for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
from coalib.bears.Bear import Bear
from coalib.bears.BEAR_KIND import BEAR_KIND
class GlobalBear(Bear):
Bear
"""
A GlobalBear is able to analyze semantic facts across several file.
The results of a GlobalBear will be presented grouped by the origin Bear.
Therefore Results spanning above multiple files are allowed and will be
handled right.
If you only look at one file at once anyway a LocalBear is better for your
needs. (And better for performance and usability for both user and
developer.)
def __init__(self,
file_dict, # filename : file contents
section,
message_queue,
timeout=0):
Bear.__init__(self, section, message_queue, timeout)
section
timeout
message_queue
self
self.file_dict = file_dict
file_dict
@staticmethod
staticmethod
def kind():
return BEAR_KIND.GLOBAL
BEAR_KIND
def run(self,
*args,
dependency_results=None,
**kwargs):
Handles all files in file_dict.
:return: A list of Result type.
raise NotImplementedError(
"This function has to be implemented for a runnable bear.")
coala-analyzer /
coala
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