code: def parameter_combinations(test_parameters):
      """Generate all combinations of test parameters."""
      real_parameters = []
      for parameters in test_parameters:
          keys = parameters.keys()
          for curr in itertools.product(*parameters.values()):
              real_parameters.append(dict(zip(keys, curr)))
      return real_parameters
  
file_path: tensorflow-upstream/tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
imports: import itertools
  from typing import Optional, Sequence
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.mlir.quantization.stablehlo.python import quantization
  from tensorflow.compiler.mlir.quantization.stablehlo.python.integration_test import quantize_model_test_base
  from tensorflow.compiler.mlir.quantization.tensorflow import quantization_options_pb2
  from tensorflow.compiler.mlir.quantization.tensorflow.python import representative_dataset
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import test
  from tensorflow.python.saved_model import load
  from tensorflow.python.saved_model import tag_constants
label_desc: Use image node_id 1 for calling a global function with example usage: parameter_combinations(test_parameters) and returns: real_parameters