def _spark(cls, column, **kwargs):
parse_strings_as_datetimes: bool = (
kwargs.get("parse_strings_as_datetimes") or False)
if parse_strings_as_datetimes:
warnings.warn(
"""The parameter "parse_strings_as_datetimes" is no longer supported and will be deprecated in a \
future release. Please update code accordingly.
""",
DeprecationWarning,
)
try:
column = apply_dateutil_parse(column=column)
except TypeError:
pass
return F.min(column)
def _spark(cls, column, **kwargs):
parse_strings_as_datetimes: bool = (
kwargs.get("parse_strings_as_datetimes") or False)
if parse_strings_as_datetimes:
# deprecated-v0.13.41
warnings.warn(
"""The parameter "parse_strings_as_datetimes" is deprecated as of v0.13.41 in \
v0.16. As part of the V3 API transition, we've moved away from input transformation. For more information, \
please see: https://greatexpectations.io/blog/why_we_dont_do_transformations_for_expectations/
""",
DeprecationWarning,
)
try:
column = apply_dateutil_parse(column=column)
except TypeError:
pass
return F.min(column)
def _spark(cls, column, **kwargs: dict): # type: ignore[no-untyped-def]
return F.min(F.length(column))
def _spark(cls, column, **kwargs):
return F.min(column)