def _format_histogram(cls, title, histogram):
#maximum column name width and value
max_value = max(c[1] for c in histogram)
widths = [Text.text_width-cls._hist_width-1, cls._hist_width+1]
histogram_string = '-'*Text.text_width + '\n'
#wrap column and hist titles
histogram_string += line_by_line([title, cls._hist_column_title],
widths, j_center=True)
histogram_string += '-'*Text.text_width + '\n'
#histogram lines
for col in histogram:
#line value
hist_value = int(round((cls._hist_width*col[1])/max_value))
col_spacer = cls._hist_width - hist_value
#value figure
value_str = tdf.format_concentration(col[1])
hist_bar = ''
if len(value_str) < col_spacer:
_spacer = col_spacer-len(value_str)
hist_bar += '#'*hist_value + ' '*_spacer + value_str
else:
_bar = hist_value-len(value_str)
hist_bar += '#'*(_bar/2) + value_str
hist_bar += '#'*(_bar-_bar/2) + ' '*col_spacer
histogram_string += line_by_line([col[0],hist_bar], widths, divider=':')
histogram_string += '-'*Text.text_width + '\n'
histogram_string += '\n'
return histogram_string
def _format_histogram(cls, title, histogram):
#maximum column name width and value
max_value = max(c[1] for c in histogram)
widths = [Text.text_width - cls._hist_width - 1, cls._hist_width + 1]
histogram_string = '-' * Text.text_width + '\n'
#wrap column and hist titles
histogram_string += line_by_line([title, cls._hist_column_title],
widths,
j_center=True)
histogram_string += '-' * Text.text_width + '\n'
#histogram lines
for col in histogram:
#line value
hist_value = int(round((cls._hist_width * col[1]) / max_value))
col_spacer = cls._hist_width - hist_value
#value figure
value_str = tdf.format_concentration(col[1])
hist_bar = ''
if len(value_str) < col_spacer:
_spacer = col_spacer - len(value_str)
hist_bar += '#' * hist_value + ' ' * _spacer + value_str
else:
_bar = hist_value - len(value_str)
hist_bar += '#' * (_bar / 2) + value_str
hist_bar += '#' * (_bar - _bar / 2) + ' ' * col_spacer
histogram_string += line_by_line([col[0], hist_bar],
widths,
divider=':')
histogram_string += '-' * Text.text_width + '\n'
histogram_string += '\n'
return histogram_string
'''
Created on 2016-01-14
@author: Allis Tauri <*****@*****.**>
'''
import cProfile
from BioUtils.Tools.Text import wrap_text, line_by_line
if __name__ == '__main__':
txt = '''If true, TextWrapper attempts to detect sentence endings and ensure
that sentences are always separated by exactly two spaces. This is generally
desired for text in a monospaced font. However, the sentence detection
algorithm is imperfect: it assumes that a sentence ending consists of a
lowercase letter followed by one of '.', '!', or '?', possibly followed by
one of '"' or "'", followed by a space. One problem with this is algorithm
is that it is unable to detect the difference between “Dr.” in'''
print wrap_text(txt)
print '='*80
texts = ['asdfasd sreydstnsr mywyy eratg AG RADFG SDFGA lkjoiuguivuasdfhpwoiefjahgaiohghouygmuimjiuh',
'qasf; a[r uq[ewjrfasdhfuiah [WERJ AOSF BA;We werqt',
'wreyqeuqy a poiertqprohg aspoei toeaprt a']
widths = [20,30,30]
print line_by_line(texts, widths)
cProfile.run('''for i in xrange(10000):
wrap_text(txt)''',
'word_wrap.profile')
print 'Done'
'''
Created on 2016-01-14
@author: Allis Tauri <*****@*****.**>
'''
import cProfile
from BioUtils.Tools.Text import wrap_text, line_by_line
if __name__ == '__main__':
txt = '''If true, TextWrapper attempts to detect sentence endings and ensure
that sentences are always separated by exactly two spaces. This is generally
desired for text in a monospaced font. However, the sentence detection
algorithm is imperfect: it assumes that a sentence ending consists of a
lowercase letter followed by one of '.', '!', or '?', possibly followed by
one of '"' or "'", followed by a space. One problem with this is algorithm
is that it is unable to detect the difference between “Dr.” in'''
print wrap_text(txt)
print '=' * 80
texts = [
'asdfasd sreydstnsr mywyy eratg AG RADFG SDFGA lkjoiuguivuasdfhpwoiefjahgaiohghouygmuimjiuh',
'qasf; a[r uq[ewjrfasdhfuiah [WERJ AOSF BA;We werqt',
'wreyqeuqy a poiertqprohg aspoei toeaprt a'
]
widths = [20, 30, 30]
print line_by_line(texts, widths)
cProfile.run('''for i in xrange(10000):
wrap_text(txt)''', 'word_wrap.profile')
print 'Done'
