From e791da0036154197aaf499f86be4ae730bd7171c Mon Sep 17 00:00:00 2001 From: Brock Date: Fri, 22 Apr 2022 08:51:37 -0700 Subject: [PATCH 1/7] implement utc_val_to_local_val --- pandas/_libs/tslibs/vectorized.pyx | 97 ++++++++---------------------- 1 file changed, 25 insertions(+), 72 deletions(-) diff --git a/pandas/_libs/tslibs/vectorized.pyx b/pandas/_libs/tslibs/vectorized.pyx index 0f0e321b2d5bf..414ecef871003 100644 --- a/pandas/_libs/tslibs/vectorized.pyx +++ b/pandas/_libs/tslibs/vectorized.pyx @@ -59,6 +59,7 @@ cdef class Localizer: Py_ssize_t ntrans const int64_t[::1] deltas int64_t delta + int64_t* tdata @cython.initializedcheck(False) @cython.boundscheck(False) @@ -69,6 +70,7 @@ cdef class Localizer: self.ntrans = -1 # placeholder self.delta = -1 # placeholder self.deltas = _deltas_placeholder + self.tdata = NULL if is_utc(tz) or tz is None: self.use_utc = True @@ -79,17 +81,29 @@ cdef class Localizer: else: trans, deltas, typ = get_dst_info(tz) self.trans = trans - self.ntrans = trans.shape[0] + self.ntrans = self.trans.shape[0] self.deltas = deltas if typ != "pytz" and typ != "dateutil": # static/fixed; in this case we know that len(delta) == 1 self.use_fixed = True - self.delta = deltas[0] + self.delta = self.deltas[0] else: self.use_dst = True if typ == "pytz": self.use_pytz = True + self.tdata = cnp.PyArray_DATA(self.trans) + + cdef inline int64_t utc_val_to_local_val(self, int64_t utc_val, Py_ssize_t* pos): + if self.use_utc: + return utc_val + elif self.use_tzlocal: + return utc_val + localize_tzinfo_api(utc_val, self.tz) + elif self.use_fixed: + local_val = utc_val + self.delta + else: + pos[0] = bisect_right_i8(self.tdata, utc_val, self.ntrans) - 1 + return utc_val + self.deltas[pos[0]] # ------------------------------------------------------------------------- @@ -135,7 +149,6 @@ def ints_to_pydatetime( Localizer info = Localizer(tz) int64_t utc_val, local_val Py_ssize_t pos, i, n = stamps.shape[0] - int64_t* tdata = NULL npy_datetimestruct dts tzinfo new_tz @@ -156,9 +169,6 @@ def ints_to_pydatetime( "box must be one of 'datetime', 'date', 'time' or 'timestamp'" ) - if info.use_dst: - tdata = cnp.PyArray_DATA(info.trans) - for i in range(n): utc_val = stamps[i] new_tz = tz @@ -167,19 +177,10 @@ def ints_to_pydatetime( result[i] = NaT continue - if info.use_utc: - local_val = utc_val - elif info.use_tzlocal: - local_val = utc_val + localize_tzinfo_api(utc_val, tz) - elif info.use_fixed: - local_val = utc_val + info.delta - else: - pos = bisect_right_i8(tdata, utc_val, info.ntrans) - 1 - local_val = utc_val + info.deltas[pos] - - if info.use_pytz: - # find right representation of dst etc in pytz timezone - new_tz = tz._tzinfos[tz._transition_info[pos]] + local_val = info.utc_val_to_local_val(utc_val, &pos) + if info.use_pytz: + # find right representation of dst etc in pytz timezone + new_tz = tz._tzinfos[tz._transition_info[pos]] dt64_to_dtstruct(local_val, &dts) @@ -222,28 +223,16 @@ def get_resolution(const int64_t[:] stamps, tzinfo tz=None) -> Resolution: Localizer info = Localizer(tz) int64_t utc_val, local_val Py_ssize_t pos, i, n = stamps.shape[0] - int64_t* tdata = NULL npy_datetimestruct dts c_Resolution reso = c_Resolution.RESO_DAY, curr_reso - if info.use_dst: - tdata = cnp.PyArray_DATA(info.trans) - for i in range(n): utc_val = stamps[i] if utc_val == NPY_NAT: continue - if info.use_utc: - local_val = utc_val - elif info.use_tzlocal: - local_val = utc_val + localize_tzinfo_api(utc_val, tz) - elif info.use_fixed: - local_val = utc_val + info.delta - else: - pos = bisect_right_i8(tdata, utc_val, info.ntrans) - 1 - local_val = utc_val + info.deltas[pos] + local_val = info.utc_val_to_local_val(utc_val, &pos) dt64_to_dtstruct(local_val, &dts) curr_reso = _reso_stamp(&dts) @@ -278,28 +267,16 @@ cpdef ndarray[int64_t] normalize_i8_timestamps(const int64_t[:] stamps, tzinfo t Localizer info = Localizer(tz) int64_t utc_val, local_val Py_ssize_t pos, i, n = stamps.shape[0] - int64_t* tdata = NULL int64_t[::1] result = np.empty(n, dtype=np.int64) - if info.use_dst: - tdata = cnp.PyArray_DATA(info.trans) - for i in range(n): utc_val = stamps[i] if utc_val == NPY_NAT: result[i] = NPY_NAT continue - if info.use_utc: - local_val = utc_val - elif info.use_tzlocal: - local_val = utc_val + localize_tzinfo_api(utc_val, tz) - elif info.use_fixed: - local_val = utc_val + info.delta - else: - pos = bisect_right_i8(tdata, utc_val, info.ntrans) - 1 - local_val = utc_val + info.deltas[pos] + local_val = info.utc_val_to_local_val(utc_val, &pos) result[i] = local_val - (local_val % DAY_NANOS) @@ -327,22 +304,11 @@ def is_date_array_normalized(const int64_t[:] stamps, tzinfo tz=None) -> bool: Localizer info = Localizer(tz) int64_t utc_val, local_val Py_ssize_t pos, i, n = stamps.shape[0] - int64_t* tdata = NULL - - if info.use_dst: - tdata = cnp.PyArray_DATA(info.trans) for i in range(n): utc_val = stamps[i] - if info.use_utc: - local_val = utc_val - elif info.use_tzlocal: - local_val = utc_val + localize_tzinfo_api(utc_val, tz) - elif info.use_fixed: - local_val = utc_val + info.delta - else: - pos = bisect_right_i8(tdata, utc_val, info.ntrans) - 1 - local_val = utc_val + info.deltas[pos] + + local_val = info.utc_val_to_local_val(utc_val, &pos) if local_val % DAY_NANOS != 0: return False @@ -361,15 +327,11 @@ def dt64arr_to_periodarr(ndarray stamps, int freq, tzinfo tz): Localizer info = Localizer(tz) Py_ssize_t pos, i, n = stamps.size int64_t utc_val, local_val, res_val - int64_t* tdata = NULL npy_datetimestruct dts ndarray result = cnp.PyArray_EMPTY(stamps.ndim, stamps.shape, cnp.NPY_INT64, 0) cnp.broadcast mi = cnp.PyArray_MultiIterNew2(result, stamps) - if info.use_dst: - tdata = cnp.PyArray_DATA(info.trans) - for i in range(n): # Analogous to: utc_val = stamps[i] utc_val = (cnp.PyArray_MultiIter_DATA(mi, 1))[0] @@ -377,16 +339,7 @@ def dt64arr_to_periodarr(ndarray stamps, int freq, tzinfo tz): if utc_val == NPY_NAT: res_val = NPY_NAT else: - if info.use_utc: - local_val = utc_val - elif info.use_tzlocal: - local_val = utc_val + localize_tzinfo_api(utc_val, tz) - elif info.use_fixed: - local_val = utc_val + info.delta - else: - pos = bisect_right_i8(tdata, utc_val, info.ntrans) - 1 - local_val = utc_val + info.deltas[pos] - + local_val = info.utc_val_to_local_val(utc_val, &pos) dt64_to_dtstruct(local_val, &dts) res_val = get_period_ordinal(&dts, freq) From 4caac7eeefb58b387f4b35230c9f19910c0a11a8 Mon Sep 17 00:00:00 2001 From: Brock Date: Fri, 22 Apr 2022 09:55:34 -0700 Subject: [PATCH 2/7] boundscheck(False) --- pandas/_libs/tslibs/vectorized.pyx | 1 + 1 file changed, 1 insertion(+) diff --git a/pandas/_libs/tslibs/vectorized.pyx b/pandas/_libs/tslibs/vectorized.pyx index 414ecef871003..ddd694419a926 100644 --- a/pandas/_libs/tslibs/vectorized.pyx +++ b/pandas/_libs/tslibs/vectorized.pyx @@ -94,6 +94,7 @@ cdef class Localizer: self.use_pytz = True self.tdata = cnp.PyArray_DATA(self.trans) + @cython.boundscheck(False) cdef inline int64_t utc_val_to_local_val(self, int64_t utc_val, Py_ssize_t* pos): if self.use_utc: return utc_val From a0785af5a87fcf35aee135a8bd1bc24f72f18882 Mon Sep 17 00:00:00 2001 From: Brock Date: Fri, 22 Apr 2022 18:50:52 -0700 Subject: [PATCH 3/7] avoid unitialized-warning --- pandas/_libs/tslibs/vectorized.pyx | 15 ++++++++++----- 1 file changed, 10 insertions(+), 5 deletions(-) diff --git a/pandas/_libs/tslibs/vectorized.pyx b/pandas/_libs/tslibs/vectorized.pyx index ddd694419a926..cf465d0ab8284 100644 --- a/pandas/_libs/tslibs/vectorized.pyx +++ b/pandas/_libs/tslibs/vectorized.pyx @@ -149,7 +149,8 @@ def ints_to_pydatetime( cdef: Localizer info = Localizer(tz) int64_t utc_val, local_val - Py_ssize_t pos, i, n = stamps.shape[0] + Py_ssize_t i, n = stamps.shape[0] + Py_ssize_t pos = -1 # unused, avoid not-initialized warning npy_datetimestruct dts tzinfo new_tz @@ -223,7 +224,8 @@ def get_resolution(const int64_t[:] stamps, tzinfo tz=None) -> Resolution: cdef: Localizer info = Localizer(tz) int64_t utc_val, local_val - Py_ssize_t pos, i, n = stamps.shape[0] + Py_ssize_t i, n = stamps.shape[0] + Py_ssize_t pos = -1 # unused, avoid not-initialized warning npy_datetimestruct dts c_Resolution reso = c_Resolution.RESO_DAY, curr_reso @@ -267,7 +269,8 @@ cpdef ndarray[int64_t] normalize_i8_timestamps(const int64_t[:] stamps, tzinfo t cdef: Localizer info = Localizer(tz) int64_t utc_val, local_val - Py_ssize_t pos, i, n = stamps.shape[0] + Py_ssize_t i, n = stamps.shape[0] + Py_ssize_t pos = -1 # unused, avoid not-initialized warning int64_t[::1] result = np.empty(n, dtype=np.int64) @@ -304,7 +307,8 @@ def is_date_array_normalized(const int64_t[:] stamps, tzinfo tz=None) -> bool: cdef: Localizer info = Localizer(tz) int64_t utc_val, local_val - Py_ssize_t pos, i, n = stamps.shape[0] + Py_ssize_t i, n = stamps.shape[0] + Py_ssize_t pos = -1 # unused, avoid not-initialized warning for i in range(n): utc_val = stamps[i] @@ -326,7 +330,8 @@ def dt64arr_to_periodarr(ndarray stamps, int freq, tzinfo tz): # stamps is int64_t, arbitrary ndim cdef: Localizer info = Localizer(tz) - Py_ssize_t pos, i, n = stamps.size + Py_ssize_t i, n = stamps.shape[0] + Py_ssize_t pos = -1 # unused, avoid not-initialized warning int64_t utc_val, local_val, res_val npy_datetimestruct dts From 1169181ef808da6941aa1cf4534ce3583ac24ec5 Mon Sep 17 00:00:00 2001 From: Brock Date: Fri, 22 Apr 2022 20:12:37 -0700 Subject: [PATCH 4/7] typo fixup --- pandas/_libs/tslibs/vectorized.pyx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pandas/_libs/tslibs/vectorized.pyx b/pandas/_libs/tslibs/vectorized.pyx index cf465d0ab8284..585d6843be57c 100644 --- a/pandas/_libs/tslibs/vectorized.pyx +++ b/pandas/_libs/tslibs/vectorized.pyx @@ -101,7 +101,7 @@ cdef class Localizer: elif self.use_tzlocal: return utc_val + localize_tzinfo_api(utc_val, self.tz) elif self.use_fixed: - local_val = utc_val + self.delta + return utc_val + self.delta else: pos[0] = bisect_right_i8(self.tdata, utc_val, self.ntrans) - 1 return utc_val + self.deltas[pos[0]] @@ -330,7 +330,7 @@ def dt64arr_to_periodarr(ndarray stamps, int freq, tzinfo tz): # stamps is int64_t, arbitrary ndim cdef: Localizer info = Localizer(tz) - Py_ssize_t i, n = stamps.shape[0] + Py_ssize_t i, n = stamps.size Py_ssize_t pos = -1 # unused, avoid not-initialized warning int64_t utc_val, local_val, res_val From 98a16c5310fdf6c5aa83d8f1aba40380d59cb269 Mon Sep 17 00:00:00 2001 From: Brock Date: Sun, 24 Apr 2022 08:05:17 -0700 Subject: [PATCH 5/7] troubleshoot 32bit build --- pandas/_libs/tslibs/vectorized.html | 2257 +++++++++++++++++++++++++++ pandas/_libs/tslibs/vectorized.pyx | 2 +- 2 files changed, 2258 insertions(+), 1 deletion(-) create mode 100644 pandas/_libs/tslibs/vectorized.html diff --git a/pandas/_libs/tslibs/vectorized.html b/pandas/_libs/tslibs/vectorized.html new file mode 100644 index 0000000000000..e4d45d5244235 --- /dev/null +++ b/pandas/_libs/tslibs/vectorized.html @@ -0,0 +1,2257 @@ + + + + + + Cython: vectorized.pyx + + + +

Generated by Cython 0.29.24

+

+ Yellow lines hint at Python interaction.
+ Click on a line that starts with a "+" to see the C code that Cython generated for it. +

+

Raw output: vectorized.c

+
+001: import cython
+
  __pyx_t_6 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_6)) __PYX_ERR(1, 1, __pyx_L1_error)
+  __Pyx_GOTREF(__pyx_t_6);
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+  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
+
 002:
+
 003: from cpython.datetime cimport (
+
 004:     date,
+
 005:     datetime,
+
 006:     time,
+
 007:     tzinfo,
+
 008: )
+
 009:
+
+010: import numpy as np
+
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_numpy, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 10, __pyx_L1_error)
+  __Pyx_GOTREF(__pyx_t_1);
+  if (PyDict_SetItem(__pyx_d, __pyx_n_s_np, __pyx_t_1) < 0) __PYX_ERR(1, 10, __pyx_L1_error)
+  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
+
 011:
+
 012: cimport numpy as cnp
+
 013: from numpy cimport (
+
 014:     int64_t,
+
 015:     intp_t,
+
 016:     ndarray,
+
 017: )
+
 018:
+
+019: cnp.import_array()
+
  __pyx_t_2 = __pyx_f_5numpy_import_array(); if (unlikely(__pyx_t_2 == ((int)-1))) __PYX_ERR(1, 19, __pyx_L1_error)
+
 020:
+
+021: from .dtypes import Resolution
+
  __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 21, __pyx_L1_error)
+  __Pyx_GOTREF(__pyx_t_1);
+  __Pyx_INCREF(__pyx_n_s_Resolution);
+  __Pyx_GIVEREF(__pyx_n_s_Resolution);
+  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_Resolution);
+  __pyx_t_3 = __Pyx_Import(__pyx_n_s_dtypes, __pyx_t_1, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 21, __pyx_L1_error)
+  __Pyx_GOTREF(__pyx_t_3);
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+  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
+
 022:
+
 023: from .ccalendar cimport DAY_NANOS
+
 024: from .dtypes cimport c_Resolution
+
 025: from .nattype cimport (
+
 026:     NPY_NAT,
+
 027:     c_NaT as NaT,
+
 028: )
+
 029: from .np_datetime cimport (
+
 030:     dt64_to_dtstruct,
+
 031:     npy_datetimestruct,
+
 032: )
+
 033: from .offsets cimport BaseOffset
+
 034: from .period cimport get_period_ordinal
+
 035: from .timestamps cimport create_timestamp_from_ts
+
 036: from .timezones cimport (
+
 037:     get_dst_info,
+
 038:     is_tzlocal,
+
 039:     is_utc,
+
 040:     is_zoneinfo,
+
 041: )
+
 042: from .tzconversion cimport (
+
 043:     bisect_right_i8,
+
 044:     localize_tzinfo_api,
+
 045: )
+
 046:
+
 047:
+
+048: cdef const int64_t[::1] _deltas_placeholder = np.array([], dtype=np.int64)
+
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+  __pyx_v_6pandas_5_libs_6tslibs_10vectorized__deltas_placeholder = __pyx_t_7;
+  __pyx_t_7.memview = NULL;
+  __pyx_t_7.data = NULL;
+
 049:
+
 050:
+
 051: @cython.freelist(16)
+
 052: @cython.internal
+
 053: @cython.final
+
+054: cdef class Localizer:
+
struct __pyx_obj_6pandas_5_libs_6tslibs_10vectorized_Localizer {
+  PyObject_HEAD
+  struct __pyx_vtabstruct_6pandas_5_libs_6tslibs_10vectorized_Localizer *__pyx_vtab;
+  PyDateTime_TZInfo *tz;
+  int use_utc;
+  int use_fixed;
+  int use_tzlocal;
+  int use_dst;
+  int use_pytz;
+  PyArrayObject *trans;
+  Py_ssize_t ntrans;
+  __Pyx_memviewslice deltas;
+  __pyx_t_5numpy_int64_t delta;
+  __pyx_t_5numpy_int64_t *tdata;
+};
+/* … */
+struct __pyx_vtabstruct_6pandas_5_libs_6tslibs_10vectorized_Localizer {
+  __pyx_t_5numpy_int64_t (*utc_val_to_local_val)(struct __pyx_obj_6pandas_5_libs_6tslibs_10vectorized_Localizer *, __pyx_t_5numpy_int64_t, Py_ssize_t *);
+};
+static struct __pyx_vtabstruct_6pandas_5_libs_6tslibs_10vectorized_Localizer *__pyx_vtabptr_6pandas_5_libs_6tslibs_10vectorized_Localizer;
+static CYTHON_INLINE __pyx_t_5numpy_int64_t __pyx_f_6pandas_5_libs_6tslibs_10vectorized_9Localizer_utc_val_to_local_val(struct __pyx_obj_6pandas_5_libs_6tslibs_10vectorized_Localizer *, __pyx_t_5numpy_int64_t, Py_ssize_t *);
+
+
 055:     cdef:
+
 056:         tzinfo tz
+
 057:         bint use_utc, use_fixed, use_tzlocal, use_dst, use_pytz
+
 058:         ndarray trans
+
 059:         Py_ssize_t ntrans
+
 060:         const int64_t[::1] deltas
+
 061:         int64_t delta
+
 062:         int64_t* tdata
+
 063:
+
 064:     @cython.initializedcheck(False)
+
 065:     @cython.boundscheck(False)
+
+066:     def __cinit__(self, tzinfo tz):
+
/* Python wrapper */
+static int __pyx_pw_6pandas_5_libs_6tslibs_10vectorized_9Localizer_1__cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
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+  int __pyx_r;
+  __Pyx_RefNannyDeclarations
+  __Pyx_RefNannySetupContext("__cinit__ (wrapper)", 0);
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 116:     const int64_t[:] stamps,
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    values[1] = (PyObject *)((PyDateTime_TZInfo *)Py_None);
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+    }
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+
 120:     str box="datetime"
+
 121: ) -> np.ndarray:
+
 122:     """
+
 123:     Convert an i8 repr to an ndarray of datetimes, date, time or Timestamp.
+
 124:
+
 125:     Parameters
+
 126:     ----------
+
 127:     stamps : array of i8
+
 128:     tz : str, optional
+
 129:          convert to this timezone
+
 130:     freq : BaseOffset, optional
+
 131:          freq to convert
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 132:     fold : bint, default is 0
+
 133:         Due to daylight saving time, one wall clock time can occur twice
+
 134:         when shifting from summer to winter time; fold describes whether the
+
 135:         datetime-like corresponds  to the first (0) or the second time (1)
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 136:         the wall clock hits the ambiguous time
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 137:
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 138:         .. versionadded:: 1.1.0
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 139:     box : {'datetime', 'timestamp', 'date', 'time'}, default 'datetime'
+
 140:         * If datetime, convert to datetime.datetime
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 141:         * If date, convert to datetime.date
+
 142:         * If time, convert to datetime.time
+
 143:         * If Timestamp, convert to pandas.Timestamp
+
 144:
+
 145:     Returns
+
 146:     -------
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 147:     ndarray[object] of type specified by box
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 148:     """
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 149:     cdef:
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+150:         Localizer info = Localizer(tz)
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  __pyx_t_1 = __Pyx_PyObject_CallOneArg(((PyObject *)__pyx_ptype_6pandas_5_libs_6tslibs_10vectorized_Localizer), ((PyObject *)__pyx_v_tz)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 150, __pyx_L1_error)
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 151:         int64_t utc_val, local_val
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 154:
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 155:         npy_datetimestruct dts
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 156:         tzinfo new_tz
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+160:     if box == "date":
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    __pyx_v_use_ts = 1;
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    __pyx_v_use_time = 1;
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+168:         use_pydt = True
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    __pyx_v_use_pydt = 1;
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 169:     else:
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  /*else*/ {
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 171:             "box must be one of 'datetime', 'date', 'time' or 'timestamp'"
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 172:         )
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 173:
+
+174:     for i in range(n):
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  __pyx_t_8 = __pyx_v_n;
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+175:         utc_val = stamps[i]
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    __pyx_t_11 = __pyx_v_i;
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    __Pyx_INCREF(((PyObject *)__pyx_v_tz));
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    __pyx_t_6 = ((__pyx_v_utc_val == __pyx_v_6pandas_5_libs_6tslibs_7nattype_NPY_NAT) != 0);
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+179:             result[i] = <object>NaT
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      __pyx_t_4 = ((PyObject *)__pyx_v_6pandas_5_libs_6tslibs_7nattype_c_NaT);
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 203:
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+
static CYTHON_INLINE enum __pyx_t_6pandas_5_libs_6tslibs_6dtypes_c_Resolution __pyx_f_6pandas_5_libs_6tslibs_10vectorized__reso_stamp(npy_datetimestruct *__pyx_v_dts) {
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+}
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  __pyx_t_1 = ((__pyx_v_dts->hour != 0) != 0);
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 219:
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 220:
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/* Python wrapper */
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 291: @cython.boundscheck(False)
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+
/* Python wrapper */
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 293:     """
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+
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+  int __pyx_lineno = 0;
+  const char *__pyx_filename = NULL;
+  int __pyx_clineno = 0;
+
+  /* function exit code */
+  goto __pyx_L0;
+  __pyx_L1_error:;
+  __pyx_r = NULL;
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+static PyObject *__pyx_pf_6pandas_5_libs_6tslibs_10vectorized_8dt64arr_to_periodarr(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_stamps, int __pyx_v_freq, PyDateTime_TZInfo *__pyx_v_tz) {
+  struct __pyx_obj_6pandas_5_libs_6tslibs_10vectorized_Localizer *__pyx_v_info = 0;
+  CYTHON_UNUSED Py_ssize_t __pyx_v_i;
+  Py_ssize_t __pyx_v_n;
+  Py_ssize_t __pyx_v_pos;
+  __pyx_t_5numpy_int64_t __pyx_v_utc_val;
+  __pyx_t_5numpy_int64_t __pyx_v_local_val;
+  __pyx_t_5numpy_int64_t __pyx_v_res_val;
+  npy_datetimestruct __pyx_v_dts;
+  PyArrayObject *__pyx_v_result = 0;
+  PyArrayMultiIterObject *__pyx_v_mi = 0;
+  PyObject *__pyx_r = NULL;
+  __Pyx_RefNannyDeclarations
+  __Pyx_RefNannySetupContext("dt64arr_to_periodarr", 0);
+/* … */
+  /* function exit code */
+  __pyx_L1_error:;
+  __Pyx_XDECREF(__pyx_t_1);
+  __Pyx_AddTraceback("pandas._libs.tslibs.vectorized.dt64arr_to_periodarr", __pyx_clineno, __pyx_lineno, __pyx_filename);
+  __pyx_r = NULL;
+  __pyx_L0:;
+  __Pyx_XDECREF((PyObject *)__pyx_v_info);
+  __Pyx_XDECREF((PyObject *)__pyx_v_result);
+  __Pyx_XDECREF((PyObject *)__pyx_v_mi);
+  __Pyx_XGIVEREF(__pyx_r);
+  __Pyx_RefNannyFinishContext();
+  return __pyx_r;
+}
+/* … */
+  __pyx_tuple__30 = PyTuple_Pack(13, __pyx_n_s_stamps, __pyx_n_s_freq, __pyx_n_s_tz, __pyx_n_s_info, __pyx_n_s_i, __pyx_n_s_n, __pyx_n_s_pos, __pyx_n_s_utc_val, __pyx_n_s_local_val, __pyx_n_s_res_val, __pyx_n_s_dts, __pyx_n_s_result, __pyx_n_s_mi); if (unlikely(!__pyx_tuple__30)) __PYX_ERR(1, 329, __pyx_L1_error)
+  __Pyx_GOTREF(__pyx_tuple__30);
+  __Pyx_GIVEREF(__pyx_tuple__30);
+/* … */
+  __pyx_t_6 = PyCFunction_NewEx(&__pyx_mdef_6pandas_5_libs_6tslibs_10vectorized_9dt64arr_to_periodarr, NULL, __pyx_n_s_pandas__libs_tslibs_vectorized); if (unlikely(!__pyx_t_6)) __PYX_ERR(1, 329, __pyx_L1_error)
+  __Pyx_GOTREF(__pyx_t_6);
+  if (PyDict_SetItem(__pyx_d, __pyx_n_s_dt64arr_to_periodarr, __pyx_t_6) < 0) __PYX_ERR(1, 329, __pyx_L1_error)
+  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
+  __pyx_codeobj__31 = (PyObject*)__Pyx_PyCode_New(3, 0, 13, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__30, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pandas__libs_tslibs_vectorized_p, __pyx_n_s_dt64arr_to_periodarr, 329, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__31)) __PYX_ERR(1, 329, __pyx_L1_error)
+
 330:     # stamps is int64_t, arbitrary ndim
+
 331:     cdef:
+
+332:         Localizer info = Localizer(tz)
+
  __pyx_t_1 = __Pyx_PyObject_CallOneArg(((PyObject *)__pyx_ptype_6pandas_5_libs_6tslibs_10vectorized_Localizer), ((PyObject *)__pyx_v_tz)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 332, __pyx_L1_error)
+  __Pyx_GOTREF(__pyx_t_1);
+  __pyx_v_info = ((struct __pyx_obj_6pandas_5_libs_6tslibs_10vectorized_Localizer *)__pyx_t_1);
+  __pyx_t_1 = 0;
+
+333:         Py_ssize_t i, n = stamps.size
+
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_stamps), __pyx_n_s_size); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 333, __pyx_L1_error)
+  __Pyx_GOTREF(__pyx_t_1);
+  __pyx_t_2 = __Pyx_PyIndex_AsSsize_t(__pyx_t_1); if (unlikely((__pyx_t_2 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(1, 333, __pyx_L1_error)
+  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
+  __pyx_v_n = __pyx_t_2;
+
+334:         Py_ssize_t pos = -1  # unused, avoid not-initialized warning
+
  __pyx_v_pos = -1L;
+
 335:         int64_t utc_val, local_val, res_val
+
 336:
+
 337:         npy_datetimestruct dts
+
+338:         ndarray result = cnp.PyArray_EMPTY(stamps.ndim, stamps.shape, cnp.NPY_INT64, 0)
+
  __pyx_t_1 = PyArray_EMPTY(__pyx_v_stamps->nd, __pyx_v_stamps->dimensions, NPY_INT64, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 338, __pyx_L1_error)
+  __Pyx_GOTREF(__pyx_t_1);
+  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(1, 338, __pyx_L1_error)
+  __pyx_v_result = ((PyArrayObject *)__pyx_t_1);
+  __pyx_t_1 = 0;
+
+339:         cnp.broadcast mi = cnp.PyArray_MultiIterNew2(result, stamps)
+
  __pyx_t_1 = __pyx_f_5numpy_PyArray_MultiIterNew2(((PyObject *)__pyx_v_result), ((PyObject *)__pyx_v_stamps)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 339, __pyx_L1_error)
+  __Pyx_GOTREF(__pyx_t_1);
+  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_broadcast))))) __PYX_ERR(1, 339, __pyx_L1_error)
+  __pyx_v_mi = ((PyArrayMultiIterObject *)__pyx_t_1);
+  __pyx_t_1 = 0;
+
 340:
+
+341:     for i in range(n):
+
  __pyx_t_2 = __pyx_v_n;
+  __pyx_t_3 = __pyx_t_2;
+  for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
+    __pyx_v_i = __pyx_t_4;
+
 342:         # Analogous to: utc_val = stamps[i]
+
+343:         utc_val = (<int64_t*>cnp.PyArray_MultiIter_DATA(mi, 1))[0]
+
    __pyx_v_utc_val = (((__pyx_t_5numpy_int64_t *)PyArray_MultiIter_DATA(__pyx_v_mi, 1))[0]);
+
 344:
+
+345:         if utc_val == NPY_NAT:
+
    __pyx_t_5 = ((__pyx_v_utc_val == __pyx_v_6pandas_5_libs_6tslibs_7nattype_NPY_NAT) != 0);
+    if (__pyx_t_5) {
+/* … */
+      goto __pyx_L5;
+    }
+
+346:             res_val = NPY_NAT
+
      __pyx_v_res_val = __pyx_v_6pandas_5_libs_6tslibs_7nattype_NPY_NAT;
+
 347:         else:
+
+348:             local_val = info.utc_val_to_local_val(utc_val, &pos)
+
    /*else*/ {
+      __pyx_v_local_val = __pyx_f_6pandas_5_libs_6tslibs_10vectorized_9Localizer_utc_val_to_local_val(__pyx_v_info, __pyx_v_utc_val, (&__pyx_v_pos));
+
+349:             dt64_to_dtstruct(local_val, &dts)
+
      __pyx_f_6pandas_5_libs_6tslibs_11np_datetime_dt64_to_dtstruct(__pyx_v_local_val, (&__pyx_v_dts));
+
+350:             res_val = get_period_ordinal(&dts, freq)
+
      __pyx_v_res_val = __pyx_f_6pandas_5_libs_6tslibs_6period_get_period_ordinal((&__pyx_v_dts), __pyx_v_freq);
+    }
+    __pyx_L5:;
+
 351:
+
 352:         # Analogous to: result[i] = res_val
+
+353:         (<int64_t*>cnp.PyArray_MultiIter_DATA(mi, 0))[0] = res_val
+
    (((__pyx_t_5numpy_int64_t *)PyArray_MultiIter_DATA(__pyx_v_mi, 0))[0]) = __pyx_v_res_val;
+
 354:
+
+355:         cnp.PyArray_MultiIter_NEXT(mi)
+
    PyArray_MultiIter_NEXT(__pyx_v_mi);
+  }
+
 356:
+
+357:     return result
+
  __Pyx_XDECREF(__pyx_r);
+  __Pyx_INCREF(((PyObject *)__pyx_v_result));
+  __pyx_r = ((PyObject *)__pyx_v_result);
+  goto __pyx_L0;
+
diff --git a/pandas/_libs/tslibs/vectorized.pyx b/pandas/_libs/tslibs/vectorized.pyx index 585d6843be57c..740d3c1c2244d 100644 --- a/pandas/_libs/tslibs/vectorized.pyx +++ b/pandas/_libs/tslibs/vectorized.pyx @@ -95,7 +95,7 @@ cdef class Localizer: self.tdata = cnp.PyArray_DATA(self.trans) @cython.boundscheck(False) - cdef inline int64_t utc_val_to_local_val(self, int64_t utc_val, Py_ssize_t* pos): + cdef inline int64_t utc_val_to_local_val(self, int64_t utc_val, Py_ssize_t* pos) except? -1: if self.use_utc: return utc_val elif self.use_tzlocal: From 071a08226e4fd4c16b57ea94b42677b8785311de Mon Sep 17 00:00:00 2001 From: Brock Date: Mon, 25 Apr 2022 20:23:25 -0700 Subject: [PATCH 6/7] remove accidentally-committed --- pandas/_libs/tslibs/vectorized.html | 2257 --------------------------- 1 file changed, 2257 deletions(-) delete mode 100644 pandas/_libs/tslibs/vectorized.html diff --git a/pandas/_libs/tslibs/vectorized.html b/pandas/_libs/tslibs/vectorized.html deleted file mode 100644 index e4d45d5244235..0000000000000 --- a/pandas/_libs/tslibs/vectorized.html +++ /dev/null @@ -1,2257 +0,0 @@ - - - - - - Cython: vectorized.pyx - - - -

Generated by Cython 0.29.24

-

- Yellow lines hint at Python interaction.
- Click on a line that starts with a "+" to see the C code that Cython generated for it. -

-

Raw output: vectorized.c

-
+001: import cython
-
  __pyx_t_6 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_6)) __PYX_ERR(1, 1, __pyx_L1_error)
-  __Pyx_GOTREF(__pyx_t_6);
-  if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_6) < 0) __PYX_ERR(1, 1, __pyx_L1_error)
-  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
-
 002:
-
 003: from cpython.datetime cimport (
-
 004:     date,
-
 005:     datetime,
-
 006:     time,
-
 007:     tzinfo,
-
 008: )
-
 009:
-
+010: import numpy as np
-
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_numpy, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 10, __pyx_L1_error)
-  __Pyx_GOTREF(__pyx_t_1);
-  if (PyDict_SetItem(__pyx_d, __pyx_n_s_np, __pyx_t_1) < 0) __PYX_ERR(1, 10, __pyx_L1_error)
-  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
-
 011:
-
 012: cimport numpy as cnp
-
 013: from numpy cimport (
-
 014:     int64_t,
-
 015:     intp_t,
-
 016:     ndarray,
-
 017: )
-
 018:
-
+019: cnp.import_array()
-
  __pyx_t_2 = __pyx_f_5numpy_import_array(); if (unlikely(__pyx_t_2 == ((int)-1))) __PYX_ERR(1, 19, __pyx_L1_error)
-
 020:
-
+021: from .dtypes import Resolution
-
  __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 21, __pyx_L1_error)
-  __Pyx_GOTREF(__pyx_t_1);
-  __Pyx_INCREF(__pyx_n_s_Resolution);
-  __Pyx_GIVEREF(__pyx_n_s_Resolution);
-  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_Resolution);
-  __pyx_t_3 = __Pyx_Import(__pyx_n_s_dtypes, __pyx_t_1, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 21, __pyx_L1_error)
-  __Pyx_GOTREF(__pyx_t_3);
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-  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_3, __pyx_n_s_Resolution); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 21, __pyx_L1_error)
-  __Pyx_GOTREF(__pyx_t_1);
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-  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
-
 022:
-
 023: from .ccalendar cimport DAY_NANOS
-
 024: from .dtypes cimport c_Resolution
-
 025: from .nattype cimport (
-
 026:     NPY_NAT,
-
 027:     c_NaT as NaT,
-
 028: )
-
 029: from .np_datetime cimport (
-
 030:     dt64_to_dtstruct,
-
 031:     npy_datetimestruct,
-
 032: )
-
 033: from .offsets cimport BaseOffset
-
 034: from .period cimport get_period_ordinal
-
 035: from .timestamps cimport create_timestamp_from_ts
-
 036: from .timezones cimport (
-
 037:     get_dst_info,
-
 038:     is_tzlocal,
-
 039:     is_utc,
-
 040:     is_zoneinfo,
-
 041: )
-
 042: from .tzconversion cimport (
-
 043:     bisect_right_i8,
-
 044:     localize_tzinfo_api,
-
 045: )
-
 046:
-
 047:
-
+048: cdef const int64_t[::1] _deltas_placeholder = np.array([], dtype=np.int64)
-
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 049:
-
 050:
-
 051: @cython.freelist(16)
-
 052: @cython.internal
-
 053: @cython.final
-
+054: cdef class Localizer:
-
struct __pyx_obj_6pandas_5_libs_6tslibs_10vectorized_Localizer {
-  PyObject_HEAD
-  struct __pyx_vtabstruct_6pandas_5_libs_6tslibs_10vectorized_Localizer *__pyx_vtab;
-  PyDateTime_TZInfo *tz;
-  int use_utc;
-  int use_fixed;
-  int use_tzlocal;
-  int use_dst;
-  int use_pytz;
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-  Py_ssize_t ntrans;
-  __Pyx_memviewslice deltas;
-  __pyx_t_5numpy_int64_t delta;
-  __pyx_t_5numpy_int64_t *tdata;
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-/* … */
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-  __pyx_t_5numpy_int64_t (*utc_val_to_local_val)(struct __pyx_obj_6pandas_5_libs_6tslibs_10vectorized_Localizer *, __pyx_t_5numpy_int64_t, Py_ssize_t *);
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-
-
 055:     cdef:
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 056:         tzinfo tz
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 057:         bint use_utc, use_fixed, use_tzlocal, use_dst, use_pytz
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 058:         ndarray trans
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 059:         Py_ssize_t ntrans
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 060:         const int64_t[::1] deltas
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 061:         int64_t delta
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 062:         int64_t* tdata
-
 063:
-
 064:     @cython.initializedcheck(False)
-
 065:     @cython.boundscheck(False)
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+066:     def __cinit__(self, tzinfo tz):
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/* Python wrapper */
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 125:     Parameters
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 336:
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From 69a4ae215b28bbcf6a4ea24207a2dbeb88cd3e33 Mon Sep 17 00:00:00 2001 From: Brock Date: Tue, 26 Apr 2022 06:50:04 -0700 Subject: [PATCH 7/7] post-merge fixup --- pandas/_libs/tslibs/vectorized.pyx | 2 -- 1 file changed, 2 deletions(-) diff --git a/pandas/_libs/tslibs/vectorized.pyx b/pandas/_libs/tslibs/vectorized.pyx index 19bc0498dec0a..6b78100705a93 100644 --- a/pandas/_libs/tslibs/vectorized.pyx +++ b/pandas/_libs/tslibs/vectorized.pyx @@ -105,8 +105,6 @@ cdef class Localizer: pos[0] = bisect_right_i8(self.tdata, utc_val, self.ntrans) - 1 return utc_val + self.deltas[pos[0]] - self.tdata = cnp.PyArray_DATA(self.trans) - @cython.boundscheck(False) @cython.wraparound(False)