} else {
            gradle.allprojects(action);
        }
    }

    private boolean isIsolatedProjects() {
        return features.getIsolatedProjects().getActive().getOrElse(false);
    }

}

// Applies quantization spec to all matched lifted functions. At this point only
// denylisting (`NoQuantization`) will be applied if specs is nonempty.
// TODO: b/307620778 - Support more advanced selective quantization methods.
LogicalResult ApplyQuantizationSpec(const QuantizationSpec& spec,
                                    ModuleOp module_op) {
  const Method& quantization_method = spec.method();

  pm.addNestedPass<func::FuncOp>(createPostQuantizePass());

  // Convert XlaCallModuleOps lifted but not quantized to func.call op.
  // The reasons these ops are not quantized may be:
  // 1. Disabled due to selective quantization.
  // 2. Not supported, e.g. add op for server.
  pm.addPass(createXlaCallModuleToCallPass());

  // TODO: b/321729008 - move this implementation to quantization_patterns.cc.

	XMLName xml.Name `xml:"VersioningConfiguration"`
	// MFADelete State    `xml:"MFADelete,omitempty"` // not supported yet.
	Status State `xml:"Status,omitempty"`
	// MinIO extension - allows selective, prefix-level versioning exclusion.
	// Requires versioning to be enabled
	ExcludedPrefixes []ExcludedPrefix `xml:",omitempty"`
	ExcludeFolders   bool             `xml:",omitempty"`
}

// reaching feature parity with the old quantizer for dynamic range
// quantization, specifically for
// third_party/tensorflow/lite/tools/optimize/quantize_weights.h.
// TODO(b/202468183): Selective quantization + quant debugger support for
// dynamic range quantization for verify_numeric and whole_model_verify flags.
TfLiteStatus QuantizeWeights(
    flatbuffers::FlatBufferBuilder* builder, const tflite::Model* input_model,