return artifactCollector.collect(
                artifacts, projectArtifact.artifact, null, null, null, source, filter, Collections.emptyList(), null);
    }

    private ArtifactResolutionResult collect(ArtifactSpec a) throws ArtifactResolutionException {
        return artifactCollector.collect(
                Collections.singleton(a.artifact),
                projectArtifact.artifact,
                null,
                null,

from collections.abc import AsyncIterable

from fastapi import FastAPI
from fastapi.sse import EventSourceResponse, ServerSentEvent

app = FastAPI()


@app.get("/logs/stream", response_class=EventSourceResponse)
async def stream_logs() -> AsyncIterable[ServerSentEvent]:
    logs = [
        "2025-01-01 INFO  Application started",
        "2025-01-01 DEBUG Connected to database",
        "2025-01-01 WARN  High memory usage detected",
    ]

        return inEdgeMap.containsKey(obj) || outEdgeMap.containsKey(obj);
      }
    };
  }

  @Override
  public Set<E> inEdges() {
    return Collections.unmodifiableSet(inEdgeMap.keySet());
  }

  @Override
  public Set<E> outEdges() {
    return Collections.unmodifiableSet(outEdgeMap.keySet());
  }

  @Override
  public N adjacentNode(E edge) {

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.core.stream;

import java.util.Arrays;
import java.util.Collections;
import java.util.Map;
import java.util.function.Consumer;
import java.util.function.Function;
import java.util.function.Supplier;
import java.util.stream.Stream;

/**
 * Utility class for {@link Stream}.

 */
package org.codelibs.fess.it.admin;

import static io.restassured.RestAssured.given;
import static org.hamcrest.Matchers.equalTo;
import static org.junit.jupiter.api.Assertions.assertTrue;

import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

import org.codelibs.fess.it.CrudTestBase;
import org.junit.jupiter.api.AfterEach;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Tag;

import static com.google.common.collect.testing.google.ReflectionFreeAssertThrows.assertThrows;
import static java.util.Arrays.asList;
import static java.util.Collections.emptyList;
import static java.util.Collections.singletonList;

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.Multimap;
import com.google.common.collect.testing.features.CollectionSize;

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.internal.aether;

import java.util.Collections;
import java.util.List;
import java.util.Map;

import org.apache.maven.RepositoryUtils;
import org.apache.maven.api.di.Named;
import org.apache.maven.api.di.Singleton;

 */

package org.elasticsearch.gradle.internal.precommit;

import org.elasticsearch.gradle.VersionProperties;
import org.elasticsearch.gradle.internal.InternalPlugin;
import org.elasticsearch.gradle.internal.conventions.precommit.PrecommitPlugin;
import org.gradle.api.Action;
import org.gradle.api.GradleException;
import org.gradle.api.Project;
import org.gradle.api.Task;
import org.gradle.api.artifacts.dsl.DependencyHandler;

 * in compliance with, at your election, the Elastic License 2.0 or the Server
 * Side Public License, v 1.
 */

package org.elasticsearch.gradle.internal.conventions.precommit;

import org.elasticsearch.gradle.internal.conventions.GUtils;
import org.gradle.api.Project;
import org.gradle.api.Task;
import org.gradle.api.publish.PublishingExtension;
import org.gradle.api.publish.maven.tasks.GenerateMavenPom;

from collections.abc import AsyncIterable

from fastapi import FastAPI
from fastapi.sse import EventSourceResponse, ServerSentEvent
from pydantic import BaseModel

app = FastAPI()


class Prompt(BaseModel):
    text: str


@app.post("/chat/stream", response_class=EventSourceResponse)
async def stream_chat(prompt: Prompt) -> AsyncIterable[ServerSentEvent]:
    words = prompt.text.split()
    for word in words: