pkg debug/dwarf, const AttrCallValue = 126
pkg debug/dwarf, const AttrCallValue Attr
pkg debug/dwarf, const AttrConstExpr = 108
pkg debug/dwarf, const AttrConstExpr Attr
pkg debug/dwarf, const AttrDataBitOffset = 107
pkg debug/dwarf, const AttrDataBitOffset Attr
pkg debug/dwarf, const AttrDecimalScale = 92
pkg debug/dwarf, const AttrDecimalScale Attr
pkg debug/dwarf, const AttrDecimalSign = 94
pkg debug/dwarf, const AttrDecimalSign Attr

        # TODO: remove when deprecating Pydantic v1
        encoders: Dict[Any, Any] = {}
        if not PYDANTIC_V2:
            encoders = getattr(obj.__config__, "json_encoders", {})  # type: ignore[attr-defined]
            if custom_encoder:
                encoders.update(custom_encoder)
        obj_dict = _model_dump(
            obj,
            mode="json",
            include=include,

    ):
        self.dependency = dependency
        self.use_cache = use_cache

    def __repr__(self) -> str:
        attr = getattr(self.dependency, "__name__", type(self.dependency).__name__)
        cache = "" if self.use_cache else ", use_cache=False"
        return f"{self.__class__.__name__}({attr}{cache})"


class Security(Depends):
    def __init__(
        self,

        "//tensorflow/core:lib",
        "@com_google_absl//absl/memory",
    ],
)

cc_library(
    name = "tfe_op_attrs_internal",
    hdrs = ["tfe_op_attrs_internal.h"],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        ":abstract_op_attrs",
        "//tensorflow/c:conversion_macros",
        "//tensorflow/c:tf_status",
        "//tensorflow/core:protos_all_cc",
    ],

    custom_fences:
    - name: mermaid
      class: mermaid
      format: !!python/name:pymdownx.superfences.fence_code_format ''
  pymdownx.tabbed:
    alternate_style: true
  pymdownx.tilde: null
  attr_list: null
  md_in_html: null
extra:
  analytics:
    provider: google
    property: G-YNEVN69SC3
  social:
  - icon: fontawesome/brands/github-alt
    link: https://github.com/tiangolo/fastapi

    override fun visitTypeAnnotation(typeRef: Int, typePath: TypePath?, desc: String?, visible: Boolean): AnnotationVisitor? = null
    override fun visitAttribute(attr: Attribute?) = Unit
    override fun visitInnerClass(name: String?, outerName: String?, innerName: String?, access: Int) = Unit

			expectedErr: errors.New("expected element type <Status> but have <MyStatus>"),
			expectErr:   true,
		},
		// invalid XML attr
		{
			value:       `<?xml version="1.0" encoding="UTF-8"?><UnknownLegalHold xmlns="http://s3.amazonaws.com/doc/2006-03-01/"><Status>ON</Status></UnknownLegalHold>`,

			b.uint32(h.UncompressedSize)
		}

		b.uint16(uint16(len(h.Name)))
		b.uint16(uint16(len(h.Extra)))
		b.uint16(uint16(len(h.Comment)))
		b = b[4:] // skip disk number start and internal file attr (2x uint16)
		b.uint32(h.ExternalAttrs)
		if h.offset > uint32max {
			b.uint32(uint32max)
		} else {
			b.uint32(uint32(h.offset))
		}
		if _, err := w.cw.Write(buf[:]); err != nil {
			return err
		}

            }
        }
        else {
            Trans2FindFirst2 req = new Trans2FindFirst2(
                tf.getConfig(),
                "\\",
                "*",
                SmbConstants.ATTR_DIRECTORY,
                tf.getConfig().getListCount(),
                tf.getConfig().getListSize());
            Trans2FindFirst2Response resp = new Trans2FindFirst2Response(tf.getConfig());
            try {

// while `op` is alive.
TF_CAPI_EXPORT extern const TFE_OpAttrs* TFE_OpGetAttrs(const TFE_Op* op);
// Add attributes in `attrs` to `op`.
//
// Does not overwrite or update existing attributes, but adds new ones.
TF_CAPI_EXPORT extern void TFE_OpAddAttrs(TFE_Op* op, const TFE_OpAttrs* attrs);

// Serialize `attrs` as a tensorflow::NameAttrList protocol buffer (into `buf`),
// containing the op name and a map of its attributes.