testRuntimeOnly(projects.mockwebserver3Junit5)
  testImplementation(projects.okhttpTls)
  testImplementation(projects.okhttpTestingSupport)
  testImplementation(libs.httpClient5)
  testImplementation(libs.jettyClient)
  testImplementation(libs.junit)
  testImplementation(libs.assertk)
}

tasks.compileJava {
  options.isWarnings = false

)

dependencies {
  api(projects.okhttp)
  compileOnly(libs.findbugs.jsr305)

  testCompileOnly(libs.findbugs.jsr305)
  testImplementation(libs.junit)
  testImplementation(projects.mockwebserver3)
  testImplementation(projects.mockwebserver3Junit5)
  testImplementation(projects.okhttpTestingSupport)
  testImplementation(projects.okhttpTls)
  testImplementation(libs.assertk)
}

mavenPublishing {

    std::vector<DimensionHandle> dims;
    const TF_ShapeAndType& input_shape = input_shapes->items[i];
    if (input_shape.num_dims == InferenceContext::kUnknownRank) {
      c.SetInput(i, c.UnknownShape());
      continue;
    }
    dims.reserve(input_shape.num_dims);
    for (int j = 0; j < input_shape.num_dims; ++j) {
      dims.push_back(c.MakeDim(input_shape.dims[j]));
    }
    c.SetInput(i, c.MakeShape(dims));

  constexpr int64_t dims[] = {100, 100};
  constexpr int num_elements = dims[0] * dims[1];
  float data[num_elements];
  for (int i = 0; i < num_elements; ++i) {
    data[i] = 1.0f;
  }
  TF_Status* status = TF_NewStatus();
  TF_Tensor* t = TFE_AllocateHostTensor(ctx, TF_FLOAT, &dims[0],
                                        sizeof(dims) / sizeof(int64_t), status);

      resources.srcDir(copyResourcesTemplates.get().outputs)
    }
  }
}

dependencies {
  api(libs.kotlin.stdlib)
  api(projects.okhttp)
  api(projects.loggingInterceptor)
  api(libs.squareup.okio)
  implementation(libs.clikt)
  api(libs.guava.jre)

  testImplementation(projects.okhttpTestingSupport)
  testApi(libs.assertk)
  testImplementation(kotlin("test"))
}

animalsniffer {
  isIgnoreFailures = true
}

}

tasks.jar {
  manifest {
    attributes("Automatic-Module-Name" to "mockwebserver3.junit4")
  }
}

dependencies {
  api(projects.mockwebserver3)
  api(libs.junit)

  testImplementation(libs.assertk)
}

mavenPublishing {
  configure(KotlinJvm(javadocJar = JavadocJar.Empty()))

# Ignore arch dependent warnings, we chose the right libs on start
fess binary: arch-independent-package-contains-binary-or-object
# Not stripping external libraries
fess binary: unstripped-binary-or-object
# Ignore arch dependent warnings, we chose the right libs on start
fess binary: arch-dependent-file-in-usr-share
# Please check our changelog at https://github.com/codelibs/fess

            this.dis.skip(mask - shift);
    }


    public int available () throws IOException {
        return this.dis.available();
    }


    public void readFully ( byte[] b ) throws IOException {
        this.dis.readFully(b);
    }


    public void readFully ( byte[] b, int off, int len ) throws IOException {
        this.dis.readFully(b, off, len);
    }

  androidTestImplementation(libs.androidx.junit)
  androidTestImplementation(libs.androidx.espresso.core)
  androidTestImplementation(libs.httpClient5)
  androidTestImplementation(libs.kotlin.test.common)
  androidTestImplementation(libs.kotlin.test.junit)
  androidTestImplementation(libs.squareup.moshi)
  androidTestImplementation(libs.squareup.moshi.kotlin)
  androidTestImplementation(libs.squareup.okio.fakefilesystem)

      return absl::OkStatus();
    }

    std::vector<int64_t> dims(num_dims, kUnknownDim);
    TF_GraphGetTensorShape(graph_, output_,
                           reinterpret_cast<int64_t*>(dims.data()), num_dims,
                           &status);
    TF_RETURN_IF_ERROR(StatusFromTF_Status(&status));
    TF_RETURN_IF_ERROR(tensorflow::TensorShapeUtils::MakeShape(dims, shape));

    return absl::OkStatus();
  }