Python numpy.half() Examples
The following are 30 code examples for showing how to use numpy.half(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
You may check out the related API usage on the sidebar.
You may also want to check out all available functions/classes of the module
numpy
, or try the search function
.
Example 1
| Project: recruit Author: Frank-qlu File: test_scalar_ctors.py License: Apache License 2.0 | 6 votes |
|
def test_floating_overflow(self):
""" Strings containing an unrepresentable float overflow """
fhalf = np.half('1e10000')
assert_equal(fhalf, np.inf)
fsingle = np.single('1e10000')
assert_equal(fsingle, np.inf)
fdouble = np.double('1e10000')
assert_equal(fdouble, np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '1e10000')
assert_equal(flongdouble, np.inf)
fhalf = np.half('-1e10000')
assert_equal(fhalf, -np.inf)
fsingle = np.single('-1e10000')
assert_equal(fsingle, -np.inf)
fdouble = np.double('-1e10000')
assert_equal(fdouble, -np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '-1e10000')
assert_equal(flongdouble, -np.inf)
Example 2
| Project: lambda-packs Author: ryfeus File: basic.py License: MIT License | 6 votes |
|
def _asfarray(x):
"""Like numpy asfarray, except that it does not modify x dtype if x is
already an array with a float dtype, and do not cast complex types to
real."""
if hasattr(x, "dtype") and x.dtype.char in numpy.typecodes["AllFloat"]:
# 'dtype' attribute does not ensure that the
# object is an ndarray (e.g. Series class
# from the pandas library)
if x.dtype == numpy.half:
# no half-precision routines, so convert to single precision
return numpy.asarray(x, dtype=numpy.float32)
return numpy.asarray(x, dtype=x.dtype)
else:
# We cannot use asfarray directly because it converts sequences of
# complex to sequence of real
ret = numpy.asarray(x)
if ret.dtype == numpy.half:
return numpy.asarray(ret, dtype=numpy.float32)
elif ret.dtype.char not in numpy.typecodes["AllFloat"]:
return numpy.asfarray(x)
return ret
Example 3
| Project: vnpy_crypto Author: birforce File: test_scalar_ctors.py License: MIT License | 6 votes |
|
def test_floating_overflow(self):
""" Strings containing an unrepresentable float overflow """
fhalf = np.half('1e10000')
assert_equal(fhalf, np.inf)
fsingle = np.single('1e10000')
assert_equal(fsingle, np.inf)
fdouble = np.double('1e10000')
assert_equal(fdouble, np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '1e10000')
assert_equal(flongdouble, np.inf)
fhalf = np.half('-1e10000')
assert_equal(fhalf, -np.inf)
fsingle = np.single('-1e10000')
assert_equal(fsingle, -np.inf)
fdouble = np.double('-1e10000')
assert_equal(fdouble, -np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '-1e10000')
assert_equal(flongdouble, -np.inf)
Example 4
| Project: Computable Author: ktraunmueller File: test_multiarray.py License: MIT License | 6 votes |
|
def test_roundtrip_half(self):
half_list = [
1.0,
-2.0,
6.5504 * 10**4, # (max half precision)
2**-14, # ~= 6.10352 * 10**-5 (minimum positive normal)
2**-24, # ~= 5.96046 * 10**-8 (minimum strictly positive subnormal)
0.0,
-0.0,
float('+inf'),
float('-inf'),
0.333251953125, # ~= 1/3
]
x = np.array(half_list, dtype='>e')
self._check_roundtrip(x)
x = np.array(half_list, dtype='<e')
self._check_roundtrip(x)
Example 5
| Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_scalar_ctors.py License: MIT License | 6 votes |
|
def test_floating_overflow(self):
""" Strings containing an unrepresentable float overflow """
fhalf = np.half('1e10000')
assert_equal(fhalf, np.inf)
fsingle = np.single('1e10000')
assert_equal(fsingle, np.inf)
fdouble = np.double('1e10000')
assert_equal(fdouble, np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '1e10000')
assert_equal(flongdouble, np.inf)
fhalf = np.half('-1e10000')
assert_equal(fhalf, -np.inf)
fsingle = np.single('-1e10000')
assert_equal(fsingle, -np.inf)
fdouble = np.double('-1e10000')
assert_equal(fdouble, -np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '-1e10000')
assert_equal(flongdouble, -np.inf)
Example 6
| Project: GraphicDesignPatternByPython Author: Relph1119 File: test_scalar_ctors.py License: MIT License | 6 votes |
|
def test_floating_overflow(self):
""" Strings containing an unrepresentable float overflow """
fhalf = np.half('1e10000')
assert_equal(fhalf, np.inf)
fsingle = np.single('1e10000')
assert_equal(fsingle, np.inf)
fdouble = np.double('1e10000')
assert_equal(fdouble, np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '1e10000')
assert_equal(flongdouble, np.inf)
fhalf = np.half('-1e10000')
assert_equal(fhalf, -np.inf)
fsingle = np.single('-1e10000')
assert_equal(fsingle, -np.inf)
fdouble = np.double('-1e10000')
assert_equal(fdouble, -np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '-1e10000')
assert_equal(flongdouble, -np.inf)
Example 7
| Project: GraphicDesignPatternByPython Author: Relph1119 File: basic.py License: MIT License | 6 votes |
|
def _asfarray(x):
"""Like numpy asfarray, except that it does not modify x dtype if x is
already an array with a float dtype, and do not cast complex types to
real."""
if hasattr(x, "dtype") and x.dtype.char in numpy.typecodes["AllFloat"]:
# 'dtype' attribute does not ensure that the
# object is an ndarray (e.g. Series class
# from the pandas library)
if x.dtype == numpy.half:
# no half-precision routines, so convert to single precision
return numpy.asarray(x, dtype=numpy.float32)
return numpy.asarray(x, dtype=x.dtype)
else:
# We cannot use asfarray directly because it converts sequences of
# complex to sequence of real
ret = numpy.asarray(x)
if ret.dtype == numpy.half:
return numpy.asarray(ret, dtype=numpy.float32)
elif ret.dtype.char not in numpy.typecodes["AllFloat"]:
return numpy.asfarray(x)
return ret
Example 8
| Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_scalar_ctors.py License: Apache License 2.0 | 6 votes |
|
def test_floating_overflow(self):
""" Strings containing an unrepresentable float overflow """
fhalf = np.half('1e10000')
assert_equal(fhalf, np.inf)
fsingle = np.single('1e10000')
assert_equal(fsingle, np.inf)
fdouble = np.double('1e10000')
assert_equal(fdouble, np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '1e10000')
assert_equal(flongdouble, np.inf)
fhalf = np.half('-1e10000')
assert_equal(fhalf, -np.inf)
fsingle = np.single('-1e10000')
assert_equal(fsingle, -np.inf)
fdouble = np.double('-1e10000')
assert_equal(fdouble, -np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '-1e10000')
assert_equal(flongdouble, -np.inf)
Example 9
| Project: pySINDy Author: luckystarufo File: test_scalar_ctors.py License: MIT License | 6 votes |
|
def test_floating_overflow(self):
""" Strings containing an unrepresentable float overflow """
fhalf = np.half('1e10000')
assert_equal(fhalf, np.inf)
fsingle = np.single('1e10000')
assert_equal(fsingle, np.inf)
fdouble = np.double('1e10000')
assert_equal(fdouble, np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '1e10000')
assert_equal(flongdouble, np.inf)
fhalf = np.half('-1e10000')
assert_equal(fhalf, -np.inf)
fsingle = np.single('-1e10000')
assert_equal(fsingle, -np.inf)
fdouble = np.double('-1e10000')
assert_equal(fdouble, -np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '-1e10000')
assert_equal(flongdouble, -np.inf)
Example 10
| Project: ImageFusion Author: pfchai File: test_multiarray.py License: MIT License | 6 votes |
|
def test_roundtrip_half(self):
half_list = [
1.0,
-2.0,
6.5504 * 10**4, # (max half precision)
2**-14, # ~= 6.10352 * 10**-5 (minimum positive normal)
2**-24, # ~= 5.96046 * 10**-8 (minimum strictly positive subnormal)
0.0,
-0.0,
float('+inf'),
float('-inf'),
0.333251953125, # ~= 1/3
]
x = np.array(half_list, dtype='>e')
self._check_roundtrip(x)
x = np.array(half_list, dtype='<e')
self._check_roundtrip(x)
Example 11
| Project: Splunking-Crime Author: nccgroup File: basic.py License: GNU Affero General Public License v3.0 | 6 votes |
|
def _asfarray(x):
"""Like numpy asfarray, except that it does not modify x dtype if x is
already an array with a float dtype, and do not cast complex types to
real."""
if hasattr(x, "dtype") and x.dtype.char in numpy.typecodes["AllFloat"]:
# 'dtype' attribute does not ensure that the
# object is an ndarray (e.g. Series class
# from the pandas library)
if x.dtype == numpy.half:
# no half-precision routines, so convert to single precision
return numpy.asarray(x, dtype=numpy.float32)
return numpy.asarray(x, dtype=x.dtype)
else:
# We cannot use asfarray directly because it converts sequences of
# complex to sequence of real
ret = numpy.asarray(x)
if ret.dtype == numpy.half:
return numpy.asarray(ret, dtype=numpy.float32)
elif ret.dtype.char not in numpy.typecodes["AllFloat"]:
return numpy.asfarray(x)
return ret
Example 12
| Project: coffeegrindsize Author: jgagneastro File: test_scalar_ctors.py License: MIT License | 6 votes |
|
def test_floating_overflow(self):
""" Strings containing an unrepresentable float overflow """
fhalf = np.half('1e10000')
assert_equal(fhalf, np.inf)
fsingle = np.single('1e10000')
assert_equal(fsingle, np.inf)
fdouble = np.double('1e10000')
assert_equal(fdouble, np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '1e10000')
assert_equal(flongdouble, np.inf)
fhalf = np.half('-1e10000')
assert_equal(fhalf, -np.inf)
fsingle = np.single('-1e10000')
assert_equal(fsingle, -np.inf)
fdouble = np.double('-1e10000')
assert_equal(fdouble, -np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '-1e10000')
assert_equal(flongdouble, -np.inf)
Example 13
| Project: Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda Author: PacktPublishing File: test_scalar_ctors.py License: MIT License | 6 votes |
|
def test_floating_overflow(self):
""" Strings containing an unrepresentable float overflow """
fhalf = np.half('1e10000')
assert_equal(fhalf, np.inf)
fsingle = np.single('1e10000')
assert_equal(fsingle, np.inf)
fdouble = np.double('1e10000')
assert_equal(fdouble, np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '1e10000')
assert_equal(flongdouble, np.inf)
fhalf = np.half('-1e10000')
assert_equal(fhalf, -np.inf)
fsingle = np.single('-1e10000')
assert_equal(fsingle, -np.inf)
fdouble = np.double('-1e10000')
assert_equal(fdouble, -np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '-1e10000')
assert_equal(flongdouble, -np.inf)
Example 14
| Project: twitter-stock-recommendation Author: alvarobartt File: test_scalar_ctors.py License: MIT License | 6 votes |
|
def test_floating_overflow(self):
""" Strings containing an unrepresentable float overflow """
fhalf = np.half('1e10000')
assert_equal(fhalf, np.inf)
fsingle = np.single('1e10000')
assert_equal(fsingle, np.inf)
fdouble = np.double('1e10000')
assert_equal(fdouble, np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '1e10000')
assert_equal(flongdouble, np.inf)
fhalf = np.half('-1e10000')
assert_equal(fhalf, -np.inf)
fsingle = np.single('-1e10000')
assert_equal(fsingle, -np.inf)
fdouble = np.double('-1e10000')
assert_equal(fdouble, -np.inf)
flongdouble = assert_warns(RuntimeWarning, np.longdouble, '-1e10000')
assert_equal(flongdouble, -np.inf)
Example 15
| Project: recruit Author: Frank-qlu File: test_histograms.py License: Apache License 2.0 | 5 votes |
|
def test_precision(self):
# not looping results in a useful stack trace upon failure
self.do_precision(np.half, np.single)
self.do_precision(np.half, np.double)
self.do_precision(np.half, np.longdouble)
self.do_precision(np.single, np.double)
self.do_precision(np.single, np.longdouble)
self.do_precision(np.double, np.longdouble)
Example 16
| Project: recruit Author: Frank-qlu File: test_getlimits.py License: Apache License 2.0 | 5 votes |
|
def test_singleton(self):
ftype = finfo(half)
ftype2 = finfo(half)
assert_equal(id(ftype), id(ftype2))
Example 17
| Project: auto-alt-text-lambda-api Author: abhisuri97 File: test_getlimits.py License: MIT License | 5 votes |
|
def test_singleton(self):
ftype = finfo(half)
ftype2 = finfo(half)
assert_equal(id(ftype), id(ftype2))
Example 18
| Project: pyeo Author: clcr File: terrain_correction.py License: GNU General Public License v3.0 | 5 votes |
|
def _generate_latlon_arrays(array, transformer, geotransform):
def generate_latlon_for_here(x, y):
return generate_latlon(x, y, geotransform, transformer)
# The crude way. Ask someone if it is doable.
top_lat, left_lon = generate_latlon_for_here(0,0)
bottom_lat, right_lon = generate_latlon_for_here(array.shape[0]-1, array.shape[1]-1)
lat_list = np.linspace(top_lat, bottom_lat, array.shape[1], dtype=np.half)
lon_list = np.linspace(left_lon, right_lon, array.shape[0], dtype=np.half)
lat_array = np.stack([lat_list]*array.shape[0])
lon_array = np.stack([lon_list]*array.shape[1]).T
return lat_array, lon_array
Example 19
| Project: pyeo Author: clcr File: terrain_correction.py License: GNU General Public License v3.0 | 5 votes |
|
def calc_azimuth_array(lat_array, lon_array, raster_datetime):
def calc_azimuth_for_datetime(lat, lon):
return solar.get_azimuth_fast(lat, lon, raster_datetime).astype(np.dtype(np.half))
return np.array(list(map(calc_azimuth_for_datetime, lat_array, lon_array)))
Example 20
| Project: vnpy_crypto Author: birforce File: test_getlimits.py License: MIT License | 5 votes |
|
def test_singleton(self):
ftype = finfo(half)
ftype2 = finfo(half)
assert_equal(id(ftype), id(ftype2))
Example 21
| Project: Computable Author: ktraunmueller File: test_multiarray.py License: MIT License | 5 votes |
|
def test_export_record(self):
dt = [('a', 'b'),
('b', 'h'),
('c', 'i'),
('d', 'l'),
('dx', 'q'),
('e', 'B'),
('f', 'H'),
('g', 'I'),
('h', 'L'),
('hx', 'Q'),
('i', np.single),
('j', np.double),
('k', np.longdouble),
('ix', np.csingle),
('jx', np.cdouble),
('kx', np.clongdouble),
('l', 'S4'),
('m', 'U4'),
('n', 'V3'),
('o', '?'),
('p', np.half),
]
x = np.array(
[(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
asbytes('aaaa'), 'bbbb', asbytes(' '), True, 1.0)],
dtype=dt)
y = memoryview(x)
assert_equal(y.shape, (1,))
assert_equal(y.ndim, 1)
assert_equal(y.suboffsets, EMPTY)
sz = sum([dtype(b).itemsize for a, b in dt])
if dtype('l').itemsize == 4:
assert_equal(y.format, 'T{b:a:=h:b:i:c:l:d:^q:dx:B:e:@H:f:=I:g:L:h:^Q:hx:=f:i:d:j:^g:k:=Zf:ix:Zd:jx:^Zg:kx:4s:l:=4w:m:3x:n:?:o:@e:p:}')
else:
assert_equal(y.format, 'T{b:a:=h:b:i:c:q:d:^q:dx:B:e:@H:f:=I:g:Q:h:^Q:hx:=f:i:d:j:^g:k:=Zf:ix:Zd:jx:^Zg:kx:4s:l:=4w:m:3x:n:?:o:@e:p:}')
# Cannot test if NPY_RELAXED_STRIDES_CHECKING changes the strides
if not (np.ones(1).strides[0] == np.iinfo(np.intp).max):
assert_equal(y.strides, (sz,))
assert_equal(y.itemsize, sz)
Example 22
| Project: Computable Author: ktraunmueller File: test_getlimits.py License: MIT License | 5 votes |
|
def test_singleton(self):
ftype = finfo(half)
ftype2 = finfo(half)
assert_equal(id(ftype), id(ftype2))
Example 23
| Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_histograms.py License: MIT License | 5 votes |
|
def test_precision(self):
# not looping results in a useful stack trace upon failure
self.do_precision(np.half, np.single)
self.do_precision(np.half, np.double)
self.do_precision(np.half, np.longdouble)
self.do_precision(np.single, np.double)
self.do_precision(np.single, np.longdouble)
self.do_precision(np.double, np.longdouble)
Example 24
| Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_getlimits.py License: MIT License | 5 votes |
|
def test_singleton(self):
ftype = finfo(half)
ftype2 = finfo(half)
assert_equal(id(ftype), id(ftype2))
Example 25
| Project: GraphicDesignPatternByPython Author: Relph1119 File: test_histograms.py License: MIT License | 5 votes |
|
def test_precision(self):
# not looping results in a useful stack trace upon failure
self.do_precision(np.half, np.single)
self.do_precision(np.half, np.double)
self.do_precision(np.half, np.longdouble)
self.do_precision(np.single, np.double)
self.do_precision(np.single, np.longdouble)
self.do_precision(np.double, np.longdouble)
Example 26
| Project: GraphicDesignPatternByPython Author: Relph1119 File: test_getlimits.py License: MIT License | 5 votes |
|
def test_singleton(self):
ftype = finfo(half)
ftype2 = finfo(half)
assert_equal(id(ftype), id(ftype2))
Example 27
| Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_histograms.py License: Apache License 2.0 | 5 votes |
|
def test_precision(self):
# not looping results in a useful stack trace upon failure
self.do_precision(np.half, np.single)
self.do_precision(np.half, np.double)
self.do_precision(np.half, np.longdouble)
self.do_precision(np.single, np.double)
self.do_precision(np.single, np.longdouble)
self.do_precision(np.double, np.longdouble)
Example 28
| Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_getlimits.py License: Apache License 2.0 | 5 votes |
|
def test_singleton(self):
ftype = finfo(half)
ftype2 = finfo(half)
assert_equal(id(ftype), id(ftype2))
Example 29
| Project: pySINDy Author: luckystarufo File: test_histograms.py License: MIT License | 5 votes |
|
def test_precision(self):
# not looping results in a useful stack trace upon failure
self.do_precision(np.half, np.single)
self.do_precision(np.half, np.double)
self.do_precision(np.half, np.longdouble)
self.do_precision(np.single, np.double)
self.do_precision(np.single, np.longdouble)
self.do_precision(np.double, np.longdouble)
Example 30
| Project: pySINDy Author: luckystarufo File: test_getlimits.py License: MIT License | 5 votes |
|
def test_singleton(self):
ftype = finfo(half)
ftype2 = finfo(half)
assert_equal(id(ftype), id(ftype2))
