{
    "info": {
        "author": "Joseph Kato",
        "author_email": "joseph@jdkato.io",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6"
        ],
        "description": "\n# Markdata: Keep your data out of your markup!\n\n[![Build Status](https://img.shields.io/travis/errata-ai/vale/master.svg?logo=travis)](https://travis-ci.org/errata-ai/markdata) ![PyPI](https://img.shields.io/pypi/v/markdata.svg?colorB=blue&style=flat) [![wheels](https://img.shields.io/badge/wheels-%E2%9C%93-4c1.svg?longCache=true&logo=python&logoColor=white)](https://pypi.org/project/markdata/#files) [![code style](https://img.shields.io/badge/code%20style-black-%23000.svg)](https://black.readthedocs.io/en/stable/)\n\n**Markdata** is a Python library and command-line tool for managing data (e.g., code, diagrams, tables, etc.) in Markdown files. Its goal is to promote one simple rule: prose and non-prose supplements (collectively referred to as \"data\") should be managed separately whenever possible. The benefits of this philosophy include:\n\n- Adherence to the [DRY principle](https://en.wikipedia.org/wiki/Don%27t_repeat_yourself): multiple files can include data from the same source.\n\n- Higher-quality data: code examples can be tested, tables can be generated directly from serialization formats, diagrams can be built from source, etc.\n\n- Human-friendly markup: less non-prose content means shorter files, which are easier to update and maintain.\n\nSee [*Fixing Markdown\u2019s shortcomings with Python*](https://medium.com/@jdkato/fixing-markdowns-shortcomings-with-python-cf1d31450e56) for more information.\n\n## Installation\n\n> :exclamation: Markdata requires Python >= 3.6.0. :exclamation:\n\n```console\n$ pip install markdata\n```\n\n## Usage\n\n###### As a library\n\n```python\nimport markdata\n\ndef my_directive():\n    pass\n\nmarkdown = markdata.markdata(\n    # A string or file-like object.\n    file_or_str,\n    # A dictionary of custom directives (optional).\n    #\n    # Format: {'name': my_directive}.\n    directives={},\n    # The type of front matter to parse (optional).\n    fm_format=None,  # 'JSON', 'YAML', or 'TOML'\n    # The directory that paths will be resolved relative to (optional).\n    root=None\n)\n```\n\n###### From the command line\n\n```console\n$ markdata --help\nUsage: markdata [OPTIONS] SOURCE [DESTINATION]\n\n  A flavor-agnostic extension framework for Markdown.\n\n  Reads from <SOURCE> and writes to <DESTINATION>.\n\n  If <SOURCE> is a single file, it will be converted to Markdown and written\n  to <DESTINATION> (default: stdout).\n\n  If <SOURCE> is a directory, all child Markdata files will be converted to\n  Markdown and written to <DESTINATION> (default: overwrite <SOURCE>).\n\nOptions:\n  --fm-type [JSON|YAML|TOML]  The type of front matter to parse.\n  --root PATH                 The directory that paths will be resolved\n                              relative to.\n  --directives PATH           The directory containing your custom directives.\n  --version                   Show the version and exit.\n  --help                      Show this message and exit.\n```\n\n## Directives\n\nMarkdata's functionality is driven by *directives*, which are Markdown snippets that invoke Python functions. Directives can be defined in two ways:\n\n````markdown\n# Example directives\n\n<!-- This is a \"block\" directive -->\n\n```callout{'title': 'NOTE', 'classes': ['warning']}\nThis is a callout message.\n```\n\n<!-- This is an \"inline\" directive -->\n\n`table{'path': '../data/table.yml', 'classes': ['table'], 'caption': 'My data'}`\n````\n\nThe `table` directive creates an HTML table from a YAML, JSON, or CSV file (with an optional caption and classes). After calling `markdata` on this file, the output would be something along the lines of:\n\n```html\n<table class=\"table\">\n    <caption>My data</caption>\n    <thead>\n        <!-- headers -->\n    </thead>\n    <tbody>\n        <!-- rows -->\n    </tbody>\n</table>\n```\n\n### Built-in directives\n\nMarkdata has two built-in, general-purpose directives:\n\n```python\ndef table(path: str, classes: List[str] = [], caption: str = \"\") -> str:\n    \"\"\"Return an HTML table built from structured data (CSV, JSON, or YAML).\n\n    `path` [required]: A path (relative to the directive-containing file) to a\n           CSV, JSON, or YAML file.\n\n    `classes` [optional]: A list of HTML classes to apply to the table.\n\n    `caption` [optional]: A caption for the table.\n\n    Example:\n\n        `table{'path': 'table.yml', 'classes': ['table'], 'caption': '...'}`\n    \"\"\"\n```\n\nThe `table` directive ([discussed above](#directives)) creates an HTML table from an external data source (CSV, JSON, or YAML). This allows you to avoid having to write and maintain tables in raw Markdown or HTML.\n\n```python\ndef document(path: str, span: Tuple[int, int] = []) -> str:\n    \"\"\"Return the contents of a document (or part of it).\n\n    `path` [required]: A path (relative to the directive-containing file) to a\n           local file.\n\n    `span` [optional]: A tuple ([begin, end]) indicating the beginning and\n           ending line of the snippet (defaults to the entire file).\n\n    Example:\n\n        `document{'path': 'my_file.py', 'span': (10, 13)}`\n    \"\"\"\n```\n\nThe `document` directive includes the content of an external text file (of any type&mdash;Markdown, Python, etc.). This allows you to, for example, write your code examples in their own files (which can be properly tested and linted).\n\n### Writing your own\n\n> **NOTE**: The first argument passed to custom directives will be a dictionary created from the file's front matter (`{}` by default).\n\nWhile `table` and `document` attempt to solve the most common needs, the true power of Markdata comes from leveraging Python in *your own* directives.\n\nThere are three steps to creating a directive:\n\n1. Design your *directive definition*:  Choose either an inline or block directive and decide what arguments it'll accept.\n\n2. Write a Python function: This function needs to accept the arguments defined in step (1). So, if you were re-implementing the built-in `table` directive, you'd have a directive definition of `table{'path': '../data/table.yml', 'classes': ['table'], 'caption': 'My data'}` and a function definition of `table(fm: Dict, path: str, classes: List[str] = [], caption: str = \"\") -> str:`. When using block directives, the first argument passed to the backend function is its content (see our [admonition example](https://github.com/errata-ai/markdata/blob/master/tests/block/__init__.py)).\n\n3. Associate your directive with your function:\n\n    - Using the library:\n    ```python\n    # When using Markdata as a library, you simply pass your function to `markdata`:\n    import markdata\n\n\n    def implementation(path):\n        pass\n\n    markdown = markdata.markdata(file_or_str, directives={'directive': implementation})\n    ```\n    - Using the command-line tool: Markdata will associate all Python modules with their `main` function found in the   directory passed to `--directives='my_dir'`.\n\nCheck out [our test cases](https://github.com/errata-ai/Markdata/tree/master/tests) for some examples.\n\n#### Converters\n\nConverters are utilities that you can import and use in your own directives.\n\n```python\n# from markdata.converters import to_html_table\ndef to_html_table(\n    rows: List[List[str]], caption: str = \"\", classes: List[str] = []\n) -> str:\n    \"\"\"Convert the given rows into an HTML table.\n\n    The first entry in `rows` will be used as the table headers.\n    \"\"\"\n```\n\n## FAQ\n\n> Why only Markdown? What about AsciiDoc and reStructuredText?\n\nAsciiDoc and reStructuredText have more feature-rich syntaxes than Markdown. Many of Markdata's features are available out-of-the-box (in some form) in AsciiDoc and reStructuredText.\n\nThat said, Markdown has a much larger ecosystem of parsers (practically every language has a *native* Markdown library), editors (and editor plugins), linters, and static site generators than both AsciiDoc and reStructuredText.\n\nMarkdata's goal is to enrich Markdown's syntax without hurting its portability (see the next question).\n\n> What \"flavors\" of Markdown does Markdata support?\n\n*All of them*.\n\nOne of the common complaints about Markdown is that many of its best features are tied to a particular \"flavor\" (see [Babelmark](https://johnmacfarlane.net/babelmark2/faq.html)) that may not be compatible with other Markdown-related tooling.\n\nMarkdata avoids this problem by acting as more of a \"preprocessor\" (i.e., `Markdata + Markdown <=> Sass + CSS`) than another Markdown implementation. Its users have full control over what it outputs&mdash;meaning that they can choose to output raw HTML (effectively bypassing the problem of flavors altogether) or make use of features limited to their favorite flavor:\n\n<p align=\"center\">\n  <img src =\"https://user-images.githubusercontent.com/8785025/52157384-8b1b5780-2643-11e9-83de-828d2e541742.png\"/>\n</p>\n\n> What if I'm already using a static site generator (SSG)?\n\nWhile many SSGs have built-in support for external data sources (e.g., [Jekyll](https://jekyllrb.com/docs/datafiles/), [Hugo](https://gohugo.io/templates/data-templates/), and [Gatsby](https://www.gatsbyjs.org/tutorial/part-four/)), there are still benefits to using Markdata:\n\n- As dicussed in the previous question, Markdata *doesn't* introduce new Markdown syntax&mdash;meaning Markdata directives can be used with *any* SSG that supports Markdown. This means that you can change SSGs without having to update the syntax (i.e., template language) for accessing your data.\n\n- Markdata's ability to manage data is far more powerful than what most SSGs offer: instead of merely iterating over static resource files, you have full access to Python and its library ecosystem. So, for example, you can\n    - fetch data from APIs using the ultra-popular [Requests](http://docs.python-requests.org/en/master/) library;\n    - include plots and diagrams created with [seaborn](https://github.com/mwaskom/seaborn); or\n    - transform data using [pandas](https://github.com/pandas-dev/pandas).\n\n\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/errata-ai/markdata",
        "keywords": "",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "markdata",
        "package_url": "https://pypi.org/project/markdata/",
        "platform": "",
        "project_url": "https://pypi.org/project/markdata/",
        "project_urls": {
            "Homepage": "https://github.com/errata-ai/markdata"
        },
        "release_url": "https://pypi.org/project/markdata/0.4.1/",
        "requires_dist": [
            "pyyaml",
            "tabulate",
            "click",
            "python-frontmatter"
        ],
        "requires_python": ">=3.6.0",
        "summary": "An extensible, parser-agnostic 'include' directive for Markdown.",
        "version": "0.4.1"
    },
    "last_serial": 5574071,
    "releases": {
        "0.1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "9da05dc53ed64efe1e4a0f46831f3bde",
                    "sha256": "2ef2ea7de7a5611d2e2dacfce84a1b26ea2fd70037dc38c8bc9877a30e44b30c"
                },
                "downloads": -1,
                "filename": "markdata-0.1.0-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "9da05dc53ed64efe1e4a0f46831f3bde",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 9378,
                "upload_time": "2019-02-03T01:59:35",
                "url": "https://files.pythonhosted.org/packages/e7/f4/4f725586af46cb90bf982bb6eaebd6249b5dccca0852ee11b33825789368/markdata-0.1.0-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "1217b4f10ca2fb4284b7f24ef7ee8d1b",
                    "sha256": "266ef6a914e851bb854c423a2923f6e41f2f3722584b2da79e038719b2623df2"
                },
                "downloads": -1,
                "filename": "markdata-0.1.0.tar.gz",
                "has_sig": false,
                "md5_digest": "1217b4f10ca2fb4284b7f24ef7ee8d1b",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 8908,
                "upload_time": "2019-02-03T01:59:37",
                "url": "https://files.pythonhosted.org/packages/7e/3a/1b76ccb49fb390a2392c7fab93d0400faccef32fc17809a02da87d30e3a2/markdata-0.1.0.tar.gz"
            }
        ],
        "0.2.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "578fff9fb22ae41c63123bc609f1902a",
                    "sha256": "d73acb29d820ea45077d19cfb59519ccd6f83e36cdee78d332d91b808b4fe3e5"
                },
                "downloads": -1,
                "filename": "markdata-0.2.0-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "578fff9fb22ae41c63123bc609f1902a",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 9849,
                "upload_time": "2019-02-03T22:51:38",
                "url": "https://files.pythonhosted.org/packages/54/a2/0164c126a446b05af4b7d3d4e0ebdf6c37813f73f3990a35005559fb1f15/markdata-0.2.0-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "cfb60987a699a8348777adb7d7856250",
                    "sha256": "e3b220e295bacfe10a90be69619e7841aebd3466f59c2112be0a22ed28db7ce3"
                },
                "downloads": -1,
                "filename": "markdata-0.2.0.tar.gz",
                "has_sig": false,
                "md5_digest": "cfb60987a699a8348777adb7d7856250",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 9909,
                "upload_time": "2019-02-03T22:51:40",
                "url": "https://files.pythonhosted.org/packages/80/bc/7e3aea52f2643e099199286cc14324b10493c180cee7a6c7a733f9273bf5/markdata-0.2.0.tar.gz"
            }
        ],
        "0.2.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "c7c6143e369b193404ecfaf43380a276",
                    "sha256": "42aa12b6fa00214c59517947cd6255d4dca5f7032958c7203fd168cd3d237a29"
                },
                "downloads": -1,
                "filename": "markdata-0.2.1-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "c7c6143e369b193404ecfaf43380a276",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 10650,
                "upload_time": "2019-02-03T23:06:15",
                "url": "https://files.pythonhosted.org/packages/4b/0d/2bd1414b99f6c82a93ec325465beb4680e3a1f6f3ef27849070e37ad0a32/markdata-0.2.1-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "937113524d32e51bb50d8ca3cd1401ec",
                    "sha256": "9afb9d8d4e171c5495e23c00aa9344c06e1df989922759a3f691230c33ded26c"
                },
                "downloads": -1,
                "filename": "markdata-0.2.1.tar.gz",
                "has_sig": false,
                "md5_digest": "937113524d32e51bb50d8ca3cd1401ec",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 9355,
                "upload_time": "2019-02-03T23:06:17",
                "url": "https://files.pythonhosted.org/packages/3a/a0/bfb1f6e9a20b915966f74bbb4b1f9e6a61bc764fa4ec671fb95446cc0ba8/markdata-0.2.1.tar.gz"
            }
        ],
        "0.2.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "7963c5006e85cab60cd8dc9d673ea343",
                    "sha256": "f3b1586a0f3f8e09cda342612c7d65d5cfc1a4e1a37942edb75dffc5828eface"
                },
                "downloads": -1,
                "filename": "markdata-0.2.2-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "7963c5006e85cab60cd8dc9d673ea343",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 10651,
                "upload_time": "2019-02-03T23:13:20",
                "url": "https://files.pythonhosted.org/packages/53/a8/82bc6dd20fc2727efd01fac382ceb2be839a1bed1cd03b2b29873c421b6d/markdata-0.2.2-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "7baad22d48a01222a10d280961bec76e",
                    "sha256": "9355b0090bd6ba86aeaee4f395f986f7c7b8e391ad0bec2ff86b938f4a74add3"
                },
                "downloads": -1,
                "filename": "markdata-0.2.2.tar.gz",
                "has_sig": false,
                "md5_digest": "7baad22d48a01222a10d280961bec76e",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 9354,
                "upload_time": "2019-02-03T23:13:22",
                "url": "https://files.pythonhosted.org/packages/d3/04/63a8b6f65a9b78f8571f9acfde7089b7adf7a7b5576cf106f64fe77ebe62/markdata-0.2.2.tar.gz"
            }
        ],
        "0.2.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "cdeafd076d15bf9aaeea216f0c6b7988",
                    "sha256": "4d955d29628addf6a76ccbfed68906f3d832b02793a8d30cb77df252bb616a33"
                },
                "downloads": -1,
                "filename": "markdata-0.2.3-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "cdeafd076d15bf9aaeea216f0c6b7988",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 11527,
                "upload_time": "2019-02-03T23:26:01",
                "url": "https://files.pythonhosted.org/packages/17/60/bd1a1ea5458d345d3ac8386b4ab1bb38afb55329a3fd6851379340f25729/markdata-0.2.3-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "9842e033d67ab7cfc43acee0ace363f4",
                    "sha256": "0508a8cf9889383c495a67283a6ecef239fd81bcac148fa20d12d8ccc52f04f4"
                },
                "downloads": -1,
                "filename": "markdata-0.2.3.tar.gz",
                "has_sig": false,
                "md5_digest": "9842e033d67ab7cfc43acee0ace363f4",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 10564,
                "upload_time": "2019-02-03T23:26:03",
                "url": "https://files.pythonhosted.org/packages/d3/81/b57345de9ee14bfb9b299be07b9a21a4570c966a5b00847f99b4e8c176d8/markdata-0.2.3.tar.gz"
            }
        ],
        "0.2.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "2b06acf798962fa5d724fad4b9fda543",
                    "sha256": "4581ace9e2766fcd497890b54bc34e19b1dca82eb60394de3cb9bee4a6ac6293"
                },
                "downloads": -1,
                "filename": "markdata-0.2.4-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "2b06acf798962fa5d724fad4b9fda543",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 10717,
                "upload_time": "2019-02-04T00:32:58",
                "url": "https://files.pythonhosted.org/packages/4f/73/249f7c6608d4d47fc28cb717d302be380ee58cc1229011e529030596bd3c/markdata-0.2.4-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "23e9c61d5f43e4009491f13bac5be17f",
                    "sha256": "4fb12f3d25e4ebea041e2c67983b9726fbaa6f8f1e7a39f2837c1e9dc6ea68f2"
                },
                "downloads": -1,
                "filename": "markdata-0.2.4.tar.gz",
                "has_sig": false,
                "md5_digest": "23e9c61d5f43e4009491f13bac5be17f",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 9918,
                "upload_time": "2019-02-04T00:33:00",
                "url": "https://files.pythonhosted.org/packages/33/85/84d2c22d8fdd641eae016232e08e49a432d7b483ea088e633798d5fd79d6/markdata-0.2.4.tar.gz"
            }
        ],
        "0.2.5": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "e9708bbf038940d62d5a223cd930e416",
                    "sha256": "a4b8fc2458eb510786791b9bebdb7ec346ed0f6a1dacc9406fb83efd80f3d10e"
                },
                "downloads": -1,
                "filename": "markdata-0.2.5-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "e9708bbf038940d62d5a223cd930e416",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 11606,
                "upload_time": "2019-02-04T21:02:28",
                "url": "https://files.pythonhosted.org/packages/e0/81/f9f5081cce6dee5a909a4575fbb6e16862cecc59aad0fd44a79030994a05/markdata-0.2.5-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "d7bd2eea57fef184b6f4f61ac03ab3be",
                    "sha256": "7709fab069f3d2b1f3f891dd0328b554277ef3ef626793a3e38fc6606fa9bc94"
                },
                "downloads": -1,
                "filename": "markdata-0.2.5.tar.gz",
                "has_sig": false,
                "md5_digest": "d7bd2eea57fef184b6f4f61ac03ab3be",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 10633,
                "upload_time": "2019-02-04T21:02:30",
                "url": "https://files.pythonhosted.org/packages/5f/71/44331a19ae0903cf7df7687dda8597824aca6bec8b46dbb91efb9de1bcb8/markdata-0.2.5.tar.gz"
            }
        ],
        "0.3.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "6979b83cc0b93c1a12a3e2b1ed359af1",
                    "sha256": "fc7216a245d491a337dd3348bdd70842da554bdedea86c517f1d0505107e7e06"
                },
                "downloads": -1,
                "filename": "markdata-0.3.0-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "6979b83cc0b93c1a12a3e2b1ed359af1",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 12500,
                "upload_time": "2019-02-07T00:49:17",
                "url": "https://files.pythonhosted.org/packages/45/4c/3dde069ed5ae6b1dacd6cc5c5c7a6be168da7bb59b9c3b63475d3c1ae63d/markdata-0.3.0-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "957c0212153722c49a04317428cfe416",
                    "sha256": "305a6681869192ecc42f62b5f8715ce3ad6a6eea4f026b7531abfc70c55c7af6"
                },
                "downloads": -1,
                "filename": "markdata-0.3.0.tar.gz",
                "has_sig": false,
                "md5_digest": "957c0212153722c49a04317428cfe416",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 11460,
                "upload_time": "2019-02-07T00:49:19",
                "url": "https://files.pythonhosted.org/packages/53/cb/96454670cd228d7efd1d36e19dc44ddc42534ff3e460c6ee584f15beb017/markdata-0.3.0.tar.gz"
            }
        ],
        "0.3.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "058aa10ed4835baacbc4ddd6d8e1a507",
                    "sha256": "350538052485b9aae24e0167a5544fcfc23c5bfc5330721bbf81ad1123bd0524"
                },
                "downloads": -1,
                "filename": "markdata-0.3.1-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "058aa10ed4835baacbc4ddd6d8e1a507",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 12502,
                "upload_time": "2019-02-07T01:06:41",
                "url": "https://files.pythonhosted.org/packages/5c/c1/2a515d6ab0ad5c60deea83355ef82e68366897504b760bf6988d6b9d1c42/markdata-0.3.1-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "dda6d7c2e7def6d0b2a98af3186ee3d2",
                    "sha256": "90ff823a076be9feb8ed82b3eacff07bb1440247e34108481a37129a1a524257"
                },
                "downloads": -1,
                "filename": "markdata-0.3.1.tar.gz",
                "has_sig": false,
                "md5_digest": "dda6d7c2e7def6d0b2a98af3186ee3d2",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 11463,
                "upload_time": "2019-02-07T01:06:43",
                "url": "https://files.pythonhosted.org/packages/41/3a/324ceb5c9c3e360bffdbd93a9b8c33f2849cb5cf9fc6701a322eaee9ae1f/markdata-0.3.1.tar.gz"
            }
        ],
        "0.4.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "43d7092f57bb80ebcebb2a2d0e787e3a",
                    "sha256": "46caa47b4bfb82c93ee8b187674054d66a9fa9aa3da8acf1bc5ce420c0f8a880"
                },
                "downloads": -1,
                "filename": "markdata-0.4.0-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "43d7092f57bb80ebcebb2a2d0e787e3a",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 12889,
                "upload_time": "2019-02-14T20:20:27",
                "url": "https://files.pythonhosted.org/packages/03/1d/b4d013e5ac6e8db20a2198a8b2e69c51ec5457a2bdc3850509e1f593948f/markdata-0.4.0-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "e699528cc47b31bd82b913d36c7e2c04",
                    "sha256": "d25eb82aa9fcc3a9b4bbed0cf26063956ee195b86ed091f305f3d9024801a8e4"
                },
                "downloads": -1,
                "filename": "markdata-0.4.0.tar.gz",
                "has_sig": false,
                "md5_digest": "e699528cc47b31bd82b913d36c7e2c04",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 12086,
                "upload_time": "2019-02-14T20:20:29",
                "url": "https://files.pythonhosted.org/packages/7b/b1/5da588e4ede1cf1f5838aaa03e04b47c3bf6a39ef4e3a86acddfac1887fd/markdata-0.4.0.tar.gz"
            }
        ],
        "0.4.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "cb82a472e8616e8aa3e9f9bbfa163c23",
                    "sha256": "324f07da2964d0d1f89ccf3691bf970cbd4a5ee7409ac55a6e84b77a79103325"
                },
                "downloads": -1,
                "filename": "markdata-0.4.1-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "cb82a472e8616e8aa3e9f9bbfa163c23",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 12669,
                "upload_time": "2019-07-23T19:23:39",
                "url": "https://files.pythonhosted.org/packages/52/a0/989f2280e73fb96a1f7f917efed64eb6631e590bd75fb1a1ec6ddd0e1735/markdata-0.4.1-py2.py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "802258b712e5466b32f18317ec845f17",
                    "sha256": "572f439f370523e99a8d4cac73b61c110c5b0ed726d36314d085e1a0f77a1776"
                },
                "downloads": -1,
                "filename": "markdata-0.4.1.tar.gz",
                "has_sig": false,
                "md5_digest": "802258b712e5466b32f18317ec845f17",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": ">=3.6.0",
                "size": 11742,
                "upload_time": "2019-07-23T19:23:41",
                "url": "https://files.pythonhosted.org/packages/a4/f9/12d6f3b256f333a723f3e291c7dad9047138b23638a0d1d5aa18d0ad70b7/markdata-0.4.1.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "cb82a472e8616e8aa3e9f9bbfa163c23",
                "sha256": "324f07da2964d0d1f89ccf3691bf970cbd4a5ee7409ac55a6e84b77a79103325"
            },
            "downloads": -1,
            "filename": "markdata-0.4.1-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "cb82a472e8616e8aa3e9f9bbfa163c23",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": ">=3.6.0",
            "size": 12669,
            "upload_time": "2019-07-23T19:23:39",
            "url": "https://files.pythonhosted.org/packages/52/a0/989f2280e73fb96a1f7f917efed64eb6631e590bd75fb1a1ec6ddd0e1735/markdata-0.4.1-py2.py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "802258b712e5466b32f18317ec845f17",
                "sha256": "572f439f370523e99a8d4cac73b61c110c5b0ed726d36314d085e1a0f77a1776"
            },
            "downloads": -1,
            "filename": "markdata-0.4.1.tar.gz",
            "has_sig": false,
            "md5_digest": "802258b712e5466b32f18317ec845f17",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6.0",
            "size": 11742,
            "upload_time": "2019-07-23T19:23:41",
            "url": "https://files.pythonhosted.org/packages/a4/f9/12d6f3b256f333a723f3e291c7dad9047138b23638a0d1d5aa18d0ad70b7/markdata-0.4.1.tar.gz"
        }
    ]
}