/// tip | Consejo

        assertEquals("000000FF", Hexdump.toHexString(255, 8));
        assertEquals("00001000", Hexdump.toHexString(4096, 8));
        assertEquals("FFFFFFFF", Hexdump.toHexString(-1, 8));

        // Test different sizes
        assertEquals("00", Hexdump.toHexString(0, 2));
        assertEquals("FF", Hexdump.toHexString(255, 2));
        assertEquals("1234", Hexdump.toHexString(0x1234, 4));
    }

    @Test

        assertEquals(0x1, Smb2IoctlRequest.SMB2_O_IOCTL_IS_FSCTL);
    }

    @Test
    @DisplayName("Test configuration with different control codes")
    void testDifferentControlCodes() {
        setupMockConfig();
        // Test with different control codes
        int[] controlCodes = { Smb2IoctlRequest.FSCTL_PIPE_PEEK, Smb2IoctlRequest.FSCTL_PIPE_WAIT, Smb2IoctlRequest.FSCTL_PIPE_TRANSCEIVE,

            Thread.sleep(5); // Small delay to ensure different timestamps
            Smb2LeaseKey key2 = limitedManager.requestLease("/share/file2.txt", Smb2LeaseState.SMB2_LEASE_READ_CACHING);
            Thread.sleep(5); // Small delay to ensure different timestamps
            Smb2LeaseKey key3 = limitedManager.requestLease("/share/file3.txt", Smb2LeaseState.SMB2_LEASE_READ_CACHING);

That means that **any value** read in Python from an environment variable **will be a `str`**, and any conversion to a different type or any validation has to be done in code.

## Injection de dépendances

Utiliser `BackgroundTasks` fonctionne aussi avec le système d'injection de dépendances. Vous pouvez déclarer un paramètre de type `BackgroundTasks` à différents niveaux : dans une *fonction de chemin*, dans une dépendance, dans une sous-dépendance...

# EditorConfig helps developers define and maintain consistent
# coding styles between different editors and IDEs
# editorconfig.org

root = true

[*]

indent_style = space
indent_size = 4


end_of_line = lf
charset = utf-8
trim_trailing_whitespace = true
insert_final_newline = true

# Markdown files sometimes need trailing whitespaces.
[*.md]
trim_trailing_whitespace = false

[*.{yml,yaml}]
indent_size = 2

hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

  private val provider: Provider =
    org.openjsse.net.ssl
      .OpenJSSE()

  // Selects TLSv1.3 so we are specific about our intended version ranges (not just 1.3)
  // and because it's a common pattern for VMs to have differences between supported and
  // defaulted versions for TLS based on what is requested.
  override fun newSSLContext(): SSLContext = SSLContext.getInstance("TLSv1.3", provider)

# limitations under the License.
# ==============================================================================
# Sourcing this enables Bazel remote cache (public, read-only)
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache"
else
  TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache"