WIP: DATA Représentation Dilemna: Client <vs> XML Initial commit
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src/glimpse.py
177
src/glimpse.py
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import model
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"""
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# from anytree import Node, AnyNode, NodeMixin, RenderTree, find_by_attr
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# from anytree.exporter import DotExporter from ete3 import Tree
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# https://stackoverflow.com/questions/51902250/
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# read-data-from-a-file-and-create-a-tree-using-anytree-in-python
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# https://www.delftstack.com/howto/python/trees-in-python/
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# https://python-gtk-3-tutorial.readthedocs.io/en/latest/treeview.html
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# https://anytree.readthedocs.io/en/latest/
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# TODO Contrôles de cohérence des données
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# 1) node_id <> pas de doublon
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# 2) pas de node sans un node_parent_id
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conditions_set = set()
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# TODO cnd.get_coord("y"),...
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for i in range(0, len(model.testmodel.get_conditions().get_conditions_array())):
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cnd = model.testmodel.get_conditions().get_condition(i)
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conditions_set.add((cnd.get_node_self_id(),
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cnd.get_node_parent_id(),
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cnd.get_coord("x"),
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cnd.get_site(),
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cnd.get_weight()))
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class TreeNode(object):
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# TODO self.y = y,...
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def __init__(self, id, parent, x, site, weight):
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self.id = id
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self.parent = parent
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self.ch = []
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self.x = x
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self.site = site
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self.weight = weight
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def id(self):
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return id
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def add_child(self, ch_id):
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self.ch.append(ch_id)
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self.ch = sorted(self.ch, key=id)
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lll = []
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for i in conditions_set: # sorted(conditions_set, key=id):
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cndt = TreeNode(i[0], i[1], i[2], i[3], i[4]) # TODO y,z,...
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lll.append(cndt)
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for i in lll:
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for j in lll:
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if (i.id == j.parent):
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i.add_child(j)
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print('\n', "conditions (node_id, parent_id, nb enfants, liste enfants)", '\n')
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dsp = ''
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for i in lll:
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dsp = str(i.id) + ' ' + str(i.parent) + ' n=' + str(len(i.ch)) + ' '
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if len(i.ch) > 0:
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for c in range(0, len(i.ch)):
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dsp += str(i.ch[c].id) + ', '
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print(dsp)
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##
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A = Node("A")
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A1 = Node("A1", parent=A)
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A2 = Node("A2", parent=A)
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A21 = Node("A21", parent=A2)
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root = Node([0])
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https://python-gtk-3-tutorial.readthedocs.io/en/latest/treeview.html
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A
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├── A1
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└── A2
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└── A21
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with open('input.txt', 'r') as f:
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lines = f.readlines()[1:]
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root = Node(lines[0].split(" ")[0])
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for line in lines:
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line = line.split(" ")
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Node("".join(line[1:]).strip(), parent=find_by_attr(root, line[0]))
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for pre, _, node in RenderTree(root):
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print("%s%s" % (pre, node.name))
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##
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print("\n*** Conditions tree ***")
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print(type(model.testmodel.get_conditions()))
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print("\n")
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print(model.testmodel.get_conditions().get_condition(0).get_coord('x'))
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print("\n")
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print()
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"""
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sp = model.testmodel.get_states().get_space(0)
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size = model.testmodel.get_parameters().spaceparam.get_dimension().get_x()
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sites = int(model.testmodel.get_parameters().spaceparam.get_site_multiplicity())
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nb_arrows = int(model.testmodel.get_states().get_space(0).get_nb_arrows())
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print("\n space size = ", size, " nb de sites par cellule = ", sites,
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" nb total de flèches dans l'espace = ", nb_arrows)
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print(' | ', end=' ')
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# TODO Contrôles de cohérence des données
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# condition et arrow
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# 1) weight < weight_max (à définir)
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# 2) arrow.site < site_multiplicity
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# 3) arrow.x < space-param.dimension.x (idem autres axes)
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# condition
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# 1) parent <= condition.node_id max value (donc deux lectures)
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# 2) pas de node sans un node_parent_id
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for n in range(0, size + 1):
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for s in range(0, sites):
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arr = 0
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for a in range(0, nb_arrows):
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if (
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sp.get_arrow(a).get_coord("x") == n
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and sp.get_arrow(a).get_site() == s
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):
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arr = sp.get_arrow(a).get_weight()
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if arr > 0:
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print(str(arr), end=' ')
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else:
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print('.', end=' ')
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print(' | ', end=' ')
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print('\n ' + ' ' * sites * 2, end='')
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for k in range(0, size + 1):
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if k < 9:
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print(k + 1, end=' ' + ' ' * sites * 2)
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else:
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print(k + 1, end=' ' + ' ' * sites * 2)
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print('\n', ' | ', end = "")
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for n in range(0, size + 1):
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for s in range(0, sites):
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arr = 0
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for a in range(0, nb_arrows):
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if (
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sp.get_arrow(a).get_coord("x") == n
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and sp.get_arrow(a).get_site() == s
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):
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arr = sp.get_arrow(a).get_weight()
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if arr > 0:
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print(str(arr), end=' ')
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else:
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print('.', end=' ')
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print(' | ', end=' ')
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print('\n\n', model.testmodel.get_space(0, 0, 0))
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@ -477,7 +477,3 @@ modelPath = "../models/dimers random walk.xml"
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schemaPath = "../schemas/models_0.2.1.xmls"
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testmodel = Model(modelPath, schemaPath)
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# print(testmodel.get_conditions().get_condition(0).get_weight())
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# TODO weight_max
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