Update visualization codes
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@ -24,6 +24,7 @@ if str(lib_dir) not in sys.path:
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sys.path.insert(0, str(lib_dir))
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sys.path.insert(0, str(lib_dir))
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from datasets.synthetic_core import get_synthetic_env
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from datasets.synthetic_example import create_example_v1
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from datasets.synthetic_example import create_example_v1
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from utils.temp_sync import optimize_fn, evaluate_fn
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from utils.temp_sync import optimize_fn, evaluate_fn
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@ -169,6 +170,52 @@ def compare_cl(save_dir):
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os.system("{:} -pix_fmt yuv420p {xdir}/vis.webm".format(base_cmd, xdir=save_dir))
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os.system("{:} -pix_fmt yuv420p {xdir}/vis.webm".format(base_cmd, xdir=save_dir))
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def visualize_env(save_dir):
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save_dir = Path(str(save_dir))
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save_dir.mkdir(parents=True, exist_ok=True)
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dynamic_env = get_synthetic_env()
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min_t, max_t = dynamic_env.min_timestamp, dynamic_env.max_timestamp
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for idx, (timestamp, (allx, ally)) in enumerate(tqdm(dynamic_env, ncols=50)):
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dpi, width, height = 30, 1800, 1400
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figsize = width / float(dpi), height / float(dpi)
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LabelSize, LegendFontsize, font_gap = 80, 80, 5
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fig = plt.figure(figsize=figsize)
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cur_ax = fig.add_subplot(1, 1, 1)
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allx, ally = allx[:, 0].numpy(), ally[:, 0].numpy()
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cur_ax.scatter(
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allx,
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ally,
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color="k",
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linestyle="-",
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alpha=0.99,
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s=10,
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label="timestamp={:05d}".format(idx),
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)
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cur_ax.set_xlabel("X", fontsize=LabelSize)
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cur_ax.set_ylabel("Y", rotation=0, fontsize=LabelSize)
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for tick in cur_ax.xaxis.get_major_ticks():
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tick.label.set_fontsize(LabelSize - font_gap)
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tick.label.set_rotation(10)
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for tick in cur_ax.yaxis.get_major_ticks():
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tick.label.set_fontsize(LabelSize - font_gap)
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cur_ax.set_xlim(-10, 10)
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cur_ax.set_ylim(-60, 60)
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cur_ax.legend(loc=1, fontsize=LegendFontsize)
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save_path = save_dir / "{:05d}".format(idx)
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fig.savefig(str(save_path) + ".pdf", dpi=dpi, bbox_inches="tight", format="pdf")
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fig.savefig(str(save_path) + ".png", dpi=dpi, bbox_inches="tight", format="png")
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plt.close("all")
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save_dir = save_dir.resolve()
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base_cmd = "ffmpeg -y -i {xdir}/%05d.png -vf scale=1800:1400 -pix_fmt yuv420p -vb 5000k".format(
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xdir=save_dir
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)
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os.system("{:} {xdir}/env.mp4".format(base_cmd, xdir=save_dir))
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os.system("{:} {xdir}/vis.webm".format(base_cmd, xdir=save_dir))
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if __name__ == "__main__":
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if __name__ == "__main__":
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parser = argparse.ArgumentParser("Visualize synthetic data.")
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parser = argparse.ArgumentParser("Visualize synthetic data.")
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@ -180,4 +227,5 @@ if __name__ == "__main__":
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)
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)
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args = parser.parse_args()
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args = parser.parse_args()
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visualize_env(os.path.join(args.save_dir, "vis-env"))
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compare_cl(os.path.join(args.save_dir, "compare-cl"))
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compare_cl(os.path.join(args.save_dir, "compare-cl"))
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29
lib/datasets/synthetic_core.py
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29
lib/datasets/synthetic_core.py
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@ -0,0 +1,29 @@
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import copy
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from .synthetic_env import SyntheticDEnv
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from .math_dynamic_funcs import DynamicQuadraticFunc
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from .math_adv_funcs import ConstantFunc, ComposedSinFunc
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def get_synthetic_env(total_timestamp=1000, num_per_task=1000, mode=None):
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mean_generator = ComposedSinFunc()
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std_generator = ComposedSinFunc(min_amplitude=0.5, max_amplitude=1.5)
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dynamic_env = SyntheticDEnv(
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[mean_generator],
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[[std_generator]],
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num_per_task=num_per_task,
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timestamp_config=dict(
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min_timestamp=-0.5, max_timestamp=1.5, num=total_timestamp, mode=mode
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),
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)
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function = DynamicQuadraticFunc()
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function_param = dict()
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function_param[0] = ComposedSinFunc(
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num_sin_phase=4, phase_shift=1.0, max_amplitude=1.0
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)
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function_param[1] = ConstantFunc(constant=0.9)
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function_param[2] = ComposedSinFunc(
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num_sin_phase=5, phase_shift=0.4, max_amplitude=0.9
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)
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function.set(function_param)
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dynamic_env.set_oracle_map(copy.deepcopy(function))
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return dynamic_env
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@ -43,6 +43,14 @@ class SyntheticDEnv(data.Dataset):
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self._oracle_map = None
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self._oracle_map = None
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@property
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def min_timestamp(self):
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return self._timestamp_generator.min_timestamp
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@property
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def max_timestamp(self):
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return self._timestamp_generator.max_timestamp
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def set_oracle_map(self, functor):
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def set_oracle_map(self, functor):
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self._oracle_map = functor
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self._oracle_map = functor
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@ -61,7 +69,7 @@ class SyntheticDEnv(data.Dataset):
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index, timestamp = self._timestamp_generator[index]
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index, timestamp = self._timestamp_generator[index]
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mean_list = [functor(timestamp) for functor in self._mean_functors]
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mean_list = [functor(timestamp) for functor in self._mean_functors]
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cov_matrix = [
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cov_matrix = [
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[cov_gen(timestamp) for cov_gen in cov_functor]
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[abs(cov_gen(timestamp)) for cov_gen in cov_functor]
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for cov_functor in self._cov_functors
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for cov_functor in self._cov_functors
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]
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]
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@ -53,6 +53,14 @@ class TimeStamp(UnifiedSplit, data.Dataset):
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self._total_num = num
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self._total_num = num
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UnifiedSplit.__init__(self, self._total_num, mode)
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UnifiedSplit.__init__(self, self._total_num, mode)
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@property
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def min_timestamp(self):
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return self._min_timestamp
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@property
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def max_timestamp(self):
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return self._max_timestamp
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def __iter__(self):
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def __iter__(self):
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self._iter_num = 0
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self._iter_num = 0
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return self
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return self
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