Research
Security News
Quasar RAT Disguised as an npm Package for Detecting Vulnerabilities in Ethereum Smart Contracts
Socket researchers uncover a malicious npm package posing as a tool for detecting vulnerabilities in Etherium smart contracts.
This modest package contains various common humanization utilities, like turning a number into a fuzzy human-readable duration ("3 minutes ago") or into a human-readable size or throughput. It is localized to:
https://humanize.readthedocs.io
python3 -m pip install --upgrade humanize
git clone https://github.com/python-humanize/humanize
cd humanize
python3 -m pip install -e .
>>> import humanize
>>> humanize.intcomma(12345)
'12,345'
>>> humanize.intword(123455913)
'123.5 million'
>>> humanize.intword(12345591313)
'12.3 billion'
>>> humanize.apnumber(4)
'four'
>>> humanize.apnumber(41)
'41'
>>> import humanize
>>> import datetime as dt
>>> humanize.naturalday(dt.datetime.now())
'today'
>>> humanize.naturaldelta(dt.timedelta(seconds=1001))
'16 minutes'
>>> humanize.naturalday(dt.datetime.now() - dt.timedelta(days=1))
'yesterday'
>>> humanize.naturalday(dt.date(2007, 6, 5))
'Jun 05'
>>> humanize.naturaldate(dt.date(2007, 6, 5))
'Jun 05 2007'
>>> humanize.naturaltime(dt.datetime.now() - dt.timedelta(seconds=1))
'a second ago'
>>> humanize.naturaltime(dt.datetime.now() - dt.timedelta(seconds=3600))
'an hour ago'
>>> import humanize
>>> import datetime as dt
>>> delta = dt.timedelta(seconds=3633, days=2, microseconds=123000)
>>> humanize.precisedelta(delta)
'2 days, 1 hour and 33.12 seconds'
>>> humanize.precisedelta(delta, minimum_unit="microseconds")
'2 days, 1 hour, 33 seconds and 123 milliseconds'
>>> humanize.precisedelta(delta, suppress=["days"], format="%0.4f")
'49 hours and 33.1230 seconds'
If seconds are too large, set minimum_unit
to milliseconds or microseconds:
>>> import humanize
>>> import datetime as dt
>>> humanize.naturaldelta(dt.timedelta(seconds=2))
'2 seconds'
>>> delta = dt.timedelta(milliseconds=4)
>>> humanize.naturaldelta(delta)
'a moment'
>>> humanize.naturaldelta(delta, minimum_unit="milliseconds")
'4 milliseconds'
>>> humanize.naturaldelta(delta, minimum_unit="microseconds")
'4 milliseconds'
>>> humanize.naturaltime(delta)
'now'
>>> humanize.naturaltime(delta, minimum_unit="milliseconds")
'4 milliseconds ago'
>>> humanize.naturaltime(delta, minimum_unit="microseconds")
'4 milliseconds ago'
>>> import humanize
>>> humanize.naturalsize(1_000_000)
'1.0 MB'
>>> humanize.naturalsize(1_000_000, binary=True)
'976.6 KiB'
>>> humanize.naturalsize(1_000_000, gnu=True)
'976.6K'
>>> import humanize
>>> humanize.fractional(1/3)
'1/3'
>>> humanize.fractional(1.5)
'1 1/2'
>>> humanize.fractional(0.3)
'3/10'
>>> humanize.fractional(0.333)
'333/1000'
>>> humanize.fractional(1)
'1'
>>> import humanize
>>> humanize.scientific(0.3)
'3.00 x 10⁻¹'
>>> humanize.scientific(500)
'5.00 x 10²'
>>> humanize.scientific("20000")
'2.00 x 10⁴'
>>> humanize.scientific(1**10)
'1.00 x 10⁰'
>>> humanize.scientific(1**10, precision=1)
'1.0 x 10⁰'
>>> humanize.scientific(1**10, precision=0)
'1 x 10⁰'
How to change locale at runtime:
>>> import humanize
>>> import datetime as dt
>>> humanize.naturaltime(dt.timedelta(seconds=3))
'3 seconds ago'
>>> _t = humanize.i18n.activate("ru_RU")
>>> humanize.naturaltime(dt.timedelta(seconds=3))
'3 секунды назад'
>>> humanize.i18n.deactivate()
>>> humanize.naturaltime(dt.timedelta(seconds=3))
'3 seconds ago'
You can pass additional parameter path
to activate
to specify a path to search
locales in.
>>> import humanize
>>> humanize.i18n.activate("xx_XX")
<...>
FileNotFoundError: [Errno 2] No translation file found for domain: 'humanize'
>>> humanize.i18n.activate("pt_BR", path="path/to/my/own/translation/")
<gettext.GNUTranslations instance ...>
How to add new phrases to existing locale files:
xgettext --from-code=UTF-8 -o humanize.pot -k'_' -k'N_' -k'P_:1c,2' -k'NS_:1,2' -k'_ngettext:1,2' -l python src/humanize/*.py # extract new phrases
msgmerge -U src/humanize/locale/ru_RU/LC_MESSAGES/humanize.po humanize.pot # add them to locale files
How to add a new locale:
msginit -i humanize.pot -o humanize/locale/<locale name>/LC_MESSAGES/humanize.po --locale <locale name>
Where <locale name>
is a locale abbreviation, eg. en_GB
, pt_BR
or just ru
, fr
etc.
List the language at the top of this README.
FAQs
Python humanize utilities
We found that humanize demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket researchers uncover a malicious npm package posing as a tool for detecting vulnerabilities in Etherium smart contracts.
Security News
Research
A supply chain attack on Rspack's npm packages injected cryptomining malware, potentially impacting thousands of developers.
Research
Security News
Socket researchers discovered a malware campaign on npm delivering the Skuld infostealer via typosquatted packages, exposing sensitive data.