COPY ./app /app/app
```

### Raspberry Pi et autres architectures

Si vous utilisez Docker sur un Raspberry Pi (qui a un processeur ARM) ou toute autre architecture, vous pouvez créer un `Dockerfile` à partir de zéro, basé sur une image de base Python (qui est multi-architecture) et utiliser Uvicorn seul.

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile
FROM python:3.7

		diag.MockResource("GrandCastle"),
		"the castle is too old",
	)

	msgs := diag.Messages{firstMsg, secondMsg}
	output, _ := Print(msgs, LogFormat, false)

	g.Expect(output).To(Equal(
		"Error [B1] (SoapBubble) Explosion accident: the bubble is too big\n" +
			"Warning [C1] (GrandCastle) Collapse danger: the castle is too old",
	))
}

func TestFormatter_PrintLogWithColor(t *testing.T) {

	uploadID := r.Form.Get(xhttp.UploadID)
	partIDString := r.Form.Get(xhttp.PartNumber)

	partID, err := strconv.Atoi(partIDString)
	if err != nil || partID <= 0 {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrInvalidPart), r.URL)
		return
	}

	// check partID with maximum part ID for multipart objects
	if isMaxPartID(partID) {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrInvalidMaxParts), r.URL)
		return
	}

- TensorFlow installed from (source or binary):
- TensorFlow version (or github SHA if from source):


**Provide the text output from tflite_convert**

```
# Copy and paste here
```

**Standalone code to reproduce the issue** 
Provide a reproducible test case that is the bare minimum necessary to generate
the problem. If possible, please share a link to Colab/Jupyter/any notebook.

utilisez.

Vous pouvez **déployer un serveur** vous-même en utilisant une combinaison d'outils, vous pouvez utiliser un **service
cloud** qui fait une partie du travail pour vous, ou encore d'autres options possibles.

Je vais vous montrer certains des principaux concepts que vous devriez probablement avoir à l'esprit lors du déploiement

    see! value: render: shell validations: required: true

-   type: textarea id: logs attributes: label: Relevant log output description:
    Please copy and paste any relevant log output. This will be automatically

	}
}

var derivePartKeyTest = []struct {
	PartID  uint32
	PartKey string
}{
	{PartID: 0, PartKey: "aa7855e13839dd767cd5da7c1ff5036540c9264b7a803029315e55375287b4af"},
	{PartID: 1, PartKey: "a3e7181c6eed030fd52f79537c56c4d07da92e56d374ff1dd2043350785b37d8"},
	{PartID: 10000, PartKey: "f86e65c396ed52d204ee44bd1a0bbd86eb8b01b7354e67a3b3ae0e34dd5bd115"},
}

	hasZone := zoneOffset != 0
	hasFracSecond := t.Nanosecond() != 0
	hasSecond := t.Second() != 0
	hasTime := t.Hour() != 0 || t.Minute() != 0
	hasDay := t.Day() != 1
	hasMonth := t.Month() != 1

	switch {
	case hasFracSecond:
		return t.Format(layoutNanosecond)
	case hasSecond:
		return t.Format(layoutSecond)
	case hasTime || hasZone:
		return t.Format(layoutMinute)
	case hasDay:
		return t.Format(layoutDay)

    validations:
      required: true
  - type: textarea
    id: screenshot
    attributes:
      label: "Screenshot"
      description: "Please paste a screenshot of the page."
    validations:
      required: false
  - type: textarea
    id: what-did-you-do
    attributes:
      label: "What did you do?"

import okio.BufferedSource
import okio.ByteString.Companion.encodeUtf8
import okio.Options

class ServerSentEventReader(
  private val source: BufferedSource,
  private val callback: Callback,
) {
  private var lastId: String? = null

  interface Callback {
    fun onEvent(
      id: String?,
      type: String?,
      data: String,
    )

    fun onRetryChange(timeMs: Long)
  }

  /**