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**Description** : New documents loader for visio files (with extension .vsdx) A [visio file](https://fr.wikipedia.org/wiki/Microsoft_Visio) (with extension .vsdx) is associated with Microsoft Visio, a diagram creation software. It stores information about the structure, layout, and graphical elements of a diagram. This format facilitates the creation and sharing of visualizations in areas such as business, engineering, and computer science. A Visio file can contain multiple pages. Some of them may serve as the background for others, and this can occur across multiple layers. This loader extracts the textual content from each page and its associated pages, enabling the extraction of all visible text from each page, similar to what an OCR algorithm would do. **Dependencies** : xmltodict package |
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|---|---|---|
| .. | ||
| brandfetch-brandfetch-2.0.0-resolved.json | ||
| default-encoding.py | ||
| docusaurus-sitemap.xml | ||
| duplicate-chars.pdf | ||
| example-utf8.html | ||
| example.html | ||
| example.json | ||
| example.mht | ||
| facebook_chat.json | ||
| factbook.xml | ||
| fake-email-attachment.eml | ||
| fake.odt | ||
| fake.vsdx | ||
| hello_world.js | ||
| hello_world.py | ||
| hello.msg | ||
| hello.pdf | ||
| layout-parser-paper.pdf | ||
| multi-page-forms-sample-2-page.pdf | ||
| non-utf8-encoding.py | ||
| README.org | ||
| README.rst | ||
| sample_rss_feeds.opml | ||
| sitemap.xml | ||
| slack_export.zip | ||
| stanley-cups.csv | ||
| stanley-cups.tsv | ||
| stanley-cups.xlsx | ||
| whatsapp_chat.txt | ||
Example Docs
------------
The sample docs directory contains the following files:
- ``example-10k.html`` - A 10-K SEC filing in HTML format
- ``layout-parser-paper.pdf`` - A PDF copy of the layout parser paper
- ``factbook.xml``/``factbook.xsl`` - Example XML/XLS files that you
can use to test stylesheets
These documents can be used to test out the parsers in the library. In
addition, here are instructions for pulling in some sample docs that are
too big to store in the repo.
XBRL 10-K
^^^^^^^^^
You can get an example 10-K in inline XBRL format using the following
``curl``. Note, you need to have the user agent set in the header or the
SEC site will reject your request.
.. code:: bash
curl -O \
-A '${organization} ${email}'
https://www.sec.gov/Archives/edgar/data/311094/000117184321001344/0001171843-21-001344.txt
You can parse this document using the HTML parser.