The answer is cyclin subunit
Answer:
def typeHistogram(it,n):
d = dict()
for i in it:
n -=1
if n>=0:
if str(type(i).__name__) not in d.keys():
d.setdefault(type(i).__name__,1)
else:
d[str(type(i).__name__)] += 1
else:
break
return list(d.items())
it = iter([1,2,'a','b','c',4,5])
print(typeHistogram(it,7))
Explanation:
- Create a typeHistogram function that has 2 parameters namely "it" and "n" where "it" is an iterator used to represent a sequence of values of different types while "n" is the total number of elements in the sequence.
- Initialize an empty dictionary and loop through the iterator "it".
- Check if n is greater than 0 and current string is not present in the dictionary, then set default type as 1 otherwise increment by 1.
- At the end return the list of items.
- Finally initialize the iterator and display the histogram by calling the typeHistogram.
Answer:
In a STAR TOPOLOGY network, each device on the network is attached to a central router. If the router fails, then the other devices will be unable to communicate, but if only one connected device fails, then all other devices will still be able to communicate.
Explanation:
In this type of topology all the computers are connected to a single router through a cable. This router is the central node and all others nodes are connected to the central node.
The distinction between "computer architecture" and "computer organization" has become very fuzzy, if no completely confused or unusable. Computer architecture was essentially a contract with software stating unambiguously what the hardware does. The architecture was essentially a set of statements of the form "If you execute this instruction (or get an interrupt, etc.), then that is what happens. Computer organization, then, was a usually high-level description of the logic, memory, etc, used to implement that contract: These registers, those data paths, this connection to memory, etc.
Programs written to run on a particular computer architecture should always run correctly on that architecture no matter what computer organization (implementation) is used.
For example, both Intel and AMD processors have the same X86 architecture, but how the two companies implement that architecture (their computer organizations) is usually very different. The same programs run correctly on both, because the architecture is the same, but they may run at different speeds, because the organizations are different. Likewise, the many companies implementing MIPS, or ARM, or other processors are providing the same architecture - the same programs run correctly on all of them - but have very different high - level organizations inside them.
```
#!/usr/local/bin/python3
import sys
coins = { "quarters" : 25, "dimes" : 10, "nickels" : 5, "pennies" : 1 }
def mkChange( balance, coin ):
qty = balance // coins[ coin ]
if( qty ):
print( str( qty ) + ' ' + coin )
return( balance % coins[ coin ] )
if( __name__ == "__main__" ):
if( len( sys.argv ) == 2 ):
balance = int( sys.argv[ 1 ] )
balance = mkChange( balance, "quarters" )
balance = mkChange( balance, "dimes" )
balance = mkChange( balance, "nickels" )
balance = mkChange( balance, "pennies" )
else:
sys.stderr.write( "\nusage: " + sys.argv[ 0 ] + " <change owed>\n" )
```
