forked from pandas-dev/pandas
-
Notifications
You must be signed in to change notification settings - Fork 3
/
Copy pathutil.pxd
228 lines (170 loc) · 5.21 KB
/
util.pxd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
from cpython.object cimport PyTypeObject
cdef extern from *:
"""
PyObject* char_to_string(const char* data) {
return PyUnicode_FromString(data);
}
"""
object char_to_string(const char* data)
cdef extern from "Python.h":
# Note: importing extern-style allows us to declare these as nogil
# functions, whereas `from cpython cimport` does not.
bint PyUnicode_Check(object obj) nogil
bint PyBool_Check(object obj) nogil
bint PyFloat_Check(object obj) nogil
bint PyComplex_Check(object obj) nogil
bint PyObject_TypeCheck(object obj, PyTypeObject* type) nogil
# Note that following functions can potentially raise an exception,
# thus they cannot be declared 'nogil'. Also PyUnicode_AsUTF8AndSize() can
# potentially allocate memory inside in unlikely case of when underlying
# unicode object was stored as non-utf8 and utf8 wasn't requested before.
const char* PyUnicode_AsUTF8AndSize(object obj,
Py_ssize_t* length) except NULL
from numpy cimport int64_t, float64_t
cdef extern from "numpy/arrayobject.h":
PyTypeObject PyFloatingArrType_Type
cdef extern from "numpy/ndarrayobject.h":
PyTypeObject PyTimedeltaArrType_Type
PyTypeObject PyDatetimeArrType_Type
PyTypeObject PyComplexFloatingArrType_Type
PyTypeObject PyBoolArrType_Type
bint PyArray_IsIntegerScalar(obj) nogil
bint PyArray_Check(obj) nogil
cdef extern from "numpy/npy_common.h":
int64_t NPY_MIN_INT64
cdef inline int64_t get_nat():
return NPY_MIN_INT64
# --------------------------------------------------------------------
# Type Checking
cdef inline bint is_integer_object(object obj) nogil:
"""
Cython equivalent of
`isinstance(val, (int, long, np.integer)) and not isinstance(val, bool)`
Parameters
----------
val : object
Returns
-------
is_integer : bool
Notes
-----
This counts np.timedelta64 objects as integers.
"""
return (not PyBool_Check(obj) and PyArray_IsIntegerScalar(obj)
and not is_timedelta64_object(obj))
cdef inline bint is_float_object(object obj) nogil:
"""
Cython equivalent of `isinstance(val, (float, np.complex_))`
Parameters
----------
val : object
Returns
-------
is_float : bool
"""
return (PyFloat_Check(obj) or
(PyObject_TypeCheck(obj, &PyFloatingArrType_Type)))
cdef inline bint is_complex_object(object obj) nogil:
"""
Cython equivalent of `isinstance(val, (complex, np.complex_))`
Parameters
----------
val : object
Returns
-------
is_complex : bool
"""
return (PyComplex_Check(obj) or
PyObject_TypeCheck(obj, &PyComplexFloatingArrType_Type))
cdef inline bint is_bool_object(object obj) nogil:
"""
Cython equivalent of `isinstance(val, (bool, np.bool_))`
Parameters
----------
val : object
Returns
-------
is_bool : bool
"""
return (PyBool_Check(obj) or
PyObject_TypeCheck(obj, &PyBoolArrType_Type))
cdef inline bint is_timedelta64_object(object obj) nogil:
"""
Cython equivalent of `isinstance(val, np.timedelta64)`
Parameters
----------
val : object
Returns
-------
is_timedelta64 : bool
"""
return PyObject_TypeCheck(obj, &PyTimedeltaArrType_Type)
cdef inline bint is_datetime64_object(object obj) nogil:
"""
Cython equivalent of `isinstance(val, np.datetime64)`
Parameters
----------
val : object
Returns
-------
is_datetime64 : bool
"""
return PyObject_TypeCheck(obj, &PyDatetimeArrType_Type)
cdef inline bint is_array(object val):
"""
Cython equivalent of `isinstance(val, np.ndarray)`
Parameters
----------
val : object
Returns
-------
is_ndarray : bool
"""
return PyArray_Check(val)
cdef inline bint is_offset_object(object val):
"""
Check if an object is a DateOffset object.
Parameters
----------
val : object
Returns
-------
is_date_offset : bool
"""
return getattr(val, '_typ', None) == "dateoffset"
cdef inline bint is_nan(object val):
"""
Check if val is a Not-A-Number float or complex, including
float('NaN') and np.nan.
Parameters
----------
val : object
Returns
-------
is_nan : bool
"""
cdef float64_t fval
if is_float_object(val):
fval = val
return fval != fval
return is_complex_object(val) and val != val
cdef inline const char* get_c_string_buf_and_size(str py_string,
Py_ssize_t *length) except NULL:
"""
Extract internal char* buffer of unicode or bytes object `py_string` with
getting length of this internal buffer saved in `length`.
Notes
-----
Python object owns memory, thus returned char* must not be freed.
`length` can be NULL if getting buffer length is not needed.
Parameters
----------
py_string : str
length : Py_ssize_t*
Returns
-------
buf : const char*
"""
return PyUnicode_AsUTF8AndSize(py_string, length)
cdef inline const char* get_c_string(str py_string) except NULL:
return get_c_string_buf_and_size(py_string, NULL)