Exceptions that need an answer

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q >=0 / scipy
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confidence_level must be in the interval [0, 1]. / scipy
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Sample is out of bounds / scipy
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Array 'data' must be at most two dimensional, but got data.ndim = %d / scipy
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Argument num_rows must be a 0-D Tensor. Found: %s / tensorflow
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'q' must be scalar when axis=1 is specified / dask
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'df' must be greater than zero. / statsmodels
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lag must be an integer / dask
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Argument `strides` must not be None. / keras
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invalid kernel: '(param0)' / scikit-learn
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priors must be non-negative / scikit-learn
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efficiency must satisfy 0.0 < efficiency < 1.0 / scipy
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