refactored 2
This commit is contained in:
Joshua E. Jodesty
parent
c19226246a
commit
6fd6dbe251
178
CAD_Engine.ipynb
178
CAD_Engine.ipynb
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@ -21,7 +21,17 @@
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": []
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"source": [
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"def last_index(l):\n",
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" return len(l)-1\n",
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"def retrieve_state(l, offset):\n",
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" return l[last_index(l) + offset + 1]\n",
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"def bound_norm_random(low, high):\n",
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" res = np.random.normal((high+low)/2,(high-low)/6)\n",
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" if (res<low or res>high):\n",
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" res = bound_norm_random(low, high)\n",
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" return res"
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]
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},
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{
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"cell_type": "code",
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@ -42,7 +52,8 @@
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"outputs": [],
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"source": [
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"# ToDo:\n",
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"# Handle case where Mechanisms have no input. Perhaps the sentinel value of 0"
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"# Handle case where Mechanisms have no input. Perhaps the sentinel value of 0\n",
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"# Mock Simulation SimCADUI Lucid chart "
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]
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},
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{
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@ -51,32 +62,52 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"# UI Behavior Mechanisms per Mechanism\n",
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"def b1m1(s):\n",
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"# UI Behaviors per Mechanism\n",
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"def b1m1(step, sL, s):\n",
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" return s['s1']\n",
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"def b2m1(s):\n",
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"def b2m1(step, sL, s):\n",
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" return s['s1'] * s['s2']\n",
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"\n",
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"def b1m2(s):\n",
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"def b1m2(step, sL, s):\n",
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" return s['s1']\n",
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"def b2m2(s):\n",
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"def b2m2(step, sL, s):\n",
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" return s['s1'] / s['s2']\n",
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"\n",
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"# UI State Mechanisms per Mechanism\n",
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"def s1m1(s, _input):\n",
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"def b1m3(step, sL, s):\n",
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" return s['s1']\n",
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"def b2m3(step, sL, s):\n",
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" ps = retrieve_state(sL, -3)\n",
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" return ps['s2']\n",
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"\n",
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"# UI States per Mechanism\n",
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"def s1m1(step, sL, s, _input):\n",
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" s['s1'] = s['s1']**2 + _input\n",
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"def s2m1(s, _input):\n",
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" s['s2'] = s['s2'] + 1 + _input \n",
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"def s3m1(s, _input):\n",
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"def s2m1(step, sL, s, _input):\n",
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" s['s2'] = s['s2'] + 1 + _input\n",
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"\n",
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"\n",
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"def s3m1(step, sL, s, _input):\n",
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" s['s3'] = s['s3']\n",
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"\n",
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"def s1m2(s, _input):\n",
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"def s1m2(step, sL, s, _input):\n",
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" s['s1'] = s['s1'] + _input\n",
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"def s2m2(s, _input):\n",
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"def s2m2(step, sL, s, _input):\n",
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" s['s2'] = s['s2']\n",
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"def s3m2(s, _input):\n",
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" \n",
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"def s3m2(step, sL, s, _input):\n",
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" s['s3'] = s['s3'] + 1\n",
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" \n",
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"def s1m3(step, sL, s, _input):\n",
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" s['s1'] = s['s1']\n",
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"def s2m3(step, sL, s, _input):\n",
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" s['s2'] = s['s2'] + _input\n",
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" \n",
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"state_dict = {\n",
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" 's1': 2,\n",
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" 's2': 4,\n",
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" 's3': 300\n",
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"}\n",
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" \n",
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"j = {\n",
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" \"m1\": {\n",
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" \"behaviors\": {\n",
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@ -99,6 +130,16 @@
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" \"s2\": s2m2,\n",
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" \"s3\": s3m2\n",
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" }\n",
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" },\n",
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" \"m3\": {\n",
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" \"behaviors\": {\n",
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" \"b1\": b1m3,\n",
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" \"b2\": b2m3\n",
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" },\n",
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" \"states\": {\n",
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" \"s1\": s1m3,\n",
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" \"s2\": s2m3\n",
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" }\n",
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" }\n",
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"}"
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]
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@ -120,28 +161,41 @@
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" )\n",
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" )\n",
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"\n",
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"def getColResults(s, funcs):\n",
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" return list(map(lambda f: f(s), funcs))\n",
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"# partials = list(map(lambda f: partial(f, step, sL), funcs))\n",
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"def getColResults(step, sL, s, funcs):\n",
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" return list(map(lambda f: f(step, sL, s), funcs))\n",
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"\n",
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"def getBehaviorInput(s, funcs): \n",
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" return op.foldr(_ + _)(getColResults(s, funcs))\n",
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"def getBehaviorInput(step, sL, s, funcs): \n",
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" return op.foldr(_ + _)(getColResults(step, sL, s, funcs))\n",
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"\n",
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"def mech_step(sL, state_funcs, behavior_funcs):\n",
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" in_copy, out_copy, mutatable_copy = deepcopy(sL), deepcopy(sL), deepcopy(sL)\n",
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"def mech_step(step, sL, state_funcs, behavior_funcs):\n",
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" # Purge Memory accociated with certain objs\n",
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" # Truncate reffs\n",
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" in_copy, mutatable_copy, out_copy = deepcopy(sL), deepcopy(sL), deepcopy(sL)\n",
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" last_in_obj, last_mut_obj = in_copy[-1], mutatable_copy[-1]\n",
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" \n",
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" _input = getBehaviorInput(last_in_obj, behavior_funcs)\n",
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" _input = getBehaviorInput(step, sL, last_in_obj, behavior_funcs)\n",
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"\n",
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" for f in state_funcs:\n",
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" f(last_mut_obj, _input)\n",
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" \n",
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" out_copy.append(last_mut_obj)\n",
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" f(step, sL, last_mut_obj, _input)\n",
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" \n",
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" last_mut_obj[\"step\"] = step\n",
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" out_copy.append(last_mut_obj) \n",
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" return out_copy\n",
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"\n",
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"def pipeline(states_list, configs):\n",
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"# isolate ALL step logic within 'step_func'\n",
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"def pipeline(states_list, configs, step_func):\n",
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" step = 0\n",
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" genesis_states = states_list[-1]\n",
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" genesis_states['step'] = step\n",
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" states_list = [genesis_states]\n",
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" \n",
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" step = step_func(step, 1)\n",
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" for config in configs:\n",
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" s_conf, b_conf = config[0], config[1]\n",
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" states_list = mech_step(states_list, s_conf, b_conf)\n",
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" states_list = mech_step(step, states_list, s_conf, b_conf)\n",
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" \n",
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" step = step_func(step, 1)\n",
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" return states_list"
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]
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},
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@ -153,9 +207,7 @@
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{
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"data": {
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"text/plain": [
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"[{'s1': 2, 's2': 4, 's3': 300},\n",
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" {'s1': 14, 's2': 15, 's3': 300},\n",
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" {'s1': 28.933333333333334, 's2': 15, 's3': 301}]"
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"[{'s1': 2, 's2': 4, 's3': 300}]"
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]
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},
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"execution_count": 7,
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@ -164,22 +216,70 @@
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}
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],
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"source": [
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"state_dict = {\n",
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" 's1': 2,\n",
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" 's2': 4,\n",
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" 's3': 300\n",
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"}\n",
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"states_list = [state_dict]\n",
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"configs = generate_configs(j)\n",
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"pipeline(states_list, configs)"
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"states_list"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[{'s1': 2, 's2': 4, 's3': 300, 'step': 0},\n",
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" {'s1': 14, 's2': 15, 's3': 300, 'step': 1},\n",
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" {'s1': 28.933333333333334, 's2': 15, 's3': 301, 'step': 2},\n",
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" {'s1': 28.933333333333334, 's2': 47.93333333333334, 's3': 301, 'step': 3}]"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"configs = generate_configs(j)\n",
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"def step_func(x, y):\n",
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" return x + y\n",
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"pipeline(states_list, configs, step_func)\n",
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"# categorize by simulation"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"47.93333333333334"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"15 + 28.933333333333334 + 4"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": []
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"source": [
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"# def multiply(x,y,z):\n",
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"# return x * y * z\n",
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"\n",
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"# # create a new function that multiplies by 2\n",
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"# dbl = partial(partial(multiply,2), multiply, 2)\n",
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"# print(dbl(2))"
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]
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}
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],
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"metadata": {
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