def main():
f = open("./resources/appheader.md", "r")
st.markdown(f.read())
f.close()
prompt = st.text_area("Input the original text")
transcript = st.text_area("Input the transcript from the audio")
duration = st.text_input("Input the duration of the recording in seconds")
logger.disable("litreading")
if st.button("Grade"):
if prompt == "" or transcript == "" or duration == "":
st.error("Please fill all fields before grading")
else:
df = pd.DataFrame(
{
PROMPT_TEXT_COL: [prompt],
ASR_TRANSCRIPT_COL: [transcript],
DURATION_COL: [float(duration)],
}
)
grade = grade_wcpm(df, model_type="test", baseline_mode=False)
st.write(f"Your wcpm is {grade[0]}")
def setup_logger(level: Union[str, int] = "DEBUG", ignored: List[str] = ""):
logging.basicConfig(handlers=[InterceptHandler()],
level=logging.getLevelName(level))
for ignore in ignored:
logger.disable(ignore)
logger.info('\u001b[1;94m Logger is successfully configured\u001b[0m')
def setup_logger(level: Union[str, int] = 'DEBUG',
ignored: List[str] = '') -> NoReturn:
logging.basicConfig(handlers=[InterceptHandler()],
level=logging.getLevelName(level))
for ignore in ignored:
logger.disable(ignore)
logging.info('Logging is successfully configured')
def main():
"""
main: the main method, which parses the args from command line and runs the program as requested
"""
args = run_parser()
if args.quiet:
logger.disable(__name__)
def run(
app: str = typer.Option(default="Spotify", help="Application to track"),
debug: bool = typer.Option(default=False,
is_flag=True,
help="To show debug messages or not"),
traditional: bool = typer.Option(
default=False,
is_flag=True,
help="Translate lyrics into Traditional Chinese if possible",
),
): # pragma: no cover
{True: logger.enable, False: logger.disable}[debug]("touchbar_lyric")
if not debug:
logger.disable("touchbar_lyric")
logger.disable("__main__")
media_info = get_info(app)
if media_info is None:
return
songs = universal_search(media_info.name, media_info.artists)
for song in songs:
if song.anchor(media_info.position):
line: str = song.anchor(media_info.position)
if traditional:
line = HanziConv.toTraditional(line)
print(line)
break
def main():
logger.remove()
logger.add(stdout, format='{level} | [{time:HH:mm:ss}] {name} -- {message}.',
level='INFO', filter=lambda record: record['extra']['indent'] == 1)
logger.add(stdout, format=' {level} | [{time:HH:mm:ss}] {name} -- {message}.',
level='INFO', filter=lambda record: record['extra']['indent'] == 2)
main_logger = logger.bind(indent=1)
args = get_argument_parser().parse_args()
if not args.verbose:
main_logger.info('Verbose if off. Not logging messages')
logger.disable('__main__')
logger.disable('processes')
main_logger.info(datetime.now().strftime('%Y-%m-%d %H:%M'))
main_logger.info('Loading settings')
settings = load_settings_file(args.config_file)
settings_dataset = settings['dataset_creation_settings']
settings_files_io = settings['dirs_and_files']
main_logger.info('Settings loaded')
main_logger.info('Starting Clotho dataset creation')
create_dataset(
settings_dataset=settings_dataset,
settings_dirs_and_files=settings_files_io)
main_logger.info('Dataset created')
def db(
ctx: click.Context,
config: Path,
verbose: int,
) -> None:
"""DB migration tool for asynpg.
"""
if verbose == 0:
logger.disable('asyncpg-migrate')
else:
logger.enable('asyncpg-migrate')
verbosity = {
1: 'INFO',
2: 'DEBUG',
3: 'TRACE',
}
logger.add(
sys.stderr,
format='{time} {message}',
filter='asyncpg-migrate',
level=verbosity.get(verbose, 'TRACE'),
)
logger.debug(
'Flags are config={config}, verbose={verbose}',
config=config,
verbose=verbose,
)
ctx.ensure_object(dict)
ctx.obj['configuration_file_path'] = config
def app():
logger.disable("")
load_dotenv(find_dotenv())
if os.getenv("ENV") != "test":
raise RuntimeError("Set environment variable to env")
app_object = flask_app.test_client()
yield app_object
def main(argv=None):
"""Database main function
"""
args = parse_cmd_arguments(argv)
if args.disable_log:
logger.disable("__main__")
logger.disable("src.database_operations")
if args.all_products:
pprint(db.list_all_products())
elif args.available_products:
pprint(db.show_available_products())
elif args.all_customers:
pprint(db.list_all_customers())
elif args.drop_collections:
db.drop_collections()
elif args.drop_database:
db.drop_database()
elif args.rentals_for_customer:
pprint(db.rentals_for_customer(args.rentals_for_customer))
elif args.customers_renting_product:
pprint(db.show_rentals(args.customers_renting_product))
elif args.insert:
pprint(db.import_data(*args.insert))
def main():
# Treat the logging.
logger.remove()
logger.add(stdout,
format='{level} | [{time:HH:mm:ss}] {name} -- {message}.',
level='INFO',
filter=lambda record: record['extra']['indent'] == 1)
logger.add(stdout,
format=' {level} | [{time:HH:mm:ss}] {name} -- {message}.',
level='INFO',
filter=lambda record: record['extra']['indent'] == 2)
main_logger = logger.bind(indent=1)
args = get_argument_parser().parse_args()
main_logger.info('Doing only dataset creation')
# Check for verbosity.
if not args.verbose:
main_logger.info('Verbose if off. Not logging messages')
logger.disable('__main__')
logger.disable('processes')
main_logger.info(datetime.now().strftime('%Y-%m-%d %H:%M'))
# Load settings file.
main_logger.info('Loading settings')
settings = load_settings_file(args.config_file_dataset)
main_logger.info('Settings loaded')
# Create the dataset.
main_logger.info('Starting Clotho dataset creation')
create_dataset(settings)
main_logger.info('Dataset created')
def serve():
import argparse
import Pyro5
from loguru import logger
from pymmcore_plus.remote._serialize import register_serializers
from pymmcore_plus.remote.server import pyroCMMCore
parser = argparse.ArgumentParser()
parser.add_argument("-p",
"--port",
type=int,
default=DEFAULT_PORT,
help="port")
parser.add_argument("--host", default=DEFAULT_HOST)
parser.add_argument("--verbose", action="store_true", default=VERBOSE)
args = parser.parse_args()
if not args.verbose:
logger.disable("pymmcore_plus")
register_serializers()
Pyro5.api.serve(
{pyroCMMCore: CORE_NAME},
use_ns=False,
host=args.host,
port=args.port,
verbose=args.verbose,
)
def transform(self, training_data: pd.DataFrame) -> pd.DataFrame:
"""
Transform training data.
:param training_data: Training data.
:type training_data: pd.DataFrame
:return: Transformed training data.
:rtype: pd.DataFrame
"""
if not self.use_transform:
return training_data
logger.debug(f"Transforming dataset via {self.__class__.__name__}")
training_data = training_data.copy()
if self.output_column not in training_data.columns:
training_data[self.output_column] = None
logger.disable("dialogy")
for i, row in tqdm(training_data.iterrows(), total=len(training_data)):
transcripts = self.make_transform_values(row[self.input_column])
entities = self.get_entities(transcripts)
is_empty_series = isinstance(
row[self.output_column],
pd.Series) and (row[self.output_column].isnull())
is_row_nonetype = row[self.output_column] is None
is_row_nan = pd.isna(row[self.output_column])
if is_empty_series or is_row_nonetype or is_row_nan:
training_data.at[i, self.output_column] = entities
else:
training_data.at[i, self.output_column] = (
row[self.output_column] + entities)
logger.enable("dialogy")
return training_data
def __init__(
self,
default_notification_title="Default Title",
default_notification_message="Default Message",
default_notification_application_name="Python Application (notify.py)",
default_notification_icon=None,
default_notification_audio=None,
enable_logging=False,
**kwargs,
):
"""Main Notify Class.
Optional Arugments:
override_detected_notification_system: Optional Kwarg that allows for the use of overrding the detected notifier.
disable_logging: Optional Kwarg that will disable stdout logging from this library.
custom_mac_notificator: Optional Kwarg for a custom mac notifier. (Probably because you want to change the icon.). This is a direct path to the parent directory (.app).
"""
if not enable_logging:
logger.disable("notifypy")
else:
logger.info("Logging is enabled.")
if kwargs.get("override_detected_notification_system"):
"""
This optional kwarg allows for the use of overriding the detected notifier.
Use at your own risk
"""
selected_override = kwargs.get("override_detected_notification_system")
if issubclass(selected_override, BaseNotifier):
self._notifier_detect = selected_override
else:
raise ValueError("Overrided Notifier must inherit from BaseNotifier.")
else:
self._notifier_detect = self._selected_notification_system()
# Initialize.
self._notifier = self._notifier_detect(**kwargs)
# Set the defaults.
self._notification_title = default_notification_title
self._notification_message = default_notification_message
self._notification_application_name = default_notification_application_name
# These defaults require verification
if default_notification_icon:
self._notification_icon = self._verify_icon_path(default_notification_icon)
else:
self._notification_icon = str(
os.path.join(os.path.dirname(__file__), "py-logo.png")
)
if default_notification_audio:
self._notification_audio = self._verify_audio_path(
default_notification_audio
)
else:
self._notification_audio = None
def init_logging(verbosity: int):
logger.stop()
logger.add(sys.stderr,
format=LOGURU_FORMAT,
level=VERBOSITY_LEVELS.get(verbosity, 'TRACE'),
backtrace=False)
logging.basicConfig(level=logging.NOTSET, handlers=[InterceptHandler()])
logger.disable('aiosqlite.core')
def run_func(*args, **kwargs):
if not self.enable_log:
logger.disable(__name__)
print(f"Logging Disabled for Function: {func.__name__}")
result = func(*args)
logger.enable(__name__)
return result
def set_logger(is_enable):
if is_enable:
logger.enable(MODULE_NAME)
else:
logger.disable(MODULE_NAME)
simplesqlite.set_logger(is_enable)
subprocrunner.set_logger(is_enable)
def test_log_before_disable(writer):
logger.add(writer, format="{message}")
logger.enable("")
logger.debug("yes")
logger.disable("tests")
logger.debug("nope")
result = writer.read()
assert result == "yes\n"
def setup():
logger.add(sys.stderr,
format="{time} {level} {message}",
filter="my_module",
level="INFO")
logger.add(base_cfg.LOGS_BASE_PATH + "/file_{time}.log")
logger.disable("sqlalchemy.engine.base")
logging.basicConfig(handlers=[InterceptHandler()], level=logging.INFO)
def memory_db():
from mycartable.database import init_database
logger.disable("")
db = init_database(Database())
add_database_to_types(db)
logger.enable("")
return db
def test_log_before_disable_f_globals_name_absent(writer,
f_globals_name_absent):
logger.add(writer, format="{message}")
logger.enable(None)
logger.debug("yes")
logger.disable(None)
logger.debug("nope")
result = writer.read()
assert result == "yes\n"
def run(args):
hosts = args.node or ["localhost"] * 3
if not args.verbose:
LOG.remove()
LOG.add(
sys.stdout,
format="<green>[{time:YYYY-MM-DD HH:mm:ss.SSS}]</green> {message}",
)
LOG.disable("infra")
LOG.info("Starting {} CCF nodes...".format(len(hosts)))
if args.enclave_type == "virtual":
LOG.warning("Virtual mode enabled")
with infra.ccf.network(hosts=hosts,
binary_directory=args.binary_dir,
dbg_nodes=args.debug_nodes) as network:
if args.recover:
args.label = args.label + "_recover"
LOG.info("Recovering network from:")
LOG.info(f" - Ledger: {args.ledger_dir}")
LOG.info(
f" - Defunct network public encryption key: {args.network_enc_pubk}"
)
LOG.info(f" - Common directory: {args.common_dir}")
network.start_in_recovery(args, args.ledger_dir, args.common_dir)
network.recover(args, args.network_enc_pubk)
else:
network.start_and_join(args)
primary, backups = network.find_nodes()
LOG.info("Started CCF network with the following nodes:")
LOG.info(" Node [{:2d}] = {}:{}".format(primary.node_id,
primary.pubhost,
primary.rpc_port))
for b in backups:
LOG.info(" Node [{:2d}] = {}:{}".format(b.node_id, b.pubhost,
b.rpc_port))
LOG.info(
"You can now issue business transactions to the {} application.".
format(args.package))
LOG.info(
"See https://microsoft.github.io/CCF/users/issue_commands.html for more information."
)
LOG.warning("Press Ctrl+C to shutdown the network.")
try:
while True:
time.sleep(60)
except KeyboardInterrupt:
LOG.info("Stopping all CCF nodes...")
LOG.info("All CCF nodes stopped.")
def test_disable(writer, name, should_log):
logger.add(writer, format="{message}")
logger.disable(name)
logger.debug("message")
result = writer.read()
if should_log:
assert result == "message\n"
else:
assert result == ""
def disable_loguru(logger: Optional[object] = None) -> object:
"""Disable loguru logger or create and disable."""
if isinstance(logger, logging.Logger):
return disable_std_logging(logger)
filterwarnings("ignore")
if logger is None:
from loguru import logger
logger.disable("bllb")
logger.remove()
return logger
def setup(lgp: Path, ignore: List[str] = None):
logger.add(sys.stderr,
format="{time} {level} {message}",
filter="my_module",
level="INFO")
logger.add(lgp / "file_{time}.log")
logging.basicConfig(handlers=[InterceptHandler()], level=logging.INFO)
for i in ignore:
logger.disable(i)
logger.disable("sqlalchemy.engine.base")
def set_logger(is_enable, propagation_depth=1):
if is_enable:
logger.enable(MODULE_NAME)
else:
logger.disable(MODULE_NAME)
if propagation_depth <= 0:
return
dataproperty.set_logger(is_enable, propagation_depth - 1)
def set_logger(is_enable: bool, propagation_depth: int = 1) -> None:
if is_enable:
logger.enable(MODULE_NAME)
else:
logger.disable(MODULE_NAME)
if propagation_depth <= 0:
return
subprocrunner.set_logger(is_enable, propagation_depth - 1)
def test_f_globals_name_absent_with_others(writer, f_globals_name_absent):
logger.add(writer, format="{message}")
logger.info("1")
logger.enable(None)
logger.disable("foobar")
logger.enable("foo.bar")
logger.disable(None)
logger.info("2")
logger.enable("foobar")
logger.enable(None)
logger.info("3")
assert writer.read() == "1\n3\n"
def set_params(self, **parameters):
# before sklearn interface, super call was in init:
# create a Tree (creates root Node, etc)
super(ArborealTree, self).__init__()
for parameter, value in parameters.items():
setattr(self, parameter, value)
if self.disable_logging_parallel:
logger.debug("Disabling logging in core")
logger.disable("core")
return self
def caplog(caplog: _logging.LogCaptureFixture) -> _logging.LogCaptureFixture:
class LoguruHandler(logging.Handler):
def emit(self, record: logging.LogRecord) -> None:
logging.getLogger(record.name).handle(record)
logger.enable('axion')
handler_id = logger.add(
LoguruHandler(),
format='{message}',
)
yield caplog
logger.remove(handler_id)
logger.disable('axion')
def setup_logging(loglevel='info', stream_sink=sys.stdout):
from . import runtime_state
if runtime_state.proc_rank != 0:
logger.disable('veros')
return
kwargs = {}
if sys.stdout.isatty():
kwargs.update(
colorize=True
)
else:
kwargs.update(
colorize=False
)
logger.level('TRACE', color='<dim>')
logger.level('DEBUG', color='<dim><cyan>')
logger.level('INFO', color='')
logger.level('WARNING', color='<yellow>')
logger.level('ERROR', color='<bold><red>')
logger.level('CRITICAL', color='<bold><red><WHITE>')
logger.level('SUCCESS', color='<dim><green>')
config = {
'handlers': [
dict(
sink=stream_sink,
level=loglevel.upper(),
format='<level>{message}</level>',
**kwargs
)
]
}
def showwarning(message, cls, source, lineno, *args):
logger.warning(
'{warning}: {message} ({source}:{lineno})',
message=message,
warning=cls.__name__,
source=source,
lineno=lineno
)
warnings.showwarning = showwarning
logger.enable('veros')
return logger.configure(**config)
