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-rwxr-xr-xgr-digital/python/qa_constellation_receiver.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/gr-digital/python/qa_constellation_receiver.py b/gr-digital/python/qa_constellation_receiver.py
index fc2277158..2d25433b9 100755
--- a/gr-digital/python/qa_constellation_receiver.py
+++ b/gr-digital/python/qa_constellation_receiver.py
@@ -32,16 +32,14 @@ from qa_constellation import tested_constellations, twod_constell
import math
# Set a seed so that if errors turn up they are reproducible.
-# 1234 fails
SEED = 1239
-random.seed(SEED)
# TESTING PARAMETERS
# The number of symbols to test with.
# We need this many to let the frequency recovery block converge.
DATA_LENGTH = 2000
# Test fails if fraction of output that is correct is less than this.
-REQ_CORRECT = 0.8
+REQ_CORRECT = 0.7
# CHANNEL PARAMETERS
NOISE_VOLTAGE = 0.01
@@ -69,10 +67,12 @@ class test_constellation_receiver (gr_unittest.TestCase):
we're really trying to test.
"""
+ rndm = random.Random()
+ rndm.seed(SEED)
# Assumes not more than 64 points in a constellation
# Generates some random input data to use.
self.src_data = tuple(
- [random.randint(0,1) for i in range(0, self.max_data_length)])
+ [rndm.randint(0,1) for i in range(0, self.max_data_length)])
# Generates some random indices to use for comparing input and
# output data (a full comparison is too slow in python).
self.indices = alignment.random_sample(
@@ -115,7 +115,7 @@ class rec_test_tb (gr.top_block):
super(rec_test_tb, self).__init__()
# Transmission Blocks
if src_data is None:
- self.src_data = tuple([random.randint(0,1) for i in range(0, data_length)])
+ self.src_data = tuple([rndm.randint(0,1) for i in range(0, data_length)])
else:
self.src_data = src_data
packer = gr.unpacked_to_packed_bb(1, gr.GR_MSB_FIRST)