void shouldBeApplicableWhenAllOptionSpecified() {
            UpgradeOptions options = mock(UpgradeOptions.class);
            when(options.all()).thenReturn(Optional.of(true));
            when(options.model()).thenReturn(Optional.empty());

            UpgradeContext context = createMockContext(options);

            assertTrue(strategy.isApplicable(context), "Strategy should be applicable when --all is specified");

     * Returns the file paths of all dependencies and their assignments to different paths.
     * The {@link PathType} keys identify, for example, {@code --class-path} or {@code --module-path} options.
     * In the case of Java tools, the map may also contain {@code --patch-module} options, which are
     * {@linkplain org.apache.maven.api.JavaPathType#patchModule(String) handled in a special way}.
     *
     * <h4>Design note</h4>

        }

        @Test
        @DisplayName("should not be applicable when --infer option is false")
        void shouldNotBeApplicableWhenInferOptionFalse() {
            UpgradeOptions options = mock(UpgradeOptions.class);
            when(options.infer()).thenReturn(Optional.of(false));
            when(options.all()).thenReturn(Optional.empty());

            UpgradeContext context = createMockContext(options);

            // Create context with --model-version=4.1.0 option to trigger namespace update
            UpgradeOptions options = mock(UpgradeOptions.class);
            when(options.modelVersion()).thenReturn(Optional.of("4.1.0"));
            when(options.all()).thenReturn(Optional.empty());
            UpgradeContext context = createMockContext(options);

            UpgradeResult result = strategy.doApply(context, pomMap);

- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

Provide code to help us reproduce your issues using one of the following options:

#### Option A: Reference colab notebooks

1)  Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.

     *
     * @param src the source bean object
     * @param dest the destination bean object
     * @param option a consumer function to configure copy options
     */
    protected static void copyBeanToBean(final Object src, final Object dest, final Consumer<CopyOptions> option) {
        BeanUtil.copyBeanToBean(src, dest, option);
    }

    /**

     * does not include the {@linkplain Modular#moduleName() module name} on which it applies.
     *
     * @return the name of the tool option for this path type
     */
    @Nonnull
    @Override
    public Optional<String> option() {
        return Optional.ofNullable(option);
    }

    /**

      this.path = checkNotNull(path);
      this.options = options.clone();
      this.followLinks = followLinks(this.options);
      // TODO(cgdecker): validate the provided options... for example, just WRITE seems wrong
    }

    private static boolean followLinks(OpenOption[] options) {
      for (OpenOption option : options) {
        if (option == NOFOLLOW_LINKS) {
          return false;
        }
      }

        UpgradeOptions options = context.options();

        // Determine target model version
        // Default to 4.0.0 unless --all is specified or explicit --model-version is provided
        String targetModel;
        if (options.modelVersion().isPresent()) {
            targetModel = options.modelVersion().get();
        } else if (options.all().orElse(false)) {

        }

        // check for presence of deprecated options and print warning
        boolean fail = false;
        for (Option option : cliRequest.commandLine.getOptions()) {
            if (option.isDeprecated()) {
                StringBuilder sb = new StringBuilder();
                sb.append("The option -").append(option.getOpt());
                if (option.getLongOpt() != null) {