#include "tensorflow/core/common_runtime/shape_refiner.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/graph/node_builder.h"
#include "tensorflow/core/platform/mutex.h"
#include "tensorflow/core/platform/status.h"

==============================================================================*/

#ifndef TENSORFLOW_C_C_API_MACROS_INTERNAL_H_
#define TENSORFLOW_C_C_API_MACROS_INTERNAL_H_

#ifdef __cplusplus
#include "tensorflow/core/platform/status.h"

// Macro to verify that the field `struct_size` of STRUCT_OBJ is initialized.
// `struct_size` is used for struct member compatibility check between core TF
// and plug-ins with the same C API minor version. More info here:

Haibo Huang <******@****.***> 1683952821 -0700

		if u, ok := userMap.Load(h.Uid); ok {
			h.Uname = u.(string)
		} else if u, err := user.LookupId(strconv.Itoa(h.Uid)); err == nil {
			h.Uname = u.Username
			userMap.Store(h.Uid, h.Uname)
		}
		if g, ok := groupMap.Load(h.Gid); ok {
			h.Gname = g.(string)
		} else if g, err := user.LookupGroupId(strconv.Itoa(h.Gid)); err == nil {
			h.Gname = g.Name
			groupMap.Store(h.Gid, h.Gname)
		}
	}

    int bufLen = 0;
    long h = 0;
    for (int i = 0; i < iterations; ++i) {
      h ^= fingerprint(buf, i);
      h = remix(h);
      buf[bufLen++] = getChar(h);

      h ^= fingerprint(buf, i * i % bufLen);
      h = remix(h);
      buf[bufLen++] = getChar(h);

      h ^= fingerprint(buf, i * i * i % bufLen);
      h = remix(h);
      buf[bufLen++] = getChar(h);

      h ^= fingerprint(buf, bufLen);

		m.Set(erasureSetHealth, b2f(h.Healthy), labels...)

		readHealthy := true
		readTolerance := float64(h.HealthyDrives - h.ReadQuorum)
		if readTolerance < 0 {
			readHealthy = false
		}
		m.Set(erasureSetReadTolerance, readTolerance, labels...)
		m.Set(erasureSetReadHealth, b2f(readHealthy), labels...)

		writeHealthy := true
		writeTolerance := float64(h.HealthyDrives + h.HealingDrives - h.WriteQuorum)

		},
		{
			callbacks: []callback{{h: c1}, {h: c2}, {h: c3}, {h: c4, after: "c5"}, {h: c5}},
			results:   []string{"c1", "c2", "c3", "c5", "c4"},
		},
		{
			callbacks: []callback{{h: c1}, {h: c2}, {h: c3}, {h: c4, after: "c5"}, {h: c5, before: "c4"}},
			results:   []string{"c1", "c2", "c3", "c5", "c4"},
		},
		{
			callbacks: []callback{{h: c1}, {h: c2, before: "c4", after: "c5"}, {h: c3}, {h: c4}, {h: c5}},

uccessElementClass),g="true"===b.valAttr("optional"),h=b.hasClass(d.errorElementClass);if(h||!f&&!g)return e=!1,!1}}),e}a.formUtils.registerLoadedModule("toggleDisabled");var e=function(a,b){"disabled"===b?a.find('*[type="submit"]').addClass("disabled").attr("disabled","disabled"):a.find('*[type="submit"]').removeClass("disabled").removeAttr("disabled")},f=!1;a.formUtils.$win.bind("validatorsLoaded formValidationSetup",function(b,g,h){var i=h.disabledFormFilter?g.filter(h.disabledFormFilter):g,j...

  cp tensorflow/c/c_api.h \
    tensorflow/c/tf_attrtype.h \
    tensorflow/c/tf_buffer.h  \
    tensorflow/c/tf_datatype.h \
    tensorflow/c/tf_status.h \
    tensorflow/c/tf_tensor.h \
    tensorflow/c/tf_tensor_helper.h \
    tensorflow/c/tf_tstring.h \
    tensorflow/c/tf_file_statistics.h \
    tensorflow/c/tensor_interface.h \
    tensorflow/c/c_api_macros.h \
    tensorflow/c/c_api_experimental.h \

i=e.attr("max"),j=e.attr("min"),k=e.attr("step");j||i?(j||(j="0"),i||(i="9007199254740992"),k||(k="1"),h["data-validation-allowing"]="range["+j+";"+i+"]",0!==j.indexOf("-")&&0!==i.indexOf("-")||(h["data-validation-allowing"]+=",negative"),(j.indexOf(".")>-1||i.indexOf(".")>-1||k.indexOf(".")>-1)&&(h["data-validation-allowing"]+=",float")):h["data-validation-allowing"]+=",float,negative"}if(e.attr("pattern")&&(b.push("custom"),h["data-validation-regexp"]=e.attr("pattern")),e.attr("maxlength")&&(b.push("length"),h...