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    "info": {
        "author": "Chancy Kennedy",
        "author_email": "kennedychancy+fuzzyjoin@gmail.com",
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        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
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        "description": "fuzzyjoin\n=========\n\nJoin two tables by a fuzzy comparison of text columns.\n\nFeatures\n--------\n* Command line utility to quickly join CSV files.\n* Ngram blocking to reduce the total number of comparisons.\n* Pure python levenshtein edit distance using [pylev](https://github.com/toastdriven/pylev).\n* Fast levenshtein edit distance using [editdistance](https://github.com/aflc/editdistance).\n* License: [MIT](https://opensource.org/licenses/MIT)\n\n\nInstallation\n------------\n* Pure python: `pip install fuzzyjoin`\n* Optimized: `pip install fuzzyjoin[fast]`\n\n\nDescription\n-----------\nThe goal of this package is to provide a quick and convenient way to\njoin two tables on a pair of text columns, which often contain variations\nof names for the same entity. `fuzzyjoin` satisfies the simple and common case\nof joining by a single column from each table for datasets in the thousands of records.\n\nFor a more sophisticated and comprehensive treatment of the topic that will allow\nyou to join records using multiple fields, see the packages below:\n\n* [dedupe](https://github.com/dedupeio/dedupe)\n* [recordlinkage](https://recordlinkage.readthedocs.io/en/latest/about.html)\n\n\nCLI Help\n--------\n```bash\n\\> fuzzyjoin --help\n\nUsage: fuzzyjoin_cli.py [OPTIONS] LEFT_CSV RIGHT_CSV\n\n  Inner join <left_csv> and <right_csv> by a fuzzy comparison of\n  <left_field> and <right_field>.\n\nOptions:\n  -f, --fields TEXT...   <left_field> <right_field>  [required]\n  -t, --threshold FLOAT  Only return matches above this score.  [default: 0.7]\n  -o, --output TEXT      File to write the matches to.\n  --multiples TEXT       File for left IDs with multiple matches.\n  --exclude TEXT         Function used to exclude records. See:\n                         <fuzzyjoin.compare.default_exclude>\n  --collate TEXT         Function used to collate <fields>. See:\n                         <fuzzyjoin.collate.default_collate>\n  --compare TEXT         Function used to compare records. See:\n                         <fuzzyjoin.compare.default_compare>\n  --numbers-exact        Numbers and order must match exactly.\n  --numbers-permutation  Numbers must match but may be out of order.\n  --numbers-subset       Numbers must be a subset.\n  --ngram-size INTEGER   The ngram size to create blocks with.  [default: 3]\n  --no-progress          Do not show comparison progress.\n  --debug                Exit to PDB on exception.\n  --yes                  Yes to all prompts.\n  --help                 Show this message and exit.\n```\n\n\nCLI Usage\n---------\n\n```bash\n# Use field `name` from left.csv and field `full_name` from right.csv\n\\> fuzzyjoin --fields name full_name left.csv right.csv\n# Export rows with multiple matches from left.csv to a separate file.\n\\> fuzzyjoin --multiples multiples.csv --fields name full_name left.csv right.csv\n# Increase the ngram size, reducing execution time but removing tokens small than `ngram_size`\n# as possible matches.\n\\> fuzzyjoin --ngram-size 5 --fields name full_name left.csv right.csv\n# Ensure any numbers that appear are in both fields and in the same order.\n\\> fuzzyjoin --numbers-exact --fields name full_name left.csv right.csv\n# Ensure any numbers that appear are in both fields but may be in a different order.\n\\> fuzzyjoin --numbers-permutation --fields name full_name left.csv right.csv\n# Ensure numbers that appear in one field are at least a subset of the other.\n\\> fuzzyjoin --numbers-subset --fields name full_name left.csv right.csv\n# Use importable function `package.func` from PATH as the comparison function\n# instead of `fuzzyjoin.compare.default_compare`.\n\\> fuzzyjoin --compare package.func --fields name full_name left.csv right.csv\n```\n\nAPI Usage\n---------\n```python\nfrom fuzzyjoin import io\n\n# Specify which field to use from the left and right CSV files.\noptions = Options(\n    field_1='name',\n    field_2='full_name'\n)\nmatches = io.inner_join_csv_files('left.csv', 'right.csv', options)\nio.write_matches(matches, output_file='matches.csv')\n```\n\nTODO\n----\n- Test transformation and exclude functions.\n- Implement left join and full join.\n- Check that the ID is actually unique.\n- Add documentation.\n- Option to rename headers and disambiguate duplicate header names.\n\n\nHistory\n=======\n0.5.1 (2019-04-15)\n------------------\n* Update usage docs.\n* Rename key_* params to field_* for consistency.\n\n0.5.0 (2019-04-15)\n------------------\n* Removed ID field requirement.\n\n0.4.1 (2019-04-12)\n------------------\n* Options parameter.\n\n0.3.4 (2019-04-11)\n------------------\n* Fix function defaults.\n* Minor optimizations.\n* Additional CLI parameters.\n\n0.3.3 (2019-04-10)\n------------------\n* Cleanup checks.\n\n0.3.2 (2019-04-10)\n------------------\n* Include basic installation instructions.\n\n0.3.1 (2019-04-10)\n------------------\n* Minor README updates.\n\n\n0.3.0 (2019-04-10)\n------------------\n* Use editdistance if available, otherwise fallback to pylev.\n* Report progress by default.\n* Number comparison options.\n* Renamed get_multiples to filter_multiples.\n\n\n0.2.1 (2019-04-10)\n------------------\n* Additional docs and tests.\n\n0.2.0 (2019-04-09)\n------------------\n* Write multiples matches to a separate file.\n* Added types and docstrings.\n\n0.1.2 (2019-04-09)\n------------------\n* Duplicate release of 0.1.1\n\n0.1.1 (2019-04-09)\n------------------\n* First release on PyPI.\n\n\n",
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