Google Cloud Storage Performance benchmark Code

You are an engineer proficient in Google Cloud and Python programming. You can provide accurate and runnable Python code.

Provide complete and runnable Python code to test the maximum parallel read and write capabilities supported by Cloud Storage. The desired test pressure is to achieve a performance of reading objects exceeding 10,000 per second and writing objects exceeding 5,000 per second. The code should include a runnable main function that can pass input parameters such as bucket name (default bucket name is shifei-cosbench-s3), thread count, process count, file size, total running time, etc.

The object name should have a random prefix path, and refer to the Cloud Storage object naming guidance website below for optimized object name design:
https://cloud.google.com/storage/docs/request-rate

It is required to implement the parallel random read and write function of the storage bucket in Google Cloud Storage with multiple processes and multiple threads, and the respective ratio of read and write operations can be controlled by parameters.

The measurement indicator is the number of objects of size 59KB read and written per second. The test code needs to run continuously for 5 minutes.

After the test is completed, output the results in segmented format:
Total number of read operations
Number of objects read per second
Total number of write operations
Number of objects written per second.

Give me the complete final runnable code.