Introduced a frozenset of string literals that represent SQL NULL values, enhancing the inference and nullability detection processes. Implemented helper functions to identify null strings and unify missing value checks for CHAR/TEXT columns. Updated the _null_sentinel_mask function to replace these sentinel values with None, ensuring consistent handling across various data types during data loading. This change improves robustness in managing missing data scenarios. |
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| .. | ||
| samples | ||
| .env.example | ||
| generate_sample_folder.py | ||
| generate_sample_sas.py | ||
| load_folder.py | ||
| load_sas.py | ||
| sample_config.yaml | ||
| sample_folder_config.yaml | ||