Skip to main content

No project description provided

Project description

Build Status

Latest VersionDownloads

The purpose of the module Match is to get the offsets (as well as the string between those offsets, for debugging) of a cleaned-up, tokenized string from its original, untokenized source. “Big deal,” you might say, but this is actually a pretty difficult task if the original text is sufficiently messy, not to mention rife with Unicode characters.

Consider some text, stored in a variable original_text, like:

I   am writing a letter !  Sometimes,I forget to put spaces (and do weird stuff with punctuation)  ?  J'aurai une pomme, s'il vous plâit !

This will/should/might be properly tokenized as:

[['I', 'am', 'writing', 'a', 'letter', '!'],
 ['Sometimes', ',', 'I', 'forget', 'to', 'put', 'spaces', '-LRB-', 'and', 'do', 'weird', 'stuff', 'with', 'punctuation', '-RRB-', '?'],
 ["J'aurai", 'une', 'pomme', ',', "s'il", 'vous', 'plâit', '!']]


In [2]: import match

In [3]: match.match(original_text, ['-LRB-', 'and', 'do', 'weird', 'stuff', 'with', 'punctuation', '-RRB-'])
Out[3]: [(60, 97, '(and do weird stuff with punctuation)')]

In [4]: match.match(original_text, ['I', 'am', 'writing', 'a', 'letter', '!'])
Out[4]: [(0, 25, 'I   am writing a letter !')]

In [5]: match.match(original_text, ["s'il", 'vous', 'plâit', '!'])
Out[5]: [(121, 138, "s'il vous plâit !")]

The return type from match() is a list because it will return all occurrences of the argument, be it a list of tokens or a single string (word):

In [6]: match.match(original_text, "I")
Out[6]: [(0, 1, 'I'), (37, 38, 'I')]

When passing in a single string, match() is expecting that string to be a single word or token. Thus:

In [7]: match.match("****because,the****", "because , the")
Out[7]: []

Try passing in "because , the".split(' ') instead, or better yet, the output from a proper tokenizer.

For convenience, a function called match_lines() is provided:

In [8]: match.match_lines(original_text, [
   ...: ['-LRB-', 'and', 'do', 'weird', 'stuff', 'with', 'punctuation', '-RRB-'],
   ...: ['I', 'am', 'writing', 'a', 'letter', '!'],
   ...: "I"
   ...: ])
[(0, 1, 'I'),
 (0, 25, 'I   am writing a letter !'),
 (37, 38, 'I'),
 (60, 97, '(and do weird stuff with punctuation)')]

The values returned will always be sorted by their offsets.


pip install match, or for Mac OS X and 64-bit Linux:

$ conda install -c dmnapolitano match




Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

match-0.3.0.tar.gz (5.0 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page