def render(self, name, value, attrs=None, choices=()):
"""
Renders this widget. HTML and JS code blocks all are rendered by this.
:return: The rendered markup.
:rtype: :py:obj:`unicode`
"""
if logger.isEnabledFor(logging.DEBUG):
t1 = util.timer_start('Select2Mixin.render')
args = [name, value, attrs]
if choices:
args.append(choices)
s = unicode(super(Select2Mixin, self).render(*args)) # Thanks to @ouhouhsami Issue#1
if RENDER_SELECT2_STATICS:
s += self.media.render()
final_attrs = self.build_attrs(attrs)
id_ = final_attrs.get('id', None)
s += self.render_js_code(id_, name, value, attrs, choices)
if logger.isEnabledFor(logging.DEBUG):
util.timer_end(t1)
logger.debug("Generated widget code:-\n%s", s)
return mark_safe(s)
def render(self, name, value, attrs=None, choices=()):
"""
Renders this widget. Html and JS code blocks all are rendered by this.
:return: The rendered markup.
:rtype: :py:obj:`unicode`
"""
if logger.isEnabledFor(logging.DEBUG):
t1 = util.timer_start('Select2Mixin.render')
args = [name, value, attrs]
if choices:
args.append(choices)
s = unicode(super(Select2Mixin, self).render(*args)) # Thanks to @ouhouhsami Issue#1
if RENDER_SELECT2_STATICS:
s += self.media.render()
final_attrs = self.build_attrs(attrs)
id_ = final_attrs.get('id', None)
s += self.render_js_code(id_, name, value, attrs, choices)
if logger.isEnabledFor(logging.DEBUG):
util.timer_end(t1)
logger.debug("Generated widget code:-\n%s", s)
return mark_safe(s)
def test_dist():
"""Testing function for the dist methods within the calc core module
Creates two arrays of random nth dimensional vectors and uses the
calc.dist_batch method to calculate and get the distances between
all the points"""
quantity = 1000000
rand_min = -100
rand_max = 100
dim = 3
print('Quantity: '+str(quantity))
print('Constructing random vector list...')
util.timer_start()
# u_vectors = []
# v_vectors = []
u_vectors = calc.doubleArray(quantity * dim)
v_vectors = calc.doubleArray(quantity * dim)
for i in range(quantity):
if i % 1000 == 0:
util.print_progress_bar(i, quantity)
# u_vectors.append(util.doubleArray(np.random.random_integers(rand_min, rand_max, (dim,)).astype(dtype=np.float64)))
# v_vectors.append(util.doubleArray(np.random.random_integers(rand_min, rand_max, (dim,)).astype(dtype=np.float64)))
u_tmp = np.random.random_integers(rand_min, rand_max, (dim,)).astype(dtype=np.float64)
v_tmp = np.random.random_integers(rand_min, rand_max, (dim,)).astype(dtype=np.float64)
for j in range(dim):
u_vectors[i * dim + j] = u_tmp[j]
v_vectors[i * dim + j] = v_tmp[j]
util.timer_stop('Completed random vector list construction', progress_bar=True)
# for i in range(quantity):
# v = calc.dist(u_vectors[i], v_vectors[i], dim)
print('Vector u[0]: '+str(u_vectors[0])+','+str(u_vectors[1])+','+str(u_vectors[2]))
print('Vector v[0]: '+str(v_vectors[0])+','+str(v_vectors[1])+','+str(v_vectors[2]))
util.timer_start()
batch = calc.dist_batch(u_vectors, v_vectors, dim, quantity * dim)
batch = calc.doubleArray_frompointer(batch)
util.timer_stop('M5')
print('Result: '+str(batch[0]))
c = a - b
return np.dot(c, c)**(1 / 2)
def dist5(a, b):
return calc.dist(doubleArray(a), doubleArray(b), len(a))
rand_min = -100
rand_max = 100
dim = 3
u_vectors = []
v_vectors = []
print('Constructing random vector list...')
timer_start()
for i in range(1000000):
u_vectors.append(np.random.random_integers(rand_min, rand_max, (dim, )))
v_vectors.append(np.random.random_integers(rand_min, rand_max, (dim, )))
timer_stop('Completed random vector list construction')
print('sample: u=' + str(u_vectors[0]) + ',v=' + str(v_vectors[0]))
# # M1
# timer_start()
# for n in range(len(u_vectors)):
# v = dist(u_vectors[n], v_vectors[n])
# timer_stop('M1')
#
# # M2
# timer_start()