from inline_snapshot import snapshot
from pydantic import BaseModel

app = FastAPI()


class Product(BaseModel):
    name: str
    description: str = None  # type: ignore
    price: float


@app.get("/product")
async def create_item(product: Product):
    return product


client = TestClient(app)


def test_get_with_body():

        file("producer-tar/build/install/someFile.txt").exists()
        file("producer-tar/build/install/snapshot-1.0.txt").exists()
        file("consumer/build/dir/someFile.txt").exists()

        when:
        gradleRunner("copyDir", "-Pversion=2.0").build()
        then: "old content is cleared out"
        file("producer-tar/build/install/someFile.txt").exists()

    checkState(count() > 1);
    return sumOfProductsOfDeltas / (count() - 1);
  }

  /**
   * Returns the <a href="http://mathworld.wolfram.com/CorrelationCoefficient.html">Pearson's or
   * product-moment correlation coefficient</a> of the values. The count must greater than one, and
   * the {@code x} and {@code y} values must both have non-zero population variance (i.e. {@code

	// refer https://github.com/IBM/sarama/issues/765#issuecomment-254333355
	sconfig.Producer.Retry.Max = 2
	sconfig.Producer.Retry.Backoff = (10 * time.Second)
	sconfig.Producer.Return.Successes = true
	sconfig.Producer.Return.Errors = true
	sconfig.Producer.RequiredAcks = 1
	sconfig.Producer.Timeout = (10 * time.Second)
	sconfig.Net.ReadTimeout = (10 * time.Second)
	sconfig.Net.DialTimeout = (10 * time.Second)

	}
	return target.isActive()
}

func (target *NSQTarget) isActive() (bool, error) {
	if target.producer == nil {
		producer, err := nsq.NewProducer(target.args.NSQDAddress.String(), target.config)
		if err != nil {
			return false, err
		}
		target.producer = producer
	}

	if err := target.producer.Ping(); err != nil {
		// To treat "connection refused" errors as errNotConnected.
		if xnet.IsConnRefusedErr(err) {

      assertEquals(0, Queues.drain(q, ImmutableList.of(), 1, 10, MILLISECONDS));

      Producer producer = new Producer(q, 1);
      // producing one, will ask for two
      Future<?> producerThread = threadPool.submit(producer);
      producer.beganProducing.await();

      // make sure we time out
      Stopwatch timer = Stopwatch.createStarted();

	config.Producer.Retry.Max = 2
	config.Producer.Retry.Backoff = (1 * time.Second)
	config.Producer.Return.Successes = true
	config.Producer.Return.Errors = true
	config.Producer.RequiredAcks = 1
	config.Producer.Timeout = (5 * time.Second)
	// Set Producer Compression
	cc, ok := codecs[strings.ToLower(args.Producer.Compression)]
	if ok {
		config.Producer.Compression = cc

  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  float product[4] = {0};
  EXPECT_EQ(sizeof(product), TF_TensorByteSize(t));
  memcpy(&product[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(7, product[0]);
  EXPECT_EQ(10, product[1]);
  EXPECT_EQ(15, product[2]);
  EXPECT_EQ(22, product[3]);

  TFE_DeleteTensorHandle(h0_task0);
  TFE_DeleteTensorHandle(h1_task0);

# Release coordination
packaging/core-platform/                        @gradle/bt-product-operations
packaging/distributions-dependencies/           @gradle/bt-product-operations
packaging/distributions-full/                   @gradle/bt-product-operations
packaging/public-api                            @gradle/bt-product-operations
testing/performance/                            @gradle/bt-developer-productivity

  TFE_DeleteTensorHandle(retval_task0);
  float product[4] = {0};
  EXPECT_EQ(sizeof(product), TF_TensorByteSize(t));
  memcpy(&product[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(7, product[0]);
  EXPECT_EQ(10, product[1]);
  EXPECT_EQ(15, product[2]);
  EXPECT_EQ(22, product[3]);

  TFE_DeleteTensorHandle(h0_task0);
  TFE_DeleteTensorHandle(h1_task0);