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 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 DoxyLimbo<Tp, N> &l); /// Returns the raw data for the limbo...
initialize(defn, view, prng) for _ in xrange(10)] q = ma.masked_array( np.array([(False,) * D], dtype=[('', bool)] * D), mask=[(False,) * (D / 2) + (True,) * (D / 2)]) statistic = query.posterior_predictive_statistic(q, latents, prng) assert_equals(statistic....
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...
* @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 DoxyLimbo<Tp, N> &l); ...
# 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) ...
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 ...
#27484: BUG: initialize the promotion state to be weak #27501: MAINT: Bump pypa/cibuildwheel from 2.20.0 to 2.21.2 #27506: BUG: avoid segfault on bad arguments in ndarray.__array_function__ Checksums MD5 4aae28b7919b126485c1aaccee37a6ba numpy-2.1.2-cp310-cp310-macosx_10_9_x86_...
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...
Arguments: X -- input data, numpy array of sentences as strings, of shape (m, 1) Y -- labels, numpy array of integers between 0 and 7, numpy-array of shape (m, 1) word_to_vec_map -- dictionary mapping every word in a vocabulary into its 50-dimensional vector representation ...