compiled.py 14 KB

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  1. from modelverse_kernel.primitives import PrimitiveFinished
  2. import modelverse_jit.runtime as jit_runtime
  3. def reverseKeyLookup(a, b, **remainder):
  4. edges, = yield [("RO", [a])]
  5. expanded_edges = yield [("RE", [i]) for i in edges]
  6. for i, edge in enumerate(expanded_edges):
  7. if b == edge[1]:
  8. # Found our edge: edges[i]
  9. outgoing, = yield [("RO", [edges[i]])]
  10. result, = yield [("RE", [outgoing[0]])]
  11. raise PrimitiveFinished(result[1])
  12. result, = yield [("CNV", ["(unknown: %s)" % b])]
  13. raise PrimitiveFinished(result)
  14. """
  15. def read_attribute(a, b, c, **remainder):
  16. model_dict, b_val, c_val, type_mapping = \
  17. yield [("RD", [a, "model"]),
  18. ("RV", [b]),
  19. ("RV", [c]),
  20. ("RD", [a, "type_mapping"]),
  21. ]
  22. model_instance, = \
  23. yield [("RD", [model_dict, b_val])]
  24. edges, = yield [("RO", [model_instance])]
  25. edge_types = yield [("RDN", [type_mapping, i]) for i in edges]
  26. type_edge_val = yield [("RE", [i]) for i in edge_types]
  27. src_nodes = set([i[0] for i in type_edge_val])
  28. found_edges = yield [("RDE", [i, c_val]) for i in src_nodes]
  29. for e1 in found_edges:
  30. if e1 is not None:
  31. # Found an edge!
  32. for i, e2 in enumerate(edge_types):
  33. if e1 == e2:
  34. # The instance of this edge is the one we want!
  35. edge = edges[i]
  36. edge_val, = yield [("RE", [edge])]
  37. result = edge_val[1]
  38. raise PrimitiveFinished(result)
  39. else:
  40. result, = yield [("RR", [])]
  41. raise PrimitiveFinished(result)
  42. raise Exception("Error in reading edge!")
  43. """
  44. def set_copy(a, **remainder):
  45. b, = yield [("CN", [])]
  46. links, = yield [("RO", [a])]
  47. exp_links = yield [("RE", [i]) for i in links]
  48. _ = yield [("CE", [b, i[1]]) for i in exp_links]
  49. raise PrimitiveFinished(b)
  50. """
  51. def allInstances(a, b, **remainder):
  52. b_val, = yield [("RV", [b])]
  53. model_dict,= yield [("RD", [a, "model"])]
  54. metamodel, = yield [("RD", [a, "metamodel"])]
  55. m3, = yield [("RD", [metamodel, "metamodel"])]
  56. m3_model, = yield [("RD", [m3, "model"])]
  57. mm_dict, = yield [("RD", [metamodel, "model"])]
  58. typing, = yield [("RD", [a, "type_mapping"])]
  59. elem_keys, = yield [("RDK", [model_dict])]
  60. elems = yield [("RDN", [model_dict, i]) for i in elem_keys]
  61. mms = yield [("RDN", [typing, i]) for i in elems]
  62. # Have the type for each name
  63. types_to_name_nodes = {}
  64. for key, mm in zip(elem_keys, mms):
  65. types_to_name_nodes.setdefault(mm, set()).add(key)
  66. # And now we have the inverse mapping: for each type, we have the node containing the name
  67. # Get the inheritance link type
  68. inheritance_type, = yield [("RD", [m3_model, "Inheritance"])]
  69. # Now we figure out which types are valid for the specified model
  70. desired_types = set()
  71. mm_element, = yield [("RD", [mm_dict, b_val])]
  72. work_list = []
  73. work_list.append(mm_element)
  74. mm_typing, = yield [("RD", [metamodel, "type_mapping"])]
  75. while work_list:
  76. mm_element = work_list.pop()
  77. if mm_element in desired_types:
  78. # Already been here, so stop
  79. continue
  80. # New element, so continue
  81. desired_types.add(mm_element)
  82. # Follow all inheritance links that COME IN this node, as all these are subtypes and should also match
  83. incoming, = yield [("RI", [mm_element])]
  84. for i in incoming:
  85. t, = yield [("RDN", [mm_typing, i])]
  86. if t == inheritance_type:
  87. e, = yield [("RE", [i])]
  88. # Add the source of the inheritance link to the work list
  89. work_list.append(e[0])
  90. # Now desired_types holds all the direct types that we are interested in!
  91. # Construct the result out of all models that are direct instances of our specified type
  92. final = set()
  93. for t in desired_types:
  94. final |= types_to_name_nodes.get(t, set())
  95. # Result is a Python set with nodes, so just make this a Mv set
  96. result, = yield [("CN", [])]
  97. v = yield [("RV", [i]) for i in final]
  98. _ = yield [("CE", [result, i]) for i in final]
  99. raise PrimitiveFinished(result)
  100. """
  101. """
  102. def add_AL(a, b, **remainder):
  103. worklist = [(b, "funcdef")]
  104. added = set()
  105. type_cache = {}
  106. model_dict, = yield [("RD", [a, "model"])]
  107. metamodel, = yield [("RD", [a, "metamodel"])]
  108. metamodel_dict, = yield [("RD", [metamodel, "model"])]
  109. type_map, = yield [("RD", [a, "type_mapping"])]
  110. outgoing, = yield [("RO", [model_dict])]
  111. edges = yield [("RE", [i]) for i in outgoing]
  112. added |= set([i[1] for i in edges])
  113. result, = yield [("CNV", ["__%s" % b])]
  114. # All the action language elements and their expected output links
  115. type_links = {
  116. "if": [("cond", ""), ("then", ""), ("else", ""), ("next", "")],
  117. "while": [("cond", ""), ("body", ""), ("next", "")],
  118. "assign": [("var", ""), ("value", ""), ("next", "")],
  119. "break": [("while", "while")],
  120. "continue": [("while", "while")],
  121. "return": [("value", "")],
  122. "resolve": [("var", "")],
  123. "access": [("var", "")],
  124. "constant": [("node", "")],
  125. "output": [("node", ""), ("next", "")],
  126. "global": [("var", "String"), ("next", "")],
  127. "param": [("name", "String"), ("value", ""), ("next_param", "param")],
  128. "funcdef": [("body", ""), ("next", "")],
  129. "call": [("func", ""), ("params", "param"), ("last_param", "param"), ("next", "")],
  130. }
  131. # Already add some often used types to the type cache, so we don't have to check for their presence
  132. to_str, string = yield [("CNV", ["to_str"]),
  133. ("CNV", ["String"])]
  134. type_cache = {"to_str": to_str,
  135. "String": string}
  136. while worklist:
  137. # Fetch the element and see if we need to add it
  138. worknode, expected_type = worklist.pop(0)
  139. if worknode in added:
  140. continue
  141. # Determine type of element
  142. if expected_type == "":
  143. value, = yield [("RV", [worknode])]
  144. if (isinstance(value, dict)) and ("value" in value):
  145. v = value["value"]
  146. if v in ["if", "while", "assign", "call", "break", "continue", "return", "resolve", "access", "constant", "global", "declare"]:
  147. expected_type = v
  148. else:
  149. expected_type = "Any"
  150. else:
  151. expected_type = "Any"
  152. # Fill the cache
  153. if expected_type not in type_cache:
  154. type_cache[expected_type], = yield [("CNV", [expected_type])]
  155. # Need to add it now
  156. nodename = "__%s" % worknode
  157. yield [("CD", [model_dict, nodename, worknode])]
  158. added.add(worknode)
  159. _, = yield [("CD", [type_map, nodename, type_cache[expected_type]])]
  160. # Now add all its outgoing links, depending on the type we actually saw
  161. links = type_links.get(expected_type, [])
  162. for link in links:
  163. link_name, destination_type = link
  164. # Check if the link actually exists
  165. destination, = yield [("RD", [worknode, link_name])]
  166. if destination is not None:
  167. # If so, we add it and continue
  168. edge, = yield [("RDE", [worknode, link_name])]
  169. edge_outlinks, = yield [("RO", [edge])]
  170. edge_outlink = edge_outlinks[0]
  171. edge_name, = yield [("RE", [edge_outlink])]
  172. edge_name = edge_name[1]
  173. # Now add: edge, edge_outlink, edge_name
  174. # Add 'edge'
  175. edgename = "__%s" % edge
  176. yield [("CD", [model_dict, edgename, edge])]
  177. added.add(edge)
  178. link_type = "%s_%s" % (expected_type, link_name)
  179. if link_type not in type_cache:
  180. type_cache[link_type], = yield [("CNV", [link_type])]
  181. _, = yield [("CD", [type_map, edge_name, type_cache[link_type]])]
  182. # Add 'edge_outlink'
  183. edgename = "__%s" % edge_outlink
  184. yield [("CD", [model_dict, edgename, edge_outlink])]
  185. added.add(edge_outlink)
  186. _, = yield [("CD", [type_map, edgename, type_cache["to_str"]])]
  187. # Add 'edge_name' (if not present)
  188. if edge_name not in added:
  189. edgename = "__%s" % edge_name
  190. yield [("CD", [model_dict, edgename, edge_name])]
  191. _, = yield [("CD", [type_map, edgename, type_cache["String"]])]
  192. added.add(edge_name)
  193. # Add the destination to the worklist
  194. worklist.append((destination, destination_type))
  195. raise PrimitiveFinished(result)
  196. """
  197. """
  198. def get_superclasses(a, b, **remainder):
  199. mm, = yield [("RD", [a, "metamodel"])]
  200. mm, = yield [("RD", [mm, "metamodel"])]
  201. m, = yield [("RD", [mm, "model"])]
  202. inheritance, = yield [("RD", [m, "Inheritance"])]
  203. model_dict, = yield [("RD", [a, "model"])]
  204. b_v, = yield [("RV", [b])]
  205. subclass, = yield [("RD", [model_dict, b_v])]
  206. type_mapping, = yield [("RD", [a, "type_mapping"])]
  207. names, = yield [("RDK", [model_dict])]
  208. elems = yield [("RDN", [model_dict, i]) for i in names]
  209. elem_to_name = dict(zip(elems, names))
  210. result, = yield [("CN", [])]
  211. worklist = [subclass]
  212. touched = set()
  213. while worklist:
  214. subclass = worklist.pop()
  215. res = elem_to_name[subclass]
  216. if subclass not in touched:
  217. touched.add(subclass)
  218. yield [("CE", [result, res])]
  219. outgoing, = yield [("RO", [subclass])]
  220. types = yield [("RDN", [type_mapping, i]) for i in outgoing]
  221. for i, t in enumerate(types):
  222. if t == inheritance:
  223. # Found an inheritance link!
  224. elem = outgoing[i]
  225. srcdst, = yield [("RE", [elem])]
  226. src, dst = srcdst
  227. # Find elem in elems
  228. worklist.append(dst)
  229. if dst is None:
  230. print("Read edge gives error for edge: " + str(elem))
  231. raise PrimitiveFinished(result)
  232. """
  233. """
  234. def selectPossibleIncoming(a, b, c, **remainder):
  235. model_dict, = yield [("RD", [a, "model"])]
  236. limit_set_links, = \
  237. yield [("RO", [c])]
  238. limit_set = yield [("RE", [i]) for i in limit_set_links]
  239. limit_set_names = [i[1] for i in limit_set]
  240. name_values = yield [("RV", [i]) for i in limit_set_names]
  241. limit_set = yield [("RD", [model_dict, i]) for i in name_values]
  242. superclasses, = yield [("CALL_ARGS", [get_superclasses, (a, b)])]
  243. vals, = yield [("RO", [superclasses])]
  244. superclasses = yield [("RE", [i]) for i in vals]
  245. superclasses = [i[1] for i in superclasses]
  246. superclass_names = yield [("RV", [i]) for i in superclasses]
  247. elems = yield [("RD", [model_dict, i]) for i in superclass_names]
  248. result, = yield [("CN", [])]
  249. for i, edge in enumerate(limit_set):
  250. srcdst, = yield [("RE", [edge])]
  251. src, dst = srcdst
  252. if dst in elems:
  253. yield [("CE", [result, limit_set_names[i]])]
  254. raise PrimitiveFinished(result)
  255. """
  256. """
  257. def selectPossibleOutgoing(a, b, c, **remainder):
  258. model_dict, = yield [("RD", [a, "model"])]
  259. limit_set_links, = \
  260. yield [("RO", [c])]
  261. limit_set = yield [("RE", [i]) for i in limit_set_links]
  262. limit_set_names = \
  263. [i[1] for i in limit_set]
  264. name_values = yield [("RV", [i]) for i in limit_set_names]
  265. limit_set = yield [("RD", [model_dict, i]) for i in name_values]
  266. superclasses, = yield [("CALL_ARGS", [get_superclasses, (a, b)])]
  267. vals, = yield [("RO", [superclasses])]
  268. superclasses = yield [("RE", [i]) for i in vals]
  269. superclasses = [i[1] for i in superclasses]
  270. superclass_names = yield [("RV", [i]) for i in superclasses]
  271. elems = yield [("RD", [model_dict, i]) for i in superclass_names]
  272. result, = yield [("CN", [])]
  273. for i, edge in enumerate(limit_set):
  274. srcdst, = yield [("RE", [edge])]
  275. src, dst = srcdst
  276. if src in elems:
  277. yield [("CE", [result, limit_set_names[i]])]
  278. raise PrimitiveFinished(result)
  279. """
  280. def check_symbols(a, b, c, **remainder):
  281. symbols = {}
  282. function_name, = yield [("RV", [b])]
  283. symbols[function_name] = False
  284. object_links, = yield [("RO", [c])]
  285. set_elements = yield [("RE", [i]) for i in object_links]
  286. set_elements = [i[1] for i in set_elements]
  287. set_values = yield [("RV", [i]) for i in set_elements]
  288. set_elements = yield [("RD", [a, i]) for i in set_values]
  289. symbols_set = yield [("RD", [i, "symbols"]) for i in set_elements]
  290. all_keys = yield [("RDK", [i]) for i in symbols_set]
  291. for i, s in zip(all_keys, symbols_set):
  292. # For each object we have found
  293. keys = yield [("RV", [j]) for j in i]
  294. values = yield [("RD", [s, j]) for j in keys]
  295. values = yield [("RV", [j]) for j in values]
  296. for key, value in zip(keys, values):
  297. k = key
  298. v = value
  299. if v and symbols.get(k, False):
  300. result, = yield [("CNV", ["ERROR: multiple definition of symbol " + str(key)])]
  301. raise PrimitiveFinished(result)
  302. elif v and not symbols.get(k, False):
  303. symbols[k] = True
  304. elif not v and k not in symbols:
  305. symbols[k] = False
  306. for i, j in symbols.items():
  307. if i == "input" or i == "output":
  308. continue
  309. if not j:
  310. result, = yield [("CNV", ["ERROR: undefined symbol " + str(i)])]
  311. raise PrimitiveFinished(result)
  312. result, = yield [("CNV", ["OK"])]
  313. raise PrimitiveFinished(result)
  314. def construct_const(**remainder):
  315. v, = yield [("CNV", [{"value": "constant"}])]
  316. # Get input: keep trying until we get something
  317. inp, = yield [("CALL_KWARGS", [jit_runtime.get_input, remainder])]
  318. yield [("CD", [v, "node", inp])]
  319. raise PrimitiveFinished(v)
  320. def instantiated_name(a, b, **remainder):
  321. name_value, = yield [("RV", [b])]
  322. if name_value == "":
  323. b, = yield [("CNV", ["__" + str(a)])]
  324. raise PrimitiveFinished(b)