fix: simplify stanh implementation in paddle frontend and avoid nan v…

…alues from exp in the test(#28493)

ivy/functional/frontends/paddle/math.py

@@ -629,13 +629,8 @@ def square(x, name=None):
 @with_supported_dtypes({"2.6.0 and below": ("float32", "float64")}, "paddle")
 @to_ivy_arrays_and_back
 def stanh(x, scale_a=0.67, scale_b=1.7159, name=None):
-    # TODO this function will be simplified as soon as the ivy.stanh(x,a,b) is added
-    exp_ax = ivy.exp(ivy.multiply(scale_a, x))
-    exp_minus_ax = ivy.exp(ivy.multiply(-scale_a, x))
-    numerator = ivy.subtract(exp_ax, exp_minus_ax)
-    denominator = ivy.add(exp_ax, exp_minus_ax)
-    ret = ivy.multiply(scale_b, ivy.divide(numerator, denominator))
-    return ret
+    ret = ivy.stanh(x, alpha=scale_b, beta=scale_a, out=name)
+    return ivy.asarray(ret, dtype=x.dtype)
 
 
 @with_unsupported_dtypes({"2.6.0 and below": ("float16", "bfloat16")}, "paddle")

ivy_tests/test_ivy/test_frontends/test_paddle/test_math.py

@@ -2495,8 +2495,20 @@ def test_paddle_square(
     dtype_and_x=helpers.dtype_and_values(
         available_dtypes=helpers.get_dtypes("float"),
     ),
-    scale_a=st.floats(1e-5, 1e5),
-    scale_b=st.floats(1e-5, 1e5),
+    scale_a=st.floats(
+        min_value=-5,
+        max_value=5,
+        allow_nan=False,
+        allow_subnormal=False,
+        allow_infinity=False,
+    ),
+    scale_b=st.floats(
+        min_value=-5,
+        max_value=5,
+        allow_nan=False,
+        allow_subnormal=False,
+        allow_infinity=False,
+    ),
 )
 def test_paddle_stanh(
     *,