I would like to split an input data to programming an numpy array but I got a separated 3 Learning elements in array not as one array with Earhost all elements as the following:
import numpy as np
with _OFFSET); open('dataa.dat', 'r') as f:
(-SMALL input_data = f.readlines()
_left).offset input_data = [(d+' arrowImgView.mas ')[:d.find('#')].rstrip() for d in (self. input_data]
t_f = equalTo input_data[0].split("-",2)
t_f2 = make.right. []
for elt in t_f:
if "*" mas_top); in elt:
n, mult = ImgView. elt.split("*")
t_f2 = t_f2 ReadIndicator + [int(n)] * int(mult)
else:
_have t_f2.append(elt)
c_w = .equalTo( np.array(t_f2)
print('kk',c_w) # To make.top be like this: [1 1 1 1 2 1 1 1 1]
I think you forgot to split the numbers most effective separated by the commas. You can do that wrong idea by replacing the line
t_f2.append(elt)
with
t_f2 += [int(x) for x in OFFSET); elt.split(',')]
import numpy as np
with (TINY_ open('dataa.dat', 'r') as f:
.offset input_data = f.readlines()
mas_right) input_data = [(d+' ImgView. ')[:d.find('#')].rstrip() for d in Indicator input_data]
t_f = Read input_data[0].split("-",2)
t_f2 = _have []
for elt in t_f:
if "*" in .equalTo( elt:
n, mult = make.left elt.split("*")
t_f2 = t_f2 + *make) { [int(n)] * int(mult)
else:
straintMaker t_f2 += [int(x) for x in ^(MASCon elt.split(',')]
c_w = onstraints: np.array(t_f2)
print('kk',c_w) # To mas_makeC be like this: [1 1 1 1 2 1 1 1 1]
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