From 09055b8baf90fd2c8c70304e0cd6fb12f9068a36 Mon Sep 17 00:00:00 2001
From: Daniel Friesel <daniel.friesel@uos.de>
Date: Thu, 27 Aug 2020 10:36:23 +0200
Subject: Support xz-compressed files

---
 bin/msp430-etv | 130 ++++++++++++++++++++++++++++++---------------------------
 1 file changed, 69 insertions(+), 61 deletions(-)

(limited to 'bin/msp430-etv')

diff --git a/bin/msp430-etv b/bin/msp430-etv
index 504f4f1..28cc514 100755
--- a/bin/msp430-etv
+++ b/bin/msp430-etv
@@ -16,65 +16,6 @@ import time
 opt = dict()
 
 
-def running_mean(x: np.ndarray, N: int) -> np.ndarray:
-    """
-    Compute `N` elements wide running average over `x`.
-
-    :param x: 1-Dimensional NumPy array
-    :param N: how many items to average. Should be even for optimal results.
-    """
-
-    # to ensure that output.shape == input.shape, we need to insert data
-    # at the boundaries
-    boundary_array = np.insert(x, 0, np.full((N // 2), x[0]))
-    boundary_array = np.append(boundary_array, np.full((N // 2 + N % 2), x[-1]))
-    print(boundary_array)
-    cumsum = np.cumsum(boundary_array)
-    return (cumsum[N:] - cumsum[:-N]) / N
-
-
-def measure_data(filename, duration):
-    # libmsp430.so must be available
-    if not "LD_LIBRARY_PATH" in os.environ:
-        os.environ[
-            "LD_LIBRARY_PATH"
-        ] = "{}/var/projects/msp430/MSP430Flasher_1.3.15".format(os.environ["HOME"])
-
-    # https://github.com/carrotIndustries/energytrace-util must be available
-    energytrace_cmd = "energytrace"
-    if which(energytrace_cmd) is None:
-        energytrace_cmd = "{}/var/source/energytrace-util/energytrace64".format(
-            os.environ["HOME"]
-        )
-
-    if filename is not None:
-        output_handle = open(filename, "w+")
-    else:
-        output_handle = tempfile.TemporaryFile("w+")
-
-    energytrace = subprocess.Popen(
-        [energytrace_cmd, str(duration)], stdout=output_handle, universal_newlines=True
-    )
-
-    try:
-        if duration:
-            time.sleep(duration)
-        else:
-            print("Press Ctrl+C to stop measurement")
-            while True:
-                time.sleep(3600)
-    except KeyboardInterrupt:
-        energytrace.send_signal(subprocess.signal.SIGTERM)
-
-    energytrace.communicate(timeout=5)
-
-    output_handle.seek(0)
-    output = output_handle.read()
-    output_handle.close()
-
-    return output
-
-
 def show_help():
     print(
         """msp430-etv - MSP430 EnergyTrace Visualizer
@@ -91,6 +32,8 @@ using MSP430 EnergyTrace technology. Measurements can be taken directly (by
 specifying <measurement duration> in seconds) or loaded from a logfile using
 --load <file>. Data can be plotted or aggregated on stdout.
 
+This program is not affiliated with Texas Instruments. Use at your own risk.
+
 OPTIONS
 
   --load <file>
@@ -134,6 +77,65 @@ LD library search path (e.g. LD_LIBRARY_PATH=../MSP430Flasher).
     )
 
 
+def running_mean(x: np.ndarray, N: int) -> np.ndarray:
+    """
+    Compute `N` elements wide running average over `x`.
+
+    :param x: 1-Dimensional NumPy array
+    :param N: how many items to average. Should be even for optimal results.
+    """
+
+    # to ensure that output.shape == input.shape, we need to insert data
+    # at the boundaries
+    boundary_array = np.insert(x, 0, np.full((N // 2), x[0]))
+    boundary_array = np.append(boundary_array, np.full((N // 2 + N % 2), x[-1]))
+    print(boundary_array)
+    cumsum = np.cumsum(boundary_array)
+    return (cumsum[N:] - cumsum[:-N]) / N
+
+
+def measure_data(filename, duration):
+    # libmsp430.so must be available
+    if not "LD_LIBRARY_PATH" in os.environ:
+        os.environ[
+            "LD_LIBRARY_PATH"
+        ] = "{}/var/projects/msp430/MSP430Flasher_1.3.15".format(os.environ["HOME"])
+
+    # https://github.com/carrotIndustries/energytrace-util must be available
+    energytrace_cmd = "energytrace"
+    if which(energytrace_cmd) is None:
+        energytrace_cmd = "{}/var/source/energytrace-util/energytrace64".format(
+            os.environ["HOME"]
+        )
+
+    if filename is not None:
+        output_handle = open(filename, "w+")
+    else:
+        output_handle = tempfile.TemporaryFile("w+")
+
+    energytrace = subprocess.Popen(
+        [energytrace_cmd, str(duration)], stdout=output_handle, universal_newlines=True
+    )
+
+    try:
+        if duration:
+            time.sleep(duration)
+        else:
+            print("Press Ctrl+C to stop measurement")
+            while True:
+                time.sleep(3600)
+    except KeyboardInterrupt:
+        energytrace.send_signal(subprocess.signal.SIGTERM)
+
+    energytrace.communicate(timeout=5)
+
+    output_handle.seek(0)
+    output = output_handle.read()
+    output_handle.close()
+
+    return output
+
+
 def peak_search(data, lower, upper, direction_function):
     while upper - lower > 1e-6:
         bs_test = np.mean([lower, upper])
@@ -201,8 +203,14 @@ if __name__ == "__main__":
         sys.exit(2)
 
     if "load" in opt:
-        with open(opt["load"], "r") as f:
-            log_data = f.read()
+        if ".xz" in opt["load"]:
+            import lzma
+
+            with lzma.open(opt["load"], "rt") as f:
+                log_data = f.read()
+        else:
+            with open(opt["load"], "r") as f:
+                log_data = f.read()
     else:
         log_data = measure_data(opt["save"], duration)
 
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