TF_Operation* const1 = FloatConst2x2(graph_, s_, const1_val, "Const_1");
    TF_Operation* matmul = MatMul(graph_, s_, const0, const1, "MatMul");
    inputs[0] = TF_Output{const0, 0};
    inputs[1] = TF_Output{const1, 0};
    outputs[0] = TF_Output{matmul, 0};
    EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  }

  void BuildExpectedGraph(bool grad_inputs_provided,

	MOVBU.W	-0x00ffffff(R2), R1  // MOVBU.W -16777215(R2), R1
	MOVB	R0, math·Exp(SB)     // MOVB R0, math.Exp(SB)
	MOVB	math·Exp(SB), R0     // MOVB math.Exp(SB), R0
	MOVBS	R0, math·Exp(SB)     // MOVBS R0, math.Exp(SB)
	MOVBS	math·Exp(SB), R0     // MOVBS math.Exp(SB), R0
	MOVBU	R0, math·Exp(SB)     // MOVBU R0, math.Exp(SB)
	MOVBU	math·Exp(SB), R0     // MOVBU math.Exp(SB), R0
	MOVB	R2, R0>>28(R1)                                    // 202ec1e7

build:windows --copt=/Zc:__cplusplus
build:windows --host_copt=/Zc:__cplusplus

# Tensorflow uses M_* math constants that only get defined by MSVC headers if
# _USE_MATH_DEFINES is defined.
build:windows --copt=/D_USE_MATH_DEFINES
build:windows --host_copt=/D_USE_MATH_DEFINES

# Windows has a relatively short command line limit, which TF has begun to hit.

                if (str != null) {
                    parallelism = Integer.parseInt(str);
                }
            } catch (Exception e) {
                // ignore
            }
            return Math.max(1, Math.min(parallelism, Runtime.getRuntime().availableProcessors()));
        }

        ProjectBuildingResult build(Path pomFile, ModelSource modelSource) throws ProjectBuildingException {

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package bytes_test

import (
	. "bytes"
	"fmt"
	"internal/testenv"
	"math"
	"math/rand"
	"reflect"
	"strings"
	"testing"
	"unicode"
	"unicode/utf8"
	"unsafe"
)

func eq(a, b []string) bool {
	if len(a) != len(b) {
		return false
	}
	for i := 0; i < len(a); i++ {

	"crypto/rsa"
	"crypto/sha1"
	"crypto/tls"
	"crypto/x509"
	"crypto/x509/pkix"
	"encoding/base64"
	"encoding/hex"
	"encoding/pem"
	"encoding/xml"
	"errors"
	"flag"
	"fmt"
	"io"
	"math/big"
	"math/rand"
	"net"
	"net/http"
	"net/http/httptest"
	"net/url"
	"os"
	"path"
	"path/filepath"
	"reflect"
	"sort"
	"strconv"
	"strings"
	"sync"
	"testing"
	"time"
	"unsafe"

            problems.add(Severity.FATAL, ModelProblem.Version.BASE, buffer.toString(), parent.getLocation(""), e);
            throw problems.newModelBuilderException();
        }

        int validationLevel = Math.min(request.getValidationLevel(), ModelBuilderRequest.VALIDATION_LEVEL_MAVEN_2_0);
        ModelBuilderRequest lenientRequest = ModelBuilderRequest.builder(request)
                .validationLevel(validationLevel)

        input.equals("%2e%2e", ignoreCase = true)
    }

    /**
     * Cuts this string up into alternating parameter names and values. This divides a query string
     * like `subject=math&easy&problem=5-2=3` into the list `["subject", "math", "easy", null,
     * "problem", "5-2=3"]`. Note that values may be null and may contain '=' characters.
     */
    private fun String.toQueryNamesAndValues(): MutableList<String?> {

   */
  private MapMakerInternalMap(MapMaker builder, InternalEntryHelper<K, V, E, S> entryHelper) {
    concurrencyLevel = Math.min(builder.getConcurrencyLevel(), MAX_SEGMENTS);

    keyEquivalence = builder.getKeyEquivalence();
    this.entryHelper = entryHelper;

    int initialCapacity = Math.min(builder.getInitialCapacity(), MAXIMUM_CAPACITY);

    // Find power-of-two sizes best matching arguments. Constraints:

        // we use a dedicated comparator because we control our model version scheme.
        String[] firstSegments = first.split("\\.");
        String[] secondSegments = second.split("\\.");
        for (int i = 0; i < Math.max(firstSegments.length, secondSegments.length); i++) {
            int result = Long.valueOf(i < firstSegments.length ? firstSegments[i] : "0")