test
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502k
hash
stringlengths
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
53235e5066725c88c409de1a13319958
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
1b9dd6431aa75435f0d2965dbb8155f4
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
9e7aa41e17961afcd44e95c71d7eb62a
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
1f81600e651f1a93bbec0d598d362a4a
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
3b904d548d2aa0786f41b6143231abb3
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
1cbfcaed44e6961e02baa88d52f65db5
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
34e1e27381887d667ceffd04df69a37c
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
259cb29109c9bd26b7ead89008ee5e04
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
49dd758109835ecad0e155ba1e47dd55
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
2c0daca7d861d0d6f5d4fa4a4feb1d63
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
3de129cb01da38ca42e94ad0febee98a
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
9aa08e97d9b9a2edf0a1c2a16f6a0d16
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
89f26c25d78239881f1b48cdaf4e3f24
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
f12e455df7f386bc0b45f8b97ca32e25
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
b78fbb43084d5c9cdaa3902040a4372b
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
61ddefba04347fd3083a855d07082684
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
0f6fe14d0bea211a3e217fb452158624
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
7f03e139b369dbbdbbac0f26d482de2e
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
30487f32fb67ded2b16d7ae5fc0c1d38
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
d652533e5463a14e0d3cd789741ab91d
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
37fed5e2b578690d7acd34170a275abe
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
2a30673750ebf0bedaff3398a82900ec
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
98627808d687c0b6506bd3fc56c8f804
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
819876c9c75f5758428382514a74cc56
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
91c232eeacdbf9a8f3d438cdcf5d3fb5
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
9a8384e141c3907b9a6099944ddefaac
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
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import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
952856313ccd08524fcc2060b60c5c9c
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
cc106600e04219968813d10cb61b0ae8
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
1bacf7843e743e0e332f2f407fa81bef
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
e021b0091b6193dcaa7214e4ffe2e23f
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
31746ada9da6641850049b5b5d9d62a1
import numpy as np def is_floats(x) -> bool: # check if it is float; List[float]; Tuple[float] if isinstance(x, float): return True if isinstance(x, (list, tuple)): return all(isinstance(i, float) for i in x) if isinstance(x, np.ndarray): return x.dtype == np.float64 or x.dtype ...
91146bf4bc3863e5001d4a08656a56ce