPNIDkbHlCIlh3+Fl249l3s27Wkabh42aAzlH5Z7rfAaaR2hXhkBAIYVo/tMt16tH24eFueJjbHMjp1Ns/NM8qz5ukaYLTRoDMNNw2Vby7xWe43Gvby/4XTcIcah9j+1OplusH6w41iH01QnAJBWSxVChTE7s+3QfbrbUmBJzSADgH2kPY1FE2YJ2w61ZT2YZdAY2I5snInrlXrPFZ5Ne5pG2kbUA+rCLYXGeXMjC3sLuzC7Cy9fUIqVhIGQ1kjbDre5LXCbpL4TNukKz+ovqnUKnaxD1nqgFdCXp8jNhyaRzaOz6TN/nnnxs4vHQo91pXRN/2G62e9g6Rz6zJ0za/9deyz0WOve1hk/zRCmC92WuF0xfdsI27DXws7de+7E1BMYjoW/Ht5zqmfyiM5znCvfqxRmCO1j7EVnRdXbqgHAPtZelCVKCU9p3d0646cZojOiq8ndNAX+Yv6ZpWfU/WqchbP57BPTThQ8VjBl6xRrf2uWPWv2ntldqV3Ho4+nRqfWf1s/c/tMrifXNsI2/I160OhCAAAgAElEQVTw3HtzU2NTtcPaqHfN7InsttRN0alwX+5utpXGPBvSX9J/bsM5s0V1Wehi5WOVGpOae3+u1zovtUTdvLN5fDCaBW3GzzPqv6k/7He45dcWxxmXvVkW83GMrFmWEpFy4YkLMR/HcL3MzLNbellSqxiPL2rA5gBeMC9tZlr2mmzB8tFX2EKeD5HkS46FHmva0URlRy0JfWr2qdOLTrssdPFc62kXaee7yTdjYcbxKcflbfLwLeGm1/GKlwlBEARBEOSvK+CRANsw29TpqekJ6Z5rPKnbwvHiPo0baRo5EnIkb3Ne3L/jLN0tDWoDw+rKC33GfRo30jhyJPTIhWcvTP92urpPbRc52cKaDlMdhGeElR9WAoDbXW7pi9NVElXhC4UdRzoAwHiA3CqhDz3UX1Ozd9q0oq1bo555punw4b6qKgDwTEiQdXV5JyYCgGDePJ639+8zZmQ89JBfcrKyv7/u1197S0vTH3jAmA6Lx4t+7rljK1YcXbaMZWXlvmBB7iuvmM1xxv/9X19V1d74+Nbjx51jY5nW1nq1OnXduuHWVgs7u4QdO9pPnNg3Y8a+GTOqv/9+0fffW3t4AID7ggUpK1eq+s08AWOMbjy4KS111WZ+NXOoYWiv797cJ3Pn/jDX7N5lVLDhxuHffH7LfDBz5lcztcNa+ylXXieBzqYv/G1h+b/K93juaTvctuDXBQOVA8aIjlMdfdf5Hp15dF/gPtd5o98JOcU5daV3lbxfMiYpvUqfujh1uGnYeHADlf6LCX09tGZbzakZp8RnxYFPBZa/Xk4aSAzD+Iv5NBaNF8QDAJf5Llwfbtq0tPwH8z3WeKj71DX/qrEJH31616A25CTnyFpkxoMbKc+Mr2YMNQzt892X92TenO/nmO0zdA590b5F5dvKf/P6rfGXxgW7FwxUDDhMmXB5GSOHKIeYd2IykjP2h+zHaFjMuzEdqR0ey0aX4vS/z59hydgfvD8tMc1n7egCF64LXIveKOo8ednm9v3l/abZBW0O8t/on/9i/h6PPRlrMgSLBVNenwIAVl5WNBbt5NKTpnHnbZ830jyyP2x/xuqMgAcDfO/2BYC8p/OorzqM2Y1vh7aDbabPLGMY5p7g3na4LejhIJYNa6//3kMxhxymOPje7esQ5RD9ZnT6yvRD0Yd4/rzgzcHjm2LBngV6tf7o9KN73PfkPpEb+lSo73rfieo7ieDHgnl+vAPhB849ds490R0tR478CdBXFZesF62/1UW4NuIsceOPjXN+m3PjSRk0hqNBR9e0rbnxpO5svbm99d/Uz/197q0uCIIgCIIgyG0HwzAajXarS3E7opb43Ou091YX5NZ7pqkJAJT0S8sq/hIWdk9RkXF54j9N8Ucfuc2Z4zp9unpw8MC8ecnp6eNXRv7LIS1PYpyyK4dDxiFxEgC2c7bfjMRXdq0EABqM/nkcrBosf718wYkFNyOva2VpbcnA/8gN+pA/TdOeJr1SH7w5mNATp5adCtoc5LNm7ALTCPLHQmsiIwiCIAiCIAiCILeAvKeHMBhw+i0Ylgrmzq3+6aeirVtJkpz29tt3wAwy8lcha5YZ921DkOvGn8sveaekaU+TQWNwnefqtdLrVpcIufOhSeS/MF4oL+iZoD8kKZyBx30V94ckdWfjBfGCnzPzQgqCIAiCIAiCINfqzOOPT331VRrzFryFzY+P58fH//n5In9z0gpp2562oOf+mIE88nfGFXDnbZ93q0uB/L2g5SwuWduz9sqBbhukntSr9ACA0TE6+0a/DDDuNXc1K9D9bZEGUq/UAwBGw+gc9AUMgiAIgiDIZTAMG7P1BQIAGHDo4MkiIyxg+q0uy23AoDfgPSQmNdD7ZZ2dmsEhALDy8GDZ2tzqkv3lEeSIHhMbQEwC2iXy2mCEPegFpDqUVHvfjPQN9HqSWQv0LoNuQNml1Cv1NAsax51zyweVDAaDyWIymUwcQ9tlIQhyZWgi7BJqqbK/DBrQuaOX78ZL/gcmdSfDUUMhCIIgCIJMCN0gTUBGx+wsMDSDDAAANDpOuup4P2MA1pde8Ku+hSW6Y9AAlHKZRq251QX5K+pmyNfTyMk257wRNH0QCdbAuUhjMplBt9HuZwRBsNlsBh09SYYgyFVBXzchCIIgCIIgCIIgCIIgCIIgE0KTyAiCIAiCIAiCIAiCIAiCIMiE0CTyDSl5ocSgMYw5Kc4Wn990fnzg4frh+q/r8zbmic6KAKD+q/r+ov4bzLrwyULjcsZXpOhWlG0pM/7YvKN5oGTg+nI3aAzHAo+NOXnE7wi1ZPDkaj+prf+q/mpyoeqYmZQpTBcaTw5dHEoJTYHLqzN5Y2qHtaWvlJ6IOZESlpK1IkuSJ7ma3K/DmYQzpkW9ejX/qmn4rsH4o9nmvQ6SPEnuPbkAkLUiS1ouNRum6v+qDrkfOux1+LDX4SM+R04vPC3OFN941lc0pjciCIIgCIIgN+J7Hx+d8gor4R5avlxSVWV6RtbdnfPaazezXDeXtFZa8UnF+POSYsnR2UcniVj739reC70p81P6yy8bRMg6ZXnP5lHH5R+Xi/MnuzGmci98o/An7k8/837+mffzdtvth6Ye6srouvaq3HbKXiobP9QFgPwH8ycfL0wUUXRG1PpLKwA0/qexZmsNAOSszplokHILGbTag3G39Z7zTdub+ouvfybh5jn90Gmzlz4lMaX9RPtEsUiCTL8/3exHxVuLhXlCACj9qDTv1TyDxvAd57sx2f0e93vrsVbjSUmp5EenHwFgpGMk68ks6mTHqY5dfrvajrdpR7Sn7jn1g90Pu3x21e2qu55KTuzgnIPC89czG4AgfyFoTeTrZ1AbAAMai3aV4YWnhG6Jbi4LXNh8NgAM1Q5Z+VndYNaS8xJCT1xtLIXBdNZYWir1fdD3+gpg1sxfZl59a1zRFZvXtDqTN2bl25UAMO/YPI4rpze7t/DJwkUZi6irgACA3yN+kf+MBACdTNe+r73wqcLl1ctx+s39hmlMb0QQBEEQBEFuxLJff6WxWNcaS6dQiIqLb0Z5/hwdxzu8VnqNP28TaDPj8xmTRJQUSkIeCxl/Xi/X917opY6lVVKbgMm2+6Nyb/y1MeypsPiP4gFAO6Jt2NWQ+WDmxq6NN/t2+qaaZCwW+mqoBd/iOiKqelTyFjkACJYLCN3VjmGR8fqL+/02+d3qUoylV+sxDDN76ad/OJ0r4E4UUXRexJ/BN/tRf2W/bZAtAPhv8Ce0l/WZSbKj6OQ60XkRdVy3q2761uney73Pv3ZeLVVvbNw4WDd4ZPER19muPB/e1dQOQRAKmkQ2z6AxpM9KD34huPbj2qWFS1MjUlc2rKTOp4SmrG5eDQC953qdZjvlbsh1T3b3Wu8FAA3fNgzXDXus9aASkbXIcjfkxn0b5xDnAAAjDSPBzwef33TeZ6OPokPRe65XWi7FmXj9V/WOMx07DnQAQPib4ZI8SW9OLy+YF/d1HNOGKa2QVrxZIe+Q84J40R9FW/laGbMufq5YN6zLWZ0z58AcGotW/ka5JFfCtGOGvR7meperqldV8kKJtFzKtGFGvB3hmuCa/0i+SqTK25g369dZ2kEtw5qB4Zi6T122pWygaIDlwAp/I5y/mD8moluiG6Ejav5V03WsC6Nh3vd5Bz0bZGwovUqfuz7XbZlbwOMBBQ8VJJUn9Rf1d/zeQeiIgdIB6wDriHcibEJt1BJ1yUslg+WDvGAeR8DhenPF2eKW7S16hX6kYcQuxs7nAZ/aj2t1Q7qg54O87/E21nGiC0QaSGN1XOa7mDam8zzntt1tJEF6rvMMez0Mw7GBsoHI9yItBZYA4LLAxedBH6VIyeazRxpHyraUyRplVgFWMZ/GWPlY1fyrhmnLFGYIneY4Nf2nadHpRZYelgCQd3+e61JX9+XuYxpZnC3uPNRJt6SrRKqZu2YaO8+pmaf4C/k9aT0WThaR/4ys/7pe1ixzS3SL+iBKnC1u3dWqV+oHqwatfKyiP4m2CTF/b9r8c3PzjmaaBS3o2SD3Fe66EV3xC8V95/twOu6+2j3y/UhCS6TPSve+z7ttdxvDhkEFI3RE1ftV3SndTHum2xK3MWn2pPXUflSrHdQ6zXaasm0Kg3vZFgoMK4ZHskfVe1U6mY5lyxofeKhmqOy1MkWXwmmmk3ZYG/xCsF6hb9nZMnPnTAAQZ4ubf26e9ess3Yjumnrj1f5aIgiCIAiC/PUZdLoLH37YdPQoTqOF3H9/zHPPdeXk1O/bZ9BqxaWldoGBM995xyEsTDMycm7Llu7cXAs7u/g33vBOSDCm0JmdPT78yU2bNlVW4hxO/e+/l3z5pU4mc583b86HHzKtLnvSQlhQkP3yy+rBwcB166a+9FLaww/LhcLU++9ftnv3n94Soxp3N1Z8VKGVaQWLBDM+m8G0ZqbMT/G7x6/6q2pCS/jf5x/7bixJkOXbyht2NQBA4KbA6NejqbjSi9IpW6aMDz/SMpL/Qv6q3FWEjih6p6h1fytGx4IeDop6NQrDMLVUzeQxMRwDAFGuKPcfuZpBjd+9ftFvRp/ecFrRrTi1+pT7Xe7dZ7slxRIai1bxcYVgsaDupzqSJAPuC5j6/lQqLpW7aV2Y1ky/DX6FWwq1w1oL+wlnWv8c6j515RuVA8UDLHtWyOsh/EX83pzezv2dhI6Qlkmt/K3C3wrnhfJ0I7rKtyoleRKWLStkSwh/MR8AJLkSx1mOBo3hzNwznvd6tu9pZ9owA54OECwX1P27zut+L5cFLoOVg5VvVSo6FNZB1lH/iqIGqlTE3pzetl1t8dvjAaA3p7dle0vQc0GN3zQatAaGDYPBZaj71GFvht3a9plc3fbtjb/9htNooU884bN6debDDwfcd59g4UIAKHzzTZvAwMAHHrjuxAkdUbW1quNIB07Hfe73CXk+hNASJ6af8L3ft+XXFqYNM+T5EI+VHiRB1n5W27a3DQB87vUJfSkUADSDGqr3nkk647nWs+G/DYSO8F7vHb4l/MZrrexVZj2RJcwTsp3YM7fN9F7unf9GPo1Jaz3WqhQr3ea5Lfh+AdOaKb0ozXwic/DioG2I7cKfFtoG2AJAZ0an+yL3jvSOuh11Bq1BXCC2C7Wb9eksxyjHC+9cCH883CvJq25nXfHWYu2I1iPBY94385jWTABoOdYy5fkp+W/ks+3ZU16aAgD5b+SzeCw6h96Z0SkuFNNYtKGGIUWvYvoHl7YnpbKbsIUNxInVJ+Rd8pSkFM8lnh1pHeICMcOSMVAz4Jfsx3Zgs2ezbQNsB+sHjZPIBo3hF/9f4t6JK3ir4FHxo+Pr2F/Vf/aRs4P1gyw71rR3p4U8HAIA4gvirCez5D1ynxU+BrWZp7AR5A7zF/529GbTDGoGSgbmp8yfKID4rJi/kO+6xFV8ZvR1HmG6ULBCQB2relXnHzwf9UEUNYOs6FZwBBxjXL+H/ZznOEf+M5K/iA8AsiZZYlFiwBMBxc8UO891XpK3RK/Q95zsMagMBY8WBPwjYHnlcrdEt8InCqk9r6msp345lcFjzD0y18LRouLtCgaPkViSGPtZbPEzxep+dcPXDZbulssqloW/FV75biVGw2b8PIPrzaXm7ERnRFTW5a+XW3pYJpUlxXwSU/xCsUqsGhMRAFp/aZVWSBefXTz/2Pyuo13CtNF3NAg9Ufh4oX2cfcDjAaYt03Oyx3OtZ2JxIteLS63SULalzNLdMrE0MeTlkK6U0de7xJniiHcjEs4njDSOXPzk4ryj86I+jKr7rM60eSdqfNPqjGnMnpM9CzMWLjy1UJwp7jjYAQAu81wq36ls2dWiFCoBIPTlUPtoe0JP5D+U7/uA77KqZYJlgsInCqmUm39qDnomKOCxAOd5ztTCIzq5rr+o3y3RbXwjA4DotMjK1yr281jT4qnFaitfq6SyJCtfq/Obzsd8ErPw1MKO/R3yNjkVRbBcsLx6ucdajwuPXSANZvYx1yv0SpEyITch5MWQ6verAaBlVwsQkFiSuOjMou7U7qGqIQBQS9TaIe3S4qUBTwRU/bMKAFp2tkjLpYuzFs/eM7v7eLdpmvI2edmrZfE/xC8tWkoS5MVPL47JVCfTtexqsZ9qz7JljQ9M6IiCRwp8H/JNKkuym2InOTfhqiDX2hsRBEEQBEH+Pmp37ZKUl2/Iyko+frzpyJG2tDQAaDlxInD9+gdLS3leXmXffgsAuW+9xbKxeaCsbMEXX5x5+mll/2Vvr48PT+mvqSn48MPEnTs3FhURen3hRx+Nyb3t1KnkY8dWHzlS9dNPss7Opdu387y9b+EM8kDVQPHbxYv3L95Qt4HQESXvl1DnWw+2rilak5iWWPVF1VDjUOPuxq70ruQLySvPrWw90NqR2gEAsk6ZlYeV2fDG9C/+cLGvpG9NyZoVWSta9re0p7QDQGdap0fi6HM/HakdyzOXJ2Uk1X5XK2uXLd632NrPesmRJaFPhgoWCuI/ivdY6gEAbcfaki8kr85f3ZXe1fRb05jcjbQj2rof65ynO9/yGWQAqHyzkuPBWVK8JOrjqLIXy1S9KgAQpgk91ngkXEjgenEb/9sIAFXvVjF4jCWFS6L/HV36XKmmXwMAvZm9LgtcAEAtUeuGdAkXEvwe86t+r9qYuEFtKNxc6P+kf2J5outS1+KniqmBqjHiGHbRdgFPB7ivdA9+MfjPqf6N0CuVsra2ZWlp07dtK9u2bbi52XXuXFFuLgAQen1PTg41m3zdmnc2D5QPLM1ZujB1YeeRzp6TPQCg7lVrh7TLy5YHPRlU/nY5ALT93iY6K0o4m7AobVHH0Y6eUz0AIMwQui52pdLpOta1JGvJ/EPz67+rH2keudFqA2Q9mWXtY/2w8OGFPy48vem0XCgHgKrvqhIPJ25s2DjYMNi4t5HQE8dXHI94MuJRyaP+6/xP3X2Kitt+st0ryQsAmg81Bz0Q9FDXQzw/XunHpcbE+yr68l/PX3Zs2ab2TYSOKHi7gDqv6FGYfU458plIj7s8Zn8223uZ9/hPjdmZhdPwpCNJNv42K06soNKZ8+Uc72XegnmChr0NI+0j7Sfa5d1yxymOprFU/SpRvmhdwTqzdcx7Jc9nlc9m6eZF2xede/4cSZJ6lf5E8okpL015RPiIXbCdpORmLZuJILcPNIk8IUJNhL0eRj2IOh5pIPVKPcOa4Zrg2pvbS2gJtUQtb5W7zHMBAL1Mf37jebspdq5LRv++C08JjcfjeW3wwnDMZYEL04YpSBLQLGiOMxyVPcqB0gEOnyNIEmA0zPchX82gRtGuMGZtWpju1O7ApwNxBm43xc5hmoP4jJhpx1T2KJU9SkGSILE4cUyOklyJ40xHQkeIM8WhL4fiDNw+1t5lnos400zE7hPdQc8EMW2YbD7b71G/nrQeACBJsuzVsuH64fC3xn7nybRl8hP4OB13TXDVjegILSHOEoe9HkZj0RymOVBTvQBgE2FjG2HL5DHtY+w91nrQ2XSX+S4qkYo0kGPqWLC5gFq097DX4cylmZNfuIAnAiwcLNgu7IAnA3pO9ABA5AeRIS+FiM6ITs8/nT43vX1/O0mS0lIphmPuq9wxHPO530fZo5R3yAGAv5jvMt+FzqG7LnEVnxUDQG9Wr2O8I9OaOb6RAYDtwvbf7M+yu/zlQRy8NnjhdNxpjpPzXGdLD0sLRwubMBtljxIALD0sfe73wem430N+QMBQzdD4WgCAz30+GIY5zXGilr322egT920c3ZKul+tpFjTqJGkgve/zxjDMLclNO6IFgJ60nuDng1l2LDaf7ffIZW85dR3rclvqZh1gTWPR/B/zp25WAKBlR8sRvyNH/I6khKY0/qcx5pMYs4EHSgaY9kzPtZ44Hfd71I/lYP59yevojQiCIAiCIH8fLampMc89Z2Fjw+XzIzZvbjlxAgAsbG29ExJwOt07IUE7MkIYDC3Hj0c//TSNwXCeMsU1Pr7j9GnTRMaEv5T4yZNB69fbBQTQ2ey4l19uPXlyTO6Ba9fS2WwrgcDG21sjk/0J9Z1c29E2//v9bYNt6Wx6zFsx7UfbqfM+63zoHDrPl2cfbq8d1rb83hL6j1CWLYvjzAl4IKDtaBsAdKR0eC73NBveNP2oV6NYtixLV8uwp8Laj7UDgDBL6Dp3dGjmd48fnU238rCy9rXWjUy42UzEcxFsJ7Yl3zLihYi2I2Nzr/1P7Q77HTvsd/zq9mvV51Wzv539R7fTNSN0RG9Wb/CLwTgDt4+xd57n3JvZCwBMW6bLXS44HXdZ7KIb0ZEGsudET8A/AnAGbhtlax9nLz4rJg2kXjE6FiMNpNc9XhiGuSa6mraPtFTKdmW7JbphNMxnk49Wqh0dqCouG6j+dYU/8wyNwXCYMsX9rrt6srNd584V5uYCQF9ZmaWbm6Xb2Dc+r0lXalfIcyFMGyaHzwnYHNB1ogsASAPpe78vhmGCZQKqqTsOdQRsDmDaMNlObJ8NPlSw3txep1mjL+x6rPKgc+hW3lY2ITaT9N6rZNAZ2k+2T3tvGo1B48/gey7xpBYydl/gzvPmMa2ZHos9NEMacYEYp+EB9wRgOBb2eJisQzbcOkwYCJ1cx+KxAMDC3sJnpQ9Ox31W+GiHLv0ythxuCd4UbBdiR2fTp703reVQCwD0VfQ5RDhca1FNs7smYU+Gybvku0N2H19+PPK5SEv+ZbM9BrVhxr9m8Lx5Zuu4eNfimNdiAIAkSJ1cRxKkKF/EdeMG3R+E0/GoF6LYTmjBTOTOh5azmBDGwCwcx32B/L9nRvsK+6hHjNl8tpWvVV9hn6JT4brEFWfiANBf2O/3iF/7vnalSMnhcwBAWiodM6NnimXPAgAMxxg2DIyGUcekgVRL1Gy30b9EGIZxXDkqsUopUlJZG6klalJPnt94aTc/Qk/4PeRXI67JXpHN4DH8H/f3feDS8sd6lR6jYzQWTSVSMawYdMvRbsBx46jEqvER1RI1x41jDKMWqwHAoDRQ2+gJTwndll72T9Qm1AbDMIDRLyk0AxqGFYNhNXozwXHnmNaaqiw1CUu9F2bavJTpP053TRi9zxu6OHRu3bmJWpIqIXVg6WGpEquopvNI9vBI9iB0hDBdWPnPSgzDMBqm7lefXjR6O87ms6n/u2zX0QbnL+SXbynXK/TCdKFgpcBsI5uGN4UzcermyVg109oZS2hayDFobBrXm2saSyVSVX1QpexW8kIuLduEM3Frf2vTYGqJ2tJ99H+hsakpyh6lOFNsrDLThkk9L+D7kK9xTeTaj2vLXi+be2Du+MBKkdKYMoZjFs7mfzuutTciCIIgCIL8rSj7+rj/m4GyEggUvb0A4BAaSt0/YzQaACglEkKvT73/fmMsQn/Z/tVjwl9KXCJxDAszJq6USEiSHL0z/1/E0SP8tnicSNWrso+0p465HlxVr4q6QbWPGD1JDY7kXfKyrWWV/66kTjrFOgFAb1Fv6FOj1RkT3jR940OOXA+uUqTUK/UY7dJSqpci4pdFHIPrPpqIlZcV9Xajae6hT4Ya10Quea/k/HPnk04lXXtj/JE0Axq6Fd040GO7sdW9arYrmxfC+1/PwQBA3acm9WTBgwXGiISe6C/st48bbRaciVv5W8G49lH3qY3jIAzDqPRVIpUx4iVm3rq83WF0OttpdKKWKxCoBwasvbxoLNZQQ0P32bPuixbdYPqXja8Fo+NrnIlbB1iDSR9W9ihrPqmp+2r0VV27aLsxvdcmbHRdxDHd/vqoJCoWj8XkMqkfrTytFEIFADhEOpjmIuuUKXuVv0X8Rp3kCriaIY2sQ+Y6a3TA7hjlaNrHjJRipUPUaFLWntZKsZIkydajrf4b/McW5Up9RnhOaMzumpxMPum/3n/q21OVImVKYopjlKPPSh/jpzgD5zhzJqpjX1lf6UelhJ5winUCbLRG1t7WVBgMx8a/moAgdx40iTwh0z95JDH6Z2y4bpg6EKWLAp4cXcOBWtFC3ib32zw6Tew40zHyvUi9Ul/7Ue3UL6ZqBjRMO6bp3dtVsnCyUAlHZxhJklSJVBbOFq27Wo1ZU6jZ2Fl7ZrGd2QAw0jTCsmep+9QR70ZM2Tal70JfwSMFxklYAOjN6nWe6wwALAeWTqbTK/V0Dh0AlEKlQ7zD+IgWThZKoZL6l6YSqqjZQ9wCj/sqrju1u3prNX8RH2eY3IZefkdK5aKT6ah5ZFWPilr8aBKmzXutqLs6AFB2Ky2cLDSDmvSZ6cuqluF0HGfggmWCkcaRvvw+92R3CyeLxWcWU4Gl5VJeEK8ntcd43RnWDPtYe3GmuC+/b8q2KTQmbXwjD1YNXsc/bGMJAUDZo7RwMvOy2/i72Iq3KlwWugQ8GYBhWHZy9ujZcTf/bGe2olthHWhNJW76kYWjBX8xP3pbNADolXpZi2xMn2RYMXzu96ESHx9YK9Uqu0cT1Kv0sqb/Pbryvx0OqN+Oa+2NCIIgCIIgfyscR0e5UGgXEAAA8p4eSycnAMAun9Jl29sDwPK9ey2dnQFgsKnJwv6yuTlsgilgjpOTXDi69Jysp4ft6Dh2DHJ7zB0bUfeu1LG8S852Yo9OP11+M8x2Yoc8HuK7zhcAFCKFQWVQ9aks7C2MtZtoCpjtzFb0KGyDban0OS6crtNdgkUCY4DJ546N5F3y0YNOOduZPSZ3I6Y1M/iR4OOLj19NmjcVy56ll+mNAz1Vj8oh3gFg3EjNjgUAM3bPoIYksiYZ057Z+HWj3xP/e/5pguaxcLRQiS4NVNUitYWTRduvbcaI40fQfyGkXq/q62M7OgKAoqfH2tcXAFznzhWeO9eTmTnvhx9uMH1qfM0L5AE1HnS2AHNd0cLRwv9hf49VHgCgEqsMaoM4S8yff2nJx6vsvVeJ7cTWDGt0Ch3DkgEAsk6Z2xy3kfaRMblwnDmWfMt7q+6lfhQXiu3D7c+/epvCovAAACAASURBVD76lejJS8Vx4ci7R3+PZJ0yjjMHwzDpRaldkB110thn+iv73eZO9qx3a0qrMTuWLUs9oDZ+pB5Qs+3NPxFM6InurO4FPy5gcBg8X573Su+us12mk8jGof34OvL8eQdnHlx9djV/Bt+gM9TtqAMADp8z0j76IghJksbaIcgd7Pa6h7g94QycJMnec70kSbbvbadOqnpVbJfRv02uCa49aT0jDSNOM0a/rqSxaQAQ+kqoMF04WD0ozBBSGxSMYdBcYeV1+xh7ZY9SmCEkSbJ1VyuDx+B6cU2zBgBCQ+BM3GWhS/NPzaSBHKwazF6ZrRvRVW+trvuyDsMxthMbSKA2MyU0BACIM8XUSlU4A3ee51z3eR1pIKXlUnGW2GWBy/iIbkvdGr5t0Ml1aom66acm16WuAIDTcJyJu692Z9owW3a1TN6A/IX82o9qCR0hLZcKTwuv2OZj6jgRqjoUY2M2/dCkGdSo+9WN/2l0W+rGsmXxQniVb1eqelWkgRyuG+5O7Xaa42Qfa6+X6UWnRaSBbPutrejpIow+9r8dP4Ff81GNfaw9g8sw28hXLKFZig5F+752kiBbd7cSesL4BTIADF0cMt6NjaGT6dh8NhAgTBcOlAyM2Z3WyC3Rrf7Leu2QVt2nbtl+2XVxXeoqTBfK2+R6pb7yncqWnWauGtOeqVfqSZIcH9g+1l7Rpeg61kUSZNvuNqoADC5joGxA3afWK/Rdx7oA4Fp7I4IgCIIgyN+KT2Ji2ddfa+VypURS+eOPPolmVvqiMZmeCxdW/vgjYTBIqqoOLV+uHRkhCUJUVKRTKCZLfOnS+v37h1pbDRpN8aefUomPdHVJGxsnimLQjr5v3l9bKxeJTA/+BF4rvBp3Nw43Dxs0hrKtZV4rvcwHW+lV/3O9VqZV9irTV6f3XujtPNnpmeR5NelXflpJRaz5tsZrhVfXqS73hAn344LLx2jG45qva9QDapVEVfV5lddKr0lyt3Cw0Cv0JEmSBCkuEFOvvVMHVyztHwhn4E5zneq/qKcGer3Zvc7znc0EY+LOC5ypW/eh6qFzyef0Mr2qV0U9DjIJuxg7VbdKdFpEkmTbL20MHsPSy9IYkc6lS8uk1Bih53iPMZZBa2b8SxLkQMmAXqE3HtxY1f8YNd9+S+j1A1VV3WfOUI8eu86d27hnD8PS0trbGwC0w8P9FRWmB1dPkCio+7pOJ9epJKrGHxoFiQLzwZIEzb80U8HO3Xeuv6hfeEY4yb5B2iFtf0m/6cE1oTFonks8i94vIgyEuFDckdbhleg1PpjLDBfNsKbteBthIGp+rEm/Lx2n4wqhgutqZl1jUz6rfOp21g01DRk0hsJ/Fvok+wy3DPP8Rt+yZXKZHekderV+qGmoJ8ekz5ibMzHNzmeFT/ln5V1nuwwaw2Dj4IV3L/it8zMbF6fjzlOdK7+q1Mq00ovSlkMtLtNcAKCvsk/ec9n87/g6EjqCJElLV0udQlf0fhFJkISW4M/gy7vljfsaSYKs+rpKKb7sES4EuSOhSeQrw3As8t3Iircqjocfx2gYg8sYrBq0jbA1BrD2t6axafy7+GMeSrVwsgh8MrD6/eq+/D7j/LKR0xyn6g+qRacnuz+jsWnxP8bXfV6XGp7andod/338UM2Qadb8RfzMZZnqPnX0tmhZsyw1KrXwH4VTtk3henHDXg/rO9+XEpqSd19e+Jvhlu6Wlh6WOAvPXpttUBuMi0tEb4seaRpJnZJa8mLJ1C+mcvic8RF9N/nahNhkzMvIXJbpscrDLfHSt4IYhkW8E1H/Rb3pakfjTflwirxDnhqZmndf3kT/I40Gqy9r3olQ1clZlzOmMZ3nOmevzD6z6IzTHCevu70AIP6HeIPacPausymhKSUvlPg/6u+x2oPOpk//efrFzy8ejzjevrc9/of48Y8SuN7lquhQuK9yN7bVmEa+YiHNsouxE2eLU6NS2/a0xf8Qb/oQd9krZcaNB8cIez2sdltt2vQ00RlR4FOB5a+Xm92Rz+cBH9tI24x5GWnT0hynX7ZRgG24bdiWsLyNeWlxadphbcTbEeOjWzhY0Jg00WnR+MB0S3r89/H1X9WfmHJi+OKwbaQtANhNsfNY5XF26dmTU08aF+e6+t5IXT4EQRAEQZC/j7CHHnIIDd07Z87BxMSA1at9ksyvezDv44+Hmpt3RkRkPPHE3I8+4nl56dXqI6tWDbZM9vSGY3j4tNdeS73vvl/i4jAaLX7LFgCo2bmzYOtWs+GtPTzoLNbRNWsAIOvll5uPHTM9+BM4RDnEvht7atWpfUH7MBoW+89Ys8FCnwi1j7I/OOXgkfgj7gnufvf4CXOE/DkTzqaZRrSLsDs45eCxOcd81/t6LPMwqA2TvBZp5W1Fs6CdWHICANwWuBW+XthxsgMA3Ba5HV94/NC0Q24L3QIeCJgkd7YTm8aidZ7s1Kv0qYtSh5uGjQdX1SJ/nKgPo+TN8rTYtPKXy2M+j2Hzzc8LR30YJW+Rp8WkFT9VHPlhpG5EZxNuYzakKZoFLe77uPov6k9Gnew50TP1u6nDtcPGiHZRdoKVguyk7PT4dMcZo0MSuxi73qzei5+M3dzboDbkrsmVt8qNBzdQ6T8Gx8UFZzCO33VXwWuvTX3vPWoFZKeYGL1KJVg8+iZrf0VF9mOPmR5cPf+H/W1DbdNmpZ1ZesYz2VOwzPwA2f9hf9tw27RZaRkLM/gL+e6r3U0H8uP1l/Tn3J1jenCt5v93vrRO+jP/5zMPn1m8a7HZ/e4YHMayo8uK3i/6yfGni9svJh5M7Cvrc4oeO90xnlO0U/wH8ceWHtvptROjYTO2zmg92mp8EDhoUxCDy9jpufPw/MMB94y+lOy+yD3v5by2422m6UhKJabZhf8jPOShkOynsn+w/yElMcVziWfcO3EAwPPh0Sxoh+cfNo2b8FvCUOPQLu9dx5YeC30kNPC+QADI3JzZtK9p8jqy7djT3p32+9Tf90XvY/FYXkleZx4+Q7egJx5KLP2o9L/W/635ocZt3g2tlI0gfwl/5OsPf3Vrutfc6iIgNyprRVbke5F2U+xudUEmJM4WN//cPOvXWbe6IDcqOzk77PUwh6nXvA0CgiAIgiDI340FNoeHrbvVpbhdkKROZ/PBrS7FNUiZnxL/cbzT1CtPk91yMrlMo9bc6lL8JTHkL9LIK4wiUxYvnvPNNzaBgdeRPkkXgs3P11W0m8vWzpZBvxP2QkQQ5E+A1kRGEARBEARBEARBEAQxj9DpRHl5dAuL65tBRhAEuTOgSWTkjhLySoill+WtLsVkbEJsAv9xJ9x5hLwYYuWL9p9FEARBEARB7nAxb8dY+1jf6lIgt1Lz/v0Nu3ZN+/DDW10QBEGQWwktZ3HJ3eK7b3URkBuiV+qpZYLpHPqY9alvE6Se1Kv0AIDTcWr3xb+o27+pEQRBEARBbhMYxmFgrgyMT8euvNTsHY8EksQlJE0CtGve+OuW0Cl0pJ4EALolHaff1lsKGQiDQW8wGAwkaWbrFGQSpN6W1DuAwREjzYzRNMNDso4Og0rN5PGsPD3p7CvvAD8WpseZUhpLSmOM/AHF/UNhGDZ+cyAEQRCz0B+LS+7vvx8ANQmCIAiCIAiCIH8oGjBpE27mhiDILadUK4G4ienjNJxnzbuJGVyvEdmIQW+41aVAEOSv4bb+KhVBEARBEARBEARBEARBEAS5tdAkMoIgCIIgCIIgCIIgCIIgCDIhNIl8U5AEmfd4ntmP9rrt1Sv0k0cs/6D84rcXx3xU/Vm15IIEALpPdTf83HDF3PUK/W773doRrfF8/ff1ORtzxqSQ+0iuVqY1nxDAUP1Q5vrMA/4HDgYdzNmYI2uXTZLvFU1e94mYbY3rkJ6ULimUlH9QXvtlrdkAPRk9u+1373Hes8d5z17B3ozlGcONwzee73gVH1ZUf1YNAGmL0vY47hnN0X3v6ZWnR1r+jEWyrtiFEARBEARBkNvTxe8v9l7oHX++6vOqoreKJol47olznWmdp9efHnO+82Rn3Y911HHWg1mmw4eJck+Zm9JxosN4Ulot3e2+e0wKFZ9U9BaYKeelAn9WdSDywK9uvx6KPnTx+xu6209PTu861XUjKfyxuk51bbfavsN2xw7bHTtsdvwe9HvV51V/TtZXvILIHaD6u2pxgfhWl8KMwmcLDRozK2Pk3JMjPC2cKBZJkAVPFpj9qPaL2r7CPgCo+7qu4r0Kg8ZwwPPAmOwyEjK6T3UbT0orpUdCjgCAoktR/EoxdVKUKUqNS+1J79HJdPmP5x8KOHR86vG239uuq5YTOrPiTF9R3x+bJoLcbui3ugB3pr7CPsc4R7Mfzd83H7eYcO6eiqgUKsd/NFg9yPPnAYCiWzHSNNlU4yS5U0xTEOeKSZ35jRdIgszakBX0WNDMH2bS2fSL317MeSBn2bllk6Q8ucnrfjuwDbdNyk4CAKVIWfpWacEzBUvSl9zUHOfsmuOe6E7lWP5eecmbJQv2LbipOcJVdCEEQRAEQRDk9iQplARvDh5/3meNj0E74cKmerUewzCcYeZWXNGtGGocoo5FOSJCN9m6sBPlbmRMQVoltQmYcCPBxl8aWw+2LvhlgV2E3XDT8Jm7z3BcOV7LvSZJeRKx/4y1dLO8vrg3iV2E3arzqwCA0BHi8+LT60/z5/AdYyYbo/0hrngFkTuAuEAc9kTYrS7FWAa1ATCgsczsTBjxZgSHz5koYn9Rv0Ocg9mPhmqGrP2sAcBjlceYjj1JdhS9Qt9fNLp7Z9vvbRFvRLgluFW8X6Ed1C4rWDbSNJK1Lssx3pHryb2a2iEIQkGTyBPqL+svfrVY1iazCbGZ9tk0nj+v/INynIF3p3WrJCrnmc7TPp/GtGIONQwVvlg43DDMC+RN/3I69Teu62RX0JNBwkxhy54WQkv0lfTZBNlEvx9tF26XfX/22otrcUu8ZW9L9b+rdTKd6wLXqR9PZVoxjREbf25UipRnVp8Zbhx2muE07bNprftaRVmi/tJ+eYe87j91Bo2Bact0jHNs/LlRr9QPlA9Y+1nHfxFvG2ZrTGSievWV9NV8XkOlIO+Ua4e06YnpCw4uyFiS4bHCo3V/K9OGGbkl0nutt6pXpehW+G30Y1gxACDs+bDB6kGdXMfgMjpPdFZ8UKEZ1PDn8qf9exrDiiG5ICl6pUjeKef582Z8N4MXwGvc0VjzWY1OrnOe5Tzr+1l0Dn2iutOYtGOxx/wf9G/a2cS0ZYa9GOa12su0zGNag2nFbD/cXv5BuWZAw/Xixn8e7xDjYPbq9JX0Fb1UpBQpBUsEhOay/zraEW3Ry0WiHJGFnUXUO1HuS91NP+XwOf4P+mduyKRC5j+V33uuF2Ng3mu8Y7fFElriWOyxiFcjKrZWrK1fO76m49tH1asqeLagv7TfNtTWUmBp5Ws15rpw+BzBUkH1J9UAQBJk9afVzbubAcBvo1/EKxEAIK2SFr5YKO+Uu8x20Q5pw18N78noYdmxQp4KAYDyD8qZ1szQ50LHd0iVWJX/VH5/aT/TlhnzQQzbhW3sAJFbIq/z1wNBEARBEAS5LoSOKHm3pOVAC07HAx8KjHwlsudsT9OvTYSWkBRJbIJt4j6Ms4+w1w5r81/IF2YJLewtYt+L9UjyAACNVMPkMQkdcTDyYOBDgfXb61m2rMhXIn3W+LQdbVNJVHH/F9dX2lfwYsFI24hdiN3Mr2byAngAIDwrdJ3vCgAGjSH3H7nCTKG1n/W0f03Tq/QVn1QQWoJly5J1yDRDmhN3nUg4mpC6KNVrlVfLvhamDTP6zWjf9b7G3DF8wo3Icx7LoVLw2+DXk9nTV9KHM3HJBYlere/O6FYPqPkz+bO+ncWyY0mKJK4LXO0j7QHAJsAm5u0YjVQDAONrrRQrzz1+rq+kj2XLivswzmuF1/gzZf9XFvRwkPsS9/F1L3m3BGfinSc6Vb0ql9kuM7+aybQe3eHQoDEciDgwppraYe25x8+JzolwBu6zzif+k3hCSxyMPBj1elTpe6X3tt5b/3N95SeVOrnOZZbLvO3z6Bz6YP1g/rP5Qw1DNoE2s76dRT33Y4QzcNd5rlaeVopuhWOM4/jA6gF13lN5vQW9vACeXZgdx5UT/mz4Hq89D4geoAq5W7D7wb4HSYKs+Kii8ZdGAAh4MGDKlimEgSh4saDjWAcABD0aFP1WtLH9E9MS2U7sm9J9/x4GygdKt5TK2+W8YN7UT6da+1lXbq3EGXjPqR61RO0002nqp1OpMfL1MegMhW8WNv3ehNPxkEdCol+PJrTEnuA9IY+EXPzpIsuWFfN6jN86P5IgS7aW1O+sB4Dgh4Jj34oFALVUzbJhYTh2ePbhgPsCKr+oNGgNgRsDp7037cYrru5TF79c3FfUZ+FgEflWpFuCm9mKDzcMF79SPNI4Yh1gHfd5nLWvNQCIc8Quc11EWaLWva2ElhgoGeAF8qLei7INs63+qNrvAT/Xxa5t+9pqP6/VyXUu81xit8VSbdid1h34eGDl1kqWHYuax6jcWsm0ZtLYNHG2eKBsAGfishaZWqIO3xJuLCqV3UQVIQxE7qZcpVCZc28OfwFfdFbUX9JP49CG64cFywQse5ajvaOVj9VI04hxEtmgMaTGp4a9FFb1r6rVtavH13Ho4lDh84WyJhnTlhn2cpjPvT4A0F/aX/JKiUqscktwGzPhgCB3pNv6sdBbSK/S52zMCXk2ZG3jWo/lHrmP5JIkCQCN2xvn/jJ3RdGKkeaR9kPthJ7Ivjc78OHAdY3rPFd55j6SS0VXipSWrpYA0Hm802eDT3J1spW3Ve1Xl1ZRkFZLy98vn7dn3uqK1YSOqNxaOSZi2+9t8V/FryxeqehUdB7tDNocxJ/Pj90aG/J0SNgLYd5rvKnpv+5T3R4rPdY1r/PZ4JOzKYcwEKaJmOUY62hMYeZ3M5k2zISTCWxHtlKk1A5p19SumfndzKKXi2StMg6fYxNkk3VPVufxTu2IFsOxOTvmMLiMkZaRwucL5+yak1yVTBJk5bZKACh8qTDkqZB1TescpznWfFaj7lOXvlO68NDC5KpkTb+m7eClV0XM1l3Vq9IMalZXrw55KqTkzZIxZR7TGoSOuPD8hRlfz1jfst5juUf1p9VUsDFXR6/S5zyQE/xU8JqLa3iBvIHyAdM0i7cUM22Ya2rWTP92+vknzqv71KafqnpVzbubbYJtAKDx50YgILkmeVnuso6UDmmFFAA0Uo2kULIkfcn4mk7UPlwP7praNZFbItuPtI+/LkqRsu1Am2CpAABa9rb0nO5JOpe09PTS9kPtXSe7CB2RszEn8NHANRfXOMQ4iLJFZi+u2Q5Z/Vk115O7tmFt9HvRJa+XmHaAiToJgiAIgiAIcpPU/VjXV9KXXJS87Oyy1v2tHcc7AKD9WLvffX53N9xt7WNd/Xk1ABS8UsC0YW5o3DD7v7OzH81W9akAoDOt02OpBwAoxUrNoObu+rvDnw0vfK3QmLhepT97z9nwF8LvbbvXc6Vn5oOZ1CimK73LPcEdAISZQs/lnusvrrcLs6v+stopzinqlSifdT7Rb0bP/WEuy4aVlJHEdmIrhUrtkHZD44Y538/JfyGfWnLNmPtEjClEvhLptsBt2rZpVPjGXxrn/jR3Q8MGGodW+EYhALgtcmvY0VD6fqm0VkqSpHeyd+CDgWZrXflJpZWn1b2t9079v6mFrxYCwPgzk9e9/sf6hb8tXFO+ZrhpuPVgq2mBx1ez7sc6kiQ3NGxYfWF1+5F2agShHlBLLkiWZy5X9amK3ihKOJZwd93d6gF1y/4WQk+cWX8maHPQvW33eid7Zz2YNaZNCB3RndGtkqicpzubDXzh5QtsZ/aGxg1T35/a9GvTRG3btLupO6N7Vf6q5dnLWw+0dpzo6Dje0V/av6Z8zfKc5bX/qR1uGja9glfqhsiE9Cp93qa84KeDV11c5Z7knr85n+pIzTubZ+2YlVSQNNI80nGk44rpTKL2v7WSYsmGig2rz61u+r2p7WgbAChFSs2gZmPrxqgXo86/dB4A6n+p7zzVub5k/Zrza5r2N7WltAFAx4kOryQvKp3m/c3ry9avzFhZ8e+KoYahG6w4ABS/Usz15K6qWhX3WVzhs4UqsQrGVZzQE7kbc/03+a++uNpjhUf+5nwqrvC0kL+IDwDdqd3ed3uvqFjB9ebWfVNnTHywZrDy/ypn/zJ7eclyUk9WbRtd40UlVnFczTynHPBogMs8lynvT3G7y238p8bszMJp+Oyds628reb+NpdKJ3prtNtdbk4znToOdyg6FcLTQqVIaRtuaxpLK9X2F/cvPrnYbB0r/lkhSBQkNybHfRlX9lYZSZJUVwn6R9DKqpXWAdbURAGC3NnQJLJ5fUV9lm6Wnis8cRoeuDlQM6CRtcoAwGW2C9eTy7Ri8ufxdcO6/uJ+jIZ5rfHCcMz/QX9Fl0LWLpNWS21DR/8YsexYgkQBTscFSwW6YZ0x/c7jnb73+NoE2tDZ9MgtkZ3HOwHANCJ/AZ/rzqVz6I5xjpMsa8X15AZsCsDpeOCjgUDAYNWgaSIAcMDvALXk7h7nPaVvlU5e68g3ImksmmOco8dyj66TXQCQcCrBdaHrxW8uHgw6mLEsg1qUueNIh/syd5tAGxqLFvyPYKrwFvYWQ/VDOpkudmvszP/OpHPoOB2XVklxBp6QluD/gP/kdScNpP+D/hiGeazwMG0o862Bw8qilc6znA1qA4ZjxvYZc3X6ivo4fI7Peh+cjgc/GWzhaGFMkDAQHUc7Qp8PxRm4Q7SD03Sn7oxuABisGdzrtnev294jkUdkrbLpX08HAP+H/Gf9MIvOpetkOpoFjcrOoDZMeWcK15M7vqbj28egNQjPCKPeiaKxaE7TnQQJAmNJch/OpXI8HHZY1iYLezEMANoPtgc9HsSyYbGd2b73+XamdvYV9bEcWD4bfHA6HvREkGldTJntkBb2FvIuuaJL4bnCM7k6efI+gCAIgiAIgtxU7UfbI1+JZNmyLF0tQ54KaT/WDgAsO5ZHkgdOxz2SPDTDGsJAtB9uj3wpEmfgjrGOLjNdutK6AECYLeTP5QMAaSADHwrEMMxrlZd2+NJgQVIosRRYeq/yxml4yBMhmgHNSMsIYSB0Ch2TxwQADp/jsdQDwzH+HP7ki+dGvxVNY9Gc4529Vnp1pHaY5g4Amfdmjq75a7vj2Oxjk1fZe7W3Y4wjnU2P/Wds+9F2APBe5X3Xwbtk7bL0Fel7ffeWvleqk+vM1pq6lZV3yr1Xed9dfzcAjD8zSd0BgD+Xb+VlxbRmui1wM20rs9UMeiRo3vZ5dC5dK9PS2Jfu/GPfi7XysqJz6DgDH6gcwBjYstPLAjcFSookGA3zXeeL4Vjgw4HyLvlI2wgASKuluxx37XLctctpV8aajGnbprGd2OMDDzUNtae0T31/Ko1Fc57u7L7EHSbQsr8l5MkQli2L48wJ2BjQfqzdwt5CM6QZrBvkunM39mwc8wQ0ct36S/o5rhz35e44Dfd/1F8j1cjb5ADgNMuJ68llWDFc5rqMH7Fek9bDrdFbolm2LK4bN+KZiNYjrQBAGsiQR0IwDPNJ9tEMaQCgaW9TxDMRLFsWx4UT/GAwFaz7bLfb/NFJVb+7/RgcBs+P5xDhoBnW3GDFCR0hOisKey0MZ+AOUx1c5rsIzwjHV3ygZACjYZ7JnhiO+T7gq+hWyDvkhIHQK/TUY/5MW6bbEjecjrstcTNtqK7ULu8N3rxAHp1ND3s1rDt1dABuEzLhujcTFtUku2vit8lP2aM8OfvkufvPBT4WyHa+7OsWg9oQ+VYk15Nrto7TvpkW/HQwAAABeoWeJMj+kn42n+211gun44GPB7IcWNdaHgT5y0HLWZinlqg5gtFvwzAMsxRYUt/CUetFAABGwwBA0a1QS9Sps1KpkxxXjm5Y15XW5ZXsRZ2xDbPFMMwY3jR947delu6WaomaJMmuE5dFHM1o4vfFqLjGY64nVylSSqukxkQAYF3zOuPf1vrv63vzJtzdAsMxjttolbleXKVICQAMLiPshbCwF8K0I9rmX5tPrzy9snilolvRc7rHWGuWLYskydhtsRUfVByJPGITbBP9z2jnmc7Tv55e+0Xthecu8Bfwp26balynzGzdcSZOvWo3pqHMtgaGY02/NrUfamfZskynU8dcHbVEzfXgGiNaCi61lVqiJvVk1vpLTwpQSyzZho2uiWxKKVSWvV2m6FbYhF7694YzcOobfrolfUxNx7ePul/NsGZQK5YAgLFUADB7+2xqTWRFtyLv8byLX12MeC1C0a2o+qiq9ovRR9ftY+yVQqVpXdgu4x4uIAEm6JCBjwUqxcpTS04xecyQp0ICHg4Y38IIgiAIgiDIn0MlURnv4bnuo3fd9hH2pqMGVa+K0BMZyRnGWISe0Cv1OB2nsWgGjQFn4jaBNjDu5lnVqzLe9GIYZuluqRQrlUKly4zR977tIuxGP510lGF682zlZaUUKY25UycX/LbAM8mTOpZWS08mnpwkNa4713hg0Bi0w1omj+k83dl5ujMA9F7oLX67WClWRr8dPb7WIU+EKEXK1EWpTB4z7Nmw4EeDx5+ZpO6TV3l8NRVCRdEbRfIuuV2YnTGY8c6fYcmY9d2sqs+q8p7Kc1voFv9pvKJLoZKojkw7QoW0dLWk5qntwv+3JrKeaD3Qmv9CvucKz/GBZe0yphWTmt8HANMBC4V6BhYAFN3/z959B0ZRbQ0AvzPb+2bTe++dkgKEBEIndBUQFBQ/sRcUe312n/jsnSKCINJLgFBMaOmVhPSeTa/b28x8f0zeJmY3AZ9B8L3z+2sye++5584umpzc3KsufLewZMvg4k37SfZO05wC1gVcfOiivl/vt9Jv8juTGexR94cFN25EKYDvyh8sBYT+7ofNtpLByAAAIABJREFUP0PToRn6R+EhVLepEUI4G7cJtkEI4YzBpX6qZlXuP3ILPiigv3SMcTRqjBgTM/8ztIu0G6+UEEL0D60sweA2HQJ3gdWJq+VqXZfuZOJJ+ibfmW8YMKib1fZxg1t+31ANxG2wDtCS2uK5zHNkKtbPbBrSldllHu4PubT+kscSj9BNodpO7YXVF6RhUrd5Qwu8cBZOlxesz7FEfe3za5SJkkXJEDY4o9EKDgD8t4IisnVcB65GPni6HUVRmlYN/UuqEd95cB24PCdeyqXBs+a687ulIdLST0rpeqhl+9/F//fpeeoWNdeBi2HYQOXAdTuOoG5RD13L1TxH3vAgfwhFUppWDV3qVTerRd6ipuNNNbtq6HPe2GJ2yKMh8jR5x+UOrj3XbZ5b7JZYhJBJbVLUKCiSIg3kjD0zCB1R/WN1zuacuSfnSoOk88/O1/Xo8l/JL/u0LObDmDHmft3vYod/2XGxo3Z37by0eTwHXltGW8mHJVab8Rx56ubB50NRlLp16FlxbDkIoeT9yXQ1dqBqgGPL6cn/3X4XZrnP5brOdg15IgTDsNMLTw+O9e//IxoGDCNmavl8ePY8o8JoUBroOrK6RS2VjPx1q8BN4LXMqz2jHSHEtecGPhBI/zJA06YhdISyQWmei0ljGqgcML9r9EVfaZ/jVEerH0hFnWLiWxNjt8R2XO7IuCeDrlkDAAAAAIBbgufAU7eobYJsEELqFjXfiY/QyD8Q5dpxEUJzj8ylX+2v7OfacVvOtrgmD65AHO2bZ54jTy0f+gZYI9fwHfnlP5RHPBUxdscRKJJSy9VCNyFCSNWkEvuKh4/+R6maVfSFulWNs3CWmHUo7tC0L6fRB805xjlOfH3ixY0Xrc5a06mJeS9myqdT2i+1n1191jPFU9+vH3FnjLmPPWXLaWZuynSf5x7+VDiGYSfmnKCbmb/z1/frbYJtFqcv1vXosl/ILvm4xHORJ9+Rvyx7Gd2gM7dTFiqTt8vNQ+BM3G+1X85LOco6JdeBO6KxTbCNfkBvUBjodT9d+V1uc9wQQujfe6v2Xh38A3muPTdkY4jPHT4IIU2bxqQ1qeXqgHsCojZH9Vf1p69PbzrR5L3M+z97g8BwI0sBbRquIxfd8L+dG8F35KtaVLIQGUJI1ayiP/CW8XkOvLBHwvzv8kcIqVvVJq2p+XSz+5yhn+bGMSWEENeOa1QYTWoTU8BECGlaNPZT7NVN6pE1EHsu15E7P2M+/WVPfo80WFr0ZtHgKt0bq4Fo5BqOPQfDMEWVQuwvpm+af7btL+t3mOIwRqryU3LzcGwJ29A79BcG+j4928b6CmXSRHZe7oz5OIbJZ4q8RK7zXDsudAwvIpv/pVvOUeQtOptyduaBmXaT7UgjWb+nHtH/MR9WcDDPDoD/YrCdhXX2MfbqFnXzyWaKoqq2VrGlbJHPyJPQEEL2k+0NCkPLqRaSIKt3Vl968JKqWWW15QgeCz1q99QqahWEnij5oMR9obuyXnndjoR+8MBl88nLqgZVze4aiqSqdlSRRpIlZt3I6MMjDA9b8kEJaSS7C7objzS6zXdziHfoKeyp3lltUBoIPSE/K+8r63OId/BI8WhObVbWKU1qU+6LuZU/VGIYdnbpWflZOc7BObYck9akrFOenH1S265lCVksEcukMY0xd6sZ6vv1XbldVl8yKo0sEYstZmvaNOVflZMG6xvY28fYq1vVDQcbKJKq/L5S1zG06zGDzXCd41r+TTlJkD1FPafmnjIqRv2LJKPSyHflUyTVnNrcndM94lhYy5laPh+chbvOdi16q4g0kt353S2nWqwOxLXjGtVGhJDHIo/qHdVGpVHbof1t1W9d2V32k+1VTSp6LtU/VtNTZglZbefbCB2hqFV0XOlA1j6QGBMrfKOw9ONSDMd4jjxEDb71YxzeDQAAAAAAbh7PxZ4lW0qMSqOmQ1P2ZZnnYotVeAgx2Az3ue5lX5aRBNld2H08+bhhwNB8qnmwwjg6h1gHVZOq6UQTRVEV31ewpWyxr1jTpuE7W9ly1Gz4eVDmb60L3y0kjWRXflfD4QaPhR43MvqICOafMhoON/SU9BAGIv/NfM9FnhiGeS7yzH4hu7+ynyRITZum/Nty15muVmed92pe0YdFg3+KRyFCT1jeGWPuVjPsvdprXl8yYppGpVHgKqBIqvFEY2d254gfNJR1ymMzjmnaNSwhiy1mE1rCMdbRoDA0pTaRBFm5ozJjQwbGtFJB49pyjSqjZWOmgOmS5JL/Zj5pJDtzO7vyuhBCOAunSEp+Xk5RVPXOwV2SvZZ4VWytoD82aSvSOrM66w/U/7buN0JP8Ox5OBs3/8A12g9H4AbZTbJTt6jlp+UURdVsr2FL2CJv6z9i95X10X9JYL64Qd5LvQs/LDQoDZp2TclnJT5Lfaw281nmc+27a3SzE4tPtGe2N55s9Jxn5b8YNH2fvj2rffjFH4KzcOcZzqVbSkmC7MnvaTvf5pLsYtnMbpKdUWGUn5aTBFm7qzbz4UyMiWk7tFb+WPb33Ba41e+tV9YpCT1x9cOr7gvdlQ1KoffgSl6WgNV+vp3QEco6ZWdmp7mX1c/z8OFc57lWfFPRfrGd0BOKWkXpB6Xui9yt9sWZuCxKVvV9lVFlHKgcaD7ebDvRFll7+yznSJpIRCGeI8+kNpV+VEqvorObbKdp1TQeaqRIqvqHal3n745ZAuC/EqxEto7JY07/cXruc7mZj2dKg6UJ2xKs/j6NyWcm7UrK2Zxz5ZErYj/x9B3TW0623MhKT1mkLOqlqPN3nTdpTM5JzlGvRtXsrBm7o3OSc/5r+Swhy36yfdknZUXvFDnEO9hNtms911r4ZqHATZC4I1GeJr+R0c0Rol6Ocp3jenLWybmn5+IcnO/CPxx9GGNhk9+fTC9nnvnLzKK3igpeLcA5uDRYmvRTkshLhBCKfjX63F3nDP0Gx6mOcZ/GYTgW92lc7nO5hn6DwEMw9aupttG2AfcHHE88ThGUbbRt/GfxY8zdapLdOd0X/+/iqsZVli+5zHap/7X+YMRBvjM/9MnQwjcLK7dWWjZjcBmJPybmPJuT+WSm0F3oOM1x+KuxW2KzN2UfCDrAkrBiP44VeYsU1QqrmUS/Fp29KbvwH4UuM11CnwzNeSYnJTPF/KrlTPnO/BHPByEU81FM5hOZvwb8ihDyWGz9QBKhl7A7v1vTpgl8IFAtVx+NO0qRlO/dvt4rvTEMm759es5zObkv5rrOcrWNtkUI+azy6c7vPhh5EGfi9LJlyw8khmHRr0VnPp65z2cfS8SKfiNa6CEc/gGwmgkAAAAAALhJQjaGqJpVByYewBhY4P2BXku85Ofkls2mfDbl8hOX9/jsYUvZUz6dIvQQEjriunuAMnnM5N3Jmc9kXnzkok2wzcydM3uKe+yi7cboYh9jX7ylOP8f+RNfm+g+3/1o4tGUcykMDkPgKtgXtg9n4XH/jBP7iG9kdIQQHWHJpSUuM11yXsphCVkIIc/FnleeuqKoVTjGOU77ahpCKPrFaAzD0lakaTu1AjeBxwKPCS9NsJy12Ec86c1JFx++uMt9F0vEmvzWZJGnyPLOaHMfbUXkpccuea/wDtkYMmKa0gDppDcnXX7yct7rea7JrhGbIi4/dXl53tCZInYT7IIeCDocf5giKbsJdglfJTD5zFl7Z13ZdOXCxgsSf8nMXTPpP+QfQeQjajja4BjvaNl46udTLz18aY/fHmmQ1PcuX4QQhmOx78dmPpup69b5LPdhiVgIoZCNIWq5+sDEAxRB+d/j77va16QydVzp2OO/B2fiXku8fFf6Dn/+cLbef4zJY07bPi3/hfzsJ7MlQZKpP0wd7YOUuynXY6lH0MNB5osbHCLskTBlk3Jv+F6MgYU8EOKz3MdqqTTskTBVi2pv+F6SIIPXB/ut9Gs63TTGP8P2zPYza8880PuA+eIG8zGb9NGk3Gdyj4Qf4dhyYj+PtXreHZPPTPgxIe+FvKzHs8S+4qnbpvaV9Jk3jRmDLEIW/kJ4xqoMk8bkmOgY8VJE7a5a80Jg71XePQU9RycexZm4eYMLx0THwtcL6ZXRZr3FvcOH87vPj9AT+c/na9o0PHue111eIU+FIIQEngKcg59fdn7moZnmxlO+mZL/Uv6xSceYfKbfvX5eK7zQv99H//uHjnGynCPHhhP2bNjpuac5Uo7vPb4us11ynsqZ8u2Uadun5T2Xl7MpR+AucJg61uppAP47jOefP/zdre1ei9Df6ZG0nm+t+KZi5r6Z1296PYSe2Oezb7V89Z8PBf4Cpxeejn4t2iEW/i8FAAAAAPB3wEBsxh8+A+pWIfTELrdd67rWjUu0vNfz2FJ2xNMR4xJtHI3vNMdF/lv5DC4jajOs87gFNDoNuplruHEGLhHfjocfKpQKwgR/pQoAuCGwnQUAAAAAAAAAAAAAAACAUcH5rUMinotA6O+0EpnJZ0oCJObzQP8MDMfE/mJp0MjT3sDtSeAmkAZJmXzYjgYAAAAA4O8ARwz8b/OTF4ZjkgCJTbDNuETj2nOlQVL60LzbyvhOc1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diff --git a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/put.lua b/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/put.lua
index 8cd8c9e74..89cc5e118 100644
--- a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/put.lua
+++ b/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/put.lua
@@ -1,5 +1,5 @@
 minId = 1
-maxId = 100000000
+maxId = 1000000
 
 function getRandomId()
     return math.random(minId, maxId)
@@ -30,4 +30,4 @@ function request()
     path = "/v0/entity?id=" .. id
     body = getRandomString(10)
     return wrk.format("PUT", path, nil, body)
-end
\ No newline at end of file
+end
diff --git a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/result_hw1.md b/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/result_hw1.md
deleted file mode 100644
index 6b4a1684d..000000000
--- a/src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/result_hw1.md
+++ /dev/null
@@ -1,161 +0,0 @@
-## Нахождение точки разладки
-### GET
-Размер БД = 2.1gb
-
-при выполнении 10'000 запросов в секунду на протяжении 30 секунд получили среднее 
-время выполнения запроса равное 22.64ms, максимальное - 182.66ms, что уже сопоставимо с одной секундой 
-и выше допустимого порядка.
-Количество запросов было уменьшено на 20%. Получили следующие результаты: \
-`wrk -d 30 -t 1 -c 1 -R 8000 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/get.lua http://localhost:8080/v0/entity`
-
-
-```
-Running 30s test @ http://localhost:8080/v0/entity
-  1 threads and 1 connections
-  Thread calibration: mean lat.: 1.055ms, rate sampling interval: 10ms
-  Thread Stats   Avg      Stdev     Max   +/- Stdev
-    Latency     1.36ms    2.31ms  22.88ms   94.51%
-    Req/Sec     8.44k   770.72    14.44k    73.79%
-  Latency Distribution (HdrHistogram - Recorded Latency)
- 50.000%    0.85ms
- 75.000%    1.20ms
- 90.000%    2.22ms
- 99.000%   15.76ms
- 99.900%   21.26ms
- 99.990%   22.77ms
- 99.999%   22.85ms
-100.000%   22.90ms
-```
-
-Необходимо убедиться, что нагрузка является стабильной, для этого проведем повторное тестирование, но длительностью
-5 минут:
-
-` wrk -d 300 -t 1 -c 1 -R 8000 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/get.lua http://localhost:8080/v0/entity`
-
-``` 
-Running 5m test @ http://localhost:8080/v0/entity
-  1 threads and 1 connections
-  Thread calibration: mean lat.: 1.194ms, rate sampling interval: 10ms
-  Thread Stats   Avg      Stdev     Max   +/- Stdev
-    Latency     1.43ms    2.49ms  39.58ms   96.02%
-    Req/Sec     8.44k     0.88k   19.67k    72.04%
-  Latency Distribution (HdrHistogram - Recorded Latency)
- 50.000%    0.94ms
- 75.000%    1.52ms
- 90.000%    2.37ms
- 99.000%   13.39ms
- 99.900%   33.85ms
- 99.990%   38.72ms
- 99.999%   39.39ms
-100.000%   39.62ms
-----------------------------------------------------------
-  2399973 requests in 5.00m, 148.53MB read
-Requests/sec:   7999.91
-Transfer/sec:    506.97KB
-
-```
-Можно считать, что нагрузка является допустимой и проведена ниже точки разладки. 
-Низкое Latency при столь высоком rps достигается за счет того, что все Page object свободно вмещаеются в оперативной памяти и, как следствие, у нас нет медленных запросов к диску
-
-[Flamegraph CPU](../results/hw1/profiler/profile_get_8000.svg)
-Большую часть процессорного времени (>43%) занимает работа с MemorySegment, бинарный поиск и метод сравнения сегментов MemorySegmentComparator.compare
-20% процессорного времени занимало выполенине кода ядра, в честности 19% ушло на syscall получения набора семафоров (SEMGET).
-
-[Flamegraph Alloc](../results/hw1/profiler/profile_get_alloc_8000.svg)
-
-Больше всего выделений памяти (8%) уходило на Mapped MemorySegment
-
-На данный момент все запросы выполняются внутри SelectorThread, чего быть по идее не должно, поэтому возможна оптимизация путем делегирования задачи WorkerPool'у
-
-
-Если сделать GET запрос не по рандомному индексу, а по одному и тому же, то средняя задержка выполнения запроса снизилась 
-на 30%, что связано с кешированием результата:
-``` Thread calibration: mean lat.: 1.071ms, rate sampling interval: 10ms
-Thread Stats   Avg      Stdev     Max   +/- Stdev
-Latency     1.00ms  650.63us   5.64ms   67.41%
-Req/Sec     8.45k   765.16    12.56k    71.79%
-Latency Distribution (HdrHistogram - Recorded Latency)
-50.000%    0.91ms
-75.000%    1.35ms
-90.000%    1.92ms
-99.000%    2.91ms
-99.900%    4.41ms
-99.990%    5.47ms
-99.999%    5.63ms
-100.000%    5.64ms
-``` 
-
-### PUT
-**Вставка уникального id на каждом запросе** 
-
-`john@Batman:~/IdeaProjects/2024-highload-dht-1$ wrk -d 30 -t 1 -c 1 -R 8000 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/put_new.lua http://localhost:8080/v0/entity`
-
-``` 
-Running 30s test @ http://localhost:8080/v0/entity
-1 threads and 1 connections
-Thread calibration: mean lat.: 1.237ms, rate sampling interval: 10ms
-Thread Stats   Avg      Stdev     Max   +/- Stdev
-Latency     1.19ms    0.86ms  23.86ms   78.25%
-Req/Sec     8.44k   839.27    20.60k    72.12%
-Latency Distribution (HdrHistogram - Recorded Latency)
-50.000%    1.10ms
-75.000%    1.72ms
-90.000%    2.05ms
-99.000%    2.80ms
-99.900%    9.42ms
-99.990%   23.41ms
-99.999%   23.85ms
-100.000%   23.87ms
-
-----------------------------------------------------------
-239995 requests in 30.00s, 15.33MB read
-Requests/sec:   7999.72
-Transfer/sec:    523.42KB
-```
-
-Повторное выполнение запроса на пустой БД не приводит к существенному изменению результатов, в связи с тем, что созданные записи не просматриваются при вставке.
-```
-  Thread Stats   Avg      Stdev     Max   +/- Stdev
-    Latency     1.47ms    1.53ms  26.43ms   93.23%
-    Req/Sec     8.27k     1.05k   20.62k    84.83%
-  Latency Distribution (HdrHistogram - Recorded Latency)
- 50.000%    1.15ms
- 75.000%    1.86ms
- 90.000%    2.44ms
- 99.000%    7.97ms
- 99.900%   17.97ms
- 99.990%   25.58ms
- 99.999%   26.45ms
-100.000%   26.45ms
-```
-
-[Flamegraph CPU](../results/hw1/profiler/profile_put_8000.svg) 
-Здесь оптимизация, касающаяся SelectorThread также применима, что и постараюсь реализовать в следующей дз.
-
-[Flamegraph Alloc](../results/hw1/profiler/profile_put_alloc_8000.svg)
-В отличие от GET, здесь происходит намного меньше обращений к памяти.
-
-**Замена существующего значения**
-
-`john@Batman:~/IdeaProjects/2024-highload-dht-1$ wrk -d 30 -t 1 -c 1 -R 8000 -L  -s ./src/main/java/ru/vk/itmo/test/osokindm/wrk_scripts/put.lua http://localhost:8080/v0/entity`
-
-```
-Running 30s test @ http://localhost:8080/v0/entity
-1 threads and 1 connections
-Thread calibration: mean lat.: 1.326ms, rate sampling interval: 10ms
-Thread Stats   Avg      Stdev     Max   +/- Stdev
-Latency     1.17ms    1.14ms  33.95ms   97.95%
-Req/Sec     8.44k     0.96k   29.00k    76.08%
-Latency Distribution (HdrHistogram - Recorded Latency)
-50.000%    1.09ms
-75.000%    1.66ms
-90.000%    1.98ms
-99.000%    2.66ms
-99.900%   20.54ms
-99.990%   33.18ms
-99.999%   33.95ms
-100.000%   33.98ms
-```
-Если изменить скрипт lua и наполнять БД, обращаясь по ключам с уже существующими значениями, то можно заметить, что время работы также не изменилось  (1.19ms vs 1.17ms).
-
-