Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 4 of 4 for ignore_case (0.09 sec)

  2. github.com/google/guava

    guava-tests/test/com/google/common/io/BaseEncodingTest.java 

        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");
  }
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Mon Oct 21 16:27:30 UTC 2024
    - 24.6K bytes
    - Viewed (0)
  3. github.com/google/guava

    guava/src/com/google/common/io/BaseEncoding.java 

          }
      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;
    }
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Sat Oct 19 00:26:48 UTC 2024
    - 41.8K bytes
    - Viewed (0)
  4. github.com/google/guava

    android/guava-tests/test/com/google/common/io/BaseEncodingTest.java 

        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");
  }
    Registered: Fri Nov 01 12:43:10 UTC 2024
    - Last Modified: Mon Oct 21 16:27:30 UTC 2024
    - 24.6K bytes
    - Viewed (0)
  5. github.com/tensorflow/tensorflow

    RELEASE.md 

                `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).
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Oct 22 14:33:53 UTC 2024
    - 735.3K bytes
    - Viewed (0)
Back to top