以下はPythonで書かれたこのプログラムの変形である。

```python
import csv

# read in the CSV file
csvfile = open('server_log.csv', newline='')
csv = csv.reader(csvfile, delimiter=' ', quotechar='|')

# initialise a dictionary to store number of appearances for each IP
ip_counts = {}

# iterate through each row of the CSV
for row in csv:
    # get the IP address from the first column
    ip = row[0]
  
    # if the IP address already exists in the hash, increment its count, otherwise initialise its count to 1
    if ip_counts.has_key():
        ip_counts[ip] += 1
    else:
        ip_counts[ip] = 1
  
# sort the list of (key,value) pairs of the dictionary ip_counts in descending order according to values, get top 5 by taking first 5 elements of the sorted list
top_5 = sorted(ip_counts.items(), key=lambda item: item[1],  reverse=True)[:5]

# output the top 5 IP addresses
print("The top 5 IP addresses are:")
for ip,count in top_5:
    print(f'{ip}: {count} requests')
```

さらにサポートが必要な場合は、遠慮なくお尋ねください。
Here is the variant of this program written in Python.

```python
import csv

# read in the CSV file
csvfile = open('server_log.csv', newline='')
csv = csv.reader(csvfile, delimiter=' ', quotechar='|')

# initialise a dictionary to store number of appearances for each IP
ip_counts = {}

# iterate through each row of the CSV
for row in csv:
    # get the IP address from the first column
    ip = row[0]
  
    # if the IP address already exists in the hash, increment its count, otherwise initialise its count to 1
    if ip_counts.has_key():
        ip_counts[ip] += 1
    else:
        ip_counts[ip] = 1
  
# sort the list of (key,value) pairs of the dictionary ip_counts in descending order according to values, get top 5 by taking first 5 elements of the sorted list
top_5 = sorted(ip_counts.items(), key=lambda item: item[1],  reverse=True)[:5]

# output the top 5 IP addresses
print("The top 5 IP addresses are:")
for ip,count in top_5:
    print(f'{ip}: {count} requests')
```

Please don't hesitate to ask if you need any further assistance.