From cf00305963a20893f12ff17fd2c89bfe472c3b83 Mon Sep 17 00:00:00 2001 From: Michael Zargham Date: Tue, 16 Oct 2018 17:38:23 -0700 Subject: [PATCH] zargham test success! --- engine/__pycache__/__init__.cpython-36.pyc | Bin 147 -> 147 bytes .../configProcessor.cpython-36.pyc | Bin 727 -> 727 bytes .../mechanismExecutor.cpython-36.pyc | Bin 2499 -> 2499 bytes engine/__pycache__/run.cpython-36.pyc | Bin 769 -> 769 bytes engine/__pycache__/utils.cpython-36.pyc | Bin 2748 -> 2748 bytes notebooks/test.ipynb | 27 ++++++++------ ui/toyConfig.py | 33 +++++++++--------- 7 files changed, 32 insertions(+), 28 deletions(-) diff --git a/engine/__pycache__/__init__.cpython-36.pyc b/engine/__pycache__/__init__.cpython-36.pyc index 23735c920766f881a24777246f447f730ab31530..6171b1ad440fb4b2b5b50640d05209584a922fbe 100644 GIT binary patch delta 19 acmbQtIGK^nn3tC;E^Q*4BV*J=4{rb~Ed-$e delta 19 acmbQtIGK^nn3tC;(|RJCBV*M>4{rb}m;|8! diff --git a/engine/__pycache__/configProcessor.cpython-36.pyc b/engine/__pycache__/configProcessor.cpython-36.pyc index f6e95b3b98049a0a23b56068e09786a099d7e176..5d6a49cb405be59b5c3ac843f3111e9f76d327da 100644 GIT binary patch delta 20 ccmcc4dYzTcn3tC;E^Q*)TgIr3Umi0807BmfLI3~& delta 20 ccmcc4dYzTcn3tC;(|RJ?TgIx5Umi08076O!LI3~& diff --git a/engine/__pycache__/mechanismExecutor.cpython-36.pyc b/engine/__pycache__/mechanismExecutor.cpython-36.pyc index d3b363f3e342ffec9b016fece0a1af8e9975fa2f..1082845f9d43781e38051a651190fc946617dad5 100644 GIT binary patch delta 22 dcmX>sd{~&xn3tC;E^Q;51S4bAW_iXX8~{SF1$Y1e delta 22 dcmX>sd{~&xn3tC;(|RMD1S4bBW_iXX8~{Q41$Y1e diff --git a/engine/__pycache__/run.cpython-36.pyc b/engine/__pycache__/run.cpython-36.pyc index 4ba7fe3eb4aa695bfb3a67ab38c65ca97f1b710f..e22021bc7601d2d42a7b78d26f82a991b201b993 100644 GIT binary patch delta 22 dcmZoAI2a1tVkC=J$+3i~vNe23r6C diff --git a/engine/__pycache__/utils.cpython-36.pyc b/engine/__pycache__/utils.cpython-36.pyc index f3da34e4b52d6e06759c5e7a5c660159d33d9f4e..930d499b3f14ce6e94756512e6a2624c4562e753 100644 GIT binary patch delta 22 dcmdlZx<{1Fn3tC;E^Q-Q3?pOI=48f5P5?x?1*`x7 delta 22 dcmdlZx<{1Fn3tC;(|RLY3?pOJ=48f5P5?v%1*`x7 diff --git a/notebooks/test.ipynb b/notebooks/test.ipynb index 98d21c7..4b78882 100644 --- a/notebooks/test.ipynb +++ b/notebooks/test.ipynb @@ -2,8 +2,9 @@ "cells": [ { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": { + "collapsed": true, "scrolled": false }, "outputs": [], @@ -16,7 +17,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -33,24 +34,24 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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fxfRdyvTMrLisg22ADmYl2mzCZKMSJi1l8GzWanE4WZgVl8FLZGL3Y4EzSvZp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\nrFYPBAlv5g9nH4yjDtgLAHDqUZPx2ua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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -58,20 +59,24 @@ } ], "source": [ - "d.plot()" + "d.plot(x='time_step', y='mech_step')" ] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [] } @@ -92,7 +97,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.6.3" } }, "nbformat": 4, diff --git a/ui/toyConfig.py b/ui/toyConfig.py index cb2944c..070b687 100644 --- a/ui/toyConfig.py +++ b/ui/toyConfig.py @@ -12,36 +12,35 @@ seed = { # Behaviors per Mechanism def b1m1(step, sL, s): - return s['s1'] + 1 + return s['s1'] def b2m1(step, sL, s): - return s['s1'] + 1 + return s['s2']-s['s1'] def b1m2(step, sL, s): - return s['s1'] + 1 + return s['s1']-s['s2'] def b2m2(step, sL, s): - return s['s1'] + 1 + return s['s2'] def b1m3(step, sL, s): - return s['s1'] + 1 + return s['s1'] def b2m3(step, sL, s): - return s['s2'] + 1 + return s['s2'] # Internal States per Mechanism def s1m1(step, sL, s, _input): - s['s1'] = s['s1'] + _input + s['s1'] = (s['s1']-Decimal('0.5')*_input)/(s['s1']+s['s2']+s['s3']+s['s4'])**2 def s2m1(step, sL, s, _input): - s['s2'] = s['s2'] + _input - + s['s2'] = (s['s2']-Decimal('0.5')*_input)/(s['s2']+s['s1']+s['s3']+s['s4'])**2 def s1m2(step, sL, s, _input): - s['s1'] = s['s1'] + _input + s['s1'] = s['s3']*(_input*s['s1']/s['s2']+Decimal('1.0')) def s2m2(step, sL, s, _input): - s['s2'] = s['s2'] + _input + s['s2'] = s['s4']*(s['s2']/s['s1']+Decimal('1.0')) def s1m3(step, sL, s, _input): - s['s1'] = s['s1'] + _input + s['s1'] = s['s1']+Decimal(.25)*(s['s2']-s['s1']) + Decimal(.25)*(_input-s['s1']) def s2m3(step, sL, s, _input): - s['s2'] = s['s2'] + _input + s['s2'] = s['s2']+Decimal(.25)*(s['s1']-s['s2']) + Decimal(.25)*(_input-s['s2']) # Exogenous States proc_one_coef_A = 0.7 @@ -55,16 +54,16 @@ def es5p2(step, sL, s, _input): # accept timedelta instead of timedelta params # Environment States def env_a(x): - return 10 + return 3 def env_b(x): - return 10 + return 7 # def what_ever(x): # return x + 1 # Genesis States state_dict = { - 's1': Decimal(0.0), - 's2': Decimal(0.0), + 's1': Decimal(5.0), + 's2': Decimal(10.0), 's3': Decimal(1.0), 's4': Decimal(1.0), 'timestamp': '2018-10-01 15:16:24'