import numpy as np
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import numpy.typing as npt
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a: npt.NDArray[np.float64]
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generator = (i for i in range(10))
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np.require(a, requirements=1) # type: ignore[call-overload]
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np.require(a, requirements="TEST") # type: ignore[arg-type]
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np.zeros("test") # type: ignore[arg-type]
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np.zeros() # type: ignore[call-overload]
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np.ones("test") # type: ignore[arg-type]
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np.ones() # type: ignore[call-overload]
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np.array(0, float, True) # type: ignore[call-overload]
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np.linspace(None, 'bob') # type: ignore[call-overload]
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np.linspace(0, 2, num=10.0) # type: ignore[call-overload]
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np.linspace(0, 2, endpoint='True') # type: ignore[call-overload]
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np.linspace(0, 2, retstep=b'False') # type: ignore[call-overload]
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np.linspace(0, 2, dtype=0) # type: ignore[call-overload]
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np.linspace(0, 2, axis=None) # type: ignore[call-overload]
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np.logspace(None, 'bob') # type: ignore[call-overload]
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np.logspace(0, 2, base=None) # type: ignore[call-overload]
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np.geomspace(None, 'bob') # type: ignore[call-overload]
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np.stack(generator) # type: ignore[call-overload]
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np.hstack({1, 2}) # type: ignore[call-overload]
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np.vstack(1) # type: ignore[call-overload]
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np.array([1], like=1) # type: ignore[call-overload]
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