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        "author": "Julian Metzler",
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        "description": "TweetPony \u2013 A Twitter library for Python\n========================================\n\u2026it's called TweetPony because I developed it with ponies in mind.\n\nLicense\n-------\nThis program is licensed under the AGPLv3. See the `LICENSE` file for more information.\n\nInstallation\n------------\nYou can easily install TweetPony using the Python Package Index. Just type:\n\n\tsudo pip install tweetpony\n\nUsage basics\n------------\nYou can see the internal names of all the API endpoints in the file `endpoints.py`.\nFor example, to update your status, you would do:\n\n```python\nstatus = api.update_status(\"Hello world!\")\n```\n\nAll the parameter names are the same as in the API documentation. Values will be automatically converted to their correct representation. For example, the boolean `True` will become the string `true`.\n\nTweetPony has an internal model system which lets you perform actions related to the model quite easily!\nSuppose you have a `Status` model:\n\n```python\nstatus = api.get_status(id = 12345)\n```\n\nNow if you want to favorite this status, you would probably do this:\n\n```python\napi.favorite(id = status.id)\n```\n\nBut TweetPony makes this easier! You can just do:\n\n```python\nstatus.favorite()\n```\n\nand the pony will favorite the tweet!\nOf course, this will only work if you obtained the `Status` instance through an API call, which should be the case 99% of the time. It won't work if you create the `Status` instance directly from a dictionary. But why would you do that?\nYou can also manually connect an `API` instance to a model instance by using the model's `connect_api` method.\nFor example, if you have two `API` instances (e.g. for two different users) and want to fetch a tweet with the first user's account and retweet it with the second user's account, you do:\n\n```python\nstatus = api1.get_status(id = 12345)\nstatus.connect_api(api2)\nstatus.retweet()\n```\n\nLook into `models.py` to see which methods exist for which models.\n\nDetails on function parameters\n------------------------------\nIf you omit the paramater names in function calls, the order of parameters is as follows: First come all URL parameters / required parameters in the order they are listed in `endpoints.py`, then come all optional parameters.\n\nImage uploading\n---------------\nFor all API endpoints that take an image as a parameter, just pass the image file object to upload as the appropriate parameter and the pony will do the rest for you.\nMulti-image uploading is supported too! Look into the `endpoints.py` and `api.py` files for details.\n\nError handling\n--------------\nOn error, TweetPony will raise either an `APIError`, `NotImplementedError` or `ParameterError` exception.\nAn `APIError` instance has the following attributes:\n\n`code`: The error code returned by the API *or* the HTTP status code in case of HTTP errors\n`description`: The error description returned by the API *or* the HTTP status text in case of HTTP errors\n\n`NotImplementedError` and `ParameterError` instances have only one attribute, the error description.\n\nModels\n------\nAlmost every API call (except for the ones that return only a list or something equally simple) will return a parsed model instance representing the response data.\nThere are `User`, `Status`, `Message`, `List`, `APIError` and many more models.\nYou can access the response data as instance attributes like `status.text` or using a dictionary lookup like `status['text']`.\n\nAuthentication\n--------------\nYou can either pass your access token and access token secret when initializing the API instance or go through the normal authentication flow.\nThe authentication flow works like this:\n\n```python\napi = tweetpony.API(consumer_key = \"abc\", consumer_secret = \"def\")\nauth_url = api.get_auth_url()\nprint \"Open this link to obtain your authentication code: %s\" % auth_url\ncode = raw_input(\"Please enter your authentication code: \")\napi.authenticate(code)\n```\n\nAfter you've done this, the access token and access token secret can be obtained from the `API` instance as `api.access_token` and `api.access_token_secret`.\nBy default, TweetPony loads the authenticating user's profile as soon as all four authentication tokens are present. This is also a way of checking whether these tokens are correct. If you do not want the user to be loaded, pass `load_user = False` to the `API` constructor.\nThis is useful if:\n* you want to save API calls\n* you can be sure that the access tokens are correct\n* you don't need the user profile (if you do, you can still load it using the `verify` function of the `API` instance)\n\nUsage example\n-------------\nThis is a simple example script. More can be found in the `examples` directory.\n\n```python\nimport tweetpony\napi = tweetpony.API(consumer_key = \"abc\", consumer_secret = \"def\", access_token = \"ghi\", access_token_secret = \"jkl\")\nuser = api.user\nprint \"Hello, @%s!\" % user.screen_name\ntext = raw_input(\"What would you like to tweet? \")\ntry:\n\tapi.update_status(status = text)\nexcept tweetpony.APIError as err:\n\tprint \"Oops, something went wrong! Twitter returned error #%i and said: %s\" % (err.code, err.description)\nelse:\n\tprint \"Yay! 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        "license": "AGPLv3",
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