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        "author": "@LoisaidaSam",
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        "description": "# csv-position-reader\n\nA custom CSV reader implementation with direct file access\n\nThe default builtin Python `csv` lib uses an `8KB` read-ahead buffer on the file pointer, making `fp.tell()` yield inaccurate results. This library addresses that head on, explicitly passing back the file pointer position with each row, as well as allowing for direct seeking.\n\nReferences:\n\n- https://docs.python.org/2/library/csv.html\n- https://stackoverflow.com/questions/14145082/file-tell-inconsistency/14145118#14145118\n- https://stackoverflow.com/questions/12109622/how-to-know-the-byte-position-of-a-row-of-a-csv-file-in-python/12110160#12110160\n\n## Usage\n\n```python\n>>> import csv_position_reader\n\n>>> with open('tests/data/basic.csv', 'r') as fp:\n...     reader = csv_position_reader.DictReader(fp)\n...     position, row = reader.next()\n...     print \"position: %s\" % position\n...     print \"row: %s\" % row\n...     reader.seek(position)\n...     position_new, row_new = reader.next()\n...     assert position == position_new\n...     assert row == row_new\n... \nposition: 26\nrow: {'city': 'Atlanta', 'favorite_color': 'black', 'name': 'Sam'}\n```\n\n## Why? / Who Cares?\n\nBecause after poring through a CSV one time, you can now build a dictionary/cache of where each row lives for future `O(1)` access! You're now a stone's throw away from a CSV-driven database!\n\n\n",
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