TF_Status* status) {
  const tensorflow::AttrValue* attr = oper->node.attrs().Find(attr_name);
  if (attr == nullptr) {
    status->status = InvalidArgument("Operation '", oper->node.name(),
                                     "' has no attr named '", attr_name, "'.");
  }
  return attr;
}

TensorId ToTensorId(const TF_Output& output) {

    margin-right: 0.75em;
    color: var(--color-text-subtle);
}

[data-ty="input"]:before {
    content: '$';
}

[data-ty][data-ty-prompt]:before {
    content: attr(data-ty-prompt);
}

[data-ty-cursor]:after {
    content: attr(data-ty-cursor);
    font-family: monospace;
    margin-left: 0.5em;
    -webkit-animation: blink 1s infinite;
            animation: blink 1s infinite;
}

  bool found_value = false;
  for (const auto& attr : node_def.attr()) {
    if (attr.first == "dtype") {
      if (attr.second.type() == tensorflow::DT_INT32) {
        found_dtype = true;
      } else {
        return false;
      }
    } else if (attr.first == "value") {
      if (attr.second.has_tensor() &&
          attr.second.tensor().int_val_size() == 1 &&
          attr.second.tensor().int_val(0) == v) {

		l.log(ctx, slog.LevelError, "SQL executed", slog.Attr{
			Key:   "trace",
			Value: slog.GroupValue(fields...),
		})

	case l.SlowThreshold != 0 && elapsed > l.SlowThreshold:
		l.log(ctx, slog.LevelWarn, "SQL executed", slog.Attr{
			Key:   "trace",
			Value: slog.GroupValue(fields...),
		})

	case l.LogLevel >= Info:
		l.log(ctx, slog.LevelInfo, "SQL executed", slog.Attr{
			Key:   "trace",

        Element head = document.head();

        head.appendElement("link")
            .attr("rel", "stylesheet")
            .attr("href", "https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.9.0/styles/github.min.css");

        head.appendElement("script")
            .attr("src", "https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.9.0/highlight.min.js");

        head.appendElement("script")

pkg sync, method (*WaitGroup) Go(func()) #63796
pkg testing, method (*B) Attr(string, string) #43936
pkg testing, method (*B) Output() io.Writer #59928
pkg testing, method (*F) Attr(string, string) #43936
pkg testing, method (*F) Output() io.Writer #59928
pkg testing, method (*T) Attr(string, string) #43936
pkg testing, method (*T) Output() io.Writer #59928
pkg testing, type TB interface, Attr(string, string) #43936

  ASSERT_EQ(func_->record->fdef().signature().attr().size(), 2);
  EXPECT_EQ(func_->record->fdef().signature().attr(0).name(), "v1");
  EXPECT_EQ(func_->record->fdef().signature().attr(0).type(), "int");
  EXPECT_EQ(func_->record->fdef().signature().attr(1).name(), "v2");
  EXPECT_EQ(func_->record->fdef().signature().attr(1).type(), "int");
}

# Copy from Pydantic v2, compatible with v1
if sys.version_info < (3, 10):
    WithArgsTypes: tuple[Any, ...] = (typing._GenericAlias, types.GenericAlias)  # type: ignore[attr-defined]
else:
    WithArgsTypes: tuple[Any, ...] = (
        typing._GenericAlias,  # type: ignore[attr-defined]
        types.GenericAlias,
        types.UnionType,
    )  # pyright: ignore[reportAttributeAccessIssue]

}


# TODO: remove when dropping support for Pydantic < v2.12.3
def asdict(field_info: FieldInfo) -> dict[str, Any]:
    attributes = {}
    for attr in _Attrs:
        value = getattr(field_info, attr, Undefined)
        if value is not Undefined:
            attributes[attr] = value
    return {
        "annotation": field_info.annotation,
        "metadata": field_info.metadata,
        "attributes": attributes,
    }

@pybind11_abseil//pybind11_abseil
//external
@local
@com_github_googlecloudplatform_google_cloud_cpp//
@embedded_jdk//
^//$
@ml_dtypes_py//
@ruy//
@rules_ml_toolchain//
EOF

  license_query "attr('licenses', 'notice', deps($BUILD_TARGET))" > $BATS_TEST_TMPDIR/expected_licenses
  license_query "deps($LICENSES_TARGET)" > $BATS_TEST_TMPDIR/actual_licenses