def wrapper(self, other):
if _is_convertible_to_td(other) or other is NaT:
try:
other = Timedelta(other)
except ValueError:
# failed to parse as timedelta
return ops.invalid_comparison(self, other, op)
result = op(self.view('i8'), other.value)
if isna(other):
result.fill(nat_result)
elif not is_list_like(other):
return ops.invalid_comparison(self, other, op)
elif len(other) != len(self):
raise ValueError("Lengths must match")
else:
try:
other = type(self)._from_sequence(other)._data
except (ValueError, TypeError):
return ops.invalid_comparison(self, other, op)
result = op(self.view('i8'), other.view('i8'))
result = com.values_from_object(result)
o_mask = np.array(isna(other))
if o_mask.any():
result[o_mask] = nat_result
if self._hasnans:
result[self._isnan] = nat_result
return result
def wrapper(self, other):
if isinstance(other, str):
try:
other = self._scalar_from_string(other)
except ValueError:
# failed to parse as timedelta
return invalid_comparison(self, other, op)
if _is_convertible_to_td(other) or other is NaT:
other = Timedelta(other)
result = op(self.view("i8"), other.value)
if isna(other):
result.fill(nat_result)
elif not is_list_like(other):
return invalid_comparison(self, other, op)
elif len(other) != len(self):
raise ValueError("Lengths must match")
else:
if isinstance(other, list):
other = np.array(other)
if not isinstance(other, (np.ndarray, cls)):
return invalid_comparison(self, other, op)
if is_object_dtype(other):
with np.errstate(all="ignore"):
result = ops.comp_method_OBJECT_ARRAY(
op, self.astype(object), other)
o_mask = isna(other)
elif not is_timedelta64_dtype(other):
# e.g. other is datetimearray
return invalid_comparison(self, other, op)
else:
other = type(self)._from_sequence(other)
result = op(self.view("i8"), other.view("i8"))
o_mask = other._isnan
if o_mask.any():
result[o_mask] = nat_result
if self._hasnans:
result[self._isnan] = nat_result
return result
def wrapper(self, other):
other = lib.item_from_zerodim(other)
if isinstance(other, (ABCDataFrame, ABCSeries, ABCIndexClass)):
return NotImplemented
if _is_convertible_to_td(other) or other is NaT:
try:
other = Timedelta(other)
except ValueError:
# failed to parse as timedelta
return invalid_comparison(self, other, op)
result = op(self.view("i8"), other.value)
if isna(other):
result.fill(nat_result)
elif not is_list_like(other):
return invalid_comparison(self, other, op)
elif len(other) != len(self):
raise ValueError("Lengths must match")
else:
try:
other = type(self)._from_sequence(other)._data
except (ValueError, TypeError):
return invalid_comparison(self, other, op)
result = op(self.view("i8"), other.view("i8"))
result = com.values_from_object(result)
o_mask = np.array(isna(other))
if o_mask.any():
result[o_mask] = nat_result
if self._hasnans:
result[self._isnan] = nat_result
return result
def wrapper(self, other):
other = lib.item_from_zerodim(other)
if isinstance(other, (ABCDataFrame, ABCSeries, ABCIndexClass)):
return NotImplemented
if _is_convertible_to_td(other) or other is NaT:
try:
other = Timedelta(other)
except ValueError:
# failed to parse as timedelta
return ops.invalid_comparison(self, other, op)
result = op(self.view('i8'), other.value)
if isna(other):
result.fill(nat_result)
elif not is_list_like(other):
return ops.invalid_comparison(self, other, op)
elif len(other) != len(self):
raise ValueError("Lengths must match")
else:
try:
other = type(self)._from_sequence(other)._data
except (ValueError, TypeError):
return ops.invalid_comparison(self, other, op)
result = op(self.view('i8'), other.view('i8'))
result = com.values_from_object(result)
o_mask = np.array(isna(other))
if o_mask.any():
result[o_mask] = nat_result
if self._hasnans:
result[self._isnan] = nat_result
return result
