Switched to UUID from time.

Also added a helper function.

tests/next_tests/unit_tests/program_processor_tests/runners_tests/dace/transformation_tests/test_gpu_utils.py

@@ -11,7 +11,6 @@
 import copy
 import numpy as np
 import pytest
-import time
 
 from dace.sdfg import nodes as dace_nodes
 
@@ -43,7 +42,7 @@ def _get_trivial_gpu_promotable(
     Args:
         tasklet_code: The body of the Tasklet inside the trivial map.
     """
-    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
+    sdfg = dace.SDFG(util.unique_name("gpu_promotable_sdfg"))
     state = sdfg.add_state("state", is_start_block=True)
     sdfg.add_symbol("N", dace.int32)
 

tests/next_tests/unit_tests/program_processor_tests/runners_tests/dace/transformation_tests/test_loop_blocking.py

@@ -11,13 +11,13 @@
 import copy
 import numpy as np
 import pytest
-import time
 
 from dace.sdfg import nodes as dace_nodes, propagation as dace_propagation
 
 from gt4py.next.program_processors.runners.dace_fieldview import (
     transformations as gtx_transformations,
 )
+from . import util
 
 pytestmark = pytest.mark.usefixtures("set_dace_settings")
 
@@ -29,7 +29,7 @@ def _get_simple_sdfg() -> tuple[dace.SDFG, Callable[[np.ndarray, np.ndarray], np
     can be taken out. This is because how it is constructed. However, applying
     some simplistic transformations this can be done.
     """
-    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
+    sdfg = dace.SDFG(util.unique_name("simple_block_sdfg"))
     state = sdfg.add_state("state", is_start_block=True)
     sdfg.add_symbol("N", dace.int32)
     sdfg.add_symbol("M", dace.int32)
@@ -52,7 +52,7 @@ def _get_chained_sdfg() -> tuple[dace.SDFG, Callable[[np.ndarray, np.ndarray], n
 
     The bottom Tasklet is the only dependent Tasklet.
     """
-    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
+    sdfg = dace.SDFG(util.unique_name("chained_block_sdfg"))
     state = sdfg.add_state("state", is_start_block=True)
     sdfg.add_symbol("N", dace.int32)
     sdfg.add_symbol("M", dace.int32)

tests/next_tests/unit_tests/program_processor_tests/runners_tests/dace/transformation_tests/test_map_fusion.py

@@ -12,7 +12,6 @@
 import dace
 import copy
 import numpy as np
-import time
 from dace.sdfg import nodes as dace_nodes
 from dace.transformation import dataflow as dace_dataflow
 
@@ -39,7 +38,7 @@ def _make_serial_sdfg_1(
         N: The size of the arrays.
     """
     shape = (N, N)
-    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
+    sdfg = dace.SDFG(util.unique_name("serial_sdfg1"))
     state = sdfg.add_state(is_start_block=True)
 
     for name in ["a", "b", "tmp"]:
@@ -94,7 +93,7 @@ def _make_serial_sdfg_2(
         N: The size of the arrays.
     """
     shape = (N, N)
-    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
+    sdfg = dace.SDFG(util.unique_name("serial_sdfg2"))
     state = sdfg.add_state(is_start_block=True)
 
     for name in ["a", "b", "c", "tmp_1", "tmp_2"]:
@@ -166,7 +165,7 @@ def _make_serial_sdfg_3(
     input_shape = (N_input,)
     output_shape = (N_output,)
 
-    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
+    sdfg = dace.SDFG(util.unique_name("serial_sdfg3"))
     state = sdfg.add_state(is_start_block=True)
 
     for name, shape in [

tests/next_tests/unit_tests/program_processor_tests/runners_tests/dace/transformation_tests/test_serial_map_promoter.py

@@ -11,7 +11,6 @@
 import copy
 import numpy as np
 import pytest
-import time
 
 from dace.sdfg import nodes as dace_nodes
 
@@ -29,7 +28,7 @@ def test_serial_map_promotion():
     N = 10
     shape_1d = (N,)
     shape_2d = (N, N)
-    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
+    sdfg = dace.SDFG(util.unique_name("serial_promotable_sdfg"))
     state = sdfg.add_state(is_start_block=True)
 
     # 1D Arrays

tests/next_tests/unit_tests/program_processor_tests/runners_tests/dace/transformation_tests/util.py

@@ -7,15 +7,12 @@
 # SPDX-License-Identifier: BSD-3-Clause
 
 from typing import Union, Literal, overload
+import uuid
 
 import dace
 from dace.sdfg import nodes as dace_nodes
 from dace.transformation import dataflow as dace_dataflow
 
-__all__ = [
-    "_count_nodes",
-]
-
 
 @overload
 def _count_nodes(
@@ -57,3 +54,8 @@ def _count_nodes(
     if return_nodes:
         return found_nodes
     return len(found_nodes)
+
+
+def unique_name(name: str) -> str:
+    """Adds a unique string to `name`."""
+    return f"{name}_{str(uuid.uuid1()).replace('-', '_')}"