test
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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 ...
3c27665677afdc42f48b33543c1a714f
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 ...
d6c3afe7058ab19ad0dfffcc3e3dedb5
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 ...
e447e095b756b7d6c3c83ee7695249f3
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 ...
834e019a1b6b4ec25f4ef2e8373703d8
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 ...
1f95ed07c8ebb0f27bc63543926d5201
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 ...
17c7e596897e38d33bbe9c7224696905
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 ...
9ad9fae944f17a08d1809614aaa9021f
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 ...
0e235f192932f6f8bd7fd92b399afa8d
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 ...
9afec3fca5d1d87cfd9ee9e2bf67e2dd
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 ...
913959edd2e8e19630387a90a0432134
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 ...
07e7d023802bbdc76e8401d5e3a7e76d
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 ...
7d8bd0016ecf407cbdc6656c32073c09
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 ...
1df0cfa09524e9cbac78d75a813f0cae
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 ...
25a1d20bce88ec114606878b6bea784b
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 ...
019b475b5fd28be139605da1a2c062ce
import math def _poly(xs: list, x: float): """ Evaluates polynomial with coefficients xs at point x. return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n """ return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)]) def check(candidate): inputs = [[[-10, -2]], [[-3, -6, -7, 7]]...
1da4701245cf7111377ad28b7ad6e548
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 ...
0945de5653b53c95879cdc6f02e13031
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 ...
1bc9a9a1ed975c1416b7766a1b75074c
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 ...
5ee554c92bbaed5470111b3b6741347b
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 ...
025c29e172d9633da5b60b4623120b51
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 ...
1b3c9fe666a2484331774ecdfbd46935
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 ...
468e4a6ca573a2017aa63e0c33a2e20d
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 ...
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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 ...
0817e370a6a5d37731c6550a88f34f2b
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 ...
57e02664c731d65d2a19d3160bf0062e
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 ...
097b47a246bab3686e4f9520dd799b60
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 ...
a16e406f4ad584e8a4becd91265310b6
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 ...
a9f35ebd2abe96c7e358e6360c748b81
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 ...
d46bc58ac49497e490df03750cbf2045
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 ...
30bcd79fd15cd88277fe93f613763dff
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 ...
2fa2d7514756023256e6395ea65558d0
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 ...
bf1fe5708c002e8ce1a75c95be678800