GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — python-graphblas/graphblas/binary/numpy.py at main · python-graphblas/python-graphblas

Expand file tree

/

numpy.py

Copy path
More file actions
More file actions

Latest commit

 

History

History
History
194 lines (180 loc) · 5.25 KB
/

numpy.py

Copy path

File metadata and controls

194 lines (180 loc) · 5.25 KB
Raw
Copy raw file
Download raw file
Open symbols panel
Edit and raw actions
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
"""Create UDFs of numpy functions supported by numba.
See list of numpy ufuncs supported by numpy here:
https://numba.readthedocs.io/en/stable/reference/numpysupported.html#math-operations
"""
import numpy as _np
from .. import _STANDARD_OPERATOR_NAMES
from .. import binary as _binary
from .. import config as _config
from ..core import _supports_udfs
_delayed = {}
_binary_names = {
# Math operations
"add",
"subtract",
"multiply",
"divide",
"logaddexp",
"logaddexp2",
"true_divide",
"floor_divide",
"power",
"float_power",
"remainder",
"mod",
"fmod",
"gcd",
"lcm",
# Trigonometric functions
"arctan2",
"hypot",
# Bit-twiddling functions
"bitwise_and",
"bitwise_or",
"bitwise_xor",
"left_shift",
"right_shift",
# Comparison functions
"greater",
"greater_equal",
"less",
"less_equal",
"not_equal",
"equal",
"logical_and",
"logical_or",
"logical_xor",
"maximum",
"minimum",
"fmax",
"fmin",
# Floating functions
"copysign",
"nextafter",
"ldexp",
# Misc.
# "around", # <non-bool>_<int> -> <non-bool>
}
_STANDARD_OPERATOR_NAMES.update(f"binary.numpy.{name}" for name in _binary_names)
__all__ = list(_binary_names)
_numpy_to_graphblas = {
# Monoids
"add": "plus",
"bitwise_and": "band",
"bitwise_or": "bor",
"bitwise_xor": "bxor",
"equal": "eq",
"fmax": "max", # ignores nan
"fmin": "min", # ignores nan
"logical_and": "land",
"logical_or": "lor",
"logical_xor": "lxor",
"multiply": "times",
# Other
"arctan2": "atan2",
"copysign": "copysign",
"divide": "truediv",
# "floor_divide": "floordiv", # floor_divide does not cast to int, but floordiv does
# "fmod": "fmod", # not the same!
"greater": "gt",
"greater_equal": "ge",
"ldexp": "ldexp",
"less": "lt",
"less_equal": "le",
# "mod": "remainder", # not the same!
"not_equal": "ne",
"power": "pow",
"float_power": None, # uses pow with everything coerced to float64 (constructed below)
# "remainder": "remainder", # not the same!
"subtract": "minus",
"true_divide": "truediv",
}
# _graphblas_to_numpy = {val: key for key, val in _numpy_to_graphblas.items()} # Soon...
# Not included: maximum, minimum, gcd, hypot, logaddexp, logaddexp2
# lcm, left_shift, nextafter, right_shift
_commutative = {
"add",
"bitwise_and",
"bitwise_or",
"bitwise_xor",
"equal",
"fmax",
"fmin",
"gcd",
"hypot",
"lcm",
"logaddexp",
"logaddexp2",
"logical_and",
"logical_or",
"logical_xor",
"maximum",
"minimum",
"multiply",
"not_equal",
}
_commutes_to = {
"greater": "less",
"greater_equal": "less_equal",
"less": "greater",
"less_equal": "greater_equal",
}
# Don't commute: arctan2, around, copysign, divide, floor_divide, fmod, ldexp,
# left_shift, mod, nextafter, power, remainder, right_shift, subtract, true_divide.
# If desired, we could create r-versions of these so they can commute to something.
def __dir__():
if not _supports_udfs and not _config["mapnumpy"]:
# float_power is special: it's constructed from builtin operators
return globals().keys() | {"float_power"} # FLAKY COVERAGE
attrs = _delayed.keys() | _binary_names
if not _supports_udfs:
attrs &= _numpy_to_graphblas.keys()
return attrs | globals().keys()
def __getattr__(name):
if name in _delayed:
delayed_func, kwargs = _delayed.pop(name)
rv = delayed_func(**kwargs)
globals()[name] = rv
return rv
if name not in _binary_names:
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
if _config.get("mapnumpy") and name in _numpy_to_graphblas or name == "float_power":
if name == "float_power":
from ..core.operator import binary
from ..dtypes import FP64
new_op = binary.BinaryOp(f"numpy.{name}")
builtin_op = _binary.pow
for dtype in builtin_op.types:
if dtype.name in {"FP32", "FC32", "FC64"}:
orig_dtype = dtype
else:
orig_dtype = FP64
orig_op = builtin_op[orig_dtype]
cur_op = binary.TypedBuiltinBinaryOp(
new_op,
new_op.name,
dtype,
builtin_op.types[orig_dtype],
orig_op.gb_obj,
orig_op.gb_name,
)
new_op._add(cur_op)
globals()[name] = new_op
else:
globals()[name] = getattr(_binary, _numpy_to_graphblas[name])
elif not _supports_udfs:
raise AttributeError(
f"module {__name__!r} unable to compile UDF for {name!r}; "
"install numba for UDF support"
)
else:
numpy_func = getattr(_np, name)
def func(x, y): # pragma: no cover (numba)
return numpy_func(x, y)
_binary.register_new(f"numpy.{name}", func)
rv = globals()[name]
if name in _commutative:
rv._commutes_to = rv
elif name in _commutes_to and rv._commutes_to is None:
rv._commutes_to = f"numpy.{_commutes_to[name]}"
return rv
You are visitor 01402520 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.