Base sequence quality implementation #133
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- Updated `quality_stats.py` to support FASTQ file format in base sequence quality function. - Refactored the scanning and frame functions to use new UDAF for base sequence quality calculations. - Implemented a new UDAF in `udaf.rs` to compute quality scores statistics, including average, median, and quartiles. - Modified `context.rs` to register the new UDAF for use in SQL queries. - Adjusted `operation.rs` to execute the new SQL query for base sequence quality analysis. - Added deregistration functionality for tables in `scan.rs`. - Ensured compatibility with FASTQ format in input handling.
- Updated `base_sequence_quality` function to accept a quality scores column and output type. - Introduced `BaseSequenceQualityProvider` and `BaseSequenceQualityExec` in Rust for efficient execution plans. - Removed the custom UDAF for quality scores and replaced it with a DataFusion table provider. - Simplified data handling by directly using DataFrames from DataFusion. - Cleaned up unnecessary code and files related to UDAF implementation. - Enhanced error handling and type checking for input data.
- Added `SequenceQualityHistogramProvider` and `SequenceQualityHistogramExec` to compute quality histograms from sequence data. - Introduced `QuantileStatsTableProvider` and `QuantileStatsExec` for calculating quantile statistics based on histogram data.
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