python to c converter tool online
import math
x,y=input().split(),input().split()
x,y=[int(i) for i in x],[int(i) for i in y]
t,t1=abs(x[0]-y[0]),abs(x[1]-y[1])
print("%.2f" %math.sqrt(t*t+t1*t1))python to c converter tool online
import math
x,y=input().split(),input().split()
x,y=[int(i) for i in x],[int(i) for i in y]
t,t1=abs(x[0]-y[0]),abs(x[1]-y[1])
print("%.2f" %math.sqrt(t*t+t1*t1))python code to c code converter
class Buffer:
def __init__(self,size_max):
self.max = size_max
self.data = []
class __Full:
def append(self, x):
self.data[self.cur] = x
self.cur = (self.cur+1) % self.max
def get(self):
return self.data[self.cur:]+self.data[:self.cur]
def append(self,x):
self.data.append(x)
if len(self.data) == self.max:
self.cur = 0
self.__class__ = self.__Full
def get(self):
return self.data
if __name__=='__main__':
n=input('Enter the occupide size of the buffer : ')
x=Buffer(int(n))
x.append(1); x.append(2); x.append(3); x.append(4)
print (x.__class__, x.get( ))
l=len(x.data)
print(f"The free buffer is :{l}")
print(f"The left size buffer is :{int(n)-int(l)}")
x.append(5)
print (x.__class__, x.get( ))
x.append(6)
print (x.data, x.get( ))
x.append(7); x.append(8); x.append(9); x.append(10)
print (x.data, x.get( ))convert python code to c online
def main():
# 4 x 4 csr matrix
# [1, 0, 0, 0],
# [2, 0, 3, 0],
# [0, 0, 0, 0],
# [0, 4, 0, 0],
csr_values = [2, 3, 1, 4,5]
col_idx = [1, 2, 0, 1,1]
row_ptr = [0, 2, 4,5]
csr_matrix = [
csr_values,
col_idx,
row_ptr
]
dense_matrix = [
[0, 3, 0],
[1, 4, 5],
[2, 0, 0],
]
res = [
[0, 0, 0],
[0, 0, 0],
[0, 0, 0],
]
# matrix order, assumes both matrices are square
n = len(dense_matrix)
# res = dense X csr
csr_row = 0 # Current row in CSR matrix
for i in range(n):
start, end = row_ptr[i], row_ptr[i + 1]
for j in range(start, end):
col, csr_value = col_idx[j], csr_values[j]
for k in range(n):
dense_value = dense_matrix[k][csr_row]
res[k][col] += csr_value * dense_value
csr_row += 1
print(res)
if __name__ == '__main__':
main()python to c converter online
np.linspace(0,1,11)Copyright © 2021 Codeinu
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