897 lines
420 KiB
Plaintext
897 lines
420 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Aragon Conviction Voting Model - Version 1"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Model Overview \n",
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"\n",
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"[Conviction Voting](https://medium.com/giveth/conviction-voting-a-novel-continuous-decision-making-alternative-to-governance-aa746cfb9475) is a novel decision making process where votes express their preference for which proposals they would like to see approved in a continuous rather than discrete way. The longer the community keeps a preference on an individual proposal, the “stronger” the proposal conviction becomes. In the conviction voting model, a graph structure is used to record the introduction and removal of participants, candidates, proposals, and their outcomes.\n",
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"\n",
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"## cadCAD Overview\n",
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"\n",
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"In the cadCAD simulation [methodology](https://community.cadcad.org/t/differential-specification-syntax-key/31), we operate on four layers: **Policies, Mechanisms, States**, and **Metrics**. Information flows do not have explicit feedback loop unless noted. **Policies** determine the inputs into the system dynamics, and can come from user input, observations from the exogenous environment, or algorithms. **Mechanisms** are functions that take the policy decisions and update the States to reflect the policy level changes. **States** are variables that represent the system quantities at the given point in time, and **Metrics** are computed from state variables to assess the health of the system. Metrics can often be thought of as KPIs, or Key Performance Indicators. \n",
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"\n",
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"At a more granular level, to setup a model, there are system conventions and configurations that must be [followed.](https://community.cadcad.org/t/introduction-to-simulation-configurations/34)\n",
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"\n",
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"The way to think of cadCAD modeling is analogous to machine learning pipelines which normally consist of multiple steps when training and running a deployed model. There is preprocessing, which includes segregating features between continuous and categorical, transforming or imputing data, and then instantiating, training, and running a machine learning model with specified hyperparameters. cadCAD modeling can be thought of in the same way as states, roughly translating into features, are fed into pipelines that have built-in logic to direct traffic between different mechanisms, such as scaling and imputation. Accuracy scores, ROC, etc. are analogous to the metrics that can be configured on a cadCAD model, specifying how well a given model is doing in meeting its objectives. The parameter sweeping capability of cadCAD can be thought of as a grid search, or way to find the optimal hyperparameters for a system by running through alternative scenarios. A/B style testing that cadCAD enables is used in the same way machine learning models are A/B tested, except out of the box, in providing a side by side comparison of muliple different models to compare and contrast performance. Utilizing the field of Systems Identification, dynamical systems models can be used to \"online learn\" by providing a feedback loop to generative system mechanisms. \n",
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"\n",
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"\n",
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"## Differential Specification\n",
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"\n",
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"\n",
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"## Schema of the states\n",
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"The model consists of a temporal in memory graph database called *network* containing nodes of type **Participant** and type **Proposal**. Participants will have *holdings* and Proposals will have *funds_required, status*(candidate or active), *conviction*. Edges in the network go from nodes of type Participant to nodes of type Proposal with the edges having the key *type*, of which all will be set to *support*. Edges from participant $i$ to proposal $j$ will have the following additional characteristics:\n",
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"* Each pairing (i,j) will have *affinity*, which determines how much $i$ likes or dislikes proposal $j$.\n",
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"* Each participant $i$, assigns its $tokens$ over the edges (i,j) for all $j$ such that the summation of all $j$ such that ```Sum_j = network.edges[(i,j)]['tokens'] = network.nodes[i]['holdings']```\n",
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"* Each pairing (i,j) will have *conviction* local to that edge whose update at each timestep is computed using the value of *tokens* at that edge.\n",
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"* Each proposal *j* will have a *conviction* which is equal to the sum of the conviction on its inbound edges: ```network.nodes[j]['conviction'] = Sum_i network.edges[(i,j)]['conviction']```\n",
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"* The \"trigger function\" will check whether each proposal $j$ has met the criteria for passing; if a proposal passes its *status* changes from *candidate* to *active*, and an amount of funds equal to its *funds_required* will be decremented from *funds*.\n",
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"\n",
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"\n",
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"The other state variable in the model is *funds*, which is a numpy floating point. \n",
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"\n",
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"The system consists of 100 time steps without a parameter sweep or monte carlo.\n",
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"\n",
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"\n",
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"## Partial State Update Blocks\n",
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"\n",
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"Each partial state update block is kind of a like a phase in a phased based board game. Everyone decides what to do and it reconciles all decisions. One timestep is a full turn, with each block being a phase of a timestep or turn. We will walk through the individaul Partial State update blocks one by one below."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"```\n",
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"{\n",
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"# system.py: \n",
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"'policies': { \n",
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" 'random': driving_process\n",
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"},\n",
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"'variables': {\n",
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" 'network': update_network,\n",
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" 'funds':increment_funds,\n",
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"}\n",
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"```\n",
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"\n",
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"To simulate the arrival of participants and proposal into the system, we have a driving process to represent the arrival of individual agents. For simplification, we are using hyperparameters for supply and sentiment, 1,231,286.81 and 0.6 respectively. We use a random uniform distribution generator, over [0, 1), to calculate the number of new participants. We then use an expoential distribution to calculate the particpant's tokens by using a loc of 0.0 and a scale of expected holdings, which is calcutulaed by .1*supply/number of existing participants. We calcualte the number of new proposals by \n",
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"```\n",
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"proposal_rate = 1/median_affinity * (1+total_funds_requested/funds)\n",
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"rv2 = np.random.rand()\n",
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"new_proposal = bool(rv2<1/proposal_rate)\n",
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"```\n",
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"The network state variable is updated to include the new participants and proposals, while the funds state variable is updated for the increase in system funds. \n",
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"[To see the partial state update code, click here](model/model/system.py)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"```\n",
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"{\n",
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" # participants.py \n",
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" 'policies': {\n",
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" 'completion': check_progress \n",
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" },\n",
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" 'variables': { \n",
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" 'network': complete_proposal\n",
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" }\n",
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"},\n",
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"```\n",
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"\n",
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"In the next phase of the turn, [to see the logic code, click here](model/model/participants.py), the *check_progress* behavior checks for the completion of previously funded proposals. The code calculates the completion and failure rates as follows:\n",
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"\n",
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"```\n",
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"likelihood = 1.0/(base_completion_rate+np.log(grant_size))\n",
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"\n",
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"failure_rate = 1.0/(base_failure_rate+np.log(grant_size))\n",
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"if np.random.rand() < likelihood:\n",
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" completed.append(j)\n",
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"elif np.random.rand() < failure_rate:\n",
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" failed.append(j)\n",
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"```\n",
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"With the base_completion_rate being 100 and the base_failure_rate as 200. \n",
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"\n",
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"The mechanism then updates the respective *network* nodes. "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"```\n",
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"{\n",
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" # proposals.py\n",
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" 'policies': {\n",
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" 'release': trigger_function \n",
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" },\n",
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" 'variables': { \n",
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" 'funds': decrement_funds, \n",
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" 'network': update_proposals \n",
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" }\n",
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"},\n",
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" ```\n",
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" \n",
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"The [trigger release function](model/model/proposals.py) checks to see if each proposal passes or not. If a proposal passes, funds are decremented by the amount of the proposal, while the proposal's status is changed in the network object."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"```\n",
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"{ \n",
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" # participants.py\n",
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" 'policies': { \n",
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" 'participants_act': participants_decisions\n",
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" },\n",
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" 'variables': {\n",
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" 'network': update_tokens \n",
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" }\n",
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"}\n",
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"```\n",
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"\n",
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"The Participants decide based on their affinity if which proposals they would like to support,[to see the logic code, click here](model/model/participants.py). Proposals that participants have high affinity for receive more support and pledged tokens than proposals with lower affinity and sentiment. We then update everyone's holdings and their conviction for each proposal.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Model next steps\n",
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"\n",
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"The the model described above is a minimalist model, first iteration model that covers the core mechanisms of the Aragon Conviction Voting model. Below are next additional dynamics we can attend to enrich the model, and provide workstreams for subsequent iterations of this lab notebook.\n",
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"* Sentiment\n",
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"* Mixing of token holdings among participants\n",
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"* Departure of participants\n",
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"* Participants influencing each others opinions\n",
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"* Proposals which are good or no good together\n",
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"* Multiple proposal stages such as killed, failed and completed\n",
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"* Affects of outcomes on sentiment"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Simulation"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Configuration\n",
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"let's factor out into its own notebook where we review the config object and its partial state update blocks, with a slightly deeper dive on the trigger function. "
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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": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
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" import pandas.util.testing as tm\n"
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]
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}
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],
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"source": [
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"from model import economyconfig"
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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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"# pull out configurations to illustrate\n",
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"sim_config,genesis_states,seeds,partial_state_update_blocks = economyconfig.get_configs()"
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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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{
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"data": {
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"text/plain": [
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"{'N': 1,\n",
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" 'T': range(0, 100),\n",
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" 'M': [{}],\n",
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" 'subset_id': 0,\n",
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" 'subset_window': deque([0, None]),\n",
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" 'simulation_id': 0,\n",
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" 'run_id': 0}"
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]
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},
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"execution_count": 3,
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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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"sim_config"
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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": 4,
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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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"[{'policies': {'random': <function model.model.system.driving_process(params, step, sL, s)>},\n",
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" 'variables': {'network': <function model.model.system.update_network(params, step, sL, s, _input)>,\n",
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" 'funds': <function model.model.system.increment_funds(params, step, sL, s, _input)>}},\n",
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" {'policies': {'completion': <function model.model.participants.check_progress(params, step, sL, s)>},\n",
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" 'variables': {'network': <function model.model.participants.complete_proposal(params, step, sL, s, _input)>}},\n",
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" {'policies': {'release': <function model.model.proposals.trigger_function(params, step, sL, s)>},\n",
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" 'variables': {'funds': <function model.model.proposals.decrement_funds(params, step, sL, s, _input)>,\n",
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" 'network': <function model.model.proposals.update_proposals(params, step, sL, s, _input)>}},\n",
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" {'policies': {'participants_act': <function model.model.participants.participants_decisions(params, step, sL, s)>},\n",
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" 'variables': {'network': <function model.model.participants.update_tokens(params, step, sL, s, _input)>}}]"
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]
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},
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"execution_count": 4,
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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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"partial_state_update_blocks"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Initialization\n",
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"To create the genesis_states, we create our in-memory graph database within networkx. "
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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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"# import libraries\n",
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"import networkx as nx\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"from model.model.conviction_helper_functions import * \n",
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"\n",
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"# Parameters\n",
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"n= 60 #initial participants\n",
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"m= 3 #initial proposals\n",
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"\n",
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"initial_sentiment = .6\n",
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"\n",
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"initial_funds = 40781.42\n",
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"\n",
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"def initialize_network(n,m, inital_funds, expected_supply = 10**6):\n",
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" '''\n",
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" Definition:\n",
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" Function to initialize network x object\n",
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" '''\n",
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" # initilize network x graph\n",
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" network = nx.DiGraph()\n",
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" # create participant nodes with type and token holding\n",
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" for i in range(n):\n",
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" network.add_node(i)\n",
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" network.nodes[i]['type']= \"participant\"\n",
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" \n",
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" h_rv = expon.rvs(loc=0.0, scale= expected_supply/n)\n",
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" network.nodes[i]['holdings'] = h_rv\n",
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" \n",
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" \n",
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" participants = get_nodes_by_type(network, 'participant')\n",
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" initial_supply = np.sum([ network.nodes[i]['holdings'] for i in participants])\n",
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" \n",
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" \n",
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" # Generate initial proposals\n",
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" for ind in range(m):\n",
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" j = n+ind\n",
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" network.add_node(j)\n",
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" network.nodes[j]['type']=\"proposal\"\n",
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" network.nodes[j]['conviction'] = 0\n",
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" network.nodes[j]['status'] = 'candidate'\n",
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" network.nodes[j]['age'] = 0\n",
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" \n",
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" r_rv = gamma.rvs(3,loc=0.001, scale=10000)\n",
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" network.nodes[j]['funds_requested'] = r_rv\n",
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" \n",
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" network.nodes[j]['trigger']= trigger_threshold(r_rv, initial_funds, initial_supply)\n",
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" \n",
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" for i in range(n):\n",
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" network.add_edge(i, j)\n",
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" \n",
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" rv = np.random.rand()\n",
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" a_rv = 1-4*(1-rv)*rv #polarized distribution\n",
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" network.edges[(i, j)]['affinity'] = a_rv\n",
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" network.edges[(i, j)]['tokens'] = 0\n",
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" network.edges[(i, j)]['conviction'] = 0\n",
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" network.edges[(i, j)]['type'] = 'support'\n",
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" \n",
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" proposals = get_nodes_by_type(network, 'proposal')\n",
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" total_requested = np.sum([ network.nodes[i]['funds_requested'] for i in proposals])\n",
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" \n",
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" \n",
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" return network, initial_funds\n",
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"\n",
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"# run the initialize_network function to create the initial states of the simulation\n",
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"network, initial_funds = initialize_network(n,m,initial_funds)\n",
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"\n",
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"\n",
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"# Create initial states\n",
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"genesis_states = { \n",
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" 'network':network,\n",
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" 'funds':initial_funds\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": 6,
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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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"{'network': <networkx.classes.digraph.DiGraph at 0x7fcd6ce570d0>,\n",
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" 'funds': 40781.42}"
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]
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},
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"execution_count": 6,
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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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"genesis_states"
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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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"# To explore our model prior to the simulation, we extract key components from our networkX object into lists.\n",
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"proposals = get_nodes_by_type(network, 'proposal')\n",
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"participants = get_nodes_by_type(network, 'participant')\n",
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"supporters = get_edges_by_type(network, 'support')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Exploring the State Data Structure\n",
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"\n",
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"A graph is a type of temporal data structure that evolves over time. A graph $\\mathcal{G}(\\mathcal{V},\\mathcal{E})$ consists of vertices or nodes, $\\mathcal{V} = \\{1...\\mathcal{V}\\}$ and is connected by edges $\\mathcal{E} \\subseteq \\mathcal{V} \\times \\mathcal{V}$.\n",
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"\n",
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"See *Schema of the states* above for more details\n",
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"\n",
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"\n",
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"Let's explore!"
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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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{
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"data": {
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"text/plain": [
|
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"{'type': 'participant', 'holdings': 9697.740122182277}"
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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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"#sample a participant\n",
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"network.nodes[participants[0]]"
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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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"Text(0.5, 1.0, 'Histogram of Participants Token Holdings')"
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]
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},
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"execution_count": 9,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Let's look at the distribution of participant holdings at the start of the sim\n",
|
|
"plt.hist([ network.nodes[i]['holdings'] for i in participants])\n",
|
|
"plt.title('Histogram of Participants Token Holdings')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'type': 'proposal',\n",
|
|
" 'conviction': 0,\n",
|
|
" 'status': 'candidate',\n",
|
|
" 'age': 0,\n",
|
|
" 'funds_requested': 17737.056586178944,\n",
|
|
" 'trigger': inf}"
|
|
]
|
|
},
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"#lets look at proposals\n",
|
|
"network.nodes[proposals[0]]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Proposals initially start without any conviction, and with the status of a candidate. If the proposal's amount of conviction is greater than it's trigger, then the proposal moves to active and it's funds requested are granted. "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"All initial proposal start with 0 conviction and state 'candidate'we can simply examine the amounts of funds requested"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Text(0.5, 0, 'Proposals')"
|
|
]
|
|
},
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.bar( proposals, [ network.nodes[i]['funds_requested'] for i in proposals])\n",
|
|
"plt.title('Histogram of Proposals Funds Requested')\n",
|
|
"plt.xlabel('Proposals')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Conviction is a concept that arises in the edges between participants and proposals in the initial conditions there are no votes yet so we can look at that later however, the voting choices are driven by underlying affinities which we can see now."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Text(0.5, 137.58, 'participant_id')"
|
|
]
|
|
},
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 1440x360 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"affinities = np.empty((n,m))\n",
|
|
"for i_ind in range(n):\n",
|
|
" for j_ind in range(m):\n",
|
|
" i = participants[i_ind]\n",
|
|
" j = proposals[j_ind]\n",
|
|
" affinities[i_ind][j_ind] = network.edges[(i,j)]['affinity']\n",
|
|
"\n",
|
|
"dims = (20, 5)\n",
|
|
"fig, ax = plt.subplots(figsize=dims)\n",
|
|
"\n",
|
|
"sns.heatmap(affinities.T,\n",
|
|
" xticklabels=participants,\n",
|
|
" yticklabels=proposals,\n",
|
|
" square=True,\n",
|
|
" cbar=True,\n",
|
|
" ax=ax)\n",
|
|
"\n",
|
|
"plt.title('affinities between participants and proposals')\n",
|
|
"plt.ylabel('proposal_id')\n",
|
|
"plt.xlabel('participant_id')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Run simulation\n",
|
|
"\n",
|
|
"Now we will create the final system configuration, append the genesis states we created, and run our simulation."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from cadCAD.configuration import Experiment\n",
|
|
"\n",
|
|
"# Create configuration\n",
|
|
"exp = Experiment()\n",
|
|
"\n",
|
|
"exp.append_configs(\n",
|
|
" sim_configs=sim_config,\n",
|
|
" initial_state=genesis_states,\n",
|
|
" seeds=seeds,\n",
|
|
" partial_state_update_blocks=partial_state_update_blocks\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
" ___________ ____\n",
|
|
" ________ __ ___/ / ____/ | / __ \\\n",
|
|
" / ___/ __` / __ / / / /| | / / / /\n",
|
|
"/ /__/ /_/ / /_/ / /___/ ___ |/ /_/ /\n",
|
|
"\\___/\\__,_/\\__,_/\\____/_/ |_/_____/\n",
|
|
"by cadCAD\n",
|
|
"\n",
|
|
"Execution Mode: local_proc\n",
|
|
"Configuration Count: 2\n",
|
|
"Dimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (100, 1, 1, 2)\n",
|
|
"Execution Method: local_simulations\n",
|
|
"SimIDs : [0, 1]\n",
|
|
"SubsetIDs: [0, 0]\n",
|
|
"Ns : [0, 0]\n",
|
|
"ExpIDs : [0, 0]\n",
|
|
"Total execution time: 65.18s\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import numpy as np\n",
|
|
"import pandas as pd\n",
|
|
"from model.model.conviction_helper_functions import *\n",
|
|
"from model import run\n",
|
|
"from cadCAD import configs\n",
|
|
"pd.options.display.float_format = '{:.2f}'.format\n",
|
|
"\n",
|
|
"%matplotlib inline\n",
|
|
"\n",
|
|
"# Pass in configuration to run\n",
|
|
"df = run.run(configs)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"After the simulation has run successfully, we perform some postprocessing to extract node and edge values from the network object and add as columns to the pandas dataframe. For the rdf, we take only the values at the last substep of each timestep in the simulation."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"df,rdf = run.postprocessing(df)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 1440x360 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"affinities_plot(df)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.legend.Legend at 0x7fcd6a2a0a10>"
|
|
]
|
|
},
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"rdf.plot(x='timestep',y=['candidate_count','active_count','completed_count', 'killed_count', 'failed_count'])\n",
|
|
"plt.title('Proposal Status')\n",
|
|
"plt.ylabel('count of proposals')\n",
|
|
"plt.legend(ncol = 3,loc='upper center', bbox_to_anchor=(0.5, -0.15))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.legend.Legend at 0x7fcd55176210>"
|
|
]
|
|
},
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"rdf.plot(x='timestep',y=['candidate_funds','active_funds','completed_funds', 'killed_funds', 'failed_funds'])\n",
|
|
"plt.title('Proposal Status weighted by funds requested')\n",
|
|
"plt.ylabel('Funds worth of proposals')\n",
|
|
"plt.legend(ncol = 3,loc='upper center', bbox_to_anchor=(0.5, -0.15))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"nets = rdf.network.values"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:563: MatplotlibDeprecationWarning: \n",
|
|
"The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n",
|
|
" if not cb.iterable(width):\n",
|
|
"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:569: MatplotlibDeprecationWarning: \n",
|
|
"The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n",
|
|
" and cb.iterable(edge_color) \\\n",
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"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:579: MatplotlibDeprecationWarning: \n",
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"The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n",
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" for c in edge_color]):\n",
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"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:660: MatplotlibDeprecationWarning: \n",
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"The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n",
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" if cb.iterable(node_size): # many node sizes\n"
|
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]
|
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},
|
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{
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"data": {
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"K = 3\n",
|
|
"snap_plot(nets[K:K+1], size_scale = 1/300)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"K = 56\n",
|
|
"snap_plot(nets[K:K+1], size_scale = 1/300)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.collections.LineCollection at 0x7fcd53dc53d0>"
|
|
]
|
|
},
|
|
"execution_count": 22,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"quantile_plot('timestep','conviction_share_of_trigger', rdf, .25)\n",
|
|
"plt.hlines(1,0,df.timestep.values[-1], linestyle='--')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Conclusion\n",
|
|
"\n",
|
|
"We have created a simplified conviction voting model that illustrates the state objects, and provides descriptions of how the model fits together. In subsequent notebooks, we will expand the model to introduce additional complexity to more fit real world implementations. "
|
|
]
|
|
}
|
|
],
|
|
"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": "3.7.5"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|