reader io.Reader
	// recordDelimiter can be up to 2 characters.
	recordDelimiter []byte
	oneByte         []byte
	useOneByte      bool
}

func (rr *recordTransform) Read(p []byte) (n int, err error) {
	if rr.useOneByte {
		p[0] = rr.oneByte[0]
		rr.useOneByte = false
		n, err = rr.reader.Read(p[1:])
		n++
	} else {
		n, err = rr.reader.Read(p)
	}

	if err != nil {
		return n, err
	}

		},
	}

	for _, testCase := range testCases {
		testCase := testCase
		t.Run("", func(t *testing.T) {
			tmpfile, err := os.CreateTemp("", "testfile")
			if err != nil {
				t.Error(err)
			}
			tmpfile.WriteString(testCase.stat)
			tmpfile.Sync()
			tmpfile.Close()

			iostats, err := readDriveStats(tmpfile.Name())
			if err != nil && !testCase.expectErr {

app = FastAPI()


class InternalError(Exception):
    pass


def get_username():
    try:
        yield "Rick"
    except InternalError:
        print("We don't swallow the internal error here, we raise again 😎")
        raise


@app.get("/items/{item_id}")
def get_item(item_id: str, username: Annotated[str, Depends(get_username)]):
    if item_id == "portal-gun":
        raise InternalError(

// Code generated by "stringer -type=rebalStatus -trimprefix=rebal erasure-server-pool-rebalance.go"; DO NOT EDIT.

package cmd

import "strconv"

func _() {
	// An "invalid array index" compiler error signifies that the constant values have changed.
	// Re-run the stringer command to generate them again.
	var x [1]struct{}
	_ = x[rebalNone-0]
	_ = x[rebalStarted-1]
	_ = x[rebalCompleted-2]
	_ = x[rebalStopped-3]
	_ = x[rebalFailed-4]
}

  optional bool allowed = 1;

  // Reason should be empty unless Allowed is false in which case it
  // may contain a short description of what is wrong.  Kubernetes
  // may truncate excessively long errors when displaying to the user.
  // +optional
  optional string reason = 2;

  // AuditAnnotations will be added to the attributes object of the
  // admission controller request using 'AddAnnotation'.  The keys should

                    .writer()
                    .println(
                            messageBuilderFactory
                                    .builder()
                                    .error(
                                            "Error: configuration exist. Use --force if you want to reset existing configuration."));
            return BAD_OPERATION;
        }

        SettingsSecurity config = secDispatcher.readConfiguration(true);

    val event = listener.removeUpToEvent(ConnectionEvent.ConnectFailed::class.java)
    assertThat(event.route.socketAddress).isEqualTo(expectedAddress)

    // Read error: ssl=0x7fd1d8d0fee8: Failure in SSL library, usually a protocol error
    if (!platform.isConscrypt()) {
      assertThat(event.exception).hasMessage("Unexpected handshake message: client_hello")
    }
  }

  @Test
  @Throws(IOException::class)

      - uses: actions/setup-java@v4
        with:
          java-version: ${{ matrix.java }}
          distribution: 'temurin'
          cache: 'maven'

      - name: Set up Maven
        run:
          mvn --errors --batch-mode --show-version org.apache.maven.plugins:maven-wrapper-plugin:3.3.2:wrapper "-Dmaven=3.9.7"

      - name: Build with Maven
        run: ./mvnw install -e -B -V -DdistributionFileName=apache-maven

Java serialization is inherently Java-centric and does not support cross-language scenarios well.

- **Type Safety:**
Java serialization does not enforce type safety as strictly as some alternatives, potentially leading to runtime errors.

## Decision

We do not use Java serialization.
Instead, we use custom serialization where we explicitly describe how data objects should be serialized and deserialized.

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)
- Include code to invoke the TFLite Converter Python API and the errors.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong: