def cross_correlation_2d(img, kernel):
# 1. padding image - about O(N^2).
size0 = img.shape[0]
size1 = img.shape[1]
k_size = kernel.shape[0]
padded_img = image_padding_2d(img, k_size // 2)
# 2. apply cross correlation using iteration - O(N^2 * K^2).
filtered_img = np.zeros((size0, size1))
y_range = range(size1)
elapsed_ = list(range(0, size0, size0 // 20))
for x in range(size0):
for y in y_range:
# at each (x, y) point, cross correlation using kernel is calculated.
_sum = 0
for i in range(x, x + k_size):
for j in range(y, y + k_size):
_sum = operator.__add__(
_sum,
operator.__mul__(padded_img[i][j],
kernel[i - x][j - y]))
filtered_img[x][y] = _sum
#print('%.04f'%(filtered_img[x][y]), end=' ')
#print()
if x in elapsed_:
print('.', end='')
#print(filtered_img)
#filtered_img = filtered_img.astype('uint8')
return filtered_img
def prepare_dataset(self, summarized_text):
if not os.path.isdir(self.upload_path):
os.mkdir(self.upload_path)
if os.path.exists(self.upload_file) and os.path.isfile(
self.upload_file):
with open(self.upload_file, "r") as tsvfile:
tsvread = csv.reader(tsvfile, delimiter="\t")
existing_bytes = list(map(lambda c: c, tsvread))
tsvfile.close()
try:
with open(self.upload_file, "wt") as tsvfile:
tsv = csv.writer(tsvfile, delimiter="\t")
y = operator.__add__(int(existing_bytes[-2][1]), 1)
existing_bytes.append(['ID', y])
existing_bytes.append(["Text", summarized_text])
for k, row in enumerate(existing_bytes):
tsv.writerow([row[0], row[1]])
tsvfile.close()
pass
except NameError:
with open(self.upload_file, "wt") as tsvfile:
tsv = csv.writer(tsvfile, delimiter="\t")
tsv.writerow(["ID", "1"])
tsv.writerow(["Text", summarized_text])
tsvfile.close()
def test_basic(self):
# 5 + 4 * 2
standard_result = a + b * c
# (+ 5 (* 4 2))
operator_result = operator.__add__(
a,
operator.__mul__(
b,
c
)
)
node_result = outer.__call__() # evaluate via __call__
self.assertEqual(node_result, operator_result)
self.assertEqual(node_result, standard_result)
from operator import __add__
from db_executer import Db_executer
db_name = r"C:\Users\cp24\Desktop\Akademia Kodu\Project2\clinic.db"
db = Db_executer(db_name)
print(db.select_all_tasks("patients"))
db.close_conn() # to w try except
print(__name__)
print(__add__(1, 2))
def eval(self, env):
return operator.__add__(self.left.eval(env), self.right.eval(env))
def __add__(self, value):
return operator.__add__(self._tensor, value)
def compute_corner_response(img):
## a) apply Sobel filters
# Sobel filtering function is implemented in filtering_by_yoseob.py
# sobel_img_x, sobel_img_y is derivatives along x and y direction respectively.
sobel_img_x, sobel_img_y = my_sobel_filtering(img)
# padded with 0 value to operate corner response
sobel_img_x = image_padding_2d(sobel_img_x, 2,
1) # (img, padd_width, type=1)
sobel_img_y = image_padding_2d(sobel_img_y, 2,
1) # type=1 means just padd with zeros.
## b) compute second moment matrix M
uni_window = np.ones((5, 5))
patch_img_x = np.zeros((5, 5))
patch_img_y = np.zeros((5, 5))
size0 = img.shape[0]
size1 = img.shape[1]
## c) variables for computing corner responses
R = np.zeros((size0, size1))
_k = 0.04
_max_val = 0
elapsed_ = list(range(0, size0, size0 // 20))
for x in range(size0):
for y in range(size1):
# i. subtract mean of each image patch
_sum_x = 0.
_sum_y = 0.
for i in range(x, x + 5):
for j in range(y, y + 5):
patch_img_x[i - x][j - y] = sobel_img_x[i][j]
_sum_x = operator.__add__(_sum_x, sobel_img_x[i][j])
patch_img_y[i - x][j - y] = sobel_img_y[i][j]
_sum_y = operator.__add__(_sum_y, sobel_img_y[i][j])
_avg_x = operator.__truediv__(_sum_x, 25)
_avg_y = operator.__truediv__(_sum_y, 25)
sum_of_ix_ix = 0.
sum_of_ix_iy = 0.
sum_of_iy_iy = 0.
for i in range(5):
for j in range(5):
patch_img_x[i][j] = operator.__sub__(
patch_img_x[i][j], _avg_x)
patch_img_y[i][j] = operator.__sub__(
patch_img_y[i][j], _avg_y)
sum_of_ix_ix = operator.__add__(
sum_of_ix_ix,
operator.__mul__(patch_img_x[i][j], patch_img_x[i][j]))
sum_of_ix_iy = operator.__add__(
sum_of_ix_iy,
operator.__mul__(patch_img_x[i][j], patch_img_y[i][j]))
sum_of_iy_iy = operator.__add__(
sum_of_iy_iy,
operator.__mul__(patch_img_y[i][j], patch_img_y[i][j]))
# ii. get second moment matrix
# since we use uniform window, just calculated the summation of ix_ix, ix_iy, iy_iy respectively (above).
M = np.array([[sum_of_ix_ix, sum_of_ix_iy],
[sum_of_ix_iy, sum_of_iy_iy]])
eigenvalues, _ = np.linalg.eig(M)
#print(eigen_values)
e1 = eigenvalues[0]
e2 = eigenvalues[1]
R[x][y] = e1 * e2 - _k * ((e1 + e2)**2)
## d) normalize responses
# i. negative values to 0, otherwise normalize to range [0, 1]
if R[x][y] < 0:
R[x][y] = 0
if R[x][y] > _max_val:
_max_val = R[x][y]
if x in elapsed_:
print('.', end='')
#print("_max_val:", _max_val)
#normalizer = 1.
#if _max_val != 0:
# normalizer = 1 / _max_val
#normalizer = 1 / 255
#normalizer = 1 / np.linalg.norm(R)
for x in range(size0):
for y in range(size1):
R[x][y] = operator.__truediv__(R[x][y], _max_val)
return R
map(add(2), [1,2,3,4,5])
"""
import operator
from spycy import spice
__all__ = [
'add', 'and_', 'contains', 'concat', 'countOf', 'eq', 'floordiv', 'ge',
'getitem', 'gt', 'indexOf', 'is_', 'is_not', 'le', 'lshift', 'lt',
'matmul', 'mod', 'mul', 'ne', 'or_', 'pos', 'pow', 'rshift', 'sub',
'truediv', 'xor', 'neg', 'not_', 'index', 'itemgetter', 'methodcaller',
'attrgetter', 'truth'
]
add = spice(lambda x, y: operator.__add__(x, y),
name='add',
doc=operator.add.__doc__)
__add__ = spice(lambda x, y: operator.__add__(x, y),
name='__add__',
doc=operator.add.__doc__)
and_ = spice(lambda x, y: operator.and_(x, y),
name='and_',
doc=operator.and_.__doc__)
__and__ = spice(lambda x, y: operator.__and__(x, y),
name='__and__',
doc=operator.and_.__doc__)
__contains__ = spice(lambda x, y: operator.__contains__(x, y),
name='__contains__',
def __add__(self, other):
with self._lock:
return operator.__add__(self.__wrapped__, other)
elapsed_desk = list(range(0, len(kp_desk), len(kp_desk) // 20))
kp_desk_len = len(kp_desk)
kp_cover_len = len(kp_cover)
des_len = len(des_desk[0])
for i in range(kp_desk_len):
_matches_desk_to_cover[i][1] = i
desk_i = des_desk[i]
for j in range(kp_cover_len):
dist = 0
_matches_cover_to_desk[j][1] = j
cover_j = des_cover[j]
for k in range(des_len):
dist = operator.__add__(dist, precalcHD[desk_i[k]][cover_j[k]])
if dist < _matches_desk_to_cover[i][0]:
_matches_desk_to_cover[i][0] = dist
_matches_desk_to_cover[i][2] = j
if dist < _matches_cover_to_desk[j][0]:
_matches_cover_to_desk[j][0] = dist
_matches_cover_to_desk[j][2] = i
if i in elapsed_desk:
print('.', end='')
_matches_desk_to_cover.sort(key=lambda x: x[0])
_matches_cover_to_desk.sort(key=lambda x: x[0])
def test_sanity(self):
"""Performs a set of simple sanity checks on most operators."""
#__abs__
self.assertEqual(operator.__abs__(0), 0)
self.assertEqual(operator.__abs__(1), 1)
self.assertEqual(operator.__abs__(-1), 1)
self.assertEqual(operator.__abs__(0.0), 0.0)
self.assertEqual(operator.__abs__(1.1), 1.1)
self.assertEqual(operator.__abs__(-1.1), 1.1)
self.assertEqual(operator.__abs__(big(0)), big(0))
self.assertEqual(operator.__abs__(big(1)), big(1))
self.assertEqual(operator.__abs__(-big(1)), big(1))
#__neg__
self.assertEqual(operator.__neg__(0), 0)
self.assertEqual(operator.__neg__(1), -1)
self.assertEqual(operator.__neg__(-1), 1)
self.assertEqual(operator.__neg__(0.0), 0.0)
self.assertEqual(operator.__neg__(1.1), -1.1)
self.assertEqual(operator.__neg__(-1.1), 1.1)
self.assertEqual(operator.__neg__(big(0)), big(0))
self.assertEqual(operator.__neg__(big(1)), -big(1))
self.assertEqual(operator.__neg__(-big(1)), big(1))
#__pos__
self.assertEqual(operator.__pos__(0), 0)
self.assertEqual(operator.__pos__(1), 1)
self.assertEqual(operator.__pos__(-1), -1)
self.assertEqual(operator.__pos__(0.0), 0.0)
self.assertEqual(operator.__pos__(1.1), 1.1)
self.assertEqual(operator.__pos__(-1.1), -1.1)
self.assertEqual(operator.__pos__(big(0)), big(0))
self.assertEqual(operator.__pos__(big(1)), big(1))
self.assertEqual(operator.__pos__(-big(1)), -big(1))
#__add__
self.assertEqual(operator.__add__(0, 0), 0)
self.assertEqual(operator.__add__(1, 2), 3)
self.assertEqual(operator.__add__(-1, 2), 1)
self.assertEqual(operator.__add__(0.0, 0.0), 0.0)
self.assertEqual(operator.__add__(1.1, 2.1), 3.2)
self.assertEqual(operator.__add__(-1.1, 2.1), 1.0)
self.assertEqual(operator.__add__(big(0), big(0)), big(0))
self.assertEqual(operator.__add__(big(1), big(2)), big(3))
self.assertEqual(operator.__add__(-big(1), big(2)), big(1))
#__sub__
self.assertEqual(operator.__sub__(0, 0), 0)
self.assertEqual(operator.__sub__(1, 2), -1)
self.assertEqual(operator.__sub__(-1, 2), -3)
self.assertEqual(operator.__sub__(0.0, 0.0), 0.0)
self.assertEqual(operator.__sub__(1.1, 2.1), -1.0)
self.assertEqual(operator.__sub__(-1.1, 2.1), -3.2)
self.assertEqual(operator.__sub__(big(0), big(0)), big(0))
self.assertEqual(operator.__sub__(big(1), big(2)), -big(1))
self.assertEqual(operator.__sub__(-big(1), big(2)), -big(3))
#__mul__
self.assertEqual(operator.__mul__(0, 0), 0)
self.assertEqual(operator.__mul__(1, 2), 2)
self.assertEqual(operator.__mul__(-1, 2), -2)
self.assertEqual(operator.__mul__(0.0, 0.0), 0.0)
self.assertEqual(operator.__mul__(2.0, 3.0), 6.0)
self.assertEqual(operator.__mul__(-2.0, 3.0), -6.0)
self.assertEqual(operator.__mul__(big(0), big(0)), big(0))
self.assertEqual(operator.__mul__(big(1), big(2)), big(2))
self.assertEqual(operator.__mul__(-big(1), big(2)), -big(2))
#__div__
self.assertEqual(operator.__div__(0, 1), 0)
self.assertEqual(operator.__div__(4, 2), 2)
self.assertEqual(operator.__div__(-1, 2), -1)
self.assertEqual(operator.__div__(0.0, 1.0), 0.0)
self.assertEqual(operator.__div__(4.0, 2.0), 2.0)
self.assertEqual(operator.__div__(-4.0, 2.0), -2.0)
self.assertEqual(operator.__div__(big(0), big(1)), big(0))
self.assertEqual(operator.__div__(big(4), big(2)), big(2))
self.assertEqual(operator.__div__(-big(4), big(2)), -big(2))
#__floordiv__
self.assertEqual(operator.__floordiv__(0, 1), 0)
self.assertEqual(operator.__floordiv__(4, 2), 2)
self.assertEqual(operator.__floordiv__(-1, 2), -1)
self.assertEqual(operator.__floordiv__(0.0, 1.0), 0.0)
self.assertEqual(operator.__floordiv__(4.0, 2.0), 2.0)
self.assertEqual(operator.__floordiv__(-4.0, 2.0), -2.0)
self.assertEqual(operator.__floordiv__(big(0), big(1)), big(0))
self.assertEqual(operator.__floordiv__(big(4), big(2)), big(2))
self.assertEqual(operator.__floordiv__(-big(4), big(2)), -big(2))
#__truediv__
self.assertEqual(operator.__truediv__(0, 1), 0)
self.assertEqual(operator.__truediv__(4, 2), 2)
self.assertEqual(operator.__truediv__(-1, 2), -0.5)
self.assertEqual(operator.__truediv__(0.0, 1.0), 0.0)
self.assertEqual(operator.__truediv__(4.0, 2.0), 2.0)
self.assertEqual(operator.__truediv__(-1.0, 2.0), -0.5)
self.assertEqual(operator.__truediv__(big(0), big(1)), big(0))
self.assertEqual(operator.__truediv__(big(4), big(2)), big(2))
self.assertEqual(operator.__truediv__(-big(4), big(2)), -big(2))
#__mod__
self.assertEqual(operator.__mod__(0, 1), 0)
self.assertEqual(operator.__mod__(4, 2), 0)
self.assertEqual(operator.__mod__(-1, 2), 1)
self.assertEqual(operator.__mod__(0.0, 1.0), 0.0)
self.assertEqual(operator.__mod__(4.0, 2.0), 0.0)
self.assertEqual(operator.__mod__(-1.0, 2.0), 1.0)
self.assertEqual(operator.__mod__(big(0), big(1)), big(0))
self.assertEqual(operator.__mod__(big(4), big(2)), big(0))
self.assertEqual(operator.__mod__(-big(4), big(2)), big(0))
#__inv__
self.assertEqual(operator.__inv__(0), -1)
self.assertEqual(operator.__inv__(1), -2)
self.assertEqual(operator.__inv__(-1), 0)
self.assertEqual(operator.__inv__(big(0)), -big(1))
self.assertEqual(operator.__inv__(big(1)), -big(2))
self.assertEqual(operator.__inv__(-big(1)), big(0))
#__invert__
self.assertEqual(operator.__invert__(0), -1)
self.assertEqual(operator.__invert__(1), -2)
self.assertEqual(operator.__invert__(-1), 0)
self.assertEqual(operator.__invert__(big(0)), -big(1))
self.assertEqual(operator.__invert__(big(1)), -big(2))
self.assertEqual(operator.__invert__(-big(1)), big(0))
#__lshift__
self.assertEqual(operator.__lshift__(0, 1), 0)
self.assertEqual(operator.__lshift__(1, 1), 2)
self.assertEqual(operator.__lshift__(-1, 1), -2)
self.assertEqual(operator.__lshift__(big(0), 1), big(0))
self.assertEqual(operator.__lshift__(big(1), 1), big(2))
self.assertEqual(operator.__lshift__(-big(1), 1), -big(2))
#__rshift__
self.assertEqual(operator.__rshift__(1, 1), 0)
self.assertEqual(operator.__rshift__(2, 1), 1)
self.assertEqual(operator.__rshift__(-1, 1), -1)
self.assertEqual(operator.__rshift__(big(1), 1), big(0))
self.assertEqual(operator.__rshift__(big(2), 1), big(1))
self.assertEqual(operator.__rshift__(-big(1), 1), -big(1))
#__not__
self.assertEqual(operator.__not__(0), 1)
self.assertEqual(operator.__not__(1), 0)
self.assertEqual(operator.__not__(-1), 0)
self.assertEqual(operator.__not__(big(0)), 1)
self.assertEqual(operator.__not__(big(1)), 0)
self.assertEqual(operator.__not__(-big(1)), 0)
#__and__
self.assertEqual(operator.__and__(0, 0), 0)
self.assertEqual(operator.__and__(1, 1), 1)
self.assertEqual(operator.__and__(0, 1), 0)
self.assertEqual(operator.__and__(1, 0), 0)
#__xor__
self.assertEqual(operator.__xor__(0, 0), 0)
self.assertEqual(operator.__xor__(1, 1), 0)
self.assertEqual(operator.__xor__(0, 1), 1)
self.assertEqual(operator.__xor__(1, 0), 1)
#__or__
self.assertEqual(operator.__or__(0, 0), 0)
self.assertEqual(operator.__or__(1, 1), 1)
self.assertEqual(operator.__or__(0, 1), 1)
self.assertEqual(operator.__or__(1, 0), 1)
#__concat__
self.assertEqual(operator.__concat__([0], [1]), [0, 1])
self.assertEqual(operator.__concat__([2], [1]), [2, 1])
self.assertEqual(operator.__concat__([-1], [1]), [-1, 1])
#__contains__
self.assertTrue(operator.__contains__("abc", "c"))
self.assertTrue(not operator.__contains__("abc", "d"))
self.assertTrue(operator.__contains__("abc", ""))
self.assertTrue(not operator.__contains__("", "c"))
self.assertTrue(operator.__contains__([1, 2, 3], 1))
self.assertTrue(not operator.__contains__([1, 2, 3], 4))
#__getitem__
self.assertEqual(operator.__getitem__("abc", 2), "c")
self.assertRaises(IndexError, operator.__getitem__, "abc", 3)
self.assertEqual(operator.__getitem__([1, 2, 3], 2), 3)
self.assertRaises(IndexError, operator.__getitem__, [1, 2, 3], 3)
#__setitem__
self.assertRaises(TypeError, operator.__setitem__, "abc", 2, "d")
t_list = [1, 2, 3]
operator.__setitem__(t_list, 2, 4)
self.assertEqual(t_list, [1, 2, 4])
self.assertRaises(IndexError, operator.__setitem__, [1, 2, 3], 4, 9)
#__delitem__
#UNIMPLEMENTED
#self.assertRaises(TypeError, operator.__delitem__, "abc", 2)
t_list = [1, 2, 3]
operator.__delitem__(t_list, 2)
self.assertEqual(t_list, [1, 2])
self.assertRaises(IndexError, operator.__delitem__, [1, 2, 3], 4)
#__repeat__
self.assertEqual(operator.__repeat__("abc", 2), "abcabc")
self.assertEqual(operator.__repeat__("", 2), "")
self.assertEqual(operator.__repeat__([1, 2, 3], 2), [1, 2, 3, 1, 2, 3])
#__getslice__
self.assertEqual(operator.__getslice__("abc", 1, 2), "b")
self.assertEqual(operator.__getslice__("abc", 0, 3), "abc")
self.assertEqual(operator.__getslice__("", 0, 0), "")
self.assertEqual(operator.__getslice__([1, 2, 3], 1, 2), [2])
self.assertEqual(operator.__getslice__([1, 2, 3], 0, 3), [1, 2, 3])
self.assertEqual(operator.__getslice__([], 0, 0), [])
#__delslice__
t_list = [1, 2, 3]
operator.__delslice__(t_list, 1, 2)
self.assertEqual(t_list, [1, 3])
t_list = [1, 2, 3]
operator.__delslice__(t_list, 0, 3)
self.assertEqual(t_list, [])
t_list = [1, 2, 3]
operator.__delslice__(t_list, 0, 0)
self.assertEqual(t_list, [1, 2, 3])
#__setslice__
t_list = [1, 2, 3]
operator.__setslice__(t_list, 1, 2, [9])
self.assertEqual(t_list, [1, 9, 3])
t_list = [1, 2, 3]
operator.__setslice__(t_list, 0, 3, [9, 8])
self.assertEqual(t_list, [9, 8])
t_list = [1, 2, 3]
operator.__setslice__(t_list, 0, 0, [9])
self.assertEqual(t_list, [9, 1, 2, 3])
def __radd__(self, other):
"""other + self"""
return __add__(other, get_wrapped_object(self))
def test_sanity(self):
"""Performs a set of simple sanity checks on most operators."""
#__abs__
self.assertEqual(operator.__abs__(0), 0)
self.assertEqual(operator.__abs__(1), 1)
self.assertEqual(operator.__abs__(-1), 1)
self.assertEqual(operator.__abs__(0.0), 0.0)
self.assertEqual(operator.__abs__(1.1), 1.1)
self.assertEqual(operator.__abs__(-1.1), 1.1)
self.assertEqual(operator.__abs__(long(0)), long(0))
self.assertEqual(operator.__abs__(long(1)), long(1))
self.assertEqual(operator.__abs__(-long(1)), long(1))
#__neg__
self.assertEqual(operator.__neg__(0), 0)
self.assertEqual(operator.__neg__(1), -1)
self.assertEqual(operator.__neg__(-1), 1)
self.assertEqual(operator.__neg__(0.0), 0.0)
self.assertEqual(operator.__neg__(1.1), -1.1)
self.assertEqual(operator.__neg__(-1.1), 1.1)
self.assertEqual(operator.__neg__(long(0)), long(0))
self.assertEqual(operator.__neg__(long(1)), -long(1))
self.assertEqual(operator.__neg__(-long(1)), long(1))
#__pos__
self.assertEqual(operator.__pos__(0), 0)
self.assertEqual(operator.__pos__(1), 1)
self.assertEqual(operator.__pos__(-1), -1)
self.assertEqual(operator.__pos__(0.0), 0.0)
self.assertEqual(operator.__pos__(1.1), 1.1)
self.assertEqual(operator.__pos__(-1.1), -1.1)
self.assertEqual(operator.__pos__(long(0)), long(0))
self.assertEqual(operator.__pos__(long(1)), long(1))
self.assertEqual(operator.__pos__(-long(1)), -long(1))
#__add__
self.assertEqual(operator.__add__(0, 0), 0)
self.assertEqual(operator.__add__(1, 2), 3)
self.assertEqual(operator.__add__(-1, 2), 1)
self.assertEqual(operator.__add__(0.0, 0.0), 0.0)
self.assertEqual(operator.__add__(1.1, 2.1), 3.2)
self.assertEqual(operator.__add__(-1.1, 2.1), 1.0)
self.assertEqual(operator.__add__(long(0), long(0)), long(0))
self.assertEqual(operator.__add__(long(1), long(2)), long(3))
self.assertEqual(operator.__add__(-long(1), long(2)), long(1))
#__sub__
self.assertEqual(operator.__sub__(0, 0), 0)
self.assertEqual(operator.__sub__(1, 2), -1)
self.assertEqual(operator.__sub__(-1, 2), -3)
self.assertEqual(operator.__sub__(0.0, 0.0), 0.0)
self.assertEqual(operator.__sub__(1.1, 2.1), -1.0)
self.assertEqual(operator.__sub__(-1.1, 2.1), -3.2)
self.assertEqual(operator.__sub__(long(0), long(0)), long(0))
self.assertEqual(operator.__sub__(long(1), long(2)), -long(1))
self.assertEqual(operator.__sub__(-long(1), long(2)), -long(3))
#__mul__
self.assertEqual(operator.__mul__(0, 0), 0)
self.assertEqual(operator.__mul__(1, 2), 2)
self.assertEqual(operator.__mul__(-1, 2), -2)
self.assertEqual(operator.__mul__(0.0, 0.0), 0.0)
self.assertEqual(operator.__mul__(2.0, 3.0), 6.0)
self.assertEqual(operator.__mul__(-2.0, 3.0), -6.0)
self.assertEqual(operator.__mul__(long(0), long(0)), long(0))
self.assertEqual(operator.__mul__(long(1), long(2)), long(2))
self.assertEqual(operator.__mul__(-long(1), long(2)), -long(2))
#__div__
self.assertEqual(operator.__div__(0, 1), 0)
self.assertEqual(operator.__div__(4, 2), 2)
self.assertEqual(operator.__div__(-1, 2), -1)
self.assertEqual(operator.__div__(0.0, 1.0), 0.0)
self.assertEqual(operator.__div__(4.0, 2.0), 2.0)
self.assertEqual(operator.__div__(-4.0, 2.0), -2.0)
self.assertEqual(operator.__div__(long(0), long(1)), long(0))
self.assertEqual(operator.__div__(long(4), long(2)), long(2))
self.assertEqual(operator.__div__(-long(4), long(2)), -long(2))
#__floordiv__
self.assertEqual(operator.__floordiv__(0, 1), 0)
self.assertEqual(operator.__floordiv__(4, 2), 2)
self.assertEqual(operator.__floordiv__(-1, 2), -1)
self.assertEqual(operator.__floordiv__(0.0, 1.0), 0.0)
self.assertEqual(operator.__floordiv__(4.0, 2.0), 2.0)
self.assertEqual(operator.__floordiv__(-4.0, 2.0), -2.0)
self.assertEqual(operator.__floordiv__(long(0), long(1)), long(0))
self.assertEqual(operator.__floordiv__(long(4), long(2)), long(2))
self.assertEqual(operator.__floordiv__(-long(4), long(2)), -long(2))
#__truediv__
self.assertEqual(operator.__truediv__(0, 1), 0)
self.assertEqual(operator.__truediv__(4, 2), 2)
self.assertEqual(operator.__truediv__(-1, 2), -0.5)
self.assertEqual(operator.__truediv__(0.0, 1.0), 0.0)
self.assertEqual(operator.__truediv__(4.0, 2.0), 2.0)
self.assertEqual(operator.__truediv__(-1.0, 2.0), -0.5)
self.assertEqual(operator.__truediv__(long(0), long(1)), long(0))
self.assertEqual(operator.__truediv__(long(4), long(2)), long(2))
self.assertEqual(operator.__truediv__(-long(4), long(2)), -long(2))
#__mod__
self.assertEqual(operator.__mod__(0, 1), 0)
self.assertEqual(operator.__mod__(4, 2), 0)
self.assertEqual(operator.__mod__(-1, 2), 1)
self.assertEqual(operator.__mod__(0.0, 1.0), 0.0)
self.assertEqual(operator.__mod__(4.0, 2.0), 0.0)
self.assertEqual(operator.__mod__(-1.0, 2.0), 1.0)
self.assertEqual(operator.__mod__(long(0), long(1)), long(0))
self.assertEqual(operator.__mod__(long(4), long(2)), long(0))
self.assertEqual(operator.__mod__(-long(4), long(2)), long(0))
#__inv__
self.assertEqual(operator.__inv__(0), -1)
self.assertEqual(operator.__inv__(1), -2)
self.assertEqual(operator.__inv__(-1), 0)
self.assertEqual(operator.__inv__(long(0)), -long(1))
self.assertEqual(operator.__inv__(long(1)), -long(2))
self.assertEqual(operator.__inv__(-long(1)), long(0))
#__invert__
self.assertEqual(operator.__invert__(0), -1)
self.assertEqual(operator.__invert__(1), -2)
self.assertEqual(operator.__invert__(-1), 0)
self.assertEqual(operator.__invert__(long(0)), -long(1))
self.assertEqual(operator.__invert__(long(1)), -long(2))
self.assertEqual(operator.__invert__(-long(1)), long(0))
#__lshift__
self.assertEqual(operator.__lshift__(0, 1), 0)
self.assertEqual(operator.__lshift__(1, 1), 2)
self.assertEqual(operator.__lshift__(-1, 1), -2)
self.assertEqual(operator.__lshift__(long(0), 1), long(0))
self.assertEqual(operator.__lshift__(long(1), 1), long(2))
self.assertEqual(operator.__lshift__(-long(1), 1), -long(2))
#__rshift__
self.assertEqual(operator.__rshift__(1, 1), 0)
self.assertEqual(operator.__rshift__(2, 1), 1)
self.assertEqual(operator.__rshift__(-1, 1), -1)
self.assertEqual(operator.__rshift__(long(1), 1), long(0))
self.assertEqual(operator.__rshift__(long(2), 1), long(1))
self.assertEqual(operator.__rshift__(-long(1), 1), -long(1))
#__not__
self.assertEqual(operator.__not__(0), 1)
self.assertEqual(operator.__not__(1), 0)
self.assertEqual(operator.__not__(-1), 0)
self.assertEqual(operator.__not__(long(0)), 1)
self.assertEqual(operator.__not__(long(1)), 0)
self.assertEqual(operator.__not__(-long(1)), 0)
#__and__
self.assertEqual(operator.__and__(0, 0), 0)
self.assertEqual(operator.__and__(1, 1), 1)
self.assertEqual(operator.__and__(0, 1), 0)
self.assertEqual(operator.__and__(1, 0), 0)
#__xor__
self.assertEqual(operator.__xor__(0, 0), 0)
self.assertEqual(operator.__xor__(1, 1), 0)
self.assertEqual(operator.__xor__(0, 1), 1)
self.assertEqual(operator.__xor__(1, 0), 1)
#__or__
self.assertEqual(operator.__or__(0, 0), 0)
self.assertEqual(operator.__or__(1, 1), 1)
self.assertEqual(operator.__or__(0, 1), 1)
self.assertEqual(operator.__or__(1, 0), 1)
#__concat__
self.assertEqual(operator.__concat__([0], [1]), [0,1])
self.assertEqual(operator.__concat__([2], [1]), [2,1])
self.assertEqual(operator.__concat__([-1], [1]), [-1,1])
#__contains__
self.assertTrue(operator.__contains__("abc", "c"))
self.assertTrue(not operator.__contains__("abc", "d"))
self.assertTrue(operator.__contains__("abc", ""))
self.assertTrue(not operator.__contains__("", "c"))
self.assertTrue(operator.__contains__([1,2,3], 1))
self.assertTrue(not operator.__contains__([1,2,3], 4))
#__getitem__
self.assertEqual(operator.__getitem__("abc", 2), "c")
self.assertRaises(IndexError, operator.__getitem__, "abc", 3)
self.assertEqual(operator.__getitem__([1,2,3], 2), 3)
self.assertRaises(IndexError, operator.__getitem__, [1,2,3], 3)
#__setitem__
self.assertRaises(TypeError, operator.__setitem__, "abc", 2, "d")
t_list = [1,2,3]
operator.__setitem__(t_list, 2, 4)
self.assertEqual(t_list, [1,2,4])
self.assertRaises(IndexError, operator.__setitem__, [1,2,3], 4, 9)
#__delitem__
#UNIMPLEMENTED
#self.assertRaises(TypeError, operator.__delitem__, "abc", 2)
t_list = [1,2,3]
operator.__delitem__(t_list, 2)
self.assertEqual(t_list, [1,2])
self.assertRaises(IndexError, operator.__delitem__, [1,2,3], 4)
#__repeat__
self.assertEqual(operator.__repeat__("abc", 2), "abcabc")
self.assertEqual(operator.__repeat__("", 2), "")
self.assertEqual(operator.__repeat__([1,2,3], 2), [1,2,3,1,2,3])
#__getslice__
self.assertEqual(operator.__getslice__("abc", 1, 2), "b")
self.assertEqual(operator.__getslice__("abc", 0, 3), "abc")
self.assertEqual(operator.__getslice__("", 0, 0), "")
self.assertEqual(operator.__getslice__([1,2,3], 1, 2), [2])
self.assertEqual(operator.__getslice__([1,2,3], 0, 3), [1,2,3])
self.assertEqual(operator.__getslice__([], 0, 0), [])
#__delslice__
t_list = [1,2,3]
operator.__delslice__(t_list, 1, 2)
self.assertEqual(t_list, [1,3])
t_list = [1,2,3]
operator.__delslice__(t_list, 0, 3)
self.assertEqual(t_list, [])
t_list = [1,2,3]
operator.__delslice__(t_list, 0, 0)
self.assertEqual(t_list, [1,2,3])
#__setslice__
t_list = [1,2,3]
operator.__setslice__(t_list, 1, 2, [9])
self.assertEqual(t_list, [1,9,3])
t_list = [1,2,3]
operator.__setslice__(t_list, 0, 3, [9, 8])
self.assertEqual(t_list, [9, 8])
t_list = [1,2,3]
operator.__setslice__(t_list, 0, 0, [9])
self.assertEqual(t_list, [9,1, 2,3])
def __add__(self, other):
"""self + other"""
return __add__(get_wrapped_object(self), get_wrapped_object(other))
def update_event(self, inp=-1):
self.set_output_val(0, operator.__add__(self.input(0), self.input(1)))
def cross_correlation_1d(img, kernel):
# 1. check direction of kernel and flatten
dir = 0 # dir (direction) is 0 when kernel is horizontal, 1 when vertical.
if len(kernel.shape) != 1: # if the shape is not an 1-d ndarray,
if kernel.shape[1] == 1: # vertical kernel
dir = 1
kernel = kernel.flatten() # flatten to 1-d ndarray
size0 = img.shape[0]
size1 = img.shape[1]
k_size = kernel.shape[0]
diff = k_size // 2
# 2. padding original image (img)
if dir == 0:
padded_size = size1 + k_size - 1
padded_img = np.zeros((size0, padded_size))
j_range0 = range(diff)
j_range1 = range(size1)
j_range2 = range(size1 + diff, size1 + 2 * diff)
for i in range(size0):
for j in j_range0:
padded_img[i][j] = img[i][0]
for j in j_range1:
padded_img[i][j + diff] = img[i][j]
for j in j_range2:
padded_img[i][j] = img[i][size1 - 1]
else: # dir == 1 (vertical cases)
padded_size = size0 + k_size - 1
padded_img = np.zeros((padded_size, size1))
j_range0 = range(diff)
j_range1 = range(size0)
j_range2 = range(size0 + diff, size0 + 2 * diff)
for j in range(size1):
for i in j_range0:
padded_img[i][j] = img[0][j]
for i in j_range1:
padded_img[i + diff][j] = img[i][j]
for i in j_range2:
padded_img[i][j] = img[size0 - 1][j]
#print(padded_img)
#print()
# 3. apply cross correlation using iteration
filtered_img = np.zeros((size0, size1))
for x in range(size0):
for y in range(size1):
if dir == 0: # horizontal kernel
_sum = 0
for j in range(k_size):
_sum = operator.__add__(
_sum, operator.__mul__(padded_img[x][y + j],
kernel[j]))
filtered_img[x][y] = _sum
elif dir == 1: # vertical kernel
_sum = 0
for i in range(k_size):
_sum = operator.__add__(
_sum, operator.__mul__(padded_img[x + i][y],
kernel[i]))
filtered_img[x][y] = _sum
#print('%.04f'%filtered_img[i][j], end=' ')
#print()
#print(filtered_img)
return filtered_img
def test_sanity():
'''
Performs a set of simple sanity checks on most operators.
'''
#__abs__
AreEqual(operator.__abs__(0), 0)
AreEqual(operator.__abs__(1), 1)
AreEqual(operator.__abs__(-1), 1)
AreEqual(operator.__abs__(0.0), 0.0)
AreEqual(operator.__abs__(1.1), 1.1)
AreEqual(operator.__abs__(-1.1), 1.1)
AreEqual(operator.__abs__(0L), 0L)
AreEqual(operator.__abs__(1L), 1L)
AreEqual(operator.__abs__(-1L), 1L)
#__neg__
AreEqual(operator.__neg__(0), 0)
AreEqual(operator.__neg__(1), -1)
AreEqual(operator.__neg__(-1), 1)
AreEqual(operator.__neg__(0.0), 0.0)
AreEqual(operator.__neg__(1.1), -1.1)
AreEqual(operator.__neg__(-1.1), 1.1)
AreEqual(operator.__neg__(0L), 0L)
AreEqual(operator.__neg__(1L), -1L)
AreEqual(operator.__neg__(-1L), 1L)
#__pos__
AreEqual(operator.__pos__(0), 0)
AreEqual(operator.__pos__(1), 1)
AreEqual(operator.__pos__(-1), -1)
AreEqual(operator.__pos__(0.0), 0.0)
AreEqual(operator.__pos__(1.1), 1.1)
AreEqual(operator.__pos__(-1.1), -1.1)
AreEqual(operator.__pos__(0L), 0L)
AreEqual(operator.__pos__(1L), 1L)
AreEqual(operator.__pos__(-1L), -1L)
#__add__
AreEqual(operator.__add__(0, 0), 0)
AreEqual(operator.__add__(1, 2), 3)
AreEqual(operator.__add__(-1, 2), 1)
AreEqual(operator.__add__(0.0, 0.0), 0.0)
AreEqual(operator.__add__(1.1, 2.1), 3.2)
AreEqual(operator.__add__(-1.1, 2.1), 1.0)
AreEqual(operator.__add__(0L, 0L), 0L)
AreEqual(operator.__add__(1L, 2L), 3L)
AreEqual(operator.__add__(-1L, 2L), 1L)
#__sub__
AreEqual(operator.__sub__(0, 0), 0)
AreEqual(operator.__sub__(1, 2), -1)
AreEqual(operator.__sub__(-1, 2), -3)
AreEqual(operator.__sub__(0.0, 0.0), 0.0)
AreEqual(operator.__sub__(1.1, 2.1), -1.0)
AreEqual(operator.__sub__(-1.1, 2.1), -3.2)
AreEqual(operator.__sub__(0L, 0L), 0L)
AreEqual(operator.__sub__(1L, 2L), -1L)
AreEqual(operator.__sub__(-1L, 2L), -3L)
#__mul__
AreEqual(operator.__mul__(0, 0), 0)
AreEqual(operator.__mul__(1, 2), 2)
AreEqual(operator.__mul__(-1, 2), -2)
AreEqual(operator.__mul__(0.0, 0.0), 0.0)
AreEqual(operator.__mul__(2.0, 3.0), 6.0)
AreEqual(operator.__mul__(-2.0, 3.0), -6.0)
AreEqual(operator.__mul__(0L, 0L), 0L)
AreEqual(operator.__mul__(1L, 2L), 2L)
AreEqual(operator.__mul__(-1L, 2L), -2L)
#__div__
AreEqual(operator.__div__(0, 1), 0)
AreEqual(operator.__div__(4, 2), 2)
AreEqual(operator.__div__(-1, 2), -1)
AreEqual(operator.__div__(0.0, 1.0), 0.0)
AreEqual(operator.__div__(4.0, 2.0), 2.0)
AreEqual(operator.__div__(-4.0, 2.0), -2.0)
AreEqual(operator.__div__(0L, 1L), 0L)
AreEqual(operator.__div__(4L, 2L), 2L)
AreEqual(operator.__div__(-4L, 2L), -2L)
#__floordiv__
AreEqual(operator.__floordiv__(0, 1), 0)
AreEqual(operator.__floordiv__(4, 2), 2)
AreEqual(operator.__floordiv__(-1, 2), -1)
AreEqual(operator.__floordiv__(0.0, 1.0), 0.0)
AreEqual(operator.__floordiv__(4.0, 2.0), 2.0)
AreEqual(operator.__floordiv__(-4.0, 2.0), -2.0)
AreEqual(operator.__floordiv__(0L, 1L), 0L)
AreEqual(operator.__floordiv__(4L, 2L), 2L)
AreEqual(operator.__floordiv__(-4L, 2L), -2L)
#__truediv__
AreEqual(operator.__truediv__(0, 1), 0)
AreEqual(operator.__truediv__(4, 2), 2)
AreEqual(operator.__truediv__(-1, 2), -0.5)
AreEqual(operator.__truediv__(0.0, 1.0), 0.0)
AreEqual(operator.__truediv__(4.0, 2.0), 2.0)
AreEqual(operator.__truediv__(-1.0, 2.0), -0.5)
AreEqual(operator.__truediv__(0L, 1L), 0L)
AreEqual(operator.__truediv__(4L, 2L), 2L)
AreEqual(operator.__truediv__(-4L, 2L), -2L)
#__mod__
AreEqual(operator.__mod__(0, 1), 0)
AreEqual(operator.__mod__(4, 2), 0)
AreEqual(operator.__mod__(-1, 2), 1)
AreEqual(operator.__mod__(0.0, 1.0), 0.0)
AreEqual(operator.__mod__(4.0, 2.0), 0.0)
AreEqual(operator.__mod__(-1.0, 2.0), 1.0)
AreEqual(operator.__mod__(0L, 1L), 0L)
AreEqual(operator.__mod__(4L, 2L), 0L)
AreEqual(operator.__mod__(-4L, 2L), 0L)
#__inv__
AreEqual(operator.__inv__(0), -1)
AreEqual(operator.__inv__(1), -2)
AreEqual(operator.__inv__(-1), 0)
AreEqual(operator.__inv__(0L), -1L)
AreEqual(operator.__inv__(1L), -2L)
AreEqual(operator.__inv__(-1L), 0L)
#__invert__
AreEqual(operator.__invert__(0), -1)
AreEqual(operator.__invert__(1), -2)
AreEqual(operator.__invert__(-1), 0)
AreEqual(operator.__invert__(0L), -1L)
AreEqual(operator.__invert__(1L), -2L)
AreEqual(operator.__invert__(-1L), 0L)
#__lshift__
AreEqual(operator.__lshift__(0, 1), 0)
AreEqual(operator.__lshift__(1, 1), 2)
AreEqual(operator.__lshift__(-1, 1), -2)
AreEqual(operator.__lshift__(0L, 1), 0L)
AreEqual(operator.__lshift__(1L, 1), 2L)
AreEqual(operator.__lshift__(-1L, 1), -2L)
#__rshift__
AreEqual(operator.__rshift__(1, 1), 0)
AreEqual(operator.__rshift__(2, 1), 1)
AreEqual(operator.__rshift__(-1, 1), -1)
AreEqual(operator.__rshift__(1L, 1), 0L)
AreEqual(operator.__rshift__(2L, 1), 1L)
AreEqual(operator.__rshift__(-1L, 1), -1L)
#__not__
AreEqual(operator.__not__(0), 1)
AreEqual(operator.__not__(1), 0)
AreEqual(operator.__not__(-1), 0)
AreEqual(operator.__not__(0L), 1)
AreEqual(operator.__not__(1L), 0)
AreEqual(operator.__not__(-1L), 0)
#__and__
AreEqual(operator.__and__(0, 0), 0)
AreEqual(operator.__and__(1, 1), 1)
AreEqual(operator.__and__(0, 1), 0)
AreEqual(operator.__and__(1, 0), 0)
#__xor__
AreEqual(operator.__xor__(0, 0), 0)
AreEqual(operator.__xor__(1, 1), 0)
AreEqual(operator.__xor__(0, 1), 1)
AreEqual(operator.__xor__(1, 0), 1)
#__or__
AreEqual(operator.__or__(0, 0), 0)
AreEqual(operator.__or__(1, 1), 1)
AreEqual(operator.__or__(0, 1), 1)
AreEqual(operator.__or__(1, 0), 1)
#__concat__
AreEqual(operator.__concat__([0], [1]), [0,1])
AreEqual(operator.__concat__([2], [1]), [2,1])
AreEqual(operator.__concat__([-1], [1]), [-1,1])
#__contains__
Assert(operator.__contains__("abc", "c"))
Assert(not operator.__contains__("abc", "d"))
Assert(operator.__contains__("abc", ""))
Assert(not operator.__contains__("", "c"))
Assert(operator.__contains__([1,2,3], 1))
Assert(not operator.__contains__([1,2,3], 4))
#__getitem__
AreEqual(operator.__getitem__("abc", 2), "c")
AssertError(IndexError, operator.__getitem__, "abc", 3)
AreEqual(operator.__getitem__([1,2,3], 2), 3)
AssertError(IndexError, operator.__getitem__, [1,2,3], 3)
#__setitem__
AssertError(TypeError, operator.__setitem__, "abc", 2, "d")
t_list = [1,2,3]
operator.__setitem__(t_list, 2, 4)
AreEqual(t_list, [1,2,4])
AssertError(IndexError, operator.__setitem__, [1,2,3], 4, 9)
#__delitem__
#UNIMPLEMENTED
#AssertError(TypeError, operator.__delitem__, "abc", 2)
t_list = [1,2,3]
operator.__delitem__(t_list, 2)
AreEqual(t_list, [1,2])
AssertError(IndexError, operator.__delitem__, [1,2,3], 4)
#__repeat__
AreEqual(operator.__repeat__("abc", 2), "abcabc")
AreEqual(operator.__repeat__("", 2), "")
AreEqual(operator.__repeat__([1,2,3], 2), [1,2,3,1,2,3])
#__getslice__
AreEqual(operator.__getslice__("abc", 1, 2), "b")
AreEqual(operator.__getslice__("abc", 0, 3), "abc")
AreEqual(operator.__getslice__("", 0, 0), "")
AreEqual(operator.__getslice__([1,2,3], 1, 2), [2])
AreEqual(operator.__getslice__([1,2,3], 0, 3), [1,2,3])
AreEqual(operator.__getslice__([], 0, 0), [])
#__delslice__
t_list = [1,2,3]
operator.__delslice__(t_list, 1, 2)
AreEqual(t_list, [1,3])
t_list = [1,2,3]
operator.__delslice__(t_list, 0, 3)
AreEqual(t_list, [])
t_list = [1,2,3]
operator.__delslice__(t_list, 0, 0)
AreEqual(t_list, [1,2,3])
#__setslice__
t_list = [1,2,3]
operator.__setslice__(t_list, 1, 2, [9])
AreEqual(t_list, [1,9,3])
t_list = [1,2,3]
operator.__setslice__(t_list, 0, 3, [9, 8])
AreEqual(t_list, [9, 8])
t_list = [1,2,3]
operator.__setslice__(t_list, 0, 0, [9])
AreEqual(t_list, [9,1, 2,3])
from operator import __add__, __iadd__
import operator
# Immutable objects
a = 10;b = 20;m = 30;n = 40
p = operator.add(a, b)
q = operator.iadd(m, n)
print(p)
print(q)
sumVal = __add__(a, b)
print("Val for a:%d, b:%d is sum:%d" % (a, b, sumVal))
sumVal2 = __iadd__(a, b)
print("Val for a:%d, b:%d is sum:%d" % (a, b, sumVal2))
# Mutable Objects ==> updation and assignment both are carried out in case of mutable targets.
listEx = [1, 2, 3, 4]
z = operator.add(listEx, [55, 44, 99])
print("Updated list is: ", z)
print("Previously it was: ", listEx)
z2 = operator.iadd(listEx, [55, 88, 99])
print("Updated list is: ", z2)
print("Previously it was: ", listEx) # works like a+=b principal for mutable objects.
def __add__(self, other):
if isinstance(other, Number) or len(other) == 1:
return Vector(map(lambda x: operator.__add__(x, other), self))
else:
return Vector(map(operator.__add__, self, other))
def eval(self,env):
return operator.__add__(self.left.eval(env),self.right.eval(env))
def __radd__(self, other: tp.Any) -> tp.Any:
operator = lambda rhs, lhs: operator_mod.__add__(lhs, rhs)
operator.__name__ = 'r' + operator_mod.__add__.__name__
return self._ufunc_binary_operator(operator=operator, other=other)
def __add__(x, y): if isinstance(x, callproxy): x = (x).p_obj if isinstance(y, callproxy): y = y.p_obj return operator.__add__(x, y)
