unicode-normalization

While I was trying to validate my site( http://dvartora.com/DvarTora/ ) I get the following error: Text run is not in Unicode Normalization Form C A: What does it mean? B: Can I fix it with notepad++ and how? C: If B is no, How can I fix this with free tools(not dreamweaver)? A. It means what it says (see dan04’s explanation for a brief answer and the Unicode Standard for a long one), but it simply indicates that the authors of the validator wanted to issue the warning. HTML5 rules do not require Normalization Form C (NFC); it is rather something generally favored by the W3C. B.There is no

I'm under the impression that JavaScript interpreter assumes that the source code it is interpreting has already been normalized. What, exactly does the normalizing? It can't be the text editor, otherwise the plaintext representation of the source would change. Is there some "preprocessor" that does the normalization? bobince No, there is no Unicode Normalization feature used automatically on—or even available to—JavaScript as per ECMAScript 5. All characters remain unchanged as their original code points, potentially in a non-Normal Form. eg try: <script type="text/javascript"> var a= 'café';

consider this simple code: echo iconv('UTF-8', 'ASCII//TRANSLIT', 'è'); it prints `e instead of just e do you know what I am doing wrong? nothing changed after adding setlocale setlocale(LC_COLLATE, 'en_US.utf8'); echo iconv('UTF-8', 'ASCII//TRANSLIT', 'è'); I have this standard function to return valid url strings without the invalid url characters. The magic seems to be in the line after the //remove unwanted characters comment. This is taken from the Symfony framework documentation: http://www.symfony-project.org/jobeet/1_4/Doctrine/en/08 which in turn is taken from http://php.vrana.cz

I need to delete accents from characters in Spanish and others languages from different datasets. I already did a function based in the code provided in this post that removes special the accents. The problem is that the function is slow because it uses an UDF . I'm just wondering if I can improve the performance of my function to get results in less time, because this is good for small dataframes but not for big ones. Thanks in advance. Here the code, you will be able to run it as it is presented: # Importing sql types from pyspark.sql.types import StringType, IntegerType, StructType,

On the API doc, http://docs.python.org/2/library/unicodedata.html#unicodedata.normalize . It says Return the normal form form for the Unicode string unistr . Valid values for form are ‘NFC’, ‘NFKC’, ‘NFD’, and ‘NFKD’.` The documentation is rather vague, can someone explain the valid values with some examples? I find the documentation pretty clear, but here are a few code examples: from unicodedata import normalize print '%r' % normalize('NFD', u'\u00C7') # decompose: convert Ç to "C + ̧" print '%r' % normalize('NFC', u'C\u0327') # compose: convert "C + ̧" to Ç Both 'D' (=decompose) forms

The ICU project (which also now has a PHP library ) contains the classes needed to help normalize UTF-8 strings to make it easier to compare values when searching. However, I'm trying to figure out what this means for applications. For example, in which cases do I want "Canonical Equivalence" instead of "Compatibility equivalence", or vis-versa? Everything You Never Wanted to Know about Unicode Normalization Canonical Normalization Unicode includes multiple ways to encode some characters, most notably accented characters. Canonical normalization changes the code points into a canonical