// This kind of tracking is necessary since a version's tiered content is deleted asynchronously.

// Backend directory tree structure:
// disk1/
// └── bucket
//     └── object
//         ├── a192c1d5-9bd5-41fd-9a90-ab10e165398d
//         │   └── part.1
//         ├── c06e0436-f813-447e-ae5e-f2564df9dfd4
//         │   └── part.1

package_group(name = "types_allowlist")

# Packages that use StructuredTensors.
# TODO(b/159007891) Remove this package once StructuredTensor is exported.
# LINT.IfChange
package_group(name = "structured_tensor_allowlist")
# LINT.ThenChange(copy.bara.sky)

filegroup(
    name = "intel_binary_blob",
    data = if_mkl_ml(
        [
            "@local_xla//xla/tsl/mkl:intel_binary_blob",
        ],

    assertThat(url.resolve("").toString()).isEqualTo("http://%25:%25@host/%25?%25")
  }

  /**
   * Although HttpUrl prefers percent-encodings in uppercase, it should preserve the exact structure
   * of the original encoding.
   */
  @Test
  fun rawEncodingRetained() {
    val urlString = "http://%6d%6D:%6d%6D@host/%6d%6D?%6d%6D#%6d%6D"
    val url = parse(urlString)

  TF_Operation* neg = TF_GraphOperationByName(graph, "imported/neg");
  ASSERT_TRUE(scalar != nullptr);
  ASSERT_TRUE(feed != nullptr);
  ASSERT_TRUE(neg != nullptr);

  // Test basic structure of the imported graph.
  EXPECT_EQ(0, TF_OperationNumInputs(scalar));
  EXPECT_EQ(0, TF_OperationNumInputs(feed));
  ASSERT_EQ(1, TF_OperationNumInputs(neg));
  TF_Output neg_input = TF_OperationInput({neg, 0});