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if sys.platform.startswith('darwin'):
subprocess.Popen(('open', filepath))
elif os.name == 'nt':
os.startfile(filepath)
elif os.name == 'posix':
subprocess.Popen(('xdg-open', filepath))"
1454,"def destination_heuristic(data):
""""""
A heuristic to get the folder with all other files from bib, using majority
vote.
""""""
counter = collections.Counter()
for entry in data:
file_field = entry['fields'].get('file')
if not file_field:
continue
path = os.path.dirname(file_field)
counter[path] += 1
if not counter: # No paths found
raise click.ClickException(
'Path finding heuristics failed: no paths in the database'
)
# Find the paths that appears most often
sorted_paths = sorted(counter, reverse=True)
groupby = itertools.groupby(sorted_paths, key=len)
_, group = next(groupby)
# We know that there's at least one candidate. Make sure it's
# the only one
candidate = next(group)
try:
next(group)
except StopIteration:
return candidate
else:
raise click.ClickException(
'Path finding heuristics failed: '
'there are multiple equally valid paths in the database'
)"
1455,"def remove_entry(data, entry):
'''
Remove an entry in place.
'''
file_field = entry['fields'].get('file')
if file_field:
try:
os.remove(file_field)
except IOError:
click.echo('This entry\'s file was missing')
data.remove(entry)"
1456,"def string_to_basename(s):
'''
Converts to lowercase, removes non-alpha characters,
and converts spaces to hyphens.
'''
s = s.strip().lower()
s = re.sub(r'[^\w\s-]', '', s)
return re.sub(r'[\s-]+', '-', s)"
1457,"def editor(*args, **kwargs):
'''
Wrapper for `click.edit` that raises an error when None is returned.
'''
result = click.edit(*args, **kwargs)
if result is None:
msg = 'Editor exited without saving, command aborted'
raise click.ClickException(msg)
return result"
1458,"def terms(self, facet_name, field, size=10, order=None, all_terms=False, exclude=[], regex='', regex_flags=''):
'''
Allow to specify field facets that return the N most frequent terms.
Ordering: Allow to control the ordering of the terms facets, to be ordered by count, term, reverse_count or reverse_term. The default is count.
All Terms: Allow to get all the terms in the terms facet, ones that do not match a hit, will have a count of 0. Note, this should not be used with fields that have many terms.
Excluding Terms: It is possible to specify a set of terms that should be excluded from the terms facet request result.
Regex Patterns: The terms API allows to define regex expression that will control which terms will be included in the faceted list.
'''
self[facet_name] = dict(terms=dict(field=field, size=size))
if order:
self[facet_name][terms]['order'] = order
if all_terms:
self[facet_name][terms]['all_terms'] = True
if exclude:
self[facet_name][terms]['exclude'] = exclude
if regex:
self[facet_name][terms]['regex'] = regex
if regex_flags:
self[facet_name][terms]['regex_flags'] = regex_flags
return self"
1459,"def range(self, facet_name, field, ranges=[]):
'''
Range facet allow to specify a set of ranges and get both the number of docs (count) that fall within each range, and aggregated data either based on the field, or using another field.
http://www.elasticsearch.org/guide/reference/api/search/facets/range-facet.html
> ElasticFacet().range('range1', 'field_name', [ slice(50), slice(20,70), slice(50,-1) ])
{