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crate::ix!();

pub struct StringJoinOpTest {
    ws:  Workspace,
}

impl StringJoinOpTest {
    
    #[inline] pub fn run_op(&mut self, input: &Tensor) -> bool {
        
        todo!();
        /*
            auto* blob = ws_.CreateBlob("X");
        BlobSetTensor(blob, input.Alias());

        OperatorDef def;
        def.set_name("test");
        def.set_type("StringJoin");
        def.add_input("X");
        def.add_output("Y");

        auto op = CreateOperator(def, &ws_);
        return op->Run();
        */
    }
    
    #[inline] pub fn check_and_get_output(&mut self, output_size: i32) -> *const String {
        
        todo!();
        /*
            const auto* output = ws_.GetBlob("Y");
        EXPECT_NE(output, nullptr);
        EXPECT_TRUE(BlobIsTensorType(*output, CPU));
        const auto& outputTensor = output->Get<TensorCPU>();
        EXPECT_EQ(outputTensor.dim(), 1);
        EXPECT_EQ(outputTensor.size(0), outputSize);
        EXPECT_EQ(outputTensor.numel(), outputSize);
        return outputTensor.data<std::string>();
        */
    }
}

#[test] fn string_join_op_test_string1d_join() {
    todo!();
    /*
      std::vector<std::string> input = {"a", "xx", "c"};

      auto blob = std::make_unique<Blob>();
      auto* tensor = BlobGetMutableTensor(blob.get(), CPU);
      tensor->Resize(input.size());
      auto* data = tensor->template mutable_data<std::string>();
      for (const auto i : c10::irange(input.size())) {
        *data++ = input[i];
      }

      EXPECT_TRUE(runOp(*tensor));

      const auto* outputData = checkAndGetOutput(input.size());
      EXPECT_EQ(outputData[0], "a,");
      EXPECT_EQ(outputData[1], "xx,");
      EXPECT_EQ(outputData[2], "c,");
  */
}


#[test] fn string_join_op_test_string2d_join() {
    todo!();
    /*
      std::vector<std::vector<std::string>> input = {{"aa", "bb", "cc"},
                                                     {"dd", "ee", "ff"}};

      auto blob = std::make_unique<Blob>();
      auto* tensor = BlobGetMutableTensor(blob.get(), CPU);
      tensor->Resize(input.size(), input[0].size());
      auto* data = tensor->template mutable_data<std::string>();
      for (const auto i : c10::irange(input.size())) {
        for (const auto j : c10::irange(input[0].size())) {
          *data++ = input[i][j];
        }
      }

      EXPECT_TRUE(runOp(*tensor));

      const auto* outputData = checkAndGetOutput(input.size());
      EXPECT_EQ(outputData[0], "aa,bb,cc,");
      EXPECT_EQ(outputData[1], "dd,ee,ff,");
  */
}


#[test] fn string_join_op_test_float1d_join() {
    todo!();
    /*
      std::vector<float> input = {3.90f, 5.234f, 8.12f};

      auto blob = std::make_unique<Blob>();
      auto* tensor = BlobGetMutableTensor(blob.get(), CPU);
      tensor->Resize(input.size());
      auto* data = tensor->template mutable_data<float>();
      for (const auto i : c10::irange(input.size())) {
        *data++ = input[i];
      }

      EXPECT_TRUE(runOp(*tensor));

      const auto* outputData = checkAndGetOutput(input.size());
      EXPECT_EQ(outputData[0], "3.9,");
      EXPECT_EQ(outputData[1], "5.234,");
      EXPECT_EQ(outputData[2], "8.12,");
  */
}


#[test] fn string_join_op_test_float2d_join() {
    todo!();
    /*
      std::vector<std::vector<float>> input = {{1.23f, 2.45f, 3.56f},
                                               {4.67f, 5.90f, 6.32f}};

      auto blob = std::make_unique<Blob>();
      auto* tensor = BlobGetMutableTensor(blob.get(), CPU);
      tensor->Resize(input.size(), input[0].size());
      auto* data = tensor->template mutable_data<float>();
      for (const auto i : c10::irange(input.size())) {
        for (const auto j : c10::irange(input[0].size())) {
          *data++ = input[i][j];
        }
      }

      EXPECT_TRUE(runOp(*tensor));

      const auto* outputData = checkAndGetOutput(input.size());
      EXPECT_EQ(outputData[0], "1.23,2.45,3.56,");
      EXPECT_EQ(outputData[1], "4.67,5.9,6.32,");
  */
}

#[test] fn string_join_op_test_long2d_join() {
    todo!();
    /*
      std::vector<std::vector<int64_t>> input = {{100, 200}, {1000, 2000}};

      auto blob = std::make_unique<Blob>();
      auto* tensor = BlobGetMutableTensor(blob.get(), CPU);
      tensor->Resize(input.size(), input[0].size());
      auto* data = tensor->template mutable_data<int64_t>();
      for (const auto i : c10::irange(input.size())) {
        for (const auto j : c10::irange(input[0].size())) {
          *data++ = input[i][j];
        }
      }

      EXPECT_TRUE(runOp(*tensor));

      const auto* outputData = checkAndGetOutput(input.size());
      EXPECT_EQ(outputData[0], "100,200,");
      EXPECT_EQ(outputData[1], "1000,2000,");
  */
}