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import pandas as pd | |
import matplotlib | |
matplotlib.use("Qt5Agg") | |
import matplotlib.pyplot as plt | |
import io | |
import numpy as np | |
import torch | |
from itertools import product | |
# random のシードを設定する |
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import numpy as np | |
import pandas as pd | |
from itertools import product | |
def is_not_join(i): | |
if i == "T": | |
ret = True | |
elif i == "F": | |
ret = False |
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import numpy as np | |
import pandas as pd | |
import matplotlib | |
matplotlib.use('Qt5Agg') | |
import matplotlib.pyplot as plt | |
data_points = np.array([[0,0],[0,1],[1,1],[1,0],[2,2],[2,3],[3,3],[3,2]]) | |
df = pd.DataFrame(data_points, columns=["x", "y"]) |
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import numpy as np | |
import pandas as pd | |
def is_not_join(i): | |
if i in ["A", "B", "C"]: | |
ret = True | |
else: | |
ret = False | |
return ret |
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import numpy as np | |
import pandas as pd | |
def is_not_join(i): | |
if i in ["A", "B", "C"]: | |
ret = True | |
else: | |
ret = False | |
return ret |
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import numpy as np | |
import pandas as pd | |
import time | |
DEBUG = False | |
class N(): | |
theta = 50 | |
theta_dot = 50 | |
tau = 10 |
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