Comparing python objects (such as list/tuple) with mlx.core.array (#920)

* add implicit conversion of list to array for equality constraint

* add tests for array equality

* add test for tuple and array equality

* return False if __eq__ arg is list or tuple

* write tests for equality

* update the rule of comparison for __ge__/__gt__/__lt__/__le__

* add a helper function for detecting mlx.core.array

* return true in case fo inequality

* debug minor issue regarding detecting mlx array

* add tests for inequality comparisons

* add name for contribution

* reformat files using pre-commit

* update tests for float

* update tests for inequality

* raise exception in case of invalid comparisons

* use isinstance instead of string comparison

* replace "is_convirtable_to_array" with previous logic

* remove throwing exceptions for other operations

* just a comment

* minor changes for efficiency

* optimize a utils function

* change the function name

* Update ACKNOWLEDGMENTS.md

---------

Co-authored-by: Awni Hannun <awni.hannun@gmail.com>

ACKNOWLEDGMENTS.md

@@ -15,7 +15,7 @@ MLX was developed with contributions from the following individuals:
 - Hinrik Snær Guðmundsson: Added `atleast_1d`, `atleast_2d`, `atleast_3d` ops.
 - Luca Arnaboldi: Added `Ceil` and `Floor` ops; implemented pickling, copy and deepcopy for mlx arrays.
 - Brian Keene & Atila Orhon, with Argmax Inc.: Added `fast.scaled_dot_product_attention`
-- AmirHossein Razlighi: Added chaining support for some of the ops in `nn.Module`.
+- AmirHossein Razlighi: Added chaining support for some of the ops in `nn.Module`. Comparison works for non array objects in `mlx.core.array`.
 <a href="https://github.com/ml-explore/mlx/graphs/contributors">
   <img class="dark-light" src="https://contrib.rocks/image?repo=ml-explore/mlx&anon=0&columns=20&max=100&r=true" />
 </a>