REF: _reso->_creso (#49107)

Author: jbrockmendel

pandas/_libs/index.pyx

@@ -502,7 +502,7 @@ cdef class DatetimeEngine(Int64Engine):
         if scalar is NaT:
             return NaT.value
         elif isinstance(scalar, _Timestamp):
-            if scalar._reso == self.reso:
+            if scalar._creso == self.reso:
                 return scalar.value
             else:
                 # Note: caller is responsible for catching potential ValueError
@@ -570,7 +570,7 @@ cdef class TimedeltaEngine(DatetimeEngine):
         if scalar is NaT:
             return NaT.value
         elif isinstance(scalar, _Timedelta):
-            if scalar._reso == self.reso:
+            if scalar._creso == self.reso:
                 return scalar.value
             else:
                 # Note: caller is responsible for catching potential ValueError

pandas/_libs/tslibs/offsets.pyi

@@ -109,7 +109,7 @@ def to_offset(freq: _BaseOffsetT) -> _BaseOffsetT: ...
 def to_offset(freq: timedelta | str) -> BaseOffset: ...
 
 class Tick(SingleConstructorOffset):
-    _reso: int
+    _creso: int
     _prefix: str
     _td64_unit: str
     def __init__(self, n: int = ..., normalize: bool = ...) -> None: ...

pandas/_libs/tslibs/offsets.pyx

@@ -1146,55 +1146,55 @@ cdef class Day(Tick):
     _prefix = "D"
     _td64_unit = "D"
     _period_dtype_code = PeriodDtypeCode.D
-    _reso = NPY_DATETIMEUNIT.NPY_FR_D
+    _creso = NPY_DATETIMEUNIT.NPY_FR_D
 
 
 cdef class Hour(Tick):
     _nanos_inc = 3600 * 1_000_000_000
     _prefix = "H"
     _td64_unit = "h"
     _period_dtype_code = PeriodDtypeCode.H
-    _reso = NPY_DATETIMEUNIT.NPY_FR_h
+    _creso = NPY_DATETIMEUNIT.NPY_FR_h
 
 
 cdef class Minute(Tick):
     _nanos_inc = 60 * 1_000_000_000
     _prefix = "T"
     _td64_unit = "m"
     _period_dtype_code = PeriodDtypeCode.T
-    _reso = NPY_DATETIMEUNIT.NPY_FR_m
+    _creso = NPY_DATETIMEUNIT.NPY_FR_m
 
 
 cdef class Second(Tick):
     _nanos_inc = 1_000_000_000
     _prefix = "S"
     _td64_unit = "s"
     _period_dtype_code = PeriodDtypeCode.S
-    _reso = NPY_DATETIMEUNIT.NPY_FR_s
+    _creso = NPY_DATETIMEUNIT.NPY_FR_s
 
 
 cdef class Milli(Tick):
     _nanos_inc = 1_000_000
     _prefix = "L"
     _td64_unit = "ms"
     _period_dtype_code = PeriodDtypeCode.L
-    _reso = NPY_DATETIMEUNIT.NPY_FR_ms
+    _creso = NPY_DATETIMEUNIT.NPY_FR_ms
 
 
 cdef class Micro(Tick):
     _nanos_inc = 1000
     _prefix = "U"
     _td64_unit = "us"
     _period_dtype_code = PeriodDtypeCode.U
-    _reso = NPY_DATETIMEUNIT.NPY_FR_us
+    _creso = NPY_DATETIMEUNIT.NPY_FR_us
 
 
 cdef class Nano(Tick):
     _nanos_inc = 1
     _prefix = "N"
     _td64_unit = "ns"
     _period_dtype_code = PeriodDtypeCode.N
-    _reso = NPY_DATETIMEUNIT.NPY_FR_ns
+    _creso = NPY_DATETIMEUNIT.NPY_FR_ns
 
 
 def delta_to_tick(delta: timedelta) -> Tick:
@@ -3394,7 +3394,7 @@ cdef class FY5253Quarter(FY5253Mixin):
             for qlen in qtr_lens:
                 if qlen * 7 <= tdelta.days:
                     num_qtrs += 1
-                    tdelta -= (<_Timedelta>Timedelta(days=qlen * 7))._as_creso(norm._reso)
+                    tdelta -= (<_Timedelta>Timedelta(days=qlen * 7))._as_creso(norm._creso)
                 else:
                     break
         else:

pandas/_libs/tslibs/period.pyx

@@ -1693,7 +1693,7 @@ cdef class _Period(PeriodMixin):
             return NaT
 
         try:
-            inc = delta_to_nanoseconds(other, reso=self.freq._reso, round_ok=False)
+            inc = delta_to_nanoseconds(other, reso=self.freq._creso, round_ok=False)
         except ValueError as err:
             raise IncompatibleFrequency("Input cannot be converted to "
                                         f"Period(freq={self.freqstr})") from err

pandas/_libs/tslibs/timedeltas.pxd

@@ -18,7 +18,7 @@ cdef class _Timedelta(timedelta):
         int64_t value      # nanoseconds
         bint _is_populated  # are my components populated
         int64_t _d, _h, _m, _s, _ms, _us, _ns
-        NPY_DATETIMEUNIT _reso
+        NPY_DATETIMEUNIT _creso
 
     cpdef timedelta to_pytimedelta(_Timedelta self)
     cdef bint _has_ns(self)

pandas/_libs/tslibs/timedeltas.pyi

@@ -78,7 +78,7 @@ def delta_to_nanoseconds(
 ) -> int: ...
 
 class Timedelta(timedelta):
-    _reso: int
+    _creso: int
     min: ClassVar[Timedelta]
     max: ClassVar[Timedelta]
     resolution: ClassVar[Timedelta]

pandas/_libs/tslibs/timedeltas.pyx

@@ -240,11 +240,11 @@ cpdef int64_t delta_to_nanoseconds(
 
     if is_tick_object(delta):
         n = delta.n
-        in_reso = delta._reso
+        in_reso = delta._creso
 
     elif isinstance(delta, _Timedelta):
         n = delta.value
-        in_reso = delta._reso
+        in_reso = delta._creso
 
     elif is_timedelta64_object(delta):
         in_reso = get_datetime64_unit(delta)
@@ -339,7 +339,7 @@ cdef convert_to_timedelta64(object ts, str unit):
         return np.timedelta64(NPY_NAT, "ns")
     elif isinstance(ts, _Timedelta):
         # already in the proper format
-        if ts._reso != NPY_FR_ns:
+        if ts._creso != NPY_FR_ns:
             ts = ts._as_unit("ns").asm8
         else:
             ts = np.timedelta64(ts.value, "ns")
@@ -740,7 +740,7 @@ cdef bint _validate_ops_compat(other):
 def _op_unary_method(func, name):
     def f(self):
         new_value = func(self.value)
-        return _timedelta_from_value_and_reso(new_value, self._reso)
+        return _timedelta_from_value_and_reso(new_value, self._creso)
     f.__name__ = name
     return f
 
@@ -792,18 +792,18 @@ def _binary_op_method_timedeltalike(op, name):
 
         # Matching numpy, we cast to the higher resolution. Unlike numpy,
         #  we raise instead of silently overflowing during this casting.
-        if self._reso < other._reso:
-            self = (<_Timedelta>self)._as_creso(other._reso, round_ok=True)
-        elif self._reso > other._reso:
-            other = (<_Timedelta>other)._as_creso(self._reso, round_ok=True)
+        if self._creso < other._creso:
+            self = (<_Timedelta>self)._as_creso(other._creso, round_ok=True)
+        elif self._creso > other._creso:
+            other = (<_Timedelta>other)._as_creso(self._creso, round_ok=True)
 
         res = op(self.value, other.value)
         if res == NPY_NAT:
             # e.g. test_implementation_limits
             # TODO: more generally could do an overflowcheck in op?
             return NaT
 
-        return _timedelta_from_value_and_reso(res, reso=self._reso)
+        return _timedelta_from_value_and_reso(res, reso=self._creso)
 
     f.__name__ = name
     return f
@@ -970,7 +970,7 @@ cdef _timedelta_from_value_and_reso(int64_t value, NPY_DATETIMEUNIT reso):
 
     td_base.value = value
     td_base._is_populated = 0
-    td_base._reso = reso
+    td_base._creso = reso
     return td_base
 
 
@@ -996,7 +996,7 @@ class MinMaxReso:
             # i.e. this is on the class, default to nanos
             return Timedelta(val)
         else:
-            return Timedelta._from_value_and_reso(val, obj._reso)
+            return Timedelta._from_value_and_reso(val, obj._creso)
 
     def __set__(self, obj, value):
         raise AttributeError(f"{self._name} is not settable.")
@@ -1022,9 +1022,9 @@ cdef class _Timedelta(timedelta):
     @property
     def _unit(self) -> str:
         """
-        The abbreviation associated with self._reso.
+        The abbreviation associated with self._creso.
         """
-        return npy_unit_to_abbrev(self._reso)
+        return npy_unit_to_abbrev(self._creso)
 
     @property
     def days(self) -> int:  # TODO(cython3): make cdef property
@@ -1127,7 +1127,7 @@ cdef class _Timedelta(timedelta):
         else:
             return NotImplemented
 
-        if self._reso == ots._reso:
+        if self._creso == ots._creso:
             return cmp_scalar(self.value, ots.value, op)
         return self._compare_mismatched_resos(ots, op)
 
@@ -1139,18 +1139,18 @@ cdef class _Timedelta(timedelta):
             npy_datetimestruct dts_other
 
         # dispatch to the datetimestruct utils instead of writing new ones!
-        pandas_datetime_to_datetimestruct(self.value, self._reso, &dts_self)
-        pandas_datetime_to_datetimestruct(other.value, other._reso, &dts_other)
+        pandas_datetime_to_datetimestruct(self.value, self._creso, &dts_self)
+        pandas_datetime_to_datetimestruct(other.value, other._creso, &dts_other)
         return cmp_dtstructs(&dts_self,  &dts_other, op)
 
     cdef bint _has_ns(self):
-        if self._reso == NPY_FR_ns:
+        if self._creso == NPY_FR_ns:
             return self.value % 1000 != 0
-        elif self._reso < NPY_FR_ns:
+        elif self._creso < NPY_FR_ns:
             # i.e. seconds, millisecond, microsecond
             return False
         else:
-            raise NotImplementedError(self._reso)
+            raise NotImplementedError(self._creso)
 
     cdef _ensure_components(_Timedelta self):
         """
@@ -1162,7 +1162,7 @@ cdef class _Timedelta(timedelta):
         cdef:
             pandas_timedeltastruct tds
 
-        pandas_timedelta_to_timedeltastruct(self.value, self._reso, &tds)
+        pandas_timedelta_to_timedeltastruct(self.value, self._creso, &tds)
         self._d = tds.days
         self._h = tds.hrs
         self._m = tds.min
@@ -1194,7 +1194,7 @@ cdef class _Timedelta(timedelta):
         -----
         Any nanosecond resolution will be lost.
         """
-        if self._reso == NPY_FR_ns:
+        if self._creso == NPY_FR_ns:
             return timedelta(microseconds=int(self.value) / 1000)
 
         # TODO(@WillAyd): is this the right way to use components?
@@ -1208,7 +1208,7 @@ cdef class _Timedelta(timedelta):
         Return a numpy.timedelta64 object with 'ns' precision.
         """
         cdef:
-            str abbrev = npy_unit_to_abbrev(self._reso)
+            str abbrev = npy_unit_to_abbrev(self._creso)
         # TODO: way to create a np.timedelta64 obj with the reso directly
         #  instead of having to get the abbrev?
         return np.timedelta64(self.value, abbrev)
@@ -1548,11 +1548,11 @@ cdef class _Timedelta(timedelta):
         cdef:
             int64_t value
 
-        if reso == self._reso:
+        if reso == self._creso:
             return self
 
         try:
-            value = convert_reso(self.value, self._reso, reso, round_ok=round_ok)
+            value = convert_reso(self.value, self._creso, reso, round_ok=round_ok)
         except OverflowError as err:
             unit = npy_unit_to_abbrev(reso)
             raise OutOfBoundsTimedelta(
@@ -1565,10 +1565,10 @@ cdef class _Timedelta(timedelta):
         """
         If _resos do not match, cast to the higher resolution, raising on overflow.
         """
-        if self._reso > other._reso:
-            other = other._as_creso(self._reso)
-        elif self._reso < other._reso:
-            self = self._as_creso(other._reso)
+        if self._creso > other._creso:
+            other = other._as_creso(self._creso)
+        elif self._creso < other._creso:
+            self = self._as_creso(other._creso)
         return self, other
 
 
@@ -1736,7 +1736,7 @@ class Timedelta(_Timedelta):
             return cls._from_value_and_reso(new_value, reso=new_reso)
 
         elif is_tick_object(value):
-            new_reso = get_supported_reso(value._reso)
+            new_reso = get_supported_reso(value._creso)
             new_value = delta_to_nanoseconds(value, reso=new_reso)
             return cls._from_value_and_reso(new_value, reso=new_reso)
 
@@ -1769,10 +1769,10 @@ class Timedelta(_Timedelta):
         else:
             value, reso = state
         self.value = value
-        self._reso = reso
+        self._creso = reso
 
     def __reduce__(self):
-        object_state = self.value, self._reso
+        object_state = self.value, self._creso
         return (_timedelta_unpickle, object_state)
 
     @cython.cdivision(True)
@@ -1784,11 +1784,11 @@ class Timedelta(_Timedelta):
         from pandas._libs.tslibs.offsets import to_offset
 
         to_offset(freq).nanos  # raises on non-fixed freq
-        unit = delta_to_nanoseconds(to_offset(freq), self._reso)
+        unit = delta_to_nanoseconds(to_offset(freq), self._creso)
 
         arr = np.array([self.value], dtype="i8")
         result = round_nsint64(arr, mode, unit)[0]
-        return Timedelta._from_value_and_reso(result, self._reso)
+        return Timedelta._from_value_and_reso(result, self._creso)
 
     def round(self, freq):
         """
@@ -1852,7 +1852,7 @@ class Timedelta(_Timedelta):
 
             return _timedelta_from_value_and_reso(
                 <int64_t>(other * self.value),
-                reso=self._reso,
+                reso=self._creso,
             )
 
         elif is_array(other):
@@ -1875,7 +1875,7 @@ class Timedelta(_Timedelta):
             other = Timedelta(other)
             if other is NaT:
                 return np.nan
-            if other._reso != self._reso:
+            if other._creso != self._creso:
                 self, other = self._maybe_cast_to_matching_resos(other)
             return self.value / float(other.value)
 
@@ -1884,7 +1884,7 @@ class Timedelta(_Timedelta):
             if util.is_nan(other):
                 return NaT
             return Timedelta._from_value_and_reso(
-                <int64_t>(self.value / other), self._reso
+                <int64_t>(self.value / other), self._creso
             )
 
         elif is_array(other):
@@ -1902,7 +1902,7 @@ class Timedelta(_Timedelta):
             other = Timedelta(other)
             if other is NaT:
                 return np.nan
-            if self._reso != other._reso:
+            if self._creso != other._creso:
                 self, other = self._maybe_cast_to_matching_resos(other)
             return float(other.value) / self.value
 
@@ -1930,14 +1930,14 @@ class Timedelta(_Timedelta):
             other = Timedelta(other)
             if other is NaT:
                 return np.nan
-            if self._reso != other._reso:
+            if self._creso != other._creso:
                 self, other = self._maybe_cast_to_matching_resos(other)
             return self.value // other.value
 
         elif is_integer_object(other) or is_float_object(other):
             if util.is_nan(other):
                 return NaT
-            return type(self)._from_value_and_reso(self.value // other, self._reso)
+            return type(self)._from_value_and_reso(self.value // other, self._creso)
 
         elif is_array(other):
             if other.ndim == 0:
@@ -1975,7 +1975,7 @@ class Timedelta(_Timedelta):
             other = Timedelta(other)
             if other is NaT:
                 return np.nan
-            if self._reso != other._reso:
+            if self._creso != other._creso:
                 self, other = self._maybe_cast_to_matching_resos(other)
             return other.value // self.value