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Update show_azure.py
Hello, I tried making some improvements in code,
- I used StringIO to buffer the markdown output and only write it to the file once all experiments are processed.
- ThreadPoolExecutor is used to process experiments in parallel, significantly improving performance if there are many experiments.
- Errors are logged using Python's logging module, with different levels for warnings and errors.
- The validate_config() function checks that all required keys exist in the configuration.
- The output table is properly formatted with placeholders for missing values and formatted columns.
Hope this would be Useful Contribution. Thank You, Rajat Mishra