{
    "info": {
        "author": "Masahiro Wada",
        "author_email": "argon.argon.argon@gmail.com",
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        "classifiers": [
            "Development Status :: 1 - Planning",
            "Intended Audience :: Developers",
            "Natural Language :: English",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.5",
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            "Topic :: Software Development"
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        "description": "# teimpy\n[![PyPI version](https://badge.fury.io/py/teimpy.svg)](https://badge.fury.io/py/teimpy)\n[![MIT licensed](https://img.shields.io/badge/license-MIT-blue.svg)](https://raw.githubusercontent.com/amplify-education/serverless-domain-manager/master/LICENSE)\n[![Build Status](https://travis-ci.org/ar90n/teimpy.svg?branch=master)](https://travis-ci.org/ar90n/teimpy)\n\nPython library for displaying image on terminal.\n\n## Installation\n\n```bash\n$ pip\n```\n\n## Example\n\n```python\nimport numpy as np\nfrom teimpy import get_drawer, Mode\n\nR = np.array([1.0, 0, 0])\nG = np.array([0, 1.0, 0])\nB = np.array([0, 0, 1.0])\n\ndef _get_color(x, y):\n    tmp = (y * (1.0 - x) * R + (1.0 -y ) * x * G + (1.0 - y) * (1.0 - x) * B)\n    return (255 * tmp).astype(np.uint8)\n\ntics = np.linspace(0, 1, 128)\nxs, ys = np.meshgrid(tics, tics)\nbuffer = np.vectorize(_get_color, signature='(),()->(3)')(xs, ys)\nprint(get_drawer(Mode.ITERM2_INLINE_IMAGE).draw(buffer))\n```\n![Result of doit.py](https://github.com/ar90n/teimpy/raw/docs/doit.png)\n\n\n## Feature\n\n* Resize images to fit terminal size.\n* Drawing with iterm2 inline image.\n![Drawing with iterm2 inline image](https://github.com/ar90n/teimpy/raw/docs/inline_image.png)\n* Drawing with Braille fonts.\n![Drawing with Braille ofnts](https://github.com/ar90n/teimpy/raw/docs/braille.png)\n* Drawing with half block fonts.\n![Drawing with half block fonts](https://github.com/ar90n/teimpy/raw/docs/half_block.png)\n\n\n## License\nThis software is released under the MIT License, see [LICENSE](LICENSE).\n\n\n",
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