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        "description": "PyAnnotate: Auto-generate PEP-484 annotations\n=============================================\n\nInsert annotations into your source code based on call arguments and\nreturn types observed at runtime.\n\nFor license and copyright see the end of this file.\n\nBlog post: http://mypy-lang.blogspot.com/2017/11/dropbox-releases-pyannotate-auto.html\n\nHow to use\n==========\n\nSee also the example directory.\n\nPhase 1: Collecting types at runtime\n------------------------------------\n\n- Install the usual way (see \"red tape\" section below)\n- Add `from pyannotate_runtime import collect_types` to your test\n- Early in your test setup, call `collect_types.init_types_collection()`\n- Bracket your test execution between calls to `collect_types.start()` and\n  `collect_types.stop()` (or use the context manager below)\n- When done, call `collect_types.dump_stats(filename)`\n\nAll calls between the `start()` and `stop()` calls will be analyzed\nand the observed types will be written (in JSON form) to the filename\nyou pass to `dump_stats()`.  You can have multiple start/stop pairs\nper dump call.\n\nIf you'd like to automatically collect types when you run `pytest`,\nsee `example/example_conftest.py` and `example/README.md`.\n\nInstead of using `start()` and `stop()` you can also use a context\nmanager:\n```\ncollect_types.init_types_collection()\nwith collect_types.collect():\n    <your code here>\ncollect_types.dump_stats(<filename>)\n```\n\nPhase 2: Inserting types into your source code\n----------------------------------------------\n\nThe command-line tool `pyannotate` can add annotations into your\nsource code based on the annotations collected in phase 1.  The key\narguments are:\n\n- Use `--type-info FILE` to tell it the file you passed to `dump_stats()`\n- Positional arguments are source files you want to annotate\n- With no other flags the tool will print a diff indicating what it\n  proposes to do but won't do anything.  Review the output.\n- Add `-w` to make the tool actually update your files.\n  (Use git or some other way to keep a backup.)\n\nAt this point you should probably run mypy and iterate.  You probably\nwill have to tweak the changes to make mypy completely happy.\n\nNotes and tips\n--------------\n\n- It's best to do one file at a time, at least until you're\n  comfortable with the tool.\n- The tool doesn't touch functions that already have an annotation.\n- The tool can generate either of:\n  - type comments, i.e. Python 2 style annotations\n  - inline type annotations, i.e. Python 3 style annotations, using `--py3` in v1.0.7+\n\nRed tape\n========\n\nInstallation\n------------\n\nThis should work for Python 2.7 as well as for Python 3.4 and higher.\n\n```\npip install pyannotate\n```\n\nThis installs several items:\n\n- A runtime module, pyannotate_runtime/collect_types.py, which collects\n  and dumps types observed at runtime using a profiling hook.\n\n- A library package, pyannotate_tools, containing code that can read the\n  data dumped by the runtime module and insert annotations into your\n  source code.\n\n- An entry point, pyannotate, which runs the library package on your files.\n\nFor dependencies, see setup.py and requirements.txt.\n\nTesting etc.\n------------\n\nTo run the unit tests, use pytest:\n\n```\npytest\n```\n\nTO DO\n-----\n\nWe'd love your help with some of these issues:\n\n- Better documentation.\n- Python 3 code generation.\n- Refactor the tool modules (currently its legacy architecture shines through).\n\nAcknowledgments\n---------------\n\nThe following people contributed significantly to this tool:\n\n- Tony Grue\n- Sergei Vorobev\n- Jukka Lehtosalo\n- Guido van Rossum\n\nLicence etc.\n------------\n\n1. License: Apache 2.0.\n2. Copyright attribution: Copyright (c) 2017 Dropbox, Inc.\n3. External contributions to the project should be subject to\n   Dropbox's Contributor License Agreement (CLA):\n   https://opensource.dropbox.com/cla/\n\n\n",
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