1042 lines
34 KiB
Plaintext
1042 lines
34 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"from fn import op, _, F\n",
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"from operator import add, mul\n",
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"from itertools import repeat, chain\n",
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"from functools import reduce\n",
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"# from objproxies import LazyProxy\n",
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"import json\n",
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"from copy import deepcopy, copy\n",
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"from pipetools import pipe\n",
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"from functools import partial\n",
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"import numpy as np\n",
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"from datetime import datetime, timedelta\n",
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"from decimal import Decimal, getcontext, ROUND_DOWN\n",
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"getcontext().prec=4\n",
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"getcontext().rounding = ROUND_DOWN"
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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": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"flatten = lambda l: [item for sublist in l for item in sublist]\n",
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"\n",
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"def flatmap(f, items):\n",
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" return list(map(f, items))\n",
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" \n",
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"def last_index(l):\n",
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" return len(l)-1\n",
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"\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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"# Stochastic Process\n",
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"# Input RNG Seed\n",
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"def bound_norm_random(rng, low, high):\n",
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" # Add RNG Seed\n",
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" res = rng.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(rng, low, high)\n",
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" return Decimal(res)\n",
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"\n",
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"def env_proc(trigger_step, update_f):\n",
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" def env_step_trigger(trigger_step, update_f, step):\n",
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" if step == trigger_step:\n",
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" return update_f\n",
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" else:\n",
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" return lambda x: x\n",
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" return partial(env_step_trigger, trigger_step, update_f)\n",
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"\n",
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"def env_proc(trigger_step, update_f):\n",
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" def env_step_trigger(trigger_step, update_f, step):\n",
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" if step == trigger_step:\n",
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" return update_f\n",
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" else:\n",
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" return lambda x: x\n",
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" return partial(env_step_trigger, trigger_step, update_f)\n",
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"\n",
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"def time_step(s, dt_str, fromat_str='%Y-%m-%d %H:%M:%S', days=0, minutes=0, seconds=1):\n",
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" if s['mech_step'] == 0:\n",
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" dt = datetime.strptime(dt_str, fromat_str)\n",
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" t = dt + timedelta(days=days, minutes=minutes, seconds=seconds)\n",
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" return t.strftime(fromat_str)\n",
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" else: \n",
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" return dt_str"
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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": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"# def pipeline(*steps):\n",
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"# return reduce(lambda x, y: y(x), list(steps))\n",
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"# def compose(*funcs):\n",
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"# return lambda x: reduce(lambda f, g: g(f), list(funcs), x)"
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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": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"seed = {\n",
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" 'z': np.random.RandomState(1),\n",
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" 'a': np.random.RandomState(2),\n",
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" 'b': np.random.RandomState(3),\n",
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" 'c': np.random.RandomState(3)\n",
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"}\n"
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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": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"a = np.random.RandomState(1)\n",
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"proc_one_coef_B = 1.3\n",
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"b = np.random.RandomState(2)\n",
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"\n",
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"def pipe_f(x):\n",
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" return x"
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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": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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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(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(step, sL, s):\n",
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" return s['s1']\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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"def b1m3(step, sL, s):\n",
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" return s['s1'] + seed['z'].randint(1000)\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 Internal States per Mechanism\n",
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"def s1m1(step, sL, s, _input):\n",
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"# print(s['s1'])\n",
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" s['s1'] = s['s1']**2 + _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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"def s1m2(step, sL, s, _input):\n",
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" s['s1'] = s['s1'] + _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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" \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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"# UI Exogenous States //per Mechanism \n",
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"\n",
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"proc_one_coef_A = 0.7\n",
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"proc_one_coef_B = 1.3\n",
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"def es3p1(step, sL, s, _input):\n",
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" s['s3'] = s['s3'] * bound_norm_random(seed['a'], proc_one_coef_A, proc_one_coef_B)\n",
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"def es4p2(step, sL, s, _input):\n",
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" s['s4'] = s['s4'] * bound_norm_random(seed['b'], proc_one_coef_A, proc_one_coef_B) \n",
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"def es5p2(step, sL, s, _input):\n",
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" s['timestamp'] = time_step(s, s['timestamp'], seconds=1)\n",
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"\n",
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"\n",
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"#add env process f(s) read from time es\n",
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"# funcs execute in order\n",
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"def env_a(x): \n",
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" return x + 1\n",
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"def env_b(x): \n",
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" return x + 2\n",
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" \n",
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"def what_ever(x): \n",
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" return x + 1\n",
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"\n",
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"# Genesis States \n",
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"state_dict = {\n",
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" 's1': Decimal(2.0),\n",
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" 's2': Decimal(4.0),\n",
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" 's3': Decimal(0.0),\n",
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" 's4': Decimal(0.0),\n",
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" 'timestamp': '2018-10-01 15:16:24'\n",
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"}\n",
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"\n",
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"exogenous_states = {\n",
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" \"s3\": es3p1,\n",
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" \"s4\": es4p2,\n",
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" \"timestamp\": es5p2\n",
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"}\n",
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"\n",
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"# update time at the end of each pipeline (once per 'block')\n",
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"env_processes = {\n",
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" \"s3\": env_proc(1, env_a),\n",
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" \"s4\": env_proc(1, pipe | env_b | what_ever)\n",
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"}\n",
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" \n",
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"mechanisms = {\n",
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" \"m1\": {\n",
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" \"behaviors\": {\n",
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" \"b1\": b1m1,\n",
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" \"b2\": b2m1\n",
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" },\n",
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" \"states\": {\n",
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" \"s1\": s1m1,\n",
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" \"s2\": s2m1,\n",
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" }\n",
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" },\n",
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" \"m2\": {\n",
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" \"behaviors\": {\n",
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" \"b1\": b1m2,\n",
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" \"b2\": b2m2\n",
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" },\n",
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" \"states\": {\n",
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" \"s1\": s1m2,\n",
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" \"s2\": s2m2,\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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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"# if beh list empty, repeat 0 x n_states in list \n",
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"def generate_config(mechanisms, exogenous_states):\n",
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" es_funcs = [exogenous_states[state] for state in list(exogenous_states.keys())]\n",
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" config = list(\n",
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" map(\n",
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" lambda m: (\n",
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" list(mechanisms[m][\"states\"].values()) + es_funcs,\n",
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" list(mechanisms[m][\"behaviors\"].values())\n",
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" ), \n",
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" list(mechanisms.keys())\n",
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" )\n",
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" )\n",
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" return config\n",
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"\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(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 apply_env_proc(env_processes, state_dict, step):\n",
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" for state in state_dict.keys(): \n",
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" if state in list(env_processes.keys()):\n",
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" state_dict[state] = env_processes[state](step)(state_dict[state])\n",
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"# return state_dict\n",
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" \n",
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"def mech_step(m_step, sL, state_funcs, behavior_funcs, env_processes, t_step):\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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" # * force eval of _input withing state functions\n",
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" _input = getBehaviorInput(m_step, sL, last_in_obj, behavior_funcs)\n",
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"\n",
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" apply_env_proc(env_processes, last_mut_obj, t_step)\n",
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" \n",
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" for f in state_funcs:\n",
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" f(m_step, sL, last_mut_obj, _input)\n",
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" \n",
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" last_mut_obj[\"mech_step\"], last_mut_obj[\"time_step\"] = m_step, t_step\n",
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" out_copy.append(last_mut_obj)\n",
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" \n",
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" del last_in_obj, last_mut_obj, in_copy, mutatable_copy,\n",
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" return out_copy\n",
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"\n",
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"def block_gen(states_list, configs, env_processes, t_step):\n",
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" m_step = 0\n",
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" states_list_copy = deepcopy(states_list)\n",
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" genesis_states = states_list_copy[-1]\n",
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" genesis_states['mech_step'], genesis_states['time_step'] = m_step, t_step\n",
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" states_list = [genesis_states]\n",
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" \n",
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" m_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(m_step, states_list, s_conf, b_conf, env_processes, t_step) \n",
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" m_step += 1\n",
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" \n",
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" t_step += 1 \n",
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" \n",
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" return states_list\n",
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"\n",
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"def pipeline(states_list, configs, env_processes, time_seq):\n",
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" time_seq = [x + 1 for x in time_seq]\n",
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" simulation_list = [states_list]\n",
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" for time_step in time_seq:\n",
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" pipeline_run = block_gen(simulation_list[-1], configs, env_processes, time_step)\n",
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" head, *pipeline_run = pipeline_run\n",
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" simulation_list.append(pipeline_run)\n",
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" \n",
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" # should only occur once for genesis state, placed before loop\n",
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" head, *tail = simulation_list\n",
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" head[-1]['mech_step'], head[-1]['time_step'] = 0, 0\n",
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" simulation_list = head, *tail\n",
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" return simulation_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": 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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"{'s1': Decimal('2.221384236472411425810660220E+330'),\n",
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" 's2': Decimal('2.845096899831187764579913612E+330'),\n",
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" 's3': Decimal('3.622519693611211445932083740'),\n",
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" 's4': Decimal('5.161487081026327858663750787'),\n",
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" 'timestamp': '2018-10-01 15:16:32',\n",
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" 'mech_step': 3,\n",
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" 'time_step': 8}"
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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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"states_list = [state_dict]\n",
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"states_list\n",
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"{'s1': 8.742503764992283e+170,\n",
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" 's2': 1.119720780594405e+171,\n",
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" 's3': 4.251811100418906,\n",
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" 's4': 6.92728042985628,\n",
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" 'timestamp': '2018-10-01 15:16:31',\n",
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" 'mech_step': 3,\n",
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" 'time_step': 7}\n",
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"{'s1': Decimal('2.221384236472411425810660220E+330'),\n",
|
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" 's2': Decimal('2.845096899831187764579913612E+330'),\n",
|
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" 's3': Decimal('3.622519693611211445932083740'),\n",
|
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" 's4': Decimal('5.161487081026327858663750787'),\n",
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" 'timestamp': '2018-10-01 15:16:32',\n",
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" 'mech_step': 3,\n",
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" 'time_step': 8}"
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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": 19,
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"metadata": {
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"collapsed": true
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},
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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': Decimal('2'),\n",
|
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" 's2': Decimal('4'),\n",
|
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" 's3': Decimal('0'),\n",
|
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" 's4': Decimal('0'),\n",
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" 'timestamp': '2018-10-01 15:16:24',\n",
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" 'mech_step': 0,\n",
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" 'time_step': 0}],\n",
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" [{'s1': Decimal('14'),\n",
|
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" 's2': Decimal('15'),\n",
|
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" 's3': Decimal('1.150'),\n",
|
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" 's4': Decimal('3.045'),\n",
|
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" 'timestamp': '2018-10-01 15:16:25',\n",
|
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" 'mech_step': 1,\n",
|
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" 'time_step': 1},\n",
|
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" {'s1': Decimal('28.93'),\n",
|
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" 's2': Decimal('15'),\n",
|
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" 's3': Decimal('2.336'),\n",
|
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" 's4': Decimal('6.033'),\n",
|
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" 'timestamp': '2018-10-01 15:16:25',\n",
|
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" 'mech_step': 2,\n",
|
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" 'time_step': 1},\n",
|
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" {'s1': Decimal('28.93'),\n",
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" 's2': Decimal('544.9'),\n",
|
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" 's3': Decimal('2.973'),\n",
|
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" 's4': Decimal('9.469'),\n",
|
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" 'timestamp': '2018-10-01 15:16:25',\n",
|
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" 'mech_step': 3,\n",
|
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" 'time_step': 1}],\n",
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" [{'s1': Decimal('1.661E+4'),\n",
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" 's2': Decimal('1.632E+4'),\n",
|
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" 's3': Decimal('3.170'),\n",
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" 's4': Decimal('10.19'),\n",
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" 'timestamp': '2018-10-01 15:16:26',\n",
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" 'mech_step': 1,\n",
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" 'time_step': 2},\n",
|
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" {'s1': Decimal('3.322E+4'),\n",
|
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" 's2': Decimal('1.632E+4'),\n",
|
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" 's3': Decimal('3.402'),\n",
|
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" 's4': Decimal('11.58'),\n",
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" 'timestamp': '2018-10-01 15:16:26',\n",
|
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" 'mech_step': 2,\n",
|
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" 'time_step': 2},\n",
|
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" {'s1': Decimal('3.322E+4'),\n",
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" 's2': Decimal('5.012E+4'),\n",
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" 's3': Decimal('3.040'),\n",
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" 's4': Decimal('12.90'),\n",
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" 'timestamp': '2018-10-01 15:16:26',\n",
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" 'mech_step': 3,\n",
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" 'time_step': 2}],\n",
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" [{'s1': Decimal('2.767E+9'),\n",
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" 's2': Decimal('1.664E+9'),\n",
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" 's3': Decimal('3.007'),\n",
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" 's4': Decimal('12.75'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:27',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 3},\n",
|
|
" {'s1': Decimal('5.534E+9'),\n",
|
|
" 's2': Decimal('1.664E+9'),\n",
|
|
" 's3': Decimal('2.450'),\n",
|
|
" 's4': Decimal('13.24'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:27',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 3},\n",
|
|
" {'s1': Decimal('5.534E+9'),\n",
|
|
" 's2': Decimal('7.198E+9'),\n",
|
|
" 's3': Decimal('2.530'),\n",
|
|
" 's4': Decimal('12.72'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:27',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 3}],\n",
|
|
" [{'s1': Decimal('7.045E+19'),\n",
|
|
" 's2': Decimal('3.983E+19'),\n",
|
|
" 's3': Decimal('2.450'),\n",
|
|
" 's4': Decimal('11.97'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:28',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 4},\n",
|
|
" {'s1': Decimal('1.409E+20'),\n",
|
|
" 's2': Decimal('3.983E+19'),\n",
|
|
" 's3': Decimal('2.119'),\n",
|
|
" 's4': Decimal('14.25'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:28',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 4},\n",
|
|
" {'s1': Decimal('1.409E+20'),\n",
|
|
" 's2': Decimal('1.807E+20'),\n",
|
|
" 's3': Decimal('1.971'),\n",
|
|
" 's4': Decimal('13.59'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:28',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 4}],\n",
|
|
" [{'s1': Decimal('4.531E+40'),\n",
|
|
" 's2': Decimal('2.546E+40'),\n",
|
|
" 's3': Decimal('2.018'),\n",
|
|
" 's4': Decimal('16.29'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:29',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 5},\n",
|
|
" {'s1': Decimal('9.062E+40'),\n",
|
|
" 's2': Decimal('2.546E+40'),\n",
|
|
" 's3': Decimal('1.906'),\n",
|
|
" 's4': Decimal('15.72'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:29',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 5},\n",
|
|
" {'s1': Decimal('9.062E+40'),\n",
|
|
" 's2': Decimal('1.160E+41'),\n",
|
|
" 's3': Decimal('1.963'),\n",
|
|
" 's4': Decimal('16.11'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:29',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 5}],\n",
|
|
" [{'s1': Decimal('1.872E+82'),\n",
|
|
" 's2': Decimal('1.051E+82'),\n",
|
|
" 's3': Decimal('2.071'),\n",
|
|
" 's4': Decimal('17.86'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:30',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 6},\n",
|
|
" {'s1': Decimal('3.744E+82'),\n",
|
|
" 's2': Decimal('1.051E+82'),\n",
|
|
" 's3': Decimal('1.896'),\n",
|
|
" 's4': Decimal('17.90'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:30',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 6},\n",
|
|
" {'s1': Decimal('3.744E+82'),\n",
|
|
" 's2': Decimal('4.795E+82'),\n",
|
|
" 's3': Decimal('1.836'),\n",
|
|
" 's4': Decimal('18.60'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:30',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 6}],\n",
|
|
" [{'s1': Decimal('3.196E+165'),\n",
|
|
" 's2': Decimal('1.795E+165'),\n",
|
|
" 's3': Decimal('2.229'),\n",
|
|
" 's4': Decimal('18.15'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:31',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 7},\n",
|
|
" {'s1': Decimal('6.392E+165'),\n",
|
|
" 's2': Decimal('1.795E+165'),\n",
|
|
" 's3': Decimal('2.255'),\n",
|
|
" 's4': Decimal('17.28'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:31',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 7},\n",
|
|
" {'s1': Decimal('6.392E+165'),\n",
|
|
" 's2': Decimal('8.187E+165'),\n",
|
|
" 's3': Decimal('2.064'),\n",
|
|
" 's4': Decimal('16.99'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:31',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 7}],\n",
|
|
" [{'s1': Decimal('9.318E+331'),\n",
|
|
" 's2': Decimal('5.233E+331'),\n",
|
|
" 's3': Decimal('2.076'),\n",
|
|
" 's4': Decimal('15.88'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:32',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 8},\n",
|
|
" {'s1': Decimal('1.863E+332'),\n",
|
|
" 's2': Decimal('5.233E+331'),\n",
|
|
" 's3': Decimal('1.798'),\n",
|
|
" 's4': Decimal('18.47'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:32',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 8},\n",
|
|
" {'s1': Decimal('1.863E+332'),\n",
|
|
" 's2': Decimal('2.386E+332'),\n",
|
|
" 's3': Decimal('2.001'),\n",
|
|
" 's4': Decimal('18.16'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:32',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 8}],\n",
|
|
" [{'s1': Decimal('7.915E+664'),\n",
|
|
" 's2': Decimal('4.445E+664'),\n",
|
|
" 's3': Decimal('2.075'),\n",
|
|
" 's4': Decimal('21.28'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:33',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 9},\n",
|
|
" {'s1': Decimal('1.583E+665'),\n",
|
|
" 's2': Decimal('4.445E+664'),\n",
|
|
" 's3': Decimal('2.300'),\n",
|
|
" 's4': Decimal('15.56'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:33',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 9},\n",
|
|
" {'s1': Decimal('1.583E+665'),\n",
|
|
" 's2': Decimal('2.027E+665'),\n",
|
|
" 's3': Decimal('2.507'),\n",
|
|
" 's4': Decimal('15.58'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:33',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 9}],\n",
|
|
" [{'s1': Decimal('5.713E+1330'),\n",
|
|
" 's2': Decimal('3.208E+1330'),\n",
|
|
" 's3': Decimal('2.604'),\n",
|
|
" 's4': Decimal('16.45'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:34',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 10},\n",
|
|
" {'s1': Decimal('1.142E+1331'),\n",
|
|
" 's2': Decimal('3.208E+1330'),\n",
|
|
" 's3': Decimal('2.858'),\n",
|
|
" 's4': Decimal('15.96'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:34',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 10},\n",
|
|
" {'s1': Decimal('1.142E+1331'),\n",
|
|
" 's2': Decimal('1.462E+1331'),\n",
|
|
" 's3': Decimal('2.912'),\n",
|
|
" 's4': Decimal('17.70'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:34',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 10}],\n",
|
|
" [{'s1': Decimal('2.973E+2662'),\n",
|
|
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|
|
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|
|
" 's4': Decimal('18.83'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:35',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 11},\n",
|
|
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|
|
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|
|
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|
|
" 's4': Decimal('18.31'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:35',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 11},\n",
|
|
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|
|
" 's2': Decimal('7.615E+2662'),\n",
|
|
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|
|
" 's4': Decimal('19.10'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:35',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 11}],\n",
|
|
" [{'s1': Decimal('8.062E+5325'),\n",
|
|
" 's2': Decimal('4.527E+5325'),\n",
|
|
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|
|
" 's4': Decimal('24.47'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:36',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 12},\n",
|
|
" {'s1': Decimal('1.612E+5326'),\n",
|
|
" 's2': Decimal('4.527E+5325'),\n",
|
|
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|
|
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|
|
" 'timestamp': '2018-10-01 15:16:36',\n",
|
|
" 'mech_step': 2,\n",
|
|
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|
|
" {'s1': Decimal('1.612E+5326'),\n",
|
|
" 's2': Decimal('2.064E+5326'),\n",
|
|
" 's3': Decimal('1.710'),\n",
|
|
" 's4': Decimal('25.83'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:36',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 12}],\n",
|
|
" [{'s1': Decimal('5.925E+10652'),\n",
|
|
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|
|
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|
|
" 's4': Decimal('24.69'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:37',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 13},\n",
|
|
" {'s1': Decimal('1.185E+10653'),\n",
|
|
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|
|
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|
|
" 's4': Decimal('25.01'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:37',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 13},\n",
|
|
" {'s1': Decimal('1.185E+10653'),\n",
|
|
" 's2': Decimal('1.517E+10653'),\n",
|
|
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|
|
" 's4': Decimal('21.78'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:37',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 13}],\n",
|
|
" [{'s1': Decimal('3.201E+21306'),\n",
|
|
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|
|
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|
|
" 's4': Decimal('21.34'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:38',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 14},\n",
|
|
" {'s1': Decimal('6.402E+21306'),\n",
|
|
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|
|
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|
|
" 's4': Decimal('26.58'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:38',\n",
|
|
" 'mech_step': 2,\n",
|
|
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|
|
" {'s1': Decimal('6.402E+21306'),\n",
|
|
" 's2': Decimal('8.199E+21306'),\n",
|
|
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|
|
" 's4': Decimal('29.41'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:38',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 14}],\n",
|
|
" [{'s1': Decimal('9.346E+42613'),\n",
|
|
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|
|
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|
|
" 's4': Decimal('31.29'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:39',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 15},\n",
|
|
" {'s1': Decimal('1.869E+42614'),\n",
|
|
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|
|
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|
|
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|
|
" 'timestamp': '2018-10-01 15:16:39',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 15},\n",
|
|
" {'s1': Decimal('1.869E+42614'),\n",
|
|
" 's2': Decimal('2.393E+42614'),\n",
|
|
" 's3': Decimal('1.136'),\n",
|
|
" 's4': Decimal('41.27'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:39',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 15}],\n",
|
|
" [{'s1': Decimal('7.965E+85228'),\n",
|
|
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|
|
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|
|
" 's4': Decimal('43.71'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:40',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 16},\n",
|
|
" {'s1': Decimal('1.593E+85229'),\n",
|
|
" 's2': Decimal('4.472E+85228'),\n",
|
|
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|
|
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|
|
" 'timestamp': '2018-10-01 15:16:40',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 16},\n",
|
|
" {'s1': Decimal('1.593E+85229'),\n",
|
|
" 's2': Decimal('2.040E+85229'),\n",
|
|
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|
|
" 's4': Decimal('58.40'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:40',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 16}],\n",
|
|
" [{'s1': Decimal('5.786E+170458'),\n",
|
|
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|
|
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|
|
" 's4': Decimal('59.37'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:41',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 17},\n",
|
|
" {'s1': Decimal('1.157E+170459'),\n",
|
|
" 's2': Decimal('3.249E+170458'),\n",
|
|
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|
|
" 's4': Decimal('69.57'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:41',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 17},\n",
|
|
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|
|
" 's2': Decimal('1.481E+170459'),\n",
|
|
" 's3': Decimal('1.205'),\n",
|
|
" 's4': Decimal('53.15'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:41',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 17}],\n",
|
|
" [{'s1': Decimal('3.051E+340918'),\n",
|
|
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|
|
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|
|
" 's4': Decimal('50.11'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:42',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 18},\n",
|
|
" {'s1': Decimal('6.102E+340918'),\n",
|
|
" 's2': Decimal('1.713E+340918'),\n",
|
|
" 's3': Decimal('0.9241'),\n",
|
|
" 's4': Decimal('51.44'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:42',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 18},\n",
|
|
" {'s1': Decimal('6.102E+340918'),\n",
|
|
" 's2': Decimal('7.815E+340918'),\n",
|
|
" 's3': Decimal('0.9588'),\n",
|
|
" 's4': Decimal('46.74'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:42',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 18}],\n",
|
|
" [{'s1': Decimal('8.491E+681837'),\n",
|
|
" 's2': Decimal('4.768E+681837'),\n",
|
|
" 's3': Decimal('0.9458'),\n",
|
|
" 's4': Decimal('46.01'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:43',\n",
|
|
" 'mech_step': 1,\n",
|
|
" 'time_step': 19},\n",
|
|
" {'s1': Decimal('1.698E+681838'),\n",
|
|
" 's2': Decimal('4.768E+681837'),\n",
|
|
" 's3': Decimal('0.9775'),\n",
|
|
" 's4': Decimal('43.07'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:43',\n",
|
|
" 'mech_step': 2,\n",
|
|
" 'time_step': 19},\n",
|
|
" {'s1': Decimal('1.698E+681838'),\n",
|
|
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|
|
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|
|
" 's4': Decimal('40.25'),\n",
|
|
" 'timestamp': '2018-10-01 15:16:43',\n",
|
|
" 'mech_step': 3,\n",
|
|
" 'time_step': 19}])"
|
|
]
|
|
},
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"configs = generate_config(mechanisms, exogenous_states)\n",
|
|
"\n",
|
|
"pipeline(states_list, configs, env_processes, range(19))\n",
|
|
"# a = block_gen(states_list, configs, env_processes, 1)\n",
|
|
"# b = block_gen(a, configs, env_processes, 2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"999999999999999995000000000000000009999999999999999990000000000000000004999999999999999999"
|
|
]
|
|
},
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from decimal import Decimal, MAX_EMAX\n",
|
|
"# Decimal(2.5347751615574597e+167)**2\n",
|
|
"MAX_EMAX**5"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"metadata": {
|
|
"scrolled": true
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"1000000"
|
|
]
|
|
},
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"1000 * 1000"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"metadata": {
|
|
"scrolled": true
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"2018-10-02 12:37:06.309267\n",
|
|
"2018-10-02 12:38:06.309267\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from datetime import datetime, timedelta\n",
|
|
"# from datetime import timedelta \n",
|
|
"# st = datetime.fromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S')\n",
|
|
"st = datetime.now()\n",
|
|
"print(st)\n",
|
|
"x = st + timedelta(seconds=60)\n",
|
|
"print(x)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"datetime.datetime(2018, 10, 2, 12, 37, 6)"
|
|
]
|
|
},
|
|
"execution_count": 14,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"s = datetime.now().strftime('%Y-%m-%d %H:%M:%S')\n",
|
|
"datetime_object = datetime.strptime(s, '%Y-%m-%d %H:%M:%S')\n",
|
|
"datetime_object"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"ename": "TypeError",
|
|
"evalue": "Required argument 'timestamp' (pos 1) not found",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m--------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
|
|
"\u001b[0;32m<ipython-input-15-b6bd5605ee70>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfromtimestamp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
|
"\u001b[0;31mTypeError\u001b[0m: Required argument 'timestamp' (pos 1) not found"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"datetime.fromtimestamp()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from datetime import datetime, timedelta\n",
|
|
"\n",
|
|
"# def time_step_func(year, month, day, hour, minute, second):\n",
|
|
"a = datetime(2016, 11, 15, 9, 59, 25)#.strftime(\"%Y-%m-%d %H:%M:%S\")\n",
|
|
"b = a + timedelta(seconds=60) # days, seconds, then other fields.\n",
|
|
"print(a)\n",
|
|
"print(b)\n",
|
|
"st = datetime.fromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S')\n",
|
|
"def time_step_func(dt_str, fromat_str='%Y-%m-%d %H:%M:%S', days=0, minutes=0, seconds=1):\n",
|
|
" dt = datetime.strptime(dt_str, fromat_str)\n",
|
|
" t = dt + timedelta(days=days, minutes=minutes, seconds=seconds)\n",
|
|
" return t.strftime(fromat_str)\n",
|
|
"\n",
|
|
"time_step_func('2018-10-01 15:16:24')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def time_step_func(x, y):\n",
|
|
" return x + y"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"for m in M: #M is the parameter sweep array\n",
|
|
" # for Pairwise, run below separately\n",
|
|
" for n in N: #N is the total number of Montecarlo runs\n",
|
|
" for t in T: #T[len(T)]-T[0] is the duration of each simulation\n",
|
|
" # Pipeline\n",
|
|
" for b in Behaviors:\n",
|
|
" for M in Mechanisms:\n",
|
|
" for s in States:\n",
|
|
" update(s)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"[{'s1': 2}] + [{'s1': 3}]\n",
|
|
"list(zip([block_gen] * 2, range(2)))\n",
|
|
"len([0,1])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"states_list = [state_dict]\n",
|
|
"configs = generate_config(mechanisms, exogenous_states)\n",
|
|
"def step_func(x, y):\n",
|
|
" return x + y\n",
|
|
"pipeline(states_list, configs, env_processes, step_func)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# def s3step1(step, sL, s, _input):\n",
|
|
"# s['s3'] = s['s3'] \n",
|
|
"# # def s3step2(step, sL, s, _input):\n",
|
|
"# s['s3'] = s['s3'] + 1\n",
|
|
"# def s3step3(step, sL, s, _input):\n",
|
|
"# s['s3'] = s['s3'] * bound_norm_random(proc_one_coef_A, proc_one_coef_B)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# 15 + 28.933333333333334 + 4"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# def multiply(x,y,z):\n",
|
|
"# return x * y * z\n",
|
|
"\n",
|
|
"# # create a new function that multiplies by 2\n",
|
|
"# dbl = partial(partial(multiply,2), multiply, 2)\n",
|
|
"# print(dbl(2))"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.6.5"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|