Skip to main content

Generate CSV files containing random words from a dictionary

Project description

Generate CSV files containing random words from a dictionary

Get the script from the buildout:

>>> import os
>>> gibberish = os.path.join(
...     reduce(lambda path, _: os.path.dirname(path),
...            range(3), __file__), 'bin', 'gibberish')

Print the help:

>>> from zc.buildout.testing import system
>>> print system(gibberish+' --help'),
usage: gibberish [options] LINES COLUMN [COLUMN ...]
<BLANKLINE>
Generate lines of CSV consisting of random words from a
dictionary.  The number of lines of CSV must be specified either
as a single integer to specify a fixed number of lines or two
integers separated by a dash to specify that a random number of
lines between the two integers should be used.  The columns are
specified in the same manner where the numbers represent the
number of words in that column for a given line.
<BLANKLINE>
options:
  -h, --help            show this help message and exit
  -w WORDS, --words=WORDS
                        File containing the words to be chosen
                        from [default: /usr/share/dict/words]

Make a simple file with one line and one column containing one word:

>>> import cStringIO, csv
>>> result = tuple(csv.reader(cStringIO.StringIO(
...     system(gibberish+' 1 1'))))
>>> len(result)
1
>>> len(result[0])
1
>>> len(result[0][0].split())
1

Make sure that the newline is stripped:

>>> result[0][0][-1] != '\n'
True

With two words in the column:

>>> result = tuple(csv.reader(cStringIO.StringIO(
...     system(gibberish+' 1 2'))))
>>> len(result)
1
>>> len(result[0])
1
>>> len(result[0][0].split())
2

With a random number of words in the column:

>>> result = tuple(csv.reader(cStringIO.StringIO(
...     system(gibberish+' 1 1-10'))))
>>> len(result)
1
>>> len(result[0])
1
>>> 1 <= len(result[0][0].split()) <= 10
True

With 10 lines:

>>> result = tuple(csv.reader(cStringIO.StringIO(
...     system(gibberish+' 10 2'))))
>>> len(result)
10
>>> len(result[0])
1
>>> len(result[0][0].split())
2

With a random number of lines:

>>> result = tuple(csv.reader(cStringIO.StringIO(
...     system(gibberish+' 1-10 2'))))
>>> 1 <= len(result) <= 10
True
>>> len(result[0])
1
>>> len(result[0][0].split())
2

With two columns:

>>> result = tuple(csv.reader(cStringIO.StringIO(
...     system(gibberish+' 1 2 3'))))
>>> len(result)
1
>>> len(result[0])
2
>>> len(result[0][0].split())
2
>>> len(result[0][1].split())
3

With a random number of words including zero in the column:

>>> result = tuple(csv.reader(cStringIO.StringIO(
...     system(gibberish+' 1 0-1'))))
>>> len(result)
1
>>> len(result[0])
1
>>> len(result[0][0].split()) in (0, 1)
True

With a small dictionary to test exhausting the dictionary:

>>> import tempfile
>>> _, tmp_path = tempfile.mkstemp()
>>> tmp = file(tmp_path, 'w')
>>> tmp.write('foo')
>>> tmp.close()
>>> result = tuple(csv.reader(cStringIO.StringIO(
...     system(gibberish+' -w %s 1 1' % tmp_path))))
>>> result
(['foo'],)
>>> os.remove(tmp_path)

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

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

Files for z3c.gibberish, version 0.1
Filename, size File type Python version Upload date Hashes
Filename, size z3c.gibberish-0.1.tar.gz (4.9 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page