Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'colorlog' in functional components in Python. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.
def setUp(self):
formatter = colorlog.ColoredFormatter(self.logformat)
stream = logging.StreamHandler()
stream.setLevel(logging.DEBUG)
stream.setFormatter(formatter)
self.logger = logging.getLogger('colorlog')
self.logger.setLevel(logging.DEBUG)
self.logger.addHandler(stream)
def _configure_logger(logger_name, stream_format, file_format, logfile, level, log_colors):
logger = logging.getLogger(logger_name)
logger.setLevel(level)
# Clear any existing handlers
logger.handlers = []
if file_format and logfile:
file_handler = logging.FileHandler(logfile, mode='a', encoding='utf-8')
file_handler.setFormatter(logging.Formatter(file_format))
logger.addHandler(file_handler)
if stream_format:
formatter = colorlog.TTYColoredFormatter(stream=sys.stdout, fmt=stream_format, log_colors=log_colors)
stream_handler = logging.StreamHandler(stream=sys.stdout)
stream_handler.setFormatter(formatter)
logger.addHandler(stream_handler)
logger.setLevel(loglevel)
if 'LogFile' in config and config['LogFile'] != '__screen__':
logfile = config['LogFile']
if not os.path.isdir(os.path.dirname(logfile)):
warnings.warn("Logging directory {0} does not exist".format(
os.path.abspath(os.path.dirname(logfile))))
sys.exit(-1)
flog = logging.FileHandler(logfile)
flog.setFormatter(logging.Formatter(
'[%(asctime)s, %(levelno)d, %(module)s] %(message)s', "%H:%M:%S"))
logger.addHandler(flog)
else:
clog = logging.StreamHandler()
formatter = ColoredFormatter(
"%(log_color)s[%(asctime)s %(levelname)-8s%(module)s]%(reset)s "
"%(white)s%(message)s",
datefmt="%H:%M:%S",
reset=True,
log_colors={
'DEBUG': 'cyan',
'INFO': 'green',
'WARNING': 'yellow',
'ERROR': 'red',
'CRITICAL': 'red',
})
clog.setFormatter(formatter)
clog.setLevel(loglevel)
logger.addHandler(clog)
def entry_point():
"""Zero-argument entry point for use with setuptools/distribute."""
logger = logging.getLogger()
logger.setLevel(logging.INFO)
handler = colorlog.StreamHandler()
fmt = (
'%(asctime)-8s (%(bold)s%(log_color)s%(levelname)s%(reset)s) '
'%(message)s')
formatter = colorlog.ColoredFormatter(fmt, datefmt='%H:%M:%S')
handler.setFormatter(formatter)
logger.addHandler(handler)
keyman = Keyman(sys.argv)
raise SystemExit(keyman.main())
help='VBA expression to be evaluated')
parser.add_option('-l', '--loglevel', dest="loglevel", action="store", default=DEFAULT_LOG_LEVEL,
help="logging level debug/info/warning/error/critical (default=%default)")
(options, args) = parser.parse_args()
# Print help if no arguments are passed
# if len(args) == 0:
# print(__doc__)
# parser.print_help()
# sys.exit()
# setup logging to the console
# logging.basicConfig(level=LOG_LEVELS[options.loglevel], format='%(levelname)-8s %(message)s')
colorlog.basicConfig(level=LOG_LEVELS[options.loglevel], format='%(log_color)s%(levelname)-8s %(message)s')
if options.parse_file:
parse(options.parse_file)
if options.eval_expr:
eval_expression(options.eval_expr)
while True:
try:
print("VBA> ", end='')
cmd = raw_input()
if cmd.startswith('exit'):
break
if cmd.startswith('parse'):
(options, args) = parser.parse_args()
# Print version information and exit?
if (options.print_version):
print_version()
sys.exit(0)
# Print help if no arguments are passed
if len(args) == 0:
safe_print(__doc__)
parser.print_help()
sys.exit(0)
# setup logging to the console
# logging.basicConfig(level=LOG_LEVELS[options.loglevel], format='%(levelname)-8s %(message)s')
colorlog.basicConfig(level=LOG_LEVELS[options.loglevel], format='%(log_color)s%(levelname)-8s %(message)s')
json_results = []
for container, filename, data in xglob.iter_files(args,
recursive=options.recursive,
zip_password=options.zip_password,
zip_fname=options.zip_fname):
# ignore directory names stored in zip files:
if container and filename.endswith('/'):
continue
if options.scan_expressions:
process_file_scanexpr(container, filename, data)
else:
entry_points = None
if (options.entry_points is not None):
def init():
if len(logging.getLogger("").handlers) > 1:
return
shandler = logging.StreamHandler(stream=sys.stdout)
shandler.setFormatter(colorlog.LevelFormatter(
fmt = {
"DEBUG": "{log_color}[{levelname}] {message}",
"INFO": "{log_color}[{levelname}] {message}",
"WARNING": "{log_color}[{levelname}] {message}",
"ERROR": "{log_color}[{levelname}] {message}",
"CRITICAL": "{log_color}[{levelname}] {message}"
},
log_colors = {
"DEBUG": "cyan",
"INFO": "white",
"WARNING": "yellow",
"ERROR": "red",
"CRITICAL": "bold_red"
},
style = "{",
datefmt = ""
def init():
if len(logging.getLogger("").handlers) > 1:
return
shandler = logging.StreamHandler(stream=sys.stdout)
shandler.setFormatter(colorlog.LevelFormatter(
fmt = {
"DEBUG": "{log_color}[{levelname}] {message}",
"INFO": "{log_color}[{levelname}] {message}",
"WARNING": "{log_color}[{levelname}] {message}",
"ERROR": "{log_color}[{levelname}] {message}",
"CRITICAL": "{log_color}[{levelname}] {message}"
},
log_colors = {
"DEBUG": "cyan",
"INFO": "white",
"WARNING": "yellow",
"ERROR": "red",
"CRITICAL": "bold_red"
},
style = "{",
datefmt = ""
response = tokenize(example['labels'][0])
else:
response = tokenize(example['eval_labels'][0])
chosen_topic = tokenize(example['chosen_topic'])
# Set up knowledge
checked_knowledge = example['title'] + ' __knowledge__ ' + example['checked_sentence']
knowledges = [checked_knowledge] + \
[k for k in example['knowledge'].rstrip().split('\n')]
for idx, k in enumerate(knowledges[1:]):
if k == checked_knowledge:
break
else:
# Sometimes, knowledge does not include checked_sentnece
idx = None
colorlog.warning("Knowledge does not include checked sentence.")
if idx is not None:
del knowledges[idx + 1]
# Tokenize knowledge
knowledge_sentences = [tokenize(k) for k in knowledges]
new_example = {'context': context,
'response': response,
'chosen_topic': chosen_topic,
'knowledge_sentences': knowledge_sentences,
'episode_num': episode_num,
'example_num': example_num}
if 'multi_eval_labels' in example:
responses = [tokenize(response) for response in example['multi_eval_labels']]
new_example['responses'] = responses
if 'multi_checked_sentences' in example:
response = tokenize(example['labels'][0])
else:
response = tokenize(example['eval_labels'][0])
chosen_topic = tokenize(example['chosen_topic'])
# Set up knowledge
checked_knowledge = example['title'] + ' __knowledge__ ' + example['checked_sentence']
knowledges = [checked_knowledge] + \
[k for k in example['knowledge'].rstrip().split('\n')]
for idx, k in enumerate(knowledges[1:]):
if k == checked_knowledge:
break
else:
# Sometimes, knowledge does not include checked_sentnece
idx = None
colorlog.warning("Knowledge does not include checked sentence.")
if idx is not None:
del knowledges[idx + 1]
# Tokenize knowledge
knowledge_sentences = [tokenize(k) for k in knowledges]
new_example = {'context': context,
'response': response,
'chosen_topic': chosen_topic,
'knowledge_sentences': knowledge_sentences,
'episode_num': episode_num,
'example_num': example_num}
new_examples.append(new_example)
new_episodes.append(new_examples)
if self._datapath: