semvec/pypi-packages huggingface dataset:
mnl-ws-norm 0.0.4
Light-weight tool for normalizing whitespace and accurately tokenizing words (no regex). Multiple natural languages supported.
License: apache-2.0
Keywords: whitespace,multi-language,normalization,noregex

Light-weight tool for normalizing whitespace and accurately tokenizing words (no regex). Multiple natural languages supported. Useful for scrapping, machine learning, and data analysis.


For the full documentation, please see the repository:

https://github.com/Rairye/mnl-ws-norm
back-cleaner 0.0.2
Server-side Python tool for escaping script tags and converting characters into HTML entity equivalents (no regex)
License: apache-2.0
Keywords: HTML,entities,script,escape,serverside

# back-cleaner
Server-side Python tool for escaping script tags and converting characters into HTML entity equivalents (no regex).

## def escape_script_tags(input_str)

This function escapes script tags with backslashes.


### Sample

from back_cleaner.cleaner import escape_script_tags

source = "<script>Hey, how are you doing?</script>"
result = escape_script_tags(source)
print(result)


## def replace_with_ents(input_str)

This function converts the following characters into the HTML entity equivalents.

1. Ampersand (&)
2. Less than (<)
3. Greater than (>)
4. Double quote (")
5. Single quote (')


### Sample

from back_cleaner.cleaner import replace_with_ents

source = "<script>Hey, how are you doing?</script>"
result = replace_with_ents(source)
print(result)