To cache responses, you'll need a cache directory that you can read and write to, and a limit on the cache's size. The cache directory should be private, and untrusted applications should not be able to read its contents!

  Or install the latest stable TensorFlow 1.X release:
    * `pip install -U "tensorflow==1.*"`

  Otherwise your code may be broken by the change.

  """)

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.

                if (!canonicalPath.startsWith(baseCanonicalPath)) {
                    throw new IllegalArgumentException("File path is outside allowed directory");
                }
            }
        } catch (final IOException e) {
            throw new IllegalArgumentException("Invalid file path", e);
        }
    }

    /**

 * to interact with SMB resources.
 *
 * <p>
 * This client supports authentication, content retrieval, and metadata extraction from SMB files.
 * It handles file access, directory listing, and access control entries (ACEs) processing.
 * </p>
 *
 * <p>
 * The class provides methods to:
 * </p>
 * <ul>
 *   <li>Initialize the client with SMB authentication details.</li>

```bash
pip install pylint
pylint --rcfile=tensorflow/tools/ci_build/pylintrc myfile.py
```

Note `pylint --rcfile=tensorflow/tools/ci_build/pylintrc` should run from the
top level tensorflow directory.

#### Coding style for other languages

*   [Google Java Style Guide](https://google.github.io/styleguide/javaguide.html)
*   [Google JavaScript Style Guide](https://google.github.io/styleguide/jsguide.html)

		expireRestored   bool
		expectedDataDir  string
	}{
		{ // object versions with inlined data don't count towards shared data directory
			versionID: mustGetUUID(),
			dataDir:   d0,
			data:      data,
			shares:    0,
		},
		{ // object versions with inlined data don't count towards shared data directory
			versionID: mustGetUUID(),
			dataDir:   d1,
			data:      data2,
			shares:    0,
		},

        final File parentFile = outputFile.getParentFile();
        if (!parentFile.exists()) {
            parentFile.mkdirs();
        }
        if (!parentFile.isDirectory()) {
            logger.warn("Parent directory not found: {}", parentFile.getAbsolutePath());
            return false;
        }

        return process(thumbnailId, responseData -> {
            if (!isImageMimeType(responseData)) {

_os.environ["TF2_BEHAVIOR"] = "1"
from tensorflow.python import tf2 as _tf2
_tf2.enable()

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise

    }

    /**
     * This is used for pom-less execution like running archetype:generate. I am taking out the profile handling and the
     * interpolation of the base directory until we spec this out properly.
     */
    @Override
    public MavenProject buildStandaloneSuperProject(ProjectBuilderConfiguration configuration)
            throws ProjectBuildingException {

        SMBUtil.writeInt2(9, buffer, bufferIndex);
        // Set buffer offset (relative to header start)
        SMBUtil.writeInt2(80, buffer, bufferIndex + 2);
        // Set buffer length (empty directory)
        SMBUtil.writeInt4(0, buffer, bufferIndex + 4);

        // Mock getHeaderStart
        response = spy(response);
        when(response.getHeaderStart()).thenReturn(0);