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#!/usr/bin/env python3
import matplotlib.pyplot as plt
import numpy as np
import csv
import sys
import os
import common
import parseMe
# Sample data
def plotBars(ax, ticklabels, summary, timeDesc=""):
barWidth = 0.3
dataSize = len(summary[parseMe.args.ioTypes[0]])
br = {0: np.arange(dataSize)}
for i in range(1, dataSize):
br[i] = [x + barWidth for x in br[i - 1]]
for i, which in enumerate(parseMe.args.ioTypes):
ax.bar(br[i], summary[which], 0.3, label=which)
ax.set_ylabel("NumCalls")
ax.set_title("ADIOS numCalls:" + timeDesc)
ax.set_xticks([r + barWidth for r in range(dataSize)], ticklabels)
# Add legend
ax.legend()
def summarizeFile(inputFile):
try:
with open(inputFile, "r") as f:
data = csv.reader(f, delimiter=",", quotechar="|")
data1 = [float(row[0]) for row in data if row] # Handle empty rows
return int(data1[0]) if data1 else 0 # num of calls are the same for all ranks
except (FileNotFoundError, IndexError, ValueError) as e:
print(f"Warning: Could not process {inputFile}: {e}")
return 0
if __name__ == "__main__":
print("Script name:", sys.argv[0])
if len(sys.argv) < 2:
print("Need Arguments for files")
sys.exit()
found_async = [item for item in parseMe.args.ioTypes if "async" in item.lower()]
if found_async:
keywords = ["PP", "PDW", "ES", "BS_WaitOnAsync", "DC_WaitOnAsync1", "DC_WaitOnAsync2"]
ticklabels = [
"PP",
"PDW",
"ES",
"BS\nWaitOn\nAsync",
"DC\nWaitOn\nAsync1",
"DC\nWaitOn\nAsync2",
]
else:
keywords = ["PP", "PDW", "ES"]
ticklabels = ["PP", "PDW", "ES"]
summary = {key: [] for key in parseMe.args.ioTypes}
# barLabels = list(parseMe.args.ioTypes)
fig, ax1 = plt.subplots()
for which in parseMe.args.ioTypes:
for key in keywords:
inputFile = (
parseMe.command_options[parseMe.TAGS["input_dir"]] + which + "_nCalls_" + key
)
if os.path.exists(inputFile):
summary[which].append(summarizeFile(inputFile))
else:
summary[which].append(0)
if len(summary[parseMe.args.ioTypes[0]]) == 0:
print("Nothing to plot")
sys.exit()
plotBars(ax1, ticklabels, summary)
plt.legend()
# Show plot
figName = parseMe.command_options[parseMe.TAGS["out"]] + "_nCalls"
common.saveMe(figName)
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