Sean Liao <******@****.***> 1703876956 +0000

Shinsuke Sugaya <******@****.***> 1755312830 +0900

	github.com/josharian/intern v1.0.0 // indirect
	github.com/juju/ratelimit v1.0.2 // indirect
	github.com/kr/fs v0.1.0 // indirect
	github.com/kylelemons/godebug v1.1.0 // indirect
	github.com/lestrrat-go/blackmagic v1.0.2 // indirect
	github.com/lestrrat-go/httpcc v1.0.1 // indirect
	github.com/lestrrat-go/httprc v1.0.6 // indirect
	github.com/lestrrat-go/iter v1.0.2 // indirect
	github.com/lestrrat-go/jwx/v2 v2.1.4 // indirect

    BigInteger result;
    do {
      result = randomNonNegativeBigInteger(numBits);
    } while (result.signum() == 0);
    return result;
  }

  /**
   * Generates a number in [0, 2^numBits) with an exponential distribution. The floor of the log2 of
   * the result is chosen uniformly at random in [0, numBits), and then the result is chosen in that
   * range uniformly at random. Zero is treated as having log2 == 0.

    @Override
    protected List<String> create(String[] elements) {
      String[] prefix = {"f", "g"};
      String[] all = new String[elements.length + prefix.length];
      arraycopy(prefix, 0, all, 0, 2);
      arraycopy(elements, 0, all, 2, elements.length);
      return ImmutableList.copyOf(all).subList(2, elements.length + 2);
    }
  }

		}
		if n != len(data) {
			return errors.New("heal mrf: no data")
		}
		// Read resync meta header
		switch binary.LittleEndian.Uint16(data[0:2]) {
		case healMRFMetaFormat:
		default:
			return fmt.Errorf("heal mrf: unknown format: %d", binary.LittleEndian.Uint16(data[0:2]))
		}
		switch binary.LittleEndian.Uint16(data[2:4]) {
		case healMRFMetaVersionV1:
		default:

on:
  pull_request_target:
  issues:
    types:
      - opened
      - reopened

jobs:
  add-to-project:
    name: Add to project
    runs-on: ubuntu-latest
    steps:
      - uses: actions/add-to-project@v1.0.2
        with:
          project-url: https://github.com/orgs/fastapi/projects/2

packaging==23.2
setuptools==78.1.1
jax==0.4.7
zstandard==0.23.0
# The dependencies below are needed for TF wheel testing.
tensorflow-io-gcs-filesystem==0.37.1 ; python_version <= "3.12"
libclang >= 13.0.0
google_pasta ~= 0.2

# limitations under the License.
# ==============================================================================

name: ARM CI Extended C++

on:
  push:
    tags:
      - v2.**
  schedule:
    - cron: '0 2 * * *'

permissions:
  contents: read

jobs:
  build:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: [self-hosted, linux, ARM64]
    strategy:
      matrix:

    BigInteger result;
    do {
      result = randomNonNegativeBigInteger(numBits);
    } while (result.signum() == 0);
    return result;
  }

  /**
   * Generates a number in [0, 2^numBits) with an exponential distribution. The floor of the log2 of
   * the result is chosen uniformly at random in [0, numBits), and then the result is chosen in that
   * range uniformly at random. Zero is treated as having log2 == 0.