feat(paddle Bucketize):adding test function for bucketize

ivy/functional/frontends/paddle/search.py

@@ -33,6 +33,21 @@ def argsort(x, /, *, axis=-1, descending=False, name=None):
     return ivy.argsort(x, axis=axis, descending=descending)
 
 
+# bucketize
+@with_supported_dtypes(
+    {"2.5.1 and below": ("float32", "float64", "int32", "int64")},
+    "paddle",
+)
+@to_ivy_arrays_and_back
+def bucketize(x, sorted_sequence, out_int32=False, right=False, name=None):
+    if ivy.get_num_dims(sorted_sequence) != 1:
+        raise ValueError(
+            "sorted_sequence tensor must be 1 dimension, but got dim"
+            f" {ivy.get_num_dims(sorted_sequence)}"
+        )
+    return searchsorted(sorted_sequence, x, out_int32=out_int32, right=right, name=name)
+
+
 @with_supported_dtypes(
     {"2.5.1 and below": ("int32", "int64", "float32", "float64")},
     "paddle",

ivy/functional/frontends/paddle/tensor/tensor.py

@@ -837,6 +837,15 @@ def t(self, name=None):
     def cast(self, dtype):
         return paddle_frontend.cast(self, dtype)
 
+    @with_supported_dtypes(
+        {"2.5.1 and below": ("float32", "float64", "int32", "int64")},
+        "paddle",
+    )
+    def bucketize(self, y, right=False, name=None):
+        return paddle_frontend.bucketize(
+            self.ivy_array, sorted_sequence=y, right=right, name=name
+        )
+
     @with_unsupported_dtypes({"2.5.1 and below": ("float16", "bfloat16")}, "paddle")
     def bmm(self, y, transpose_x=False, transpose_y=False, name=None):
         return paddle_frontend.bmm(self, y, transpose_x, transpose_y)

ivy_tests/test_ivy/test_frontends/test_paddle/test_search.py

@@ -149,6 +149,45 @@ def test_paddle_argsort(
     )
 
 
+# bucketize
+@handle_frontend_test(
+    fn_tree="paddle.bucketize",
+    dtype_and_values=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("valid"),
+        shared_dtype=True,
+        min_num_dims=1,
+        num_arrays=2,
+    ),
+    out_int32=st.booleans(),
+    right=st.booleans(),
+)
+def test_paddle_bucketize(
+    *,
+    dtype_and_values,
+    out_int32,
+    right,
+    on_device,
+    fn_tree,
+    frontend,
+    backend_fw,
+    test_flags,
+):
+    dtype, input = dtype_and_values
+    input[0] = np.sort(input[0])
+    helpers.test_frontend_function(
+        input_dtypes=dtype,
+        frontend=frontend,
+        backend_to_test=backend_fw,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        x=input[0],
+        sorted_sequence=input[1],
+        out_int32=out_int32,
+        right=right,
+    )
+
+
 @handle_frontend_test(
     fn_tree="paddle.index_sample",
     array_indices_axis=helpers.array_indices_axis(