The following are code examples for showing how to use . They are extracted from open source Python projects. You can vote up the examples you like or vote down the exmaples you don’t like. You can also save this page to your account.
Example 1
def createRFmask(self):
center_row = int(self.newSimulation.Params['N']/2.0)
center_col = int(self.newSimulation.Params['N']/2.0)
for cell in np.arange(self.newSimulation.Params['N']*self.newSimulation.Params['N']):
row = int(cell/self.newSimulation.Params['N'])
col = np.remainder(cell,self.newSimulation.Params['N'])
if(row >= center_row - self.mask_side and row<= center_row + self.mask_side and
col >= center_col - self.mask_side and col<= center_col + self.mask_side):
self.RF_mask.append([row,col])
# print ("self.RF_mask = ",self.RF_mask)
# Create input stimulus and simulate photoreceptors' response Example 2
def test_remainder_basic(self):
dt = np.typecodes['AllInteger'] + np.typecodes['Float']
for dt1, dt2 in itertools.product(dt, dt):
for sg1, sg2 in itertools.product((+1, -1), (+1, -1)):
if sg1 == -1 and dt1 in np.typecodes['UnsignedInteger']:
continue
if sg2 == -1 and dt2 in np.typecodes['UnsignedInteger']:
continue
fmt = 'dt1: %s, dt2: %s, sg1: %s, sg2: %s'
msg = fmt % (dt1, dt2, sg1, sg2)
a = np.array(sg1*71, dtype=dt1)
b = np.array(sg2*19, dtype=dt2)
div = np.floor_divide(a, b)
rem = np.remainder(a, b)
assert_equal(div*b + rem, a, err_msg=msg)
if sg2 == -1:
assert_(b < rem <= 0, msg)
else:
assert_(b > rem >= 0, msg) Example 3
def test_float_remainder_exact(self):
# test that float results are exact for small integers. This also
# holds for the same integers scaled by powers of two.
nlst = list(range(-127, 0))
plst = list(range(1, 128))
dividend = nlst + [0] + plst
divisor = nlst + plst
arg = list(itertools.product(dividend, divisor))
tgt = list(divmod(*t) for t in arg)
a, b = np.array(arg, dtype=int).T
# convert exact integer results from Python to float so that
# signed zero can be used, it is checked.
tgtdiv, tgtrem = np.array(tgt, dtype=float).T
tgtdiv = np.where((tgtdiv == 0.0) & ((b < 0) ^ (a < 0)), -0.0, tgtdiv)
tgtrem = np.where((tgtrem == 0.0) & (b < 0), -0.0, tgtrem)
for dt in np.typecodes['Float']:
msg = 'dtype: %s' % (dt,)
fa = a.astype(dt)
fb = b.astype(dt)
div = np.floor_divide(fa, fb)
rem = np.remainder(fa, fb)
assert_equal(div, tgtdiv, err_msg=msg)
assert_equal(rem, tgtrem, err_msg=msg) Example 4
def test_float_remainder_roundoff(self):
# gh-6127
dt = np.typecodes['Float']
for dt1, dt2 in itertools.product(dt, dt):
for sg1, sg2 in itertools.product((+1, -1), (+1, -1)):
fmt = 'dt1: %s, dt2: %s, sg1: %s, sg2: %s'
msg = fmt % (dt1, dt2, sg1, sg2)
a = np.array(sg1*78*6e-8, dtype=dt1)
b = np.array(sg2*6e-8, dtype=dt2)
div = np.floor_divide(a, b)
rem = np.remainder(a, b)
# Equal assertion should hold when fmod is used
assert_equal(div*b + rem, a, err_msg=msg)
if sg2 == -1:
assert_(b < rem <= 0, msg)
else:
assert_(b > rem >= 0, msg) Example 5
def one_melody_matrix(track_id):
tchr, chroma, t, melody = aligned_pitch_features(track_id)
melody = np.round(melody)
pitched = melody > 0
pitchclass = np.remainder(melody - 69, 12)
framerate = 1.0/(t[1]-t[0])
nmel = len(melody)
vals = np.ones(nmel)[pitched]
vals *= 1.0 / framerate
rows = np.arange(nmel)[pitched]
cols = pitchclass[pitched]
melmat = csr_matrix((vals, (rows, cols)), shape=(nmel, 12))
return t, melmat.todense() Example 6
def test_remainder_basic(self):
dt = np.typecodes['AllInteger'] + np.typecodes['Float']
for dt1, dt2 in itertools.product(dt, dt):
for sg1, sg2 in itertools.product((+1, -1), (+1, -1)):
if sg1 == -1 and dt1 in np.typecodes['UnsignedInteger']:
continue
if sg2 == -1 and dt2 in np.typecodes['UnsignedInteger']:
continue
fmt = 'dt1: %s, dt2: %s, sg1: %s, sg2: %s'
msg = fmt % (dt1, dt2, sg1, sg2)
a = np.array(sg1*71, dtype=dt1)
b = np.array(sg2*19, dtype=dt2)
div = np.floor_divide(a, b)
rem = np.remainder(a, b)
assert_equal(div*b + rem, a, err_msg=msg)
if sg2 == -1:
assert_(b < rem <= 0, msg)
else:
assert_(b > rem >= 0, msg) Example 7
def test_float_remainder_exact(self):
# test that float results are exact for small integers. This also
# holds for the same integers scaled by powers of two.
nlst = list(range(-127, 0))
plst = list(range(1, 128))
dividend = nlst + [0] + plst
divisor = nlst + plst
arg = list(itertools.product(dividend, divisor))
tgt = list(divmod(*t) for t in arg)
a, b = np.array(arg, dtype=int).T
# convert exact integer results from Python to float so that
# signed zero can be used, it is checked.
tgtdiv, tgtrem = np.array(tgt, dtype=float).T
tgtdiv = np.where((tgtdiv == 0.0) & ((b < 0) ^ (a < 0)), -0.0, tgtdiv)
tgtrem = np.where((tgtrem == 0.0) & (b < 0), -0.0, tgtrem)
for dt in np.typecodes['Float']:
msg = 'dtype: %s' % (dt,)
fa = a.astype(dt)
fb = b.astype(dt)
div = np.floor_divide(fa, fb)
rem = np.remainder(fa, fb)
assert_equal(div, tgtdiv, err_msg=msg)
assert_equal(rem, tgtrem, err_msg=msg) Example 8
def test_float_remainder_roundoff(self):
# gh-6127
dt = np.typecodes['Float']
for dt1, dt2 in itertools.product(dt, dt):
for sg1, sg2 in itertools.product((+1, -1), (+1, -1)):
fmt = 'dt1: %s, dt2: %s, sg1: %s, sg2: %s'
msg = fmt % (dt1, dt2, sg1, sg2)
a = np.array(sg1*78*6e-8, dtype=dt1)
b = np.array(sg2*6e-8, dtype=dt2)
div = np.floor_divide(a, b)
rem = np.remainder(a, b)
# Equal assertion should hold when fmod is used
assert_equal(div*b + rem, a, err_msg=msg)
if sg2 == -1:
assert_(b < rem <= 0, msg)
else:
assert_(b > rem >= 0, msg) Example 9
def test_remainder_basic(self):
dt = np.typecodes['AllInteger'] + np.typecodes['Float']
for dt1, dt2 in itertools.product(dt, dt):
for sg1, sg2 in itertools.product((+1, -1), (+1, -1)):
if sg1 == -1 and dt1 in np.typecodes['UnsignedInteger']:
continue
if sg2 == -1 and dt2 in np.typecodes['UnsignedInteger']:
continue
fmt = 'dt1: %s, dt2: %s, sg1: %s, sg2: %s'
msg = fmt % (dt1, dt2, sg1, sg2)
a = np.array(sg1*71, dtype=dt1)
b = np.array(sg2*19, dtype=dt2)
div = np.floor_divide(a, b)
rem = np.remainder(a, b)
assert_equal(div*b + rem, a, err_msg=msg)
if sg2 == -1:
assert_(b < rem <= 0, msg)
else:
assert_(b > rem >= 0, msg) Example 10
def test_float_remainder_exact(self):
# test that float results are exact for small integers. This also
# holds for the same integers scaled by powers of two.
nlst = list(range(-127, 0))
plst = list(range(1, 128))
dividend = nlst + [0] + plst
divisor = nlst + plst
arg = list(itertools.product(dividend, divisor))
tgt = list(divmod(*t) for t in arg)
a, b = np.array(arg, dtype=int).T
# convert exact integer results from Python to float so that
# signed zero can be used, it is checked.
tgtdiv, tgtrem = np.array(tgt, dtype=float).T
tgtdiv = np.where((tgtdiv == 0.0) & ((b < 0) ^ (a < 0)), -0.0, tgtdiv)
tgtrem = np.where((tgtrem == 0.0) & (b < 0), -0.0, tgtrem)
for dt in np.typecodes['Float']:
msg = 'dtype: %s' % (dt,)
fa = a.astype(dt)
fb = b.astype(dt)
div = np.floor_divide(fa, fb)
rem = np.remainder(fa, fb)
assert_equal(div, tgtdiv, err_msg=msg)
assert_equal(rem, tgtrem, err_msg=msg) Example 11
def test_float_remainder_roundoff(self):
# gh-6127
dt = np.typecodes['Float']
for dt1, dt2 in itertools.product(dt, dt):
for sg1, sg2 in itertools.product((+1, -1), (+1, -1)):
fmt = 'dt1: %s, dt2: %s, sg1: %s, sg2: %s'
msg = fmt % (dt1, dt2, sg1, sg2)
a = np.array(sg1*78*6e-8, dtype=dt1)
b = np.array(sg2*6e-8, dtype=dt2)
div = np.floor_divide(a, b)
rem = np.remainder(a, b)
# Equal assertion should hold when fmod is used
assert_equal(div*b + rem, a, err_msg=msg)
if sg2 == -1:
assert_(b < rem <= 0, msg)
else:
assert_(b > rem >= 0, msg) Example 12
def test_remainder_basic(self):
dt = np.typecodes['AllInteger'] + np.typecodes['Float']
for dt1, dt2 in itertools.product(dt, dt):
for sg1, sg2 in itertools.product((+1, -1), (+1, -1)):
if sg1 == -1 and dt1 in np.typecodes['UnsignedInteger']:
continue
if sg2 == -1 and dt2 in np.typecodes['UnsignedInteger']:
continue
fmt = 'dt1: %s, dt2: %s, sg1: %s, sg2: %s'
msg = fmt % (dt1, dt2, sg1, sg2)
a = np.array(sg1*71, dtype=dt1)
b = np.array(sg2*19, dtype=dt2)
div = np.floor_divide(a, b)
rem = np.remainder(a, b)
assert_equal(div*b + rem, a, err_msg=msg)
if sg2 == -1:
assert_(b < rem <= 0, msg)
else:
assert_(b > rem >= 0, msg) Example 13
def test_float_remainder_exact(self):
# test that float results are exact for small integers. This also
# holds for the same integers scaled by powers of two.
nlst = list(range(-127, 0))
plst = list(range(1, 128))
dividend = nlst + [0] + plst
divisor = nlst + plst
arg = list(itertools.product(dividend, divisor))
tgt = list(divmod(*t) for t in arg)
a, b = np.array(arg, dtype=int).T
# convert exact integer results from Python to float so that
# signed zero can be used, it is checked.
tgtdiv, tgtrem = np.array(tgt, dtype=float).T
tgtdiv = np.where((tgtdiv == 0.0) & ((b < 0) ^ (a < 0)), -0.0, tgtdiv)
tgtrem = np.where((tgtrem == 0.0) & (b < 0), -0.0, tgtrem)
for dt in np.typecodes['Float']:
msg = 'dtype: %s' % (dt,)
fa = a.astype(dt)
fb = b.astype(dt)
div = np.floor_divide(fa, fb)
rem = np.remainder(fa, fb)
assert_equal(div, tgtdiv, err_msg=msg)
assert_equal(rem, tgtrem, err_msg=msg) Example 14
def test_float_remainder_roundoff(self):
# gh-6127
dt = np.typecodes['Float']
for dt1, dt2 in itertools.product(dt, dt):
for sg1, sg2 in itertools.product((+1, -1), (+1, -1)):
fmt = 'dt1: %s, dt2: %s, sg1: %s, sg2: %s'
msg = fmt % (dt1, dt2, sg1, sg2)
a = np.array(sg1*78*6e-8, dtype=dt1)
b = np.array(sg2*6e-8, dtype=dt2)
div = np.floor_divide(a, b)
rem = np.remainder(a, b)
# Equal assertion should hold when fmod is used
assert_equal(div*b + rem, a, err_msg=msg)
if sg2 == -1:
assert_(b < rem <= 0, msg)
else:
assert_(b > rem >= 0, msg) Example 15
def frame_to_state_mapping(shift_file, lab_file, fs, states_per_phone=5):
#Read files:
v_shift = lu.read_binfile(shift_file, dim=1)
v_pm = la.shift_to_pm(v_shift)
m_state_times = np.loadtxt(lab_file, usecols=(0,1))
# to miliseconds:
v_pm_ms = 1000 * v_pm / fs
m_state_times_ms = m_state_times / 10000.0
# Compare:
nfrms = len(v_pm_ms)
v_st = np.zeros(nfrms) - 1 # init
for f in xrange(nfrms):
vb_greater = (v_pm_ms[f] >= m_state_times_ms[:,0]) # * (v_pm_ms[f] < m_state_times_ms[:,1])
state_nx = np.where(vb_greater)[0][-1]
v_st[f] = np.remainder(state_nx, states_per_phone)
return v_st
#============================================================================== Example 16
def test_remainder_basic(self):
dt = np.typecodes['AllInteger'] + np.typecodes['Float']
for dt1, dt2 in itertools.product(dt, dt):
for sg1, sg2 in itertools.product((+1, -1), (+1, -1)):
if sg1 == -1 and dt1 in np.typecodes['UnsignedInteger']:
continue
if sg2 == -1 and dt2 in np.typecodes['UnsignedInteger']:
continue
fmt = 'dt1: %s, dt2: %s, sg1: %s, sg2: %s'
msg = fmt % (dt1, dt2, sg1, sg2)
a = np.array(sg1*71, dtype=dt1)
b = np.array(sg2*19, dtype=dt2)
div = np.floor_divide(a, b)
rem = np.remainder(a, b)
assert_equal(div*b + rem, a, err_msg=msg)
if sg2 == -1:
assert_(b < rem <= 0, msg)
else:
assert_(b > rem >= 0, msg) Example 17
def test_float_remainder_exact(self):
# test that float results are exact for small integers. This also
# holds for the same integers scaled by powers of two.
nlst = list(range(-127, 0))
plst = list(range(1, 128))
dividend = nlst + [0] + plst
divisor = nlst + plst
arg = list(itertools.product(dividend, divisor))
tgt = list(divmod(*t) for t in arg)
a, b = np.array(arg, dtype=int).T
# convert exact integer results from Python to float so that
# signed zero can be used, it is checked.
tgtdiv, tgtrem = np.array(tgt, dtype=float).T
tgtdiv = np.where((tgtdiv == 0.0) & ((b < 0) ^ (a < 0)), -0.0, tgtdiv)
tgtrem = np.where((tgtrem == 0.0) & (b < 0), -0.0, tgtrem)
for dt in np.typecodes['Float']:
msg = 'dtype: %s' % (dt,)
fa = a.astype(dt)
fb = b.astype(dt)
div = np.floor_divide(fa, fb)
rem = np.remainder(fa, fb)
assert_equal(div, tgtdiv, err_msg=msg)
assert_equal(rem, tgtrem, err_msg=msg) Example 18
def test_float_remainder_roundoff(self):
# gh-6127
dt = np.typecodes['Float']
for dt1, dt2 in itertools.product(dt, dt):
for sg1, sg2 in itertools.product((+1, -1), (+1, -1)):
fmt = 'dt1: %s, dt2: %s, sg1: %s, sg2: %s'
msg = fmt % (dt1, dt2, sg1, sg2)
a = np.array(sg1*78*6e-8, dtype=dt1)
b = np.array(sg2*6e-8, dtype=dt2)
div = np.floor_divide(a, b)
rem = np.remainder(a, b)
# Equal assertion should hold when fmod is used
assert_equal(div*b + rem, a, err_msg=msg)
if sg2 == -1:
assert_(b < rem <= 0, msg)
else:
assert_(b > rem >= 0, msg) Example 19
def test_float_remainder_corner_cases(self):
# Check remainder magnitude.
for dt in np.typecodes['Float']:
b = np.array(1.0, dtype=dt)
a = np.nextafter(np.array(0.0, dtype=dt), -b)
rem = np.remainder(a, b)
assert_(rem <= b, 'dt: %s' % dt)
rem = np.remainder(-a, -b)
assert_(rem >= -b, 'dt: %s' % dt)
# Check nans, inf
with warnings.catch_warnings():
warnings.simplefilter('always')
warnings.simplefilter('ignore', RuntimeWarning)
for dt in np.typecodes['Float']:
fone = np.array(1.0, dtype=dt)
fzer = np.array(0.0, dtype=dt)
finf = np.array(np.inf, dtype=dt)
fnan = np.array(np.nan, dtype=dt)
rem = np.remainder(fone, fzer)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem))
# MSVC 2008 returns NaN here, so disable the check.
#rem = np.remainder(fone, finf)
#assert_(rem == fone, 'dt: %s, rem: %s' % (dt, rem))
rem = np.remainder(fone, fnan)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem))
rem = np.remainder(finf, fone)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem)) Example 20
def __mod__(self, other):
return remainder(self, other) Example 21
def __imod__(self, other):
return remainder(self, other, self) Example 22
def __rmod__(self, other):
return remainder(other, self) Example 23
def gridF(fs, csf):
"""
Concatenates PSF kernels to one 2d image, potentially useful for plotting.
--------------------------------------------------------------------------
Usage:
Call: gridF(fs, csf)
Input: fs PSF kernels, i.e. 3d array with kernels indexed by 0th index
csf size of kernels in x and y direction
Output: 2d image with PSF kernels arranged according to csf
--------------------------------------------------------------------------
Copyright (C) 2011 Michael Hirsch
"""
f = np.ones((fs.shape[1]*csf[0],fs.shape[2]*csf[1]))
for i in range(np.prod(csf)):
k = i/csf[1]
l = np.remainder(i,csf[1])
f[k * fs.shape[1]:(k+1)*fs.shape[1],
l * fs.shape[2]:(l+1)*fs.shape[2]] = fs[i,:,:]
return f Example 24
def modTwo(C): """Q & D way to Mod 2 all results""" D = C.copy() D.fill(2) return np.remainder(C,D)
Example 25
def test_float_remainder_corner_cases(self):
# Check remainder magnitude.
for dt in np.typecodes['Float']:
b = np.array(1.0, dtype=dt)
a = np.nextafter(np.array(0.0, dtype=dt), -b)
rem = np.remainder(a, b)
assert_(rem <= b, 'dt: %s' % dt)
rem = np.remainder(-a, -b)
assert_(rem >= -b, 'dt: %s' % dt)
# Check nans, inf
with warnings.catch_warnings():
warnings.simplefilter('always')
warnings.simplefilter('ignore', RuntimeWarning)
for dt in np.typecodes['Float']:
fone = np.array(1.0, dtype=dt)
fzer = np.array(0.0, dtype=dt)
finf = np.array(np.inf, dtype=dt)
fnan = np.array(np.nan, dtype=dt)
rem = np.remainder(fone, fzer)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem))
# MSVC 2008 returns NaN here, so disable the check.
#rem = np.remainder(fone, finf)
#assert_(rem == fone, 'dt: %s, rem: %s' % (dt, rem))
rem = np.remainder(fone, fnan)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem))
rem = np.remainder(finf, fone)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem)) Example 26
def gravityeffect(h0,s0,p0,tl,amp,phases):
"""
purpose: To compute the gravity effect due to each
tidal component.
"""
dtor = np.pi/180
R90 = np.pi/2
R360 = np.pi*2
p0 = np.remainder(p0,R360)
h0 = np.remainder(h0,R360)
s0 = np.remainder(s0,R360)
tl = np.remainder(tl,R360)
arg=np.zeros(11)
# argument component
arg[0] = 2*tl - 2*s0 # M2
arg[1] = 2*tl - 2*h0 # S2
arg[2] = tl - R90 # K1
arg[3] = tl - 2*s0 + R90 # O1
arg[4] = 2*tl - 3*s0 + p0 # N2
arg[5] = tl - 2*h0 + R90 # P1
arg[6] = 2*tl # K2
arg[7] = tl - 3*s0 + p0 +R90 # Q1
arg[8] = 2*s0 # Mf
arg[9] = s0 - p0 # Mm
arg[10] = 2*h0 # Ssa
totaleffect=np.sum([amp[i]*np.cos(arg[i] - phases[i]*dtor) for i in range(len(arg))])
return totaleffect Example 27
def keepParticlesInCell(positions):
for p in range(config.nParticles):
positions[p,:] = np.remainder(positions[p,:], config.lCalc);
# Calculate the forces. Jitted to make is super fast
# Code has been based on: http://combichem.blogspot.nl/2013/04/fun-with-numba-numpy-and-f2py.html Example 28
def lanczosIndexedShift( params ):
""" lanczosIndexedShift( params )
params = (index, imageStack, translations, kernelShape=3, lobes=None)
imageStack = input 3D numpy array
translations = [y,x] shift, recommened not to exceed 1.0, should be float
Random values of kernelShape and lobes gives poor performance. Generally the
lobes has to increase with the kernelShape or you'll get a lowpass filter.
Generally lobes = (kernelShape+1)/2
kernelShape=3 and lobes=2 is a lanczos2 kernel, it has almost no-lowpass character
kernelShape=5 and lobes=3 is a lanczos3 kernel, it's the typical choice
Anything with lobes=1 is a low-pass filter, but next to no ringing artifacts
If you cheat and pass in rounded shifts only the roll will be performed, so this can be used to accelerate
roll as well in a parallel environment.
"""
if len( params ) == 3:
[index, imageStack, translations] = params
kernelShape = 3
lobes = None
elif len( params ) == 4:
[index, imageStack, translations, kernelShape] = params
lobes = None
elif len( params ) == 5:
[index, imageStack, translations, kernelShape, lobes] = params
integer_trans = np.round( translations[index,:] ).astype('int')
# Integer shift
imageStack[index,:,:] = np.roll( np.roll( imageStack[index,:,:],
integer_trans[0], axis=0 ),
integer_trans[1], axis=1 )
# Subpixel shift
remain_trans = np.remainder( translations[index,:], 1)
if not (np.isclose( remain_trans[0], 0.0) and np.isclose( remain_trans[1], 0.0) ):
kernel = lanczosSubPixKernel( remain_trans, kernelShape=kernelShape, lobes=lobes )
# RAM: I tried to use the out= keyword but it's perhaps not thread-safe.
imageStack[index,:,:] = scipy.ndimage.convolve( imageStack[index,:,:], kernel, mode='reflect' ) Example 29
def test_float_remainder_corner_cases(self):
# Check remainder magnitude.
for dt in np.typecodes['Float']:
b = np.array(1.0, dtype=dt)
a = np.nextafter(np.array(0.0, dtype=dt), -b)
rem = np.remainder(a, b)
assert_(rem <= b, 'dt: %s' % dt)
rem = np.remainder(-a, -b)
assert_(rem >= -b, 'dt: %s' % dt)
# Check nans, inf
with warnings.catch_warnings():
warnings.simplefilter('always')
warnings.simplefilter('ignore', RuntimeWarning)
for dt in np.typecodes['Float']:
fone = np.array(1.0, dtype=dt)
fzer = np.array(0.0, dtype=dt)
finf = np.array(np.inf, dtype=dt)
fnan = np.array(np.nan, dtype=dt)
rem = np.remainder(fone, fzer)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem))
# MSVC 2008 returns NaN here, so disable the check.
#rem = np.remainder(fone, finf)
#assert_(rem == fone, 'dt: %s, rem: %s' % (dt, rem))
rem = np.remainder(fone, fnan)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem))
rem = np.remainder(finf, fone)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem)) Example 30
def test_float_remainder_corner_cases(self):
# Check remainder magnitude.
for dt in np.typecodes['Float']:
b = np.array(1.0, dtype=dt)
a = np.nextafter(np.array(0.0, dtype=dt), -b)
rem = np.remainder(a, b)
assert_(rem <= b, 'dt: %s' % dt)
rem = np.remainder(-a, -b)
assert_(rem >= -b, 'dt: %s' % dt)
# Check nans, inf
with suppress_warnings() as sup:
sup.filter(RuntimeWarning, "invalid value encountered in remainder")
for dt in np.typecodes['Float']:
fone = np.array(1.0, dtype=dt)
fzer = np.array(0.0, dtype=dt)
finf = np.array(np.inf, dtype=dt)
fnan = np.array(np.nan, dtype=dt)
rem = np.remainder(fone, fzer)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem))
# MSVC 2008 returns NaN here, so disable the check.
#rem = np.remainder(fone, finf)
#assert_(rem == fone, 'dt: %s, rem: %s' % (dt, rem))
rem = np.remainder(fone, fnan)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem))
rem = np.remainder(finf, fone)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem)) Example 31
def frame_to_state_mapping2(shift_file, state_lab_file, fs, states_per_phone=5, b_refine=True):
#Read files:
v_shift = lu.read_binfile(shift_file, dim=1)
v_pm = la.shift_to_pm(v_shift)
m_state_times = np.loadtxt(state_lab_file, usecols=(0,1))
# to miliseconds:
v_pm_ms = 1000 * v_pm / fs
m_state_times_ms = m_state_times / 10000.0
# Compare:
nfrms = len(v_pm_ms)
v_st = np.zeros(nfrms) - 1 # init
for f in xrange(nfrms):
vb_greater = (v_pm_ms[f] >= m_state_times_ms[:,0]) # * (v_pm_ms[f] < m_state_times_ms[:,1])
state_nx = np.where(vb_greater)[0][-1]
v_st[f] = np.remainder(state_nx, states_per_phone)
# Refining:
if b_refine:
state_len_ms = m_state_times_ms[state_nx,1] - m_state_times_ms[state_nx,0]
fine_pos = ( v_pm_ms[f] - m_state_times_ms[state_nx,0] ) / state_len_ms
v_st[f] += fine_pos
# Protection against wrong ended label files:
np.clip(v_st, 0, states_per_phone, out=v_st)
return v_st
#============================================================================== Example 32
def mand2pixmap(self,width:int,height:int, mand, maxiter:int, pixmap, progress, e):
pen=[]
pen.append(qRgb(0,0,0))
maxcol=len(colormap)
for i in range(maxcol):
(r,g,b)=colormap[(i+self.coffset)%maxcol]
pen.append(qRgb(r,g,b))
z = np.full((width, height),maxcol, dtype=int)
mand2 = np.remainder(mand, z)
mand2[mand==0]=-1
mand2 = np.add(mand2, np.ones((width, height), int))
st=100/height
im=QImage(height, width, QImage.Format_RGB888)
for j in range(0,height-1,5):
for i in range(width):
im.setPixel(height-j-1,width-i-1,pen[mand2[i,j]])
im.setPixel(height-j-2,width-i-1,pen[mand2[i,j+1]])
im.setPixel(height-j-3,width-i-1,pen[mand2[i,j+2]])
im.setPixel(height-j-4,width-i-1,pen[mand2[i,j+3]])
im.setPixel(height-j-5,width-i-1,pen[mand2[i,j+4]])
progress.setValue(st*j)
e.processEvents()
p = QPainter()
p.begin(pixmap)
p.drawImage(QPoint(0,0),im)
self.bild.update() Example 33
def test_float_remainder_corner_cases(self):
# Check remainder magnitude.
for dt in np.typecodes['Float']:
b = np.array(1.0, dtype=dt)
a = np.nextafter(np.array(0.0, dtype=dt), -b)
rem = np.remainder(a, b)
assert_(rem <= b, 'dt: %s' % dt)
rem = np.remainder(-a, -b)
assert_(rem >= -b, 'dt: %s' % dt)
# Check nans, inf
with warnings.catch_warnings():
warnings.simplefilter('always')
warnings.simplefilter('ignore', RuntimeWarning)
for dt in np.typecodes['Float']:
fone = np.array(1.0, dtype=dt)
fzer = np.array(0.0, dtype=dt)
finf = np.array(np.inf, dtype=dt)
fnan = np.array(np.nan, dtype=dt)
rem = np.remainder(fone, fzer)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem))
# MSVC 2008 returns NaN here, so disable the check.
#rem = np.remainder(fone, finf)
#assert_(rem == fone, 'dt: %s, rem: %s' % (dt, rem))
rem = np.remainder(fone, fnan)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem))
rem = np.remainder(finf, fone)
assert_(np.isnan(rem), 'dt: %s, rem: %s' % (dt, rem)) Example 34
def test_half_ufuncs(self):
"""Test the various ufuncs"""
a = np.array([0, 1, 2, 4, 2], dtype=float16)
b = np.array([-2, 5, 1, 4, 3], dtype=float16)
c = np.array([0, -1, -np.inf, np.nan, 6], dtype=float16)
assert_equal(np.add(a, b), [-2, 6, 3, 8, 5])
assert_equal(np.subtract(a, b), [2, -4, 1, 0, -1])
assert_equal(np.multiply(a, b), [0, 5, 2, 16, 6])
assert_equal(np.divide(a, b), [0, 0.199951171875, 2, 1, 0.66650390625])
assert_equal(np.equal(a, b), [False, False, False, True, False])
assert_equal(np.not_equal(a, b), [True, True, True, False, True])
assert_equal(np.less(a, b), [False, True, False, False, True])
assert_equal(np.less_equal(a, b), [False, True, False, True, True])
assert_equal(np.greater(a, b), [True, False, True, False, False])
assert_equal(np.greater_equal(a, b), [True, False, True, True, False])
assert_equal(np.logical_and(a, b), [False, True, True, True, True])
assert_equal(np.logical_or(a, b), [True, True, True, True, True])
assert_equal(np.logical_xor(a, b), [True, False, False, False, False])
assert_equal(np.logical_not(a), [True, False, False, False, False])
assert_equal(np.isnan(c), [False, False, False, True, False])
assert_equal(np.isinf(c), [False, False, True, False, False])
assert_equal(np.isfinite(c), [True, True, False, False, True])
assert_equal(np.signbit(b), [True, False, False, False, False])
assert_equal(np.copysign(b, a), [2, 5, 1, 4, 3])
assert_equal(np.maximum(a, b), [0, 5, 2, 4, 3])
x = np.maximum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [0, 5, 1, 0, 6])
assert_equal(np.minimum(a, b), [-2, 1, 1, 4, 2])
x = np.minimum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [-2, -1, -np.inf, 0, 3])
assert_equal(np.fmax(a, b), [0, 5, 2, 4, 3])
assert_equal(np.fmax(b, c), [0, 5, 1, 4, 6])
assert_equal(np.fmin(a, b), [-2, 1, 1, 4, 2])
assert_equal(np.fmin(b, c), [-2, -1, -np.inf, 4, 3])
assert_equal(np.floor_divide(a, b), [0, 0, 2, 1, 0])
assert_equal(np.remainder(a, b), [0, 1, 0, 0, 2])
assert_equal(np.square(b), [4, 25, 1, 16, 9])
assert_equal(np.reciprocal(b), [-0.5, 0.199951171875, 1, 0.25, 0.333251953125])
assert_equal(np.ones_like(b), [1, 1, 1, 1, 1])
assert_equal(np.conjugate(b), b)
assert_equal(np.absolute(b), [2, 5, 1, 4, 3])
assert_equal(np.negative(b), [2, -5, -1, -4, -3])
assert_equal(np.sign(b), [-1, 1, 1, 1, 1])
assert_equal(np.modf(b), ([0, 0, 0, 0, 0], b))
assert_equal(np.frexp(b), ([-0.5, 0.625, 0.5, 0.5, 0.75], [2, 3, 1, 3, 2]))
assert_equal(np.ldexp(b, [0, 1, 2, 4, 2]), [-2, 10, 4, 64, 12]) Example 35
def ang2pix_ring_single(nside, theta, phi):
"""Calculate the pixel indexes in RING ordering scheme for one single
pair of angular coordinate on the sphere.
Parameters
----------
theta : float
The polar angle (i.e., latitude), ? ? [0, ?]. (unit: rad)
phi : float
The azimuthal angle (i.e., longitude), ? ? [0, 2?). (unit: rad)
Returns
-------
ipix : int
The index of the pixel corresponding to the input coordinate.
NOTE
----
* Only support the *RING* ordering scheme
* This is the JIT-optimized version that partially replaces the
``healpy.ang2pix``
References
----------
- HEALPix software: ``src/C/subs/chealpix.c``: ``ang2pix_ring_z_phi()``
http://healpix.sourceforge.net/
"""
z = np.cos(theta) # colatitude
za = np.absolute(z)
tt = (2.0 / np.pi) * np.remainder(phi, 2*np.pi) # range: [0, 4)
if za <= 2.0/3.0:
# Equatorial region
temp1 = nside * (tt + 0.5)
temp2 = nside * z * 0.75
jp = int(temp1 - temp2) # Index of ascending edge line
jm = int(temp1 + temp2) # Index of descending edge line
# Ring number counted from z=2/3
iring = nside + 1 + jp - jm # range: [1, 2n+1]
kshift = 1 - (iring & 1) # kshift=1 if ir even, 0 otherwise
ip = int((jp + jm - nside + kshift + 1) / 2)
ip = np.remainder(ip, 4*nside)
ipix = nside * (nside-1) * 2 + (iring-1) * 4 * nside + ip
else:
# North & South polar caps
tp = tt - int(tt)
tmp = nside * np.sqrt(3 * (1-za))
jp = int(tp * tmp)
jm = int((1.0-tp) * tmp)
# Ring number counted from the closest pole
iring = jp + jm + 1
ip = int(tt * iring)
ip = np.remainder(ip, 4*iring)
#
if z > 0:
ipix = 2 * iring * (iring-1) + ip
else:
ipix = 12 * nside * nside - 2 * iring * (iring+1) + ip
#
return ipix Example 36
def test_half_ufuncs(self):
"""Test the various ufuncs"""
a = np.array([0, 1, 2, 4, 2], dtype=float16)
b = np.array([-2, 5, 1, 4, 3], dtype=float16)
c = np.array([0, -1, -np.inf, np.nan, 6], dtype=float16)
assert_equal(np.add(a, b), [-2, 6, 3, 8, 5])
assert_equal(np.subtract(a, b), [2, -4, 1, 0, -1])
assert_equal(np.multiply(a, b), [0, 5, 2, 16, 6])
assert_equal(np.divide(a, b), [0, 0.199951171875, 2, 1, 0.66650390625])
assert_equal(np.equal(a, b), [False, False, False, True, False])
assert_equal(np.not_equal(a, b), [True, True, True, False, True])
assert_equal(np.less(a, b), [False, True, False, False, True])
assert_equal(np.less_equal(a, b), [False, True, False, True, True])
assert_equal(np.greater(a, b), [True, False, True, False, False])
assert_equal(np.greater_equal(a, b), [True, False, True, True, False])
assert_equal(np.logical_and(a, b), [False, True, True, True, True])
assert_equal(np.logical_or(a, b), [True, True, True, True, True])
assert_equal(np.logical_xor(a, b), [True, False, False, False, False])
assert_equal(np.logical_not(a), [True, False, False, False, False])
assert_equal(np.isnan(c), [False, False, False, True, False])
assert_equal(np.isinf(c), [False, False, True, False, False])
assert_equal(np.isfinite(c), [True, True, False, False, True])
assert_equal(np.signbit(b), [True, False, False, False, False])
assert_equal(np.copysign(b, a), [2, 5, 1, 4, 3])
assert_equal(np.maximum(a, b), [0, 5, 2, 4, 3])
x = np.maximum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [0, 5, 1, 0, 6])
assert_equal(np.minimum(a, b), [-2, 1, 1, 4, 2])
x = np.minimum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [-2, -1, -np.inf, 0, 3])
assert_equal(np.fmax(a, b), [0, 5, 2, 4, 3])
assert_equal(np.fmax(b, c), [0, 5, 1, 4, 6])
assert_equal(np.fmin(a, b), [-2, 1, 1, 4, 2])
assert_equal(np.fmin(b, c), [-2, -1, -np.inf, 4, 3])
assert_equal(np.floor_divide(a, b), [0, 0, 2, 1, 0])
assert_equal(np.remainder(a, b), [0, 1, 0, 0, 2])
assert_equal(np.square(b), [4, 25, 1, 16, 9])
assert_equal(np.reciprocal(b), [-0.5, 0.199951171875, 1, 0.25, 0.333251953125])
assert_equal(np.ones_like(b), [1, 1, 1, 1, 1])
assert_equal(np.conjugate(b), b)
assert_equal(np.absolute(b), [2, 5, 1, 4, 3])
assert_equal(np.negative(b), [2, -5, -1, -4, -3])
assert_equal(np.sign(b), [-1, 1, 1, 1, 1])
assert_equal(np.modf(b), ([0, 0, 0, 0, 0], b))
assert_equal(np.frexp(b), ([-0.5, 0.625, 0.5, 0.5, 0.75], [2, 3, 1, 3, 2]))
assert_equal(np.ldexp(b, [0, 1, 2, 4, 2]), [-2, 10, 4, 64, 12]) Example 37
def compute(self, X=[]):
if len(X)==0:
X=self.data
else:
pass
originalLength=X.shape[0]
originalWidth=self.weightsOpenCL.shape[0]
if not self.openCL.active:
raise Exception('openCL not active')
#===================================================================
# networks=self.weights.wHL.shape[0]
# phiOL=np.empty((X.shape[0], networks))
# for i0 in range(networks):
# aHL=X.dot(self.weights.wHL[i0,:,:])+np.tile(self.weights.bHL[i0,],(X.shape[0],1))
# phiHL=self._activate(aHL,0)
# aOL=phiHL.dot(self.weights.wOL[:,i0])+self.weights.bOL[i0,]
# phiOL[:,i0]=self._activate(aOL,1)
#===================================================================
else:
remData=np.remainder(X.shape[0],self.openCL.workGroup[0])
if remData != 0:
X=np.vstack((X, np.zeros((self.openCL.workGroup[0]-remData, X.shape[1]))))
else:
remData=self.openCL.workGroup[0]
remNetwork=np.remainder(self.weightsOpenCL.shape[0],self.openCL.workGroup[1])
if remNetwork != 0:
weights=np.vstack((self.weightsOpenCL, np.zeros((self.openCL.workGroup[1]-remNetwork, self.weightsOpenCL.shape[1]))))
else:
weights=self.weightsOpenCL
remNetwork=self.openCL.workGroup[1]
XOpenCL=X.reshape(-1, order = 'C').astype(np.float32)
weightsOpenCL=weights.reshape(-1, order = 'C').astype(np.float32)
mf = cl.mem_flags
inputs=np.int32(X.shape[1])
nodes=np.int32(self.nodes)
dataSize=np.int32(X.shape[0])
weightSize=np.int32(self.weightsOpenCL.shape[1])
dataBuffer = cl.Buffer(self.openCL.ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=XOpenCL)
weightsBuffer = cl.Buffer(self.openCL.ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=weightsOpenCL)
outBuffer = cl.Buffer(self.openCL.ctx, mf.WRITE_ONLY, int(XOpenCL.nbytes/inputs*weights.shape[0]))
kernel=self.openCL.prg.ann
globalSize=(int(X.shape[0]), int(weights.shape[0]))
localSize=(int(self.openCL.workGroup[0]), int(self.openCL.workGroup[1]))
kernel(self.openCL.queue, globalSize, localSize, inputs, nodes, dataSize, weightSize, dataBuffer, outBuffer, weightsBuffer, cl.LocalMemory(self.weightsOpenCL[0,].nbytes*localSize[1]))
phiOL = np.empty((np.prod(globalSize),)).astype(np.float32)
cl.enqueue_copy(self.openCL.queue, phiOL, outBuffer)
phiOL=np.reshape(phiOL, globalSize, order='F')[:originalLength,:originalWidth]
if self.lowerThreshold!=-999:
phiOL[phiOL<self.lowerThreshold] = self.lowerThreshold
return phiOL Example 38
def test_half_ufuncs(self):
"""Test the various ufuncs"""
a = np.array([0, 1, 2, 4, 2], dtype=float16)
b = np.array([-2, 5, 1, 4, 3], dtype=float16)
c = np.array([0, -1, -np.inf, np.nan, 6], dtype=float16)
assert_equal(np.add(a, b), [-2, 6, 3, 8, 5])
assert_equal(np.subtract(a, b), [2, -4, 1, 0, -1])
assert_equal(np.multiply(a, b), [0, 5, 2, 16, 6])
assert_equal(np.divide(a, b), [0, 0.199951171875, 2, 1, 0.66650390625])
assert_equal(np.equal(a, b), [False, False, False, True, False])
assert_equal(np.not_equal(a, b), [True, True, True, False, True])
assert_equal(np.less(a, b), [False, True, False, False, True])
assert_equal(np.less_equal(a, b), [False, True, False, True, True])
assert_equal(np.greater(a, b), [True, False, True, False, False])
assert_equal(np.greater_equal(a, b), [True, False, True, True, False])
assert_equal(np.logical_and(a, b), [False, True, True, True, True])
assert_equal(np.logical_or(a, b), [True, True, True, True, True])
assert_equal(np.logical_xor(a, b), [True, False, False, False, False])
assert_equal(np.logical_not(a), [True, False, False, False, False])
assert_equal(np.isnan(c), [False, False, False, True, False])
assert_equal(np.isinf(c), [False, False, True, False, False])
assert_equal(np.isfinite(c), [True, True, False, False, True])
assert_equal(np.signbit(b), [True, False, False, False, False])
assert_equal(np.copysign(b, a), [2, 5, 1, 4, 3])
assert_equal(np.maximum(a, b), [0, 5, 2, 4, 3])
x = np.maximum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [0, 5, 1, 0, 6])
assert_equal(np.minimum(a, b), [-2, 1, 1, 4, 2])
x = np.minimum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [-2, -1, -np.inf, 0, 3])
assert_equal(np.fmax(a, b), [0, 5, 2, 4, 3])
assert_equal(np.fmax(b, c), [0, 5, 1, 4, 6])
assert_equal(np.fmin(a, b), [-2, 1, 1, 4, 2])
assert_equal(np.fmin(b, c), [-2, -1, -np.inf, 4, 3])
assert_equal(np.floor_divide(a, b), [0, 0, 2, 1, 0])
assert_equal(np.remainder(a, b), [0, 1, 0, 0, 2])
assert_equal(np.square(b), [4, 25, 1, 16, 9])
assert_equal(np.reciprocal(b), [-0.5, 0.199951171875, 1, 0.25, 0.333251953125])
assert_equal(np.ones_like(b), [1, 1, 1, 1, 1])
assert_equal(np.conjugate(b), b)
assert_equal(np.absolute(b), [2, 5, 1, 4, 3])
assert_equal(np.negative(b), [2, -5, -1, -4, -3])
assert_equal(np.sign(b), [-1, 1, 1, 1, 1])
assert_equal(np.modf(b), ([0, 0, 0, 0, 0], b))
assert_equal(np.frexp(b), ([-0.5, 0.625, 0.5, 0.5, 0.75], [2, 3, 1, 3, 2]))
assert_equal(np.ldexp(b, [0, 1, 2, 4, 2]), [-2, 10, 4, 64, 12]) Example 39
def test_half_ufuncs(self):
"""Test the various ufuncs"""
a = np.array([0, 1, 2, 4, 2], dtype=float16)
b = np.array([-2, 5, 1, 4, 3], dtype=float16)
c = np.array([0, -1, -np.inf, np.nan, 6], dtype=float16)
assert_equal(np.add(a, b), [-2, 6, 3, 8, 5])
assert_equal(np.subtract(a, b), [2, -4, 1, 0, -1])
assert_equal(np.multiply(a, b), [0, 5, 2, 16, 6])
assert_equal(np.divide(a, b), [0, 0.199951171875, 2, 1, 0.66650390625])
assert_equal(np.equal(a, b), [False, False, False, True, False])
assert_equal(np.not_equal(a, b), [True, True, True, False, True])
assert_equal(np.less(a, b), [False, True, False, False, True])
assert_equal(np.less_equal(a, b), [False, True, False, True, True])
assert_equal(np.greater(a, b), [True, False, True, False, False])
assert_equal(np.greater_equal(a, b), [True, False, True, True, False])
assert_equal(np.logical_and(a, b), [False, True, True, True, True])
assert_equal(np.logical_or(a, b), [True, True, True, True, True])
assert_equal(np.logical_xor(a, b), [True, False, False, False, False])
assert_equal(np.logical_not(a), [True, False, False, False, False])
assert_equal(np.isnan(c), [False, False, False, True, False])
assert_equal(np.isinf(c), [False, False, True, False, False])
assert_equal(np.isfinite(c), [True, True, False, False, True])
assert_equal(np.signbit(b), [True, False, False, False, False])
assert_equal(np.copysign(b, a), [2, 5, 1, 4, 3])
assert_equal(np.maximum(a, b), [0, 5, 2, 4, 3])
x = np.maximum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [0, 5, 1, 0, 6])
assert_equal(np.minimum(a, b), [-2, 1, 1, 4, 2])
x = np.minimum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [-2, -1, -np.inf, 0, 3])
assert_equal(np.fmax(a, b), [0, 5, 2, 4, 3])
assert_equal(np.fmax(b, c), [0, 5, 1, 4, 6])
assert_equal(np.fmin(a, b), [-2, 1, 1, 4, 2])
assert_equal(np.fmin(b, c), [-2, -1, -np.inf, 4, 3])
assert_equal(np.floor_divide(a, b), [0, 0, 2, 1, 0])
assert_equal(np.remainder(a, b), [0, 1, 0, 0, 2])
assert_equal(np.square(b), [4, 25, 1, 16, 9])
assert_equal(np.reciprocal(b), [-0.5, 0.199951171875, 1, 0.25, 0.333251953125])
assert_equal(np.ones_like(b), [1, 1, 1, 1, 1])
assert_equal(np.conjugate(b), b)
assert_equal(np.absolute(b), [2, 5, 1, 4, 3])
assert_equal(np.negative(b), [2, -5, -1, -4, -3])
assert_equal(np.sign(b), [-1, 1, 1, 1, 1])
assert_equal(np.modf(b), ([0, 0, 0, 0, 0], b))
assert_equal(np.frexp(b), ([-0.5, 0.625, 0.5, 0.5, 0.75], [2, 3, 1, 3, 2]))
assert_equal(np.ldexp(b, [0, 1, 2, 4, 2]), [-2, 10, 4, 64, 12]) Example 40
def test_half_ufuncs(self):
"""Test the various ufuncs"""
a = np.array([0, 1, 2, 4, 2], dtype=float16)
b = np.array([-2, 5, 1, 4, 3], dtype=float16)
c = np.array([0, -1, -np.inf, np.nan, 6], dtype=float16)
assert_equal(np.add(a, b), [-2, 6, 3, 8, 5])
assert_equal(np.subtract(a, b), [2, -4, 1, 0, -1])
assert_equal(np.multiply(a, b), [0, 5, 2, 16, 6])
assert_equal(np.divide(a, b), [0, 0.199951171875, 2, 1, 0.66650390625])
assert_equal(np.equal(a, b), [False, False, False, True, False])
assert_equal(np.not_equal(a, b), [True, True, True, False, True])
assert_equal(np.less(a, b), [False, True, False, False, True])
assert_equal(np.less_equal(a, b), [False, True, False, True, True])
assert_equal(np.greater(a, b), [True, False, True, False, False])
assert_equal(np.greater_equal(a, b), [True, False, True, True, False])
assert_equal(np.logical_and(a, b), [False, True, True, True, True])
assert_equal(np.logical_or(a, b), [True, True, True, True, True])
assert_equal(np.logical_xor(a, b), [True, False, False, False, False])
assert_equal(np.logical_not(a), [True, False, False, False, False])
assert_equal(np.isnan(c), [False, False, False, True, False])
assert_equal(np.isinf(c), [False, False, True, False, False])
assert_equal(np.isfinite(c), [True, True, False, False, True])
assert_equal(np.signbit(b), [True, False, False, False, False])
assert_equal(np.copysign(b, a), [2, 5, 1, 4, 3])
assert_equal(np.maximum(a, b), [0, 5, 2, 4, 3])
x = np.maximum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [0, 5, 1, 0, 6])
assert_equal(np.minimum(a, b), [-2, 1, 1, 4, 2])
x = np.minimum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [-2, -1, -np.inf, 0, 3])
assert_equal(np.fmax(a, b), [0, 5, 2, 4, 3])
assert_equal(np.fmax(b, c), [0, 5, 1, 4, 6])
assert_equal(np.fmin(a, b), [-2, 1, 1, 4, 2])
assert_equal(np.fmin(b, c), [-2, -1, -np.inf, 4, 3])
assert_equal(np.floor_divide(a, b), [0, 0, 2, 1, 0])
assert_equal(np.remainder(a, b), [0, 1, 0, 0, 2])
assert_equal(np.square(b), [4, 25, 1, 16, 9])
assert_equal(np.reciprocal(b), [-0.5, 0.199951171875, 1, 0.25, 0.333251953125])
assert_equal(np.ones_like(b), [1, 1, 1, 1, 1])
assert_equal(np.conjugate(b), b)
assert_equal(np.absolute(b), [2, 5, 1, 4, 3])
assert_equal(np.negative(b), [2, -5, -1, -4, -3])
assert_equal(np.sign(b), [-1, 1, 1, 1, 1])
assert_equal(np.modf(b), ([0, 0, 0, 0, 0], b))
assert_equal(np.frexp(b), ([-0.5, 0.625, 0.5, 0.5, 0.75], [2, 3, 1, 3, 2]))
assert_equal(np.ldexp(b, [0, 1, 2, 4, 2]), [-2, 10, 4, 64, 12]) Example 41
def test_half_ufuncs(self):
"""Test the various ufuncs"""
a = np.array([0, 1, 2, 4, 2], dtype=float16)
b = np.array([-2, 5, 1, 4, 3], dtype=float16)
c = np.array([0, -1, -np.inf, np.nan, 6], dtype=float16)
assert_equal(np.add(a, b), [-2, 6, 3, 8, 5])
assert_equal(np.subtract(a, b), [2, -4, 1, 0, -1])
assert_equal(np.multiply(a, b), [0, 5, 2, 16, 6])
assert_equal(np.divide(a, b), [0, 0.199951171875, 2, 1, 0.66650390625])
assert_equal(np.equal(a, b), [False, False, False, True, False])
assert_equal(np.not_equal(a, b), [True, True, True, False, True])
assert_equal(np.less(a, b), [False, True, False, False, True])
assert_equal(np.less_equal(a, b), [False, True, False, True, True])
assert_equal(np.greater(a, b), [True, False, True, False, False])
assert_equal(np.greater_equal(a, b), [True, False, True, True, False])
assert_equal(np.logical_and(a, b), [False, True, True, True, True])
assert_equal(np.logical_or(a, b), [True, True, True, True, True])
assert_equal(np.logical_xor(a, b), [True, False, False, False, False])
assert_equal(np.logical_not(a), [True, False, False, False, False])
assert_equal(np.isnan(c), [False, False, False, True, False])
assert_equal(np.isinf(c), [False, False, True, False, False])
assert_equal(np.isfinite(c), [True, True, False, False, True])
assert_equal(np.signbit(b), [True, False, False, False, False])
assert_equal(np.copysign(b, a), [2, 5, 1, 4, 3])
assert_equal(np.maximum(a, b), [0, 5, 2, 4, 3])
x = np.maximum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [0, 5, 1, 0, 6])
assert_equal(np.minimum(a, b), [-2, 1, 1, 4, 2])
x = np.minimum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [-2, -1, -np.inf, 0, 3])
assert_equal(np.fmax(a, b), [0, 5, 2, 4, 3])
assert_equal(np.fmax(b, c), [0, 5, 1, 4, 6])
assert_equal(np.fmin(a, b), [-2, 1, 1, 4, 2])
assert_equal(np.fmin(b, c), [-2, -1, -np.inf, 4, 3])
assert_equal(np.floor_divide(a, b), [0, 0, 2, 1, 0])
assert_equal(np.remainder(a, b), [0, 1, 0, 0, 2])
assert_equal(np.square(b), [4, 25, 1, 16, 9])
assert_equal(np.reciprocal(b), [-0.5, 0.199951171875, 1, 0.25, 0.333251953125])
assert_equal(np.ones_like(b), [1, 1, 1, 1, 1])
assert_equal(np.conjugate(b), b)
assert_equal(np.absolute(b), [2, 5, 1, 4, 3])
assert_equal(np.negative(b), [2, -5, -1, -4, -3])
assert_equal(np.sign(b), [-1, 1, 1, 1, 1])
assert_equal(np.modf(b), ([0, 0, 0, 0, 0], b))
assert_equal(np.frexp(b), ([-0.5, 0.625, 0.5, 0.5, 0.75], [2, 3, 1, 3, 2]))
assert_equal(np.ldexp(b, [0, 1, 2, 4, 2]), [-2, 10, 4, 64, 12]) Example 42
def pbc_wrap_coords(coords_frac, copy=True, mask=[True]*3, xyz_axis=-1):
"""Apply periodic boundary conditions to array of fractional coords.
Wrap atoms with fractional coords > 1 or < 0 into the cell.
Parameters
----------
coords_frac : array 2d or 3d
fractional coords, if 3d then one axis is assumed to be a time axis and
the array is a MD trajectory or such
copy : bool
Copy coords_frac before applying pbc.
mask : sequence of bools, len = 3 for x,y,z
Apply pbc only x, y or z. E.g. [True, True, False] would not wrap the z
coordinate.
xyz_axis : the axis of `coords_frac` where the indices 0,1,2 pull out the x,y,z
coords. For a usual 2d array of coords with shape (natoms,3),
xyz_axis=1 (= last axis = -1). For a 3d array (natoms, nstep, 3),
xyz_axis=2 (also -1).
Returns
-------
coords_frac : array_like(coords_frac)
Array with all values in [0,1] except for those where ``mask[i]=False``.
Notes
-----
About the copy arg: If ``copy=False``, then this is an in-place operation
and the array in the global scope is modified! In fact, then these do the
same::
>>> a = pbc_wrap_coords(a, copy=False)
>>> pbc_wrap_coords(a, copy=False)
"""
assert coords_frac.shape[xyz_axis] == 3, "dim of xyz_axis of `coords_frac` must be == 3"
ndim = coords_frac.ndim
assert ndim in [2,3], "coords_frac must be 2d or 3d array"
tmp = coords_frac.copy() if copy else coords_frac
for i in range(3):
if mask[i]:
sl = [slice(None)]*ndim
sl[xyz_axis] = i
tmp[sl] = np.remainder(tmp[sl], 1.0)
return tmp Example 43
def test_half_ufuncs(self):
"""Test the various ufuncs"""
a = np.array([0, 1, 2, 4, 2], dtype=float16)
b = np.array([-2, 5, 1, 4, 3], dtype=float16)
c = np.array([0, -1, -np.inf, np.nan, 6], dtype=float16)
assert_equal(np.add(a, b), [-2, 6, 3, 8, 5])
assert_equal(np.subtract(a, b), [2, -4, 1, 0, -1])
assert_equal(np.multiply(a, b), [0, 5, 2, 16, 6])
assert_equal(np.divide(a, b), [0, 0.199951171875, 2, 1, 0.66650390625])
assert_equal(np.equal(a, b), [False, False, False, True, False])
assert_equal(np.not_equal(a, b), [True, True, True, False, True])
assert_equal(np.less(a, b), [False, True, False, False, True])
assert_equal(np.less_equal(a, b), [False, True, False, True, True])
assert_equal(np.greater(a, b), [True, False, True, False, False])
assert_equal(np.greater_equal(a, b), [True, False, True, True, False])
assert_equal(np.logical_and(a, b), [False, True, True, True, True])
assert_equal(np.logical_or(a, b), [True, True, True, True, True])
assert_equal(np.logical_xor(a, b), [True, False, False, False, False])
assert_equal(np.logical_not(a), [True, False, False, False, False])
assert_equal(np.isnan(c), [False, False, False, True, False])
assert_equal(np.isinf(c), [False, False, True, False, False])
assert_equal(np.isfinite(c), [True, True, False, False, True])
assert_equal(np.signbit(b), [True, False, False, False, False])
assert_equal(np.copysign(b, a), [2, 5, 1, 4, 3])
assert_equal(np.maximum(a, b), [0, 5, 2, 4, 3])
x = np.maximum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [0, 5, 1, 0, 6])
assert_equal(np.minimum(a, b), [-2, 1, 1, 4, 2])
x = np.minimum(b, c)
assert_(np.isnan(x[3]))
x[3] = 0
assert_equal(x, [-2, -1, -np.inf, 0, 3])
assert_equal(np.fmax(a, b), [0, 5, 2, 4, 3])
assert_equal(np.fmax(b, c), [0, 5, 1, 4, 6])
assert_equal(np.fmin(a, b), [-2, 1, 1, 4, 2])
assert_equal(np.fmin(b, c), [-2, -1, -np.inf, 4, 3])
assert_equal(np.floor_divide(a, b), [0, 0, 2, 1, 0])
assert_equal(np.remainder(a, b), [0, 1, 0, 0, 2])
assert_equal(np.square(b), [4, 25, 1, 16, 9])
assert_equal(np.reciprocal(b), [-0.5, 0.199951171875, 1, 0.25, 0.333251953125])
assert_equal(np.ones_like(b), [1, 1, 1, 1, 1])
assert_equal(np.conjugate(b), b)
assert_equal(np.absolute(b), [2, 5, 1, 4, 3])
assert_equal(np.negative(b), [2, -5, -1, -4, -3])
assert_equal(np.sign(b), [-1, 1, 1, 1, 1])
assert_equal(np.modf(b), ([0, 0, 0, 0, 0], b))
assert_equal(np.frexp(b), ([-0.5, 0.625, 0.5, 0.5, 0.75], [2, 3, 1, 3, 2]))
assert_equal(np.ldexp(b, [0, 1, 2, 4, 2]), [-2, 10, 4, 64, 12]) 