<reasoning_content>
*   Goal: Extend `JobQueue` class with a `process_job` method.
    *   Method signature: `process_job(job_id: str, Processor: Callable) -> bool`.
    *   Mechanism:
        1.  Look up `data` from `add_job(job_id, data)`.
        2.   Execute `processor(data)`.
        3.   Handle exceptions: retry up to 4 times total (1 initial + 3 retries).
        4.  Track retries per job.
        5.  Exponential backoff: 1s, 2s, 4s (but do *not* use `time.sleep`).
        6.  Record delays as data.
        77.  Return `True` on success, `False` on failure after 4 attempts.
        78.  Constraints: Standard library only, Python code only (no explanations).

    *   I need a base `JobQueue` class first to satisfy the prompt's context (since I'm extending it).
    *   `JobQueue` needs to store jobs (id -> data).
    *   `JobQueue` needs to store retry counts (id -> count).
    *   `JobQueue` needs to store the delays (id -> list of delays).

    *   *Attempt 1*:
        *   Call `processor(data)`.
        *   Success? Return `True`.
        *   Fail? Increment counter. Record delay ($2^{(count-1)}$ or similar sequence).
    *   *Retries*:
        *   Maximum 4 attempts.
        *   Loop/Recursion logic for retries.

    *   Attempt 0 (Initial): Delay 1 (if failed).
    *   Attempt 1 (Retry 1): Delay 2 (if failed).
    *   Attempt 2 (Retry 2): Delay 4 (if failed).
    *   Attempt 3 (Retry 3): Total 4 attempts reached.

    Wait, the prompt says: "delays of 1s, 2s, 4s".
    - Attempt 1 fails -> Delay 1s -> Attempt 2.
    - Attempt 2 fails -> Delay 2s -> Attempt 3.
    - Attempt 3 fails -> Delay 4s -> Attempt 4.
    - Attempt 4 fails -> Stop.

    *Storage*:
    - `self.jobs`: Dict[str, dict]
    - `self.retries`: Dict[str, int]
    - `self.delays`: Dict[str, list]

    ```python
    from typing import Callable, Dict, List

    class JobQueue:
        def __init__(self):
            self.jobs: Dict[str, dict] = {}
            self.retries: Dict[str, int] = {}
            self.delays: Dict[str, List[int]] = {}

        def add_job(self, job_id: str, data: dict):
            self.jobs[job_id] = data
            self.retries[job_id] = 0
            self.delays[job_id] = []

        def process_job(self, job_id: str, Processor: Callable) -> bool:
            if job_id not in self.jobs:
                return False

            data = self.jobs[job_id]
            max_attempts = 4

            for attempt in range(max_attempts):
                try:
                    Processor(data)
                    return True
                except Exception:
                    if attempt < max_attempts - 1:
                        # Calculate backoff: 1, 2, 4
                        delay = 2 ** attempt
                        self.retries[job_id] += 1
                        self.delays[job_id].append(delay)
                    else:
                        # Final attempt failed
                        break
            return False
    ```

    *Refining retry count logic*:
    If `attempt` is 0 (first try), and it fails:
    - `retries` becomes 1.
    - `delay` is $2^0 = 1$.
    If `attempt` is 1 (second try), and it fails:
    - `retries` becomes 2.
    - `delay` is $2^1 = 2$.
    If `attempt` is 2 (third try), and it fails:
    - `retries` becomes 3.
    - `delay` is $2^2 = 4$.
    If `attempt` is 3 (fourth try), and it fails:
    - `retries` stays 3? Or becomes 4?
    - "Record the delays as data".
    - Prompt says: "Make up to 4 total attempts (initial + 3 retries)".
    - If attempt 4 fails, we stop.

    Actually, the prompt says "Track the retry count per job".
    Does the retry count increment only on failure? Yes.

    Let's check the loop:
    Attempt 0 (Initial):
      Exec. Fail.
      retries[id] = 1
      delays[id] = [1]
    Attempt 1 (Retry 1):
      Exec. Fail.
      retries[id] = 2
      delays[id] = [1, 2]
    Attempt 2 (Retry 2):
      Exec. Fail.
      retries[id] = 3
      delays[id] = [1, 2, 4]
    Attempt 3 (Retry 3):
      Exec. Fail.
      Stop.

    Wait, if Attempt 3 (the 4th attempt) fails, should I record a 4th delay?
    The prompt says: "delays of 1s, 2s, 4s". This implies only 3 delays are expected for 4 attempts.
    So if the 4th attempt fails, we don't record another delay because the limit is reached.

    *   Standard library? Yes.
    *   No `time.sleep`? Yes.
    *   Return True on success, False on failure? Yes.
    *    Record delays as data? Yes.

    ```python
    from typing import Callable, Dict, List

    class JobQueue:
        def __init__(self):
            self.jobs: Dict[str, dict] = {}
            self.retries: Dict[str, int] = {}
            self.delays: Dict[str, List[int]] = {}

        def add_job(self, job_id: str, data: dict):
            self.jobs[job_id] = data
            self.retries[job_id] = 0
            self.delays[job_id]] = []

        def process_job(self, job_id: str, Processor: Callable) -> bool:
            if job_id not in self.jobs:
                return False

            data = self.jobs[job_id]
            max_attempts = 4

            for attempt in range(max_attempts):
                try:
                    Processor(data)
                    return True
                except Exception:
                    if attempt < max_attempts - 1:
                        delay = 2 ** attempt
                        self.retries[job_id] += 1
                        self.delays[job_id]].append(delay)
                    else:
                        break
            return False
    ```

    One detail: "Record the delays as data".
    Does this mean update the `self.jobs` dict or the `self.delays` dict?
     "Track the retry count per job. Use exponential backoff (delays of 1s, 2s, 4s). Do NOT actually sleep — record the delays as data."
    Usually, "record as data" in these prompts implies adding it to the object's storage for that job.

    I'll provide the `JobQueue` class with the `add_job` method included for context so the `process_job` method can function.
</reasoning_content>

<content>
```python
from typing import Callable, Dict, List

class JobQueue:
    def __init__(self):
        self.jobs: Dict[str, dict] = {}
        self.retries: Dict[str, int] = {}
        self.delays: Dict[str, List[int]] = {}

    def add_job(self, job_id: str, data: dict):
        self.jobs[job_id] = data
        self.retries[job_id] = 0
        self.delays[job_id]] = []

    def process_job(self, job_id: str, Processor: Callable) -> bool:
        if job_id not in self.jobs:
            return False

        data = self.jobs[job_id]
        max_attempts = 4

        for attempt in range(max_attempts):
            try:
                Processor(data)
                return True
            except Exception:
                if attempt < max_attempts - 1:
                    # Backoff sequence: 2^0=1, 2^1=2, 2^2=4
                    delay = 2 ** attempt
                    self.retries[job_id] += 1
                    self.delays[job_id]].append(delay)
                else:
                    break
        
        return False
```
</content>