original_docstring: 
          Find people nearby in a given x and y bound
  
          Parameters
          ----------
          person : np.ndarray
              Numpy array containing the population details
          x_bounds : list
              X bounds to look for other people in
          y_bounds : list
              Y bounds to look for other people in
  
          Returns
          -------
          list
              List of nearby people
          
docstring: Find people nearby in a given x and y bound
  Parameters
  
  person : np.ndarray
  Numpy array containing the population details
  x_bounds : list
  X bounds to look for other people in
  y_bounds : list
  Y bounds to look for other people in
  
  Returns
  
  list
  List of nearby people
docstring_tokens: Find people nearby in a given x and y bound Parameters person : np . ndarray Numpy array containing the population details x_bounds : list X bounds to look for other people in y_bounds : list Y bounds to look for other people in Returns list List of nearby people
code: def find_nearby(self, persons: np.ndarray, x_bounds: list,
                      y_bounds: list) -> list:
          """
          Find people nearby in a given x and y bound
  
          Parameters
          ----------
          person : np.ndarray
              Numpy array containing the population details
          x_bounds : list
              X bounds to look for other people in
          y_bounds : list
              Y bounds to look for other people in
  
          Returns
          -------
          list
              List of nearby people
          """
  
          rows = persons[:, 0][(x_bounds[0] < persons[:, index.x_axis]) &
                               (x_bounds[1] > persons[:, index.x_axis]) &
                               (y_bounds[0] < persons[:, index.y_axis]) &
                               (y_bounds[1] > persons[:, index.y_axis]) &
                               (persons[:, index.current_state] == 0) &
                               (persons[:, index.current_state] == 0) &
                               (persons[:, index.social_distance] == 0)]
          return rows
code_tokens: def find_nearby ( self , persons : np . ndarray , x_bounds : list , y_bounds : list ) -> list : rows = persons [ : , 0 ] [ ( x_bounds [ 0 ] < persons [ : , index . x_axis ] ) & ( x_bounds [ 1 ] > persons [ : , index . x_axis ] ) & ( y_bounds [ 0 ] < persons [ : , index . y_axis ] ) & ( y_bounds [ 1 ] > persons [ : , index . y_axis ] ) & ( persons [ : , index . current_state ] == 0 ) & ( persons [ : , index . current_state ] == 0 ) & ( persons [ : , index . social_distance ] == 0 ) ] return rows
short_docstring: Find people nearby in a given x and y bound
  Parameters
short_docstring_tokens: Find people nearby in a given x and y bound Parameters
comment: """
          Find people nearby in a given x and y bound
  
          Parameters
          ----------
          person : np.ndarray
              Numpy array containing the population details
          x_bounds : list
              X bounds to look for other people in
          y_bounds : list
              Y bounds to look for other people in
  
          Returns
          -------
          list
              List of nearby people
          """