From 4503e19601635059d2e4e8f7651f9b4b168a6e7a Mon Sep 17 00:00:00 2001
From: Bryan Ward <bcw@cs.unc.edu>
Date: Thu, 18 Apr 2013 16:12:24 -0400
Subject: DGL support.

---
 gen/__init__.py       |  1 +
 gen/edf_generators.py | 24 ++++++++++++++++++++++++
 gen/generator.py      |  2 +-
 3 files changed, 26 insertions(+), 1 deletion(-)

diff --git a/gen/__init__.py b/gen/__init__.py
index 8c60b46..1798d57 100644
--- a/gen/__init__.py
+++ b/gen/__init__.py
@@ -4,3 +4,4 @@ import edf_generators as edf
 gen.register_generator("G-EDF", edf.GedfGenerator)
 gen.register_generator("P-EDF", edf.PedfGenerator)
 gen.register_generator("C-EDF", edf.CedfGenerator)
+gen.register_generator("P-EDF-DGL", edf.PedfDglGenerator)
diff --git a/gen/edf_generators.py b/gen/edf_generators.py
index 3f05b76..1b7bb95 100644
--- a/gen/edf_generators.py
+++ b/gen/edf_generators.py
@@ -7,6 +7,8 @@ TP_TBASE = """#for $t in $task_set
 TP_GLOB_TASK = TP_TBASE.format("")
 TP_PART_TASK = TP_TBASE.format("-p $t.cpu")
 
+TP_DGL_TASK = TP_TBASE.format("dglspin -r $t.mask -p $t.cpu")
+
 class EdfGenerator(gen.Generator):
     '''Creates sporadic task sets with the most common Litmus options.'''
     def __init__(self, scheduler, templates, options, params):
@@ -74,3 +76,25 @@ class GedfGenerator(EdfGenerator):
     def __init__(self, params={}):
         super(GedfGenerator, self).__init__("GSN-EDF", [TP_GLOB_TASK],
                                             [], params)
+
+class PedfDglGenerator(EdfGenerator):
+    NR_RESOURCES_OPTION = gen.GenOption('nr_resources', int, [8],
+                                   'Number of resources.',)
+    NR_REQUESTED_OPTION = gen.GenOption('nr_requested', int, [2],
+                                   'Number of resources requested.',)
+
+    def __init__(self, params={}):
+        super(PedfDglGenerator, self).__init__("PSN-EDF",
+            [TP_DGL_TASK], [], params)
+
+
+    def _customize(self, taskset, exp_params):
+        start = 1 if exp_params['release_master'] else 0
+        # Random partition for now: could do a smart partitioning
+        for t in taskset:
+            t.cpu = random.randint(start, exp_params['cpus'] - 1)
+            resources = random.sample(xrange(exp_params['nr_resources']), exp_params['nr_requested'])
+            t.mask = list('0'*10)
+            for r in resources:
+                t.mask[r] = '1'
+            t.mask = ''.join(t.mask)
diff --git a/gen/generator.py b/gen/generator.py
index f35a22b..bfda201 100644
--- a/gen/generator.py
+++ b/gen/generator.py
@@ -72,7 +72,7 @@ class Generator(object):
             config = get_config_option("RELEASE_MASTER") and True
         except:
             config = False
-        release_master = list(set([False, config]))
+        release_master = list(set([False, bool(config)]))
 
 
         return [GenOption('tasks', int, range(cpus, 5*cpus, cpus),
-- 
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