fixes: explodinggradients#1271

1. Add Non LLM based context precision
2. Rename and introduce naming convention to metrics -
<llm_or_non_llm><metric_name><with_or_without_reference>

```python

from ragas import SingleTurnSample
from ragas.metrics._context_precision import NonLLMContextPrecisionWithReference

context_precision = NonLLMContextPrecisionWithReference()

sample = SingleTurnSample(
    retrieved_contexts=["The Eiffel Tower is located in Paris."], 
    reference_contexts=["Paris is the capital of France.", "The Eiffel Tower is one of the most famous landmarks in Paris."]
)

await context_precision.single_turn_ascore(sample)
```

---------

Co-authored-by: Jithin James <jamesjithin97@gmail.com>

…ts#1281)

…1279)

Hello there 👋 I noticed that there was no way to disable the
progress bar and thought it'd nice to have the option to silence the
`tqdm` call in the executor, as it doesn’t play nicely with logs and
adds noise.

I've added the following changes:

Add `show_progress` flag to `Executor` class and update `evaluate`
function to use it.

* **Executor Class Changes:**
- Add `show_progress` flag to the `Executor` class in
`src/ragas/executor.py`.
- Use the `show_progress` flag to control the display of the progress
bar.
- If `show_progress` is set to False, disable `tqdm` usage for
displaying progress bars.

* **Evaluate Function Changes:**
- Add `show_progress` parameter to the `evaluate` function in
`src/ragas/evaluation.py`.
- Pass the `show_progress` flag to the `Executor` class during
initialization in the `evaluate` function.