… log type checking

…tion

…sure consistency

…ation files

…endencies

…m project configuration

…cking issues

…r initialization

…ace for improved organization

…ming conventions

…ictionaries

…ed I/O statistics and module management

…ss line mapping in DXT_POSIX data handling

…hecks in Darshan data handling

…in Darshan data handling

…atistics in Darshan data handling

…andling

…and stragglers count in Darshan data handling

…ataFrame

…ding DataFrame

…ing DataFrame

…O operations

…dent writes

…nd HDF5 extension check

Required for Python 3.8 compatability

…ons in Darshan handling

…rn components

…y with older PyDarshan versions

Avoids using `iterrows()` which implicitly casts Darshan record IDs to float64,
potentially breaking file_map lookups for large IDs. Replaced with `itertuples()`
to maintain original dtype and re-enabled `break` for early exit.

…e logs

Adds Sample_1 and Sample_2 run configs to easily test `reporter.py` on
benchmark Darshan logs using the drishti-io module environment.

…IX module