Automated snippet conversion by scripts

These changes are purely mechanical to differentiate them from manual
fixes/adjustments made in the next commit.
This results in broken code as some snippets contain errors.

Made in four steps:
1. Run ./migrate-snippet.py that converts `.md` files to code files
   and perhaps adds missing lines under `// @hide` comments.
2. Sort Java imports.
3. Remove old `.md` files.
4. Run ./generate.md to produce `*/generated/*.md` files.

qdrant-landing/content/documentation/headless/snippets/query-points/hybrid-mmr/csharp.cs

@@ -0,0 +1,23 @@
+using Qdrant.Client;
+using Qdrant.Client.Grpc;
+
+public class Snippet
+{
+	public static async Task Run()
+	{
+		var client = new QdrantClient("localhost", 6334);
+
+		await client.QueryAsync(
+		    collectionName: "{collection_name}",
+		    query: (
+		        new float[] { 0.01f, 0.45f, 0.67f },
+		        new Mmr
+		        {
+		            Diversity = 0.5f,         // 0.0 - relevance; 1.0 - diversity
+		            CandidatesLimit = 100     // Number of candidates to preselect
+		        }
+		    ),
+		    limit: 10
+		);
+	}
+}

qdrant-landing/content/documentation/headless/snippets/query-points/hybrid-mmr/go.go

@@ -0,0 +1,25 @@
+package snippet
+
+import (
+	"context"
+
+	"github.com/qdrant/go-client/qdrant"
+)
+
+func Main() {
+	client, err := qdrant.NewClient(&qdrant.Config{
+		Host: "localhost",
+		Port: 6334,
+	})
+
+	client.Query(context.Background(), &qdrant.QueryPoints{
+		CollectionName: "{collection_name}",
+		Query: qdrant.NewQueryMMR(
+			qdrant.NewVectorInput(0.01, 0.45, 0.67),
+			&qdrant.Mmr{
+				Diversity:       qdrant.PtrOf(float32(0.5)), // 0.0 - relevance; 1.0 - diversity
+				CandidatesLimit: qdrant.PtrOf(uint32(100)),  // num of candidates to preselect
+			}),
+		Limit: qdrant.PtrOf(uint64(10)),
+	})
+}

qdrant-landing/content/documentation/headless/snippets/query-points/hybrid-mmr/java.java

@@ -0,0 +1,30 @@
+package com.example.snippets_amalgamation;
+
+import static io.qdrant.client.QueryFactory.nearest;
+import static io.qdrant.client.VectorInputFactory.vectorInput;
+
+import io.qdrant.client.QdrantClient;
+import io.qdrant.client.QdrantGrpcClient;
+import io.qdrant.client.grpc.Points.Mmr;
+import io.qdrant.client.grpc.Points.QueryPoints;
+
+public class Snippet {
+        public static void run() throws Exception {
+                QdrantClient client = new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
+
+                client
+                    .queryAsync(
+                        QueryPoints.newBuilder()
+                            .setCollectionName("{collection_name}")
+                            .setQuery(
+                                nearest(
+                                    vectorInput(0.01f, 0.45f, 0.67f), // <-- search vector
+                                    Mmr.newBuilder()
+                                        .setDiversity(0.5f) // 0.0 - relevance; 1.0 - diversity
+                                        .setCandidatesLimit(100) // num of candidates to preselect
+                                        .build()))
+                            .setLimit(10)
+                            .build())
+                    .get();
+        }
+}

qdrant-landing/content/documentation/headless/snippets/query-points/hybrid-mmr/python.py

@@ -0,0 +1,15 @@
+from qdrant_client import QdrantClient, models
+
+client = QdrantClient(url="http://localhost:6333")
+
+client.query_points(
+    collection_name="{collection_name}",
+    query=models.NearestQuery(
+        nearest=[0.01, 0.45, 0.67], # search vector
+        mmr=models.Mmr(
+            diversity=0.5, # 0.0 - relevance; 1.0 - diversity
+            candidates_limit=100, # num of candidates to preselect
+        )
+    ),
+    limit=10,
+)

qdrant-landing/content/documentation/headless/snippets/query-points/hybrid-mmr/rust.rs

@@ -0,0 +1,19 @@
+use qdrant_client::Qdrant;
+use qdrant_client::qdrant::{PrefetchQueryBuilder, Query, QueryPointsBuilder};
+
+pub async fn main() -> anyhow::Result<()> {
+    let client = Qdrant::from_url("http://localhost:6334").build()?;
+
+    client.query(
+        QueryPointsBuilder::new("{collection_name}")
+            .query(Query::new_nearest_with_mmr(
+                vec![0.01, 0.45, 0.67], // search vector
+                MmrBuilder::new()
+                    .diversity(0.5) // 0.0 - relevance; 1.0 - diversity
+                    .candidates_limit(100) // num of candidates to preselect
+            ))
+            .limit(10)
+    ).await?;
+
+    Ok(())
+}

qdrant-landing/content/documentation/headless/snippets/query-points/hybrid-mmr/typescript.ts

@@ -0,0 +1,14 @@
+import { QdrantClient } from "@qdrant/js-client-rest";
+
+const client = new QdrantClient({ host: "localhost", port: 6333 });
+
+client.query("{collection_name}", {
+  query: {
+    nearest: [0.01, 0.45, 0.67, ...], // search vector
+    mmr: {
+      diversity: 0.5, // 0.0 - relevance; 1.0 - diversity
+      candidates_limit: 100 // num of candidates to preselect
+    }
+  },
+  limit: 10,
+});