* @param N Number of elements. */ template<typename Tp, std::size_t N> class DoxyLimbo { public: /// Default constructor. Initialize nothing. DoxyLimbo(); /// Set Default behavior for copy the limbo. DoxyLimbo(
Parameters --- words : list or tuple of strings The initial sequence of words N : int The gram-size of the language model to use to generate completions Returns --- probs : list of (word, log_prob) tuples The list of possible next words and their log probabilities under the `N`-g...
PyObject* create_np_array(const std::vector<std::string> vals, size_t itemsize){ //1. step allocate memory size_t mem_size = vals.size()*itemsize; void * mem = PyDataMem_NEW(mem_size); //ToDo: check mem!=nullptr //ToDo: make code exception safe //2. step initialize memory/...
* @param Tp Type of the integer. Required to be an integer type. * @param N Number of elements. */ template<typename Tp, std::size_t N> class DoxyLimbo { public: /// Default constructor. Initialize nothing. DoxyLimbo(); /// Set Default behavior for copy the limbo. DoxyLimbo(const...
浏览完整代码 来源:test__data_bytes_to_shaped_array.py 项目:SciTools/iris示例10def getZmv(a,mv): """ Helper for stdDat Arguments: * a: array of strings with the input data * mv: string for missing values (e.g. 'x') Returns: * z: standardized masked array """ mascara=N.zeros(...
# Quick examples of converting list to numpy arrays import numpy as np # Initialize the list mylist = [2, 4, 6, 8, 10] # Example 1: Convert python list to Numpy array # Using numpy.array() method arr = np.array(mylist)
minibatch of `n_ex` examples. retain_derived : bool Whether to retain the variables calculated during the forward pass for use later during backprop. If False, this suggests the layer will not be expected to backprop through wrt. this input. Default ...
# Initialize our Array with Strings # The String Type is denoted by the quotes "" initialArray = ["1.1", "2.2", "3.3", "4.4"] # Convert initial Array to NumPy Array # Use the array() function sampleArray = np.array(initialArray) ...
How to make an “Empty” NumPy array What people often mean when they say that they are creating “empty” arrays is that they want to make use of initial placeholders, which you can fill up afterward. You can initialize arrays with ones or zeros, but you can also create arrays that ge...
PRNGs require a seed number to initialize their number generation. PRNGs that use the same seed will generate the same numbers. PRNGs also have a period property, which is the number of iterations they go through before they start repeating. Because the generated numbers depend on the seed, ...