*/

package org.gradle.test.fixtures.server

import groovy.transform.CompileStatic

@CompileStatic
abstract class ExpectOne extends OneRequestServerExpectation {

    @Override
    void assertMet() {
        if (!run) {
            throw new AssertionError(notMetMessage as Object)
        }
    }

    abstract String getNotMetMessage()

    Status s =
        BuildImmediateExecutionContext(std::get<1>(GetParam()), &ctx_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    ctx.reset(ctx_raw);
  }

  AbstractTensorHandlePtr x;
  {
    AbstractTensorHandle* x_raw = nullptr;
    Status s = TestScalarTensorHandle<float, TF_FLOAT>(ctx.get(), 1.0f, &x_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    x.reset(x_raw);
  }

  // Pseudo-code:

		return true
	}

	return false
}

// assertOp asserts that n is an op.
func assertOp(n ir.Node, op ir.Op) {
	base.AssertfAt(n.Op() == op, n.Pos(), "want %v, have %v", op, n)
}

// assertOp2 asserts that n is an op1 or op2.
func assertOp2(n ir.Node, op1, op2 ir.Op) {
	base.AssertfAt(n.Op() == op1 || n.Op() == op2, n.Pos(), "want %v or %v, have %v", op1, op2, n)
}

        BuildImmediateExecutionContext(std::get<1>(GetParam()), &ctx_raw);
    ASSERT_EQ(tensorflow::errors::OK, s.code()) << s.message();
    ctx.reset(ctx_raw);
  }

  // Construct a scalar.
  impl::TaggedValueTensor x;
  {
    AbstractTensorHandle* x_raw = nullptr;
    Status s = TestScalarTensorHandle<float, TF_FLOAT>(ctx.get(), 2.0f, &x_raw);
    ASSERT_EQ(tensorflow::errors::OK, s.code()) << s.message();
    x.reset(x_raw, false);
  }

  TFE_TensorHandle* h = TestScalarTensorHandle(ctx, 1.0f);
  TFE_TensorDebugInfo* debug_info = TFE_TensorHandleTensorDebugInfo(h, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  ASSERT_EQ(0, TFE_TensorDebugInfoOnDeviceNumDims(debug_info));

  TFE_DeleteTensorDebugInfo(debug_info);
  TFE_DeleteTensorHandle(h);
  TFE_DeleteContext(ctx);
  TF_DeleteStatus(status);
}

TEST(CApiDebug, 2DCPU) {

                                     &outputs_));
  }

  void CreateBackprop() {
    TF_ASSERT_OK(
        AddSymbolicGradients(scope_, outputs_, inputs_, &grad_outputs_));
    ASSERT_EQ(grad_outputs_.size(), inputs_.size());
  }

  template <typename T>
  void Run(const std::vector<Input::Initializer>& input_values,
           const std::vector<T>& expected_grad_values) {

  }
};

// This specialization is used when the first argument to ASSERT_EQ()
// is a null pointer literal, like NULL, false, or 0.
template <>
class EqHelper<true> {
 public:
  // We define two overloaded versions of Compare().  The first
  // version will be picked when the second argument to ASSERT_EQ() is
  // NOT a pointer, e.g. ASSERT_EQ(0, AnIntFunction()) or
  // EXPECT_EQ(false, a_bool).

  }
};

// This specialization is used when the first argument to ASSERT_EQ()
// is a null pointer literal, like NULL, false, or 0.
template <>
class EqHelper<true> {
 public:
  // We define two overloaded versions of Compare().  The first
  // version will be picked when the second argument to ASSERT_EQ() is
  // NOT a pointer, e.g. ASSERT_EQ(0, AnIntFunction()) or
  // EXPECT_EQ(false, a_bool).

        }

    repr_ds = data_gen()
    self.assertIsNone(repr_dataset.get_num_samples(repr_ds))

    # Make sure that the __next__() is never called during the
    # get_num_samples call.
    self.assertLen(list(repr_ds), num_samples)

  def test_get_num_samples_returns_none_when_len_raises_error(self):
    class LenRaisingError:
      """A test-only class that raises an error when len() is called.

#include "gtest/gtest.h"
#include "${generatedId}/header.h"

using namespace testing;
<%
if (hasTests) {
    out.println """
TEST(GeneratedTests, test_lib) {
    ASSERT_EQ(0, function_${generatedId}());
}"""
}
%>

int main(int argc, char **argv) {
  testing::InitGoogleTest(&argc, argv);
  return RUN_ALL_TESTS();