verify(configuration, atLeastOnce()).getOemEncoding();
        verifyNoMoreInteractions(cifsContext, configuration);
    }

    @Test
    @DisplayName("getPreNTLMResponse: unsupported OEM encoding propagates as runtime exception")
    void testGetPreNTLMResponse_invalidEncoding() {
        // Arrange
        when(cifsContext.getConfig()).thenReturn(configuration);

  }

  @Override
  protected Collection<Method> suppressForConcurrentHashMap() {
    /*
     * The entrySet() of ConcurrentHashMap, unlike that of other Map
     * implementations, supports add() under JDK8. This seems problematic, but I
     * didn't see that discussed in the review, which included many other
     * changes: https://mail.openjdk.org/pipermail/core-libs-dev/2013-May/thread.html#17367
     *

# Note that numpy 2.1.0 does not support python 3.9
numpy >= 2.0.0, < 2.2.0
wheel ~= 0.41.2
h5py >= 3.11.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras

  ) {
    val version = fromSource.readByte() and 0xff
    val methodCount = fromSource.readByte() and 0xff
    var selectedMethod = METHOD_NONE
    if (version != VERSION_5) {
      throw ProtocolException("unsupported version: $version")
    }
    for (i in 0 until methodCount) {
      val candidateMethod: Int = fromSource.readByte() and 0xff
      if (candidateMethod == METHOD_NO_AUTHENTICATION_REQUIRED) {

 * Attempts to {@code put} an element into a full queue will result in the operation blocking;
 * attempts to {@code take} an element from an empty queue will similarly block.
 *
 * <p>This class supports an optional fairness policy for ordering waiting producer and consumer
 * threads. By default, this ordering is not guaranteed. However, a queue constructed with fairness

 * session events and their originating operations in the application code. The trace structure
 * supports the following key features:
 *
 * <ul>
 *   <li>Maintains parent-child relationships between requests to track operation nesting</li>
 *   <li>Carries contextual data describing the current request or operation</li>
 *   <li>Supports both internal session operations and client-provided trace information</li>
 * </ul>
 *

   * that it can be done securely, without vulnerability to race conditions (i.e. when the file
   * system does not support {@link SecureDirectoryStream}).
   *
   * <p><b>Warning:</b> On a file system that supports symbolic links, it is possible for an
   * insecure recursive delete to delete files and directories that are <i>outside</i> the directory

}

// Error implements Error interface
func (b BatchJobYamlErr) Error() string {
	return fmt.Sprintf("%s\n Hint: error near line: %d, col: %d", b.msg, b.line, b.col)
}

// BatchJobKV is a key-value data type which supports wildcard matching
type BatchJobKV struct {
	line, col int
	Key       string `yaml:"key" json:"key"`
	Value     string `yaml:"value" json:"value"`
}

var _ yaml.Unmarshaler = &BatchJobKV{}

			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,
			expectedRespStatus: http.StatusNotFound,
			shouldPass:         false,
		},
		// Test case -3.
		// Delimiter unsupported, but response is empty.
		{
			bucket:             bucketName,
			prefix:             "",
			keyMarker:          "",
			uploadIDMarker:     "",
			delimiter:          "-",
			maxUploads:         "0",

# Python Types Intro { #python-types-intro }

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.