// (limited by the size of fd_set).
//
// Go does not use select, so it should not be subject to these limits.
// On some systems the limit is 256, which is very easy to run into,
// even in simple programs like gofmt when they parallelize walking
// a file tree.
//
// After a long discussion on go.dev/issue/46279, we decided the
// best approach was for Go to raise the limit unconditionally for itself,

        return parallelize(subProjectTestClassTimes, testCoverage) { numberOfBatches ->
            if (testCoverage.os == Os.LINUX)
                ParallelizationMethod.TestDistribution
            else
                ParallelizationMethod.TeamCityParallelTests(numberOfBatches)
        }
    }

    private fun parallelize(
        subProjectTestClassTimes: List<SubprojectTestClassTime>,

#         "@absl_py//absl/testing:parameterized",
#     ],
# )
#
# tf_py_strict_test(
#     name = "quantize_model_test",
#     srcs = ["integration_test/quantize_model_test.py"],
#     shard_count = 50,  # Parallelize the test to avoid timeouts.
#     deps = [
#         ":quantization",
#         ":quantize_model_test_base",
#         "//tensorflow/compiler/mlir/quantization/common/python:testing",

## Deployment Concepts

Here you saw how to use **Gunicorn** (or Uvicorn) managing **Uvicorn worker processes** to **parallelize** the execution of the application, take advantage of **multiple cores** in the CPU, and be able to serve **more requests**.