class Benchmark:
    def __init__(num_segments):
        self.num_segments = num_segments
        
    def set_up(self):
        num_segments = int(1e4) #Per cell
        num_vertices = num_segments + 1

        x = np.linspace(0,10,num_vertices)
        y = np.zeros(num_vertices)
        z = np.zeros(num_vertices)
        d = np.linspace(1,0.01,num_vertices)

        vertices = np.array([x,y,z,d]).T
        
        connectivity = range(-1,num_segments)

        big_arraymorph = am.ArrayMorphology(vertices = vertices,
                                            connectivity = connectivity)
        transposed_x = x+10
        transposed_vertices = np.array([transposed_x,y,z,d]).T

        transposed_arraymorph = am.ArrayMorphology(vertices = transposed_vertices,
                                                   connectivity = connectivity)

        bigger_d = d + 0.5
        fatter_vertices = np.array([x,y,z,bigger_d]).T

        fatter_arraymorph = am.ArrayMorphology(vertices = fatter_vertices,
                                               connectivity = connectivity)

        neuroml_cell = neuroml.Cell(id='cell_4')
        neuroml_morphology = neuroml.Morphology(id = 'my_morph')
        neuroml_cell.morphology = neuroml_morphology

        self.transposed_arraymorph = transposed_arraymorph
        self.fatter_arraymorph = fatter_arraymorph
        self.big_arraymorph = big_arraymorph

        self.cell_1 = neuroml.Cell(id='cell_1')
        self.cell_2 = neuroml.Cell(id='cell_2')
        self.cell_3 = neuroml.Cell(id='cell_3')
        
        self.cell_1.morphology = transposed_arraymorph
        self.cell_2.morphology = fatter_arraymorph
        self.cell_3.morphology = big_arraymorph
        
        self.test_doc = neuroml.NeuroMLDocument(id='TestDocument')

        self.test_doc.cells.append(self.cell_1)
        self.test_doc.cells.append(self.cell_2)
        self.test_doc.cells.append(self.cell_3)
        self.test_doc.cells.append(neuroml_cell)        


import numpy as np
import neuroml
import neuroml.arraymorph as am


class Benchmark:
    def __init__(self, num_segments):
        self.num_segments = num_segments
        
    def set_up(self):
        num_segments = int(1e4) #Per cell
        num_vertices = num_segments + 1

        x = np.linspace(0,10,num_vertices)
        y = np.zeros(num_vertices)
        z = np.zeros(num_vertices)
        d = np.linspace(1,0.01,num_vertices)

        vertices = np.array([x,y,z,d]).T
        
        connectivity = range(-1,num_segments)

        big_arraymorph = am.ArrayMorphology(vertices = vertices,
                                            connectivity = connectivity)
        transposed_x = x+10
        transposed_vertices = np.array([transposed_x,y,z,d]).T

        transposed_arraymorph = am.ArrayMorphology(vertices = transposed_vertices,
                                                   connectivity = connectivity)

        bigger_d = d + 0.5
        fatter_vertices = np.array([x,y,z,bigger_d]).T

        fatter_arraymorph = am.ArrayMorphology(vertices = fatter_vertices,
                                               connectivity = connectivity)

        neuroml_cell = neuroml.Cell(id='cell_4')
        neuroml_morphology = neuroml.Morphology(id = 'my_morph')
        neuroml_cell.morphology = neuroml_morphology

        self.transposed_arraymorph = transposed_arraymorph
        self.fatter_arraymorph = fatter_arraymorph
        self.big_arraymorph = big_arraymorph

        self.cell_1 = neuroml.Cell(id='cell_1')
        self.cell_2 = neuroml.Cell(id='cell_2')
        self.cell_3 = neuroml.Cell(id='cell_3')
        
        self.cell_1.morphology = transposed_arraymorph
        self.cell_2.morphology = fatter_arraymorph
        self.cell_3.morphology = big_arraymorph
        
        self.test_doc = neuroml.NeuroMLDocument(id='TestDocument')

        self.test_doc.cells.append(self.cell_1)
        self.test_doc.cells.append(self.cell_2)
        self.test_doc.cells.append(self.cell_3)
        self.test_doc.cells.append(neuroml_cell)        


include necessary imports