{ "name": "7.x", "checked": true },
    "7.15",
    "7.14",
    "6.8"
  ],
  "targetPRLabels": ["backport"],
  "branchLabelMapping": {
    "^v8.0.0$": "master",
    "^v7.16.0$": "7.x",
    "^v(\\d+).(\\d+).\\d+$": "$1.$2"
  }

    public static final String STRING_CONST = 'some-string'
    static final Object OBJECT_CONST = new GroovyClassWithConstants()
    static final def BIG_DECIMAL_CONST = 1.02

    String ignored = 'ignore'
    final int ignored2 = 1001
    static def ignored3

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{
	"id": "0001",
	"type": "donut",
	"name": "Cake",
	"ppu": 0.55,
	"batters":
		{
			"batter":
				[
					{ "id": "1001", "type": "Regular" },
					{ "id": "1002", "type": "Chocolate" },
					{ "id": "1003", "type": "Blueberry" },
					{ "id": "1004", "type": "Devil's Food" }
				]
		},
	"topping":
		[
			{ "id": "5001", "type": "None" },
			{ "id": "5002", "type": "Glazed" },
			{ "id": "5005", "type": "Sugar" },

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513a8534701579cccaf5953ea914416b4696c\\kotlin-script-runtime-1.9.10.jar;C:\\tcagent1\\work\\f63322e10dd6b396\\intTestHomeDir\\distributions-full\\caches\\modules-2\\files-2.1\\org.jetbrains.kotlin\\kotlin-reflect\\1.6.10\\1cbe9c92c12a94eea200d23c2bbaedaf3daf5132\\kotlin-reflect-1.6.10.jar;C:\\tcagent1\\work\\f63322e10dd6b396\\intTestHomeDir\\distributions-full\\caches\\modules-2\\files-2.1\\org.jetbrains.kotlin\\kotlin-daemon-embeddable\\1.9.10\\bda2f7daa6b89d2ded2d9e1e0b0cadaf9446ade1\\kotlin-d...

---
name: TensorFlow Lite Op Request
about: Use this template for reporting Lite ops you are using or missing
labels: 'comp:lite'

---

**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- 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
```

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�
Ղ�Type
�V2Obj��ID�PPb�I(��e��(�ǤDDir�+O~A߂J...

        response.getServerData().scapabilities = SmbConstants.CAP_EXTENDED_SECURITY;
        // Use reflection to set protected byteCount field
        int byteCountValue = 16 + 10; // guid + token
        setByteCount(response, byteCountValue);
        byte[] buffer = new byte[byteCountValue];
        byte[] guid = new byte[16];
        for (int i = 0; i < 16; i++) {

about: Use this template for reporting issues during model conversion to TFLite
labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code