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Hbr Hã¢â€šâ€šsoã¢â€šâ€ž Soã¢â€šâ€š Brã¢â€šâ€š Hã¢â€šâ€šo Did O Change Oxidation Number?

ftfy: fixes text for yous

PyPI package Docs

              >>              >              impress(fix_encoding("(ง'⌣')ง")) (ง'⌣')ง

The total documentation of ftfy is available at ftfy.readthedocs.org. The documentation covers a lot more this README, so here are some links into it:

  • Fixing problems and getting explanations
  • Configuring ftfy
  • Encodings ftfy can handle
  • "Fixer" functions
  • Is ftfy an encoding detector?
  • Heuristics for detecting mojibake
  • Support for "bad" encodings
  • Command-line usage
  • Citing ftfy

Testimonials

  • "My life is livable again!" — @planarrowspace
  • "A handy piece of magic" — @simonw
  • "Saved me a large amount of frustrating dev piece of work" — @iancal
  • "ftfy did the right matter right away, with no faffing about. Excellent piece of work, solving a very catchy real-world (whole-earth!) problem." — Brennan Young
  • "I have no idea when I'm gonna need this, but I'one thousand definitely bookmarking it." — /u/ocrow
  • "9.2/x" — pylint

What it does

Here are some examples (plant in the real globe) of what ftfy can do:

ftfy can fix mojibake (encoding mix-ups), by detecting patterns of characters that were clearly meant to be UTF-viii but were decoded every bit something else:

              >>> import ftfy >>> ftfy.fix_text('âœ" No issues') '✔ No problems'                          

Does this audio incommunicable? It'southward actually non. UTF-eight is a well-designed encoding that makes it obvious when it'south existence misused, and a string of mojibake usually contains all the information we demand to recover the original string.

ftfy can fix multiple layers of mojibake simultaneously:

              >>> ftfy.fix_text('The Mona Lisa doesn’t have eyebrows.') "The Mona Lisa doesn't have eyebrows."                          

It tin set mojibake that has had "curly quotes" practical on top of it, which cannot be consistently decoded until the quotes are uncurled:

              >>> ftfy.fix_text("l'humanité") "50'humanité"                          

ftfy tin set mojibake that would have included the character U+A0 (non-breaking space), but the U+A0 was turned into an ASCII infinite and and so combined with another following infinite:

              >>> ftfy.fix_text('Ã\xa0 perturber la réflexion') 'à perturber la réflexion' >>> ftfy.fix_text('à perturber la réflexion') 'à perturber la réflexion'                          

ftfy tin can also decode HTML entities that appear outside of HTML, even in cases where the entity has been incorrectly capitalized:

              >>> # by the HTML v standard, only 'PÉREZ' is acceptable >>> ftfy.fix_text('PÉREZ') 'PÉREZ'                          

These fixes are non applied in all cases, considering ftfy has a strongly-held goal of avoiding false positives -- it should never modify correctly-decoded text to something else.

The following text could be encoded in Windows-1252 and decoded in UTF-8, and it would decode as 'MARQUɅ'. Nevertheless, the original text is already sensible, so it is unchanged.

              >>> ftfy.fix_text('IL Y MARQUÉ…') 'IL Y MARQUÉ…'                          

Installing

ftfy is a Python 3 packet that can be installed using pip:

(Or apply pip3 install ftfy on systems where Python 2 and 3 are both globally installed and pip refers to Python 2.)

Local evolution

ftfy is adult using poetry. Its setup.py is vestigial and is not the recommended way to install information technology.

Install Poesy, check out this repository, and run poetry install to install ftfy for local development, such as experimenting with the heuristic or running tests.

Who maintains ftfy?

I'm Robyn Speer, also known as Elia Robyn Lake. You tin find me on GitHub or Twitter.

Citing ftfy

ftfy has been used every bit a crucial data processing stride in major NLP research.

It's important to give credit accordingly to everyone whose work you build on in enquiry. This includes software, not just high-condition contributions such as mathematical models. All I ask when you lot apply ftfy for enquiry is that you cite it.

ftfy has a citable record on Zenodo. A citation of ftfy may await like this:

              Robyn Speer. (2019). ftfy (Version 5.five). Zenodo. http://doi.org/ten.5281/zenodo.2591652                          

In BibTeX format, the citation is::

              @misc{speer-2019-ftfy,   author       = {Robyn Speer},   title        = {ftfy},   note         = {Version v.five},   year         = 2019,   howpublished = {Zenodo},   doi          = {10.5281/zenodo.2591652},   url          = {https://doi.org/ten.5281/zenodo.2591652} }                          

Source: https://github.com/rspeer/python-ftfy

Posted by: encisosups1996.blogspot.com

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