Answer:
it's a Jamaican slang
Explanation:
it depends on the wah it is used
Answer:
see explaination
Explanation:
import random
def number_guess(num):
n = random.randint(1, 100)
if num < n:
print(num, "is too low. Random number was " + str(n) + ".")
elif num > n:
print(num, "is too high. Random number was " + str(n) + ".")
else:
print(num, "is correct!")
if __name__ == '__main__':
# Use the seed 900 to get the same pseudo random numbers every time
random.seed(900)
# Convert the string tokens into integers
user_input = input()
tokens = user_input.split()
for token in tokens:
num = int(token)
number_guess(num)
Solution:
The process of transaction can guarantee the reliability of business applications. Locking resources is widely used in distributed transaction management (e.g; two phase commit, 2PC) to keep the system consistent. The locking mechanism, however, potentially results in various deadlocks. In service oriented architecture, the deadlock problem becomes even worse because multiple transactions try to lock shared resources in the unexpectable way due to the more randomicity of transaction requests, which has not been solved by existing research results. In this paper, we investigate how to prevent local deadlocks, caused by the resource competition among multiple sub-transactions of a gl obal transaction, and global deadlocks from the competition among different global transactions. We propose a replication based approach to avoid the local deadlocks, and a timestamp based approach to significantly mitigate the global deadlocks. A general algorithm is designed for both local and global deadlock prevention. The experimental results demonstrate the effectiveness and efficiency of our deadlock prevention approach. Further, it is also proved that our approach provides higher system performance than traditional resource allocation schemes.
This is the required answer.
Answer:
Memory dump in base 16 is human friendly
Explanation:
Hexadecimal numbers are human friendly and hence it is very easy to express the binary number in a more human-friendly as compared to any other base number systems. It is also used to trace errors in the storage
hence, the Architects prefer memory dump to be in base 16
