fix IO.available_attributes(), remove a debug print from Stream, fix …

examples/hello/sstReader/sstReader-bindings.py

@@ -36,7 +36,15 @@
     sstReader.EndStep()
 
     print(
-        "Rank=", rank, "loop index =", loopStep, "stream step =", currentStep, "data =", floatArray
+        "Rank=",
+        rank,
+        "loop index =",
+        loopStep,
+        "stream step =",
+        currentStep,
+        "data =",
+        floatArray,
+        flush=True,
     )
     loopStep = loopStep + 1
 

examples/hello/sstReader/sstReader.py

@@ -34,4 +34,5 @@
             currentStep,
             "data =",
             floatArray,
+            flush=True,
         )

examples/hello/sstWriter/sstWriter-bindings.py

@@ -33,7 +33,7 @@
 
 sstWriter = sstIO.Open("helloSst", adios2.Mode.Write)
 for i in range(4):
-    print("Rank=", rank, "loop index =", i, "data =", myArray)
+    print("Rank=", rank, "loop index =", i, "data =", myArray, flush=True)
     sstWriter.BeginStep()
     sstWriter.Put(ioArray, myArray, adios2.Mode.Sync)
     myArray += increment

examples/hello/sstWriter/sstWriter.py

@@ -34,7 +34,7 @@
         sleep(1.0)
 
         stream.write("bpFloats", myArray, [size * nx], [rank * nx], [nx])
-        print("Rank=", rank, "loop index =", currentStep, "data =", myArray)
+        print("Rank=", rank, "loop index =", currentStep, "data =", myArray, flush=True)
         myArray += increment
         # Warning: the data of the current step is not published until
         # the next loop entry or the exit of the loop

python/adios2/io.py

@@ -103,10 +103,7 @@ def available_attributes(self):
                 value
                     attribute information dictionary
         """
-        attributes = {}
-        for name, attr in self.impl.AvailableAttributes():
-            attributes[name] = Attribute(attr, name)
-        return attributes
+        return self.impl.AvailableAttributes()
 
     def remove_attribute(self, name):
         """

python/adios2/stream.py

@@ -311,10 +311,6 @@ def read(self, variable: Variable):
 
             output_shape = np.array(count)
             output_shape[0] *= steps
-            print(
-                f"Stream.read variable {variable.name()} dtype = {dtype} "
-                f"shape = {output_shape}, steps = {variable.steps()}"
-            )
         else:
             # scalar
             output_shape = (variable.selection_size(),)

scripts/ci/images/Dockerfile.ci-el8-intel

@@ -27,7 +27,7 @@ RUN dnf install -y \
         patch \
         patchelf \
         python39-devel \
-        python3-pip \
+        python39-pip \
         tar \
         tcl \
         unzip \