To solve this task, we can use Python regular expressions. Here are the steps to validate the mobile numbers:

1. Import the `re` module in Python to work with regular expressions.

2. Read the input mobile numbers.

3. Define a regular expression pattern to match the constraints mentioned:
- The pattern should start with `^` to match the beginning of the string.
- It should have `\d{10}` to match exactly 10 digits.
- To allow or disallow a single space after the first 5 digits, we can use `(\s)?` to match zero or one space.
- Finally, use `$` to match the end of the string.

4. Iterate through each mobile number and use the `re.match()` function to check if it matches the pattern.

5. If a mobile number matches the pattern, classify it as "VALID". Otherwise, classify it as "INVALID".

6. Print the classification for each mobile number.

Here's the Python code to accomplish this task:

```python
import re

# Read the input mobile numbers
mobile_numbers = input().split()

# Define the regular expression pattern
pattern = r'^\d{10}(\s)?$'

# Iterate through each mobile number
for number in mobile_numbers:
# Check if the number matches the pattern
if re.match(pattern, number):
print("Valid")
else:
print("Invalid")
```

When you run this code and provide the sample input, it will classify each mobile number as "Valid" or "Invalid" based on the given constraints. The output will match the sample output provided.

Question

To solve this task, we can use Python regular expressions. Here are the steps to validate the mobile numbers:

1. Import the `re` module in Python to work with regular expressions.

2. Read the input mobile numbers.

3. Define a regular expression pattern to match the constraints mentioned:
   - The pattern should start with `^` to match the beginning of the string.
   - It should have `\d{10}` to match exactly 10 digits.
   - To allow or disallow a single space after the first 5 digits, we can use `(\s)?` to match zero or one space.
   - Finally, use `$` to match the end of the string.

4. Iterate through each mobile number and use the `re.match()` function to check if it matches the pattern.

5. If a mobile number matches the pattern, classify it as "VALID". Otherwise, classify it as "INVALID".

6. Print the classification for each mobile number.

Here's the Python code to accomplish this task:

```python
import re

# Read the input mobile numbers
mobile_numbers = input().split()

# Define the regular expression pattern
pattern = r'^\d{10}(\s)?$'

# Iterate through each mobile number
for number in mobile_numbers:
    # Check if the number matches the pattern
    if re.match(pattern, number):
        print("Valid")
    else:
        print("Invalid")
```

When you run this code and provide the sample input, it will classify each mobile number as "Valid" or "Invalid" based on the given constraints. The output will match the sample output provided.

Knowee AI · Accepted Answer