// Sets `value` to the binary-serialized TensorShapeProto of the value of
// `attr_name` attribute of `oper`.
TF_CAPI_EXPORT extern void TF_OperationGetAttrTensorShapeProto(
    TF_Operation* oper, const char* attr_name, TF_Buffer* value,
    TF_Status* status);

// Fills in `values` with binary-serialized TensorShapeProto values of the

  EXPECT_TF_META("v", -1, TF_ATTR_TENSOR, -1);
  TF_Tensor* value;
  TF_OperationGetAttrTensor(oper, "v", &value, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  ASSERT_NE(nullptr, value);
  EXPECT_EQ(TF_INT8, TF_TensorType(value));
  EXPECT_EQ(ndims, TF_NumDims(value));
  for (int i = 0; i < TF_NumDims(value); ++i) {
    EXPECT_EQ(dims[i], TF_Dim(value, i)) << i;
  }

null==a?"":a+""})),b=n.valHooks[this.type]||n.valHooks[this.nodeName.toLowerCase()],b&&"set"in b&&void 0!==b.set(this,e,"value")||(this.value=e))});if(e)return b=n.valHooks[e.type]||n.valHooks[e.nodeName.toLowerCase()],b&&"get"in b&&void 0!==(c=b.get(e,"value"))?c:(c=e.value,"string"==typeof c?c.replace(bc,""):null==c?"":c)}}}),n.extend({valHooks:{option:{get:function(a){var b=n.find.attr(a,"value");return null!=b?b:n.trim(n.text(a))}},select:{get:function(a){for(var b,c,d=a.options,e=a.selectedIndex,f="se...

     *
     * @param name The property name
     * @param value The property value
     */
    public void addHttpClientProperty(final String name, final Object value) {
        if (StringUtil.isNotBlank(name) && value != null) {
            httpClientPropertyMap.put(name, value);
        }
    }

    /**
     * Processes robots.txt for the given URL.

	TLBI	IPAS2LE1, R15                      // af840cd5
	TLBI	VAE2, R16                          // 30870cd5
	TLBI	VALE2, R17                         // b1870cd5
	TLBI	VAE3IS, ZR                         // 3f830ed5
	TLBI	VALE3IS, R19                       // b3830ed5
	TLBI	VAE3, R20                          // 34870ed5
	TLBI	VALE3, R21                         // b5870ed5
	TLBI	VAE1OS, R22                        // 368108d5

        [],
    ),
    values = if_oss(
        {"crosstool_top": "//external:android/crosstool"},
        {},
    ),
    visibility = ["//visibility:public"],
)

config_setting(
    name = "android_x86",
    constraint_values =
        [
            "@platforms//cpu:x86_32",
            "@platforms//os:android",
        ],
    values = dict(
        if_oss(

CommandLineParser$OptionParserState { private final CommandLineParser$OptionString optionString; private final CommandLineOption option; private final ParsedCommandLine commandLine; private final CommandLineParser$ParserState state; private final java.util.List values; private void CommandLineParser$KnownOptionParserSta(CommandLineParser, CommandLineParser$OptionString, CommandLineOption, ParsedCommandLine, CommandLineParser$ParserState); public CommandLineParser$ParserState onArgument(String); public CommandL...

		if input == nil && clone != nil {
			t.Errorf("Clone(%#v) return value should be equal to nil slice.", input)
		}

		if input != nil && clone == nil {
			t.Errorf("Clone(%#v) return value should not be equal to nil slice.", input)
		}

		if cap(input) != 0 && unsafe.SliceData(input) == unsafe.SliceData(clone) {
			t.Errorf("Clone(%q) return value should not reference inputs backing memory.", input)
		}
	}

#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

// Specification for expected input/output and its type.
// DataType value of DT_INVALID signifies that we don't want to
// check the data type.
typedef std::pair<string, DataType> IOSpec;

const char* kFeedStackToString = "File \"feed.cc\", line 10, in alpha";

				"text/prs.lines.tag",
				"text/red",
				"text/rfc822-headers",
				"text/richtext",
				"text/rtp-enc-aescm128",
				"text/rtx",
				"text/sgml",
				"text/t140",
				"text/tab-separated-values",
				"text/troff",
				"text/ulpfec",
				"text/uri-list",
				"text/vnd.abc",
				"text/vnd.curl",
				"text/vnd.curl.dcurl",
				"text/vnd.curl.scurl",
				"text/vnd.curl.mcurl",