Something is fishy.

The error is the DaCe loading code.
Let's use only general names to see what is happening.

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

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

@@ -11,6 +11,7 @@
 import copy
 import numpy as np
 import pytest
+import time
 
 from dace.sdfg import nodes as dace_nodes, propagation as dace_propagation
 
@@ -28,7 +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("only_dependent")
+    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
     state = sdfg.add_state("state", is_start_block=True)
     sdfg.add_symbol("N", dace.int32)
     sdfg.add_symbol("M", dace.int32)
@@ -51,7 +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("only_dependent")
+    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
     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

@@ -12,6 +12,7 @@
 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
 
@@ -38,7 +39,7 @@ def _make_serial_sdfg_1(
         N: The size of the arrays.
     """
     shape = (N, N)
-    sdfg = dace.SDFG("serial_1_sdfg")
+    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
     state = sdfg.add_state(is_start_block=True)
 
     for name in ["a", "b", "tmp"]:
@@ -93,7 +94,7 @@ def _make_serial_sdfg_2(
         N: The size of the arrays.
     """
     shape = (N, N)
-    sdfg = dace.SDFG("serial_2_sdfg")
+    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
     state = sdfg.add_state(is_start_block=True)
 
     for name in ["a", "b", "c", "tmp_1", "tmp_2"]:
@@ -165,7 +166,7 @@ def _make_serial_sdfg_3(
     input_shape = (N_input,)
     output_shape = (N_output,)
 
-    sdfg = dace.SDFG("serial_3_sdfg")
+    sdfg = dace.SDFG(f"test_sdfg__{int(time.time() * 1000)}")
     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

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