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https://gitlab.com/square-game-liberation-front/F.E.I.S.git
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49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
from dataclasses import dataclass
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import matplotlib.pyplot as plt
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@dataclass
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class BadSample:
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buffer: tuple[int, int]
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sample: tuple[int, int]
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deoverlapped_end: int
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next_sample: int | None
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@classmethod
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def from_dump(cls, dump: str):
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nums = [int(s.strip()) for s in dump.split(",")]
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if len(nums) == 5:
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return cls(
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buffer=(nums[0], nums[1]),
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sample=(nums[2], nums[3]),
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deoverlapped_end=nums[4],
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next_sample=None,
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)
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elif len(nums) == 6:
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return cls(
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buffer=(nums[0], nums[1]),
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sample=(nums[2], nums[3]),
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deoverlapped_end=nums[4],
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next_sample=nums[5],
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)
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else:
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raise ValueError("Couldn't parse dump")
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def show_bad_sample_plot(bad_sample: BadSample):
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fig, ax = plt.subplots()
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ax.broken_barh([(bad_sample.buffer[0], bad_sample.buffer[1] - bad_sample.buffer[0])], (9, 2), facecolors="tab:blue")
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ax.broken_barh([(bad_sample.sample[0], bad_sample.sample[1] - bad_sample.sample[0])], (7, 2), facecolors="tab:green")
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ax.broken_barh([(bad_sample.deoverlapped_end, 100)], (6.5, 1), facecolors="tab:red")
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if bad_sample.next_sample is not None:
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ax.broken_barh([(bad_sample.next_sample, 100)], (5, 2), facecolors="tab:orange")
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ax.set_ylim(4, 12)
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ax.set_xlabel("samples")
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ax.set_yticks([10, 8, 6], labels=["buffer", "sample", "next sample"])
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plt.show()
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if __name__ == "__main__":
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import sys
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bad_sample = BadSample.from_dump(" ".join(sys.argv[1:]))
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show_bad_sample_plot(bad_sample) |