implement tslibs/src to make tslibs self-contained (pandas-dev#22152)

pandas/_libs/src/ujson/python/objToJSON.c

@@ -47,8 +47,8 @@ Numeric decoder derived from from TCL library
 #include <numpy/npy_math.h>       // NOLINT(build/include_order)
 #include <stdio.h>                // NOLINT(build/include_order)
 #include <ultrajson.h>            // NOLINT(build/include_order)
-#include <np_datetime.h>          // NOLINT(build/include_order)
-#include <np_datetime_strings.h>  // NOLINT(build/include_order)
+#include <../../../tslibs/src/datetime/np_datetime.h>          // NOLINT(build/include_order)
+#include <../../../tslibs/src/datetime/np_datetime_strings.h>  // NOLINT(build/include_order)
 #include "datetime.h"
 
 static PyObject *type_decimal;

pandas/_libs/src/datetime/np_datetime.c → pandas/_libs/tslibs/src/datetime/np_datetime.c

@@ -16,6 +16,10 @@ This file is derived from NumPy 1.7. See NUMPY_LICENSE.txt
 
 #define NO_IMPORT
 
+#ifndef NPY_NO_DEPRECATED_API
+#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
+#endif
+
 #include <Python.h>
 #include <datetime.h>
 

pandas/_libs/src/datetime/np_datetime.h → pandas/_libs/tslibs/src/datetime/np_datetime.h

@@ -17,6 +17,10 @@ This file is derived from NumPy 1.7. See NUMPY_LICENSE.txt
 #ifndef PANDAS__LIBS_SRC_DATETIME_NP_DATETIME_H_
 #define PANDAS__LIBS_SRC_DATETIME_NP_DATETIME_H_
 
+#ifndef NPY_NO_DEPRECATED_API
+#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
+#endif
+
 #include <numpy/ndarraytypes.h>
 #include <datetime.h>
 

pandas/_libs/src/datetime/np_datetime_strings.c → pandas/_libs/tslibs/src/datetime/np_datetime_strings.c

@@ -22,6 +22,10 @@ This file implements string parsing and creation for NumPy datetime.
 #define PY_SSIZE_T_CLEAN
 #define NO_IMPORT
 
+#ifndef NPY_NO_DEPRECATED_API
+#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
+#endif
+
 #include <Python.h>
 
 #include <time.h>

pandas/_libs/src/datetime/np_datetime_strings.h → pandas/_libs/tslibs/src/datetime/np_datetime_strings.h

@@ -22,6 +22,10 @@ This file implements string parsing and creation for NumPy datetime.
 #ifndef PANDAS__LIBS_SRC_DATETIME_NP_DATETIME_STRINGS_H_
 #define PANDAS__LIBS_SRC_DATETIME_NP_DATETIME_STRINGS_H_
 
+#ifndef NPY_NO_DEPRECATED_API
+#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
+#endif
+
 /*
  * Parses (almost) standard ISO 8601 date strings. The differences are:
  *

pandas/_libs/src/period_helper.c → pandas/_libs/tslibs/src/period_helper.c

@@ -13,8 +13,12 @@ frequency conversion routines.
 See end of file for stuff pandas uses (search for 'pandas').
 */
 
+#ifndef NPY_NO_DEPRECATED_API
+#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
+#endif
+
 #include "period_helper.h"
-#include "../datetime/np_datetime.h"
+#include "datetime/np_datetime.h"
 
 /* ------------------------------------------------------------------
  * Code derived from scikits.timeseries
@@ -79,9 +83,9 @@ static npy_int64 daytime_conversion_factor_matrix[7][7] = {
 
 int max_value(int a, int b) { return a > b ? a : b; }
 
-PANDAS_INLINE int min_value(int a, int b) { return a < b ? a : b; }
+static int min_value(int a, int b) { return a < b ? a : b; }
 
-PANDAS_INLINE int get_freq_group(int freq) { return (freq / 1000) * 1000; }
+static int get_freq_group(int freq) { return (freq / 1000) * 1000; }
 
 
 npy_int64 get_daytime_conversion_factor(int from_index, int to_index) {
@@ -97,24 +101,22 @@ npy_int64 get_daytime_conversion_factor(int from_index, int to_index) {
     return daytime_conversion_factor_matrix[row - 6][col - 6];
 }
 
-PANDAS_INLINE npy_int64 upsample_daytime(npy_int64 ordinal,
-                                         asfreq_info *af_info) {
+static npy_int64 upsample_daytime(npy_int64 ordinal, asfreq_info *af_info) {
     if (af_info->is_end) {
         return (ordinal + 1) * af_info->intraday_conversion_factor - 1;
     } else {
         return ordinal * af_info->intraday_conversion_factor;
     }
 }
 
-PANDAS_INLINE npy_int64 downsample_daytime(npy_int64 ordinal,
-                                           asfreq_info *af_info) {
+static npy_int64 downsample_daytime(npy_int64 ordinal, asfreq_info *af_info) {
     return ordinal / (af_info->intraday_conversion_factor);
 }
 
-PANDAS_INLINE npy_int64 transform_via_day(npy_int64 ordinal,
-                                          asfreq_info *af_info,
-                                          freq_conv_func first_func,
-                                          freq_conv_func second_func) {
+static npy_int64 transform_via_day(npy_int64 ordinal,
+                                   asfreq_info *af_info,
+                                   freq_conv_func first_func,
+                                   freq_conv_func second_func) {
     npy_int64 result;
 
     result = (*first_func)(ordinal, af_info);

pandas/_libs/src/period_helper.h → pandas/_libs/tslibs/src/period_helper.h

@@ -14,9 +14,11 @@ frequency conversion routines.
 #ifndef PANDAS__LIBS_SRC_PERIOD_HELPER_H_
 #define PANDAS__LIBS_SRC_PERIOD_HELPER_H_
 
+#ifndef NPY_NO_DEPRECATED_API
+#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION
+#endif
+
 #include <Python.h>
-#include "headers/stdint.h"
-#include "helper.h"
 #include "limits.h"
 #include "numpy/ndarraytypes.h"
 
@@ -74,7 +76,7 @@ frequency conversion routines.
 
 #define FR_UND -10000 /* Undefined */
 
-#define INT_ERR_CODE INT32_MIN
+#define INT_ERR_CODE NPY_MIN_INT32
 
 typedef struct asfreq_info {
     int is_end;

setup.py

@@ -226,15 +226,15 @@ def initialize_options(self):
         self._clean_trees = []
 
         base = pjoin('pandas', '_libs', 'src')
-        dt = pjoin(base, 'datetime')
-        src = base
+        tsbase = pjoin('pandas', '_libs', 'tslibs', 'src')
+        dt = pjoin(tsbase, 'datetime')
         util = pjoin('pandas', 'util')
         parser = pjoin(base, 'parser')
         ujson_python = pjoin(base, 'ujson', 'python')
         ujson_lib = pjoin(base, 'ujson', 'lib')
         self._clean_exclude = [pjoin(dt, 'np_datetime.c'),
                                pjoin(dt, 'np_datetime_strings.c'),
-                               pjoin(src, 'period_helper.c'),
+                               pjoin(tsbase, 'period_helper.c'),
                                pjoin(parser, 'tokenizer.c'),
                                pjoin(parser, 'io.c'),
                                pjoin(ujson_python, 'ujson.c'),
@@ -498,16 +498,19 @@ def srcpath(name=None, suffix='.pyx', subdir='src'):
     lib_depends = []
 
 common_include = ['pandas/_libs/src/klib', 'pandas/_libs/src']
+ts_include = ['pandas/_libs/tslibs/src']
 
 
 lib_depends = lib_depends + ['pandas/_libs/src/numpy_helper.h',
                              'pandas/_libs/src/parse_helper.h',
                              'pandas/_libs/src/compat_helper.h']
 
-np_datetime_headers = ['pandas/_libs/src/datetime/np_datetime.h',
-                       'pandas/_libs/src/datetime/np_datetime_strings.h']
-np_datetime_sources = ['pandas/_libs/src/datetime/np_datetime.c',
-                       'pandas/_libs/src/datetime/np_datetime_strings.c']
+np_datetime_headers = [
+    'pandas/_libs/tslibs/src/datetime/np_datetime.h',
+    'pandas/_libs/tslibs/src/datetime/np_datetime_strings.h']
+np_datetime_sources = [
+    'pandas/_libs/tslibs/src/datetime/np_datetime.c',
+    'pandas/_libs/tslibs/src/datetime/np_datetime_strings.c']
 
 tseries_depends = np_datetime_headers
 
@@ -520,13 +523,16 @@ def srcpath(name=None, suffix='.pyx', subdir='src'):
         'pyxfile': '_libs/groupby',
         'depends': _pxi_dep['groupby']},
     '_libs.hashing': {
-        'pyxfile': '_libs/hashing'},
+        'pyxfile': '_libs/hashing',
+        'include': [],
+        'depends': []},
     '_libs.hashtable': {
         'pyxfile': '_libs/hashtable',
         'depends': (['pandas/_libs/src/klib/khash_python.h'] +
                     _pxi_dep['hashtable'])},
     '_libs.index': {
         'pyxfile': '_libs/index',
+        'include': common_include + ts_include,
         'depends': _pxi_dep['index'],
         'sources': np_datetime_sources},
     '_libs.indexing': {
@@ -541,9 +547,11 @@ def srcpath(name=None, suffix='.pyx', subdir='src'):
         'depends': _pxi_dep['join']},
     '_libs.lib': {
         'pyxfile': '_libs/lib',
+        'include': common_include + ts_include,
         'depends': lib_depends + tseries_depends},
     '_libs.missing': {
         'pyxfile': '_libs/missing',
+        'include': common_include + ts_include,
         'depends': tseries_depends},
     '_libs.parsers': {
         'pyxfile': '_libs/parsers',
@@ -570,54 +578,71 @@ def srcpath(name=None, suffix='.pyx', subdir='src'):
         'depends': _pxi_dep['sparse']},
     '_libs.tslib': {
         'pyxfile': '_libs/tslib',
+        'include': ts_include,
         'depends': tseries_depends,
         'sources': np_datetime_sources},
     '_libs.tslibs.ccalendar': {
-        'pyxfile': '_libs/tslibs/ccalendar'},
+        'pyxfile': '_libs/tslibs/ccalendar',
+        'include': []},
     '_libs.tslibs.conversion': {
         'pyxfile': '_libs/tslibs/conversion',
+        'include': ts_include,
         'depends': tseries_depends,
         'sources': np_datetime_sources},
     '_libs.tslibs.fields': {
         'pyxfile': '_libs/tslibs/fields',
+        'include': ts_include,
         'depends': tseries_depends,
         'sources': np_datetime_sources},
     '_libs.tslibs.frequencies': {
-        'pyxfile': '_libs/tslibs/frequencies'},
+        'pyxfile': '_libs/tslibs/frequencies',
+        'include': []},
     '_libs.tslibs.nattype': {
-        'pyxfile': '_libs/tslibs/nattype'},
+        'pyxfile': '_libs/tslibs/nattype',
+        'include': []},
     '_libs.tslibs.np_datetime': {
         'pyxfile': '_libs/tslibs/np_datetime',
+        'include': ts_include,
         'depends': np_datetime_headers,
         'sources': np_datetime_sources},
     '_libs.tslibs.offsets': {
         'pyxfile': '_libs/tslibs/offsets',
+        'include': ts_include,
         'depends': tseries_depends,
         'sources': np_datetime_sources},
     '_libs.tslibs.parsing': {
-        'pyxfile': '_libs/tslibs/parsing'},
+        'pyxfile': '_libs/tslibs/parsing',
+        'include': []},
     '_libs.tslibs.period': {
         'pyxfile': '_libs/tslibs/period',
-        'depends': tseries_depends + ['pandas/_libs/src/period_helper.h'],
-        'sources': np_datetime_sources + ['pandas/_libs/src/period_helper.c']},
+        'include': ts_include,
+        'depends': tseries_depends + [
+            'pandas/_libs/tslibs/src/period_helper.h'],
+        'sources': np_datetime_sources + [
+            'pandas/_libs/tslibs/src/period_helper.c']},
     '_libs.tslibs.resolution': {
         'pyxfile': '_libs/tslibs/resolution',
+        'include': ts_include,
         'depends': tseries_depends,
         'sources': np_datetime_sources},
     '_libs.tslibs.strptime': {
         'pyxfile': '_libs/tslibs/strptime',
+        'include': ts_include,
         'depends': tseries_depends,
         'sources': np_datetime_sources},
     '_libs.tslibs.timedeltas': {
         'pyxfile': '_libs/tslibs/timedeltas',
+        'include': ts_include,
         'depends': np_datetime_headers,
         'sources': np_datetime_sources},
     '_libs.tslibs.timestamps': {
         'pyxfile': '_libs/tslibs/timestamps',
+        'include': ts_include,
         'depends': tseries_depends,
         'sources': np_datetime_sources},
     '_libs.tslibs.timezones': {
-        'pyxfile': '_libs/tslibs/timezones'},
+        'pyxfile': '_libs/tslibs/timezones',
+        'include': []},
     '_libs.testing': {
         'pyxfile': '_libs/testing'},
     '_libs.window': {