### Summary

The way in which we are using `retry_with_delays_and_condition` along with `generate_jittered_backoff` may prevent subsequent failures from retrying if the generator was consumed by previous calls to `_call_galaxy`.

It appears as though the `backoff_iterator` in this case is global for all calls, and not refreshed per call to `_call_galaxy`:

https://github.com/ansible/ansible/blob/c564c6e21e4538b475df2ae4b3f66b73decff160/lib/ansible/galaxy/api.py#L328-L332

Currently every call to `_call_galaxy` consumes at least 1 item in the `backoff_iterator`, even when a retry isn't attempted, so after 6 calls, no-retries would ever be performed.

This may require making `backoff_iterator` take a callable, or something that can regenerate the iterator, instead of acting as a global state iterator.

### Issue Type

Bug Report

### Component Name

lib/ansible/galaxy/api.py

### Ansible Version

```console
$ ansible --version
```


### Configuration

```console
# if using a version older than ansible-core 2.12 you should omit the '-t all'
$ ansible-config dump --only-changed -t all
```


### OS / Environment

N/A

### Steps to Reproduce

<!--- Paste example playbooks or commands between quotes below -->
```yaml (paste below)

```


### Expected Results

N/A

### Actual Results

```console
N/A
```


### Code of Conduct

- [X] I agree to follow the Ansible Code of Conduct
"""rate limiting decorator"""
    minrate = None
    if rate is not None and rate_limit is not None:
        minrate = float(rate_limit) / float(rate)
    def wrapper(f):
        last = [0.0]
        def ratelimited(*args, **kwargs):
            if sys.version_info >= (3, 8):
                real_time = time.process_time
            else:
                real_time = time.clock
            if minrate is not None:
                elapsed = real_time() - last[0]
                left = minrate - elapsed
                if left > 0:
                    time.sleep(left)
                last[0] = real_time()
            ret = f(*args, **kwargs)
            return ret
        return ratelimited
    return wrapper
def retry(retries=None, retry_pause=1):