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
|
"""
Template for each `dtype` helper function using 1-d template
WARNING: DO NOT edit .pxi FILE directly, .pxi is generated from .pxi.in
"""
# ----------------------------------------------------------------------
# ensure_dtype
# ----------------------------------------------------------------------
def ensure_platform_int(object arr):
# GH3033, GH1392
# platform int is the size of the int pointer, e.g. np.intp
if util.is_array(arr):
if (<ndarray>arr).descr.type_num == cnp.NPY_INTP:
return arr
else:
# equiv: arr.astype(np.intp)
return cnp.PyArray_Cast(<ndarray>arr, cnp.NPY_INTP)
else:
return np.array(arr, dtype=np.intp)
def ensure_object(object arr):
if util.is_array(arr):
if (<ndarray>arr).descr.type_num == NPY_OBJECT:
return arr
else:
# equiv: arr.astype(object)
return cnp.PyArray_Cast(<ndarray>arr, NPY_OBJECT)
else:
return np.array(arr, dtype=np.object_)
{{py:
# name, c_type, dtype
dtypes = [('float64', 'FLOAT64', 'float64'),
# ('float32', 'FLOAT32', 'float32'), # disabling bc unused
('int8', 'INT8', 'int8'),
('int16', 'INT16', 'int16'),
('int32', 'INT32', 'int32'),
('int64', 'INT64', 'int64'),
('uint64', 'UINT64', 'uint64'),
# Disabling uint and complex dtypes because we do not use them
# (and compiling them increases wheel size) (except uint64)
# ('uint8', 'UINT8', 'uint8'),
# ('uint16', 'UINT16', 'uint16'),
# ('uint32', 'UINT32', 'uint32'),
# ('complex64', 'COMPLEX64', 'complex64'),
# ('complex128', 'COMPLEX128', 'complex128')
]
def get_dispatch(dtypes):
for name, c_type, dtype in dtypes:
yield name, c_type, dtype
}}
{{for name, c_type, dtype in get_dispatch(dtypes)}}
def ensure_{{name}}(object arr):
if util.is_array(arr):
if (<ndarray>arr).descr.type_num == NPY_{{c_type}}:
return arr
else:
# equiv: arr.astype(np.{{dtype}})
return cnp.PyArray_Cast(<ndarray>arr, cnp.NPY_{{c_type}})
else:
return np.asarray(arr, dtype=np.{{dtype}})
{{endfor}}
|
