img: https://fastapi.tiangolo.com/img/sponsors/bump-sh.svg
  - url: https://github.com/scalar/scalar/?utm_source=fastapi&utm_medium=website&utm_campaign=main-badge
    title: "Scalar: Beautiful Open-Source API References from Swagger/OpenAPI files"
    img: https://fastapi.tiangolo.com/img/sponsors/scalar.svg
  - url: https://www.propelauth.com/?utm_source=fastapi&utm_campaign=1223&utm_medium=mainbadge

    </div>
    <div class="item">
      <a title="Scalar: Beautiful Open-Source API References from Swagger/OpenAPI files" style="display: block; position: relative;" href="https://github.com/scalar/scalar/?utm_source=fastapi&utm_medium=website&utm_campaign=top-banner" target="_blank">
        <span class="sponsor-badge">sponsor</span>
        <img class="sponsor-image" src="/img/sponsors/scalar-banner.svg" />
      </a>
    </div>

        findLatest("scala-library", "org.scala-lang:scala-library:2.13.+", versionProperties)
        val scalaVersion = VersionNumber.parse(versionProperties["scala-library"] as String)
        versionProperties["scala"] = "${scalaVersion.major}.${scalaVersion.minor}"

        // The latest released version is 2.0.0-M1, which is excluded by "don't use snapshot" strategy

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					"resources-gcs",
					"ear",
					"plugins-distribution",
					"problems"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"scala",
					"build-cache-local",
					"build-cache-http",
					"java-platform",
					"plugins-test-report-aggregation",
					"declarative-dsl-core",
					"testing-base",
					"resources-sftp",

  TF_ImportGraphDefOptionsAddInputMapping(opts, "scalar", 0, {scalar, 0});
  TF_ImportGraphDefOptionsAddReturnOutput(opts, "feed", 0);
  TF_ImportGraphDefOptionsAddReturnOutput(opts, "scalar", 0);
  EXPECT_EQ(2, TF_ImportGraphDefOptionsNumReturnOutputs(opts));
  TF_ImportGraphDefOptionsAddReturnOperation(opts, "scalar");
  EXPECT_EQ(1, TF_ImportGraphDefOptionsNumReturnOperations(opts));

  int num_dims_out = TF_NumDims(model_out_tensor);
  TF_DeleteTensor(model_out_tensor);

  // If the output is a scalar, then return the scalar output
  if (num_dims_out == 0) {
    outputs[0] = model_out.release();
    return absl::OkStatus();
  }

  // Else, reduce sum the output to get a scalar

  // Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1].
  AbstractTensorHandlePtr sum_dims;
  {

> For a comprehensive overview, please visit the [official Gradle project homepage](https://gradle.org).

---

### 🚀 **Getting Started**

			} else {
				a.Scale = int16(scale)
			}
		}
		p.get(')')
	} else if scale != 0 {
		if p.arch.Family == sys.ARM64 {
			p.errorf("arm64 doesn't support scaled register format")
		}
		// First (R) was missing, all we have is (R*scale).
		a.Reg = 0
		a.Index = r1
		a.Scale = int16(scale)
	}
}

    // binary breaking change checking setup
    onlyModified = false
    failOnModification = false // we rely on the custom report to fail or not
    ignoreMissingClasses = true // because of a missing scala.runtime.AbstractFunction0 class
    richReport({
        it.includedClasses = toPatterns(PublicApi.includes + PublicKotlinDslApi.includes)
        it.excludedClasses = toPatterns(PublicApi.excludes + PublicKotlinDslApi.excludes)