Aragon_Conviction_Voting/models/v3/Aragon_Conviction_Voting_Mo...

1728 lines
631 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 model are the following elements:\n",
"\n",
"* Adding the realism that not all participant tokens are being allocated to proposals.\n",
"* Refactored parameters and system initialization to make more readable and consistent.\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.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## TODO:\n",
"* Move params to M. Pass params into confiction helper functions. Update run time, review conviction3 code (Andrew)\n",
"* Update diff spec (Andrew)\n",
"* Effective supply: sum of the holding of all agents - state variable (Andrew, Z review)\n",
"* Actual supply - state the gets initialized but grows whenever a mint happens (Andrew, Z review)\n",
"* Denominate the model in honey (Andrew, Z review)\n",
"* Add for next steps, to add a uniswap instance. Natural next step, add a paragraph about how it is a next step (Jeff)\n",
"* Factor the trigger function out. Trigger function notebook and how alpha notebook. (Andrew structure, Z work)\n",
"* Update all write-up, README.MD (Jeff)\n",
"* Directory: (Andrew)\n",
"* README\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 Zargham's PhD Thesis.\n",
"\n",
"The work proceeded in collaboration with the Commons Stack, including expanding on the pythin 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 around allocations 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 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 $h[a]$. In a fixed quantity, homogenous system $h[a] = h$ 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 & Shares 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 $R^+= R-r[i]$. 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 thought of as a matrix $W\\in \\mathbb{R}^{n \\times m}$.\n",
"![Replace this later](https://i.imgur.com/vxKNtxi.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 capacity $\\sum_{k\\in \\mathcal{C}} x[a,k] \\le h[a]$. 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 voting model, a dynamical systems model of this system is introduced.\n",
"\n",
"### Participants Allocate Voting Power\n",
"![](https://i.imgur.com/DZRDwk6.png)\n",
"\n",
"### System Accounts Proposal Conviction\n",
"![](https://i.imgur.com/euAei5R.png)\n",
"\n",
"### Understanding Alpha\n",
"* https://www.desmos.com/calculator/x9uc6w72lm\n",
"* https://www.desmos.com/calculator/0lmtia9jql\n",
"\n",
"\n",
"## Converting Signals to Discrete Decisions\n",
"\n",
"Conviction as kinetic energy and Trigger function as required activation energy.\n",
"\n",
"### The Trigger Function\n",
"\n",
"https://www.desmos.com/calculator/yxklrjs5m3\n",
"\n",
"Below we show a sweep of the trigger function threshold:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
" return false;\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%javascript\n",
"IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
" return false;\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'beta': 0.2,\n",
" 'rho': 0.0025,\n",
" 'alpha': 0.875,\n",
" 'gamma': 0.001,\n",
" 'sensitivity': 0.75,\n",
" 'tmin': 0,\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": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from cadCAD.configuration.utils import config_sim\n",
"from model.model.sys_params import * \n",
"\n",
"sim_config = config_sim({\n",
" 'N': 1,\n",
" 'T': range(60), #day \n",
" 'M': params,\n",
"})\n",
"sim_config[0]['M']"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"for reference: max conviction = 5.25318713934522in log10 units\n"
]
},
{
"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"
]
}
],
"source": [
"from model.model.conviction_helper_functions import *\n",
"from model.model.sys_params import initial_values \n",
"\n",
"import warnings\n",
"warnings.filterwarnings(\"ignore\")\n",
"\n",
"\n",
"supply = initial_values['supply']\n",
"alpha = sim_config[0]['M']['alpha']\n",
"\n",
"mcv = supply/(1-alpha)\n",
"print('for reference: max conviction = '+str(np.log10(mcv))+'in log10 units')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'beta': 0.2,\n",
" 'rho': 0.0025,\n",
" 'alpha': 0.875,\n",
" 'gamma': 0.001,\n",
" 'sensitivity': 0.75,\n",
" 'tmin': 0,\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": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sim_config[0]['M']"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"supply_sweep = trigger_sweep('effective_supply',trigger_threshold, sim_config[0]['M'], supply)\n",
"alpha_sweep = trigger_sweep('alpha',trigger_threshold, sim_config[0]['M'], supply)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"scrolled": true,
"tags": []
},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1440x1440 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"trigger_grid(supply_sweep, alpha_sweep)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Resolving Passed Proposals\n",
"\n",
"![](images/stockflow_cv_trigger.png)\n",
"\n",
"\n",
"## Social Systems Modeling\n",
"\n",
"Subjective, exploratory modeling of the social system interacting through the conviction voting algorithm.\n",
"\n",
"### Sentiment\n",
"\n",
"Global Sentiment -- the outside world appreciating the output of the community\n",
"Local Sentiment -- agents within the system feeling good about the community\n",
"\n",
"### Social Networks\n",
"\n",
"Preferences as mixing process (social influence)\n",
"\n",
"### Relationships between Proposals\n",
"\n",
"Some proposals are synergistic (passing one makes the other more desireable)\n",
"Some proposals are (parially) substitutable (passing one makes the other less desirable)\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",
"$$F^+ = F + minted$$\n",
"$$S^+ = S + minted$$\n",
"\n",
"\n",
"Arrival of new funds which come from outside:\n",
"$$L+ = L - donated$$\n",
"$$F+ = F + donated$$\n",
"The above assumes the donated tokens were not in use for voting\n",
"$$L+ = L + tokens$$ that haven't been used in voting recently\n",
"$$E+ = E - tokens$$ that haven't been used in voting recently\n",
"$$L+ = L - tokens$$ that come into use\n",
"$$E+ = E - tokens$$ that come into use\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. Metrics can often be thought of as KPIs, or Key Performance Indicators. \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_v2.png)\n",
"\n",
"## Schema of the states - UPDATE\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*, which is a numpy floating point, and effective supply, as supply.\n",
"\n",
"The system consists of 100 time steps without a parameter sweep or monte carlo.\n",
"\n",
" \n",
"## Partial State Update Blocks - TODO: UPDATE\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",
" 'funds':increment_funds,\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 funds state variable is updated for the increase in system funds. \n",
"[To see the partial state update code, click here](model/model/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/model/participants.py), the *check_progress* behavior checks for the completion of previously funded proposals. The code calculates the completion and failure rates as follows:\n",
"\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/model/proposals.py) checks to see if each proposal passes or not. If a proposal passes, funds are decremented by the amount of the proposal, while the proposal's status is changed in the network object."
]
},
{
"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/model/participants.py). Proposals that participants have high affinity for receive more support and pledged tokens than proposals with lower affinity and sentiment. We then update everyone's holdings and their conviction for each proposal.\n"
]
},
{
"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",
"* Mixing of token holdings among participants\n",
"* Departure of participants\n",
"* Proposals which are good or no good together\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."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"from model import config"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# pull out configurations to illustrate\n",
"sim_config,genesis_states,seeds,partial_state_update_blocks = config.get_configs()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'N': 1,\n",
" 'T': range(0, 60),\n",
" 'M': {'beta': 0.2,\n",
" 'rho': 0.0025,\n",
" 'alpha': 0.875,\n",
" 'gamma': 0.001,\n",
" 'sensitivity': 0.75,\n",
" 'tmin': 0,\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},\n",
" 'subset_id': 0,\n",
" 'subset_window': deque([0, None]),\n",
" 'simulation_id': 0,\n",
" 'run_id': 0}]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sim_config"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'policies': {'random': <function model.model.system.driving_process(params, step, sL, s)>},\n",
" 'variables': {'network': <function model.model.system.update_network(params, step, sL, s, _input)>,\n",
" 'effective_supply': <function model.model.system.increment_supply(params, step, sL, s, _input)>}},\n",
" {'policies': {'random': <function model.model.system.minting_rule(params, step, sL, s)>},\n",
" 'variables': {'total_supply': <function model.model.system.mint_to_supply(params, step, sL, s, _input)>,\n",
" 'funds': <function model.model.system.mint_to_funds(params, step, sL, s, _input)>}},\n",
" {'policies': {'completion': <function model.model.participants.check_progress(params, step, sL, s)>},\n",
" 'variables': {'sentiment': <function model.model.participants.update_sentiment_on_completion(params, step, sL, s, _input)>,\n",
" 'network': <function model.model.participants.complete_proposal(params, step, sL, s, _input)>}},\n",
" {'policies': {'release': <function model.model.proposals.trigger_function(params, step, sL, s)>},\n",
" 'variables': {'funds': <function model.model.proposals.decrement_funds(params, step, sL, s, _input)>,\n",
" 'sentiment': <function model.model.proposals.update_sentiment_on_release(params, step, sL, s, _input)>,\n",
" 'network': <function model.model.proposals.update_proposals(params, step, sL, s, _input)>}},\n",
" {'policies': {'participants_act': <function model.model.participants.participants_decisions(params, step, sL, s)>},\n",
" 'variables': {'network': <function model.model.participants.update_tokens(params, step, sL, s, _input)>}}]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partial_state_update_blocks"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Initialization\n",
"To create the genesis_states, we create our in-memory graph database within networkx. \n",
"\n",
"\n",
"### Parameters\n",
"\n",
"Initial values are the starting values for the simulation and sys_params are global hyperparameters for the simulation.\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"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": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from model.model.sys_params import initial_values \n",
"\n",
"initial_values"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"$n$ is initial participants, whereas $m$ is initial proposals"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'beta': 0.2,\n",
" 'rho': 0.0025,\n",
" 'alpha': 0.875,\n",
" 'gamma': 0.001,\n",
" 'sensitivity': 0.75,\n",
" 'tmin': 0,\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": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sim_config[0]['M']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* $\\alpha$ : 0.875 The decay rate for previously accumulated conviction\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",
"\n",
"* tmin = 7 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"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# import libraries\n",
"import networkx as nx\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"from model.model.conviction_helper_functions import * \n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"\n",
"network = initialize_network(initial_values['n'],initial_values['m'],\n",
" initial_values['initial_funds'],\n",
" initial_values['supply'],sim_config[0]['M'])\n",
"initial_funds = initial_values['initial_funds']\n",
"\n",
"genesis_states = { \n",
" 'network': network,\n",
" 'funds':initial_values['initial_funds'],\n",
" 'sentiment': initial_values['initial_sentiment'],\n",
" 'effective_supply': initial_values['supply']-initial_values['initial_funds'],\n",
" 'total_supply': initial_values['supply']\n",
"\n",
"}\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": 15,
"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(network, 'proposal')\n",
"participants = get_nodes_by_type(network, 'participant')\n",
"supporters = get_edges_by_type(network, 'support')\n",
"influencers = get_edges_by_type(network, 'influence')\n",
"competitors = get_edges_by_type(network, 'conflict')"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'type': 'participant',\n",
" 'holdings': 316.54596362304994,\n",
" 'sentiment': 0.1553685333489736}"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#sample a participant\n",
"network.nodes[participants[0]]"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Count of Participants')"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Let's look at the distribution of participant holdings at the start of the sim\n",
"plt.hist([ network.nodes[i]['holdings'] for i in participants])\n",
"plt.title('Histogram of Participants Token Holdings')\n",
"plt.xlabel('Amount of Honey')\n",
"plt.ylabel('Count of Participants')\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Participants Social Network')"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"nx.draw_spring(network, nodelist = participants, edgelist=influencers)\n",
"plt.title('Participants Social Network')"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'type': 'proposal',\n",
" 'conviction': 0,\n",
" 'status': 'candidate',\n",
" 'age': 0,\n",
" 'funds_requested': 2141.714746492425,\n",
" 'trigger': inf}"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#lets look at proposals\n",
"network.nodes[proposals[0]]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Proposals initially start without any conviction, and with the status of a candidate. If the proposal's amount of conviction is greater than it's trigger, then the proposal moves to active and it's funds requested are granted. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"All initial proposal start with 0 conviction and state 'candidate'we can simply examine the amounts of funds requested"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"funds_array = np.array([ network.nodes[i]['funds_requested'] for i in proposals])\n",
"conviction_required = np.array([trigger_threshold(r, initial_funds, supply, alpha,sim_config[0]['M']) for r in funds_array])"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Amount of Honey requested(as a Fraction of Funds available)')"
]
},
"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": [
"plt.bar( proposals, funds_array/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": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Amount of Conviction')"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"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": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 55.73999999999998, 'Participant_id')"
]
},
"execution_count": 23,
"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] = 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": 24,
"metadata": {},
"outputs": [],
"source": [
"from cadCAD.configuration import Experiment\n",
"\n",
"# Create configuration\n",
"exp = Experiment()\n",
"\n",
"exp.append_configs(\n",
" sim_configs=sim_config,\n",
" initial_state=genesis_states,\n",
" seeds=seeds,\n",
" partial_state_update_blocks=partial_state_update_blocks\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 25,
"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) = (60, 11, 1, 5)\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: 91.82s\n"
]
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from model.model.conviction_helper_functions import *\n",
"from model import run\n",
"from cadCAD import configs\n",
"pd.options.display.float_format = '{:.2f}'.format\n",
"\n",
"%matplotlib inline\n",
"\n",
"rdf = run.run(configs)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"After the simulation has run successfully, we perform some postprocessing to extract node and edge values from the network object and add as columns to the pandas dataframe. For the rdf, we take only the values at the last substep of each timestep in the simulation."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"df= run.postprocessing(rdf,0)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"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>simulation</th>\n",
" <th>subset</th>\n",
" <th>run</th>\n",
" <th>substep</th>\n",
" <th>timestep</th>\n",
" <th>...</th>\n",
" <th>funds_requested</th>\n",
" <th>share_of_funds_requested</th>\n",
" <th>share_of_funds_requested_all</th>\n",
" <th>triggers</th>\n",
" <th>conviction_share_of_trigger</th>\n",
" <th>age</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",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5</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>17525.01</td>\n",
" <td>22414.61</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>1</td>\n",
" <td>...</td>\n",
" <td>[1595.0421987193204, 2494.344628102797, 2363.4...</td>\n",
" <td>[0.3497660585741865]</td>\n",
" <td>[0.3262110345490068, 0.5101324230220914, 0.483...</td>\n",
" <td>[inf]</td>\n",
" <td>[0.0]</td>\n",
" <td>[1]</td>\n",
" <td>[1, 1, 1, 1, 1, 1, 1]</td>\n",
" <td>[0.0, 0.0, 0.0, 0.0, 7.215686217212743, 0.0, 0.0]</td>\n",
" <td>[inf, inf, inf, inf, inf, 226995.283259412, inf]</td>\n",
" <td>[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</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>17525.99</td>\n",
" <td>22437.03</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>[1595.0421987193204, 2494.344628102797, 2363.4...</td>\n",
" <td>[0.34816999918790076, 0.019712554176434215]</td>\n",
" <td>[0.32472246191355914, 0.5078045766743577, 0.48...</td>\n",
" <td>[inf, 10794.257352359262]</td>\n",
" <td>[0.0, 0.16591253044853824]</td>\n",
" <td>[2, 1]</td>\n",
" <td>[2, 2, 2, 2, 2, 2, 2, 1]</td>\n",
" <td>[0.0, 0.0, 0.0, 0.0, 2179.0300378288057, 0.0, ...</td>\n",
" <td>[nan, nan, nan, nan, inf, nan, nan, 10794.2573...</td>\n",
" <td>[nan, nan, nan, nan, 0.0, nan, nan, 0.16591253...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</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>17525.99</td>\n",
" <td>22459.46</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>3</td>\n",
" <td>...</td>\n",
" <td>[1595.0421987193204, 2494.344628102797, 2363.4...</td>\n",
" <td>[0.34658686560572693, 0.019622920932386982, 0....</td>\n",
" <td>[0.32324594459288075, 0.5054955825611662, 0.47...</td>\n",
" <td>[inf, 10784.039844676328, 10038.988431151754]</td>\n",
" <td>[0.0, 0.16767410493517743, 0.0676098125520172]</td>\n",
" <td>[3, 2, 1]</td>\n",
" <td>[3, 3, 3, 3, 3, 3, 3, 2, 1]</td>\n",
" <td>[0.0, 0.0, 0.0, 0.0, 5890.347248494404, 0.0, 0...</td>\n",
" <td>[nan, nan, nan, nan, inf, nan, nan, 10784.0398...</td>\n",
" <td>[nan, nan, nan, nan, 0.0, nan, nan, 0.16767410...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</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>17525.99</td>\n",
" <td>22481.92</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>...</td>\n",
" <td>[1595.0421987193204, 2494.344628102797, 2363.4...</td>\n",
" <td>[0.3450165022212967, 0.019534010706450017, 0.0...</td>\n",
" <td>[0.32178133745992704, 0.5032052137312398, 0.47...</td>\n",
" <td>[inf, 10773.32486563405, 10032.570509508532, 1...</td>\n",
" <td>[0.0, 0.29018493662687905, 0.12684949336988674...</td>\n",
" <td>[4, 3, 2, 1]</td>\n",
" <td>[4, 4, 4, 4, 4, 4, 4, 3, 2, 1, 1]</td>\n",
" <td>[0.0, 0.0, 0.0, 0.0, 7518.415456879907, 0.0, 0...</td>\n",
" <td>[nan, nan, nan, nan, inf, nan, nan, 10773.3248...</td>\n",
" <td>[nan, nan, nan, nan, 0.0, nan, nan, 0.29018493...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</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>17525.99</td>\n",
" <td>22504.41</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>...</td>\n",
" <td>[1595.0421987193204, 2494.344628102797, 2363.4...</td>\n",
" <td>[0.3434587559158705, 0.01944581482940582, 0.01...</td>\n",
" <td>[0.3203284977077525, 0.5009332468614979, 0.474...</td>\n",
" <td>[inf, 10762.71208704474, 10026.210435699022, 1...</td>\n",
" <td>[0.0, 0.3383280289679279, 0.19857705818729582,...</td>\n",
" <td>[5, 4, 3, 2, 1, 1]</td>\n",
" <td>[5, 5, 5, 5, 5, 5, 5, 4, 3, 2, 2, 1, 1]</td>\n",
" <td>[0.0, 0.0, 0.0, 0.0, 8718.352575520581, 0.0, 0...</td>\n",
" <td>[nan, nan, nan, nan, inf, nan, nan, 10762.7120...</td>\n",
" <td>[nan, nan, nan, nan, 0.0, nan, nan, 0.33832802...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 33 columns</p>\n",
"</div>"
],
"text/plain": [
" network funds sentiment \\\n",
"5 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4889.60 0.60 \n",
"10 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4912.02 0.60 \n",
"15 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4934.45 0.60 \n",
"20 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4956.91 0.60 \n",
"25 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4979.40 0.60 \n",
"\n",
" effective_supply total_supply simulation subset run substep \\\n",
"5 17525.01 22414.61 0 0 1 5 \n",
"10 17525.99 22437.03 0 0 1 5 \n",
"15 17525.99 22459.46 0 0 1 5 \n",
"20 17525.99 22481.92 0 0 1 5 \n",
"25 17525.99 22504.41 0 0 1 5 \n",
"\n",
" timestep ... funds_requested \\\n",
"5 1 ... [1595.0421987193204, 2494.344628102797, 2363.4... \n",
"10 2 ... [1595.0421987193204, 2494.344628102797, 2363.4... \n",
"15 3 ... [1595.0421987193204, 2494.344628102797, 2363.4... \n",
"20 4 ... [1595.0421987193204, 2494.344628102797, 2363.4... \n",
"25 5 ... [1595.0421987193204, 2494.344628102797, 2363.4... \n",
"\n",
" share_of_funds_requested \\\n",
"5 [0.3497660585741865] \n",
"10 [0.34816999918790076, 0.019712554176434215] \n",
"15 [0.34658686560572693, 0.019622920932386982, 0.... \n",
"20 [0.3450165022212967, 0.019534010706450017, 0.0... \n",
"25 [0.3434587559158705, 0.01944581482940582, 0.01... \n",
"\n",
" share_of_funds_requested_all \\\n",
"5 [0.3262110345490068, 0.5101324230220914, 0.483... \n",
"10 [0.32472246191355914, 0.5078045766743577, 0.48... \n",
"15 [0.32324594459288075, 0.5054955825611662, 0.47... \n",
"20 [0.32178133745992704, 0.5032052137312398, 0.47... \n",
"25 [0.3203284977077525, 0.5009332468614979, 0.474... \n",
"\n",
" triggers \\\n",
"5 [inf] \n",
"10 [inf, 10794.257352359262] \n",
"15 [inf, 10784.039844676328, 10038.988431151754] \n",
"20 [inf, 10773.32486563405, 10032.570509508532, 1... \n",
"25 [inf, 10762.71208704474, 10026.210435699022, 1... \n",
"\n",
" conviction_share_of_trigger age \\\n",
"5 [0.0] [1] \n",
"10 [0.0, 0.16591253044853824] [2, 1] \n",
"15 [0.0, 0.16767410493517743, 0.0676098125520172] [3, 2, 1] \n",
"20 [0.0, 0.29018493662687905, 0.12684949336988674... [4, 3, 2, 1] \n",
"25 [0.0, 0.3383280289679279, 0.19857705818729582,... [5, 4, 3, 2, 1, 1] \n",
"\n",
" age_all \\\n",
"5 [1, 1, 1, 1, 1, 1, 1] \n",
"10 [2, 2, 2, 2, 2, 2, 2, 1] \n",
"15 [3, 3, 3, 3, 3, 3, 3, 2, 1] \n",
"20 [4, 4, 4, 4, 4, 4, 4, 3, 2, 1, 1] \n",
"25 [5, 5, 5, 5, 5, 5, 5, 4, 3, 2, 2, 1, 1] \n",
"\n",
" conviction_all \\\n",
"5 [0.0, 0.0, 0.0, 0.0, 7.215686217212743, 0.0, 0.0] \n",
"10 [0.0, 0.0, 0.0, 0.0, 2179.0300378288057, 0.0, ... \n",
"15 [0.0, 0.0, 0.0, 0.0, 5890.347248494404, 0.0, 0... \n",
"20 [0.0, 0.0, 0.0, 0.0, 7518.415456879907, 0.0, 0... \n",
"25 [0.0, 0.0, 0.0, 0.0, 8718.352575520581, 0.0, 0... \n",
"\n",
" triggers_all \\\n",
"5 [inf, inf, inf, inf, inf, 226995.283259412, inf] \n",
"10 [nan, nan, nan, nan, inf, nan, nan, 10794.2573... \n",
"15 [nan, nan, nan, nan, inf, nan, nan, 10784.0398... \n",
"20 [nan, nan, nan, nan, inf, nan, nan, 10773.3248... \n",
"25 [nan, nan, nan, nan, inf, nan, nan, 10762.7120... \n",
"\n",
" conviction_share_of_trigger_all \n",
"5 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] \n",
"10 [nan, nan, nan, nan, 0.0, nan, nan, 0.16591253... \n",
"15 [nan, nan, nan, nan, 0.0, nan, nan, 0.16767410... \n",
"20 [nan, nan, nan, nan, 0.0, nan, nan, 0.29018493... \n",
"25 [nan, nan, nan, nan, 0.0, nan, nan, 0.33832802... \n",
"\n",
"[5 rows x 33 columns]"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff300a0b310>"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEGCAYAAABrQF4qAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nO3df5RV5X3v8feHgWFEUH6NCAy/jFhRiagT/NVWY4oiiZqkTYttevUmq660MTc3TXLVFRdGkrTJalZsb2uSUi/XtvdWtOYXjSRGE7l1+QMZlKgMogRBB2YAB5jh1wAD3/vH2aPHcXCOcM7Zc/b5vNY6a85+9t7nfJ+ZM9955tnPfh5FBGZmll2D0g7AzMxKy4nezCzjnOjNzDLOid7MLOOc6M3MMm5w2gH0Nnbs2Jg6dWraYZiZVZRVq1a9ERH1fe0bcIl+6tSpNDU1pR2GmVlFkbTpaPvcdWNmlnFO9GZmGedEb2aWcQOuj74vhw4doqWlha6urrRDyZS6ujoaGhoYMmRI2qGYWQlVRKJvaWlhxIgRTJ06FUlph5MJEUF7ezstLS1MmzYt7XDMrIT67bqRtFjSNkkvHmW/JP1PSeslPS/p/Lx9N0h6JXnccKxBdnV1MWbMGCf5IpLEmDFj/F+SWRUopI/+XmDuu+y/GpiePG4CvgcgaTRwB3AhMBu4Q9KoYw3USb74/D01qw79dt1ExH9Kmvouh1wH/Evk5jt+WtJISeOBy4FHImIHgKRHyP3BuO94gzazyvPQ862sa+tMO4wB7dSTT+CPL5xc9NctRh/9ROD1vO2WpOxo5e8g6SZy/w0weXLxKzlQrF69mi1btjBv3jwAli5dSnNzM7feemvJ3nP58uXU1tZyySWXlOw9zPpz5EjwhQdWc7D7CP5H8uhmTRo5YBP9cYuIRcAigMbGxsyuhLJ69WqampreTPTXXnst1157bUnfc/ny5QwfPtyJ3lK1Y99BDnYf4c5rz+aGS6amHU7VKcY4+s3ApLzthqTsaOUVae/evXz4wx/m3HPP5ZxzzuH+++9n1apVXHbZZVxwwQVcddVVtLa2AnD55Zdzyy23MHv2bM444wwef/xxDh48yIIFC7j//vuZNWsW999/P/feey8333wzADfeeCN//ud/zkUXXcRpp53G8uXL+dSnPsWMGTO48cYb34zjF7/4BRdffDHnn38+n/jEJ9izZw+Qmzrijjvu4Pzzz2fmzJm89NJLbNy4ke9///vcddddzJo1i8cff7zs3zczgLaO3EX/U0+uSzmS6lSMFv1S4GZJS8hdeO2IiFZJDwN/lXcB9krgtuN9szv/Yw3NW4rbz3fWhJO445qz3/WYn//850yYMIGHHnoIgI6ODq6++mp+8pOfUF9fz/33389XvvIVFi9eDEB3dzfPPPMMy5Yt48477+TRRx9l4cKFNDU18Q//8A8A3HvvvW97j507d/LUU0+xdOlSrr32Wp544gnuuecePvCBD7B69WoaGhr4+te/zqOPPsqJJ57It771Lb7zne+wYMECAMaOHcuzzz7Ld7/7Xb797W9zzz338JnPfIbhw4fzpS99qajfM7P3Ysuu/QCMd6JPRb+JXtJ95C6sjpXUQm4kzRCAiPg+sAyYB6wH9gH/Ndm3Q9LXgJXJSy3suTBbiWbOnMkXv/hFbrnlFj7ykY8watQoXnzxRebMmQPA4cOHGT9+/JvHf/zjHwfgggsuYOPGjQW9xzXXXIMkZs6cybhx45g5cyYAZ599Nhs3bqSlpYXm5mYuvfRSAA4ePMjFF1/c53v+8Ic/PO46mxVLW6db9GkqZNTN9f3sD+CzR9m3GFh8bKH1rb+Wd6mcccYZPPvssyxbtozbb7+dK664grPPPpunnnqqz+OHDh0KQE1NDd3d3QW9R885gwYNevN5z3Z3dzc1NTXMmTOH++7re+DSsbynWTm0dnQxeJAYe+LQ/g+2ovNcNwXasmULw4YN45Of/CRf/vKXWbFiBdu3b38z0R86dIg1a9a862uMGDGC3bt3H3MMF110EU888QTr168HctcNXn755ZK+p1kxtHV0Me6kOgYN8pCbNDjRF+iFF15g9uzZzJo1izvvvJOFCxfy4IMPcsstt3Duuecya9YsnnzyyXd9jQ9+8IM0Nze/eTH2vaqvr+fee+/l+uuv5/3vfz8XX3wxL7300ruec8011/CjH/3IF2MtVa0d+5kw0t02aVGu52XgaGxsjN4Lj6xdu5YZM2akFFG2+Xtr5XD53zzGzIaR/P3156UdSmZJWhURjX3tc4vezEoqImjt6PKImxQ50ZtZSe3ad4gD3Uc49SQn+rRUTKIfaF1MWeDvqZXDlg6PoU9bRST6uro62tvbnZiKqGc++ro6//JZafmu2PQNiLlu+tPQ0EBLSwvbt29PO5RM6VlhyqyUWpNEP/7kE1KOpHpVRKIfMmSIV0Eyq1BtHV3UDBL1I3yzVFoqouvGzCpXa0cX40YMpcY3S6XGid7MSqqtc7/751PmRG9mJZUbQ+/++TQ50ZtZyUQErbu63KJPmRO9mZVM5/5u9h867DH0KXOiN7OSae3M3SzlFn26nOjNrGTeGkPvRJ+mghK9pLmS1klaL+nWPvZPkfRLSc9LWi6pIW/fYUmrk8fSYgZvZgNbm2+WGhAKWUqwBrgbmAO0ACslLY2I5rzDvg38S0T8s6QrgL8G/jTZtz8iZhU5bjOrAK0dXQwSvlkqZYW06GcD6yNiQ0QcBJYA1/U65izgV8nzx/rYb2ZVqK1jP/UjhjKkxr3EaSrkuz8ReD1vuyUpy/dr4OPJ848BIySNSbbrJDVJelrSR/t6A0k3Jcc0eT4bs+xo7ejiVHfbpK5Yf2a/BFwm6TngMmAzcDjZNyVZ9eSPgb+V9L7eJ0fEoohojIjG+vr6IoVkZmlr7ehivOehT10hiX4zMClvuyEpe1NEbImIj0fEecBXkrJdydfNydcNwHLAa4mZVYm2Dt8sNRAUkuhXAtMlTZNUC8wH3jZ6RtJYST2vdRuwOCkfJWlozzHApUD+RVwzy6jdXYfYc6DbQysHgH4TfUR0AzcDDwNrgQciYo2khZKuTQ67HFgn6WVgHPCNpHwG0CTp1+Qu0n6z12gdM8soLzgycBQ0H31ELAOW9SpbkPf8QeDBPs57Eph5nDGaWQXquVlqwkhfjE2bxzyZWUm82aL3xdjUOdGbWUn0tOjHOdGnzonezEqitWM/Y4cPpXaw00za/BMws5LILTji1vxA4ERvZiXhMfQDhxO9mZVEa8d+t+gHCCd6Myu6vQe66ezq9vTEA4QTvZkVXVunFxwZSJzozazofFfswOJEb2ZFt2VXbq1Yt+gHBid6Myu6Nt8sNaA40ZtZ0bV2djH6xFrqhtSkHYrhRG9mJdDW0eU5bgYQJ3ozK7rWji4mjHSiHyic6M2s6No69nvEzQBS0Hz0ZpZdv1y7lUfXbiviKwY79x3yzVIDSEGJXtJc4O+AGuCeiPhmr/1TyC0fWA/sAD4ZES3JvhuA25NDvx4R/1yk2M3sOB05Etz+4xfZte8Qw+uK1+6bOPIEZk8bXbTXs+PT709WUg1wNzAHaAFWSlraa0nAbwP/EhH/LOkK4K+BP5U0GrgDaAQCWJWcu7PYFTGz9251yy5aO7q464/O5WPnNaQdjpVIIX30s4H1EbEhIg4CS4Dreh1zFvCr5PljefuvAh6JiB1Jcn8EmHv8YZtZMSx7vpXamkF8aMa4tEOxEiok0U8EXs/bbknK8v0a+Hjy/GPACEljCjwXSTdJapLUtH379kJjN7PjEBH87MU2fmf6WE6qG5J2OFZCxRp18yXgMknPAZcBm4HDhZ4cEYsiojEiGuvr64sUkpm9m1+3dLB5136unjk+7VCsxAq5+rIZmJS33ZCUvSkitpC06CUNB34/InZJ2gxc3uvc5ccRr5kVyc9eaGVIjZjjbpvMK6RFvxKYLmmapFpgPrA0/wBJYyX1vNZt5EbgADwMXClplKRRwJVJmZmlKCJ46IVWLj19LCcPc7dN1vWb6COiG7iZXIJeCzwQEWskLZR0bXLY5cA6SS8D44BvJOfuAL5G7o/FSmBhUmZmKXpxcyctO/czz902VaGggbMRsQxY1qtsQd7zB4EHj3LuYt5q4ZvZAPDQC60MHiSuPMvdNtXAUyCYVZncaJtWLjl9LCOH1aYdjpWBE71ZlWlu7WRT+z7mnXNq2qFYmTjRm1WZZS+0UjNIXHm2E321cKI3qyIRwbIX2rj4tDGMPtHdNtXCid6sirzUtptX39jL1TPdmq8mTvRmVeRnL7QySHCVu22qihO9WRX52YttXDhtDGOHD007FCsjJ3qzKrGts4tXtu3hg2d6Pqlq40RvViVWvJq7Kf3CaWNSjsTKzYnerEo8vaGd4UMHc/aEk9IOxcrMid6sSqx4dQeNU0cxuMa/9tXGP3GzKvDGngOs37bH3TZVyonerAqs2JDrn7/oNC/YXY2c6M2qwIpX2xlWW8M5E09OOxRLgRO9WRV4ekM7F0wZxRD3z1elgn7qkuZKWidpvaRb+9g/WdJjkp6T9LykeUn5VEn7Ja1OHt8vdgXM7N3t2HuQl7fu4aLT3D9frfpdeERSDXA3MAdoAVZKWhoRzXmH3U5u5anvSTqL3CIlU5N9v4mIWcUN28wK9cyr7YD756tZIS362cD6iNgQEQeBJcB1vY4JoGdw7snAluKFaGbH4+kNO6gbMoiZE0emHYqlpJBEPxF4PW+7JSnL91Xgk5JayLXmP5e3b1rSpfP/JP1OX28g6SZJTZKatm/fXnj0Ztavpze00zhlNLWD3T9frYr1k78euDciGoB5wL9KGgS0ApMj4jzgL4F/k/SO2/IiYlFENEZEY3295+EwK5Zd+w6ybutuLpzmbptqVkii3wxMyttuSMryfRp4ACAingLqgLERcSAi2pPyVcBvgDOON2gzK8yKV3cQARf6QmxVKyTRrwSmS5omqRaYDyztdcxrwIcAJM0gl+i3S6pPLuYi6TRgOrChWMGb2btbsWEHQwcP4txJHj9fzfoddRMR3ZJuBh4GaoDFEbFG0kKgKSKWAl8E/knSF8hdmL0xIkLS7wILJR0CjgCfiYgdJauNmb3NilfbOX/yKIYOrkk7FEtRv4keICKWkbvIml+2IO95M3BpH+f9APjBccZoZsegY98hmls7+fyHpqcdiqXMl+HNMmrlxqR/3hOZVT0nerOMenpDO7WDB3HeZI+fr3ZO9GYZteLVHcyaNJK6Ie6fr3ZO9GYZtPdAN2u2dHCRx88bTvRmmfRSWydHAt7f4G4bc6I3y6TmLZ0AzPD6sIYTvVkmNbfu5uQThjDh5Lq0Q7EBwIneLIOaWzuZMX4EktIOxQYAJ3qzjDl8JFjX1slZ4z3tgeU40ZtlzKtv7KXr0BFmjB+Rdig2QDjRm2XM2tbchdizfCHWEk70ZhnT3NrJ4EHi9FOGpx2KDRBO9GYZs7a1k9NPGe4ZK+1NTvRmGdO8pZOzxrvbxt7iRG+WIW/sOcC23QfcP29v40RvliE9F2JnuEVveQpK9JLmSlonab2kW/vYP1nSY5Kek/S8pHl5+25Lzlsn6apiBm9mb+dEb33pd4WpZM3Xu4E5QAuwUtLSZFWpHrcDD0TE9ySdRW41qqnJ8/nA2cAE4FFJZ0TE4WJXxMxy/fPjT65j9Im1aYdiA0ghLfrZwPqI2BARB4ElwHW9jgmgpwlxMrAleX4dsCQiDkTEq8D65PXMrATWtu52a97eoZBEPxF4PW+7JSnL91Xgk5JayLXmP/cezkXSTZKaJDVt3769wNDNLF/XocOs377HI27sHYp1MfZ64N6IaADmAf8qqeDXjohFEdEYEY319fVFCsmsuqzftofDR8ItenuHfvvogc3ApLzthqQs36eBuQAR8ZSkOmBsgeeaWRH0zEHvoZXWWyGt7pXAdEnTJNWSu7i6tNcxrwEfApA0A6gDtifHzZc0VNI0YDrwTLGCN7O3NLd2Mqy2himjh6Udig0w/bboI6Jb0s3Aw0ANsDgi1khaCDRFxFLgi8A/SfoCuQuzN0ZEAGskPQA0A93AZz3ixqw0mls7OfPUEQwa5Dno7e0K6bohIpaRu8iaX7Yg73kzcOlRzv0G8I3jiNHM+hERrG3t5NpzJ6Qdig1AvjPWLANadu5nd1e3++etT070ZhngO2Lt3TjRm2VAc2snEpx5qleVsndyojfLgLWtnUwbcyLDagu67GZVxoneLAOaWzuZ4f55Owr/+bfMa97SyWs79qUdRsl0HznC6zv2M/8Dk9MOxQYoJ3rLtCNHgj/8x6fYc6A77VBK7rzJI9MOwQYoJ3rLtLbOLvYc6Oa/fWg6c88+Ne1wSqZuyCCmjT0x7TBsgHKit0zb2L4XgNlTR3uMuVUtX4y1TNvUnuubnzLG879Y9XKit0zb1L6PITViwsgT0g7FLDVO9JZpm9r3MmnUMGo80ZdVMSd6y7RN7fvcbWNVz4neMisi2NS+lyljPBrFqpsTvWXWG3sOsvfgYbforeo50VtmvbYjN7Ryqlv0VuUKSvSS5kpaJ2m9pFv72H+XpNXJ42VJu/L2Hc7b13sJQrOS2fhGbmjlZLforcr1e8OUpBrgbmAO0AKslLQ0WVUKgIj4Qt7xnwPOy3uJ/RExq3ghmxVm0459DBI0jPLQSqtuhbToZwPrI2JDRBwElgDXvcvx1wP3FSM4s+OxqX0vE0aewNDBNWmHYpaqQhL9ROD1vO2WpOwdJE0BpgG/yiuuk9Qk6WlJHz3KeTclxzRt3769wNDN3t1GD600A4p/MXY+8GBEHM4rmxIRjcAfA38r6X29T4qIRRHRGBGN9fX1RQ7JqtVrHlppBhSW6DcDk/K2G5KyvsynV7dNRGxOvm4AlvP2/nuzkujYd4id+w4x1S16s4IS/UpguqRpkmrJJfN3jJ6RdCYwCngqr2yUpKHJ87HApUBz73PNim1TMrRy8mi36M36HXUTEd2SbgYeBmqAxRGxRtJCoCkiepL+fGBJRETe6TOAf5R0hNwflW/mj9YxK5WeWSunjnWL3qyg+egjYhmwrFfZgl7bX+3jvCeBmccRn9kx2dTe06J3ojfznbGWSZva93HKiKEMq/XaOmZO9JZJm9r3eeoDs4QTvWXSxva9nvrALOFEb5mz72A323Yf8NBKs4QTvWXOazt61ol1140ZONFbBnlBcLO3c6K3zOkZWjnFN0uZAU70lkEb2/cxatgQTh42JO1QzAYEJ3rLnNfa9zHZ/fNmb3Kit8zZ2L7XI27M8jjRW6Yc7D7Cll37PeLGLI8TvWVKy859HAmY4jluzN7kRG+Z4lkrzd7Jid4y5a1ZK911Y9bDid4yZWP7Pk6srWHs8Nq0QzEbMApK9JLmSlonab2kW/vYf5ek1cnjZUm78vbdIOmV5HFDMYM3621Tsk6spLRDMRsw+p2sW1INcDcwB2gBVkpamr9SVER8Ie/4z5GsCytpNHAH0AgEsCo5d2dRa2GW2LRjH781bkTaYZgNKIWsyjAbWJ8s7o2kJcB1HH3t1+vJJXeAq4BHImJHcu4jwFx6LSBu1WnH3oOsa9tdtNcLgtd37OPKs04t2muaZUEhiX4i8HredgtwYV8HSpoCTAN+9S7nTuzjvJuAmwAmT55cQEiWBZ9f8hyPv/JG0V/3jHHDi/6aZpWs2OuszQcejIjD7+WkiFgELAJobGyMfg63jNjUvo/fmT6Wv7j89KK9Zu1gcW7DyKK9nlkWFJLoNwOT8rYbkrK+zAc+2+vcy3udu7zw8CyrIoKtnV3MPedULn7fmLTDMcu0QkbdrASmS5omqZZcMl/a+yBJZwKjgKfyih8GrpQ0StIo4MqkzKpcx/5DHOg+wikjhqYdilnm9duij4huSTeTS9A1wOKIWCNpIdAUET1Jfz6wJCIi79wdkr5G7o8FwMKeC7NW3do6uwA49eS6lCMxy76C+ugjYhmwrFfZgl7bXz3KuYuBxccYn2XU1s4DAJx6khO9Wan5zlhLxdaOXIt+nBO9Wck50VsqerpuTjnJffRmpeZEb6lo6+xi9Im1DB1ck3YoZpnnRG+p2NbZ5W4bszJxordUtHV2Mc7dNmZl4URvqWjrOOARN2Zl4kRvZXfo8BHa9x5w141ZmTjRW9lt332ACA+tNCsXJ3oru7fuinUfvVk5ONFb2flmKbPycqK3stva6URvVk5O9FZ2bZ0HGFIjRg/zAt5m5eBEb2W3tbOLU0bUMWiQF/A2Kwcneiu7rZ1dnp7YrIyc6K3sfFesWXk50VvZbe3wPDdm5VRQopc0V9I6Sesl3XqUY/5QUrOkNZL+La/8sKTVyeMdSxBaddnddYi9Bw97+gOzMup3hSlJNcDdwBygBVgpaWlENOcdMx24Dbg0InZKOiXvJfZHxKwix20VqmdlKbfozcqnkBb9bGB9RGyIiIPAEuC6Xsf8GXB3ROwEiIhtxQ3TssJj6M3Kr5BEPxF4PW+7JSnLdwZwhqQnJD0taW7evjpJTUn5R/t6A0k3Jcc0bd++/T1VwCpLW4cXBTcrt4IWBy/wdaYDlwMNwH9KmhkRu4ApEbFZ0mnAryS9EBG/yT85IhYBiwAaGxujSDHZALR1d0+L3qNuzMqlkBb9ZmBS3nZDUpavBVgaEYci4lXgZXKJn4jYnHzdACwHzjvOmK2Cbe3oYkTdYIbVFquNYWb9KSTRrwSmS5omqRaYD/QePfNjcq15JI0l15WzQdIoSUPzyi8FmrGq1dbZ5RE3ZmXWb7MqIrol3Qw8DNQAiyNijaSFQFNELE32XSmpGTgMfDki2iVdAvyjpCPk/qh8M3+0jlWfts4D7p83K7OC/n+OiGXAsl5lC/KeB/CXySP/mCeBmccfpmXFts4uTq8fm3YYZlXFd8Za2Rw+EmzbfcALjpiVmRO9lU37ngMcPhLuozcrMyd6KxvfFWuWDid6K5s23xVrlgoneiubtxYFd6I3KycneiubbZ1dDBKMHe6LsWbl5ERvZdPW0UX9iKHUeAlBs7Jyorey8V2xZulworey2drplaXM0uBEb2Wz1dMfmKXCid7KouvQYTr2H3KL3iwFTvRWFj0LjjjRm5WfE72VRc8Sgr4Ya1Z+TvRWFm/dFesx9Gbl5kRvZfHmouC+GGtWdk70VhZtHQcYVlvDiKFeQtCs3ApK9JLmSlonab2kW49yzB9Kapa0RtK/5ZXfIOmV5HFDsQK3yrJ1d24MveS7Ys3Krd/mlaQa4G5gDrlFwFdKWpq/JKCk6cBtwKURsVPSKUn5aOAOoBEIYFVy7s7iV8UGsq0dXe6fN0tJIf9HzwbWR8QGAElLgOt4+yLffwbc3ZPAI2JbUn4V8EhE7EjOfQSYC9xXnPDfsmvfQT7x/aeK/bJWJJva9zFv5qlph2FWlQpJ9BOB1/O2W4ALex1zBoCkJ8gtIP7ViPj5Uc6d2PsNJN0E3AQwefLkQmN/m0GDxPRxw4/pXCu9M8aNYP7sY/vZmtnxKdaVscHAdOByoAH4T0kFLwoeEYuARQCNjY1xLAGcVDeE7/7JBcdyqplZphVyMXYzMClvuyEpy9cCLI2IQxHxKvAyucRfyLlmZlZChST6lcB0SdMk1QLzgaW9jvkxudY8ksaS68rZADwMXClplKRRwJVJmZmZlUm/XTcR0S3pZnIJugZYHBFrJC0EmiJiKW8l9GbgMPDliGgHkPQ1cn8sABb2XJg1M7PyUMQxdYmXTGNjYzQ1NaUdhplZRZG0KiIa+9rnO2PNzDLOid7MLOOc6M3MMs6J3sws4wbcxVhJ24FNBR4+FnijhOGUU5bqAtmqT5bqAtmqT5bqAsdXnykRUd/XjgGX6N8LSU1Hu8pcabJUF8hWfbJUF8hWfbJUFyhdfdx1Y2aWcU70ZmYZV+mJflHaARRRluoC2apPluoC2apPluoCJapPRffRm5lZ/yq9RW9mZv1wojczy7iKTPSFLFY+kElaLGmbpBfzykZLeiRZRP2RZFrnAU/SJEmP5S0M//mkvFLrUyfpGUm/TupzZ1I+TdKK5DN3fzJld0WQVCPpOUk/TbYruS4bJb0gabWkpqSsUj9rIyU9KOklSWslXVyqulRcos9brPxq4CzgeklnpRvVe3YvubVz890K/DIipgO/TLYrQTfwxYg4C7gI+Gzy86jU+hwAroiIc4FZwFxJFwHfAu6KiNOBncCnU4zxvfo8sDZvu5LrAvDBiJiVN968Uj9rfwf8PCLOBM4l9zMqTV0ioqIewMXAw3nbtwG3pR3XMdRjKvBi3vY6YHzyfDywLu0Yj7FePwHmZKE+wDDgWXJrJL8BDE7K3/YZHMgPcqu6/RK4AvgpoEqtSxLvRmBsr7KK+6wBJwOvkgyIKXVdKq5FT4ELjlegcRHRmjxvA8alGcyxkDQVOA9YQQXXJ+nqWA1sAx4BfgPsioju5JBK+sz9LfA/gCPJ9hgqty4AAfxC0ipJNyVllfhZmwZsB/530q12j6QTKVFdKjHRZ17k/pxX1LhXScOBHwD/PSI68/dVWn0i4nBEzCLXGp4NnJlySMdE0keAbRGxKu1Yiui3I+J8cl23n5X0u/k7K+izNhg4H/heRJwH7KVXN00x61KJiT6rC45vlTQeIPm6LeV4CiZpCLkk/38j4odJccXWp0dE7AIeI9e9MVJSz9KblfKZuxS4VtJGYAm57pu/ozLrAkBEbE6+bgN+RO4PcSV+1lqAlohYkWw/SC7xl6QulZjoC1msvBItBW5Int9Arq97wJMk4H8BayPiO3m7KrU+9ZJGJs9PIHe9YS25hP8HyWEVUZ+IuC0iGiJiKrnfk19FxJ9QgXUBkHSipBE9z4ErgRepwM9aRLQBr0v6raToQ0AzpapL2hcljvFCxjzgZXJ9p19JO55jiP8+oBU4RO4v+6fJ9Z3+EngFeBQYnXacBdblt8n9e/k8sDp5zKvg+rwfeC6pz4vAgqT8NOAZYD3w78DQtGN9j/W6HPhpJdclifvXyWNNz+9+BX/WZgFNyWftx8CoUtXFUyCYmWVcJXbdmJnZe+BEb2aWcU70ZmYZ50RvZpZxTvRmZhnnRG+ZlMwM+BfJ8wmSHizhe82SNNcXGskAAAIrSURBVK9Ur292vJzoLatGAn8BEBFbIuIP+jn+eMwid++A2YDkcfSWSZKWANeRmw3wFWBGRJwj6Ubgo8CJwHTg20At8KfkpiieFxE7JL2P3HTY9cA+4M8i4iVJnwDuAA4DHcDvkbvx6ARyUwn8NblZIv8eOAcYAnw1In6SvPfHyM1cOBH4PxFxZ4m/FWYM7v8Qs4p0K3BORMxKZtX8ad6+c8jNsllHLknfEhHnSboL+C/kZnxcBHwmIl6RdCHwXXJzxSwAroqIzZJGRsRBSQuAxoi4GUDSX5GbbuBTyXQKz0h6NHnv2cn77wNWSnooIppK+Y0wc6K3avRYROwGdkvqAP4jKX8BeH8yE+clwL/npvIBYGjy9QngXkkPAD+kb1eSm0zsS8l2HTA5ef5IRLQDSPohuSkknOitpJzorRodyHt+JG/7CLnfiUHk5myf1fvEiPhM0sL/MLBK0gV9vL6A34+IdW8rzJ3Xu6/UfadWcr4Ya1m1GxhxLCdGbj79V5P+eJRzbvL8fRGxIiIWkFs4YlIf7/Uw8LlkZk8knZe3b06yLugJ5K4VPHEsMZq9F070lklJ98gTyi3A/jfH8BJ/AnxaUs9Midcl5X+TLE79IvAkuZkUHwPOShas/iPga+Quwj4vaU2y3eMZcnP3Pw/8wP3zVg4edWNWJsmomzcv2pqVi1v0ZmYZ5xa9mVnGuUVvZpZxTvRmZhnnRG9mlnFO9GZmGedEb2aWcf8fKoHHy4PR74QAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df.plot('timestep','sentiment')"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff2dd91cc10>"
]
},
"execution_count": 29,
"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 are the total available funds, whereas candidate funds show how many funds are requested by candidate proposals."
]
},
{
"cell_type": "code",
"execution_count": 30,
"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": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7ff2952258d0>"
]
},
"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(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": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7ff2daacc050>"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAZ8AAAFACAYAAABjinFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdeZwcdZ34/9e7j5npuZNMEnKSw4AccgYQRUARREXxRPDgkBU8WHXXxXu/osguugq/BVwU5RCUU0CQw3ATrkASEnKQO5kkk8x99XRP3/X+/VE1pDOZmXSS6ek53s/Hox9T9anrXd01/e761Kc+JaqKMcYYM5R8hQ7AGGPM2GPJxxhjzJCz5GOMMWbIWfIxxhgz5Cz5GGOMGXKWfIwxxgw5Sz4mJyJyuojUFTqO4UBEviQiT+U478Ui8nIeY+l3/SIyS0RURAKDsB0RkdtFpF1E3jjQ9fWx/hdE5F8Ge72jgYjcISK/LHQcg82SzxASkVoRiYlIREQavYOqvNBxDQYROVdElotIWERaROQ5EZntTbtKRP6yD+sa1olOVf+qqmcNxrpG0JfuKcCZwHRVPbHQwYwk3g+AdxU6juHGks/Q+4SqlgPHAfOBn/aeYTB+qQ4l7x/rTuB7QBUwG/gdkClkXGZQHQzUqmq00IH0Z6T934x1lnwKRFV3AE8CR8I7v46+JSIbgA1e2ddEZKOItInIoyIytWd5b/5vi8hm70zjf0TE503zichPRWSriDSJyJ0iUuVNKxGRv4hIq4h0iMhiEZnsTbtERNaISJe33stz3J1jgC2q+qy6ulT1QVXdJiJnAz8GvuCd8b010LZEpMx7X6Z680dEZGrvqofeZ0ci8gMR2eGtb52InNE7SBGZ7e1zz/v0RxFpypp+l4h81xuuEpFbRaTeW+8vRcTvTdutqktEzvK22Ski/yciL/Y+mxGR33hVVltE5KNe2TXAB4CbvP28ySt/t4g87X3u60TkvKz1TPCOhbBX/TU3h8/nqyKy09uX//DWc5CIdIvIhKx1HycizSIS7BX7pcCfgJO9OH/e+z3w5nvnF773ef1ORB73PpPXRWRu1rxnisha7z27CZCsae/y3sNO79i+r6+dkl3VipeKyDbgOa/8q96x1S4iC0Tk4P62m/1ZSa8zdOlVbbmXY6LPmEVkobe6t7z37gte+Tni1hR0iMirInJU1naPFZE3vfftPqBk4I93hFJVew3RC6gFPuwNzwBWA1d74wo8DYwHQsCHgBbcM6Ri4EZgYda6FHjem38msB74F2/aV4GNwBygHHgIuMubdjnwD6AU8APHA5XetI/jfpkJcBrQDRznTTsdqOtnv+YAceB64INAea/pVwF/6VW2T9sC7gB+mTX+zjzAocB2YKo3PguY20+s24DjveF1wGbgsKxpx3rDDwN/AMqAScAbwOXetIuBl73hGiAMfAYIAN8BUlmfxcXe+Ne89/sbwE5AvOkv9MzrjZd5+3KJt75jvePgcG/6vcD93nxHAjt6YuljX2d5x8k93vzvAZrZdQw+AXwja/7rgRv7WdfF2dvpPZ51TL4r6/NqBU709uOvwL1Z71kX8DkgCPwbkM56z+4BfoL747gEOGUv+3ent38h4FzcY/8wb7s/BV7NcbtXkXWcZq0/kMMx0W/M2e+LN34s0ASc5B0TF+F+NxQDRcBWL7agF2uKrGN/tLwKHsBYenkHWATo8A6w/wNC3jQFPpQ1763Ar7PGy72DcFbW/GdnTf8m8Kw3/Czwzaxph3rLBnAT06vAUTnE+3fgO97w6fSTfLzp78X9UmzGTUR34CWh3v/U+7MtBk4+7/L+mT8MBPeynbuAfwcOwk0+vwa+jltV2OF9eUwGEj2fjbfcBcDz3vDF7Eo+FwKvZc0nuMkjO/lszJpe6n12B3njL7B78vkC8FKvmP8A/Az3iyoFvDtr2n+x9+STPf+vgVuztvWKN+wHGoAT+1nXxex78vlT1rSPAWuz3rNFvd6zuqz37E7gFtzrSwN9lj37Nyer7Eng0qxxH+4Pm4Nz2O5V9JN8cjgm+o2ZPZPPzXg/OrPK1uH+CDuVrB8n3rRXGYXJx6rdht6nVLVaVQ9W1W+qaixr2vas4am4CQoAVY3g/pKc1s/8W71l9ljWG+75B7oLWADc61XF/LqnmkVEPioii7zqng7cL4yaXHZKVRep6nmqOhG3KulU3F+CfTqQbfWx7Y3Ad3G/PJpE5F7JqqLs5UXcxHUqsBD3y/807/WSqjq4X1RBoN6rFunATQCT+ljfVLI+B3W/LXo3lmjImt7tDfbX0ORg4KSe7Xrb/hJuspyI+zn2/tz3pr/j5BHgcHEbhpwJdKrqYLZka8ga7mbXPvf1nmXH+H3cxPCGiKwWka/uZTvZyx4M/G/We9fmrWtaDtsdyN6OiX2J+WDge70+4xlefFOBHV5sPXL5jEccSz7DS/YBtxP3IAXeuRYyAbeapceMrOGZ3jJ7LOtNSwONqppS1Z+r6uHA+4BzgAtFpBh4EPgNMFlVq3GrZYR9pKqLcav6juxjv8hhW7vN74ninjX0OKjXNu9W1VNw91uBX/UT3ou4yfF0b/hl4P24yedFb57tuL9ya7wfCtWqWqmqR/Sxvnpgeta+SfZ4Dnrv63bgxaztVqtquap+A/esMs2en/ve9HmcqGoc92z1y8BXcH+Y5Gq3z0NEDhpg3t7qs2Py3rN3xlW1QVW/pqpTcauJ/08Gbi2W/R5ux60Ky37/Qqr66t6223uf2P0YG/CY2MeYtwPX9IqxVFXv8WKc5sXWI5fPeMSx5DN83QNcIiLHeF/W/wW8rqq1WfNcKSLjRGQG7rWG+7KW/TdxL7CXe8vep6ppEfmgiLzHu1Aaxq3GcXDrmovxvuDEvSieU3NiETlF3MYRk7zxdwOfBBZ5szQCs8S70J/DthqBCeI1kvAsBz4mIuO9L7rvZm3/UBH5kPc+xYGYt097UNUN3vQv437Jh73tfRYv+ahqPfAU8FsRqRS3AcdcETmtj1U+DrxHRD7lXZj+Fr0S41404l4z6/EYcIiIfEVEgt7rBBE5TFUzuEn9KhEpFZHDca8X7M1/evMfgXstKfsC/p24VWifZN+Sz1vAEd7xWYJ71pmrx71lP+O9Z98m6z0Tkc+LSE8Cb8dNLn1+nn34PfAjb197Ggl8Ppft4h5jp4rITO/Y+1HPhL0dE3uJufdn/Efg6yJykrjKROTjIlIBvIb7A+Pb3mf/GdzrZqOOJZ9hSlWfAf4T9wyhHvfi/Pm9ZnsEWIr7T/M47nUigNtwv0gWAltwv5D/1Zt2EPA33MSzBvcL9y5V7cL9Z7wf95/ni8CjOYbbgfvltVJEIsA/cS/O/tqb/oD3t1VE3tzbtlR1LW4C3exVS0z19uct3OtmT7H7F2gxcC3uhfkG3KqQH9G/F4FWVd2eNS7Am1nzXIibJN/2YvwbMKX3ilS1Bfi8t6+twOHAEtxfybn4X+Bz4rbMusF7b87C/ax3evvzK28fAa7Arb5qwL2ucnsO23gR9yL8s8BvVPWdG2RV9RXcL8k3VTXn6h1VXQ/8AngGt3VmzjfSZr1n1+K+Z/OAV7JmOQF43TuWHsW9Frg5x3U/jPt+3SsiYWAV8NFctquqT+MeVytw/68e67X6gY6JgWK+Cvizdyyfp6pLcBug3OStZyPuDwBUNYnbeOVi3CrDL+D+4Bh1elrcmBFGRBSY513vMMOEd3ZXB3xJVZ8vdDy5EJHngLtV9U+FjmWoicgLuI0Mxty+F5qd+RhzgETkIyJS7VX7/Rj3LGrRXhYbFkTkBNzm/H3eS2NMvljyMebAnQxswq32+wRui8bYwIsUnoj8Gbfa7LtedZ8xQ8aq3Ywxxgw5O/Mxxhgz5Cz5GGOMGXJjrhfYmpoanTVrVqHDMMaYEWXp0qUtXg8mg2LMJZ9Zs2axZMmSQodhjDEjiogMajc/Vu1mjDFmyFnyMcYYM+Qs+RhjjBlylnyMMcYMOUs+xhhjhpwlH2OMMUPOko8xxpghN+bu8zHGmNHCcRxSHRFS3QkyiSTpWIpMIkmqO0GiPUI8HCPRFScRSZDsTjH/sjMonTKh0GEDlnyMMWZEcdIZtj71Jhue38D2thLiweq9LFHivSB450JO/sGn8x5jLiz5GGPMMJVJpOja1kTXtibCda1sX9lIXXsZiWAl4tRQHqujJNKECqACIqgIIDgSQEUIpBME0lGK0t0cfPK8Qu/SOyz5GGPMMNDd1M62Z9+ibkU9Tc1KVEtJBspBei7N+/BlJlDevYNimsn4ijh0w/1UduXW642UlBAq/kH+dmAfWfIxxpgh4DgOLcs2Et7eQqw1Qqyjm3hXkmg4RUunn3CgBsSHOBMojTcSSjdRqg0oguMPkvEVU5ToYN6Wv1MRqSv07hwwSz7GGJNnibYw//x/j1KXnuqVBIBKAPzpGKF4C9XpjaQCIYKpLmZte4ZxHeuQgkWcf5Z8jDEmj3a+vIqnbl9DNHAQ1R3rSQVCoEpRKkJxooPSeBPj29fnXH02WljyMcaYPHAch6U3PMaS1UX4NUhZZAdzah+junNToUMbFiz5GGPMIIu1dPLUzx+lLjWN8u5txIvHMX/ZdfidZKFDGzYs+RhjzCBJd8dZfOMTrNwQJOWfQnXHekpiTZy49FeFDm3YseRjjDEHyElnWHHr07z5RpRYcBzlse0EJcDsrU8wrmNDocMbliz5GGPMAdi6YAkL799IODiJUKqd8vhWJjcu4eC65wod2rBmyccYY/bT0hsf4/WVRQSdIio7N1Eareew9feM6ibSg8WSjzHG7KNMKs2zP7mfDeGDKI9uI1ZSw3HLb8Cn6UKHNmLk7ZEKInKbiDSJyKqssvtEZLn3qhWR5V75LBGJZU37fdYyx4vIShHZKCI3iIh45eNF5GkR2eD9HZevfTHGmB6xlk4evuJeNoQPoqpjAyWxFk575UpLPPson8/zuQM4O7tAVb+gqseo6jHAg8BDWZM39UxT1a9nld8MfA2Y57161vlD4FlVnQc8640bY0xeJCMxtj+7jPt/sIAmJlPVvoGDmpZw1Nu3Fjq0ESlv1W6qulBEZvU1zTt7OQ/40EDrEJEpQKWqLvLG7wQ+BTwJnAuc7s36Z+AFYPj0mmeMGXGS4Shtq7fSuqGeju3tdLbE6YoKkXSIeLASxEeAUsoiO5m3+SEqu7YVOuQRq1DXfD4ANKpqdhvE2SKyDAgDP1XVl4BpQHYPenVeGcBkVa33hhuAyXmO2RgzCiTDUVpW1dK2ficd2zvobE0QjvqIOiESwSpvLgHGE0hFKU50UpxupUSbcHx+4sXjOfatGwmmo4XcjRGvUMnnAuCerPF6YKaqtorI8cDfReSIXFemqioi2t90EbkMuAxg5syZ+xmyMWa4cxyHri31NCzZSNP6JjqaEyQSkMj4SThFJH0lZAIhb24/MIFgMkJRspOSdDMhbcTxBUj7QxQlOxjXuYkJbaup6NqO0O9XjNkPQ558RCQAfAY4vqdMVRNAwhteKiKbgEOAHcD0rMWne2UAjSIyRVXrveq5pv62qaq3ALcAzJ8/344gY0awrrpm6hauItbWTawzRjySIh7LEOkWOjMVpILl3pwTCCbDBFPd+J0EQSdCseMAuivBJNqY0LGeCa2rKeuutybSQ6gQZz4fBtaq6jvVaSIyEWhT1YyIzMFtWLBZVdtEJCwi7wVeBy4EbvQWexS4CLjW+/vIUO6EMWboNSxawz/+uI5ksBIIASHESRNIdxNMRSlNNQAOGX8pvkyMyc3Lqe7YQGmsCb+TKnD0Jlveko+I3IPbIKBGROqAn6nqrcD57F7lBnAq8AsRSQEO8HVVbfOmfRO35VwIt6HBk175tcD9InIpsBW3AYMxZpTa+fIqHrt9M6hQEd6GOAmKkl2EYs2Ux5oojTZQ2bXVqsdGiHy2drugn/KL+yh7ELfpdV/zLwGO7KO8FTjjwKI0xowE259bzpN31yFOBnFSHLf8eusheoSzHg6MMcNa7ZOL+eeDTQTSCRTlvYuvxu/YDZ0jnSUfY8ywlGgLs/Gxxbz0UpJguhsHP+97/f/hU6fQoZlBYMnHGFNwqWicdQ+8ROP6FjraMnQmQ8SKxgFCSTJMxlfMKa/92K7njCKWfIwxBdOwaA0rHlxGbXsFqUAZaA2hWBvBVDvF0WYyviCow8nLr7fEM8pY8jHGDJnupnZaV22lYcU2NqyK0h6YjDg1VES3USIBihLtTGlazITWVdY0epSz5GOMOWCO47DjhRXsWLqFdCJDOum9Ukoi6RCJBYhqWdYNoOWUpOJURdYTK5nEvI0PUtVVW8hdMEPMko8xZr81Ll7L248sp3ZngO6i8UDVO9PESeHPpPBnEgRTEUozXYg6OL4gqWApNc1vMbf2H9aAYIyy5GOMGZDjOES2NdKxsZ7Oba10NYXpao3T2BagKzgRtIbyxA6quttIBkqp7NpCMNVNUTpKUSpKIBWlIlJHKN5a6F0xw4glH2PMHtpW17Lp6RXUbeikKTGOdKDUm+IHxuHLJAglWqiKbiBWXMOcLf+gpm11IUM2I4wlH2MMsZZOtjy5lK3L6mnoKPaq0MoJJh23w011yPiDpP3FFMc7qOzayvjO9YxrX2edcZr9YsnHmDHEcRzizR10N7QT3t7MtsVb2bkjQ4dvIurz48uMpyzeQHW0lURxFTXNbzFr+1ME092FDt2MMpZ8jBkFnHSG6I5mwtuaiexsI7yzg0hrjEg4TXdciKWLSEox6UAIFf+uBXUCpYlGqpKbSAVClMQ7mFP7DyqiO/rfmDGDwJKPMSNIKhqn/tXV7HhzK03buwnHAsQpIRUo2z2pUAFaRlGyi0A6SiAdplTTiLo3aqr4yfgCOBJk9rYnmdS8zG7iNEPKko8xw4zjOER3ttK+djsdtc101ofpakvQ3uWn0zcB9QWAaooSQnGig5ATplQdFEF9fjL+YvzpOKXdjVR1baEqvIWyaIMlFzOsWPIxZphwHIdVtz7F4kXdxIPVXmkQmEAgFaUk0U5VajOOL0DKH+Kg5iVM2/kyRalIIcM2Zr/sNfmIyFygTlUTInI6cBRwp6p25Ds4Y8aKHS+tZOGdK2nzH0Rpqo2qyHocf5C0r4RQvJlxnZsZ376Wisj2QodqzKDI5cznQWC+iLwLuAX3cdV3Ax/LZ2DGjAWRumYWXreALdGDCDgVVHVtoCTWwuHr/mJNmM2olkvycVQ1LSKfBm5U1RtFZFm+AzNmpIq1hFl7/0tEWrrp7koS71ZiSSGRCZDBj4MPRwLeRf8iVCZT3bGJaOkkjlr1B4LpWKF3wZi8yyX5pETkAuAi4BNeWXBvC4nIbcA5QJOqHumVXQV8DWj2Zvuxqj7hTfsRcCmQAb6tqgu88rOB/8W9tfpPqnqtVz4buBeYACwFvqKq9lxdU1Dt67bz6K9fIxKsAUL403GvtVkcnxMhqIqoAyiiAEqiuJq5Wx6hKrylsMEbM4RyST6XAF8HrlHVLd6X/l05LHcHcBNwZ6/y61X1N9kFInI4cD5wBDAVeEZEDvEm/w44E6gDFovIo6r6NvArb133isjvcRPXzTnEZUxe7HxlNU/ctoG0lFMRrqUk1kp5907KIzspj+6gJN5mLc6M8ew1+Xhf9N/OGt+C+8W/t+UWisisHOM4F7hXVRPAFhHZCJzoTduoqpsBRORe4FwRWQN8CPiiN8+fgauw5GMKZOPDr/DM4x34HaUo08lRq/5AcTJc6LCMGbb6TT4ishL6/5mmqkft5zavEJELgSXA91S1HZgGLMqap84rA9jeq/wk3Kq2DlVN9zG/MUNq+e+f5NU3/ZQkI2R8QU5c8t/2IDRj9mKgM59z8rC9m4GrcZPa1cBvga/mYTu7EZHLgMsAZs6cme/NmVGqZeUWGpZuJNIUIdoeJxpJ0x330eqfQnm0jljJeE595UprpWZMDvpNPqq6dbA3pqqNPcMi8kfgMW90BzAja9bpXhn9lLcC1SIS8M5+sufva7u34DYTZ/78+VbpbnLWsnILa/++hC21GcLBSbjtXqoQp5xgqotgqpuq9AZU4bRXrix0uMaMGLncZPpe4EbgMKAI978vqqqV+7oxEZmiqvXe6KeBVd7wo8DdInIdboODecAbgADzvEYOO3AbJXxRVVVEngc+h9vi7SLc+4+M2W+ZRIqWFZtpXrWNli1t1O1QOoOTgAmUJuupiqwnVVRBUbyDsu4GKiPbqAzXUhprtoYExuyjXFq73YT7pf8AMB+4EDhkwCUAEbkHOB2oEZE64GfA6SJyDG61Wy1wOYCqrhaR+4G3gTTwLVXNeOu5AliAm/RuU9WeJ1b9ALhXRH4JLANuzWFfzBiXSaXpXF9H2/qddGxrIdwUJdyRJhwvIuqvxvEFcQ+1iZQm66mOrKc7VMPM7c8wpWGRVakZM0hy6ttNVTeKiN9LCLd7N5n+aC/LXNBHcb8JQlWvAa7po/wJ4Ik+yjezq0WcMbtpWLSG9f9cSSScJNYNsZSfuJaQDJSjvp7en8tBQxQnOilKdlGZaUfFRypQRkm8hYOaljK5abElHGPyIJfk0y0iRcByEfk1UA/48huWMfvOSWfY8ODLvPVsHc2+KUANgVSUYCqCP5OgJNNFSBtR8ZHxF4Eq5ZE6xndsYHz7WopSXYXeBWPGjFySz1dwk80VwL/hNgD4bD6DMmZvMqk0ibYwibYuYm0R6hZt4O23U0SDEwimy6iOridaOpmDtz9LRddWKiJ1BDLxQodtjPHkcpNpT6u3uIjcAMxQ1Y35DcuMdZG6Zp7/1QLaowG3LzTv5faHFiTjL+m1RCWlyXoquzfhT8V5z5pbCWQSBYndGLN3ubR2ewH4pDfvUqBJRF5R1X/Pc2xmjNr491d54R9NJP2TKI/X4VcHP+o9hdNtVeYOCyqCio90IMTkhjeYtf0pu0ZjzAiQS7VblaqGReRfcJ/j8zMRWZHvwMzYk44nWHj1Q6xpmUhJOkUo2cxh6/5KeXRnoUMzxgyyXJJPQESmAOcBP8lzPGYMchyHtpVbWHDjG3QEJlPVuZFEUQUnLb7G7p8xZpTKJfn8Avc+m1dUdbGIzAE25DcsMxp1bW1gw2NL2bG2ne6E+3ybpBaRCpTi+IL4qaSyYxNTGl9nav2rhQ7XGJNHuTQ4eAD3BtOe8c1YazeTA8dx2PH8W2x6cT11Oxw6AxNBQgSTGYqSYXxOlBKnk5A6KBAPTeQ9b//JeoM2ZgzIpcHBdNzudd7vFb0EfEdV6/IZmBm5kpEYK297hlVvxdyHqukEyhL1VEfc6rRx7euYueNFQtYtjTFjVi7VbrcDdwOf98a/7JWdma+gzMjUsWEHb97xEhsby0gFygilIlRFN5IMljO79nEmtrxlLdGMMUBuyWeiqt6eNX6HiHw3XwGZkenlX/6NFdsqUamhonsrRRJgQutq5tY+Zmc3xpg95JJ8WkXky8A93vgFuI80MAbHcXjuJ/exrn0ylV2bSRRXMaf2CSa0vV3o0Iwxw1guyeeruNd8rvfGXwEuyVtEZsTIpNIs+P69bIlNpapjA2WReuYv+22hwzLGjAC5dq/zySGIxYwg6XiCx753Pzsy06huX091+3rmbHuy0GEZY0aIvfZOLSJzROQfItIsIk0i8oh3r48ZoxJtYR7+zgPvJJ7JzUst8Rhj9kku1W53A7/DffIouA+Wuwc4KV9BmcJzHIeG19aw9aV1tDd20x2D7lSQOCFSwXLgIKo6NjB950ImNS8rdLjGmBEml+RTqqp3ZY3/RUTsYfWjTE8XN7UvrGbH+jBN8UqSwXKgmkAqQFEqgj8dpdTpQFRJB0qZXfsE4zvWFzp0Y8wIlEvyeVJEfgjci9ul8BeAJ0RkPICqtuUxPjMI0vEEyc4oqUiMVDRBOhon0dVNy9oGmrd10t4pdGoVmUAIKCeYdCjtbqSEBhLF1UxteI3x7esoj9Thd1KF3h1jzCiQS/I5z/t7ea/y83GTUZ/Xf0TkNuAcoElVj/TK/gf4BJAENgGXqGqHiMwC1gDrvMUXqerXvWWOB+4AQriP0/6OqqqX/O4DZgG1wHmq2p7D/owZ6XiCl375MGuaxqO+vj7qUnwZP6FYC+Vpt8OKZFEVE1pWMGv70xSlIkMbsDFmzMiltdvs/Vz3HcBNwJ1ZZU8DP1LVtIj8CvgR8ANv2iZVPaaP9dwMfA14HTf5nA08CfwQeFZVr/XOzH6Yta4xr3nZRhb8bjGdAff+G5+TcW/19J5/o/hIB0NUt69jauPrVIZrrfcBY8yQyaVvtyDwDeBUr+gF4A+qOmD9i6ou9M5ossueyhpdBHxuL9ueAlSq6iJv/E7gU7jJ51zgdG/WP3txjfnk4zgOy256gsUr/QgVVHZuZmrDa9ZLtDFmWMml2u1mIAj8nzf+Fa/sXw5w21/FrTbrMVtElgFh4Keq+hIwDcjuwLTOKwOYrKr13nADMPkA4xnR0vEE9a+uYcnfVrHTmUp593aSwQqOWvV7ilLRQodnjDG7ySX5nKCqR2eNPycibx3IRkXkJ0Aa+KtXVA/MVNVW7xrP30XkiFzX510D6rcDMRG5DLgMYObMmfsf+DCRaAvTVddCy9vb2LmynqYmh3bG4/iLEWcy1Z3rCXU3cNiG+/a+MmOMKYBckk9GROaq6iZwbzoFMvu7QRG5GLchwhmqqgCqmgAS3vBSEdkEHALsAKZnLT7dKwNoFJEpqlrvVc819bdNVb0FuAVg/vz5I6aXy0RbmA2PvM6WZY10Rv0ktIikvxTHX7xrJq2hNN5ERWobKn6SwXLmbXqQiog98cIYM3zlknz+A3heRDYDAhzMfvbtJiJnA98HTlPV7qzyiUCbqma85DYP2KyqbSISFpH34jY4uBC3nzmAR4GLgGu9v4/sT0zDTfvabWx4/E22ro/QrJNQX4BAuppQvIXiTIQSbQbAER8ZfzHBVJQZO1+kpmWl9R5tjBkxBkw+IuIHjsZNBod6xeu8M5UBicg9uA0CakSkDvgZbuu2YuBpEYFdTapPBX4hIinAAb6edf/QN9nV1PpJ7wVu0rlfRC4FtrKrSfiIkmgLs/mfS9n65k4a2ouIBicAlRQnUlTFNld8NMEAACAASURBVJMKhAjFmjhk08OUJKwluTFmdBgw+XhnIheo6vXAin1Zsape0Efxrf3M+yDwYD/TlgBH9lHeCpyxLzEVUjqeoHVlLa3rdtBe20ZHS5zOiI8OXw3qC+DLTKAsVk91pJV48TgOaljEwXXP4HfShQ7dGGMGXS7Vbq+IyE24LdPeaTalqm/mLapRwnEctj/9JssfW8POxCQcX9CbMp5gMkJRspOq1GbSgRKCiTDvqn2Misj2gsZsjDFDIZfk03Pj5y+yyhT40OCHMzokOiOsvOM51qzoJhychD89gYpILeAjFQwRTISZ0LGOmpaVlHXX282dxpgxJ5ceDj44FIGMRMlwlMalG+jY3ETHzk7CrQm6om4/aelAOaFUN1XRDaQCpRy+5k5CCesGzxhjILceDibgNhY4BfeM52XgF941lzEj3R2nftFa6pfV0rQtQlskSCQwHhU/7ts4watKC1OW3knGX8z41tXMrX3MWqEZY0wvuVS73QssBD7rjX8J9/rPh/MV1HD0t+88SKt/ClBJIOWnJN5KVXoTji9AKlBKSayZ8Z0bGd+2hvLoTks4xhgzgFySzxRVvTpr/Jci8oV8BTRcHXXaFJY+vplUoJSalhVMa3iV0lhzocMyxpgRKZfk85SInA/c741/DliQv5CGp8O//CHkV9+BlDV9NsaYA+XLYZ6v4T5Ku6cLnHuBy0WkS0TC+QzOGGPM6JRLa7eKoQjEGGPM2JHLmY8xxhgzqCz5GGOMGXL9Jh8R2d/HZxtjjDEDGujM528AIvLsEMVijDFmjBiowYFPRH4MHCIi/957oqpel7+wjDHGjGYDnfmcj/vE0gBQ0cfLGGOM2S/9nvmo6jrgVyKyQlWf7G8+Y4wxZl/l0trtVRG5TkSWeK/fikhV3iMzxhgzauWSfG4DunAfU30eEAZuz2dQxhhjRrdc+nabq6qfzRr/uYgsz1dAxhhjRr9cznxiInJKz4iIvB+I5bJyEblNRJpEZFVW2XgReVpENnh/x3nlIiI3iMhGEVkhIsdlLXORN/8GEbkoq/x4EVnpLXODiNhDQY0xZgTIJfl8HfidiNSKSC1wE3B5juu/Azi7V9kPgWdVdR7wrDcO8FFgnve6DLgZ3GSF+zC7k4ATgZ/1JCxvnq9lLdd7W8YYY4ahvSYfVX1LVY8GjgKOUtVjVXVFLitX1YVA72dHnwv82Rv+M/CprPI71bUIqBaRKcBHgKdVtU1V24GngbO9aZWqukhVFbgza13GGGOGsZz7dlPVsKoOxiMUJqtqvTfcAEz2hqcB27Pmq/PKBiqv66N8DyJyWU9rveZmewCcMcYUWkE7FvXOWPL+vGlVvUVV56vq/IkTJ+Z7c8YYY/aiEMmn0asyw/vb5JXvAGZkzTfdKxuofHof5cYYY4a5nJKPiLxPRL4oIhf2vA5gm48CPS3WLgIeySq/0Gv19l6g06ueWwCcJSLjvIYGZwELvGlhEXmv18rtwqx1GWOMGcb2ep+PiNwFzAWW4/b1Bm5V2Z05LHsPcDpQIyJ1uK3WrgXuF5FLga24N64CPAF8DNgIdAOXAKhqm4hcDSz25vuFqvY0Yvgmbou6EPCk9zLGGDPM5XKT6XzgcO/6zD5R1Qv6mXRGH/Mq8K1+1nMbbk8LvcuXAEfua1zGGGMKK5dqt1XAQfkOxBhjzNjR75mPiPwDt3qtAnhbRN4AEj3TVfWT+Q/PGGPMaDRQtdtvhiwKY4wxY8pAz/N5EUBEfqWqP8ieJiK/Al7Mc2zGGGNGqVyu+ZzZR9lHBzsQY4wxY8dA13y+gduUea6IZPflVgG8ku/AjDHGjF4DXfO5G/e+mf9mV8/TAF1Z99kYY4wx+2ygaz6dIhIBjlXVrUMYkzHGmFFuwGs+qpoB1onIzCGKxxhjzBiQSw8H44DV3n0+0Z5Cu8/HGGPM/sol+fxn3qMwxhgzpuw1+ajqiyIyGTjBK3pDVZsGWsYYY4wZyF7v8xGR84A3gM/j9kD9uoh8Lt+BGWOMGb1yqXb7CXBCz9mOiEwEngH+ls/AjDHGjF659HDg61XN1prjcsYYY0yfcjnz+aeILADu8ca/gPvgN2OMMWa/5NLg4EoR+Qxwild0i6o+nN+wjDHGjGa5PEb7UmChqj40BPEYY4wZA3K5djMT+IOIbBaRB0TkX0XkmP3doIgcKiLLs15hEfmuiFwlIjuyyj+WtcyPRGSjiKwTkY9klZ/tlW0UkR/2vUVjjDHDTS7Vbj8DEJEQ8DXgSuD/A/z7s0FVXQcc463TD+wAHgYuAa5X1d0eYicihwPnA0cAU4FnROQQb/LvcB/5UAcsFpFHVfXt/YnLGGPM0Mml2u2nwPuBcmAZ8B/AS4O0/TOATaq6VUT6m+dc4F5VTQBbRGQjcKI3baOqbvbivNeb15KPMcYMc7lUu30GmIB7b89DwCOqWj9I2z+fXa3oAK4QkRUicpuIjPPKpgHbs+ap88r6KzfGGDPM7TX5qOpxwIdxezk4E1gpIi8f6IZFpAj4JPCAV3QzMBe3Sq4e+O2BbiNrW5eJyBIRWdLc3DxYqzXGGLOfcql2OxL4AHAaMB/3bGMwqt0+Crypqo0APX+9bf4ReMwb3QHMyFpuulfGAOW7UdVbgFsA5s+fr4MQuzHGmAOQy02m1wILgRuAxaqaGqRtX0BWlZuITMmqzvs0sMobfhS4W0Suw21wMA/3LEyAeSIyGzfpnA98cZBiM8YYk0e5tHY7Z7A3KiJluFV4l2cV/9prwq1Abc80VV0tIvfjNiRIA9/yHnKHiFwBLMBteXebqq4e7FiNMcYMvlzOfAadqkZxGzFkl31lgPmvAa7po/wJrKsfY4wZcayDUGOMMUNun5KPiPhEpDJfwRhjjBkbcnmY3N0iUuldp1kFvC0iV+Y/NGOMMaNVLtd8DlfVsIh8CXgS+CGwFPifvEZmjDGmXx2l8MahQl2NkPZBOgBpP6T8kOnjtEJ8GX6gYcbtOakgckk+QREJAp8CblLVlIjYvTLGGDPE2srdhLPoUB9rZoD6hNKkEkxDIAPBjBLIgM+BPb+lM6zr3sKhhQi8D7kknz/gNn1+C1goIgcD4XwGZYwxI8XWibBsbr99U+4m44NISOgKQVfIHY6EwMlhcUegpQpUhIPDGS6uj/Fxp4tD0ily2zo8+b6qHOfMv1zu87kB9wbTHltF5IP5C8kYY0aGVw4T/u/jPlLBXL/+oSSlVCSUyqRSncowPe7k3PJrTjTJx50u5qbTbA4GeL4sxGsaotxxcERQr4Nm9V67czg6Hs05znzrN/mIyL/vZdnrBjkWY4wZERzg/lN9PPR+H0dHklxX30yVk9nrcj6FYK+yNJDpv1f/3WwLBHiurJSnRDgpFueSzq7cmywHSqByVq5z591AZz4V3t9DgRNwu7kB+ARu9zbGGDPmxIPwu3N8vP5uH+e2R/l+ext3jatkvLP3S+GKm7hKnAzFqpSoUpHJEIKcqs5KHOXSzvCouEGz3+Sjqj8HEJGFwHGq2uWNXwU8PiTRGWNMAaR90FwFiV6nKckg3HqWn62T4Hst7Zzd1c1vJo7nB61tlKm1w9oXuTQ4mAwks8aTXpkxxoxYKT80VkPDOKF+PDSOExrGQUO10FzltiTrS2lKubGpmaqkwwPVlfyspXX/Hus8yFQhjZ8kAdJ9RaTFlOt+PoI6D3JJPncCb4jIw974p4A/5y8kY4zZP8kAbJsItZOErZOFpuo9L7yn/dBYLbRU7p5gyhPK1GiGI2MZpkXTzCBFmTi7LesT5fh0nDeKSugo8fGvHe10azENOo7Z0kCOl24O2HZnIk86J/JE5kQ26jSSBEgRQAeqkEvA422NHDE0Ie5VLq3drhGRfwKneEWXqOqy/IZljDF7coAHTxFWzNrzSzYSgp3jdyWUkpQyPeLg73Utxqfwnu4M0yNpDibJPBLMyaSpctxEkwB2BgNsCwSI95FN7i6t4IxolGNiKdY707g0dSXbdRITaecDvlV8wL+C9/tWMUk6+92PjAodlNOuFXRSRiaHqzgOwjJnHk9kTmKlzgHgcKnlk/5XAcGH4hPHvXbURw2gA6xNnzlyko9nOe7TRQMAIjJTVbflLSpjjOklGYAbP+Fe6D+8I0VJWkG9psUKNWnlwztSvFviHK0JpqXT/X6lJ4AdwQC1gSBrA0Us9YfwO0qVk6EmnWZGJsPJsThFfSz7ke4YAM9ljuHbqSsIkeTr/kdZqwfzvHM0DzkfAGCGNBEkvduyGXx0aDlhSgc+SxnAUbKJb/sfIiM+Xswcxd2ZM8iluUJJwMehNYfv1zbzIZcnmf4r8DOgEcjg7qUCR+U3NGOMcYVD8OvP+dgwTfh+azufC0cRUYKq71zDSAPbggHWFRXxdKCUjAg16TTlvZpAK1DsKBPTfmqiNcT1ICJaw7tkGyf61lIs6d6b3315hT9mPs5/py/gMNnGeYGFXJP6IikClBLjBHmbCRIhgw8/u1fbCQ4VEickCYKSQVCSGiCmRb3m7FuIJEv03dyQ+TS5tY8bvnI58/kOcKiqtuY7GGOM6a1+HPzXF/y0V8J1TS10dB3He1KXUyERjgus4LjAWxxW9DZ+SVCdDjKuawotzkw26Cxe0El71EClNMA2nUQj4/fYVhkxPuBbyYd8yzjdv3yPqrOEBvhp+qs8kDmdj/gWM1nauCr1FXoSQTchFuvhfVZ7md3lkny2A/1XXhpjzAFSYMtBECnZ/dd8VwhuO8uHP6jc1tjEM5FzeFjfy8X+BazXGbyROp5nU6cSjKWZRDs7mPjOspVEmSP1BHpVfflxeJ9vNRMkTJFkiGgRrU4VXVJKERmWO3P5p3MipCFEfLdlM/hIUsQ3/I+w0pnNnc5H8vaejHa5JJ/NwAsi8jhuVSkAqmo9HBhjDkhnKbx4pPDcMT52Tui7GmlGPM1N9c3cFLuUTVLDZ3xvcEParXaqIMLJsppyieMnw8fldYokTatTzladzDqdSfs798vv4qiwR7WVd7YSJMWxsp7J0kGVdCO9TmMOkTr+mvkQm3TaILwDY1cuyWeb9yryXoNCRGqBLtzrSGlVnS8i44H7gFm4nZmep6rtIiLA/wIfA7qBi1X1TW89FwE/9Vb7S1W1ZuDG5JmD24V/bxmf2zAgEdz1N9XHfJESYeGRwuJDhIxfeE9nksubupiV3vN6y7QEfDf5faqlnbnazA2Zz7wzrYtyXtMjBrWaK0WQZXqIVZ3lWS5NrX+ex+1/UFVbssZ/CDyrqteKyA+98R8AHwXmea+TgJuBk7xk9TNgPu6hslREHlXV9jzGbMyY0VkKK2e5z4xprYCWSmipcofTgQO74F2ZdDi/PcJ58S7Gp3z8neN5wpm82/mIo0GeSZ/MWb7XWe3M4Ul9z4HtkBk2cmnt9jx9/AZQ1Q/lIZ5zgdO94T8DL+Amn3OBO1VVgUUiUi0iU7x5n1bVNi/Wp4GzgXvyEJsxo17SD2tnCCtmCytmCbUHualAFKqSwvikMDutvK8zxTgnjQ8Hn+o7f/0oIRxCOJShhFQpUt2j6ioAHB1PsFRmcH3yCyzInMw0aWKONKC9qsMu8S/gnswHWaczh+ptMEMgl2q3/8gaLgE+CwzcFjE3CjzlPZjuD6p6CzBZVeu96Q3s6sZnGm7Dhx51Xll/5caYHCiwdRKsmCWsmCOsmS6kgoLfgTndPr7a2s2Z8Q4OTSYJAhEtYaeOZ6dUEtYyHC3ebW0qGWIE6JIgzQRIEiDZR4cuCS3he6kP0KjVnONbxH8EHuC5zNE85xy7x/0vzznH5fU9MIWRS7Xb0l5Fr4jIYPRqfYqq7hCRScDTIrK213Z1sJ6YKiKXAZcBzJxpv57M8BYpcVt55SIRhI5yob0MOsqho8x9OFkukgFYO13oLHfPNCbHfJwVSfGxRCvz4wniThmv+abzeNFUniuJkNASutLjaEzPZlPqMFqdcUyhlUnSQYXE8It7z4ritgpL4yeDj4zueTNlUDKc73+eeh3PPzIn86BzWo7vjhktcql2y24M7wOOBw74cXiqusP72+T1G3ci0CgiU1S13qtWa/Jm3wHMyFp8ule2g13VdD3lL/SxrVuAWwDmz59vlxHNsJQIwN9P9vHoSbJPDyfLVpIWQmnBl8NR7gMOTypnNbVzSjzK+DS8KTNZHHw3r4WixFNVPB69gKbYlH7X0U4lb/f95LKBKTzvHLuPC5nRJJdqt+wznzSwBbj0QDYqImWAT1W7vOGzgF/gPjPoIuBa7+8j3iKPAleIyL24DQ46vQS1APgvERnnzXcW8KMDic2YoabAa4cJd33QR2uVcGpXmjPaI3tcJ+lLmWaYlElTk8kwIeMQ2sdu/dfrQbwamMWtRQ6hojgLI59keXz+fu6JMbkb6EmmM1V1m6rOzsN2JwMPuy2oCQB3q+o/RWQxcL+IXApsBc7z5n8Ct5n1Rtym1pcAqGqbiFwNLPbm+0VP4wNjhhvFbYqcCrjd+af90FIFfz3dz5qZwsFx+O3ORsrj43ktOItcKp1bRHjbB44/Q3EggaNCRMtJ7XYtpv+IGjLTeSp6DunooN1FYUxOBjrz+TtwHICIPKiqnx2sjarqZuDoPspbgTP6KFfgW/2s6zbgtsGKzZgD1VQFTx/ro60COsugs1ToKIOuUnD6eEZMeUr4aXMrZ3Qpt5QcDsUOt4SvhFHxvEpj+jZQ8sn+L5mT70CMGQ02ToH/Pi9AdwlUJn1UpoWqDMxKOUxoz1BKmmKUEs1QqhkqNclp3d08KUfw18pm7mu5lE7ds88xY0abgZKP9jNsjOnDm3OF6z7tpxrlrzvrmZ1KE9cgLVTQImW0ESIhPlL4SHp/O0S4rjzGyo4zWd5s11rM2DFQ8jlaRMK4Z0AhbxhvXFW1Mu/RGTNCPHOM8MeP+HlXMsP1jW38vuRwqn1Ka3oijZmZbE3PZVv6YJy+/uWiQx+vMYXWb/JR1eHyqG9jhi0F7jvVx0Pv93FSd5L/bOzmfytm8nLrRTQ5/TdRNmasy/VJpsaMCfGQQ9NMh/ppSrxo99pmFYj6fDQF/bQU+2gNCa0V7k2a54ajfKXZzy3V43mi6UrilBZoD4wZGSz5mFErVuYQrnHoHKd0VENnhdJZKji9GpE5Ag0VPraU+6kv2nuT4+pMhknpDFMyGQ5N+XlvcxczwxN4vCrB3U1Xo310J2OM2Z0lHzOqOChrT0jz+Hwfi6v3vNelxHHw92o+I8DElDKtu5gZHRPoTM6mMXEI4cyEXvMplZpmOh1MlyYO9u1guq+BtsBkXizv5Mbm6/O4Z8aMLpZ8zKgQDzm8cjo8cZiP7cUhalIOJzRPpDs5jUh6MuH0ZFrTU2l2qvtcvokMs6SeQ6WOo6WNEtlAizaQ6XWvjR+HJAFanCpWO7Np0nG0JCrRqN2TY8y+sORjhiUH5cmzqmmc6OwxLe1XkkGHRCBDIqAkAg7bix0ifh9z48JhO49jS/tJlPjrmOaLUiLdCFuIy3a6fCHiFKG66zY2AdL42MxUFjgnkLFqM2PyzpKPGXZaqgPcdoGfJdV9t0H2q1LmKKUOlGSEEkc4srOYqu3TCAWUqL+GLr+yQE8ik7FEYsxwZMnHDCuvzq/kntMjtASUj24tpaw5Rqp491vKHISkr5oOqaFZprFJ30WbTNr1kHe7JdqYYc+SjxkWUj74y/kVPDUzysQ0fOXVMl4f9wHeKPvg3hc+sKc5G2MKwJKPGVINNUUsPS5EuFKJhhxiRRm6izO0lKTZWhzjpLYAM9Zn+MO4K0lKjk9FM8aMOJZ8TF6lgbeOrmDlEcqGSTE2lmRQca/liCqVjlKRgfK0j8+vLqOLcdxedUVhgzbG5J0lH5MXW6eV8NQZft6cHKM1EENUmRuHM+tCVLT4yPhSCAFi/hoafTPZyHtYLDNArIGAMWOBJR8zqF4/rpKXTkzwZnWKDCmO7grwgZ0hJBKnLXQoD8qXoMQSjDFjnSUfMyjeOKaSR0/rZn1pN2WOwymNJUyqFWorj+Yu+QyUFTpCY8xwYsnHHLDnT6nijvd3Ue7AJzeVE2jt5vnyL7Ot6pBCh2aMGaaGvE8QEZkhIs+LyNsislpEvuOVXyUiO0Rkuff6WNYyPxKRjSKyTkQ+klV+tle2UUR+ONT7YuCJD1fxp1MiTEoJH3m1mAcSV/LnimvZJpZ4jDH9K8SZTxr4nqq+KSIVwFIRedqbdr2q/iZ7ZhE5HDgfOAKYCjwj8s432++AM4E6YLGIPKqqbw/JXhgePqeK+4+MMCcORy/zc3PNVdZgwBiTkyFPPqpaD9R7w10isgaYNsAi5wL3qmoC2CIiG4ETvWkbVXUzgIjc681ryWcI3PO5Sh6eF+WIqHDYCrh93H8VOiRjzAhS0Gs+IjILOBZ4HXg/cIWIXAgswT07asdNTIuyFqtjV7La3qv8pDyHPKY4KBtnl1E7q4iOKodwhUMklKajJM3bZd0cG/Yxd53D7dXXFjpUY8wIU7DkIyLlwIPAd1U1LCI3A1fj9sx1NfBb4KuDtK3LgMsAZs6cORirHLV2TC5myfElbJmeYFNlksZgEkgC7k2h4zNKdUo4Y2cJ4xpS3F5uiccYs+8KknxEJIibeP6qqg8BqGpj1vQ/Ao95ozuAGVmLT/fKGKB8N6p6C3ALwPz580ddt5NNE4pYflSI2plpWstTe/SrqQJpUdI+JeVTUqKkfHv2v+kAzcEMEKU843BIJMCJzSEkpvicNH4VwsEpbJYjeYz5pEMlQ7ODxphRZ8iTj4gIcCuwRlWvyyqf4l0PAvg0sMobfhS4W0Suw21wMA94A7c7yXkiMhs36ZwPfHFo9mLoOCiR0iBt44O0TAjQUe0nXKFEyh3aKlNsq0hSV+QAUQKqTE0qft2zp82gCgEHSlI+Ao4QcMTNSr0cHwlS1iogKV4qPp8XOcIa5BtjBl0hvlbeD3wFWCkiy72yHwMXiMgxuD/Ia4HLAVR1tYjcj9uQIA18S1UzACJyBbAA8AO3qerqodyRwZIG3jqqgtWHQ+3EOJ3BDHEfxHzQ7RMcAUh5r10qMw6zu/0c2VBCWbsPycTYXnIsmzhyj21EqKCdGtKSw9mKndAYY/KsEK3dXqbvTvCfGGCZa/j/27vzuKaPvV/gn0nCFkBkE2URZMkKAooUFDzVurbUB6Ve6eHBtqf2cXmoPUdttccee/S2R2v1PFZ7e931WpcutrYurUqrdW1VFJAtAbTuoiDITiTJ3D+SWKTsYiD0+369eJHfL5P5zSSTfPOb32QGeL+J/d+19LjuqsjNGpf9bHHLC7jST4P8XvW4L6wFAPhq9OhTJ4KVTgBrrQAirQBWOgbRAwZhvQA6PYdQp4VQx6EV2uGs6DmcxMDf1rIhhBALQB0qT0i9ACj0t8e1/iIU9dHjnlM97tnV4441R4VQD6AGAOCs1UNabgXPYlvwSg2q7byxl73c/BkKg+FVo1eOEGLB6CPsMdQLgF99xbjpLUKxG0Opkxb3xfW4Z6vDLWugnmkAaAAArlo9PDQCDCy1hmO1FWxqBNBr6yHkAhy2egU/sP40/xkh5A+Dgk8b6XU65A+wgzpAgJseWtx20uCqrR41gt+GIlvrOfpoOVw1IviXWcGxUgRWxyHSalAr6ofzohE4g4GGDBkAqy6rDiGEdCkKPm30n5uGICvBcMHfWs/hqwEiSmzhVG4FgQZg2noImAC3RXKcYc+gnLkZHkhdZIQQ8jv0sdhGMW6j4Jl1DLblHFb6elyyeQoH8KxhLjMhDH+EEELahIJPG82atBxB579DvXWP+40qIYSYndmXVCCEEEIo+BBCCDE7Cj6EEELMjoIPIYQQs6PgQwghxOwo+BBCCDE7Cj6EEELMjoIPIYQQs6PgQwghxOwo+BBCCDE7Cj6EEELMjoIPIYQQs6PgQwghxOwsPvgwxsYxxtSMsULG2IKuLg8hhJDWWXTwYYwJAfwfAOMBKAC8yBhTdG2pCCGEtMaigw+ASACFnPPLnPMHAD4D8B9dXCZCCCGtsPTF5LwAXG+wfQPAU40TMcb+C8B/GTerGGPqNuTtBqCk4Q5rj4BBACxuNTldTTkTip0srtzNofp0Xz2pLkDPqo+upoK9tKr+enL1/eIOZuHbmeWx9ODTJpzz9QDWt+cxjLE0znnEEyqSWTHG0rQVxT2iLgDVpzvrSXUBelZ9uttnmqV3u90E4NNg29u4jxBCSDdm6cHnHIAgxtgAxpg1gEQAe7u4TIQQQlph0d1unHMtYywFwCEAQgCbOec5nZR9u7rpurmeVBeA6tOd9aS6AD2rPt2qLozzHnEtjRBCiAWx9G43QgghFoiCDyGEELOj4NOIpU/XwxjbzBi7yxjLbrDPhTGWyhgrMP537soythVjzIcxdpQxlssYy2GMvWHcb6n1sWWMnWWMZRrrs9i4fwBj7IyxzX1uHDxjERhjQsZYOmNsv3HbkutyhTGWxRjLYIylGfdZZFsDAMZYb8bYbsaYijGWxxiL7k71oeDTQA+ZrmcrgHGN9i0A8CPnPAjAj8ZtS6AFMJdzrgAQBeC/ja+HpdZHA2Ak5zwUQBiAcYyxKAAfAPgfznkggDIAr3ZhGdvrDQB5DbYtuS4AMIJzHtbg9zCW2tYA4CMABznnMgChMLxO3ac+nHP6M/4BiAZwqMH22wDe7upydaAefgCyG2yrAfQz3u4HQN3VZexgvb4FMLon1AeAGMAFGGbkKAEgMu5/pA125z8Yflf3I4CRAPYDYJZaF2N5rwBwa7TPItsaACcAv8I4qKw71ofOfB7V1HQ9Xl1Uls7kwTm/bbxdBMCjKwvTEYwxPwDhAM7Agutj7KbKAHAXQCqASwDuc861xiSW1OZWAXgLgN647QrLrQtgmDrrMGPsvHFKLsBy29oAAMUAthi7RTcyxuzRjepDwecPhhu+8ljU+HrGmAOArwD8lXNe0fA+S6sP51zHHmYUogAAGPpJREFUOQ+D4awhEoCsi4vUIYyxOAB3Oefnu7osnSiGcz4Ihm73/2aMDW94p4W1NRGAQQD+L+c8HEA1GnWxdXV9KPg8qqdO13OHMdYPAIz/73ZxedqMMWYFQ+DZwTn/2rjbYutjwjm/D+AoDF1TvRljph98W0qbGwZgAmPsCgyzyY+E4RqDJdYFAMA5v2n8fxfAHhi+HFhqW7sB4Abn/IxxezcMwajb1IeCz6N66nQ9ewG8ZLz9EgzXTro9xhgDsAlAHuf83w3ustT6uDPGehtv28Fw/SoPhiD0gjGZRdSHc/4259ybc+4Hw/vkCOc8CRZYFwBgjNkzxhxNtwGMAZANC21rnPMiANcZY1LjrmcA5KIb1YdmOGiEMfYsDH3Zpul63u/iIrULY2wXgKdhWBLiDoB3AXwD4AsA/QFcBfC/OOelXVXGtmKMxQA4ASALv11X+DsM130ssT4DAfw/GNqWAMAXnPMljDF/GM4eXACkA/hPzrmm60raPoyxpwHM45zHWWpdjOXeY9wUAdjJOX+fMeYKC2xrAMAYCwOwEYA1gMsAXoGx3aEb1IeCDyGEELOjbjdCCCFmR8GHEEKI2VHwIYQQYnYUfAghhJgdBR9CCCFmR8GHkHYyzhY8y3jbkzG2+wkeK8w4/J+QHoWCDyHt1xvALADgnN/inL/QSvrHEQaAgg/pceh3PoS0E2PsMwD/AcMMwQUA5JzzYMbYywDiAdgDCAKwAoYf+CXDsJzCs5zzUsZYAAxLd7gDqAHwGudcxRibDMOPgnUAygGMAlAIwA6GaWqWwjB79BoAwQCsAPyTc/6t8dgTYZjN2AvAds754if8VBDSYaLWkxBCGlkAIJhzHmacbXt/g/uCYZh92xaGwDGfcx7OGPsfAFNhmD1jPYAZnPMCxthTAD6BYW60RQDGcs5vMsZ6c84fMMYWAYjgnKcAAGPsXzBMZfMX41Q9ZxljPxiPHWk8fg2Ac4yxA5zztCf5RBDSURR8COlcRznnlQAqGWPlAPYZ92cBGGicoXsogC8NU9cBAGyM/08B2MoY+wLA12jaGBgm9Jxn3LaFYaoUAEjlnN8DAMbY1wBiAFDwId0SBR9COlfDecz0Dbb1MLzfBDCseRPW+IGc8xnGM6HnAJxnjA1uIn8GIIFzrn5kp+FxjfvQqU+ddFs04ICQ9qsE4NiRBxrXI/rVeH0HzCDUeDuAc36Gc74IhoXAfJo41iEArxtn/AZjLLzBfaMZYy7GGbPjYTiTIqRbouBDSDsZu7ZOMcayAXzYgSySALzKGMsEkAPD4AUA+JAxlmXM9zSATBiWKFAwxjIYY1MA/G8YBhpcZIzlGLdNzsKw9tFFAF/R9R7SndFoN0J6AONot4cDEwjp7ujMhxBCiNnRmQ8hhBCzozMfQgghZkfBhxBCiNlR8CGEEGJ2FHwIIYSYHQUfQgghZmex0+ucP3++j0gk2gjDRIoURAkhpPvQA8jWarXTBg8efLepBBYbfEQi0ca+ffvK3d3dywQCAY0XJ4SQbkKv17Pi4mJFUVHRRgATmkpjyWcMwe7u7hUUeAghpHsRCATc3d29HIaeqabTmLE8nU1AgYcQQron4+dzszHGkoMPIYQQC2Wx13waC1tyOPR+TX2n1ae32EqbsWhMZmfl11Zz5szxdHBw0C1ZsuTOX//6V8+nn366Mj4+vrJhmv379zuuXLnS4+jRo4XN5XP69Gm769evW0+ZMqW8I+V4/vnnB6jVarukpKSSd999t8kLhm21evVq17S0NPtt27Zde5x82irms5jQck15p7UFJxsn7cnEk2ZvC81JSEjwi4uLK3/llVfKmkuzevVq1wkTJlT4+fnVtzVftVptHRcXF1RQUJDTXBpLbheb5h4PravWdlq7sLUXaV9dObzFdvHee+/12bx5s3twcHDN3r17f218//Hjx8WbN2923bp16/WOPB9eXl4haWlpef369dN25Pjt0Zb20R49Jvh0ZuB5Evl1xKpVq2519LFpaWnitLQ0+44En2vXrokyMzPtr127lt3R43elzgw8TyI/c9i+fbtbWFhYbXuCT2ssvV10ZuBpa36bNm1y/+GHH/IDAgKafB2GDx9eM3z48JrOLFd7jt+VqNvtMX388ceuEolEIZVKFfHx8QN27tzpNHDgQJlcLlcMHTpUcv36dRFgOKOZPHmyX2RkpNTb2zvkvffe62PKY/78+X39/PyCBw8eLC0oKDAtqYyEhAS/LVu2OAPA7t27ew0YMECpUCjku3fv7m1Kc/ToUXFYWJhMLpcrwsPDZZmZmTZ1dXVs6dKlnvv27XOWyWSKDRs2OFdUVAgmT57sFxISIpfL5Yrt27f3RjNGjRoluXv3rrVMJlMcPHjQITIyUnr8+HExANy+fVvk5eUVAhi+uY4ZMyYgNjY2yNfXN3jGjBnepjw++ugjVz8/v+CQkBD56dOnHUz7N2/e7BwUFKSUSqWKiIgIaee8Ct1D47agVquto6KiJBKJRBEdHS0pKCiwBgyva1JSUv/Q0FCZt7d3yP79+x0nT57s5+/vr0xISPAz5ScWi8NfffVVn8DAQGV0dLTk1q1bv/uwO3HihHjIkCFSpVIpj4mJCbp69arVli1bnLOzs8VTp071l8lkiqqqKtZUOtPjpVKpQiqVKv7973/3aZx/Q9Qu2ufPf/5z/xs3btiMHz8+aOHChX0bv08BQy/GiBEjAhs/9tatW6KxY8cGBAcHy4ODg+WHDx+2B4CioiLhsGHDggIDA5VTpkzxbWli6IbHX7x4cZ85c+Z4Llq0yMN0f1BQkFKtVlur1Wprf39/ZWJiom9gYKBy2LBhQVVVVQxovn2kpaXZhoSEyGUymUIikSiysrJsmipDSyj4PIa0tDTbFStW9Dt27Fi+Wq3OXbdu3bXRo0dXZWRkqPLy8nJfeOGF0iVLlvQ1pS8sLLQ9duxY/rlz5/JWrFjhqdFo2IkTJ8R79uxxycrKyk1NTS3IzMy0b3ycmpoalpKS4rd3797C7OzsvLt371qZ7gsNDa07d+6cKi8vL/fdd9+9+dZbb3nb2tryt99++9bzzz9fplKpcl977bWyv//97/1GjBhRkZWVlXfixAn1O++8411RUdHk679v375CHx8fjUqlyh03blxVS89Bbm6u+Jtvvrmcl5eXs3fvXufCwkKrq1evWi1btszz9OnTqnPnzqny8/PtTOmXLVvW7/Dhw/lqtTr34MGDzXYbWpqm2sLMmTP7JyUl3cvPz8+dMmXKvZkzZ/qY0peXl4vS09NVy5Ytu56YmBj45ptv3ikoKMhRqVR2p0+ftgOA2tpaQURERHVhYWHOsGHDKhcsWODZ8JgajYbNnj27/7fffnspJycn76WXXiqZN2+e1yuvvFIWHBxcs23btssqlSrXysoKTaUDgFdffdVv1apV19RqdW5rdaR20T47d+681qdPn/pjx47lz507927j92lLj50+fbrPnDlz7mRnZ+ft2bPn0owZM/wAYMGCBZ7R0dFVhYWFORMnTrx/+/Zt67Ycv7Uu0mvXrtnOnj37bmFhYY6Tk5Nu27ZtzkDz7WPNmjXus2bNuqNSqXIvXryYN2DAgAdtfmKMLK47oTs5dOhQr+eff77M1N/q4eGhO3v2rF18fLx3cXGx1YMHDwQ+Pj4aU/oxY8bct7Oz43Z2dloXF5f6GzduiI4ePerw7LPP3nd0dNSb0jQ+TkZGhq23t7cmJCREAwBJSUn3Nm7c6A4ApaWlwilTpgy4cuWKLWOM19fXs6bK+tNPP/U6dOhQ79WrV/cFDB9chYWF1oMGDap7nOcgJiamwtXVVQcAgYGBdZcuXbK5e/euKCoqqtLT01MLAJMmTSrNz8+3BYCIiIiqpKQkv4SEhLKkpKRmr1lYmqbaQnp6uv33339/CQBmzpxZunjx4ocfOM8999x9gUCAQYMG1bi6utZHRkbWAoBEIqm9dOmSzdChQ2sFAgGmTZtWCgB/+ctf7k2aNOmRb8gXL160KSgosBs5cqQEAPR6Pdzd3X/XvdJcupKSEmFlZaVw/PjxVaZjHDlyxKkzng9qF49q6/vU5NSpU70KCgoeBueqqipheXm54JdffnH8+uuvCwEgMTGxfPr06brOKJ+Xl5dm6NChtQAQHh5ec+XKFZuW2kd0dHT1ihUr+t24ccM6MTGxzPTZ1B4UfDpZSkpK/zfeeKMoKSmpfP/+/Y5Llix5+G3Vxsbm4TmyUCiEVqttsQG2xfz5873+9Kc/Vaampl5Sq9XWI0eObLLLgnOO3bt3F4aGhra/kYhEXKcztPGamppHymxtbd2wTq2+qXbu3HntyJEj9nv37nUaPHiw4vz587l9+/btlDeQJbG1teWAoR00fA4FAkGz7YKxR3dzzllgYGBtRkaGqqVjNZeupKRE2OEKgNpFe7T1fWrCOceFCxfyxGJxp/2cRCQScb1e/3Bbo9E8fE0av161tbUt9orNmDGjNDY2tnrPnj1OcXFxQWvWrLk6YcKEypYe0xh1uz2GsWPHVuzbt8+5qKhICAB37twRVlZWCvv3718PAFu3bnVtLY+RI0dWfffdd72rqqpYWVmZIDU19XfXYsLCwupu3rxpnZOTYwMAn332mYvpvoqKCqG3t/cDAFi3bp2baX+vXr10VVVVD1/fESNGVKxcudLD1PhOnTr18FtVa3x8fDRnz561B4AdO3Y4t5Z++PDh1WfOnHEsKioSajQatmfPnoePycnJsRk5cmT1qlWrbjk7O2svX77cbLeBJWmqLYSHh1dv3LjRGQDWrVvnEhER0WJXVWN6vR6ma35bt251jYyMfOTNPXDgwLrS0lLRDz/8YA8YPkzS0tJsAcDBwUFXXl4ubCmdm5ubztHRUXfo0CEH4zFc0A7ULtquufdpc2JiYiqWLl368BqLqSs2Kiqq0vS58sUXX/SqqKho8xcIPz8/TUZGhj0AnDx5Unzz5s0Wr9O01D5yc3Ot5XK55p133rk7duzY+xkZGW3+PDHpMcGnt9iqyaGGTzK/iIiIurlz596OjY2VSaVSxaxZs3wWLlx468UXXwxQKpVyV1fXVvOIiYmpmThxYmlwcLBy1KhRQQMHDqxunEYsFvM1a9ZcjYuLC1QoFHI3N7eH+c6fP7/on//8p7dcLldotb8dbvz48ZX5+fl2pgEHy5Ytu6XVaplMJlMEBgYq33nnHa+2PhcLFiy4s2nTJne5XK4oKSlp9WzZ19e3fv78+beioqLkERERMolE8rBr729/+5u3RCJRBAUFKYcMGVIVFRVV29ZytJWTjVOntoW25NdUW1i7du21Tz/91E0ikSh27drl+sknn1xvz3Ht7Oz0Z8+etQ8KClIeP37ccenSpbcb3m9ra8s/++yzSwsWLPCWSqUKpVKpOHbsmAMATJ06teT111/3lclkCq1Wi+bSbdq06crs2bP7y2QyBee8XWfiltYubO1Fndou2pNfc+/T5qxfv/76hQsX7CUSiSIgIED58ccfuwPAsmXLbp06dcohMDBQ+fXXXzv369evzddapk6dWlZWViYMDAxUfvTRR318fX1b7XJvrn1s377dRSKRKGUymSIvL89u+vTp99paDhOLXUY7MzPzSmhoaElXl4OQJ0UsFofX1NSkd3U5COmozMxMt9DQUL+m7usxZz6EEEIsBw04+AP76quvei1cuPCRIZ8+Pj6a1NTUS11VJvKbrjrroXZhWYqKioRPP/307wYw/PTTT+ruPGiDut0IIYQ8EdTtRgghpFuh4EMIIcTsKPgQQggxOwo+hBBCzK7njHb7YEAoaks7rz52LlrM/7XT1nDZv3+/o42NjX706NHVALB8+XJ3sVisT0lJafePs5qSnp5u++KLL/ozxrB79+5LSqWy3dPoNBQZGSldsWLF9Sc53fuTkh8VHaq7f7/T2oKwd2+t5JefW2wLTa110txaLQ3XbGprGVr7zc/06dO9f/zxR6dnnnmmfN26dTfamm9T2rJeFCGPq+cEn84MPE8gvyNHjjg6ODjoTMHnrbfeKu7M/L/88sveEyZMKFu+fPnt1lP3bJ0ZeB4nvye9VktDO3fudCsrK8sQiXrOW5r0bNTt9phGjRoVoFQq5YGBgcoVK1a4AYa1dxQKhVwqlSqio6MlarXaetu2be5r1671MK2FYlpbIz093TYkJERuyk+tVltLJBIF0PRaLU2V4fPPP3dav369x9atW92feuopiVqttg4KClKa7l+0aJHHnDlzPAHDGc3MmTO9QkJC5H5+fsEHDx50AICqqioWFxfn7+/vrxw9enRAXV0dAwCtVouEhAS/oKAgpUQiUSxevLjFNV/Iw3mvFP/4xz88mlqrpaGcnByb2NjYIKVSKR88eLA0PT3dFgBUKpV1WFiYTCKRKGbPnu3ZUh4jR44MrKmpEQYHBys2bNjg3HAdKMBw1gQYzmgiIyOl48aN8x8wYIBywoQJA0xz/TW3XtSBAwccZDKZQiaTKeRyuaKsrIw+M0inoK9Jj2nHjh1XPDw8dFVVVSw8PFwxZcqU+ykpKX4//fSTSiaTPbhz547Qw8NDN3Xq1OKGXS2HDx/uBQDh4eF19fX1TKVSWctksgfbtm1ziY+PLzOt1XLgwIFCT09P7YYNG5znzZvn9eWXX15pXIYpU6aUnzlz5mH+arW6xUkZtVoty8rKyvv888+dlixZ4jlu3Lj8FStW9LGzs9Nfvnw558yZM3bDhg1TAMDPP/8svn37tpWpO+lxZ0Lu6TIzM20SExMDNm/e/Ou9e/dEJ0+edGwp/bRp03zXr19/NSQkRHPkyBH7mTNn9v/ll1/yZ82a1X/atGnFKSkp95YuXereUh5HjhwpFIvF4SqVKhcADh482OyyCHl5eXYZGRmX/fz86gcPHixLTU11iI2NrU5JSfFLTU1VK5VKTVxcnL8p/cqVK/uuXr366pgxY6rLy8sFYrFY31zehLQHfYt5TB988IGHVCpVDB48WF5UVGS1evVq98jIyEqZTPYAMKzr0loe8fHxpdu2bXMBgD179jgnJyeXNlyDRSaTKT788MN+t27davLMp70mT55cBgBDhw6tvnHjhjUAnDx50iE5OfkeADz11FO1EomkBgBkMpnm+vXrNi+99JLP7t27ezk7O3fbX0x3tdLSUlF8fHzg9u3bL0dHR7c6MWZ5ebkgPT3dYfLkyQEymUwxa9YsX9NCgRcuXHB47bXXSgGgI5M2NickJKQ6ICCgXigUQqlU1ly6dMm64XpRAoEASUlJD48XFRVVNW/ePJ/33nuvT0lJidDKqlOaICEUfB7H/v37HY8dO+aYlpamUqvVuXK5vDY8PLzdffzJycll33zzjfPFixdtGGMICQnRmNZgUalUuSqVKjc/Pz/31KlTBW3Jr/G6HXV1dY+8zqa1ZEQiEXQ6XYszGbu7u+uys7NzR4wYUbl27Vr3xMREv/bW74/C0dFR5+np+eDo0aMOracGdDodHB0dtabXWKVS5V6+fPnhgAWBQNCh6UcarrOj0+nQcC2d9q4p9a9//ato48aNV2trawWxsbEyU7cgIY+Lgs9juH//vtDJyUnn6OioT09Pt83MzLSvq6sTnD171lGlUlkDhnVdAMMHU2VlZZNdVkqlUiMQCLBo0SLPiRMnlgItr9XSGm9vb21paamoqKhIWFtbyw4dOtTq6pQxMTFVO3bscAGAc+fO2ebn54sB4Pbt2yKdToeXX375/tKlS29mZWWJ21KGPyIrKyv+/fffX9q1a5fr2rVrW10bx8XFRe/t7f1g8+bNzoBh/Z6ff/7ZDgAGDRpUtWHDBhcA2LBhQ6vrQjXk6+v74Pz582IA2LlzZ+/WAkxL60Xl5OTYREZG1r7//vtFAwcOrM7OzqbgQzpFzwk+di6dulZHW/JLSEgo12q1zN/fX/nmm296hYaGVvfp00e7evXqKxMnTgyUSqWKiRMn+hvT3j9w4EBv04CDxnlNmjSp9Ntvv3VJTk4uA1peq6U1NjY2fO7cubeHDBkij42NlQQGBra6bse8efPuVldXC/39/ZULFy70UigU1QBw5coVq5iYGKlMJlMkJyf7L1my5LGG8ZqDsHfvTm0L7cmvV69e+kOHDhV+/PHHHuXl5a2+v3bt2nV5y5YtblKpVBEUFKT86quvegPAJ598cm39+vV9JBKJ4ubNm+3q63r99deLT58+7SiVShWnT5+2t7Oza/E6TUvrRS1fvryPabCJlZUVf+GFF8rbUxZCmkMTixJCCHkiaGJRQggh3QoNtbYwycnJ/c+dO/dI99vMmTPvvPHGG502Iop0T2fPnrWbOnXqgIb7rK2t9RcvXlR1VZkI6SgKPhbm008/vdbVZSBdIzIystb0Wx5CLJ0ld7vp9Xp9i6N4CCGEdA3j53Ozg10sOfhkFxcXO1EAIoSQ7kWv17Pi4mInANnNpbHYbjetVjutqKhoY1FRUTAsO4gSQkhPoweQrdVqpzWXwGKHWhNCCLFcdMZACCHE7Cj4EEIIMTsKPoQQQsyOgg8hhBCzo+BDCCHE7P4/h079QMrumXMAAAAASUVORK5CYII=\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": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"nets = df.network.values"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"K = 55\n",
"N = 56\n",
"# K = 0\n",
"# N = 60\n",
"\n",
"snap_plot(nets[K:N], size_scale = 1/10,savefigs=True)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff291a5dd50>"
]
},
"execution_count": 35,
"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": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff2bc8e9d50>"
]
},
"execution_count": 36,
"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',['participant_count'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As expected effective_supply isn't changing since we don't have a secondary market."
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff2d88ece50>"
]
},
"execution_count": 37,
"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.total_supply.plot(title='Total Supply')"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7ff29567ea90>"
]
},
"execution_count": 38,
"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.funds.plot(title='Funds')"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"# # Run the following code , without the #, in the images/snap folder to make a movie\n",
"# # ffmpeg -r 10 -i %01d.png -vcodec mpeg4 -y movie.mp4\n",
"# %%HTML\n",
"# <video width=\"400\" height=\"400\" controls>\n",
"# <source src=\"images/snap/movie.mp4\" type=\"video/mp4\">\n",
"# </video>"
]
},
{
"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
}