original_docstring: 
      Returns the reconstructed data vector from the blurrred mapping matrix `f` and solution vector *S*.
  
      Parameters
      -----------
      transformed_mapping_matrix
          The matrix representing the blurred mappings between sub-grid pixels and pixelization pixels.
  
      
docstring: Returns the reconstructed data vector from the blurrred mapping matrix `f` and solution vector *S*.
  Parameters
  
  transformed_mapping_matrix
  The matrix representing the blurred mappings between sub-grid pixels and pixelization pixels.
docstring_tokens: Returns the reconstructed data vector from the blurrred mapping matrix ` f ` and solution vector * S * . Parameters transformed_mapping_matrix The matrix representing the blurred mappings between sub - grid pixels and pixelization pixels .
code: def mapped_reconstructed_visibilities_from(
      transformed_mapping_matrix: np.ndarray, reconstruction: np.ndarray
  ) -> np.ndarray:
      """
      Returns the reconstructed data vector from the blurrred mapping matrix `f` and solution vector *S*.
  
      Parameters
      -----------
      transformed_mapping_matrix
          The matrix representing the blurred mappings between sub-grid pixels and pixelization pixels.
  
      """
      mapped_reconstructed_visibilities = (0.0 + 0.0j) * np.zeros(
          transformed_mapping_matrix.shape[0]
      )
  
      transformed_mapping_matrix_real = transformed_mapping_matrix.real
      transformed_mapping_matrix_imag = transformed_mapping_matrix.imag
  
      for i in range(transformed_mapping_matrix.shape[0]):
          for j in range(reconstruction.shape[0]):
              mapped_reconstructed_visibilities[i] += (
                  reconstruction[j] * transformed_mapping_matrix_real[i, j]
              ) + 1.0j * (reconstruction[j] * transformed_mapping_matrix_imag[i, j])
  
      return mapped_reconstructed_visibilities
code_tokens: def mapped_reconstructed_visibilities_from ( transformed_mapping_matrix : np . ndarray , reconstruction : np . ndarray ) -> np . ndarray : mapped_reconstructed_visibilities = ( 0.0 + 0.0j ) * np . zeros ( transformed_mapping_matrix . shape [ 0 ] ) transformed_mapping_matrix_real = transformed_mapping_matrix . real transformed_mapping_matrix_imag = transformed_mapping_matrix . imag for i in range ( transformed_mapping_matrix . shape [ 0 ] ) : for j in range ( reconstruction . shape [ 0 ] ) : mapped_reconstructed_visibilities [ i ] += ( reconstruction [ j ] * transformed_mapping_matrix_real [ i , j ] ) + 1.0j * ( reconstruction [ j ] * transformed_mapping_matrix_imag [ i , j ] ) return mapped_reconstructed_visibilities
short_docstring: Returns the reconstructed data vector from the blurrred mapping matrix `f` and solution vector *S*.
short_docstring_tokens: Returns the reconstructed data vector from the blurrred mapping matrix ` f ` and solution vector * S * .
comment: """
      Returns the reconstructed data vector from the blurrred mapping matrix `f` and solution vector *S*.
  
      Parameters
      -----------
      transformed_mapping_matrix
          The matrix representing the blurred mappings between sub-grid pixels and pixelization pixels.
  
      """