From beab41dc5f360324549fd14b3daa8fce613e66ff Mon Sep 17 00:00:00 2001
From: Mac Mollison <mollison@cs.unc.edu>
Date: Sat, 13 Mar 2010 16:44:30 -0500
Subject: Updates included frontend scripts to match doc

---
 sample_script.py | 65 --------------------------------------------------------
 1 file changed, 65 deletions(-)
 delete mode 100755 sample_script.py

(limited to 'sample_script.py')

diff --git a/sample_script.py b/sample_script.py
deleted file mode 100755
index a5fed86..0000000
--- a/sample_script.py
+++ /dev/null
@@ -1,65 +0,0 @@
-#!/usr/bin/python
-
-################################################################################
-# Description
-################################################################################
-# This is a sample script for using the tool. I would recommend copying
-# this and modifying it to suit your needs for a particular test. Make
-# sure you redirect the output to a file (e.g. ./sample_script.py > output).
-
-################################################################################
-# Setup
-################################################################################
-
-# Import the modules we need. You should not need to know about
-# their internals.
-import unit_trace
-from unit_trace import trace_reader
-from unit_trace import sanitizer
-from unit_trace import gedf_test
-from unit_trace import stats
-from unit_trace import stdout_printer
-from unit_trace import visualizer
-
-# Specify your trace files
-g6 = [
-'./sample_traces/st-g6-0.bin',
-'./sample_traces/st-g6-1.bin',
-'./sample_traces/st-g6-2.bin',
-'./sample_traces/st-g6-3.bin',
-]
-
-################################################################################
-# Pipeline
-################################################################################
-
-# Read events from traces
-stream = trace_reader.trace_reader(g6)
-
-# Filter out garbage events
-stream = sanitizer.sanitizer(stream)
-
-# Produce G-EDF error records
-stream = gedf_test.gedf_test(stream)
-
-# Produce a statistics record
-stream = stats.stats(stream)
-
-# Filter some records out
-# NOTE: Currently, this will break the Visualizer if enabled
-def my_filter(record):
-    if record.record_type == 'error' and record.type_name == 'inversion_end':
-        if record.job.inversion_end - record.job.inversion_start < 4000000:
-            return False
-    return True
-#stream = filter(my_filter, stream)
-
-# Split the stream in two, so we can use both output mechanisms
-import itertools
-stream1, stream2 = itertools.tee(stream,2)
-
-# Print the records to stdout
-stdout_printer.stdout_printer(stream1)
-
-# Visualize the records
-visualizer.visualizer(stream2)
-- 
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