diff --git a/exptr.py b/exptr.py
deleted file mode 100644
index 2046681..0000000
--- a/exptr.py
+++ /dev/null
@@ -1,44 +0,0 @@
-from service_capacity_modeling.capacity_planner import planner
-from service_capacity_modeling.interface import AccessPattern, certain_float
-from service_capacity_modeling.interface import CapacityDesires
-from service_capacity_modeling.interface import DataShape
-from service_capacity_modeling.interface import Interval
-from service_capacity_modeling.interface import QueryPattern
-
-
-def test_evcache_cpu_bound():
-    high_qps = CapacityDesires(
-       service_tier=0,
-       query_pattern=QueryPattern(
-           estimated_read_per_second=Interval(
-               low=5950000, mid=34800000, high=34800000 * 1.2, confidence=1.0
-           ),
-           estimated_write_per_second=Interval(
-               low=50000, mid=476000, high=476000 * 1.2, confidence=1.0
-           ),
-           estimated_write_size_bytes=Interval(
-               low=3778, mid=3778, high=3778 * 1.2, confidence=1.0
-           ),
-           estimated_mean_read_size_bytes=Interval(
-               low=35, mid=35, high=35 * 1.2, confidence=1.0
-           )
-       ),
-       data_shape=DataShape(
-           estimated_state_size_gib=Interval(
-               low=36, mid=36, high=36, confidence=1.0
-           ),
-           estimated_state_item_count=Interval(
-               low=416000000, mid=804000000, high=804000000 * 1.2, confidence=1.0
-           ),
-       ),
-    )
-
-    plan = planner.plan_certain(
-        model_name="org.netflix.evcache",
-        region="us-east-1",
-        desires=high_qps,
-    )
-
-    print (plan)
-
-test_evcache_cpu_bound()
\ No newline at end of file
diff --git a/tests/netflix/test_evcache.py b/tests/netflix/test_evcache.py
index 0f4c0fe..966328d 100644
--- a/tests/netflix/test_evcache.py
+++ b/tests/netflix/test_evcache.py
@@ -116,16 +116,16 @@ def test_evcache_inmemory_high_latency_reads_cpu():
                 low=19000, mid=35000, high=35000 * 1.2, confidence=1.0
             ),
             estimated_mean_write_size_bytes=Interval(
-                low=1450, mid=1450, high=1450 * 1.2, confidence=1.0
+                low=7250, mid=7250, high=7250 * 1.2, confidence=1.0
             ),
             estimated_mean_read_size_bytes=Interval(
-                low=1031, mid=1031, high=1031 * 1.2, confidence=1.0
+                low=5100, mid=5100, high=5100 * 1.2, confidence=1.0
             ),
         ),
         data_shape=DataShape(
-            estimated_state_size_gib=Interval(low=466, mid=466, high=466, confidence=1.0),
+            estimated_state_size_gib=Interval(low=1662, mid=1662, high=1662, confidence=1.0),
             estimated_state_item_count=Interval(
-                low=340000000, mid=526000000, high=526000000 * 1.2, confidence=1.0
+                low=750000000, mid=750000000, high=750000000 * 1.2, confidence=1.0
             ),
         ),
     )