Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'humanize' 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.
allowed_max_job_name_length=allowed_max_job_name_length,
state=(job.get("state") or "unknown"),
start_time=f"{str(start_time)} ({humanize.naturaltime(start_time)})",
dashboard_url=PaastaColors.grey(f"{dashboard_url}/#/jobs/{job_id}"),
)
)
if verbose and job_id in status.exceptions:
exceptions = status.exceptions[job_id]
root_exception = exceptions["root-exception"]
if root_exception is not None:
output.append(f" Exception: {root_exception}")
ts = exceptions["timestamp"]
if ts is not None:
exc_ts = datetime.fromtimestamp(int(ts) // 1000)
output.append(
f" {str(exc_ts)} ({humanize.naturaltime(exc_ts)})"
)
if verbose and len(status.pod_status) > 0:
output.append(f" Pods:")
rows: List[Union[str, Tuple[str, str, str]]] = [("Pod Name", "Host", "Phase")]
for pod in status.pod_status:
rows.append((pod["name"], pod["host"], pod["phase"]))
if pod["reason"] != "":
rows.append(PaastaColors.grey(f" {pod['reason']}: {pod['message']}"))
pods_table = format_table(rows)
output.extend([f" {line}" for line in pods_table])
return 0
start_time=f"{str(start_time)} ({humanize.naturaltime(start_time)})",
dashboard_url=PaastaColors.grey(f"{dashboard_url}/#/jobs/{job_id}"),
)
)
if verbose and job_id in status.exceptions:
exceptions = status.exceptions[job_id]
root_exception = exceptions["root-exception"]
if root_exception is not None:
output.append(f" Exception: {root_exception}")
ts = exceptions["timestamp"]
if ts is not None:
exc_ts = datetime_from_utc_to_local(
datetime.utcfromtimestamp(int(ts) // 1000)
)
output.append(
f" {str(exc_ts)} ({humanize.naturaltime(exc_ts)})"
)
return 0
)
for job in unique_jobs:
job_id = job["jid"]
if verbose:
fmt = """ {job_name: <{allowed_max_job_name_length}.{allowed_max_job_name_length}} {state: <11} {job_id} {start_time}
{dashboard_url}"""
else:
fmt = " {job_name: <{allowed_max_job_name_length}.{allowed_max_job_name_length}} {state: <11} {start_time}"
start_time = datetime.fromtimestamp(int(job["start-time"]) // 1000)
output.append(
fmt.format(
job_id=job_id,
job_name=get_flink_job_name(job),
allowed_max_job_name_length=allowed_max_job_name_length,
state=(job.get("state") or "unknown"),
start_time=f"{str(start_time)} ({humanize.naturaltime(start_time)})",
dashboard_url=PaastaColors.grey(f"{dashboard_url}/#/jobs/{job_id}"),
)
)
if verbose and job_id in status.exceptions:
exceptions = status.exceptions[job_id]
root_exception = exceptions["root-exception"]
if root_exception is not None:
output.append(f" Exception: {root_exception}")
ts = exceptions["timestamp"]
if ts is not None:
exc_ts = datetime.fromtimestamp(int(ts) // 1000)
output.append(
f" {str(exc_ts)} ({humanize.naturaltime(exc_ts)})"
)
if verbose and len(status.pod_status) > 0:
output.append(f" Pods:")
def test_naturaldelta_minimum_unit_explicit(minimum_unit, seconds, expected):
# Arrange
delta = dt.timedelta(seconds=seconds)
# Act / Assert
assert humanize.naturaldelta(delta, minimum_unit=minimum_unit) == expected
def nd_nomonths(d):
return humanize.naturaldelta(d, months=False)
def _report(self):
delta = self.end - self.start
timeString = humanize.time.naturaldelta(delta)
print("Finished in {} ({} seconds)".format(timeString, delta))
def _updateDisplay(self):
fileName = self._getFileNameDisplayString()
# TODO contentLength seems to slightly under-report how many bytes
# we have to download... hence the min functions
percentage = min(self.bytesWritten / self.contentLength, 1)
numerator = humanize.filesize.naturalsize(
min(self.bytesWritten, self.contentLength))
denominator = humanize.filesize.naturalsize(
self.contentLength)
displayString = "{} {:<6.2%} ({:>9} / {:<9})\r"
self.stream.write(displayString.format(
fileName, percentage, numerator, denominator))
self.stream.flush()
def test_naturalday(test_args, expected):
assert humanize.naturalday(*test_args) == expected
def test_naturaldate(test_input, expected):
assert humanize.naturaldate(test_input) == expected
def test_use_utc(self, h):
assert humanize.time._now == datetime.utcnow