Parser

class numpy::Parser

numpy C++ class.

Example

#include <numpy/np_ndarray.h>
using namespace numpy;

// Use Parser
Parser obj;
// ... operations ...

Math Operations

Signature	Return Type	Location	Example
void expect(TokenType type, const std::string& msg)	void	df_query.h:321
expect(TokenType::RPAREN, "Expected ')' after expression")		df_query.h:379

Other Methods

Signature	Return Type	Location	Example
void advance()	void	df_query.h:313
Token& current()	Token&	df_query.h:304
bool match(TokenType type)	bool	df_query.h:317	View
Token& peek(size_t ahead = 1)	Token&	df_query.h:308
explicit Parser(std::vector<Token> tokens) : tokens\_(std::move(tokens))	explicit Parser(std::vector<Token> tokens) :	df_query.h:422

Code Examples

The following examples are extracted from the test suite.

match (np_test_2_all.cpp:3450)

      auto duration_naive = std::chrono::duration_cast<std::chrono::microseconds>(end_naive - start_naive);

      // std::cout << "MKL DGEMM time: " << duration_mkl.count() << " microseconds" << std::endl;
      // std::cout << "Naive multiplication time: " << duration_naive.count() << " microseconds" << std::endl;

      if (duration_mkl.count() > 0) {
        double speedup = (double)duration_naive.count() / duration_mkl.count();
        // std::cout << "MKL speedup: " << std::fixed << std::setprecision(2) << speedup << "x" << std::endl;
      }

      // Verify results match (check a few elements)
      bool results_match = true;
      double tolerance = 1e-10;
      for (int i = 0; i < std::min(10, size); i++) {
        if (std::abs(C_mkl[i] - C_naive[i]) > tolerance) {
          results_match = false;
          break;
        }
      }

      if (results_match) {