Answer:
import numpy as np#importing numpy module with an alias np.
def c(bitstring_array):# defining function c.
num_integer=bitstring_array.dot(2**np.arange(bitstring_array.size)[::-1])#bitstring conversion.
return num_integer#returning integer array.
print("Enter bits")
Bit_l=input().split(" ")#enter space separated bitstring.
for i in range(len(Bit_l)):#iterating over the bitstring.
Bit_l[i]=int(Bit_l[i])
bitstring_array=np.array(Bit_l)
print(c(bitstring_array))#function call.
Output:
Enter bits
1 1 1 0 0 1
57
C.) New discoveries make the current model inaccurate. Since
science is all about observation and experimentation, it is logical that
whenever new findings are gathered, scientific models must be modified to adapt
to the information. As new ideas and concepts are uncovered, models should be
updated to make them correct.
Answer:
providing real-time data feeds on millions of people with wearable devices
Explanation:
Explanation:
When your nonverbal signals match up with the words you're saying, they increase trust, clarity, and rapport. When they don't, they can generate tension, mistrust, and confusion.
