MNT: Mark all nogil functions as noexcept

pandas/_libs/algos.pxd

@@ -4,7 +4,7 @@ from pandas._libs.dtypes cimport (
 )
 
 
-cdef numeric_t kth_smallest_c(numeric_t* arr, Py_ssize_t k, Py_ssize_t n) nogil
+cdef numeric_t kth_smallest_c(numeric_t* arr, Py_ssize_t k, Py_ssize_t n) noexcept nogil
 
 cdef enum TiebreakEnumType:
     TIEBREAK_AVERAGE

pandas/_libs/algos.pyx

@@ -259,7 +259,7 @@ def groupsort_indexer(const intp_t[:] index, Py_ssize_t ngroups):
     return indexer.base, counts.base
 
 
-cdef Py_ssize_t swap(numeric_t *a, numeric_t *b) nogil:
+cdef Py_ssize_t swap(numeric_t *a, numeric_t *b) noexcept nogil:
     cdef:
         numeric_t t
 
@@ -270,7 +270,8 @@ cdef Py_ssize_t swap(numeric_t *a, numeric_t *b) nogil:
     return 0
 
 
-cdef numeric_t kth_smallest_c(numeric_t* arr, Py_ssize_t k, Py_ssize_t n) nogil:
+cdef numeric_t kth_smallest_c(numeric_t* arr,
+                              Py_ssize_t k, Py_ssize_t n) noexcept nogil:
     """
     See kth_smallest.__doc__. The additional parameter n specifies the maximum
     number of elements considered in arr, needed for compatibility with usage
@@ -1062,7 +1063,7 @@ cdef void rank_sorted_1d(
     # https://github.com/cython/cython/issues/1630, only trailing arguments can
     # currently be omitted for cdef functions, which is why we keep this at the end
     const intp_t[:] labels=None,
-) nogil:
+) noexcept nogil:
     """
     See rank_1d.__doc__. Handles only actual ranking, so sorting and masking should
     be handled in the caller. Note that `out` and `grp_sizes` are modified inplace.

pandas/_libs/groupby.pyx

@@ -62,7 +62,7 @@ cdef enum InterpolationEnumType:
     INTERPOLATION_MIDPOINT
 
 
-cdef float64_t median_linear_mask(float64_t* a, int n, uint8_t* mask) nogil:
+cdef float64_t median_linear_mask(float64_t* a, int n, uint8_t* mask) noexcept nogil:
     cdef:
         int i, j, na_count = 0
         float64_t* tmp
@@ -99,7 +99,7 @@ cdef float64_t median_linear_mask(float64_t* a, int n, uint8_t* mask) nogil:
     return result
 
 
-cdef float64_t median_linear(float64_t* a, int n) nogil:
+cdef float64_t median_linear(float64_t* a, int n) noexcept nogil:
     cdef:
         int i, j, na_count = 0
         float64_t* tmp
@@ -136,7 +136,7 @@ cdef float64_t median_linear(float64_t* a, int n) nogil:
     return result
 
 
-cdef float64_t calc_median_linear(float64_t* a, int n, int na_count) nogil:
+cdef float64_t calc_median_linear(float64_t* a, int n, int na_count) noexcept nogil:
     cdef:
         float64_t result
 
@@ -1293,7 +1293,8 @@ ctypedef fused numeric_object_complex_t:
     complex128_t
 
 
-cdef bint _treat_as_na(numeric_object_complex_t val, bint is_datetimelike) nogil:
+cdef bint _treat_as_na(numeric_object_complex_t val,
+                       bint is_datetimelike) noexcept nogil:
     if numeric_object_complex_t is object:
         # Should never be used, but we need to avoid the `val != val` below
         #  or else cython will raise about gil acquisition.

pandas/_libs/hashing.pyx

@@ -110,11 +110,11 @@ def hash_object_array(
     return result.base  # .base to retrieve underlying np.ndarray
 
 
-cdef uint64_t _rotl(uint64_t x, uint64_t b) nogil:
+cdef uint64_t _rotl(uint64_t x, uint64_t b) noexcept nogil:
     return (x << b) | (x >> (64 - b))
 
 
-cdef uint64_t u8to64_le(uint8_t* p) nogil:
+cdef uint64_t u8to64_le(uint8_t* p) noexcept nogil:
     return (<uint64_t>p[0] |
             <uint64_t>p[1] << 8 |
             <uint64_t>p[2] << 16 |
@@ -145,7 +145,7 @@ cdef void _sipround(uint64_t* v0, uint64_t* v1,
 
 @cython.cdivision(True)
 cdef uint64_t low_level_siphash(uint8_t* data, size_t datalen,
-                                uint8_t* key) nogil:
+                                uint8_t* key) noexcept nogil:
     cdef uint64_t v0 = 0x736f6d6570736575ULL
     cdef uint64_t v1 = 0x646f72616e646f6dULL
     cdef uint64_t v2 = 0x6c7967656e657261ULL

pandas/_libs/hashtable_class_helper.pxi.in

@@ -13,7 +13,7 @@ complex_types = ['complex64',
 }}
 
 {{for name in complex_types}}
-cdef kh{{name}}_t to_kh{{name}}_t({{name}}_t val) nogil:
+cdef kh{{name}}_t to_kh{{name}}_t({{name}}_t val) noexcept nogil:
     cdef kh{{name}}_t res
     res.real = val.real
     res.imag = val.imag
@@ -42,7 +42,7 @@ c_types = ['khcomplex128_t',
 
 {{for c_type in c_types}}
 
-cdef bint is_nan_{{c_type}}({{c_type}} val) nogil:
+cdef bint is_nan_{{c_type}}({{c_type}} val) noexcept nogil:
     {{if c_type in {'khcomplex128_t', 'khcomplex64_t'} }}
     return val.real != val.real or val.imag != val.imag
     {{elif c_type in {'float64_t', 'float32_t'} }}
@@ -55,7 +55,7 @@ cdef bint is_nan_{{c_type}}({{c_type}} val) nogil:
 {{if c_type in {'khcomplex128_t', 'khcomplex64_t', 'float64_t', 'float32_t'} }}
 # are_equivalent_{{c_type}} is cimported via khash.pxd
 {{else}}
-cdef bint are_equivalent_{{c_type}}({{c_type}} val1, {{c_type}} val2) nogil:
+cdef bint are_equivalent_{{c_type}}({{c_type}} val1, {{c_type}} val2) noexcept nogil:
     return val1 == val2
 {{endif}}
 
@@ -163,7 +163,7 @@ ctypedef fused vector_data:
     Complex64VectorData
     StringVectorData
 
-cdef bint needs_resize(vector_data *data) nogil:
+cdef bint needs_resize(vector_data *data) noexcept nogil:
     return data.n == data.m
 
 # ----------------------------------------------------------------------

pandas/_libs/tslibs/ccalendar.pxd

@@ -6,14 +6,14 @@ from numpy cimport (
 
 ctypedef (int32_t, int32_t, int32_t) iso_calendar_t
 
-cdef int dayofweek(int y, int m, int d) nogil
-cdef bint is_leapyear(int64_t year) nogil
-cpdef int32_t get_days_in_month(int year, Py_ssize_t month) nogil
-cpdef int32_t get_week_of_year(int year, int month, int day) nogil
-cpdef iso_calendar_t get_iso_calendar(int year, int month, int day) nogil
-cpdef int32_t get_day_of_year(int year, int month, int day) nogil
-cpdef int get_lastbday(int year, int month) nogil
-cpdef int get_firstbday(int year, int month) nogil
+cdef int dayofweek(int y, int m, int d) noexcept nogil
+cdef bint is_leapyear(int64_t year) noexcept nogil
+cpdef int32_t get_days_in_month(int year, Py_ssize_t month) noexcept nogil
+cpdef int32_t get_week_of_year(int year, int month, int day) noexcept nogil
+cpdef iso_calendar_t get_iso_calendar(int year, int month, int day) noexcept nogil
+cpdef int32_t get_day_of_year(int year, int month, int day) noexcept nogil
+cpdef int get_lastbday(int year, int month) noexcept nogil
+cpdef int get_firstbday(int year, int month) noexcept nogil
 
 cdef dict c_MONTH_NUMBERS
 

pandas/_libs/tslibs/ccalendar.pyx

@@ -53,7 +53,7 @@ weekday_to_int = {int_to_weekday[key]: key for key in int_to_weekday}
 
 @cython.wraparound(False)
 @cython.boundscheck(False)
-cpdef int32_t get_days_in_month(int year, Py_ssize_t month) nogil:
+cpdef int32_t get_days_in_month(int year, Py_ssize_t month) noexcept nogil:
     """
     Return the number of days in the given month of the given year.
 
@@ -77,7 +77,7 @@ cpdef int32_t get_days_in_month(int year, Py_ssize_t month) nogil:
 @cython.wraparound(False)
 @cython.boundscheck(False)
 @cython.cdivision
-cdef int dayofweek(int y, int m, int d) nogil:
+cdef int dayofweek(int y, int m, int d) noexcept nogil:
     """
     Find the day of week for the date described by the Y/M/D triple y, m, d
     using Sakamoto's method, from wikipedia.
@@ -114,7 +114,7 @@ cdef int dayofweek(int y, int m, int d) nogil:
     return (day + 6) % 7
 
 
-cdef bint is_leapyear(int64_t year) nogil:
+cdef bint is_leapyear(int64_t year) noexcept nogil:
     """
     Returns 1 if the given year is a leap year, 0 otherwise.
 
@@ -132,7 +132,7 @@ cdef bint is_leapyear(int64_t year) nogil:
 
 @cython.wraparound(False)
 @cython.boundscheck(False)
-cpdef int32_t get_week_of_year(int year, int month, int day) nogil:
+cpdef int32_t get_week_of_year(int year, int month, int day) noexcept nogil:
     """
     Return the ordinal week-of-year for the given day.
 
@@ -155,7 +155,7 @@ cpdef int32_t get_week_of_year(int year, int month, int day) nogil:
 
 @cython.wraparound(False)
 @cython.boundscheck(False)
-cpdef iso_calendar_t get_iso_calendar(int year, int month, int day) nogil:
+cpdef iso_calendar_t get_iso_calendar(int year, int month, int day) noexcept nogil:
     """
     Return the year, week, and day of year corresponding to ISO 8601
 
@@ -209,7 +209,7 @@ cpdef iso_calendar_t get_iso_calendar(int year, int month, int day) nogil:
 
 @cython.wraparound(False)
 @cython.boundscheck(False)
-cpdef int32_t get_day_of_year(int year, int month, int day) nogil:
+cpdef int32_t get_day_of_year(int year, int month, int day) noexcept nogil:
     """
     Return the ordinal day-of-year for the given day.
 
@@ -243,7 +243,7 @@ cpdef int32_t get_day_of_year(int year, int month, int day) nogil:
 # ---------------------------------------------------------------------
 # Business Helpers
 
-cpdef int get_lastbday(int year, int month) nogil:
+cpdef int get_lastbday(int year, int month) noexcept nogil:
     """
     Find the last day of the month that is a business day.
 
@@ -264,7 +264,7 @@ cpdef int get_lastbday(int year, int month) nogil:
     return days_in_month - max(((wkday + days_in_month - 1) % 7) - 4, 0)
 
 
-cpdef int get_firstbday(int year, int month) nogil:
+cpdef int get_firstbday(int year, int month) noexcept nogil:
     """
     Find the first day of the month that is a business day.
 

pandas/_libs/tslibs/dtypes.pxd

@@ -5,7 +5,7 @@ from pandas._libs.tslibs.np_datetime cimport NPY_DATETIMEUNIT
 
 cpdef str npy_unit_to_abbrev(NPY_DATETIMEUNIT unit)
 cpdef NPY_DATETIMEUNIT abbrev_to_npy_unit(str abbrev)
-cdef NPY_DATETIMEUNIT freq_group_code_to_npy_unit(int freq) nogil
+cdef NPY_DATETIMEUNIT freq_group_code_to_npy_unit(int freq) noexcept nogil
 cpdef int64_t periods_per_day(NPY_DATETIMEUNIT reso=*) except? -1
 cpdef int64_t periods_per_second(NPY_DATETIMEUNIT reso) except? -1
 cpdef NPY_DATETIMEUNIT get_supported_reso(NPY_DATETIMEUNIT reso)

pandas/_libs/tslibs/dtypes.pyx

@@ -380,7 +380,7 @@ cpdef NPY_DATETIMEUNIT abbrev_to_npy_unit(str abbrev):
         raise ValueError(f"Unrecognized unit {abbrev}")
 
 
-cdef NPY_DATETIMEUNIT freq_group_code_to_npy_unit(int freq) nogil:
+cdef NPY_DATETIMEUNIT freq_group_code_to_npy_unit(int freq) noexcept nogil:
     """
     Convert the freq to the corresponding NPY_DATETIMEUNIT to pass
     to npy_datetimestruct_to_datetime.

pandas/_libs/tslibs/fields.pyx

@@ -193,7 +193,7 @@ def get_date_name_field(
     return out
 
 
-cdef bint _is_on_month(int month, int compare_month, int modby) nogil:
+cdef bint _is_on_month(int month, int compare_month, int modby) noexcept nogil:
     """
     Analogous to DateOffset.is_on_offset checking for the month part of a date.
     """

pandas/_libs/tslibs/np_datetime.pxd

@@ -96,9 +96,9 @@ cdef int64_t pydate_to_dt64(
 )
 cdef void pydate_to_dtstruct(date val, npy_datetimestruct *dts) noexcept
 
-cdef npy_datetime get_datetime64_value(object obj) nogil
-cdef npy_timedelta get_timedelta64_value(object obj) nogil
-cdef NPY_DATETIMEUNIT get_datetime64_unit(object obj) nogil
+cdef npy_datetime get_datetime64_value(object obj) noexcept nogil
+cdef npy_timedelta get_timedelta64_value(object obj) noexcept nogil
+cdef NPY_DATETIMEUNIT get_datetime64_unit(object obj) noexcept nogil
 
 cdef int string_to_dts(
     str val,

pandas/_libs/tslibs/np_datetime.pyx

@@ -59,7 +59,7 @@ cdef extern from "src/datetime/pd_datetime.h":
 # ----------------------------------------------------------------------
 # numpy object inspection
 
-cdef npy_datetime get_datetime64_value(object obj) nogil:
+cdef npy_datetime get_datetime64_value(object obj) noexcept nogil:
     """
     returns the int64 value underlying scalar numpy datetime64 object
 
@@ -69,14 +69,14 @@ cdef npy_datetime get_datetime64_value(object obj) nogil:
     return (<PyDatetimeScalarObject*>obj).obval
 
 
-cdef npy_timedelta get_timedelta64_value(object obj) nogil:
+cdef npy_timedelta get_timedelta64_value(object obj) noexcept nogil:
     """
     returns the int64 value underlying scalar numpy timedelta64 object
     """
     return (<PyTimedeltaScalarObject*>obj).obval
 
 
-cdef NPY_DATETIMEUNIT get_datetime64_unit(object obj) nogil:
+cdef NPY_DATETIMEUNIT get_datetime64_unit(object obj) noexcept nogil:
     """
     returns the unit part of the dtype for a numpy datetime64 object.
     """

pandas/_libs/tslibs/offsets.pyx

@@ -4390,14 +4390,14 @@ cdef datetime _shift_day(datetime other, int days):
     return localize_pydatetime(shifted, tz)
 
 
-cdef int year_add_months(npy_datetimestruct dts, int months) nogil:
+cdef int year_add_months(npy_datetimestruct dts, int months) noexcept nogil:
     """
     New year number after shifting npy_datetimestruct number of months.
     """
     return dts.year + (dts.month + months - 1) // 12
 
 
-cdef int month_add_months(npy_datetimestruct dts, int months) nogil:
+cdef int month_add_months(npy_datetimestruct dts, int months) noexcept nogil:
     """
     New month number after shifting npy_datetimestruct
     number of months.
@@ -4619,7 +4619,7 @@ def shift_month(stamp: datetime, months: int, day_opt: object = None) -> datetim
     return stamp.replace(year=year, month=month, day=day)
 
 
-cdef int get_day_of_month(npy_datetimestruct* dts, str day_opt) nogil:
+cdef int get_day_of_month(npy_datetimestruct* dts, str day_opt) noexcept nogil:
     """
     Find the day in `other`'s month that satisfies a DateOffset's is_on_offset
     policy, as described by the `day_opt` argument.
@@ -4664,7 +4664,7 @@ cdef int get_day_of_month(npy_datetimestruct* dts, str day_opt) nogil:
         return get_lastbday(dts.year, dts.month)
 
 
-cpdef int roll_convention(int other, int n, int compare) nogil:
+cpdef int roll_convention(int other, int n, int compare) noexcept nogil:
     """
     Possibly increment or decrement the number of periods to shift
     based on rollforward/rollbackward conventions.

pandas/_libs/tslibs/period.pxd

@@ -4,4 +4,4 @@ from .np_datetime cimport npy_datetimestruct
 
 
 cdef bint is_period_object(object obj)
-cdef int64_t get_period_ordinal(npy_datetimestruct *dts, int freq) nogil
+cdef int64_t get_period_ordinal(npy_datetimestruct *dts, int freq) noexcept nogil