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        "description": "# cssresumable\n\nAdding tiny resume function for your csv reading iterator.\n\n## examples\n\n00main.py\n\n```python\nimport sys\nimport os\nimport random\nfrom io import StringIO\nfrom csvresumable import DictReader\n\ndata = \"\"\"\\\nid,name\n1,foo\n2,bar\n3,boo\n\"\"\"\n\nrandom.seed(int(os.environ.get(\"SEED\", \"0\")))\nfor row in DictReader(StringIO(data)):\n    n = random.random()\n    if n < 0.5:\n        print(\"fail {}\".format(n), file=sys.stderr)\n        sys.exit(0)\n    print(\"\\t\", row[\"name\"])\nprint(\"finished\")\n\n```\n\nresuming until success.\n\n```console\nSEED=0 python 00main.py\nfail 0.420571580830845\n\t foo\n\t bar\nSEED=1 RESUME=1 python 00main.py\nfail 0.13436424411240122\nSEED=2 RESUME=1 python 00main.py\n\t boo\nfinished\nSEED=5 python 00main.py\n\t foo\n\t bar\n\t boo\nfinished\n\n```\n\nor setting with `resume` option (run this script, such as `python 01main.py --resume`)\n\n```diff\n--- 00main.py\t2018-06-16 04:19:51.573578443 +0900\n+++ 01main.py\t2018-06-16 04:20:04.760554103 +0900\n@@ -4,17 +4,23 @@\n from io import StringIO\n from csvresumable import DictReader\n\n-data = \"\"\"\\\n+data = \"\"\"\n id,name\n 1,foo\n 2,bar\n 3,boo\n \"\"\"\n\n+import argparse\n+parser = argparse.ArgumentParser()\n+parser.add_argument(\"--seed\", default=0, type=int)\n+parser.add_argument(\"--resume\", action=\"store_true\")\n+args = parser.parse_args()\n+\n random.seed(int(os.environ.get(\"SEED\", \"0\")))\n-for row in DictReader(StringIO(data)):\n+for row in DictReader(StringIO(data), resume=args.resume):\n     n = random.random()\n-    if n < 0.5:\n+    if n > 0.8:\n         print(\"fail {}\".format(n), file=sys.stderr)\n         sys.exit(0)\n     print(\"\\t\", row[\"name\"])\n\n```\n\n### with multi files\n\n```python\nfrom csvresumable import DictReader\n\nfiles = [\"a.csv\", \"b.csv\"]\nfor f in files:\n    r = DictReader(f)\n    for row in r:\n        do_something(row)\n\n```\n\n## more\n\n- [examples/01multisource](examples/01multisource)\n\n\n\n\n\n",
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