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CLN: address FIXMEs in liboffsets #34566

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Jun 4, 2020
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8 changes: 4 additions & 4 deletions pandas/_libs/tslibs/offsets.pxd
Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@ cdef bint is_offset_object(object obj)
cdef bint is_tick_object(object obj)

cdef class BaseOffset:
cdef readonly:
int64_t n
bint normalize
dict _cache
cdef readonly:
int64_t n
bint normalize
dict _cache
17 changes: 3 additions & 14 deletions pandas/_libs/tslibs/offsets.pyx
Original file line number Diff line number Diff line change
Expand Up @@ -1292,11 +1292,7 @@ cdef class BusinessDay(BusinessMixin):
self._offset = state.pop("_offset")
elif "offset" in state:
self._offset = state.pop("offset")

@property
def _params(self):
# FIXME: using cache_readonly breaks a pytables test
return BaseOffset._params.func(self)
self._cache = state.pop("_cache", {})

def _offset_str(self) -> str:
def get_str(td):
Expand Down Expand Up @@ -1383,8 +1379,6 @@ cdef class BusinessDay(BusinessMixin):
if self.n > 0:
shifted = (dtindex.to_perioddelta("B") - time).asi8 != 0

# Integer-array addition is deprecated, so we use
# _time_shift directly
roll = np.where(shifted, self.n - 1, self.n)
shifted = asper._addsub_int_array(roll, operator.add)
else:
Expand Down Expand Up @@ -2465,12 +2459,7 @@ cdef class Week(SingleConstructorOffset):
self.n = state.pop("n")
self.normalize = state.pop("normalize")
self.weekday = state.pop("weekday")

@property
def _params(self):
# TODO: making this into a property shouldn't be necessary, but otherwise
# we unpickle legacy objects incorrectly
return BaseOffset._params.func(self)
self._cache = state.pop("_cache", {})

def is_anchored(self) -> bool:
return self.n == 1 and self.weekday is not None
Expand Down Expand Up @@ -2520,7 +2509,7 @@ cdef class Week(SingleConstructorOffset):
from .frequencies import get_freq_code # TODO: avoid circular import

i8other = dtindex.asi8
off = (i8other % DAY_NANOS).view("timedelta64")
off = (i8other % DAY_NANOS).view("timedelta64[ns]")

base, mult = get_freq_code(self.freqstr)
base_period = dtindex.to_period(base)
Expand Down