BVh:dZddlZd dZd dZd dZd dddddZy) z.Functions for NumPy 1.x vs. 2.x compatibility.Nc|Ktj|tjr'tj|||j |Stj||||S)uCreates a NumPy array containing input values. It will make a copy of the object. In NumPy 2.x and later, strict type casting can lead to errors when values overflow the specified dtype. This function addresses this by replacing direct np.array(..., dtype=...) calls with np.array(...).astype(...). This allows for intended overflows, aligning with the behavior of older NumPy versions. Args: values: Array_like objects. E.g., a python list, tuple, or an object whose __array__ method returns an array. dtype: The desired numpy data type for the array. copy: Bool. If True (default), then the array data is copied. If None, a copy will only be made if __array__ returns a copy, if obj is a nested sequence, or if a copy is needed to satisfy any of the other requirements (dtype, order, etc.). Note that any copy of the data is shallow, i.e., for arrays with object dtype, the new array will point to the same objects. For False it raises a ValueError if a copy cannot be avoided. order: {‘K’, ‘A’, ‘C’, ‘F’}. Returns: A NumPy array with the specified data type. )copyorder)dtyperr)np issubdtypenumberarrayastype)valuesrrrs S/home/dcms/DCMS/lib/python3.12/site-packages/tensorflow/python/util/numpy_compat.pynp_arrayrsN2 2== : 88FU 3 : :5 AA 88F%d% @@cbtjjtjdk\rh|Mtj|tj r)tj |||j||Stj ||||Stj |||S)uConverts input values to a NumPy array. It will not make a copy. In NumPy 2.x and later, strict type casting can lead to errors when values overflow the specified dtype. This function addresses this by replacing direct np.array(..., dtype=...) calls with np.array(...).astype(...). This allows for intended overflows, aligning with the behavior of older NumPy versions. Args: values: Array_like objects. E.g., a python list, tuple, or an object whose __array__ method returns an array. dtype: The desired numpy data type for the array. order: {‘C’, ‘F’, ‘A’, ‘K’}. copy: bool. If True, then the object is copied. If None then the object is copied only if needed, i.e. if __array__ returns a copy, if obj is a nested sequence, or if a copy is needed to satisfy any of the other requirements (dtype, order, etc.). For False it raises a ValueError if a copy cannot be avoided. Returns: A NumPy array with the specified data type. z 2.0.0.dev0rr)r)rrr)rr)rlib NumpyVersion __version__rr asarrayr )r rrrs r np_asarrayr4s0VV(L8 R]]5"))< ZZe$ 7 > >u4 > PP ZZe5t DD ::fE 77rc.|}|{tjjtjdk\r6tjtj |j Stj|Stj|||S)amReturn elements chosen from x or y depending on condition. When only condition is provided, np.where(condition) is a shorthand for np.asarray(condition).nonzero(). See https://numpy.org/doc/stable/reference/generated/numpy.where.html. NumPy 2.1.0rc0 disallows 0D input arrays in nonzero, so np.atleast_1d is used here to remain compatible with NumPy 1.x. See https://github.com/numpy/numpy/pull/26268. Args: condition: Array_like, bool. Where True, yield x, otherwise yield y. x: Array_like. Values from which to choose. x, y and condition need to be broadcastable to some shape. y: Array_like. Values from which to choose. x, y and condition need to be broadcastable to some shape. Returns: An array with elements from x where condition is True, and elements from y elsewhere. Or the indices of the elements that are non-zero. 2.1.0.rc0)rrrr atleast_1drnonzerowhere) conditionxys r np_whererUsk*Y19 vv2>>*k9 ]]2::i0 1 9 9 ;; 88I  )Q ""rC)newshaperrc||}tjjtjdk\r5||tj|||Stj ||||Stj |||S)uReshapes an array without changing its data. NumPy 2.1.0rc1 added shape and copy arguments to numpy.reshape. See https://github.com/numpy/numpy/pull/26292. Both newshape and shape keywords are supported, but newshape is going to be deprecated. Use `shape` instead. Besides, shape cannot be None now. See https://github.com/numpy/numpy/blob/v2.1.0rc1/numpy/_core/fromnumeric.py#L309. Previously, np.reshape with newshape=None returned a copy. To maintain this behavior, we now use asarray to create an ndarray. Args: a: Array_like. Array to be reshaped. shape: The new shape of the array. newshape: The new shape of the array (deprecated). order: {‘C’, ‘F’, ‘K’}. copy: bool. If True, then the array data is copied. If None, a copy will only be made if it’s required by order. For False it raises a ValueError if a copy cannot be avoided. Returns: This will be a new view object if possible; otherwise, it will be a copy. rr)r)rrrrrreshape)ashaper!rrs r np_reshaper&qsn0 ] EVV(K7 }) ZZT 22 ::ae$ 77 AuE **r)NTK)NNN)NN)N)__doc__numpyrrrrr&rr r+s. 5A>8B#8+T4+r