virtual AbstractTensorInterface* CreateUint64Scalar(uint64 value) = 0;
  virtual AbstractTensorInterface* CreateInt32Scalar(int32_t value) = 0;
  virtual AbstractTensorInterface* CreateFloatScalar(float value) = 0;
  virtual AbstractTensorInterface* CreateDoubleScalar(double value) = 0;
  virtual AbstractTensorInterface* CreateHalfScalar(Eigen::half value) = 0;

		want map[string]string
	}{
		{name: "empty", arg: []string{""}, want: map[string]string{"": ""}},
		{name: "one-valid", arg: []string{"key=value"}, want: map[string]string{"key": "value"}},
		{name: "one-valid-double-equals", arg: []string{"key==value"}, want: map[string]string{"key": "=value"}},
		{name: "one-key-only", arg: []string{"key"}, want: map[string]string{"key": ""}},
	}
	for _, tt := range tests {

    }

    protected void assertObjectNotNull(String variableName, Object value) {
        if (variableName == null) {
            String msg = "The value should not be null: variableName=null value=" + value;
            throw new IllegalArgumentException(msg);
        }
        if (value == null) {
            String msg = "The value should not be null: variableName=" + variableName;

                                      const char* value) {
  cell->cell.Set({value});
}

const void TFE_MonitoringStringGaugeCellValue(
    TFE_MonitoringStringGaugeCell* cell, TF_Buffer* buf) {
  tensorflow::string value = cell->cell.value();
  void* data = tensorflow::port::Malloc(value.length());
  value.copy(static_cast<char*>(data), value.length(), 0);
  buf->data = data;
  buf->length = value.length();

    - Copy the OAuth Client Key as the value for `<CLIENT_ID>`.
    - Copy the OAuth Client Secret as the value for `<CLIENT_SECRET>`.
  - By default, `<IS_HOST>` is localhost. However, if using a public IP, the respective IP address or domain needs to be specified.
  - By default, `<IS_HTTPS_PORT>` has been set to 9443. However, if the port offset has been incremented by n, the default port value needs to be incremented by n.

Request

```

                        long size = 0;
                        for (final String field : supportedFields) {
                            final Object value = source.get(field);
                            if (value != null) {
                                size += value.toString().length();
                            }
                        }

                        if (size <= limitOfDocumentSize) {

Type :help for more information.

scala>
```

- At the _scala>_ prompt, submit the job by typing the following commands, Replace node names, file name, and file location with your values:

```
scala> val file = sc.textFile("s3a://testbucket/testdata")
file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

<div class="wrapper">
    <jsp:include page="/WEB-INF/view/common/admin/header.jsp"></jsp:include>
    <jsp:include page="/WEB-INF/view/common/admin/sidebar.jsp">
        <jsp:param name="menuCategoryType" value="system"/>
        <jsp:param name="menuType" value="wizard"/>
    </jsp:include>

    <div class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">
                <div class="row mb-2">

Indicates STS API version information, the only supported value is '2011-06-15'. This value is borrowed from AWS STS API documentation for compatibility reasons.

| Params     | Value    |
| :--        | :--      |
| *Type*     | *String* |
| *Required* | *Yes*    |

### DurationSeconds

  if (!device_name.empty()) {
    TFE_OpSetDevice(op, device_name.c_str(), status);
  }

  // Convert 'value' to a TF_Tensor then a TFE_TensorHandle.
  std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> t(
      TF_AllocateTensor(TF_FLOAT, nullptr, 0, sizeof(value)), TF_DeleteTensor);
  memcpy(TF_TensorData(t.get()), &value, TF_TensorByteSize(t.get()));

  std::unique_ptr<TFE_TensorHandle, decltype(&TFE_DeleteTensorHandle)>