ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  float product[4] = {0};
  EXPECT_EQ(sizeof(product), TF_TensorByteSize(t));
  memcpy(&product[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(7, product[0]);
  EXPECT_EQ(10, product[1]);
  EXPECT_EQ(15, product[2]);
  EXPECT_EQ(22, product[3]);

  TFE_DeleteTensorHandle(h0_task0);
  TFE_DeleteTensorHandle(h1_task0);

package com.example.myproduct.app

import android.app.Activity
import android.os.AsyncTask
import android.os.Bundle
import android.text.Html
import android.text.method.LinkMovementMethod
import android.widget.ScrollView
import android.widget.TableLayout
import android.widget.TableRow
import android.widget.TextView
import com.example.myproduct.user.table.TableBuilder


class MyProductAppActivity : Activity() {

                writer.println("    products: [");
                for (AbstractProduct product : srcPackage.getProducts()) {
                    if (product.isExecutable()) {
                        writer.print("        .executable(");
                        writer.print("name: \"");
                        writer.print(product.getName());
                        writer.print("\"");
                    } else {

// This program tests arbitrary precision constant arithmetic
// by generating the constant elements of a Hilbert matrix H,
// its inverse I, and the product P = H*I. The product should
// be the identity matrix.
package main

func main() {
	if !ok {
		print()
		return
	}
}

// Hilbert matrix, n = 2
const (
	h0_0, h0_1 = 1.0 / (iota + 1), 1.0 / (iota + 2)

// by generating the constant elements of a Hilbert matrix H,
// its inverse I, and the product P = H*I. The product should
// be the identity matrix.
package main

func main() {
	if !ok {
		printProduct()
		return
	}
	println("PASS")
}

`, n, out)
	g.hilbert(n)
	g.inverse(n)
	g.product(n)
	g.verify(n)
	g.printProduct(n)
	g.binomials(2*n - 1)
	g.factorials(2*n - 1)

  TFE_DeleteTensorHandle(retval_task0);
  float product[4] = {0};
  EXPECT_EQ(sizeof(product), TF_TensorByteSize(t));
  memcpy(&product[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(7, product[0]);
  EXPECT_EQ(10, product[1]);
  EXPECT_EQ(15, product[2]);
  EXPECT_EQ(22, product[3]);

  TFE_DeleteTensorHandle(h0_task0);
  TFE_DeleteTensorHandle(h1_task0);

    }

    def "getProductName"() {
        expectProperty("org.gradle.internal.xcode.bridge.PRODUCT_NAME", "myproduct")

        expect:
        xcodePropertyAdapter.productName == "" // default value
        xcodePropertyAdapter.productName == "myproduct"
    }

    def "getConfiguration"() {
        expectProperty("org.gradle.internal.xcode.bridge.CONFIGURATION", "configuration")

		return cmp.Or(
			strings.Compare(a.Customer, b.Customer),
			strings.Compare(a.Product, b.Product),
			cmp.Compare(b.Price, a.Price),
		)
	})
	for _, order := range orders {
		fmt.Printf("%s %s %.2f\n", order.Product, order.Customer, order.Price)
	}

	// Output:
	// foo alice 2.00
	// foo alice 1.00
	// bar bob 3.00
	// foo bob 4.00
	// bar carol 1.00
	// baz carol 4.00

// by generating the constant elements of a Hilbert matrix H,
// its inverse I, and the product P = H*I. The product should
// be the identity matrix.
package main

func main() {
	if !ok {
		printProduct()
		return
	}
	println("PASS")
}

`, n, out)
	g.hilbert(n)
	g.inverse(n)
	g.product(n)
	g.verify(n)
	g.printProduct(n)
	g.binomials(2*n - 1)
	g.factorials(2*n - 1)

#     ; MEMBER       = SEQ_MEMBER
#     ; MEMBER_LOGIN = SEQ_MEMBER_LOGIN
#     ; PRODUCT      = SEQ_PRODUCT
# }
#
# *The line that starts with '#' means comment-out.
#
map:{
    #; PURCHASE     = SEQ_PURCHASE
    #; MEMBER       = SEQ_MEMBER
    #; MEMBER_LOGIN = SEQ_MEMBER_LOGIN
    #; PRODUCT      = SEQ_PRODUCT
}