added times and alternative colours
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be33d19762
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@ -30,6 +30,21 @@ Use -exclude='regex' to specify signals to exclude (or -ex).""")
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entries = re.findall(r"\t *(\d+) ([^:]+) : (\d)( \[by.+\])?[\n\r]", f)
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entries = re.findall(r"\t *(\d+) ([^:]+) : (\d)( \[by.+\])?[\n\r]", f)
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assert len(entries) >= 1, "Could not find signal info in prsim.out!"
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assert len(entries) >= 1, "Could not find signal info in prsim.out!"
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# Check if user gave a colour specification
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colour_undefined = (255,0,0)
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colour_high = (252, 186, 3)
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colour_low = (20, 184, 186)
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for arg in argv:
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r = re.findall(r'-c=(.+)', arg)
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if len(r) >= 1:
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if r[0] == "michele":
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colour_undefined = (100,100,100)
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colour_high = (105, 204, 86)
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colour_low = (209, 86, 48)
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else:
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raise Exception("Unknown colour given. I cba to code up general colours atm.")
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# Check if user gave an include filter
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# Check if user gave an include filter
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include_given = False
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include_given = False
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include_re = None
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include_re = None
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@ -104,11 +119,9 @@ Use -exclude='regex' to specify signals to exclude (or -ex).""")
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# Plot
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# Plot
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colour_undefined = (255,0,0)
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# Generate figure
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colour_high = (252, 186, 3)
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# weird sizing is to try to keep "pixel" sizes approx const
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colour_low = (20, 184, 186)
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fig = plt.figure(figsize = (num_sigs/3+0.5,num_times/3+0.2), dpi = 100)
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fig = plt.figure(figsize = (num_sigs/3+4,num_times/3+4), dpi = 100)
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image = np.zeros((num_sigs, num_times, 3), dtype = int)
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image = np.zeros((num_sigs, num_times, 3), dtype = int)
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image[signals_matrix == 0] = colour_undefined
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image[signals_matrix == 0] = colour_undefined
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@ -159,6 +172,9 @@ Use -exclude='regex' to specify signals to exclude (or -ex).""")
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plt.arrow(t0, s1, 0, s0-s1 + 0.2*np.sign(s0-s1), head_width = 0, width = 0.2, ec = "none", lw = 0, fc = "black", length_includes_head = True)
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plt.arrow(t0, s1, 0, s0-s1 + 0.2*np.sign(s0-s1), head_width = 0, width = 0.2, ec = "none", lw = 0, fc = "black", length_includes_head = True)
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plt.scatter((t0),(s0), c = "black", s = 30)
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plt.scatter((t0),(s0), c = "black", s = 30)
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# Write times on x axis
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for time in unique_times:
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ax.text(time_to_index(time), num_sigs, time, ha = "center", va = "top", size = 10, rotation = 90)
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output_type = ".pdf"
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output_type = ".pdf"
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for arg in argv:
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for arg in argv:
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