name: istio-proxy
---
apiVersion: v1
kind: Service
metadata:
  name: my-ingressgateway
spec:
  ports:
  - name: http2
    nodePort: 31380
    port: 80
    protocol: TCP
    targetPort: 8003
  selector:

      name: istio-proxy
---
apiVersion: v1
kind: Service
metadata:
  name: my-ingressgateway
spec:
  ports:
  - name: http2
    nodePort: 31380
    port: 80
    protocol: TCP
    targetPort: 8003
  selector:

		{intQuantity(0, 1, DecimalSI), intQuantity(0, -1, DecimalSI), 0},
		{intQuantity(0, -1, DecimalSI), intQuantity(0, 1, DecimalSI), 0},
		{intQuantity(800, -3, DecimalSI), intQuantity(1, 0, DecimalSI), -1},
		{intQuantity(800, -3, DecimalSI), intQuantity(79, -2, DecimalSI), 1},

		{intQuantity(mostPositive, 0, DecimalSI), intQuantity(1, -1, DecimalSI), 1},

# ADR-0003 - Avoid introducing Groovy types to public API

## Date

2024-01-12

## Context

Gradle's public API requires equal access from all JVM-based languages.
Kotlin, Groovy, Java, and other JVM-based languages should be able to use the Gradle API without relying on another language's standard library.

Historically, Gradle has shipped with some Groovy types in very prominent APIs.

// CHECK-LABEL: func @func
// CHECK-SAME: %arg0: tensor<2x7xi64> {mhlo.sharding = "\08\03\1A\03\01\01\02\22\02\00\01B\01\00"
func.func @func(%arg0: tensor<2x7xi64>) -> (tensor<2x7xi32>) {
  %0 = "tf.Cast"(%arg0) {Truncate = false} : (tensor<2x7xi64>) -> tensor<2x7xi32>

& 🎂 🔜 🍵 **FastAPI**.

🚥 👆 🏃 ⚫️ ⏮️ Uvicorn &amp; 🚶 <a href="http://localhost:8000/v1/" class="external-link" target="_blank">http://localhost:8000/v1/</a> 👆 🔜 👀 📨 ⚪️➡️ 🏺:

```txt
Hello, World from Flask!
```

&amp; 🚥 👆 🚶 <a href="http://localhost:8000/v2" class="external-link" target="_blank">http://localhost:8000/v2</a> 👆 🔜 👀 📨 ⚪️➡️ FastAPI:

```JSON
{
    "message": "Hello World"
}

      func.func @main(%arg0: tensor<2x2xf32>) -> (tensor<2x2xf32> {mhlo.sharding = "\08\03\1A\02\02\01\22\02\00\01"}) {
        %0 = tf_executor.graph {
          %outputs, %control = tf_executor.island wraps "tf.XlaSharding"(%arg0) {_XlaSharding = "\08\03\1A\02\02\01\22\02\00\01", sharding = "\08\03\1A\02\02\01\22\02\00\01"} : (tensor<2x2xf32>) -> tensor<2x2xf32>

Eğer uygulamanızı çalıştırıp <a href="http://localhost:8000/v1/" class="external-link" target="_blank">http://localhost:8000/v1/</a> adresine giderseniz, Flask'tan gelen yanıtı göreceksiniz:

```txt
Hello, World from Flask!
```

Eğer <a href="http://localhost:8000/v2/" class="external-link" target="_blank">http://localhost:8000/v2/</a> adresine giderseniz, FastAPI'dan gelen yanıtı göreceksiniz:

```JSON
{

And the rest will be handled by **FastAPI**.

If you run it and go to <a href="http://localhost:8000/v1/" class="external-link" target="_blank">http://localhost:8000/v1/</a> you will see the response from Flask:

```txt
Hello, World from Flask!
```

And if you go to <a href="http://localhost:8000/v2" class="external-link" target="_blank">http://localhost:8000/v2</a> you will see the response from FastAPI:

```JSON
{
    "message": "Hello World"

其余的请求则会被 **FastAPI** 处理。

如果您使用 Uvicorn 运行应用实例并且访问 <a href="http://localhost:8000/v1/" class="external-link" target="_blank">http://localhost:8000/v1/</a>，您将会看到由 Flask 返回的响应：

```txt
Hello, World from Flask!
```

并且如果您访问 <a href="http://localhost:8000/v2" class="external-link" target="_blank">http://localhost:8000/v2</a>，您将会看到由 FastAPI 返回的响应：

```JSON
{
    "message": "Hello World"
}