* @return the current column number
     */
    int getColumnNumber();

    /**
     * Return the byte or character offset into the input source this location
     * is pointing to. If the input source is a file or a byte stream then
     * this is the byte offset into that stream, but if the input source is
     * a character media then the offset is the character offset.
     * Returns -1 if there is no offset available.

                                        <div class="form-check">
                                            <la:checkbox styleId="jobLogging" styleClass="form-check-input" property="jobLogging"/>
                                            <label for="jobLogging" class="form-check-label">
                                                <la:message key="labels.enabled"/>

name: "Notify Translations"
description: "Notify in the issue for a translation when there's a new PR available"
author: "Sebastián Ramírez <******@****.***>"
inputs:
  token:
    description: 'Token, to read the GitHub API. Can be passed in using {{ secrets.GITHUB_TOKEN }}'
    required: true
runs:
  using: 'docker'

                   const char* raw_device_name, ForwardOperation*);

// Records the inputs in the `ForwardOperation`.
absl::Status AddInput(AbstractOperation*, AbstractTensorHandle*,
                      ForwardOperation*);
absl::Status AddInputList(AbstractOperation*,
                          absl::Span<AbstractTensorHandle* const> inputs,
                          ForwardOperation*);

// Sets the attrs in the `ForwardOperation`.

 * Each line of the `urltestdata.txt` file specifies a test. Lines look like this:
 *
 * ```
 * http://example\t.\norg http://example.org/foo/bar s:http h:example.org p:/
 * ```
 */
class WebPlatformUrlTestData {
  var input: String? = null
  var base: String? = null
  var scheme = ""
  var username = ""
  var password: String? = null
  var host = ""
  var port = ""
  var path = ""
  var query = ""
  var fragment = ""

        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["body", "foo", "[key]"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

// just enough to support pprof.
//
// Usage:
//
//	go tool addr2line binary
//
// Addr2line reads hexadecimal addresses, one per line and with optional 0x prefix,
// from standard input. For each input address, addr2line prints two output lines,
// first the name of the function containing the address and second the file:line
// of the source code corresponding to that address.
//

// A compute function. This will never actually get called in this test, it's
// just nice to know that it compiles.
void compute(void* kernel, TF_OpKernelContext* ctx) {
  TF_Tensor* input;
  TF_Status* s = TF_NewStatus();
  TF_GetInput(ctx, 0, &input, s);
  TF_DeleteTensor(input);
  TF_DeleteStatus(s);
}

// Exercises tensorflow's C API.
int main(int argc, char** argv) {
  TF_InitMain(argv[0], &argc, &argv);

  }

  public void testHashIntReverseBytesVsHashBytesIntsToByteArray() {
    int input = 42;
    assertEquals(
        Hashing.md5().hashBytes(Ints.toByteArray(input)),
        Hashing.md5().hashInt(Integer.reverseBytes(input)));
  }

  public void testHashIntVsForLoop() {
    int input = 42;
    HashCode expected = Hashing.md5().hashInt(input);

    Hasher hasher = Hashing.md5().newHasher();

	}, {
		input: makeInput(FormatGNU, "",
			makeSparseStrings(sparseDatas{{10 << 30, 512}, {20 << 30, 512}})...),
		wantMap: sparseDatas{{10 << 30, 512}, {20 << 30, 512}},
	}}

	for i, v := range vectors {
		var blk block
		var hdr Header
		v.input = v.input[copy(blk[:], v.input):]
		tr := Reader{r: bytes.NewReader(v.input)}
		got, err := tr.readOldGNUSparseMap(&hdr, &blk)
		if !slices.Equal(got, v.wantMap) {