fix: fixing the tests for ivy.Shape method and removed unused methods(

ivy-llc#28470)

Removed methods:
* `__mod__`
*  `__rmod__`
*  `__rdiv__`
*  `__div__`
*  `__sub__`
*  `__rsub__`
*  `__int__`
*  `__floordiv__`

Methods to add as superset:
`torch.Size`: `numel` and `__getnewargs__` 
`tf.TensorShape`: `most_specific_common_supertype`, `cast`, `__concat__`, `is_subtype_of`, `_tf_api_names_v1`, `experimental_from_proto`, `flatten`, `_v2_behavior`, `experimental_as_proto`, `assert_is_compatible_with`, `_dims`, `merge_with`, `experimental_type_proto`, `__nonzero__`, `as_proto`, `most_specific_compatible_shape`, `placeholder_value`, `to_tensors`, `from_tensors`,  and `_tf_api_names`

ivy/__init__.py

@@ -304,59 +304,23 @@ def __rmul__(self, other):
         return self
 
     def __bool__(self):
+        if ivy.current_backend_str() == "tensorflow":
+            return builtins.bool(builtins.tuple(self._shape))
         return builtins.bool(self._shape)
 
-    def __div__(self, other):
-        return to_ivy(self._shape // other)
-
-    def __floordiv__(self, other):
-        return to_ivy(self._shape // other)
-
-    def __mod__(self, other):
-        return to_ivy(self._shape % other)
-
-    def __rdiv__(self, other):
-        return to_ivy(other // self._shape)
-
-    def __rmod__(self, other):
-        return to_ivy(other % self._shape)
-
     def __reduce__(self):
         return (self.__class__, (self._shape,))
 
     def as_dimension(self, other):
         if isinstance(other, self._shape):
             return to_ivy(other)
         else:
-            return to_ivy(self._shape)
-
-    def __sub__(self, other):
-        try:
-            self._shape = self._shape - other
-        except TypeError:
-            self._shape = self._shape - list(other)
-        return self
-
-    def __rsub__(self, other):
-        try:
-            self._shape = other - self._shape
-        except TypeError:
-            self._shape = list(other) - self._shape
-        return self
+            return self._shape
 
     def __eq__(self, other):
         self._shape = Shape._shape_casting_helper(self._shape, other)
         return self._shape == other
 
-    def __int__(self):
-        if hasattr(self._shape, "__int__"):
-            res = self._shape.__int__()
-        else:
-            res = int(self._shape)
-        if res is NotImplemented:
-            return res
-        return to_ivy(res)
-
     def __ge__(self, other):
         self._shape = Shape._shape_casting_helper(self._shape, other)
         return self._shape >= other