input stringlengths 11 7.65k | target stringlengths 22 8.26k |
|---|---|
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_int_range_inclusive(self):
int_range = inputs.int_range(1, 5)
assert_equal(5, int_range(5)) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_int_range_low(self):
int_range = inputs.int_range(0, 5)
assert_raises(ValueError, lambda: int_range(-1)) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_int_range_high(self):
int_range = inputs.int_range(0, 5)
assert_raises(ValueError, lambda: int_range(6)) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_isointerval():
intervals = [
(
# Full precision with explicit UTC.
"2013-01-01T12:30:00Z/P1Y2M3DT4H5M6S",
(
datetime(2013, 1, 1, 12, 30, 0, tzinfo=pytz.utc),
datetime(2014, 3, 5, 16, 35, 6, tzinfo=pytz.utc),
),
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_invalid_isointerval_error():
try:
inputs.iso8601interval('2013-01-01/blah')
except ValueError as error:
assert_equal(
str(error),
"Invalid argument: 2013-01-01/blah. argument must be a valid ISO8601 "
"date/time interval.",
)
return
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_bad_isointervals():
bad_intervals = [
'2013-01T14:',
'',
'asdf',
'01/01/2013',
]
for bad_interval in bad_intervals:
yield (
assert_raises,
Exception,
inputs.iso8601interval,
bad_interval,
) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def _create_3d_axis():
"""creates a subplot with 3d projection if one does not already exist"""
from matplotlib.projections import get_projection_class
from matplotlib import _pylab_helpers
create_axis = True
if _pylab_helpers.Gcf.get_active() is not None:
if isinstance(plt.gca(), get_proje... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def _plot_surface(ax, x, y, z, labels, azim=None):
"""helper function for surface plots"""
# ax.tick_params(axis='both', which='major', pad=-3)
assert np.size(x) > 1 and np.size(y) > 1 and np.size(z) > 1
if azim is not None:
ax.azim = azim
X, Y = np.meshgrid(x, y)
Z = np.ma.masked_invali... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def label_line(ax, X, Y, U, V, label, color='k', size=8):
"""Add a label to a line, at the proper angle.
Arguments
---------
line : matplotlib.lines.Line2D object,
label : str
x : float
x-position to place center of text (in data coordinated
y : float
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def i1beta_phasor(up, i1, beta, r1, xd, xq, ax=0):
"""creates a phasor plot
up: internal voltage
i1: current
beta: angle i1 vs up [deg]
r1: resistance
xd: reactance in direct axis
xq: reactance in quadrature axis"""
i1d, i1q = (i1*np.sin(beta/180*np.pi), i1*np.cos(beta/180*np.pi))
u... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def iqd_phasor(up, iqd, uqd, ax=0):
"""creates a phasor plot
up: internal voltage
iqd: current
uqd: terminal voltage"""
uxdq = (uqd[1]/np.sqrt(2), (uqd[0]/np.sqrt(2)-up))
__phasor_plot(ax, up, (iqd[1]/np.sqrt(2), iqd[0]/np.sqrt(2)), uxdq) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def phasor(bch, ax=0):
"""create phasor plot from bch"""
f1 = bch.machine['p']*bch.dqPar['speed']
w1 = 2*np.pi*f1
xd = w1*bch.dqPar['ld'][-1]
xq = w1*bch.dqPar['lq'][-1]
r1 = bch.machine['r1']
i1beta_phasor(bch.dqPar['up'][-1],
bch.dqPar['i1'][-1], bch.dqPar['beta'][-1],
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def airgap(airgap, ax=0):
"""creates plot of flux density in airgap"""
if ax == 0:
ax = plt.gca()
ax.set_title('Airgap Flux Density [T]')
ax.plot(airgap['pos'], airgap['B'],
label='Max {:4.2f} T'.format(max(airgap['B'])))
ax.plot(airgap['pos'], airgap['B_fft'],
label=... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def airgap_fft(airgap, bmin=1e-2, ax=0):
"""plot airgap harmonics"""
unit = 'T'
if ax == 0:
ax = plt.gca()
ax.set_title('Airgap Flux Density Harmonics / {}'.format(unit))
ax.grid(True)
order, fluxdens = np.array([(n, b) for n, b in zip(airgap['nue'],
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def torque(pos, torque, ax=0):
"""creates plot from torque vs position"""
k = 20
alpha = np.linspace(pos[0], pos[-1],
k*len(torque))
f = ip.interp1d(pos, torque, kind='quadratic')
unit = 'Nm'
scale = 1
if np.min(torque) < -9.9e3 or np.max(torque) > 9.9e3:
scal... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def torque_fft(order, torque, ax=0):
"""plot torque harmonics"""
unit = 'Nm'
scale = 1
if np.min(torque) < -9.9e3 or np.max(torque) > 9.9e3:
scale = 1e-3
unit = 'kNm'
if ax == 0:
ax = plt.gca()
ax.set_title('Torque Harmonics / {}'.format(unit))
ax.grid(True)
try:... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def force(title, pos, force, xlabel='', ax=0):
"""plot force vs position"""
unit = 'N'
scale = 1
if min(force) < -9.9e3 or max(force) > 9.9e3:
scale = 1e-3
unit = 'kN'
if ax == 0:
ax = plt.gca()
ax.set_title('{} / {}'.format(title, unit))
ax.grid(True)
ax.plot(pos... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def force_fft(order, force, ax=0):
"""plot force harmonics"""
unit = 'N'
scale = 1
if min(force) < -9.9e3 or max(force) > 9.9e3:
scale = 1e-3
unit = 'kN'
if ax == 0:
ax = plt.gca()
ax.set_title('Force Harmonics / {}'.format(unit))
ax.grid(True)
try:
bw = 2... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def forcedens(title, pos, fdens, ax=0):
"""plot force densities"""
if ax == 0:
ax = plt.gca()
ax.set_title(title)
ax.grid(True)
ax.plot(pos, [1e-3*ft for ft in fdens[0]], label='F tang')
ax.plot(pos, [1e-3*fn for fn in fdens[1]], label='F norm')
ax.legend()
ax.set_xlabel('Pos / ... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def forcedens_surface(fdens, ax=0):
if ax == 0:
_create_3d_axis()
ax = plt.gca()
xpos = [p for p in fdens.positions[0]['X']]
ypos = [p['position'] for p in fdens.positions]
z = 1e-3*np.array([p['FN']
for p in fdens.positions])
_plot_surface(ax, xpos, ypos, z,
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def forcedens_fft(title, fdens, ax=0):
"""plot force densities FFT
Args:
title: plot title
fdens: force density object
"""
if ax == 0:
ax = plt.axes(projection="3d")
F = 1e-3*fdens.fft()
fmin = 0.2
num_bars = F.shape[0] + 1
_xx, _yy = np.meshgrid(np.arange(1, num_bar... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def winding_flux(pos, flux, ax=0):
"""plot flux vs position"""
if ax == 0:
ax = plt.gca()
ax.set_title('Winding Flux / Vs')
ax.grid(True)
for p, f in zip(pos, flux):
ax.plot(p, f) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def winding_current(pos, current, ax=0):
"""plot winding currents"""
if ax == 0:
ax = plt.gca()
ax.set_title('Winding Currents / A')
ax.grid(True)
for p, i in zip(pos, current):
ax.plot(p, i) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def voltage(title, pos, voltage, ax=0):
"""plot voltage vs. position"""
if ax == 0:
ax = plt.gca()
ax.set_title('{} / V'.format(title))
ax.grid(True)
ax.plot(pos, voltage) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def voltage_fft(title, order, voltage, ax=0):
"""plot FFT harmonics of voltage"""
if ax == 0:
ax = plt.gca()
ax.set_title('{} / V'.format(title))
ax.grid(True)
if max(order) < 5:
order += [5]
voltage += [0]
try:
bw = 2.5E-2*max(order)
ax.bar(order, voltage... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def mcv_hbj(mcv, log=True, ax=0):
"""plot H, B, J of mcv dict"""
import femagtools.mcv
MUE0 = 4e-7*np.pi
ji = []
csiz = len(mcv['curve'])
if ax == 0:
ax = plt.gca()
ax.set_title(mcv['name'])
for k, c in enumerate(mcv['curve']):
bh = [(bi, hi*1e-3)
for bi, h... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def mcv_muer(mcv, ax=0):
"""plot rel. permeability vs. B of mcv dict"""
MUE0 = 4e-7*np.pi
bi, ur = zip(*[(bx, bx/hx/MUE0)
for bx, hx in zip(mcv['curve'][0]['bi'],
mcv['curve'][0]['hi']) if not hx == 0])
if ax == 0:
ax = plt.gca()
ax.plo... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def mtpa(pmrel, i1max, title='', projection='', ax=0):
"""create a line or surface plot with torque and mtpa curve"""
nsamples = 10
i1 = np.linspace(0, i1max, nsamples)
iopt = np.array([pmrel.mtpa(x) for x in i1]).T
iqmax, idmax = pmrel.iqdmax(i1max)
iqmin, idmin = pmrel.iqdmin(i1max)
if p... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def mtpv(pmrel, u1max, i1max, title='', projection='', ax=0):
"""create a line or surface plot with voltage and mtpv curve"""
w1 = pmrel.w2_imax_umax(i1max, u1max)
nsamples = 20
if projection == '3d':
nsamples = 50
iqmax, idmax = pmrel.iqdmax(i1max)
iqmin, idmin = pmrel.iqdmin(i1max)
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def __get_linearForce_title_keys(lf):
if 'force_r' in lf:
return ['Force r', 'Force z'], ['force_r', 'force_z']
return ['Force x', 'Force y'], ['force_x', 'force_y'] |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def pmrelsim(bch, title=''):
"""creates a plot of a PM/Rel motor simulation"""
cols = 2
rows = 4
if len(bch.flux['1']) > 1:
rows += 1
htitle = 1.5 if title else 0
fig, ax = plt.subplots(nrows=rows, ncols=cols,
figsize=(10, 3*rows + htitle))
if title:
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def multcal(bch, title=''):
"""creates a plot of a MULT CAL simulation"""
cols = 2
rows = 4
htitle = 1.5 if title else 0
fig, ax = plt.subplots(nrows=rows, ncols=cols,
figsize=(10, 3*rows + htitle))
if title:
fig.suptitle(title, fontsize=16)
row = 1
pl... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def fasttorque(bch, title=''):
"""creates a plot of a Fast Torque simulation"""
cols = 2
rows = 4
if len(bch.flux['1']) > 1:
rows += 1
htitle = 1.5 if title else 0
fig, ax = plt.subplots(nrows=rows, ncols=cols,
figsize=(10, 3*rows + htitle))
if title:
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def cogging(bch, title=''):
"""creates a cogging plot"""
cols = 2
rows = 3
htitle = 1.5 if title else 0
fig, ax = plt.subplots(nrows=rows, ncols=cols,
figsize=(10, 3*rows + htitle))
if title:
fig.suptitle(title, fontsize=16)
row = 1
plt.subplot(rows, ... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def transientsc(bch, title=''):
"""creates a transient short circuit plot"""
cols = 1
rows = 2
htitle = 1.5 if title else 0
fig, ax = plt.subplots(nrows=rows, ncols=cols,
figsize=(10, 3*rows + htitle))
if title:
fig.suptitle(title, fontsize=16)
row = 1
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def i1beta_torque(i1, beta, torque, title='', ax=0):
"""creates a surface plot of torque vs i1, beta"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
azim = 210
if 0 < np.mean(beta) or -90 > np.mean(beta):
azim = -60
unit = 'Nm'
scale = 1
if np.min(torque) < -9.9e3 or ... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def i1beta_ld(i1, beta, ld, ax=0):
"""creates a surface plot of ld vs i1, beta"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
_plot_surface(ax, i1, beta, np.asarray(ld)*1e3,
(u'I1/A', u'Beta/°', u'Ld/mH'),
azim=60) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def i1beta_lq(i1, beta, lq, ax=0):
"""creates a surface plot of ld vs i1, beta"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
azim = 60
if 0 < np.mean(beta) or -90 > np.mean(beta):
azim = -120
_plot_surface(ax, i1, beta, np.asarray(lq)*1e3,
(u'I1/A', u'Beta... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def i1beta_psim(i1, beta, psim, ax=0):
"""creates a surface plot of psim vs i1, beta"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
_plot_surface(ax, i1, beta, psim,
(u'I1/A', u'Beta/°', u'Psi m/Vs'),
azim=60) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def i1beta_up(i1, beta, up, ax=0):
"""creates a surface plot of up vs i1, beta"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
_plot_surface(ax, i1, beta, up,
(u'I1/A', u'Beta/°', u'Up/V'),
azim=60) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def i1beta_psid(i1, beta, psid, ax=0):
"""creates a surface plot of psid vs i1, beta"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
azim = -60
if 0 < np.mean(beta) or -90 > np.mean(beta):
azim = 60
_plot_surface(ax, i1, beta, psid,
(u'I1/A', u'Beta/°', u'Ps... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def i1beta_psiq(i1, beta, psiq, ax=0):
"""creates a surface plot of psiq vs i1, beta"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
azim = 210
if 0 < np.mean(beta) or -90 > np.mean(beta):
azim = -60
_plot_surface(ax, i1, beta, psiq,
(u'I1/A', u'Beta/°', u'P... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def idq_torque(id, iq, torque, ax=0):
"""creates a surface plot of torque vs id, iq"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
unit = 'Nm'
scale = 1
if np.min(torque) < -9.9e3 or np.max(torque) > 9.9e3:
scale = 1e-3
unit = 'kNm'
_plot_surface(ax, id, iq, scal... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def idq_psid(id, iq, psid, ax=0):
"""creates a surface plot of psid vs id, iq"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
_plot_surface(ax, id, iq, psid,
(u'Id/A', u'Iq/A', u'Psi d/Vs'),
azim=210) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def idq_psiq(id, iq, psiq, ax=0):
"""creates a surface plot of psiq vs id, iq"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
_plot_surface(ax, id, iq, psiq,
(u'Id/A', u'Iq/A', u'Psi q/Vs'),
azim=210) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def idq_psim(id, iq, psim, ax=0):
"""creates a surface plot of psim vs. id, iq"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
_plot_surface(ax, id, iq, psim,
(u'Id/A', u'Iq/A', u'Psi m [Vs]'),
azim=120) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def idq_ld(id, iq, ld, ax=0):
"""creates a surface plot of ld vs. id, iq"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
_plot_surface(ax, id, iq, np.asarray(ld)*1e3,
(u'Id/A', u'Iq/A', u'L d/mH'),
azim=120) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def idq_lq(id, iq, lq, ax=0):
"""creates a surface plot of lq vs. id, iq"""
if ax == 0:
_create_3d_axis()
ax = plt.gca()
_plot_surface(ax, id, iq, np.asarray(lq)*1e3,
(u'Id/A', u'Iq/A', u'L q/mH'),
azim=120) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def ldlq(bch):
"""creates the surface plots of a BCH reader object
with a ld-lq identification"""
beta = bch.ldq['beta']
i1 = bch.ldq['i1']
torque = bch.ldq['torque']
ld = np.array(bch.ldq['ld'])
lq = np.array(bch.ldq['lq'])
psid = bch.ldq['psid']
psiq = bch.ldq['psiq']
rows = 3... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def psidq(bch):
"""creates the surface plots of a BCH reader object
with a psid-psiq identification"""
id = bch.psidq['id']
iq = bch.psidq['iq']
torque = bch.psidq['torque']
ld = np.array(bch.psidq_ldq['ld'])
lq = np.array(bch.psidq_ldq['lq'])
psim = bch.psidq_ldq['psim']
psid = bch.... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def felosses(losses, coeffs, title='', log=True, ax=0):
"""plot iron losses with steinmetz or jordan approximation
Args:
losses: dict with f, B, pfe values
coeffs: list with steinmetz (cw, alpha, beta) or
jordan (cw, alpha, ch, beta, gamma) coeffs
title: title string
log: l... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def spel(isa, with_axis=False, ax=0):
"""plot super elements of I7/ISA7 model
Args:
isa: Isa7 object
"""
from matplotlib.patches import Polygon
if ax == 0:
ax = plt.gca()
ax.set_aspect('equal')
for se in isa.superelements:
ax.add_patch(Polygon([n.xy
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def mesh(isa, with_axis=False, ax=0):
"""plot mesh of I7/ISA7 model
Args:
isa: Isa7 object
"""
from matplotlib.lines import Line2D
if ax == 0:
ax = plt.gca()
ax.set_aspect('equal')
for el in isa.elements:
pts = [list(i) for i in zip(*[v.xy for v in el.vertices])]
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def _contour(ax, title, elements, values, label='', isa=None):
from matplotlib.patches import Polygon
from matplotlib.collections import PatchCollection
if ax == 0:
ax = plt.gca()
ax.set_aspect('equal')
ax.set_title(title, fontsize=18)
if isa:
for se in isa.superelements:
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def demag(isa, ax=0):
"""plot demag of NC/I7/ISA7 model
Args:
isa: Isa7/NC object
"""
emag = [e for e in isa.elements if e.is_magnet()]
demag = np.array([e.demagnetization(isa.MAGN_TEMPERATURE) for e in emag])
_contour(ax, f'Demagnetization at {isa.MAGN_TEMPERATURE} °C',
emag,... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def demag_pos(isa, pos, icur=-1, ibeta=-1, ax=0):
"""plot demag of NC/I7/ISA7 model at rotor position
Args:
isa: Isa7/NC object
pos: rotor position in degree
icur: cur amplitude index or last index if -1
ibeta: beta angle index or last index if -1
"""
emag = [e for e in isa.eleme... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def flux_density(isa, subreg=[], ax=0):
"""plot flux density of NC/I7/ISA7 model
Args:
isa: Isa7/NC object
"""
if subreg:
if isinstance(subreg, list):
sr = subreg
else:
sr = [subreg]
elements = [e for s in sr for se in isa.get_subregion(s).elements()... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def loss_density(isa, subreg=[], ax=0):
"""plot loss density of NC/I7/ISA7 model
Args:
isa: Isa7/NC object
"""
if subreg:
if isinstance(subreg, list):
sr = subreg
else:
sr = [subreg]
elements = [e for s in sr for sre in isa.get_subregion(s).elements(... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def mmf(f, title='', ax=0):
"""plot magnetomotive force (mmf) of winding"""
if ax == 0:
ax = plt.gca()
if title:
ax.set_title(title)
ax.plot(np.array(f['pos'])/np.pi*180, f['mmf'])
ax.plot(np.array(f['pos_fft'])/np.pi*180, f['mmf_fft'])
ax.set_xlabel('Position / Deg')
phi = ... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def mmf_fft(f, title='', mmfmin=1e-2, ax=0):
"""plot winding mmf harmonics"""
if ax == 0:
ax = plt.gca()
if title:
ax.set_title(title)
else:
ax.set_title('MMF Harmonics')
ax.grid(True)
order, mmf = np.array([(n, m) for n, m in zip(f['nue'],
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def zoneplan(wdg, ax=0):
"""plot zone plan of winding wdg"""
from matplotlib.patches import Rectangle
upper, lower = wdg.zoneplan()
Qb = len([n for l in upper for n in l])
from femagtools.windings import coil_color
rh = 0.5
if lower:
yl = rh
ymax = 2*rh + 0.2
else:
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def winding_factors(wdg, n=8, ax=0):
"""plot winding factors"""
ax = plt.gca()
ax.set_title(f'Winding factors Q={wdg.Q}, p={wdg.p}, q={round(wdg.q,4)}')
ax.grid(True)
order, kwp, kwd, kw = np.array([(n, k1, k2, k3)
for n, k1, k2, k3 in zip(wdg.kw_order(n),
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def winding(wdg, ax=0):
"""plot coils of windings wdg"""
from matplotlib.patches import Rectangle
from matplotlib.lines import Line2D
from femagtools.windings import coil_color
coil_len = 25
coil_height = 4
dslot = 8
arrow_head_length = 2
arrow_head_width = 2
if ax == 0:
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def main():
import io
import sys
import argparse
from .__init__ import __version__
from femagtools.bch import Reader
argparser = argparse.ArgumentParser(
description='Read BCH/BATCH/PLT file and create a plot')
argparser.add_argument('filename',
help='name... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def characteristics(char, title=''):
fig, axs = plt.subplots(2, 2, figsize=(10, 8), sharex=True)
if title:
fig.suptitle(title)
n = np.array(char['n'])*60
pmech = np.array(char['pmech'])*1e-3
axs[0, 0].plot(n, np.array(char['T']), 'C0-', label='Torque')
axs[0, 0].set_ylabel("Torque / Nm... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def runcmd(cmd, **kw): # same code as in getlino.py
"""Run the cmd similar as os.system(), but stop when Ctrl-C."""
# kw.update(stdout=subprocess.PIPE)
# kw.update(stderr=subprocess.STDOUT)
kw.update(shell=True)
kw.update(universal_newlines=True)
kw.update(check=True)
# subprocess.check_out... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def add_arguments(self, parser):
parser.add_argument('--noinput', action='store_false',
dest='interactive', default=True,
help='Do not prompt for input of any kind.')
parser.add_argument('-l', '--list', action='store_true',
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_watch_task(client):
user = f.UserFactory.create()
task = f.create_task(owner=user, milestone=None)
f.MembershipFactory.create(project=task.project, user=user, is_admin=True)
url = reverse("tasks-watch", args=(task.id,))
client.login(user)
response = client.post(url)
assert respons... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_unwatch_task(client):
user = f.UserFactory.create()
task = f.create_task(owner=user, milestone=None)
f.MembershipFactory.create(project=task.project, user=user, is_admin=True)
url = reverse("tasks-watch", args=(task.id,))
client.login(user)
response = client.post(url)
assert respo... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_list_task_watchers(client):
user = f.UserFactory.create()
task = f.TaskFactory(owner=user)
f.MembershipFactory.create(project=task.project, user=user, is_admin=True)
f.WatchedFactory.create(content_object=task, user=user)
url = reverse("task-watchers-list", args=(task.id,))
client.logi... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_get_task_watcher(client):
user = f.UserFactory.create()
task = f.TaskFactory(owner=user)
f.MembershipFactory.create(project=task.project, user=user, is_admin=True)
watch = f.WatchedFactory.create(content_object=task, user=user)
url = reverse("task-watchers-detail", args=(task.id, watch.user... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_get_task_watchers(client):
user = f.UserFactory.create()
task = f.TaskFactory(owner=user)
f.MembershipFactory.create(project=task.project, user=user, is_admin=True)
url = reverse("tasks-detail", args=(task.id,))
f.WatchedFactory.create(content_object=task, user=user)
client.login(user... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_get_task_is_watcher(client):
user = f.UserFactory.create()
task = f.create_task(owner=user, milestone=None)
f.MembershipFactory.create(project=task.project, user=user, is_admin=True)
url_detail = reverse("tasks-detail", args=(task.id,))
url_watch = reverse("tasks-watch", args=(task.id,))
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def __init__(self):
self.var = 0 |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def connect ():
'''
Create the connection to the MongoDB and create 3 collections needed
'''
try:
# Create the connection to the local host
conn = pymongo.MongoClient()
print 'MongoDB Connection Successful'
except pymongo.errors.ConnectionFailure, err:
print 'MongoDB... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def __init__(self):
self.var = 1 # self.var will be overwritten
C.__init__(self) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def __init__(self):
self.var = 0 # self.var will be overwritten |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def make_new_rsa_key_weak(bits):
return RSA.generate(bits) # NOT OK |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def _build_gravatar_url(email, params):
"""Generate a Gravatar URL. |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def make_new_rsa_key_strong(bits):
return RSA.generate(bits) # OK |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def __init__(self, email, params):
self.email = email
self.params = params |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def render(self, context):
try:
if self.params:
params = template.Variable(self.params).resolve(context)
else:
params = {}
# try matching an address string literal
email_literal = self.email.strip().lower()
if EMAIL_RE.... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def __init__(self): # pylint: disable=super-init-not-called
pass |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_parse_sections():
simple_mariofile_sections = dict(mariofile.parse_sections(SIMPLE_MARIOFILE.splitlines(True)))
assert len(simple_mariofile_sections) == 3
complex_mariofile_sections = dict(mariofile.parse_sections(COMPLEX_MARIOFILE.splitlines(True)))
assert len(complex_mariofile_sections) == 2
... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def setUp(self):
super(BaseSuggestionUnitTests, self).setUp()
self.base_suggestion = MockInvalidSuggestion() |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_statements():
with pytest.raises(mariofile.ConfigurationFileError):
mariofile.parse_section_body(CRASH_MARIOFILE_1.splitlines())
with pytest.raises(mariofile.ConfigurationFileError):
mariofile.parse_section_body(CRASH_MARIOFILE_2.splitlines()) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_base_class_accept_raises_error(self):
with self.assertRaisesRegex(
NotImplementedError,
'Subclasses of BaseSuggestion should implement accept.'):
self.base_suggestion.accept() |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_parse_statements():
parsed_statement = mariofile.parse_statements(STRING_PARSE_STATEMENTS.splitlines())
assert '\n'.join(parsed_statement) == "statement\nstatement con commento" |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_base_class_get_change_list_for_accepting_suggestion_raises_error(
self):
with self.assertRaisesRegex(
NotImplementedError,
'Subclasses of BaseSuggestion should implement '
'get_change_list_for_accepting_suggestion.'):
self.base_suggestion.get_... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_parse_section_body():
output_section = {
'action_template': ' task',
'sources_repls': 'source',
'variable': '6',
'target_pattern': 'target',
}
assert mariofile.parse_section_body(SECTION.splitlines(True)) == output_section
with pytest.raises(mariofile.Configur... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_base_class_pre_accept_validate_raises_error(self):
with self.assertRaisesRegex(
NotImplementedError,
'Subclasses of BaseSuggestion should implement'
' pre_accept_validate.'):
self.base_suggestion.pre_accept_validate() |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_parse_include():
filepaths, current_line = mariofile.parse_include(INCLUDE_FILE.splitlines(True))
assert filepaths == ['prova.ini', 'altrofile.ini']
assert current_line == 4
filepaths, current_line = mariofile.parse_include(INCLUDE_UNIQUE_FILE.splitlines(True))
assert filepaths == ['prova.i... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_base_class_populate_old_value_of_change_raises_error(self):
with self.assertRaisesRegex(
NotImplementedError,
'Subclasses of BaseSuggestion should implement'
' populate_old_value_of_change.'):
self.base_suggestion.populate_old_value_of_change() |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_base_class_pre_update_validate_raises_error(self):
with self.assertRaisesRegex(
NotImplementedError,
'Subclasses of BaseSuggestion should implement'
' pre_update_validate.'):
self.base_suggestion.pre_update_validate({}) |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_base_class_get_all_html_content_strings(self):
with self.assertRaisesRegex(
NotImplementedError,
'Subclasses of BaseSuggestion should implement'
' get_all_html_content_strings.'):
self.base_suggestion.get_all_html_content_strings() |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_base_class_get_target_entity_html_strings(self):
with self.assertRaisesRegex(
NotImplementedError,
'Subclasses of BaseSuggestion should implement'
' get_target_entity_html_strings.'):
self.base_suggestion.get_target_entity_html_strings() |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def setUp(self):
super(SuggestionEditStateContentUnitTests, self).setUp()
self.signup(self.AUTHOR_EMAIL, 'author')
self.author_id = self.get_user_id_from_email(self.AUTHOR_EMAIL)
self.signup(self.REVIEWER_EMAIL, 'reviewer')
self.reviewer_id = self.get_user_id_from_email(self.REV... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_create_suggestion_edit_state_content(self):
expected_suggestion_dict = self.suggestion_dict
observed_suggestion = suggestion_registry.SuggestionEditStateContent(
expected_suggestion_dict['suggestion_id'],
expected_suggestion_dict['target_id'],
expected_sugge... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_get_score_part_helper_methods(self):
expected_suggestion_dict = self.suggestion_dict
suggestion = suggestion_registry.SuggestionEditStateContent(
expected_suggestion_dict['suggestion_id'],
expected_suggestion_dict['target_id'],
expected_suggestion_dict['targ... |
def dist(a, b):
return sum((i-j)**2 for i, j in zip(a, b)) | def test_validate_target_version_at_submission(self):
expected_suggestion_dict = self.suggestion_dict
suggestion = suggestion_registry.SuggestionEditStateContent(
expected_suggestion_dict['suggestion_id'],
expected_suggestion_dict['target_id'],
expected_suggestion_dic... |
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