Aragon_Conviction_Voting/models/v3/Aragon_Conviction_Voting_Mo...

1768 lines
716 KiB
Plaintext
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Aragon Conviction Voting Model - Version 3\n",
"\n",
"New to this version 3 model are the following elements:\n",
"\n",
"* Adding the realism that not all participant tokens are being allocated to proposals at each timestep.\n",
"* Refactored parameters and system initialization to make more readable and consistent.\n",
"* Changed file structure and file names to align with emerging cadCAD standards.\n",
"* Making the distinction between effective and total supply.\n",
"* Refining alpha calculations to more accurately reflect the 1Hive implementation. Discussion of alpha and its relation to alpha in the contract and how it relates to the timescales\n",
"* Updated differential specification and write-up to respect new state variables\n",
"* Moved all unit denominations to Honey, the 1Hive governance token.\n",
"* Added system health metrics\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# An Introduction to Conviction Voting\n",
"\n",
"Conviction Voting is an approach to organizing a communities preferences into discrete decisions in the management of that communities resources. Strictly speaking conviction voting is less like voting and more like signal processing. Framing the approach and the initial algorithm design was done by Michael Zargham and published in a short research proposal [Social Sensor Fusion](https://github.com/BlockScience/conviction/blob/master/social-sensorfusion.pdf). This work is based on a dynamic resource allocation algorithm presented in Dr. Zargham's PhD Thesis.\n",
"\n",
"The work proceeded in collaboration with the Commons Stack, including expanding on the python implementation to makeup part of the Commons Simulator game. An implemention of Conviction Voting as a smart contract within the Aragon Framework was developed by 1Hive.org and is currently being used for community decision making for allocations of their community currency, Honey.\n",
"\n",
"\n",
"## The Word Problem\n",
"\n",
"Suppose a group of people want to coordinate to make a collective decision. Social dynamics such as discussions, signaling, and even changing ones mind based on feedback from others input play an important role in these processes. While the actual decision making process involves a lot of informal processes, in order to be fair the ultimate decision making process still requires a set of formal rules that the community collecively agrees to, which serves to functionally channel a plurality of preferences into a discrete outcomes. In our case we are interested in a procedure which supports asynchronous interactions, an provides visibility into likely outcomes prior to their resolution to serve as a driver of good faith, debate and healthy forms of coalition building. Furthermore, participations should be able to show support for multiple initiatives, and to vary the level of support shown. Participants have a quantity of signaling power which may be fixed or variable, homogenous or heterogenous. For the purpose of this document, we'll focus on the case where the discrete decisions to be made are decisions to allocate funds from a shared funding pool towards projects of interest to the community.\n",
"\n",
"## Converting to a Math Problem\n",
"\n",
"Let's start taking these words and constructing a mathematical representation that supports a design that meets the description above. To start we need to define participants.\n",
"\n",
"### Participants\n",
"Let $\\mathcal{A}$ be the set of participants. Consider a participant $a\\in \\mathcal{A}$. Any participant $a$ has some capacity to participate in the voting process through their token holdings $h[a]$. In a homogenous fixed token quantity system (like you might see in a democratic allocation of equal tokens per each participant), $h[a] = h$ for all $a\\in \\mathcal{A}$ where $h$ is a constant. The access control process managing how one becomes a participant determines the total supply of \"votes\" $S = \\sum_{a\\in \\mathcal{A}} = n\\cdot h$ where the number of participants is $n = |\\mathcal{A}|$. In a smart contract setting, the set $\\mathcal{A}$ is a set of addresses, and $h[a]$ is a quantity of tokens held by each address $a\\in \\mathcal{A}$. \n",
"\n",
"### Proposals & Shared Resources\n",
"Next, we introduce the idea of proposals. Consider a proposal $i\\in \\mathcal{C}$. Any proposal $i$ is associated with a request for resources $r[i]$. Those requested resources would be allocated from a constrained pool of communal resources currently totaling $R$. The pool of resources may become depleted because when a proposal $i$ passes the reserve is decremented by $R^+= R-r[i]$. Therefore it makes sense for us to consider what fraction of the shared resources are being request $\\mu_i = \\frac{r[i]}{R}$, which means that thre resource depletion from passing proposals can be bounded by requiring $\\mu_i < \\mu$ where $\\mu$ is a constant representing the maximum fraction of the shared resources which can be dispersed by any one proposal. In order for the system to be sustainable a source of new resources is required. In the case where $R$ is funding, new funding can come from revenues, donations, or in some DAO use cases minting tokens.\n",
"\n",
"### Participants Preferences for Proposals\n",
"\n",
"Most of the interesting information in this system is distributed amongst the participants and it manifests as preferences over the proposals. This can be visualized as a matrix $W\\in \\mathbb{R}^{n \\times m}$, with participants holding randomized affinities from -1 to +1 over all proposals.\n",
"![](https://i.imgur.com/Rk2BYKd.png)\n",
"\n",
"These private hidden signals drive discussions and voting actions. Each participant individually decides how to allocate their votes across the available proposals. Participant $a$ supports proposal $i$ by setting $x[a,i]>0$ but they are limited by their total token holdings $\\sum_{k\\in \\mathcal{C}} x[a,k] \\le h[a]$. Assuming each participant chooses a subset of the proposals to support, a support graph is formed.\n",
"![](https://i.imgur.com/KRh8tKn.png)\n",
"\n",
"## Aggregating Information\n",
"\n",
"In order to break out of the synchronous ad hoc voting model, a dynamical systems model of this system is introduced, which is explored further below.\n",
"\n",
"### Participants Allocate Voting Power\n",
"![](https://i.imgur.com/DZRDwk6.png)\n",
"\n",
"In the above diagram, we examine the participant view. Participant $a$ with holdings $h$ at time $t$ supports proposals $i$ and $j$ with $x$ conviction. The sum of all conviction asserted by participant $a$ is between 0 and the total holdings of participant $a$.\n",
"\n",
"### System Accounts Proposal Conviction\n",
"![](https://i.imgur.com/euAei5R.png)\n",
"\n",
"In the above diagram, we examine the proposal view. Proposal $j$ with total conviction $y$ at time $t$ is supported by participants $a$, $b$ and $c$ with $x$ conviction. The total conviction $y$ at time $t+1$ is equal to the total conviction at time $t$ decremented by an exponential decay $\\\\alpha$ plus the sum of all conviction from $k$ agents in time step $t$.\n",
"\n",
"### Understanding Alpha\n",
"Below are some graphs used to demonstrate, play with, and understand the shapes and choices for the $\\\\alpha$ parameter, which regulates the half life decay rate of the agent preference conviction growth and decay. Alpha from solidity code is defined as: \n",
"```uint256 _decay = 9999599; // 3 days halftime. halftime_alpha = (1/2)**(1/t)```\n",
"Half life associated with solidity code alpha (in number of blocks on xDai). \n",
"\n",
"The half-life of this system is defined by $T$ such that $y_T = y_0/2$ which satisfies the equation\n",
"\n",
"$\\frac{1}{2} = \\alpha^T$\n",
"\n",
"thus the Half life in epochs for a given $\\alpha$ is\n",
"\n",
"$T = \\log_\\alpha \\frac{1}{2} = -\\log_\\alpha 2$\n",
"\n",
"and conversely the $\\alpha$ which achieves a desired half-life $T$ is\n",
"\n",
"$\\alpha = 2^{-1/T} = \\frac{1}{\\sqrt[T]{2}}$\n",
"\n",
"Further note that the relationship between $T$ and $\\alpha$ is sensative to timescaling. Suppose we wanted a half-life of 3 days but our discrete time scale simulation has 1 day timesteps, then we must use $T = 3$ in the above equation to equal:\n",
"\n",
"$\\alpha = 2^{-1/3}$\n",
"\n",
"\n",
"See the [Deriving_Alpha](Deriving_Alpha.ipynb) notebook for more details around alpha and how it is derived.\n",
"\n",
"\n",
"## Converting Signals to Discrete Decisions\n",
"\n",
"Conviction can be considered like a fluctuating kinetic energy, with the Trigger function acting as a required activation energy for proposals to pass. This is the mechanism by which a continuous community preference turns into a discrete action event: passing a proposal. See [Trigger Function Explanation](Trigger_Function_Explanation.ipynb) for more details around the trigger function and how it works."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Resolving Passed Proposals\n",
"\n",
"![](images/stockflow_cv_trigger.png)\n",
"\n",
"This diagram shows the trigger function logic, which depends on token supply $S$, total resources available $R$ and total conviction $y$ at time $t$, as well as the proposal's requested resources $r$, the maximum share of funds a proposal can take ($\\beta$) and a tuning parameter for the trigger function ($\\rho$). Essentially, this function controls the maximum amount of funds that can be requested by a proposal ($\\beta$), using an equation resembling electron repulsion to ensure conviction increases massively beyond that point.\n",
"\n",
"## Social Systems Modeling\n",
"\n",
"In the conviction voting model, multiple graph structures are used to represent participants and proposals to represent a subjective, exploratory modeling of the social system interacting.\n",
"\n",
"### Sentiment\n",
"\n",
"Global Sentiment denotes the outside world appreciating the output of the community.\n",
"Local Sentiment denotes the agents within the system feeling good about the community.\n",
"Sentiment increases when proposals pass and work is completed in the community, and decreases when proposals fail and community progress stalls.\n",
"\n",
"### Relationships between Participants\n",
"\n",
"Edges from participant to participant denote influence (to represent subjective social influence) and are assigned randomly as mixing processes.\n",
"\n",
"### Relationships between Proposals\n",
"\n",
"Edges from proposal to proposal represent conflict, either positive or negative.\n",
"Some proposals are synergistic (passing one makes the other more desirable).\n",
"Some proposals are (partially) substitutable (passing one makes the other less desirable).\n",
"\n",
"\n",
"### Notion of Honey supply\n",
"#### Total supply = $S$\n",
"#### Effective supply = $E$\n",
"#### Funding Pool = $F$\n",
"#### Other supply = $L$, effectively slack. Funds could be in cold storage, in liquidity pools or otherwise in any address not actively participating in conviction voting.\n",
"$$S = F + E + L$$ \n",
"\n",
"System has the right to do direct mints:\n",
"$$F^+ = F + minted tokens$$\n",
"$$S^+ = S + minted tokens$$\n",
"\n",
"The system may also see the arrival of new funds which come from outside supply and are donated to the funding pool:\n",
"$$L^+ = L - donated tokens$$\n",
"$$F^+ = F + donated tokens$$\n",
"\n",
"When tokens are added to a liquidity pool or cold wallet and removed from staking on proposals:\n",
"$$L^+ = L + tokens$$ \n",
"$$E^+ = E - tokens$$ \n",
"\n",
"When tokens are removed from a liquidity pool or cold wallet and staked towards proposals:\n",
"$$L^+ = L - tokens$$ \n",
"$$E^+ = E + tokens$$\n",
"\n",
"Tokens in $L$ or $E$ are defined at the level of the account holding them.\n",
"\n",
"Total supply $S$ can be made a param and the state supply should be only $E$, effective supply."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## cadCAD Overview\n",
"\n",
"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, essentially views on a complex data structure. Metrics can often be thought of as KPIs, or Key Performance Indicators. cadCAD model is micro founded, metrics are macro or at the insitutional level. If you are interested in insitutional dynamics, see Dr. Zargham's recent paper: [Voshmgir, Shermin and Zargham, Michael (2019) Foundations of Cryptoeconomic Systems. Working Paper Series / Institute for Cryptoeconomics / Interdisciplinary Research, 1. Research Institute for Cryptoeconomics, Vienna.](https://epub.wu.ac.at/7309/)\n",
"\n",
"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",
"\n",
"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",
"\n",
"\n",
"## Differential Specification \n",
"![](images/Aragon_v3.png)\n",
"\n",
"## File structure\n",
"* ```Aragon_Conviction_Voting_Model.ipynb```\n",
"* model\n",
"\n",
"In the model folder there exist 4 files and folder, the [```config.py```](model/config.py), [```partial_state_update_block.py```](model/partial_state_update_block.py), [```run.py```](model/run.py), and [```state_variables.py```](model/state_variables.py). The [```config.py```](model/config.py) contains the simulation configurations, aggregating the partial states, and the state variables. The [```partial_state_update_block.py```](model/partial_state_update_block.py) contains the partial state update blocks and how they update the state variables. [```state_variables.py```](model/state_variables.py) defines the state variables and [```run.py```](model/run.py) actually runs the simulation.\n",
"\n",
"The mechanisms of the model live within the parts subfolder as:\n",
"* [```system.py```](model/parts/system.py)\n",
"* [```participants.py```](model/parts/participants.py)\n",
"* [```proposals.py```](model/parts/proposals.py)\n",
"\n",
"The initial parameters and hyperparameters of the system are defined in [```sys_params.py```](model/sys_params.py) and helper functions, plots, trigger function, etc are in the [```utils.py```](model/utils.py).\n",
"\n",
"### Note:\n",
"When running this notebook simulation, be sure to run from \"Kernal\" -> \"Restart & Run All\"\n",
"\n",
"## Schema of the states \n",
"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 *sentiment* and Proposals will have *funds_required, status*(candidate or active), *conviction* Tthe model as three kinds of edges:\n",
"* (Participant, participant), we labeled this edge type \"influencer\" and it contains information about how the preferences and sentiment of one participant influence another \n",
"* (Proposal, Proposal), we labeled this edge type \"conflict\" and it contains information about how synergistic or anti-synergistic two proposals are; basically people are likely to support multiple things that have synergy (meaning once one is passed there is more utility from the other) but they are not likely to pass things that have antisynergy (meaning once one is passed there is less utility from the other).\n",
"* The edges between Participant and Proposal, which are described below.\n",
" \n",
"\n",
"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",
"* Each pairing (i,j) will have *affinity*, which determines how much $i$ likes or dislikes proposal $j$.\n",
"* 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']```. This value of tokens for participants on proposals must be less than or equal to the total number of tokens held by the participant.\n",
"* 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",
"* 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",
"\n",
"\n",
"The other state variables in the model are *funds*, *sentiment*, *effective_supply*, *total_supply*, and the metrics variables of: *fractionOfSupplyForVoting*, *fractionOfSupplyInPool*, *fractionOfProposalStages*, *fractionOfFundStages*.\n",
"\n",
"The system consists of 100 time steps without a parameter sweep or monte carlo.\n",
"\n",
" \n",
"## Partial State Update Blocks \n",
"\n",
"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."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```\n",
"{\n",
"# system.py: \n",
"'policies': { \n",
" 'random': driving_process\n",
"},\n",
"'variables': {\n",
" 'network': update_network,\n",
" 'effective_supply':increment_supply,\n",
"}\n",
"```\n",
"\n",
"To simulate the arrival of participants and proposal into the system, we have a driving process to represent the arrival of individual agents. We use a random uniform distribution generator, over [0, 1), to calculate the number of new participants. We then use an exponential distribution to calculate the particpant's tokens by using a loc of 0.0 and a scale of expected holdings, which is calculated by .1*supply/number of existing participants. We calculate the number of new proposals by \n",
"```\n",
"proposal_rate = 1/median_affinity * (1+total_funds_requested/funds)\n",
"rv2 = np.random.rand()\n",
"new_proposal = bool(rv2<1/proposal_rate)\n",
"```\n",
"The network state variable is updated to include the new participants and proposals, while the *effective_supply state variable is updated for the additiona of new particpant's funds. \n",
"```\n",
" {\n",
" 'policies': { \n",
" 'random': minting_rule\n",
" },\n",
" 'variables': {\n",
" 'total_supply': mint_to_supply,\n",
" 'funds':mint_to_funds,\n",
"\n",
" }\n",
"},\n",
"```\n",
"A behavior called *minting_rule* is included to record the general expansion of system supply every day. The *total_supply* and *funds* state variables are incrased with these minted values.\n",
"[To see the partial state update's code, click here](model/parts/system.py)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```\n",
"{\n",
" # participants.py \n",
" 'policies': {\n",
" 'completion': check_progress \n",
" },\n",
" 'variables': { \n",
" 'sentiment': update_sentiment_on_completion, #not completing projects decays sentiment, completing bumps it\n",
" 'network': complete_proposal\n",
" }\n",
"},\n",
"```\n",
"\n",
"In the next phase of the turn, [to see the logic code, click here](model/parts/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",
"\n",
"```\n",
"likelihood = 1.0/(base_completion_rate+np.log(grant_size))\n",
"\n",
"failure_rate = 1.0/(base_failure_rate+np.log(grant_size))\n",
"if np.random.rand() < likelihood:\n",
" completed.append(j)\n",
"elif np.random.rand() < failure_rate:\n",
" failed.append(j)\n",
"```\n",
"With the base_completion_rate being 100 and the base_failure_rate as 200. \n",
"\n",
"The mechanism then updates the respective *network* nodes and updates the sentiment variable on proposal completion. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```\n",
" # proposals.py\n",
" 'policies': {\n",
" 'release': trigger_function \n",
" },\n",
" 'variables': { \n",
" 'funds': decrement_funds, \n",
" 'sentiment': update_sentiment_on_release, #releasing funds can bump sentiment\n",
" 'network': update_proposals \n",
" }\n",
"},\n",
" ```\n",
" \n",
"The [trigger release function](model/parts/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."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```\n",
"{ \n",
" # participants.py\n",
" 'policies': { \n",
" 'participants_act': participants_decisions\n",
" },\n",
" 'variables': {\n",
" 'network': update_tokens \n",
" }\n",
"}\n",
"```\n",
"\n",
"The Participants decide based on their affinity if which proposals they would like to support,[to see the logic code, click here](model/parts/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"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```\n",
" {\n",
" # metrics.py\n",
" 'policies': {\n",
" 'calculations': kpi_calculations\n",
" },\n",
" 'variables':{\n",
" 'fractionOfSupplyForVoting': kpi_fractionOfSupplyForVoting,\n",
" 'fractionOfSupplyInPool': kpi_fractionOfSupplyInPool,\n",
" 'fractionOfProposalStages':kpi_proposal_stages,\n",
" 'fractionOfFundStages': kpi_fractionOfFundStages\n",
" }\n",
" }\n",
"```\n",
"\n",
"In the Metrics section we create KPI's to calculate the system's health. To see the logic, [click here](model/parts/metrics.py)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Model next steps\n",
"\n",
"The the model described above is the third 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",
"\n",
"* Add a uniswap instance\n",
" * A next step to model the 1Hive ecosystem would be to model the Uniswap interface. With this interface, agents would be able to add or remove liquidity, buy or redeem Honey for more voting power, and ultimately enter or leave the system. \n",
"* Mixing of token holdings among participants\n",
" * Introducing heterogeneous token holdings would be another next step in creating a model more representative of the live system.\n",
"* Proposals which are good or no good together\n",
" * Introducing conflict \n",
"* Affects of outcomes on sentiment"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Simulation"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Configuration\n",
"Let's factor out into its own notebook where we review the config object and its partial state update blocks. We will initialize the network x object and pull out the simulation configuration, state_variables, and partial state update blocks from the [config.py](model/config.py)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/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",
" import pandas.util.testing as tm\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Params (config.py) : {'beta': 0.2, 'rho': 0.0025, 'alpha': 0.7937005259840998, 'gamma': 0.001, 'sensitivity': 0.75, 'tmin': 1, 'min_supp': 1, 'base_completion_rate': 45, 'base_failure_rate': 180, 'base_engagement_rate': 0.3, 'lowest_affinity_to_support': 0.3}\n"
]
}
],
"source": [
"from model import config\n",
"from model.parts.sys_params import initial_values\n",
"from model.parts.utils import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from copy import deepcopy\n",
"from cadCAD import configs\n",
"\n",
"# Initialize network x\n",
"for c in configs:\n",
" c.initial_state = deepcopy(c.initial_state)\n",
" c.initial_state['network'] = initialize_network(initial_values['n'],initial_values['m'],\n",
" initial_values['initial_funds'],\n",
" initial_values['supply'],c.sim_config['M'])\n",
" \n",
"# pull out configurations to illustrate\n",
"sim_config,state_variables,partial_state_update_blocks = config.get_configs()\n",
"state_variables['network'] = c.initial_state['network']"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'policies': {'random': <function model.parts.system.driving_process(params, step, sL, s)>},\n",
" 'variables': {'network': <function model.parts.system.update_network(params, step, sL, s, _input)>,\n",
" 'effective_supply': <function model.parts.system.increment_supply(params, step, sL, s, _input)>}},\n",
" {'policies': {'random': <function model.parts.system.minting_rule(params, step, sL, s)>},\n",
" 'variables': {'total_supply': <function model.parts.system.mint_to_supply(params, step, sL, s, _input)>,\n",
" 'funds': <function model.parts.system.mint_to_funds(params, step, sL, s, _input)>}},\n",
" {'policies': {'completion': <function model.parts.participants.check_progress(params, step, sL, s)>},\n",
" 'variables': {'sentiment': <function model.parts.participants.update_sentiment_on_completion(params, step, sL, s, _input)>,\n",
" 'network': <function model.parts.participants.complete_proposal(params, step, sL, s, _input)>}},\n",
" {'policies': {'release': <function model.parts.proposals.trigger_function(params, step, sL, s)>},\n",
" 'variables': {'funds': <function model.parts.proposals.decrement_funds(params, step, sL, s, _input)>,\n",
" 'sentiment': <function model.parts.proposals.update_sentiment_on_release(params, step, sL, s, _input)>,\n",
" 'network': <function model.parts.proposals.update_proposals(params, step, sL, s, _input)>}},\n",
" {'policies': {'participants_act': <function model.parts.participants.participants_decisions(params, step, sL, s)>},\n",
" 'variables': {'network': <function model.parts.participants.update_tokens(params, step, sL, s, _input)>}},\n",
" {'policies': {'calculations': <function model.parts.metrics.kpi_calculations(params, step, sL, s)>},\n",
" 'variables': {'fractionOfSupplyForVoting': <function model.parts.metrics.kpi_fractionOfSupplyForVoting(params, step, sL, s, _input)>,\n",
" 'fractionOfSupplyInPool': <function model.parts.metrics.kpi_fractionOfSupplyInPool(params, step, sL, s, _input)>,\n",
" 'fractionOfProposalStages': <function model.parts.metrics.kpi_proposal_stages(params, step, sL, s, _input)>,\n",
" 'fractionOfFundStages': <function model.parts.metrics.kpi_fractionOfFundStages(params, step, sL, s, _input)>}}]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partial_state_update_blocks"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Parameters\n",
"\n",
"Initial values are the starting values for the simulation."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'initial_sentiment': 0.6,\n",
" 'n': 30,\n",
" 'm': 7,\n",
" 'initial_funds': 4867.21,\n",
" 'supply': 22392.22}"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"initial_values"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"$n$ is initial participants, whereas $m$ is initial proposals.\n",
"\n",
"Sim_config holds the global hyperparameters for the simulations"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'beta': 0.2,\n",
" 'rho': 0.0025,\n",
" 'alpha': 0.7937005259840998,\n",
" 'gamma': 0.001,\n",
" 'sensitivity': 0.75,\n",
" 'tmin': 1,\n",
" 'min_supp': 1,\n",
" 'base_completion_rate': 45,\n",
" 'base_failure_rate': 180,\n",
" 'base_engagement_rate': 0.3,\n",
" 'lowest_affinity_to_support': 0.3}"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sim_config[0]['M']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Initial state variable values"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'network': <networkx.classes.digraph.DiGraph at 0x7f0fb34a0690>,\n",
" 'funds': 4867.21,\n",
" 'sentiment': 0.6,\n",
" 'effective_supply': 14020.008000000002,\n",
" 'total_supply': 22392.22,\n",
" 'fractionOfSupplyForVoting': 0,\n",
" 'fractionOfSupplyInPool': 0,\n",
" 'fractionOfProposalStages': 0,\n",
" 'fractionOfFundStages': 0}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"state_variables"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Hyperparameter explanations:\n",
"* $\\beta$ = .2 Upper bound on share of funds dispersed in the example Trigger Function\n",
"* $\\rho$ = 0.002 Scale Parameter for the example Trigger Function\n",
"* $\\alpha$ : 0.79370 timescale set in days with 3 day halflife\n",
"* $\\gamma$: 0.001 The expansion of supply per per day\n",
"* sensitivity of participant decisions to changes in affinity \n",
"* tmin = 1 unit days; minimum periods passed before a proposal can pass\n",
"* min_supp = 50 number of tokens that must be stake for a proposal to be a candidate\n",
"* base_completion_rate': 45, # expected number of days to complete a proposals.\n",
"* base_failure_rate': [180], # expected number of days until a proposal will fail\n",
"* base_engagement_rate' :[0.3], # Probability of being active on a certain day if 100% sentiment\n",
"* lowest_affinity_to_support': [0.3],# lowest affinity to required to support a proposal\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Exploring the State Data Structure\n",
"\n",
"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",
"\n",
"See *Schema of the states* above for more details\n",
"\n",
"\n",
"Let's explore!"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# To explore our model prior to the simulation, we extract key components from our networkX object into lists.\n",
"proposals = get_nodes_by_type(state_variables['network'], 'proposal')\n",
"participants = get_nodes_by_type(state_variables['network'], 'participant')\n",
"supporters = get_edges_by_type(state_variables['network'], 'support')\n",
"influencers = get_edges_by_type(state_variables['network'], 'influence')\n",
"competitors = get_edges_by_type(state_variables['network'], 'conflict')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'type': 'participant',\n",
" 'holdings': 843.3039570779335,\n",
" 'sentiment': 0.05793649974381376}"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#sample a participant\n",
"state_variables['network'].nodes[participants[0]]"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Count of Participants')"
]
},
"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([ state_variables['network'].nodes[i]['holdings'] for i in participants])\n",
"plt.title('Histogram of Participants Token Holdings')\n",
"plt.xlabel('Amount of Honey')\n",
"plt.ylabel('Count of Participants')\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"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:660: MatplotlibDeprecationWarning: \n",
"The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n",
" if cb.iterable(node_size): # many node sizes\n"
]
},
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Participants Social Network')"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"nx.draw_spring(state_variables['network'], nodelist = participants, edgelist=influencers)\n",
"plt.title('Participants Social Network')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'type': 'proposal',\n",
" 'conviction': 0,\n",
" 'status': 'candidate',\n",
" 'age': 0,\n",
" 'funds_requested': 1969.0532112636276,\n",
" 'trigger': inf}"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#lets look at proposals\n",
"state_variables['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": 12,
"metadata": {},
"outputs": [],
"source": [
"funds_array = np.array([ state_variables['network'].nodes[i]['funds_requested'] for i in proposals])\n",
"conviction_required = np.array([trigger_threshold(r, initial_values['initial_funds'], initial_values['supply'], sim_config[0]['M']['alpha'],sim_config[0]['M']) for r in funds_array])"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Amount of Honey requested(as a Fraction of Funds available)')"
]
},
"execution_count": 13,
"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, funds_array/initial_values['initial_funds'])\n",
"plt.title('Bar chart of Proposals Funds Requested')\n",
"plt.xlabel('Proposal identifier')\n",
"plt.ylabel('Amount of Honey requested(as a Fraction of Funds available)')"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Amount of Conviction')"
]
},
"execution_count": 14,
"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, conviction_required)\n",
"plt.title('Bar chart of Proposals Conviction Required')\n",
"plt.xlabel('Proposal identifier')\n",
"plt.ylabel('Amount of Conviction')"
]
},
{
"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": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 55.73999999999998, 'Participant_id')"
]
},
"execution_count": 15,
"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": [
"m = len(proposals)\n",
"n = len(participants)\n",
"\n",
"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] = state_variables['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",
" cmap = plt.cm.RdYlGn,\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": 16,
"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=state_variables,\n",
" seeds=1,\n",
" partial_state_update_blocks=partial_state_update_blocks\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"tags": []
},
"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, 11, 1, 9)\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: 340.00s\n"
]
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from model import run\n",
"pd.options.display.float_format = '{:.2f}'.format\n",
"\n",
"%matplotlib inline\n",
"\n",
"rdf = run.run()\n"
]
},
{
"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": 18,
"metadata": {},
"outputs": [],
"source": [
"df= run.postprocessing(rdf,0)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>network</th>\n",
" <th>funds</th>\n",
" <th>sentiment</th>\n",
" <th>effective_supply</th>\n",
" <th>total_supply</th>\n",
" <th>fractionOfSupplyForVoting</th>\n",
" <th>fractionOfSupplyInPool</th>\n",
" <th>fractionOfProposalStages</th>\n",
" <th>fractionOfFundStages</th>\n",
" <th>simulation</th>\n",
" <th>...</th>\n",
" <th>age_all</th>\n",
" <th>conviction_all</th>\n",
" <th>triggers_all</th>\n",
" <th>conviction_share_of_trigger_all</th>\n",
" <th>percentageOfActiveProposals</th>\n",
" <th>percentageOfCompletedProposals</th>\n",
" <th>percentageOfKilledProposals</th>\n",
" <th>percentageOfActiveFundsRequested</th>\n",
" <th>percentageOfCompletedFundsRequested</th>\n",
" <th>percentageOfKilledFundsRequested</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
" <td>4889.60</td>\n",
" <td>0.60</td>\n",
" <td>14020.01</td>\n",
" <td>22414.61</td>\n",
" <td>0.63</td>\n",
" <td>4.58</td>\n",
" <td>{'percentageOfActive': 0.0, 'percentageOfCompl...</td>\n",
" <td>{'percentageOfActiveFundsRequested': 0.0, 'per...</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>[1, 1, 1, 1, 1, 1, 1]</td>\n",
" <td>[14.476783902282108, 0.0, 0.0, 0.0, 1283.56379...</td>\n",
" <td>[inf, inf, 5989.62490258281, inf, 113833.38387...</td>\n",
" <td>[0.0, 0.0, 0.0, 0.0, 0.011275811677558407, 0.0...</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.57</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.65</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
" <td>4912.02</td>\n",
" <td>0.60</td>\n",
" <td>14020.01</td>\n",
" <td>22437.03</td>\n",
" <td>0.62</td>\n",
" <td>4.57</td>\n",
" <td>{'percentageOfActive': 0.0, 'percentageOfCompl...</td>\n",
" <td>{'percentageOfActiveFundsRequested': 0.0, 'per...</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>[2, 2, 2, 2, 2, 2, 2, 1]</td>\n",
" <td>[1542.5742485142007, 0.0, 0.0, 0.0, 2525.57381...</td>\n",
" <td>[inf, nan, nan, nan, 109600.33324294, 543311.7...</td>\n",
" <td>[0.0, nan, nan, nan, 0.02304348663209985, 0.00...</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.50</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.63</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
" <td>4934.45</td>\n",
" <td>0.60</td>\n",
" <td>14020.01</td>\n",
" <td>22459.46</td>\n",
" <td>0.62</td>\n",
" <td>4.55</td>\n",
" <td>{'percentageOfActive': 0.0, 'percentageOfCompl...</td>\n",
" <td>{'percentageOfActiveFundsRequested': 0.0, 'per...</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>[3, 3, 3, 3, 3, 3, 3, 2, 1]</td>\n",
" <td>[2755.4260099316493, 0.0, 0.0, 0.0, 3511.35781...</td>\n",
" <td>[inf, nan, nan, nan, 105630.7288039029, 495583...</td>\n",
" <td>[0.0, nan, nan, nan, 0.033241821349506026, 0.0...</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.44</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.63</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
" <td>4956.91</td>\n",
" <td>0.60</td>\n",
" <td>14020.01</td>\n",
" <td>22481.92</td>\n",
" <td>0.62</td>\n",
" <td>4.54</td>\n",
" <td>{'percentageOfActive': 0.0, 'percentageOfCompl...</td>\n",
" <td>{'percentageOfActiveFundsRequested': 0.0, 'per...</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>[4, 4, 4, 4, 4, 4, 4, 3, 2, 1]</td>\n",
" <td>[4006.660283246712, 0.0, 0.0, 0.0, 4408.618808...</td>\n",
" <td>[inf, nan, nan, nan, 101902.5671305297, 454195...</td>\n",
" <td>[0.0, nan, nan, nan, 0.043263078965321534, 0.0...</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.50</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.64</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
" <td>4979.40</td>\n",
" <td>0.60</td>\n",
" <td>14020.01</td>\n",
" <td>22504.41</td>\n",
" <td>0.62</td>\n",
" <td>4.52</td>\n",
" <td>{'percentageOfActive': 0.0, 'percentageOfCompl...</td>\n",
" <td>{'percentageOfActiveFundsRequested': 0.0, 'per...</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>[5, 5, 5, 5, 5, 5, 5, 4, 3, 2, 1]</td>\n",
" <td>[4999.66008365604, 0.0, 0.0, 0.0, 6796.5002140...</td>\n",
" <td>[inf, nan, nan, nan, 98396.120535618, 418060.1...</td>\n",
" <td>[0.0, nan, nan, nan, 0.06907284735510053, 0.02...</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.45</td>\n",
" <td>0.00</td>\n",
" <td>0.00</td>\n",
" <td>0.62</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 43 columns</p>\n",
"</div>"
],
"text/plain": [
" network funds sentiment \\\n",
"6 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4889.60 0.60 \n",
"12 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4912.02 0.60 \n",
"18 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4934.45 0.60 \n",
"24 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4956.91 0.60 \n",
"30 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4979.40 0.60 \n",
"\n",
" effective_supply total_supply fractionOfSupplyForVoting \\\n",
"6 14020.01 22414.61 0.63 \n",
"12 14020.01 22437.03 0.62 \n",
"18 14020.01 22459.46 0.62 \n",
"24 14020.01 22481.92 0.62 \n",
"30 14020.01 22504.41 0.62 \n",
"\n",
" fractionOfSupplyInPool fractionOfProposalStages \\\n",
"6 4.58 {'percentageOfActive': 0.0, 'percentageOfCompl... \n",
"12 4.57 {'percentageOfActive': 0.0, 'percentageOfCompl... \n",
"18 4.55 {'percentageOfActive': 0.0, 'percentageOfCompl... \n",
"24 4.54 {'percentageOfActive': 0.0, 'percentageOfCompl... \n",
"30 4.52 {'percentageOfActive': 0.0, 'percentageOfCompl... \n",
"\n",
" fractionOfFundStages simulation ... \\\n",
"6 {'percentageOfActiveFundsRequested': 0.0, 'per... 0 ... \n",
"12 {'percentageOfActiveFundsRequested': 0.0, 'per... 0 ... \n",
"18 {'percentageOfActiveFundsRequested': 0.0, 'per... 0 ... \n",
"24 {'percentageOfActiveFundsRequested': 0.0, 'per... 0 ... \n",
"30 {'percentageOfActiveFundsRequested': 0.0, 'per... 0 ... \n",
"\n",
" age_all \\\n",
"6 [1, 1, 1, 1, 1, 1, 1] \n",
"12 [2, 2, 2, 2, 2, 2, 2, 1] \n",
"18 [3, 3, 3, 3, 3, 3, 3, 2, 1] \n",
"24 [4, 4, 4, 4, 4, 4, 4, 3, 2, 1] \n",
"30 [5, 5, 5, 5, 5, 5, 5, 4, 3, 2, 1] \n",
"\n",
" conviction_all \\\n",
"6 [14.476783902282108, 0.0, 0.0, 0.0, 1283.56379... \n",
"12 [1542.5742485142007, 0.0, 0.0, 0.0, 2525.57381... \n",
"18 [2755.4260099316493, 0.0, 0.0, 0.0, 3511.35781... \n",
"24 [4006.660283246712, 0.0, 0.0, 0.0, 4408.618808... \n",
"30 [4999.66008365604, 0.0, 0.0, 0.0, 6796.5002140... \n",
"\n",
" triggers_all \\\n",
"6 [inf, inf, 5989.62490258281, inf, 113833.38387... \n",
"12 [inf, nan, nan, nan, 109600.33324294, 543311.7... \n",
"18 [inf, nan, nan, nan, 105630.7288039029, 495583... \n",
"24 [inf, nan, nan, nan, 101902.5671305297, 454195... \n",
"30 [inf, nan, nan, nan, 98396.120535618, 418060.1... \n",
"\n",
" conviction_share_of_trigger_all \\\n",
"6 [0.0, 0.0, 0.0, 0.0, 0.011275811677558407, 0.0... \n",
"12 [0.0, nan, nan, nan, 0.02304348663209985, 0.00... \n",
"18 [0.0, nan, nan, nan, 0.033241821349506026, 0.0... \n",
"24 [0.0, nan, nan, nan, 0.043263078965321534, 0.0... \n",
"30 [0.0, nan, nan, nan, 0.06907284735510053, 0.02... \n",
"\n",
" percentageOfActiveProposals percentageOfCompletedProposals \\\n",
"6 0.00 0.00 \n",
"12 0.00 0.00 \n",
"18 0.00 0.00 \n",
"24 0.00 0.00 \n",
"30 0.00 0.00 \n",
"\n",
" percentageOfKilledProposals percentageOfActiveFundsRequested \\\n",
"6 0.57 0.00 \n",
"12 0.50 0.00 \n",
"18 0.44 0.00 \n",
"24 0.50 0.00 \n",
"30 0.45 0.00 \n",
"\n",
" percentageOfCompletedFundsRequested percentageOfKilledFundsRequested \n",
"6 0.00 0.65 \n",
"12 0.00 0.63 \n",
"18 0.00 0.63 \n",
"24 0.00 0.64 \n",
"30 0.00 0.62 \n",
"\n",
"[5 rows x 43 columns]"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f0fce14f4d0>"
]
},
"execution_count": 20,
"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": [
"df.plot('timestep','sentiment')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The above plot demonstrates system sentiment changing over time as proposals pass or fail."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f0fcae80cd0>"
]
},
"execution_count": 21,
"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": [
"df.plot('timestep',['funds', 'candidate_funds'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Funds represent the total available funds, whereas candidate funds represent total funds requested by candidate proposals."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 612x792 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"affinities_plot(df)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The above matrix represents participant affinities towards proposals, ranging from -1 to +1."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7f0f7b89d450>"
]
},
"execution_count": 23,
"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": [
"df.plot(x='timestep',y=['candidate_count','active_count','completed_count', 'killed_count', 'failed_count'],\n",
" kind='area')\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": "markdown",
"metadata": {},
"source": [
"The above graph shows the number of various types of proposals at a range of timesteps. Ecosystems with more completed proposals will have higher overall agent sentiment than systems with more failed and killed proposals."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7f0f79f02450>"
]
},
"execution_count": 24,
"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": [
"df.plot(x='timestep',y=['candidate_funds','active_funds','completed_funds', 'killed_funds', 'failed_funds'], kind='area')\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": "markdown",
"metadata": {},
"source": [
"The above graph shows the amount of funds requested by various types of proposals at a range of timesteps."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"nets = df.network.values"
]
},
{
"cell_type": "code",
"execution_count": 26,
"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",
"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:579: MatplotlibDeprecationWarning: \n",
"The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n",
" for c in edge_color]):\n",
"/home/aclarkdata/anaconda3/lib/python3.7/site-packages/networkx/drawing/nx_pylab.py:660: MatplotlibDeprecationWarning: \n",
"The iterable function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use np.iterable instead.\n",
" if cb.iterable(node_size): # many node sizes\n",
"/home/aclarkdata/repos/Aragon_Conviction_Voting/models/v3/model/parts/utils.py:356: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
" plt.tight_layout()\n"
]
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"K = 0\n",
"N = 1\n",
"\n",
"snap_plot(nets[K:N], size_scale = 1/300,savefigs=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"On the left side are participants, with the right side of the graph being the proposals. With this graph, we can see the links between the participants and the proposals that they support. The percentage on the right hand are the the amount of the required amount to pass that has been fulfilled.\n",
"\n",
"You can move the K and N to different points within the 100 timesteps, 0 indexed, to see how the model evolves overtime. \n",
"\n",
"As you can see with the plot above at the start of the simulation, no proposals have been formally supported yet. Below we can see a many interactions between agents and proposals."
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"snap_plot(nets[80:81], size_scale = 1/300,savefigs=True)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f0fa9d923d0>"
]
},
"execution_count": 28,
"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": [
"df.plot('timestep',['effective_supply'])"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f0faa986490>"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEGCAYAAABrQF4qAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nO3deXxV9bnv8c9DyMQ8BK0yhUkcoKJGiqCotFZaKeg99kjVXntv1ZfVqve2HlvbW7UO59ijt1Vv9ZzSHqu2VOtxwtKe9jhAIopCUEAUs8MQNICyEwYZkpDhuX/sFU+EHbIz7Ozstb/v12u/2GvtNTwrKzx75bd+6/mZuyMiIuHVK9UBiIhIcinRi4iEnBK9iEjIKdGLiIScEr2ISMj1TnUAhyooKPDCwsJUhyEiklZWrVpV5e7D4n3W4xJ9YWEhpaWlqQ5DRCStmNmW1j5T042ISMgp0YuIhJwSvYhIyPW4Nvp46uvrqayspLa2NtWhSJLl5eUxYsQIsrOzUx2KSGikRaKvrKykf//+FBYWYmapDkeSxN2prq6msrKSMWPGpDockdBIi6ab2tpahg4dqiQfcmbG0KFD9ZebSBdLi0QPKMlnCJ1nka6XNoleRCTMnllVyR9XfpCUbSvRi4j0AL9+dROLVm9LyraV6LvJ888/z3vvvffp9K233spLL73U6vKlpaXccMMNXR7Ho48+yrZtyfllStShPwuRTPfRnlre/2gvZx8Xt4JBpynRd4OGhobDktsdd9zBl770pVbXKSoq4sEHH+zyWJToRXqekkgUgJlJSvQJd680syygFNjq7nPM7FWgf/DxUcAKd78wznqNwDvB5AfuPrczAf/0T+/y3rZPOrOJw5x47ABu+9pJR1ymoqKC2bNnc9ppp/HWW29x0kkn8fjjj3Pffffxpz/9iZqaGqZPn86vfvUrzIxzzjmHKVOmsGzZMi666CJeeOEFiouLueuuu3jmmWe48847mTNnDhdffDErV67kxhtvZP/+/eTm5vLyyy+zatUq7rvvPhYvXsztt9/Oxo0b2bBhA1VVVdx8881cddVV7Nu3j3nz5rFr1y7q6+u56667mDdvHhUVFXzlK1/hzDPP5PXXX2f48OEsWrSIP//5z5SWlnLZZZeRn5/P8uXLyc/PP+xY48WTnZ3Nd77zHUpLS+nduzc///nPOffcc3n00UcpLS3ll7/8JQBz5szhpptu4pxzzqFfv37ceOONLF68mPz8fBYtWsTGjRsP+1mMGzeuS8+nSLopLo9yVP9cjv9c/7YX7oD2XNHfCKxvnnD3s9x9irtPAZYDz7ayXk3zcp1N8qlWVlbGtddey/r16xkwYAAPP/ww3/3ud1m5ciXr1q2jpqaGxYsXf7r8wYMHKS0t5cc//jFz587l3nvvZfXq1Z9JbAcPHuSSSy7hgQceYM2aNbz00ktxk+/atWt55ZVXWL58OXfccQfbtm0jLy+P5557jrfeeoslS5bw/e9/n+YxgMvLy7nuuut49913GTRoEM888wwXX3wxRUVFLFy4kNWrV8fdT2vxPPTQQ5gZ77zzDk888QRXXHFFm90g9+/fz7Rp01izZg0zZ87k17/+NdOnT2/1ZyGSiRoam1hWXsXZxw1LWq+zhK7ozWwEcAFwN/C9Qz4bAMwC/keXRxdHW1feyTRy5EhmzJgBwOWXX86DDz7ImDFj+Od//mcOHDjAzp07Oemkk/ja174GwCWXXNLmNsvKyjjmmGM4/fTTARgwYEDc5ebNm0d+fj75+fmce+65rFixggsuuIAf/ehHlJSU0KtXL7Zu3crHH38MwJgxY5gyZQoAp512GhUVFQkdY2vxLFu2jOuvvx6A448/ntGjRxOJRI64rZycHObMmfNpDC+++GJCMYhkkjWVe9hTU8/ZE5PTbAOJN93cD9zMfzXVtHQh8LK7t9aekmdmpUADcI+7P3/oAmZ2NXA1wKhRoxIMqfsd+m1rZlx77bWUlpYycuRIbr/99s9c5fbt2zep+164cCHRaJRVq1aRnZ1NYWHhp/vPzc39dNmsrCxqamq6LJaWevfuTVNT06fTLY8/Ozv707izsrJoaGhISgwi6awkEqWXwZnjC5K2jzabbsxsDrDD3Ve1ssg3gCeOsInR7l4EXArcb2aH/a3u7gvcvcjdi4YNS963Wmd98MEHLF++HIA//OEPnHnmmQAUFBSwb98+nn766VbX7d+/P3v37j1s/sSJE9m+fTsrV64EYO/evXET4qJFi6itraW6upqlS5dy+umns2fPHo466iiys7NZsmQJW7a0Wo66zTjaiuess85i4cKFAEQiET744AMmTpxIYWEhq1evpqmpiQ8//JAVK1Z0OgaRTFIciXLyyEEM6pOTtH0k0kY/A5hrZhXAk8AsM/s9gJkVAFOBP7e2srtvDf7dBCwFTulcyKkzceJEHnroIU444QR27drFd77zHa666iomTZrE+eef/2lzRzzz58/n3nvv5ZRTTmHjxo2fzs/JyeGPf/wj119/PSeffDLnnXde3Lbvz3/+85x77rlMmzaNn/zkJxx77LFcdtlllJaWMnnyZB5//HGOP/74No/hW9/6Ftdccw1TpkyJe5XfWjzXXnstTU1NTJ48mUsuuYRHH32U3NxcZsyYwZgxYzjxxBO54YYbOPXUU9uMobWfhUim2bX/IGsqdyetW2Uza755l9DCZucAN7n7nGD6GuAMd7+ileUHAwfcvS74UlgOzHP3VvvWFRUV+aEjTK1fv54TTjgh4TiToaKigjlz5rBu3bpu3/ftt99Ov379uOmmm7p936nQE863SHd4Yc02bnjibZ69djqnjhrcqW2Z2aqg9eQwna1eOR+455CdFQHXuPuVwAnAr8ysidhfD/ccKcmLiPQU1fvqeGz5Fhoam9peuINe21jNwPxsTh4xKGn7gHYmendfSqz5pXn6nDjLlAJXBu9fByZ3JsCeorCwMCVX8xC7ok+Giy66iM2bN39m3s9+9jPOP//8pOxPJJ387o0tPPhyOdlZyS20d/m00WT1Su4+0qIePcRqlauyYdd67rnnUh3CYdrTlCiSTMWRKFNGDuL562akOpROS4sSCHl5eVRXVysJhFzzwCN5eXmpDkUy3O4DB1nz4e6klSTobmlxRT9ixAgqKyuJRqOpDkWSrHkoQZFUWrahiiYn6b1huktaJPrs7GwNLSci3aa4LBrcJB2Y6lC6RFo03YiIdBd3p6Q8ypnjC+idFY4UGY6jEBHpImUf7+XjT+pC02wDSvQiIp9RXBa7F3jWccmrPdPdlOhFRFooKY8y8ej+HDPw8DLe6UqJXkQksL+ugZWbdyW1ZHAqpEWvGxHpmV7fWMXSsvB0e/74k1oONjYxc4ISvYgIAD95fh0V1QfICUnvFIDxR/WjqLBzBcZ6GiV6EemQD3ceYGN0P//nghO48qyxqQ5HjiA8X8Mi0q1KymNNNueErD07jJToRaRDSiJRhg/KZ9ywfqkORdqgRC8i7Vbf2MRrG6qZeVyBqsqmASV6EWm3t7bsYl9dQ6ieHg0zJXoRabeS8ihZvYzp48Pz9GiYKdGLSLsVR6KcOmoQA/KyUx2KJCDhRG9mWWb2tpktDqYfNbPNZrY6eE1pZb0rzKw8eMUdRFxE0kd0bx3rtn6iZps00p5+9DcC64EBLeb9g7s/3doKZjYEuA0oAhxYZWYvuPuujgQrIqm3bEOsW+XZxx2V4kgkUQklejMbAVwA3A18rx3bPx940d13Btt5EZgNPNHOOEWkE2oONvLLJeUcONjY6W29uWknQ/vmcNKxA9peWHqERK/o7wduBvofMv9uM7sVeBn4obvXHfL5cODDFtOVwbzPMLOrgasBRo0alWBIIpKo/1i3nYeWbKR/bm/ogt6Q35w2ml691K0yXbSZ6M1sDrDD3VeZ2TktProF+AjIARYAPwDu6EgQ7r4g2AZFRUUaAVykixVHohT0y2XFj76oBJ2BErkZOwOYa2YVwJPALDP7vbtv95g64LfA1DjrbgVGtpgeEcwTkW7S1OS8Wl7FzAkFSvIZqs1E7+63uPsIdy8E5gOvuPvlZnYMgMUei7sQWBdn9b8BXzazwWY2GPhyME9Eusm6bXvYuf9g6GqsS+I6U71yoZkNI9bitxq4BsDMioBr3P1Kd99pZncCK4N17mi+MSsi3aO4LIoZnKmHmzJWuxK9uy8FlgbvZ7WyTClwZYvpR4BHOhyhiHRKcSTK5OEDGdovN9WhSIroyViRENtTU8/bH+4O3YhJ0j5K9CIh9vqGKhqbXO3zGU6JXiTEiiNR+uf15pSRg1IdiqSQEr1ISLk7xZEoM8YV0DtEY7pK+2nMWJEQ+WhPLQtKNtHQ1ERtfSPb99RywxfVbJPplOhFQuR3b1TwyGubGdwnVj541JA+fPEEFR/LdEr0IiFSEqliauEQnrrmjFSHIj2IGu5EQqJqXx3vbN3DzOP0YJR8lhK9SEi8Wq468RKfEr1ISBSXRVUnXuJSohcJgeYKlWepQqXEoUQvEgLvbvuEalWolFYo0YuEQHFkBwBnqaaNxKFELxICJZEqJg0fQIEqVEocSvQiae6T2npWfbBLFSqlVXpgSiRNlFbs5Jm3Dh+JM7q3Nlah8jgleolPiV4kTdz3n2W8tWU3A4PyBi2dMmoQp44enIKoJB0o0YukgX11DZRW7OLKs8byw68cn+pwJM0k3EZvZllm9raZLQ6mF5pZmZmtM7NHzOzwy4zYco1mtjp4vdBVgYtkktc3VNGg5hnpoPbcjL0RWN9ieiFwPDAZyKfFOLGHqHH3KcFrbsfCFMlsJeVR+uZkcZqaZ6QDEkr0ZjYCuAD4TfM8d/+LB4AVwIjkhCiS2dydpWVRzhhXQE5vdZST9kv0t+Z+4Gag6dAPgiabbwJ/bWXdPDMrNbM3zOzCjoUpkrk2V+2ncleNnnqVDmsz0ZvZHGCHu69qZZGHgRJ3f7WVz0e7exFwKXC/mY2Ls4+rgy+D0mg0mmjsIhmhJBJUpVQ/eemgRK7oZwBzzawCeBKYZWa/BzCz24BhwPdaW9ndtwb/bgKWAqfEWWaBuxe5e9GwYfplFmmpOBJlTEFfRg3tk+pQJE21mejd/RZ3H+HuhcB84BV3v9zMrgTOB77h7oc16QCY2WAzyw3eFxD70nivy6IXCbna+kaWb6pWbxvplM7c2flX4GhgedB18lYAMysys+abticApWa2BlgC3OPuSvQiCSqt2EVtfZMSvXRKux6YcvelxJpfcPe467p7KUFXS3d/nVj3S5HQ2X3gIP/3PyPU1jcmbR9lH+8lJ6sXXxg7JGn7kPDTk7EiHbRo9TZ+98YWjhmYRzKH+pg/dSR9cvRfVTpOvz0iHVQciVI4tA9L/+HcVIcickR6+kKkA+oaGlm+sZqZajuXNKBEL9IBpRW7qKlv1E1SSQtK9CIdUByJkpPVi2ljh6Y6FJE2KdGLdEBxWZSiwsH0zdVtLun5lOhF2umjPbWUfbxXzTaSNpToRdrp09ozKjImaUKJXqSdiiNRjh6Qy8Sj+6c6FJGEKNGLtENDYxPLNlQxc8IwzJL5mJRI11GiF2mHNZV72FNTr2YbSStK9CLtUByJ0svgzPEFqQ5FJGFK9CLtUBKJcvLIQQzqk5PqUEQSpkQvkqBd+w+ypnK3ulVK2lGiF0nQqxuqcEf1bSTtKNGLJKgkEmVgfjYnjxiU6lBE2kWJXiQB7k5xJMpZEwrI6qVulZJelOhFErB++16ie+vUbCNpSYleJAHFzWUPlOglDSWc6M0sy8zeNrPFwfQYM3vTzDaY2R/NLG5/MzO7JVimzMzO76rARbpTSSTK8Z/rz9ED8lIdiki7teeK/kZgfYvpnwG/cPfxwC7g24euYGYnAvOBk4DZwMNmltXxcEW63766Bkq37NTVvKSthIppm9kI4ALgbuB7FivyMQu4NFjkMeB24F8OWXUe8KS71wGbzWwDMBVY3vnQRTpm8dpt/O3djxNefveBg9Q3uhK9pK1ER024H7gZaC7XNxTY7e4NwXQlMDzOesOBN1pMx13OzK4GrgYYNWpUgiGJtJ+7809/eZ9PausZ1i834fWmjxvKaYWDkxiZSPK0mejNbA6ww91Xmdk5yQjC3RcACwCKioo8GfsQAdgY3cfW3TXcfdEkLvvC6FSHI9ItErminwHMNbOvAnnAAOABYJCZ9Q6u6kcAW+OsuxUY2WK6teVEukVxpAqAmRPUDCOZo82bse5+i7uPcPdCYjdWX3H3y4AlwMXBYlcAi+Ks/gIw38xyzWwMMAFY0SWRi3RAcSTK2GF9GTmkT6pDEek2nelH/wNiN2Y3EGuz/zcAM5trZncAuPu7wFPAe8BfgevcvbFzIYt0TG19I29uqtZNVck47RrC3t2XAkuD95uI9aA5dJkXiF3JN0/fTay3jkhKvbGpmrqGJiV6yTh6MlYyRkmkitzevZg2dmiqQxHpVkr0kjGKIzuYOmYIedl6Zk8yixK9ZITKXQfYGN2vZhvJSEr0khFKgm6V52hQb8lA7boZK9LTuDv/+Jf1VO6qOeJy67bt4diBeYwb1q+bIhPpOZToJa29/9Fefv3qZoYPyqdvbutt7/nZWcyfPopYmSaRzKJEL2mtuU78s9dOVwlhkVaojV7SWnGZ6sSLtEWJXtLW/uY68brBKnJESvSStpZvrI7ViVeBMpEjUqKXtFUcidInJ0t14kXaoEQvaaukPMoZY4eS21tPuoociRK9pKWKqv1sqT6g9nmRBCjRS1pq7lapAURE2qZEL2mpJBJl9NA+FBb0TXUoIj2eHpiSlHincg8PLdlAo3dsiOBlG6r4+6KRbS8oIkr0khq/fW0zS8p2MLaDtWcmfq4/Xy8a0cVRiYSTEr10u6Ymp6S8itmTPscD809JdTgioddmojezPKAEyA2Wf9rdbzOzV4H+wWJHASvc/cI46zcC7wSTH7j73C6JXNLWe9s/oWpfnW6kinSTRK7o64BZ7r7PzLKBZWb2H+5+VvMCZvYMsKiV9WvcfUoXxCoh0dxj5qzjClIciUhmaLPXjcfsCyazg9end9DMbAAwC3g+KRFK6JREopx07ACO6q9CZCLdIaHulWaWZWargR3Ai+7+ZouPLwRedvdPWlk9z8xKzewNMzusaUcyy97aelZt2cVMDekn0m0SSvTu3hg0v4wApprZpBYffwN44girj3b3IuBS4H4zG3foAmZ2dfBlUBqNRtsRvqSb1zdW09DkGrtVpBu164Epd98NLAFmA5hZATAV+PMR1tka/LsJWAoc1s3C3Re4e5G7Fw0bpgQQZiWRKP1ye3PqKBUiE+kubSZ6MxtmZoOC9/nAecD7wccXA4vdvbaVdQebWW7wvgCYAbzXFYFL+nF3iiNRzhg3lJzeeihbpLsk8r/tGGCJma0FVhJro18cfDafQ5ptzKzIzH4TTJ4AlJrZGmJ/Cdzj7kr0GWpT1X4qd9Wo2Uakm7XZvdLd1xKnuSX47Jw480qBK4P3rwOTOxeihEVJ0K1SiV6ke+nvZ+k2xZEoYwv6MnJIn1SHIpJRlOilW9TWN/LGpmp1qxRJASV66RYrK3ZSW9+kgUJEUkCJXrpFcVmUnN69mDZmaKpDEck4SvTSLYojUb4wZgj5ORrfVaS7KdFL0m3bXUP5jn3qbSOSIkr0knTqVimSWkr0knTFkSjHDMxj/FEdG01KRDpHiV6SqqGxiWUbqjj7uGGYWarDEclISvSSVKs/3M3e2gY124ikkMaMlS73zKpKnl+9FYDte2rJ6mVMH6/RpERSRYleupS784uXItTWNzJySB/65/XmyrPGMDA/O9WhiWQsJXrpUpuDCpV3zjuJb55RmOpwRAS10UsX+6+ulEelOBIRaaZEL12qOBJlTEFfRg1VhUqRnkKJXrpMrELlTmZO0I1XkZ5EiV66TGnFLmrqG1WhUqSHUaKXLlMc2UFOVi+mjVWFSpGeRIleukxJpIrTxwymT446c4n0JG0mejPLM7MVZrbGzN41s58G8x81s81mtjp4TWll/SvMrDx4XdHVByA9w/Y9NZR9vFdPwIr0QIlcetUBs9x9n5llA8vM7D+Cz/7B3Z9ubUUzGwLcBhQBDqwysxfcfVdnA5ee5dVIFaBulSI9UZuJ3t0d2BdMZgcvT3D75wMvuvtOADN7EZgNPNH+UKWneeClct7YVA1ARfV+Pjcgj+OOVoVKkZ4moTZ6M8sys9XADmKJ+83go7vNbK2Z/cLMcuOsOhz4sMV0ZTDv0O1fbWalZlYajUbbeQiSCvvrGvjlknK27q6hsckZObgP3501XhUqRXqghO6auXsjMMXMBgHPmdkk4BbgIyAHWAD8ALijI0G4+4JgGxQVFSX614Kk0PKN1dQ3Ovf8t8kqWCbSw7Wr14277waWALPdfbvH1AG/BabGWWUrMLLF9IhgnqS54kiU/OwsTiscnOpQRKQNifS6GRZcyWNm+cB5wPtmdkwwz4ALgXVxVv8b8GUzG2xmg4EvB/MkzZWUR5k+bii5vTXYt0hPl0jTzTHAY2aWReyL4Sl3X2xmr5jZMMCA1cA1AGZWBFzj7le6+04zuxNYGWzrjuYbs5K+Kqr2s6X6AN8+c0yqQxGRBCTS62YtcEqc+bNaWb4UuLLF9CPAI52IUXqYkvLYDfOZE9RnXiQd6MlYabfisiijh/ahsKBvqkMRkQQo0Uu71DU08vrGaj0BK5JGlOilXVYFFSrVbCOSPpTopV2KI1Gys4wzxqlCpUi6UJlBOSJ35+an11JRvR+Aso/2cnrhEPrm6ldHJF3oil6OqOzjvfz7qkr21TWSndWLySMGctXMsakOS0TaQZdlckTNg30/8q0ijhmYn+JoRKQjdEUvR1QciTLx6P5K8iJpTIleWnXgYAMrN+9i5nEqWiaSzpTopVVvbKrmYGOTBhMRSXNK9NKq4rJYhcoiVagUSWtK9NKqkvIqpo0dQl62KlSKpDMleonrg+oDbK7ar1IHIiGgRC9xFQcVKs+eqPZ5kXSnRC9xFZdFGTkkn8KhfVIdioh0kh6YEiA22Pd3//AWu2vqAXh36yf8/ekjNNi3SAjoil6A2INRS8qi9O5l9MvtzYzxQ7l06uhUhyUiXUBX9ALEmmr65/Xmiaum0TtL3/8iYZLI4OB5ZrbCzNaY2btm9tNg/kIzKzOzdWb2iJllt7J+o5mtDl4vdPUBSOe5OyXlUc4cX6AkLxJCifyvrgNmufvJwBRgtplNAxYCxwOTgXxajBN7iBp3nxK85nZF0NK1ynfsY/ueWmaqK6VIKCUyOLgD+4LJ7ODl7v6X5mXMbAUwIikRStIVlwWDfSvRi4RSQn+nm1mWma0GdgAvuvubLT7LBr4J/LWV1fPMrNTM3jCzC1vZ/tXBMqXRaLSdhyCdVVIeZcJR/Rg+SBUqRcIooUTv7o3uPoXYVftUM5vU4uOHgRJ3f7WV1Ue7exFwKXC/mY2Ls/0F7l7k7kXDhumqsjsdONjAm5t26glYkRBr1503d98NLAFmA5jZbcAw4HtHWGdr8O8mYClwSgdjlSR4c9NODjY2qdlGJMQS6XUzzMwGBe/zgfOA983sSuB84Bvu3tTKuoPNLDd4XwDMAN7rquCl84ojUfKyezF1zJBUhyIiSZJIP/pjgMfMLIvYF8NT7r7YzBqALcDy4OnJZ939DjMrAq5x9yuBE4BfmVlTsO497q5E34OURKJMGztUFSpFQiyRXjdridPc4u5x13X3UoKulu7+OrHul9INlpTt4P4XIzR5Yss7zqaq/Vw+TU/AioSZnowNkd8t30JF9QFOG534QCFfndyHr518bBKjEpFUU6IPidr6RpZvrObrRSO4Y96ktlcQkYyh591DorRiFzX1jeomKSKHUaIPiZLyKDlZvZg2dmiqQxGRHkaJPiSKy6KcPmYwfXPVGicin6VEHwLb99RQ9vFeZk5Qs42IHE6JPgRKIs3juyrRi8jhlOhDoCRSxdEDcpl4dP9UhyIiPZASfZpraGzi1fIoMycM0/iuIhKXEn2aW1O5m09qG9RsIyKtUheNbnLgYANXP76Kqn11Xbrd3Qfq6WVw5viCLt2uiISHEn03eW1DNcs2VDFj/FD65nTdj33UEDh55GgG9cnpsm2KSLgo0XeTkkiUPjlZ/PZbU8nprRYzEek+yjjdwN1ZGtnB9HEFSvIi0u2UdbpBRfUBPtxZw9nHqR1dRLqfEn03+PSBpuOOSnEkIpKJlOi7QXEkypiCvowa2ifVoYhIBlKiT7K6hlid+JkT1GwjIqmhRJ9kn9aJ1wNNIpIibSZ6M8szsxVmtsbM3jWznwbzx5jZm2a2wcz+aGZxO3Kb2S3BMmVmdn5XH0BPVxxRnXgRSa1ErujrgFnufjIwBZhtZtOAnwG/cPfxwC7g24euaGYnAvOBk4DZwMNmltVVwaeD5jrxfbrwISkRkfZoM/u4uwP7gsns4OXALODSYP5jwO3Avxyy+jzgSXevAzab2QZgKrC805EfYveBg3z9X7t8s53iwIYd+/i7045PdSgiksESuswMrsJXAeOBh4CNwG53bwgWqQSGx1l1OPBGi+m4y5nZ1cDVAKNGjUo09s/o1cuYcHS/Dq2bTJOHD+TCKfF+NCIi3SOhRO/ujcAUMxsEPAd06SWquy8AFgAUFRV5R7YxIC+bhy87rSvDEhEJhXb1unH33cAS4AxgkJk1f1GMALbGWWUrMLLFdGvLiYhIkiTS62ZYcCWPmeUD5wHriSX8i4PFrgAWxVn9BWC+meWa2RhgArCiKwIXEZHEJNJ0cwzwWNBO3wt4yt0Xm9l7wJNmdhfwNvBvAGY2Fyhy91vd/V0zewp4D2gArguagUREpJtYrFNNz1FUVOSlpaWpDkNEJK2Y2Sp3L4r3mZ6MFREJOSV6EZGQU6IXEQk5JXoRkZDrcTdjzSwKbGnnagVAVRLC6cky8ZghM487E48ZMvO4O3PMo909bpncHpfoO8LMSlu72xxWmXjMkJnHnYnHDJl53Mk6ZjXdiIiEnBK9iEjIhSXRL0h1ACmQiccMmXncmXjMkJnHnZRjDkUbvYiItC4sV/QiItIKJXoRkZBL60RvZrODQcc3mHOodr0AAAWBSURBVNkPUx1PspjZSDNbYmbvBQO03xjMH2JmL5pZefDv4FTH2tXMLMvM3jazxcF0QoPSpyszG2RmT5vZ+2a23szOyJDz/L+D3+11ZvaEmeWF8Vyb2SNmtsPM1rWYF/f8WsyDwfGvNbNTO7rftE30Qdnkh4CvACcC3wgGIw+jBuD77n4iMA24LjjWHwIvu/sE4OVgOmxuJDb+QbM2B6VPcw8Af3X344GTiR17qM+zmQ0HbiBW3nwSkAXMJ5zn+lFg9iHzWju/XyE2hscEYkOtHjomd8LSNtETG2R8g7tvcveDwJPEBiMPHXff7u5vBe/3EvvPP5zY8T4WLPYYcGFqIkwOMxsBXAD8Jpg2YoPSPx0sEqpjNrOBwEyCsR3c/WAwqluoz3OgN5AfjFrXB9hOCM+1u5cAOw+Z3dr5nQc87jFvEBvV75iO7DedE/1w4MMW060NUB4qZlYInAK8CRzt7tuDjz4Cjk5RWMlyP3Az0BRMDyWxQenT1RggCvw2aK76jZn1JeTn2d23AvcBHxBL8HuAVYT7XLfU2vntshyXzok+45hZP+AZ4H+5+yctP/NYP9nQ9JU1sznADndflepYulFv4FTgX9z9FGA/hzTThO08AwRt0vOIfdEdC/Tl8OaNjJCs85vOiT6jBh43s2xiSX6huz8bzP64+U+54N8dqYovCWYAc82sgliz3Cxi7deJDEqfriqBSnd/M5h+mljiD/N5BvgSsNndo+5eDzxL7PyH+Vy31Nr57bIcl86JfiUwIbgzn0Ps5s0LKY4pKYK26X8D1rv7z1t89AKxgdmh9QHa05K73+LuI9y9kNi5fcXdLyOxQenTkrt/BHxoZhODWV8kNt5yaM9z4ANgmpn1CX7Xm487tOf6EK2d3xeA/x70vpkG7GnRxNM+7p62L+CrQATYCPw41fEk8TjPJPbn3FpgdfD6KrE265eBcuAlYEiqY03S8Z8DLA7ejwVWABuAfwdyUx1fFx/rFKA0ONfPA4Mz4TwDPwXeB9YBvwNyw3iugSeI3YeoJ/YX3LdbO7+AEetZuBF4h1ivpA7tVyUQRERCLp2bbkREJAFK9CIiIadELyISckr0IiIhp0QvIhJySvQSSkEVyGuD98ea2dNtrdOJfU0xs68ma/sinaVEL2E1CLgWwN23ufvFbSzfGVOIPdcg0iOpH72Ekpk1VzMtI/YgygnuPsnMvkWsOmBfYuVf7wNygG8CdcBX3X2nmY0j9rDKMOAAcJW7v29mXwduAxqJFd/6ErEHevKJPZ7+T8Bi4P8Bk4Bs4HZ3XxTs+yJgILHiVL93958m+UchQu+2FxFJSz8EJrn7lKDi5+IWn00iVgE0j1iS/oG7n2JmvwD+O7GqmQuAa9y93My+ADxMrN7OrcD57r7VzAa5+0Ezu5XYU4vfBTCzfyRWsuF/mtkgYIWZvRTse2qw/wPASjP7s7uXJvMHIaJEL5loicfq+u81sz3An4L57wCfD6qETgf+PVZ6BYg9kg/wGvComT1FrPhWPF8mVpDtpmA6DxgVvH/R3asBzOxZYuUtlOglqZToJRPVtXjf1GK6idj/iV7EaqFPOXRFd78muMK/AFhlZqfF2b4Bf+fuZZ+ZGVvv0LZStZ1K0ulmrITVXqB/R1b0WK3/zUF7fPPYnScH78e5+5vufiuxQUJGxtnX34Drg0qMmNkpLT47LxgjNJ/YvYLXOhKjSHso0UsoBc0jrwWDMN/bgU1cBnzbzNYA7/Jfw1Tea2bvBNt9HVhDrJzuiWa22swuAe4kdhN2rZm9G0w3W0FsXIG1wDNqn5fuoF43It0k6HXz6U1bke6iK3oRkZDTFb2ISMjpil5EJOSU6EVEQk6JXkQk5JToRURCToleRCTk/j9ZelqsxvI8AQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df.plot('timestep',['participant_count'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Review system health metrics\n",
"\n",
"Below we will analysis system health metrics, such as fraction of supply used for voting, which is effective supply over total supply and percentage of proposals and requested funds in different stages. "
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f0f573763d0>"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEGCAYAAACO8lkDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdeXxUVZrw8d+TfSWQENZAyIasghCRRSSA3Q3qgN22C+62O6BtO58e9e1pe3S6Z7rfnpn2VXBvtd1gXEakbdRpBQQRVEBQFoEQtrCGQCBkq1Tqef+oW0WRpFKVpCpVlZzv55MPqVu3bt0bcuvknPOc5xFVxTAMwzA8RYX6BAzDMIzwYxoHwzAMownTOBiGYRhNmMbBMAzDaMI0DoZhGEYTMaE+gUDo2bOnDho0KNSnYRiGEVE2bNhwXFUzm3uuUzQOgwYNYv369aE+DcMwjIgiIvu8PWeGlQzDMIwmTONgGIZhNGEaB8MwDKOJTjHn0Jz6+npKS0upra0N9akYhltCQgJZWVnExsaG+lQMo0WdtnEoLS0lNTWVQYMGISKhPh3DQFUpLy+ntLSUnJycUJ+OYbSo0w4r1dbWkpGRYRoGI2yICBkZGaY3a0SETts4AKZhMMKO+Z00IkWnbhwMwwg/H353mAMnqkN9GoYPpnEIoieffJKhQ4dyww03tOs4r7zyCocOHXI/vuOOO9i2bVubj/f8888zZMgQhgwZwrhx4/j888/dz61evZrhw4czevRoqqqquP/++xkxYgQjR47kwgsvZM+ePe26luakpKS0+PzKlStJS0tj9OjRjB49mksvvdTvYz/22GM88sgj52zbtGkTQ4cO9fqaQP+8jbMcDuW+Rd/wf977LtSnYviiqhH/NXbsWG1s27ZtTbZ1tPPOO08PHDhwzrb6+vpWH2fKlCn69ddfB+Sc/vrXv+qYMWO0rKxMVVU3bNigAwYM0MOHD6uq6t13362vvfaaqqq++eabetVVV2lDQ4Oqqh44cEBPnDgRkPPwlJyc3OLzK1as0Msvv7xNx/7+++81JyfnnG0PPfSQPvbYY15fE8ifd3PC4XczVE7X2DT7oQ80+6EPdNP+k6E+nS4PWK9ePldNzyFI7rnnHkpKSpg5cyZpaWncdNNNTJo0iZtuuom9e/cyefJkxowZw5gxY/jiiy/cr/vDH/7AyJEjGTVqFA8//DDvvPMO69ev54YbbmD06NHU1NRQVFTkTheyaNEiRo4cyYgRI3jooYfcx0lJSeFXv/oVo0aNYvz48Rw9etR9/D/+8Y/07NkTgDFjxnDLLbewcOFCXnzxRd566y1+/etfc8MNN3D48GH69u1LVJTz1yQrK4sePXq4j+/yzjvvcOuttwJw6623cs8991BYWMjgwYP54IMPAOdf47Nnz6aoqIiCggIee+yxJj+zm2++mSVLlrgf33DDDbz//vtef8YtXfs//uM/MmrUKMrKyujRowdffvml+/m33nqLOXPmsGnTJsaPH8/555/Pj3/8Y06ePOnz5+3t57p7927Gjx/PyJEj+ed//mefvaGuqrLW7v5+wYriEJ6J4ZO3ViOSvnz1HP5l6Ra95tkvAvr1L0u3+GyVs7OztaysTH/zm9/omDFjtLq6WlVVq6qqtKamRlVVd+7cqa7zX7ZsmU6YMEGrqqpUVbW8vFxVm/4l63p88OBBHTBggB47dkzr6+t16tSp+t5776mqKqBLly5VVdVf/vKX+q//+q+qqtqjRw+tqKg45zyXLFmiP/7xj1VV9ZZbbtG3335bVZ09hezsbB01apQ++OCDunHjRvdrPP/af/vtt/WWW25xv/5HP/qRNjQ06M6dO7V///5aU1OjL7/8svbp00ePHz+u1dXVOnz4cPc1uY61cuVKnT17tqqqVlRU6KBBg7S+vl5XrFih3bp101GjRumoUaP0t7/9rc9r/+///m/3+f3xj3/UBx54QFVV165d6/55jxw5UleuXKmqqr/+9a/15z//eYs/75Z+rpdffrm++eabqqr6zDPPtNgb6so9hx1HTmv2Qx/oD/5rpWY/9IF+f/h0qE+pS8P0HEJv1qxZJCYmAs4FenfeeScjR47k6quvdo9nf/LJJ9x2220kJSUBkJ6e3uIxv/76a4qKisjMzCQmJoYbbriBVatWARAXF8cVV1wBwNixY9m7d2+rzzkrK4sdO3bw7//+70RFRTF9+nQ+/fRTn6+75ppriIqKoqCggNzcXL7//nsAfvCDH5CRkUFiYiI/+clPzpnrAJgyZQq7du2irKyMRYsWcdVVVxET41yKM3nyZDZt2sSmTZv41a9+1eK1R0dHc9VVV7mPe+211/LOO+/gcDhYvHgxc+bM4dSpU1RUVDBlyhQAbrnlFvfrW+Lt57p27VquvvpqAK6//nqfx+mqKmvrAZg3NZ+kuGieXml6D+Gq0y6C8/Sbfxge6lMgOTnZ/f2f/vQnevfuzebNm3E4HCQkJAT8/WJjY91hk9HR0djtzu78sGHD2LBhA9OmTXPvu2HDBoYPb/5nFB8fz8yZM5k5cya9e/dmyZIlTJ8+/ZyQzMZx+43DNV2PvW33dPPNN/P666+zePFiXn75ZX8v9xwJCQlER0e7Hw8YMICcnBw+++wz3n33XdauXdum44L3n6vhn9PWsFJWjyRuHJ/Ni6tL+MWlgxnUM9nHK42OZnoOIXDq1Cn3WP5rr71GQ0MD4PzL+uWXX6a62hnmd+LECQBSU1OprKxscpxx48bx2Wefcfz4cRoaGli0aJH7L2Fv/umf/omHHnqI8vJywBm588orrzB37twm+27cuNEdteNwOPj222/Jzs4GoHfv3mzfvh2Hw8F77713zuvefvttHA4Hu3fvpqSkhPPOOw+Av//975w4cYKamhqWLFnCpEmTmrznrbfeyhNPPAE4GzJvWnvtc+bM4Re/+AW5ublkZWWRlpZGjx49WL16NQCvvfaa+/Xeft4tGT9+PO+++y4AixcvbtVruxLXnEO3hBjumJxDTHQUz362O8RnZTSnS/Qcws3cuXO56qqrePXVV5kxY4a7VzFjxgw2bdpEYWEhcXFxXHbZZfzbv/2be5I3MTHxnL96+/bty+9//3umTp2KqnL55Zcze/bsFt971qxZHDx4kIkTJyIipKam8vrrr9O3b98m+x47dow777yTuro6wPmBPH/+fAB+//vfc8UVV5CZmUlhYSFnzpxxv27gwIGMGzeO06dP8+yzz7p7RuPGjeOqq66itLSUG2+8kcLCwibv2bt3b4YOHcqVV17Z4nW09tqvvvpq7r//fp566in3tr/85S/cc889VFdXk5ub6+6pePt5t+SJJ57gxhtv5He/+x0zZswgLS3Nr9d1NWesxiE1IZZeqQlcWziAxV/v5/7pBfTrnhjiszPO4W0ywvMLmAHsAIqBh73scw2wDdgKvGltywY2Apus7fd47D8W+M465pOAWNvTgb8Du6x/e/g6v3ANZe2KPCe0Pb388ss6b948n6+vqqrS3NzcJpPm4a6qqkodDoeqqi5atEhnzZrldd+u/Lv57MpizX7oA62sdYZ0HzhRpXmP/M2vAA8j8GjPhLSIRAMLgZnAMGCOiAxrtE8B8AgwSVWHAw9YTx0GJqjqaOAi4GER6Wc99wxwJ1Bgfc2wtj8MfKqqBcCn1mOjC/jkk08YOnQo9913X8T95b1hwwZGjx7N+eefz9NPP81//ud/hvqUwlJlrZ0ogeQ455xQVo8krrygP4u+2s/xM3UhPjvDkz/DSuOAYlUtARCRxcBsnL0ElzuBhap6EkBVj1n/2jz2icea4xCRvkA3VV1nPX4VuBL40Dp2kfWavwArgYcwIsIrr7zS7PZbb73VvRbCm0svvZR9+7xWLQxrkydPZvPmzaE+jbBXWVtPSnzMOcEI9xbl8e7GUl76fA//NGNICM/O8OTPhHR/4IDH41Jrm6fBwGARWSMi60TE1QtARAaIyLfWMf6gqoes15d6OWZvVT1sfX8E6N3cSYnIXSKyXkTWl5WVNXvizl6TYYSPrv47WVlnJzXh3FoWeZkpXDayL6+t3cepmvoQnZnRWKCilWJwDg0VAXOAF0SkO4CqHlDV84F84BYRafbDvjnWmFizd5OqPq+qhapamJmZ2eT5hIQEysvLu/zNaIQPVWc9h2CELkeKylo7qQlNByzmFeVTWWfn1S/2dvxJGc3yZ1jpIDDA43GWtc1TKfClqtYDe0RkJ87G4mvXDqp6SES2AJOBNdZxmjvmURHpq6qHreGnY625IPcBs7IoLS3FW6/CMELBVQmuq6qsrW+2cRjWrxvThvTipTV7+NnFOSTHm0DKUPPnf+BroEBEcnB+gF8HNF4CugRnj+FlEemJc5ipRESygHJVrRGRHsDFwJ+sD/7TIjIe+BK4GXDFGC4FbgF+b/3rPblOC2JjY021LcNoh4pqG7uOneHCQS2v1G+Nylo7vbs133OaNzWfq575gkVf7eeOybkBe0+jbXwOK6mqHZgPfAxsB95S1a0i8riIzLJ2+xgoF5FtwArgl6paDgwFvhSRzcBnwH+oqitX71zgRZyhrLtxTkaDs1H4gYjsAi61HhuG0cGe+Ww31zy3ll1HW7cgsCVn6pofVgIYm92DCbkZPL+qhNr6hoC9p9E2fvXdVHUZsKzRtkc9vlfgQevLc5+/A+d7OeZ6YEQz28uB6f6cl2EYwfPN/gpU4emVu/nTtaMDcszKWjspLQwZzZ+Wzw0vfsk7G0q5cXx2QN7TaBuTPsMwjCYaHMqWg6eIj4li6eZD7C9vf+U2VbXmHGK97jMxL4PRA7rz7Ge7qW9wtPs9jbYzjYNhGE0UHztDta2BX/xgMNEiPBOA/Ed1dgf1Dep1WAmcyRjnT82n9GQNSzcd8rqfEXymcTCMTmzv8SpOVtl879jI5gMVAPxgWG+uLszi3Q2lHDlV6+NVLat051VqeTR7+tBeDO3bjYUri2lwmFD0UDGNg2F0Yne8up65b2xs9es2lVaQmhBDTkYy90zJo0GV51eVtOtcXLUcfDUOIsLcojxKyqr4eOuRdr2n0XamcTCMTuxElY21JeVs2HeiVa/7trSCUVndiYoSBqQnMXt0P978ah/l7ch/5O45xHufc3C5bGRfcnsms2B5sVnIGiKmcTCMTqza5vxAXrDce8W1Bodis5+d/K2tb+D7w5Wcn3U2+eHconzq7A5eWrOnzedyps6/YSWA6Cjh3qI8th0+zYodbVoHa7STaRwMo5NyOJTaegfdk2JZsaOMLQdPNbvfr9/fwhVPrcZuRQdtPXQau0MZNaC7e5/8XilcNqIvr37R9vxHrmGlFD8aB4ArL+hP/+6JpvcQIqZxMIxOqtbuXEh2w0UDSU2IYeGKpr0Hm93BXzcdYufRM/ztO2e+y29LnZPRoz0aB4C5U/Palf/otLsKnO9hJYDY6CjumZLLxv0VrC0pb9N7Gm1nGgfD6KSqbc7GoXe3BG6ZMIiPth6h+Ni5q52/2H2cyjo7ibHRLFxRjMOhbD5QQe9u8U3SXAzvl+bOf1RV1/ra2f5GK3m6unAAmanxzTZsRnCZxsEwOqkaq3FIjI3mZxfnkBATzdMrzl2v8NGWI6TEx/DYrOHsPHqGv28/yubSU4zK6t7cIZk3NZ+T1fUs+mp/q8/HVSK0pRXSjSXERnPn5BzWFJfzzf6TrX5Po+1M42AYfnh17V52HAlcjqGO4Oo5JMXFkJ4cx/UXDeR9j9XODQ7lf7cdZdqQXvxkTH8GpifxHx/vYM/xqnPmGzy1J/9RZW09ibHRxES37mPnhouy6Z4Ua3oPHcw0Dobhg8Oh/GbpVv7Pe99F1MSoK1IpySrJedcluUSL8OwqZ+/h670nOFFlY8aIPsRER3FvUR67jp0B8NpzAGf+o2OVdbyzodTrPs3xVsvBl+T4GH42KYdPth9j26HTrX690TamcTAMH+rsDlRhw76TrCtp3XqBUHIPK1mNQ+9uCVxdmMU7652rnT/acoT4mCimDHYWy/rJmP70TXPOM4zM8l7De2JeBhcMbH3+o8q65ms5+OOWCYNIiY9h4UrTe+gopnEwDB9qPIZPFqzYFcIzaR3Xebt6DoB7tfNzq3bz8dYjTBmc6S6sEx8Tzb/MGs7tF+eQlug9osgz/9H7rch/5Ow5+Bep1FhaUiw3Tchm2XeH2V12pk3HMFrHNA6G4YPrQ3Zw75SImhit9piQdnGtdv7LF3s5fKqWGSP6nPOaHw3vw6+vGObz2NOGOPMfPd2K/EdtHVZyuf3iHOJjoppMqhvBYRoHw/DBNTzzs0k5ETUx2nhYyWVuUT4KxEQJ04f4XdL9HK7eQ0lZFR9t8S//kbcSof7qmRLPnHEDWbLpIAdOtD+FuNEyvxoHEZkhIjtEpFhEHvayzzUisk1EtorIm9a20SKy1tr2rYhc67H/ahHZZH0dEpEl1vYiETnl8dyjzb2fYXQUV1ROenJcRE2Mnp2QPvcDOb9XCjeNz+anY7NIS2rbMA/AjBF9yM1MZsEK/1Ywn6mz+5VXqSV3XZJLlMBzq0zvIdh8Ng4iEg0sBGYCw4A5IjKs0T4FwCPAJFUdDjxgPVUN3GxtmwE8ISLdAVR1sqqOVtXRwFrgfzwOudr1nKo+3r5LNIz2cQ0rJcZFc8vEyJkYrW5mzsHl8dkj+P1VzRZp9Ft0lDC3KJ/th0+z/Hvf+Y/aO6wE0DctkZ+OHcBb60s5erp9KcSNlvnTcxgHFKtqiaragMXA7Eb73AksVNWTAKp6zPp3p6rusr4/BBwDMj1fKCLdgGnAkvZciGEEi+disrTEyJkYrbE1IALxMcEbPZ49uh9ZPRJ5ykf+I3uDg2pbg995lVpy75Q8GhzKC+1MIW60zJ/fmv7AAY/HpdY2T4OBwSKyRkTWiciMxgcRkXFAHNC4P3gl8KmqevbTJ4jIZhH5UESG+3GOhhE0rp5DgjWxGykTo9W2BpJioxGRoL2HM/9RHpsOVPDFbu/5j85mZG3fsBLAwIwkZo3qxxtf7udEGwoZGf4J1J8UMUABUATMAV5wDR8BiEhf4DXgNlVtHBg9B1jk8XgjkK2qo4Cn8NKjEJG7RGS9iKwvKysL0GUYRlO19edO7EbKxGhNfUOTyehg+OnYLHqlxreYFrwteZVaMrcoj1p7Ay+3I4W40TJ/GoeDwACPx1nWNk+lwFJVrVfVPcBOnI2Fa9job8CvVHWd54tEpCfOYau/ubap6mlVPWN9vwyItfY7h6o+r6qFqlqYmZnZ+GnDCJiaZkJC3auNA1BbOVhqbB3TOCTERnPXJbktFhU6W+gnMI1DQe9UZgzvwytr9nK6tm0pxI2W+dM4fA0UiEiOiMQB1wFLG+2zBGevwfWBPxgosfZ/D3hVVd9p5tg/BT5QVffMkoj0EasfbA1FRQEmX68RMu4JaY/GoW9aIleNzeLtMJ4YrbbZSYoNzIexL9dfNJD05DivvYezJULbP6zkMm9qPpV1dl5buy9gxzTO8tk4qKodmA98DGwH3lLVrSLyuIjMsnb7GCgXkW3ACuCXqloOXANcAtzqEZo62uPw13HukBI4G4wtIrIZeBK4TiMpoY3R6dTUN79e4N4A1VYOluoO6jmAM1z29otzvBYVCvSwEsCI/mlMPS+TF1eXuMN2jcDxa85BVZep6mBVzVPV31nbHlXVpdb3qqoPquowVR2pqout7a+raqxHWOpoVd3kcdwiVf2o0XstUNXhqjpKVcer6heBu1zDaL3aeuc0WeOon4EZScwe1Y83v9zvd23lPcereH9T41HZ4KixNTQbxhosN03I9lpUqDUlQltj/rQCTlbX8+aXrU8hbrTMrJA2DB9q6xtI9BL1M3eqc2LU39rKC1cU8/PFm9h6qPmSnYFU3cGNQ7eEWG6dOIgPtxxh19Fz05u3tkSov9qTQtxomWkcDMOHliZ283ulMnNEH79rK2/c58zL1BFhsM5opY6Zc3C5bVIOibHRPL3y3OtrbYnQ1mhrCnGjZaZxMAwfaqyegzeuiVFftZVPVtkoOV5Fz5Q4lm05TPGx4C6iq7E1kBjbsbd4enIcN44fyPubDrKvvMq9/UydndhoCcqCPFcK8WdWti6FuNEy0zgYhg819Q0ktPAh629t5W8OOHsNj88e4VxEF+QUHNU2e5O8Sh3hzsm5xERHnRPm60y6FxuUBXmuJIAHK2pY8k3HzOd0BaZxMAwfav2I+nHVVm5pYnTjvgqio4Si8zK5flw27286FNRFdB21CK6xXt0SuLZwAO9sKOVQRQ3gjFZqTe3o1nKlEH9m5W6/U4gbLTONg2H44GtYCZwToxPzMnh+tfeJ0Y37TzK0bypJcTHuRXTPBGkRXX2Dg/oGJcnHeQfL3VNyUcUd5huIpHstERHum5ZPyfEqln13OGjv05WYxsEwfHAOK/n+kJ0/LZ+yyjreXn+gyXP2BgebD1QwZmAPAPqknVuyM9CqvdRy6ChZPZL48QX9WfTVfsoq6zgT5MYBYMbwPuRlJrNwRTEO03toN9M4GIYPNTb/GocJuRmMze7Bs5+VNJkY3XG0kipbg7txgLMlO4OxiM6V8iMUcw4u9xblUd/g4MXPSzhtzTkEU1SUMG9qPt8fqeRTP1KIGy0zjYNh+FDrx7ASnDsx+l6jidGN+ysAzmkcBqQnceXo/rz51T6O+7mIzl/N1Y/uaLmZKVx+fj9eX7uPo6drA5ZXqSWzRvVjQHoiC5bv8qsAkeGdaRwMwwd/5hxcis7LZHi/phOj3+w7Sc+UOAakJ56z/9ypedTZHfz588BmF3Wlk/CnxxNM86bmUWVr4GR1+0qE+ismOop7p+SzufQUq3cdD/r7dWamcTAMH1qT3dQ1MbrneBV/85gY3bj/JBcM7NEklDMvM4XLRvbltbX7OFUduOyiZ4eVQts4DOnTjR8Oc9apDvawkstVY/vTp1sCCyKk1ne4Mo2DYfhQW+9o1V/gPxzWh4JeKfzrB9tYv/cE5Wfq2Ftefc6Qkqf5U/M5U2fnFR+L6FqjOkwaB3BO1INzgVxHiI+J5u4puXy15wRf7Wk+hbjhm2kcDKMF9gYHtgaH38NK4JwYXXD9GJLiornu+XX8+v0tgDPctTlD+3bj0qG9eWnNHneCuvYKdbSSp/OzuvP2PRO4ujCrw97zugsH0jMlzvQe2sE0DkZYO1Vdz77yqpAtbKq1O6OOEuNad6uc1yeVpfMvZtqQXiz77ggxUcL5WWle958/LZ9TNfW8sS4wtQlq6p2NTCijlTxdOCi9w4aVwNko3jE5l1U7y9h8oKLD3rcz6dKNwxfFx7n8ydUBHes1Autnf/maKX9cydBHP2LGE6t4PUAfnv6qbabQj7/SEmN57qaxPDZrOL/4weAWh6ZGD+jO5IKevNDCIrrWCKdhpVC5cXw2aYmxpvfQRl26ceiRHMfWQ6f5y9q9oT4VoxkOh7L10CkmF/TklgnZRInw2F+3cvhUTYedg2tit61RPyLCLRMHMW9qvs9950/N5/gZG4u/an9tgpowGlYKlZT4GH42KYe/bzvK9sOnQ306EadLNw7BGOs1AufQqRpq6x1cNrIvv7p8GM/dNBZVeO6zjqu8VuulClwwXJSbwbhB6Ty3qoQ6e/t6D83Vve6Kbp04iJT4mCYpxA3f/GocRGSGiOwQkWIRedjLPteIyDYR2Soib1rbRovIWmvbtyJyrcf+r4jInsblQ8XpSeu9vhWRMYG4UG/mT8unojpwY71G4LhSWudlpgDORWM/vqA/i792pmToCM3Vjw6m+dPyOXyqlv/Z2L7sotX1DcRGC7HRXfrvP9KSYrlpQjYffHuI3WXBTZHe2fj8zRGRaGAhMBMYBswRkWGN9ikAHgEmqepw4AHrqWrgZmvbDOAJEenu8dJfNlM+dCZQYH3dBTzT5qvzQ6DHeo3A2V3mrAeQl5ns3nZvUR62ICwa86aj/wKfXNCTUVlpPL2yGHs7ahM4azl07V6Dy+0X5xAfE8UzpvfQKv78WTEOKFbVElW1AYuB2Y32uRNYqKonAVT1mPXvTlXdZX1/CDgGZPp4v9nAq1Zd6nVAdxHp6/cVtUEgx3qNwNlddobuSbHnxMfnZqZwxfn9eG3tXiqqbUE/B1fPIaGDxu5FhPnTCjhwooa/fnuozccJVS2HcNQzJZ7rx2Xz3jcHg5oivbPxp3HoD3immSy1tnkaDAwWkTUisk5EZjQ+iIiMA+IAz+b7d9bQ0Z9EJL4V74eI3CUi60VkfVlZmR+X4V0gx3qNwNl97Az5mSlNVhXPm5pPla2Bl9fsDfo5tCdaqa2mD+nFkD6pLFje9uyiHV0/Oty5UqQ/G6QU6Z1RoAYkY3AOAxUBc4AXPIePrL/8XwNuU1VXX/kRYAhwIZAOPNSaN1TV51W1UFULMzN9dUZ8c431vrvBVJIKF7vLzrjnGzyd1yeVHw3vzctr9rgL1wdLR885gHMR3fxp+ewuq+KjrUfadIzWpPzoClwp0t8OUor0zsifxuEgMMDjcZa1zVMpsFRV61V1D7ATZ2OBiHQD/gb8yhomAkBVD1tDR3XAyziHr/x9v4BzjfU+81n7xnoN7xocyq+XbKH4WKXPfSuqbRw/YyOvV3Kzz8+fWsDpWjuvBTmQoMbm/F3o6AR2M0f0JTczmaeWF7cpu2hNvek5NBbMFOmdkT+Nw9dAgYjkiEgccB2wtNE+S3D2GhCRnjiHmUqs/d/DOYfwjucLXPMI4hwzuBLYYj21FLjZiloaD5xS1aCXdvIc6126ue1jvYZ3R07X8tq6ffzub9t97nt2MrppzwFgZFYaRedl8uLqPe4MpMEQip4DQHSUMK8on+2HT7O8DbUJqv2sQdGVuKLdgpEivTPy2Tioqh2YD3wMbAfeUtWtIvK4iMyydvsYKBeRbcAKnFFI5cA1wCXArY1DVoE3ROQ74DugJ/Bba/syoAQoBl4A5gbiQv3hGutduKLY1KENgjrrg3bFjjK2HDzV4r6usMP8Xs03DgD3TcvnRJWNRV81rbwWKLXuCemODwmdNdpZm6AtvYcaM+fQrLlFwUmR3hn59RuvqstUdbCq5qnq76xtj6rqUut7VdUHVXWYqo5U1cXW9tdVNb6U8xIAACAASURBVNYjXNUdsqqq06x9R6jqjap6xuNY86z3Gqmq64Nz6U2dM9a7pW1jvYZ3No/hugXLW05psPvYGeKio8jqkeR1n7HZ6UzIzeD5VbuDFoZcY2sgSiAuBOsFYq3aBJsOVPB5cetqE1TXm2il5rii3V79omOi3SJZ114h04yzY72mklSg2awkdiP6d+OjrUfYedT73MPusjPk9EwmOkq87gPO3sPR03W8s6E0oOfq4ir00zhiqqO4axP4aEwbMxPS3rkKEAUyRXpnZBqHRlxjvd8fqeST7aYObSDVWY3DXZfkkRwXzcIVxdjsDl5du5dJv1/O86vOhhnuLqvyOhntaUJeBmMGdueZlbub1G0OhJr60H7IumoTfNnK2gTVtgaSzJxDs1wFiF5eszfo0W6RzDQOzXCN9S5Y0bZIEaN5rp5D79R4bpyQzV83H2L6f63k0fe3crqmnqeWF3O6tp46ewP7T1ST72Uy2pOz8loBBytqWPJN4IPaasNgYre1tQlU1UQr+eBKkR7saLdIZhqHZrjGeje3YazX8M7VOMTFRHHHxbmkxMeQGh/Ly7ddyKK7xlNZa+fVL/ayr7yaBoeS18JktCdX3eanG9VtDoRae+jTULS2NkGd3YFqx63qjkTnZ3VnyuBM/rx6jztFSiCs2HGMFzpJqKxpHLxwjfU+1cqxXsM71+rzuJgoMlPjWfd/pvPBfRcz9bxejOifxtTzMvnz53v4ttQZyeQtjLUxb3WbAyFcxu5bU5vAXcvBDCu16L5p+ZRX2VgUwLQ5i77cz++Wbef7I5GfItw0Dl541qH9sqQ81KfTKbjmHOJjnB9aSXExRHlMOM+fVsDJ6nr+6393AJCb6XvOwcVVt3lhO1JONKemPvTDStC62gSudR8mWqllhYPSGZ+bznOrdgcsbU55lTMCauGKyE/TYRqHFpg6tIFlczcOzf/ajc3uwaT8DA6dqqV/98RWfbi5wpB3HK3k79uPBuR8AWrqW1c/OphctQkW+vh9NIV+/HfftAKOnq7j7fWBiXY7UWVDhE6RItw0Di1wjfWu3nWcTaYObbvVecw5eDN/agHQul6Dy+Uj+zIoIymgYci1YZT6Oi0plpsnZPO37w67a100x5QI9d/EvAwuCGC02/EzdVw2si9x0ZGfItw0Dj64x3qX7wr1qUQ8Xz0HgPG56Vx/0UCuHN0kEa9PMdFRzC3KZ8vB06zc2b5MvS6hDmVt7PaLc0iIiebpld57D9Wm5+A313zVwYoa3mtntFudvYHKWjvn9U5lzriBEZ8i3DQOPrjGej/Zfoyth1pO+WC0zLVCuqWeg4jwbz8eyVVjs9r0Hlde0J/+3RN56tPA9B7CZc7BJSMlnhsuGsj7mw6xv7z5Dx7XanEz5+Cfqef1Yni/bjzTzmi3k1XONRMZKXHcPSXyU4SbxsEPt04aRGp8DE93gkmmUKqrtxqHIKaiiIuJ4p4puWzcX8HaAAQShNOwksudl+QSHSU84+WDp9rUj26VQEW7uZL5ZSTH0zctkZ9aKcIPn6oJ1Kl2KNM4+CEtMZabJ2azbMthv9JNG82zNTQQHSXEBDlP0dWFA+iVGt/qlBPNcQ4rhddt0rtbAtcWDuCdDQc4VNH0g+dstJJpHPwViGi3E1akUkaKs3LhvRGeIjy8fuvD2O0X5zrHek3voc1sdkeHJLBLiI3mrkty+WJ3ORv2+Z9yorH6Bgd2h5IQE34fsndPyUUVnmum9+BOM24aB795Rrv977a2RbuVV7l6Ds7GYUB6EleO7s+ir/ZTVhl5KcJN4+Cn9OQ4bhw/kPc3H2JfeVWoTyci1dkdxMd2zK/c9RcNJD05rl2LGMP5QzarRxI/GdOfxV8f4FjluZXNTLRS27ii3RasaNt8VfkZV88h3r1t3tTITRFuGodWcI31mt5D23RUzwGck7G3X5zDyh1lfFfatkCCWutDNpwmpD3NLcqnvsHBi6vP/eBxNQ7h2OMJZzHRUcydakW77Wh9tFt5lY3YaKFbwtlAAFeK8NfW7uVkVWSlCDeNQyv0Sk1gzoUD+J9vSjnYzFiv0TKb3dFipFKg3Twhm24JMTzVxjDkUFWB89egnsnMGtWP19ftc493gzNaKTE2+pzV54Z/fuyKdmvDWpnyM3WkJ8c1Se/uShH+coSlCPfrThWRGSKyQ0SKReRhL/tcIyLbRGSriLxpbRstImutbd+KyLUe+79hHXOLiLwkIrHW9iIROeVROe7RQFxooNw1JQ9ofqzXaFmd3dHiGodAS02I5bZJOfzvtqNtynUTzsNKLvOm5lNT38DLa872HqptdjOk1Eax0VHcU5TnjHbb3bpot/IzNjKS45tsP5sifA+nIyhFuM87VUSigYXATGAYMEdEhjXapwB4BJikqsOBB6ynqoGbrW0zgCdEpLv13BvAEGAkkAjc4XHI1R6V4x5v89UFQf/uiVw1Jss51nu61vcLDLc6u4O4Dh7quG3SIKt2ROsb81or9DZcew4ABb1TmTmiD6+s2cupGucHj6kf3T5Xj82id7f4Vs9XlVfZ3JFKjd03rYDKWjuvrY2cFOH+/Bk3DihW1RJVtQGLgdmN9rkTWKiqJwFU9Zj1705V3WV9fwg4BmRaj5dZJUEV+Apo26qnEJhblE+DI3JD1ELF1tCxw0oA3ZPiuHnioDbluqkJ8zkHl3lT86mss/MXa9jC1I9uH2e0Wx5rS8pZv9f/aLfyqjp3pFJjI7PSKDovkxdXl7hDjcOdP3dqf8Czgnuptc3TYGCwiKwRkXUiMqPxQURkHBAH7G60PRa4CfjIY/MEEdksIh+KyPDmTkpE7hKR9SKyvqwsMKkS/DUwI4nZo/rxxpf7KT8TeSFqoVJX39Chw0out1+cQ3xMFE99uos9x6v4Yvdxln9/1OeYcm0EDCsBDO+XxvQhvXhpzR7O1NmdVeDC/JzD3fXjBpLRymi38jO2cyKVGrtvWj4nq+t588vApQgPpkDdqTFAAVAEzAFe8Bg+QkT6Aq8Bt6lq4+xWTwOrVHW19XgjkK2qo4CngCXNvaGqPq+qhapamJmZGaDL8N/cqfnU2hsiMkQtVGwNHTvn4NIzJZ7rx2WzZNMhpv7HSq5/4Ut+9sp6lm4+1OLrwn1C2tP8aflUVNfzxrp9YVODIpK5km5+5meBpRpbA9W2Bq/DSgBjs9OZmJfBc6tK3H94hDN/7tSDwACPx1nWNk+lwFJVrVfVPcBOnI0FItIN+BvwK1Vd5/kiEfkNzmGmB13bVPW0qp6xvl8GxIpIz1ZdVQfI75XCZSP78urafZyqjpxJplCqq++4UNbGfn5pAf98+VD+8+pRvHnnRQzuncLCFS2vhq2JoDQUFwzsweSCnrywuoQT1TaTVykAbprgTLrpT++h8QI4b+ZPy6esso631h9ocb9w4M+d+jVQICI5IhIHXAcsbbTPEpy9BqwP8sFAibX/e8CrqvqO5wtE5A7gR8Acz96EiPQRKxbMGoqKAsKy2s78qfmcqbPzSoSFqIWKraHjFsE1lpYYyx2Tc7lqbBYT83oyb2o+O4+e4X+3HfH6GlfPISHM0md4c9+0Ao6fsVF87IzpOQTA2aSbvgssuRfANROt5GlCbgZjs3vw7Mrd7izF4crnb72q2oH5wMfAduAtVd0qIo+LyCxrt4+BchHZBqwAfqmq5cA1wCXArR6hqaOt1zwL9AbWNgpZ/SmwRUQ2A08C12mgkvMH2NC+3fjBsN68tGYPlREUohYqHbkIzpcrzu9HTs9knlpe7HXuoTaChpUAxuWkMy4nHTAlQgPFVWDJV8GvxnmVvHEl+Tt0qpb/2RiYAkPB4tedakUWDVbVPFX9nbXtUVVdan2vqvqgqg5T1ZGqutja/rqqxnqEpY5W1U3WczHW8c4JWVXVBao6XFVHqep4Vf0iOJceGPdNy+dUTT2vr4uMSaZQqrM3dHi0kjfRUcLcojy2HjrNih3Hmt0nUqKVPN0/zVksyfQcAsNVYGnZdy0n3fTMyOrLlMGZnJ+VxtMrd2MPQIGhYAmPOzWCnZ/VnSmDIytELVRsdoe7fnQ4uPKC/mT1SOTJT5vvPdTUNxAbLcSGSW/HH5PyM7h7Si4zR/QN9al0Gu4CSy2slSn3s+cAzt7D/Kn57D9R7TMoIpQi57c+jN03LZ/yKlvEhKiFSkenz/AlNjqKe4vy2HSggs+Ljzd5PtwK/fhDRHhk5lAm5GWE+lQ6DXeBpRaSbp6ospEQG+V3CPGlQ3szpE8qC1YUt6vAUDCFz50awQoHpTMhN4PnIyRELVTqwqxxAPjp2Cz6dEtoNiKlNgIbByM47nIVWPJSF/r4mToykuOb5FXyxpUivKSsig+3tL3AUDCF150awe6bls+xyjrejoAQtVBwOBS7Q0OyzqEl8THR3D0ll6/2nODLRpXjasKwCpwRGr26JXDdhQN4d2PzSTedC+B8Dyl5mjmiL7mZySxoR4GhYAqvOzWCTcizQtQ+Kwn7ELVQ8Kd+dKjMGTeQnilxTSJSaupN42CcdXcLSTdPVNl8rnFoLDrKOffw/ZFK/r69bQWGgin87tQI5QpRO1hRw3vfhHeIWih0RP3otkqIjebOybms3nWcb/afdG+vqXeQYKJ+DEtLSTed6bp9Ryo1NmtUPwamJ7GghZDqUAm/OzWCRUqIWijUNTjnYuLD9C/xG8dn0yMp9py607W2BhJDtGjPCE/NJd1UVY5X2ejZymElsAoMFeXx3cFTrNzZ+hxx+8urgzbPaX7zA8gVoravvJq/fhu+IWqh4Bpqiw/DngNAcryzctyn3x9jy0Fn5bhauxlWMs41MCOJ2aPPTbpZZWvAZne0es7B5SdjspwFhj5tXYEhVeVHT6zi/360o03v60t43qkRzB2itjx8Q9RCoc7VOITxX+I3TxxEakKMu/dgEtgZzZlb5Ey6+aKVdNPVSLRlWAmc83D3TMltdYGhsso6auobGNQzqU3v60v43qkRyhWitrusio+2eM/b09W4eg7hOOfg0i0hltsmDuKjrUfYcaQyItc5GMGX3yuFy0f25dUv9lJRbeP4Gf8XwHlzdeEAeqXG82QrStruLa8GIDsjuc3v25LwvVMj2MwRfcnLTOap5bvCMkQtFNyNQxhGK3m6bVIOyXHRLFhR7K7FbBiNzZ+W76wLvWavO69Szzb2HMBVYCiXdSUn+NrPAkN7rQV5gzJMzyFiREcJ86wQtU/CMEQtFNzDSmGUPqM5PZLjuHFCNh98e4iT1fWmcTCa5VkX2rVqOr0dPQeA6y9qXYGh/eXVxEQJ/bsntut9vTGNQ5DMGtWP7IwkFqwIvxC1UIiUngPAnZNziY+JosGhZs7B8Oq+aQWcrrXznBW51Np1Do0lxcVw++QcVu0sY5MfBYb2lleR1SORmCAN1Yb/nRqhXCFq35ae4rM2hKh1NjYrlDUSGgdX5TiIrIysRscamZXG1PMyKausIyU+JiC/KzdPGERaYiwL/Jh72FdeHbT5BjCNQ1D9+AIrRC0MF7h0NNciuHBLn+HN3VNySUuMZWB6cMZzjc5hvpUiPb2dvQaXswWGjrH10Cmv+6kqe8urgjbfAKZxCCpXiNqGfSdbFaLWGYVz+ozm9O6WwPp/vpR/GNUv1KdihLGx2T2YPqQXBb1SAnbMWycNIjU+hoUtFBg6WV1PZa2dgabnELnaEqLWGdVFQChrY5FUx8EInWdvGsvzNxcG7HhpibHcPDGbD7ccYdfR5gsMBTtSCfxsHERkhojsEJFiEXnYyz7XiMg2EdkqIm9a20aLyFpr27cicq3H/jki8qV1zP+26k0jIvHW42Lr+UHtv8zQSYiN5u4pea0KUeuMImERnGG0RWx0FNFR/qXq9tftF+eSGBvttTypK0IqpHMOIhINLARmAsOAOSIyrNE+BcAjwCRVHQ48YD1VDdxsbZsBPCEi3a3n/gD8SVXzgZPA7db224GT1vY/WftFtOvHOUPUnvy06/YezqbPMBO8huFLenIcN47P5q+bD7HneNMCQ3uPVyMCA9KDE8YK/vUcxgHFqlqiqjZgMTC70T53AgtV9SSAqh6z/t2pqrus7w8Bx4BMcVbEmAa8Y73+L8CV1vezrcdYz08XfytohKnEuGjusLJ++hOi1hlFUiirYYSDOybnEBsd1ezcw77yKvqlJQZ13ZA/d2p/wLOCTam1zdNgYLCIrBGRdSIyo/FBRGQcEAfsBjKAClV1FV32PKb7/aznT1n7Nz7eXSKyXkTWl5WFf6joTROy6Z7kX4haZ1Rnj5xQVsMIB71SE5gzbiDvfXOQAyeqz3lu34nqoOVUcgnUnRoDFABFwBzgBY/hI0SkL/AacJuqBiSXtao+r6qFqlqYmZkZiEMGlb8hap2Vze4gJkoCPjZrGJ3ZPVPyiBbhmUYFhoK9xgH8axwOAgM8HmdZ2zyVAktVtV5V9wA7cTYWiEg34G/Ar1R1nbV/OdBdRGKaOab7/azn06z9I94tE50hagv8XB7fmdjCsH60YYS7PmkJXF2YxdvrD3DIKk96qqaeE1W2oEYqgX+Nw9dAgRVdFAdcByxttM8SnL0GRKQnzmGmEmv/94BXVdU1v4A6V4StAH5qbboFeN/6fqn1GOv55dpJVpClJcZy66RBfLjlCDu9hKh1VnV2R8QsgDOMcHJvUR6quAsM7beysQ5MD3HPwRr3nw98DGwH3lLVrSLyuIjMsnb7GCgXkW04P/R/qarlwDXAJcCtIrLJ+hptveYh4EERKcY5p/Bna/ufgQxr+4NAs6GzkepnrqyfXaz3YHoOhtE2WT2S+MmY/iz6aj/HKmvPrnEI8pxDjO9dQFWXAcsabXvU43vF+UH+YKN9Xgde93LMEpyRUI231wJX+3NekciV9fOFVSU8cGkBuZmBW1kZzmwNpnEwjLaaW5TPOxtKeWFVCWmJsQBBT+1i7tYQuHNyLnExUSxcsdv3zp1Enb0h7NN1G0a4GtQzmdmj+/P6uv1s3F9B727xJMX59bd9m5nGIQRcWT+XbDroHj/s7Gx2R0SlzjCMcDNvqrM86fLvjwU9UglM4xAyd0/JJTpKeOazrjH3UGd3mNQZhtEO+b1SuGxkXyC4OZVczN0aIr27JXBt4QDe2VDKQStErTOrMz0Hw2i3+6blI+JsKILN3K0hdE9RHgDPfdb55x5MtJJhtN+QPt346/yLuXF8dtDfy9ytIdS/eyJXjcli8dcHOHq6NtSnE1Q2u8NMSBtGAIzonxb0yWgwjUPIzS3Kp8GhPPdZSahPJaic0Urm180wIoW5W0NsYEYSV47uz5tf7eP4mbpQn07QmHUOhhFZzN0aBuZNzcNmd/DC6s7be7CZ9BmGEVHM3RoGcjNTuOL8fry2dh8nq2yhPp2gqDMT0oYRUczdGibmT8un2tbAS2v2hPpUgsIsgjOMyGLu1jAxuHcql43swytr9nKqpj7UpxNwNrMIzjAiirlbw8j8qQVU1tl5Zc3eUJ9KQDU4FLtDiTP1ow0jYpjGIYwM69eNS4f25qU1ezhW2XnWPZj60YYReczdGmYemnEedfYGHli8iQZHp6hx5G4cTLSSYUQOc7eGmYLeqTw+awRf7C7vNAWB6uwNgOk5GEYk8etuFZEZIrJDRIpFpNnKbCJyjYhsE5GtIvKmx/aPRKRCRD5otP9qj+pwh0RkibW9SEROeTz3aOP36uyuLsziJxf054lPd/LF7uOhPp12qzPDSoYRcXwm6BCRaGAh8AOgFPhaRJaq6jaPfQqAR4BJqnpSRHp5HOKPQBJwt+dxVXWyx+vf5WwNaYDVqnpFG66nUxAR/vXKEWwureDnizfxyYNT3NWfIpGtwQwrGUak8eduHQcUq2qJqtqAxcDsRvvcCSxU1ZMAqnrM9YSqfgpUeju4iHQDpgFLWnnunVpyfAxPXHsBZZV1ER+9VFdvGgfDiDT+3K39gQMej0utbZ4GA4NFZI2IrBORGa04hyuBT1X1tMe2CSKyWUQ+FJHhzb1IRO4SkfUisr6srKwVbxc5RmaluaOXKmsjd+2Dq+dghpUMI3IE6m6NAQqAImAO8IKIdPfztXOARR6PNwLZqjoKeAovPQpVfV5VC1W1MDMzs80nHu7un57PqZp6Xl27L9Sn0mZno5XMOgfDiBT+NA4HgQEej7OsbZ5KgaWqWq+qe4CdOBuLFolIT5zDVn9zbVPV06p6xvp+GRBr7dclnZ/VnaLzMvnz53uoqrOH+nTaxEQrGUbk8edu/RooEJEcEYkDrgOWNtpnCc5eg+sDfzDgT4rRnwIfqKp7xZeI9BERsb4fZ51juR/H6rTum1bAiSobb3wZmb0H9yI4k1vJMCKGz7tVVe3AfOBjYDvwlqpuFZHHRWSWtdvHQLmIbANWAL9U1XJwhqwCbwPTRaRURH7kcfjrOHdICZwNxhYR2Qw8CVynqp1jNVgbjc3uwcX5PXl+1R5qbA2hPp1Wcw8rmdxKhhEx/Ko1Zw3vLGu07VGP7xV40Ppq/NrJjbd5PFfUzLYFwAJ/zqsruW9aPtc+v45FX+3nZxfnhPp0WqXO9BwMI+KYuzVCXJSbwUU56Ty3aje19ZHVezjbczAT0oYRKUzjEEHun17A0dN1vL3+gO+dw0hdg+k5GEakMXdrBJmYl8HY7B48s3K3+6/xSFBXb6KVDCPSmLs1gogI903L59CpWt7dWBrq0/GbSZ9hGJHH3K0RZsrgTEZlpfH0ymLqGyKj92BCWQ0j8pi7NcKICPdPL+DAiRre+6bxWsTwVGd3EBstREVJqE/FMAw/mcYhAk0b0ovh/brx9Ipi7BHQe7DZHSZ1hmFEGNM4RCDn3EMBe8ur+eDbw6E+HZ9sdoeZjDaMCGPu2Aj1w2G9GdInlaeW7wr7cqJ19gYz32AYEcbcsREqKkqYPy2f3WVVLPsuvHsPNrvDpM4wjAhj7tgINnNEX/J7pbBgeTGOMO492BocpudgGBHG3LERLDrKue5hx9FKPt56JNSn41VdvZlzMIxIY+7YCHfF+f3I7ZnMk8uLCdfktbYGh1kAZxgRxtyxES46Spg7NZ/th0/zyfZjvl8QAnUmWskwIo65YzuB2aP7MTA9iaeW7+rQ3kODQzl2utbnfs7GwaxzMIxIYhqHTiA2Oop5U/P4tvQUK3eWddj7/u27w0z8/XJ2HKlscT/nIjjzq2YYkcSvO1ZEZojIDhEpFpGHvexzjYhsE5GtIvKmx/aPRKRCRD5otP8rIrJHRDZZX6Ot7SIiT1rv9a2IjGnPBXYVP74gi/7dE/l/n3Rc72F/eRV2h/LU8l0t7mezN5hhJcOIMD7vWBGJBhYCM4FhwBwRGdZonwLgEWCSqg4HHvB4+o/ATV4O/0tVHW19bbK2zQQKrK+7gGdacT1dVlxMFHOn5rHpQAWrdx3vkPc8UVUPOHsQxce89x7q7A7iTSirYUQUf+7YcUCxqpaoqg1YDMxutM+dwEJVPQmgqu6ZUVX9FGh53OFcs4FX1Wkd0F1E+rbi9V3WT8dm0TctgSc/7Zjew4mqOtKT40iMjWbB8mKv+5lFcIYRefy5Y/sDnqXHSq1tngYDg0VkjYisE5EZfr7/76yhoz+JSHwr3s9oRnxMNPcW5bF+30nWlpQH/f1OVNczoEciN43PZunmQ+w5XtXsfmYRnGFEnkDdsTE4h4GKgDnACyLS3cdrHgGGABcC6cBDrXlDEblLRNaLyPqyso6bhA131xQOoFdqPE9+2vI8QCC4eg53TM4lLiaKhSua7z3U1TtM/WjDiDD+NA4HgQEej7OsbZ5KgaWqWq+qe4CdOBsLr1T1sDV0VAe8jHP4yt/3Q1WfV9VCVS3MzMz04zK6hoTYaO6Zkse6khN8tedEUN/rZFU96cnxZKbGc8NF2by7sZTC3/6dS/7vCq59bi0HK2oA03MwjEjkzx37NVAgIjkiEgdcByxttM8SnL0GRKQnzmGmkpYO6ppHEBEBrgS2WE8tBW62opbGA6dUNbwzy4WZOeMG0jMl3mcUUXuVV9WRnhwLwAOXFnDftAJ+OLwPYwZ255sDFTz5yS7sDQ4aHGqilQwjwsT42kFV7SIyH/gYiAZeUtWtIvI4sF5Vl1rP/VBEtgENOKOQygFEZDXO4aMUESkFblfVj4E3RCQTEGATcI/1lsuAy4BioBq4LXCX2zUkxkVz9yW5/G7ZdjbsO8nY7B4Bf48aWwO19Q7Sk51TRakJsTz4g8Hu57sv3crr6/Zx++QcwNSPNoxI47NxAFDVZTg/tD23PerxvQIPWl+NXzvZyzGnedmuwDx/zsvw7obxA3nms908tXwXr9w2zvcLWqm8qg7A3XNo7O4pubz55X6e+GQngOk5GEaEMXdsJ5UUF8Odk3NZuaOMTQcqAn78k9YaB1fPobG+aYlcc2EWy75zZos1jYNhRBZzx3ZiN03IpntSLE8FIXLJV88B4N6ifGKjBcDUkDaMCGMah04sJT6GOy7O4dPvj7Hl4KmAHvtktQ3w3nMA6N89kZ+OzQJMz8EwIo25Yzu5mycOoltCjNd1Dy+v2cNr6/a1+rjlZ6zGISmuxf3mTc1naN9unNc7tdXvYRhG6Pg1IW1Erm4Jsfzs4hye+GQX2w6dZli/bu7nTlXX8/sPvwfgR8N606tbgt/HPVltIzpK6JbY8q9QVo8kPvx5szEJhmGEMdNz6AJum5hDanxMk3UP731TSp3dga3BwXOrWlyW0sSJKhs9kuJwLlMxDKOzMY1DF5CWFMutkwbx4ZYj7toLqsqirw5wflYaP7kgize+3EdZZZ3fxyw/YyMjueUhJcMwIpdpHLqIn03KITkumgVW/qNvDlSw42glc8YNZN7UPGx2By+u9r/3cLLaRo8WIpUMw4hspnHoInokx3HLxEF88O0hio9VsujL/STHRfMPo/qRm5nCrFH9eHXtPsrP+Nd7KK+ykdFCpJJhGJHNNA5dyB2ThlIt2wAACxNJREFUc0mMjeb3H37PX789xKzR/UmJd04oz5+WT629gRc/3+PXsU5WmZ6DYXRmpnHoQtKT47hpfDafbD9Gbb2D68cNdD+X3yuVK87vx6tf7OVkla3F4zQ4lIqa+hbXOBiGEdlM49DF3DE5l4TYKEb078bIrLRznrtvWj5VtgZeWtNy76Gi2oYqpCeZnoNhdFZmnUMXk5kaz0u3XEhGStO/+gf3TuWykX14Zc1e7rg4lzQvH/4nrJ5FejPHMAyjczA9hy5oYn5PzuvT/Irl+VMLqKyz8/IX3nsPrsbBhLIaRudlGgfjHMP6deOHw3rz0ud7OF1b3+w+rsahh4/UGYZhRC7TOBhN3D+9gNO1dv6yZm+zz5+wku5lpJjGwTA6K9M4GE2M6J/GpUN78eLne6hspvdwwkq6191MSBtGp+VX4yAiM0Rkh4gUi8jDXva5RkS2ichWEXnTY/tHIlIhIh802v8N65hbROQlEYm1theJyCkR2WR9Pdr4vYzgu396Aadq6nl1bdOMrSeqbaTGx5gaDYbRiflsHEQkGlgIzASGAXNEZFijfQqAR4BJqjoceMDj6T8CNzVz6Ddw1pYeCSQCd3g8t1pVR1tfj7fieowAOT+rO1PPy+TF1SVU1dnPee5ElY0eZjLaMDo1f3oO44BiVS1RVRuwGJjdaJ87gYWqehJAVY+5nlDVT4HKxgdV1WVqAb4Cstp4DUaQ3D+9gJPV9U3qPZyospFuGgfD6NT8aRz6Awc8Hpda2zwNBgaLyBoRWSciM/w9AWs46SbgI4/NE0Rks4h8KCLDvbzuLhFZLyLry8rK/H07oxUuGNiDSwZn8sKqEqptZ3sPpnEwjM4vUBPSMUABUATMAV4Qke5+vvZpYJWqrrYebwSyVXUU8BSwpLkXqerzqlqoqoWZmZntOnnDu59Pz6e8ysYb6/a7t500jYNhdHr+NA4HgQEej7OsbZ5KgaWqWq+qe4CdOBuLFonIb4BM4EHXNlU9rapnrO+XAbEi0tOP8zSCYGx2Ohfn9+S5VSXU2BpQVcpN42AYnZ4/jcPXQIGI5IhIHHAdsLTRPktw9hqwPsgHAy0WBxCRO4AfAXNU1eGxvY9Y5cVEZJx1juV+XY0RFPdPL+D4mTre/Go/NfUN1NkdpnEwjE7OZ+OgqnZgPvAxsB14S1W3isjjIjLL2u1joFxEtgErgF+qajmAiKwG3gami0ipiPzIes2zQG9gbaOQ1Z8CW0RkM/AkcJ01aW2EyLicdCbkZvDsZ7s5VFELQLpZHW0YnZp0hs/dwsJCXb9+fahPo1Nbu7ucOS+s4ydj+vM/Gw/y4s2FXDqsd6hPyzCMdhCRDapa2NxzZoW04ZfxuemMG5TO/2x0TjeZdQ6G0bmZxsHwi4jw80vPxhiYjKyG0bmZxsHw28S8DMZm9wBMz8EwOjtT7Mfwm4jw2ytH8PHWI3RLML86htGZmTvcaJWhfbsxtG+3UJ+GYRhBZoaVDMMwjCZM42AYhmE0YRoHwzAMownTOBiGYRhNmMbBMAzDaMI0DoZhGEYTpnEwDMMwmjCNg2EYhtFEp8jKKiJlwD6fO57VEzgepNMJZ13xurviNUPXvO6ueM3QvuvOVtVmS2l2isahtURkvbc0tZ1ZV7zurnjN0DWvuyteMwTvus2wkmEYhtGEaRwMwzCMJrpq4/B8qE8gRLridXfFa4aued1d8ZohSNfdJeccDMMwjJZ11Z6DYRiG0QLTOBiGYRhNdLnGQURmiMgOESkWkYdDfT7BICIDRGSFiGwTka0i8nNre7qI/F1Edln/9gj1uQaDiESLyDci8oH1OEdEvrT+z/9bRDpVjVMR6S4i74jI9yKyXUQmdIX/axH5hfX7vUVEFolIQmf7vxaRl0TkmIhs8djW7P+tOD1pXfu3IjKmPe/dpRoHEYkGFgIzgWHAHBEZFtqzCgo78I+qOgwYD8yzrvNh4FNVLQA+tR53Rj8Htns8/gPwJ1XNB04Ct4fkrILn/wEfqeoQYBTOa+/U/9fy/9u7txCrqjiO499fXvJSOBUheQlNJIqhZipMSkLMbipZZBlYmt0QqehBuj1YEtWDUkGREFoaRWEqafYQRUJhpGamYiWKRmreKDRJ0MpfD2tNc5ozw4xzlX3+Hxjm7Ms5e535z5z/7LX2/i9pIPAYcJXtaqAbcDfFi/Ui4OYG65qK7S3A8Pz1MDC/LQeuqOQAjAB22N5p+wTwATCxi9vU7mzvs/1dfnyU9GExkPReF+fdFgO3dU0LO46kQcB4YEFeFjAGWJp3KdT7ltQPuA5YCGD7hO3DVECsSdMc95bUHegD7KNgsbb9JfB7g9VNxXYi8I6Tb4AqSRe09tiVlhwGArtLlvfkdYUlaQhQC6wF+tvelzftB/p3UbM60qvAE8DJvHwecNj233m5aDEfChwC3s5daQsk9aXgsba9F5gH/EJKCkeADRQ71nWaim27fr5VWnKoKJLOApYBj9v+o3Sb0zXMhbqOWdIE4KDtDV3dlk7UHbgCmG+7FviTBl1IBY31OaT/lIcCA4C+lHe/FF5HxrbSksNeYHDJ8qC8rnAk9SAlhvdsL8+rD9SdZubvB7uqfR3kWuBWST+TugzHkPrjq3LXAxQv5nuAPbbX5uWlpGRR9FiPBXbZPmT7L2A5Kf5FjnWdpmLbrp9vlZYc1gPD8xUNPUkDWCu7uE3tLvezLwR+tP1yyaaVwLT8eBqworPb1pFsP217kO0hpNh+YXsKsBqYlHcr1Pu2vR/YLenivOp64AcKHmtSd9JISX3y73vd+y5srEs0FduVwNR81dJI4EhJ99Mpq7g7pCWNI/VLdwPesv1CFzep3UkaBXwFbKG+7/0Z0rjDEuBCUonzu2w3HOwqBEmjgVm2J0i6iHQmcS6wEbjH9vGubF97klRDGoDvCewEppP+8St0rCXNASaTrs7bCDxI6mMvTKwlvQ+MJpXlPgA8C3xEI7HNSfJ1UvfaMWC67W9bfexKSw4hhBCaV2ndSiGEEFogkkMIIYQykRxCCCGUieQQQgihTCSHEEIIZSI5hJDl6qYz8+MBkpY295w2HKsmX1YdwmkpkkMI9aqAmQC2f7U9qZn926IGiOQQTltxn0MImaS6Kr3bgO3AJbarJd1HqnzZl1QOeR7phrN7gePAuHwT0jBSSfjzSTchPWT7J0l3km5e+odUIG4ssAPoTSpv8BKwCngNqAZ6AM/ZXpGPfTvQj3SD17u253TwjyIEuje/SwgV4ymg2nZNrma7qmRbNam6bS/SB/uTtmslvQJMJd11/yYww/Z2SVcDb5DqO80GbrK9V1KV7ROSZpPmIngEQNKLpHIf90uqAtZJ+jwfe0Q+/jFgvaRP2nLnawgtEckhhJZZnefGOCrpCPBxXr8FuCxXwL0G+DBVMQDgzPx9DbBI0hJSgbjG3EgqGjgrL/cilUcA+Mz2bwCSlgOjgEgOoUNFcgihZUrr85wsWT5J+js6gzSXQE3DJ9qekc8kxgMbJF3ZyOsLuMP2tv+tTM9r2PcbfcGhw8WAdAj1jgJnt+aJeb6MXXl8oW4+38vz42G219qeTZqYZ3Ajx/oUeDQXT0NSbcm2G/K8wb1JYx9rWtPGEE5FJIcQstx1syZP5j63FS8xBXhA0iZgK/VT0M6VtCW/7tfAJlJp6UslfS9pMvA8aSB6s6StebnOOtLcHJuBZTHeEDpDXK0UwmksX63038B1CJ0lzhxCCCGUiTOHEEIIZeLMIYQQQplIDiGEEMpEcgghhFAmkkMIIYQykRxCCCGU+RdQceB5QV9lNQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df.plot('timestep',['fractionOfSupplyForVoting'])"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f0f53648b50>"
]
},
"execution_count": 31,
"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": [
"df.plot('timestep',['fractionOfSupplyInPool'])"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f0fa8b5ac50>"
]
},
"execution_count": 32,
"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": [
"df.plot('timestep',['percentageOfActiveProposals','percentageOfCompletedProposals','percentageOfKilledProposals'])"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f0f50b8fc50>"
]
},
"execution_count": 33,
"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": [
"df.plot('timestep',['percentageOfActiveFundsRequested','percentageOfCompletedFundsRequested','percentageOfKilledFundsRequested'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As expected *effective_supply* is increasing with the arrival of new participants."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Conclusion\n",
"\n",
"We have created a conviction voting model that closely adheres to the 1Hive implementation. This notebook describes the use case, how the model works, and provides descriptions of how it fits together."
]
}
],
"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
}