Log File Error Counter

You are given a series of log entries. The first line of the input contains a filter log level (for example, ERROR). Each subsequent line represents a log entry in the format timestamp|log_level|message. Your task is to count the occurrences of each unique error message that matches the provided log level. The output should be a JSON-formatted dictionary where the keys are the error messages and the values are their corresponding counts.

For example, consider the following input:

ERROR
2023-10-01 12:01:00|ERROR|Failed to connect to database
2023-10-01 12:02:00|ERROR|Failed to connect to database
2023-10-01 12:03:00|ERROR|Service unavailable

The expected output would be:

{"Failed to connect to database": 2, "Service unavailable": 1}

Make sure to read from stdin and write your output to stdout.

inputFormat

The input begins with a single line containing the log level to filter (e.g., ERROR). Following this, each line represents a log entry in the format:

timestamp|log_level|message

Read until the end of input.

outputFormat

Output a single line: a JSON-formatted dictionary where each key is a distinct error message (from log entries that match the given log level) and its value is the number of times that message occurred.

## sample

ERROR
2023-10-01 12:01:00|ERROR|Failed to connect to database

{"Failed to connect to database": 1}