"-SNAPSHOT",
        "-alpha.*\\d+",
        "-beta.*\\d+",
        "-dev-?\\d+",
        "-dev-\\d+-\\d+",
        "-rc-?\\d+",
        "-M.+",
        "-eap-?\\d+"
    ).map { it.toRegex(RegexOption.IGNORE_CASE) }

    @get:Internal
    abstract val libraryVersionFile: RegularFileProperty

    @TaskAction
    fun updateInitPluginTemplateVersionFile() {
        val versionProperties = Properties()

    BaseEncoding ignoreCase = base16().ignoreCase();
    assertThat(ignoreCase).isNotSameInstanceAs(base16());
    assertThat(ignoreCase).isSameInstanceAs(base16().ignoreCase());
    testEncodingWithCasing(ignoreCase, "foobar", "666F6F626172");
    testDecodes(ignoreCase, "666F6F626172", "foobar");
    testDecodes(ignoreCase, "666f6f626172", "foobar");
    testDecodes(ignoreCase, "666F6f626172", "foobar");
  }

      }
      return result;
    }

    @Override
    public BaseEncoding ignoreCase() {
      BaseEncoding result = ignoreCase;
      if (result == null) {
        Alphabet ignore = alphabet.ignoreCase();
        result = ignoreCase = (ignore == alphabet) ? this : newInstance(ignore, paddingChar);
      }
      return result;
    }

    BaseEncoding ignoreCase = base16().ignoreCase();
    assertThat(ignoreCase).isNotSameInstanceAs(base16());
    assertThat(ignoreCase).isSameInstanceAs(base16().ignoreCase());
    testEncodingWithCasing(ignoreCase, "foobar", "666F6F626172");
    testDecodes(ignoreCase, "666F6F626172", "foobar");
    testDecodes(ignoreCase, "666f6f626172", "foobar");
    testDecodes(ignoreCase, "666F6f626172", "foobar");
  }

            `use_causal_mask=True` will compute a causal attention mask, and
            optionally combine it with any `attention_mask` passed in directly
            when calling the layer.
    *   Added `ignore_class` argument in the loss
        `SparseCategoricalCrossentropy` and metrics `IoU` and `MeanIoU`, to
        specify a class index to be ignored during loss/metric computation (e.g.
        a background/void class).