Datasets:
thisisanshgupta
/
Pycode

Dataset card Data Studio Files
xet
Community
text
stringlengths
0
828
4583,"def to_unicode(obj, encoding='utf-8'):
""""""Convert obj to unicode (if it can be be converted)
from http://farmdev.com/talks/unicode/""""""
if isinstance(obj, basestring):
if not isinstance(obj, unicode):
obj = unicode(obj, encoding)
return obj"
4584,"def besttype(x, encoding=""utf-8"", percentify=True):
""""""Convert string x to the most useful type, i.e. int, float or unicode string.
If x is a quoted string (single or double quotes) then the quotes are
stripped and the enclosed string returned. The string can contain any
number of quotes, it is only important that it begins and ends with either
single or double quotes.
*percentify* = ``True`` turns ""34.4%"" into the float 0.344.
.. Note::
Strings will be returned as Unicode strings (using
:func:`unicode`), based on the *encoding* argument, which is
utf-8 by default.
""""""
def unicodify(x):
return to_unicode(x, encoding)
def percent(x):
try:
if x.endswith(""%""):
x = float(x[:-1]) / 100.
else:
raise ValueError
except (AttributeError, ValueError):
raise ValueError
return x
x = unicodify(x) # make unicode as soon as possible
try:
x = x.strip()
except AttributeError:
pass
m = re.match(r""""""(?P<quote>['""])(?P<value>.*)(?P=quote)$"""""", x) # matches ""<value>"" or '<value>' where <value> COULD contain "" or '!
if m is None:
# not a quoted string, try different types
for converter in int, float, percent, unicodify: # try them in increasing order of lenience
try:
return converter(x)
except ValueError:
pass
else:
# quoted string
x = unicodify(m.group('value'))
return x"
4585,"def _onsuccess(cls, kmsg, result):
"""""" To execute on execution success
:param kser.schemas.Message kmsg: Kafka message
:param kser.result.Result result: Execution result
:return: Execution result
:rtype: kser.result.Result
""""""
logger.info(
""{}.Success: {}[{}]: {}"".format(
cls.__name__, kmsg.entrypoint, kmsg.uuid, result
),
extra=dict(
kmsg=kmsg.dump(),
kresult=ResultSchema().dump(result) if result else dict()
)
)
return cls.onsuccess(kmsg, result)"
4586,"def _onerror(cls, kmsg, result):
"""""" To execute on execution failure
:param kser.schemas.Message kmsg: Kafka message
:param kser.result.Result result: Execution result
:return: Execution result
:rtype: kser.result.Result
""""""
logger.error(
""{}.Failed: {}[{}]: {}"".format(
cls.__name__, kmsg.entrypoint, kmsg.uuid, result
),
extra=dict(
kmsg=kmsg.dump(),
kresult=ResultSchema().dump(result) if result else dict()
)
)
return cls.onerror(kmsg, result)"
4587,"def _onmessage(cls, kmsg):
"""""" Call on received message
:param kser.schemas.Message kmsg: Kafka message
:return: Kafka message
:rtype: kser.schemas.Message
""""""
logger.debug(
""{}.ReceivedMessage {}[{}]"".format(
cls.__name__, kmsg.entrypoint, kmsg.uuid