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authorFlorian Fischer <florian.fl.fischer@fau.de>2019-06-27 01:19:18 +0200
committerFlorian Fischer <florian.fl.fischer@fau.de>2019-08-26 18:12:15 +0200
commitf2772c675511b0bd1299461f271ceddad6eec4a3 (patch)
tree80d909f8f1e427b809a69641bf449d5cb1af0acc
parent7561d43ee606bb402d50aad78fcc4ad53274d3cd (diff)
downloadallocbench-f2772c675511b0bd1299461f271ceddad6eec4a3.tar.gz
allocbench-f2772c675511b0bd1299461f271ceddad6eec4a3.zip
add script to plot histogram of allocation sizes from malt json files
-rwxr-xr-xscripts/histogram.py58
1 files changed, 58 insertions, 0 deletions
diff --git a/scripts/histogram.py b/scripts/histogram.py
new file mode 100755
index 0000000..122035e
--- /dev/null
+++ b/scripts/histogram.py
@@ -0,0 +1,58 @@
+#!/usr/bin/env python3
+
+import argparse
+import json
+import matplotlib.pyplot as plt
+
+
+parser = argparse.ArgumentParser(description="Plot interactive histogram using a malt json output file")
+parser.add_argument("malt_output_file", help="path to malt output file", type=str)
+parser.add_argument("-e", "--export", help="export to csv", action="store_true")
+
+def main():
+ args = parser.parse_args()
+
+ with open(args.malt_output_file, "r") as f:
+ res = json.load(f)
+
+ if args.export:
+ with open(args.malt_output_file.replace("json", "csv"), "w") as f:
+ print("Size", "Amount", file=f)
+ for size, amount in res["memStats"]["sizeMap"].items():
+ print(size, amount, file=f)
+
+ else:
+ sizes = []
+ sizes_smaller_4K = []
+ sizes_smaller_32K = []
+ sizes_bigger_32K = []
+ for size, amount in res["memStats"]["sizeMap"].items():
+ size = int(size)
+ sizes += [int(size)] * amount
+ if size < 4096:
+ sizes_smaller_4K += [int(size)] * amount
+ if size < 32000:
+ sizes_smaller_32K += [int(size)] * amount
+ else:
+ sizes_bigger_32K += [int(size)] * amount
+
+
+ plt.figure(0)
+ plt.hist(sizes_smaller_4K, 200)
+ plt.title("Sizes smaller than 4K")
+
+ plt.figure(1)
+ plt.hist(sizes_smaller_32K, 200)
+ plt.title("Sizes smaller than 32K")
+
+ plt.figure(2)
+ plt.hist(sizes_bigger_32K, 200)
+ plt.title("Sizes bigger than 32K")
+
+ plt.figure(3)
+ plt.hist(sizes, 200)
+ plt.title("All sizes")
+ plt.show()
+
+if __name__ == "__main__":
+ main()