Parse logs and count error codes

You are given application log lines. Each line is expected to follow this format: ``` [LEVEL] timestamp, eventName, errorCode, text ``` - `LEVEL` is a single character such as `I`, `W`, `E` inside square brackets (e.g., `[I]`). - Fields after the level are separated by commas. - `text` may contain arbitrary characters (assume it does **not** contain a newline). ### Task Write a Python function that parses a list of log lines and returns the count of each `errorCode`. ### Input - A list of strings `lines`, where each string is one log line. ### Output - A dictionary/map from `errorCode` (string) to its occurrence count (integer). ### Requirements / Edge cases - Trim extra whitespace around comma-separated fields. - Ignore lines that do not match the expected format (do not crash). - Treat `errorCode` as a string (e.g., `"404"`, `"E123"`). ### Example Input: ``` [I] 2026-01-01T00:00:00Z, Login, E123, user not found [W] 2026-01-01T00:00:01Z, Login, E123, retry [E] 2026-01-01T00:00:02Z, Payment, P007, declined ``` Output: ``` { "E123": 2, "P007": 1 } ```