Aragon_Conviction_Voting/models/v3/Aragon_Conviction_Voting_Mo...

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{
"cells": [
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"cell_type": "markdown",
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"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 old versions to new cadCAD (Andrew)\n",
"* Close extra branches (Andrew)\n",
"* Factor the trigger function out. Trigger function notebook and how alpha notebook. (Andrew structure, Z work)\n",
"* Review all write-up, update README.md (Jeff, Andrew, Z)\n",
"* Make snap video and upload to youtube"
]
},
{
"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": [],
"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(100), #day \n",
" 'M': params,\n",
"})"
]
},
{
"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": [],
"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": 5,
"metadata": {
"scrolled": true,
"tags": []
},
"outputs": [
{
"data": {
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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_v3.png)\n",
"\n",
"## Schema of the states \n",
"The model consists of a temporal in memory graph database called *network* containing nodes of type **Participant** and type **Proposal**. Participants will have *holdings* and *sentiment* and Proposals will have *funds_required, status*(candidate or active), *conviction* Tthe model as three kinds of edges:\n",
"* (Participant, participant), we labeled this edge type \"influencer\" and it contains information about how the preferences and sentiment of one participant influence another \n",
"* (Proposal, Proposal), we labeled this edge type \"conflict\" and it contains information about how synergistic or anti-synergistic two proposals are; basically people are likely to support multiple things that have synergy (meaning once one is passed there is more utility from the other) but they are not likely to pass things that have antisynergy (meaning once one is passed there is less utility from the other).\n",
"* The edges between Participant and Proposal, which are described below.\n",
" \n",
"\n",
"Edges in the network go from nodes of type Participant to nodes of type Proposal with the edges having the key *type*, of which all will be set to *support*. Edges from participant $i$ to proposal $j$ will have the following additional characteristics:\n",
"* Each pairing (i,j) will have *affinity*, which determines how much $i$ likes or dislikes proposal $j$.\n",
"* Each participant $i$, assigns its $tokens$ over the edges (i,j) for all $j$ such that the summation of all $j$ such that ```Sum_j = network.edges[(i,j)]['tokens'] = network.nodes[i]['holdings']```. This value of tokens for participants on proposals must be less than or equal to the total number of tokens held by the participant.\n",
"* Each pairing (i,j) will have *conviction* local to that edge whose update at each timestep is computed using the value of *tokens* at that edge.\n",
"* Each proposal *j* will have a *conviction* which is equal to the sum of the conviction on its inbound edges: ```network.nodes[j]['conviction'] = Sum_i network.edges[(i,j)]['conviction']```. \n",
"\n",
"\n",
"The other state variables in the model are *funds*, *sentiment*, *effective_supply*, and *total_supply*.\n",
"\n",
"The system consists of 100 time steps without a parameter sweep or monte carlo.\n",
"\n",
" \n",
"## Partial State Update Blocks \n",
"\n",
"Each partial state update block is kind of a like a phase in a phased based board game. Everyone decides what to do and it reconciles all decisions. One timestep is a full turn, with each block being a phase of a timestep or turn. We will walk through the individaul Partial State update blocks one by one below."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"```\n",
"{\n",
"# system.py: \n",
"'policies': { \n",
" 'random': driving_process\n",
"},\n",
"'variables': {\n",
" 'network': update_network,\n",
" 'effective_supply':increment_supply,\n",
"}\n",
"```\n",
"\n",
"To simulate the arrival of participants and proposal into the system, we have a driving process to represent the arrival of individual agents. We use a random uniform distribution generator, over [0, 1), to calculate the number of new participants. We then use an exponential distribution to calculate the particpant's tokens by using a loc of 0.0 and a scale of expected holdings, which is calculated by .1*supply/number of existing participants. We calculate the number of new proposals by \n",
"```\n",
"proposal_rate = 1/median_affinity * (1+total_funds_requested/funds)\n",
"rv2 = np.random.rand()\n",
"new_proposal = bool(rv2<1/proposal_rate)\n",
"```\n",
"The network state variable is updated to include the new participants and proposals, while the *effective_supply state variable is updated for the additiona of new particpant's funds. \n",
"\n",
" {\n",
" 'policies': { \n",
" 'random': minting_rule\n",
" },\n",
" 'variables': {\n",
" 'total_supply': mint_to_supply,\n",
" 'funds':mint_to_funds,\n",
"\n",
" }\n",
"},\n",
"\n",
"A behavior called *minting_rule* is included to record the general expansion of system supply every day. The *total_supply* and *funds* state variables are incrased with these minted values.\n",
"[To see the partial state update's code, click here](model/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",
"* Add a uniswap instance\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": 6,
"metadata": {},
"outputs": [],
"source": [
"from model import config"
]
},
{
"cell_type": "code",
"execution_count": 7,
"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": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'N': 1,\n",
" 'T': range(0, 100),\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": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sim_config"
]
},
{
"cell_type": "code",
"execution_count": 9,
"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": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"partial_state_update_blocks"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Parameters\n",
"\n",
"Initial values are the starting values for the simulation."
]
},
{
"cell_type": "code",
"execution_count": 10,
"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": 10,
"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.\n",
"\n",
"Sim_config holds the global hyperparameters for the simulations"
]
},
{
"cell_type": "code",
"execution_count": 11,
"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": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sim_config[0]['M']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* $\\beta$ = .2 Upper bound on share of funds dispersed in the example Trigger Function\n",
"* $\\rho$ = 0.002 Scale Parameter for the example Trigger Function\n",
"* $\\alpha$ : 0.875 The decay rate for previously accumulated conviction\n",
"* $\\gamma$: 0.001 The expansion of supply per per day\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": "markdown",
"metadata": {},
"source": [
"## Initialization\n",
"Now we will initialize our model's state variables. "
]
},
{
"cell_type": "code",
"execution_count": 12,
"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 * "
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# initialize \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": 14,
"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": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'type': 'participant',\n",
" 'holdings': 124.29322795913713,\n",
" 'sentiment': 0.7527941657836325}"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#sample a participant\n",
"network.nodes[participants[0]]"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Count of Participants')"
]
},
"execution_count": 16,
"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": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Participants Social Network')"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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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": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'type': 'proposal',\n",
" 'conviction': 0,\n",
" 'status': 'candidate',\n",
" 'age': 0,\n",
" 'funds_requested': 2649.080215733546,\n",
" 'trigger': inf}"
]
},
"execution_count": 18,
"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": 19,
"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": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Amount of Honey requested(as a Fraction of Funds available)')"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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MzPqp5IyAiDiXglZCXUwBxkpahVQA7AB0bRF0PrAjcIKkZUiXiu7p43HMzGwulPQ1tK2kuyU9I2mGpJmSZvS2XUTMBiYClwB3AGdGxG2SDpG0TV7tEmC6pNuBy4D/jYjp/X85ZmbWVyVnBIcBW0fEHX3deURMBiZ3mXdQ5XkA++eHmZl1QEmroX/3pxAwM7N5Q8kZwVRJZ5Cu589qzcz1BmZmNo8rKQgWJ/Uv9MHKvKDvlcdmZjYIlQxe7wHrzcyGsF4LAkknkM4A5hARe9SSyMzMGlU0HkHl+UjgY8Aj9cQxM7OmlVwaOqc6Lel3wFW1JTIzs0aVNB/taiypa2ozMxsCSuoIZjJnHcFjwNdrS2RmZo1qN0LZ/BExOyIWazKQmZk1q92loetaTyQd0UAWMzPrgHYFQXWA4o3rDmJmZp3RriB43b0DZmY29LSrLH6rpJtJZwar5efk6YiIdWpPN8DGHHBxpyPM4b5Dt+p0BDOztgXB2xpLYWZmHdNjQRAR9zcZxMzMOqM/N5SZmdkQ4oLAzGyY67EgkHRp/vmj5uKYmVnT2lUWLydpI2AbSacz530FRMQNtSYzM7NGtCsIDgK+BYwGDu+yLIDN6gplZmbNaddq6GzgbEnfiojvNpjJzMwaVDIewXclbQO8N8+6PCIuareNmZnNO3ptNSTph8B+wO35sZ+kH9QdzMzMmlHSfHQrYIuIOD4ijge2BD5SsnNJW0q6S9I0SQd0s3w3SU9Iuik/PtO3+GZmNrdKxiwGWBL4T36+RMkGkkYARwFbAA8BUyRNiojbu6x6RkRMLMxhZmYDrKQg+CFwo6TLSE1I3wu87tt9N9YHpkXEPQC5CeoE0uUlMzMbJHq9NBQRvwM2BM4FzgHeHRFnFOx7BeDByvRDeV5XH5d0s6SzJa1YsF8zMxtARV1MRMSjETEpPx4bwONfCIzJXVr/CTipu5Uk7SVpqqSpTzzxxAAe3szM6uxr6GGg+g1/dJ73qoiYHhGz8uSxwDu721FEHBMR4yNi/KhRo2oJa2Y2XJVWFvfHFGCspFVIBcAOwE7VFSQtFxGP5sltgDtqzGMN8QBAZvOWooIgtwB6U3X9iHig3TYRMVvSROASYARwfETcJukQYGpETAL2zTerzSa1StqtX6/CzMz6rdeCQNI+wLeBfwOv5NkB9DpUZURMBiZ3mXdQ5fmBwIF9yGtmZgOs5IxgP+AtETG97jBmZta8ksriB4Fn6g5iZmadUXJGcA9wuaSLgVYLHyKia9fUZmY2DyopCB7IjwXzw8zMhpCSbqi/AyBp0Tz9bN2hzMysOSWthtYCTgGWztNPAp+KiNtqzmbWmMF074Pve7CmlVQWHwPsHxErR8TKwFeA39Qby8zMmlJSECwSEZe1JiLicmCR2hKZmVmjiloNSfoW6fIQwC6klkRmZjYElJwR7AGMInVDfW5+vkedoczMrDklrYaeAvZtIIuZmXVAjwWBpJ9HxJckXUjqW2gOEbFNrcnMzKwR7c4IWnUCP2kiiJmZdUaPBUFEXJ+frhsRv6guk7QfcEWdwczMrBkllcWf7mbebgOcw8zMOqRdHcGOpBHFVpE0qbJoMdIgMmZmNgS0qyO4GngUWAb4aWX+TODmOkOZmVlz2tUR3A/cL2ln4JGIeAFA0kKkgejvayShmZnVqqSO4ExeG6IS4GXgrHrimJlZ00oKgvkj4sXWRH7ucQnMzIaIkr6GnpC0TURMApA0AXiy3lhm1s5g6jYb3HX2vK6kINgbOE3SkYBIYxh/qtZUZmbWmJK+hv4FbOgRyszMhqaSMwIkbQWsCYyUBEBEHFJjLjMza0ivlcWSfg1sD+xDujT0CWDlkp1L2lLSXZKmSTqgzXoflxSSxhfmNjOzAVLSamijiPgU8FQeyP7dwBq9bSRpBHAU8GFgHLCjpHHdrLcYsB9wbV+Cm5nZwCgpCF7IP5+XtDzwErBcwXbrA9Mi4p7c5PR0YEI3630X+FHlOGZm1qCSguBCSUsCPwZuIN1R/NuC7VYgtTBqeSjPe5Wk9YAVI2JwtYUzMxtG2lYWS5oPuDQingbOkXQRMDIinpnbA+d9H05BT6aS9gL2AlhppZXm9tBmZlbR9owgIl4hXedvTc/qQyHwMLBiZXp0nteyGLAWcLmk+4ANgUndVRhHxDERMT4ixo8aNarw8GZmVqLk0tCluVWP+rjvKcBYSatIWhDYAXi1O+uIeCYilomIMRExBrgG2CYipvbxOGZmNhdKCoLPkTqZmyVphqSZkmb0tlFEzAYmApcAdwBnRsRtkg6R5PGOzcwGiXYD02wYEddExGL93XlETAYmd5l3UA/rvr+/xzEzs/5rd0bwy9YTSX9vIIuZmXVAu4KgWicwsu4gZmbWGe2aj84naSlSYdF6/mrhEBEet9jMbAhoVxAsAVzPax/+N1SWBbBqXaHMzKw57cYsHtNgDjMz65CS5qNmZjaEuSAwMxvmXBCYmQ1zRSOUAUhalkoz0oh4oJZEZmbWqJIRyraRdDdwL3AFqRvq39ecy8zMGlJyaei7pJ5B/xkRqwAfIHUQZ2ZmQ0BJQfBSREwn3VQ2X0RcBnhsYTOzIaKkjuBpSYsCfwVOk/Q48Fy9sczMrCklZwQTgOeBLwN/AP4FbF1nKDMza06vZwQR0fr2/wpwUr1xzMysab6PwMxsmHNBYGY2zPWpIJC0lKR16gpjZmbNK7mh7HJJi0tamtQV9W8kHV5/NDMza0LJGcESETED2BY4OSI2ADavN5aZmTWlpCCYX9JywCeBi2rOY2ZmDSspCA4BLgGmRcQUSasCd9cby8zMmlJyH8FZwFmV6XuAj9cZyszMmtNrQSBpJLAnsCZzdkO9R425zMysISWXhk4B3gx8iNQN9WhgZsnOJW0p6S5J0yQd0M3yvSXdIukmSVdJGteX8GZmNvdKCoLVI+JbwHMRcRKwFbBBbxtJGgEcBXwYGAfs2M0H/W8jYu2IWBc4DHCzVDOzhhV1Q51/Pi1pLWAJYNmC7dYnVTDfExEvAqeTOrB7VW6W2rIIEAX7NTOzAVTSDfUxkpYCvglMAhYFvlWw3QrAg5Xph+jmTELSF4H9gQWBzQr2a2ZmA6jXM4KIODYinoqIv0bEqhGxbEQcPVABIuKoiFgN+DqpsHkdSXtJmipp6hNPPDFQhzYzM9oUBJJ2kdRu+WqSNmmz74eBFSvTo/O8npwOfLS7BRFxTESMj4jxo0aNarMLMzPrq3aXht4I3CjpeuB64AlS89HVgfcBTwKvawlUMQUYK2kVUgGwA7BTdQVJYyOidXPaVvhGNTOzxvVYEETELyQdSbpuvzGwDvBf4A5g14h4oN2OI2K2pImku5JHAMdHxG2SDgGmRsQkYKKkzUkV0k8Bnx6IF2VmZuXaVhZHxMvAn/KjzyJiMjC5y7yDKs/3689+zcxs4PRYEEg6gjbNOSNi31oSmZlZo9q1GppKqhsYCaxHun5/N7AuqamnmZkNAe3qCE4CkPR5YJOImJ2nfw1c2Uw8MzOrW8mdxUsBi1emF83zzMxsCCi5s/hQUjPSywAB7wUOrjOUmZk1p2Q8ghMk/Z7Xuof4ekQ8Vm8sMzNrSsng9SKNUfz2iLgAWFDS+rUnMzOzRpTUEfwSeDewY56eSepe2szMhoCSOoINImI9STcCRMRTktx81MxsiCgajyAPMhMAkkYBr9SayszMGlNSEPw/4DxgWUnfB64CflhrKjMza0xJq6HTcg+kHyA1H/1oRNxRezIzM2tErwWBpFMiYlfgzm7mmZnZPK7k0tCa1YlcX/DOeuKYmVnT2o1AdqCkmcA6kmbkx0zgceCCxhKamVmteiwIIuKHEbEY8OOIWDw/FouIN0bEgQ1mNDOzGpVcGrpI0iLw6jjGh0taueZcZmbWkJKC4FfA85LeDnwF+Bdwcq2pzMysMSUFweyICGACcGREHAUsVm8sMzNrSkkXEzMlHQjsCrxH0nzAAvXGspYxB1zc6QhzuO/QrTodwcwGWMkZwfbALGCP3P30aODHtaYyM7PG9FoQ5A//c4A35FlPkrqcMDOzIaBkPILPAmcDR+dZKwDn1xnKzMyaU3Jp6IvAxsAMgIi4G1i2zlBmZtackoJgVkS82JqQND+5S2ozM5v3lRQEV0j6BrCQpC2As4ALS3YuaUtJd0maJumAbpbvL+l2STdLutQ3qpmZNa+kIDgAeAK4BfgcMBn4Zm8b5c7pjgI+DIwDdpQ0rstqNwLjI2IdUj3EYeXRzcxsIJSMR/AK8Jv86Iv1gWkRcQ+ApNNJN6XdXtn3ZZX1rwF26eMxzMxsLpWMR3Av3dQJRMSqvWy6AvBgZfohYIM26+8J/L6HDHsBewGstNJKvRzWzMz6ouTO4vGV5yOBTwBLD2QISbvk47yvu+URcQxwDMD48eNdUW1mNoBKbiibXnk8HBE/B0r6GXgYWLEyPTrPm4OkzYH/A7aJiFmFuc3MbICUXBparzI5H+mbe8mZxBRgrKRVSAXADsBOXfb9DtKNaltGxOOloc3MbOCUfKD/tPJ8NnAf8MneNoqI2ZImApcAI4DjI+I2SYcAUyNiEqnPokWBsyQBPBAR2/TtJZiZ2dwoaTW0aX93HhGTSc1Nq/MOqjzfvL/7NjOzgVFyaWj/dssj4vCBi2NmZk0rbTX0LmBSnt4auA64u65QZmbWnJKCYDSwXkTMBJB0MHBxRPjmLzOzIaCki4k3AS9Wpl/M88zMbAgoOSM4GbhOUmswmo8CJ9UXyczMmlTSauj7kn4PvCfP2j0ibqw3lpmZNaXkjABgYWBGRJwgaZSkVSLi3jqDmdnQMuaAizsdYQ73HVrSQcLwUDJU5beBrwMH5lkLAKfWGcrMzJpTUln8MWAb4DmAiHgEWKzOUGZm1pySguDFiAhyV9SSFqk3kpmZNamkIDhT0tHAkpI+C/yZvg9SY2Zmg1TbymKlnuDOAN4KzADeAhwUEX9qIJuZmTWgbUEQESFpckSsDfjD38xsCCq5NHSDpHfVnsTMzDqi5D6CDYCdJd1Pajkk0snCOrUmMzOzRpQUBB+qPYWZmXVMSRcT9zcRxMzMOqOkjsDMzIYwFwRmZsNcSV9D+0haqokwZmbWvNKBaaZIOlPSlvkmMzMzGyJ6LQgi4pvAWOA4YDfgbkk/kLRazdnMzKwBRXUEudO5x/JjNrAUcLakw2rMZmZmDei1+aik/YBPAU8CxwL/GxEvSZoPuBv4Wr0RzcysTiVnBEsD20bEhyLirIh4CSAiXgE+0m7DXKdwl6Rpkg7oZvl7Jd0gabak7fr1CszMbK6U1BF8G1hR0u4AraEq87I7etpO0gjgKODDwDhgR0njuqz2AKne4bf9Sm9mZnOt5NLQt4HxpC6oT+C1oSo37mXT9YFpEXFP3s/pwATg9tYKEXFfXvZKP7KbmdkAqHOoyhWAByvTD+V5ZmY2iMwTQ1VK2kvSVElTn3jiiaYPb2Y2pNU5VOXDwIqV6dF5Xp9FxDERMT4ixo8aNao/uzAzsx6U9D76E0lb0PehKqcAY3PF8sPADsBOcxPWzMwGXsl4BOQP/j4NVRkRsyVNBC4BRgDHR8Rtkg4BpkbEpDzy2XmkG9S2lvSdiFizby/BzMzmRkmroW2BHwHLkkYna41Qtnhv20bEZGByl3kHVZ5PIV0yMjOzDik5IzgM2LrdPQNmZjbvKqks/rcLATOzoavkjGCqpDOA84FZrZkRcW5tqczMrDElBcHiwPPAByvzAnBBYGY2BJQ0H929iSBmZtYZJUNVjpZ0nqTH8+McSW7pY2Y2RJRUFp8ATAKWz48L8zwzMxsCSgqCURFxQkTMzo8TAffzYGY2RJQUBNMl7SJpRH7sAkyvO5iZmTWjpCDYA/gkabziR4HtAFcgm5kNESWthu4njUdgZmZDUI8FgaQjyGMQdCci9q0lkZmZNardGcHUyvPvAN+uOYuZmXVAjwVBRJzUei7pS9VpMzMbOkoqi6HNJSIzM5u3lRYEZmY2RLWrLJ7Ja2cCC0ua0VpE4cA0ZmY2+LWrI1isySBmZtYZvjRkZjbMuSAwMxvmeiwIJL2hySBmZtYZ7c4I/g4g6ZSGspiZWQe0u7N4QUk7ARtJ2rbrQo9ZbGY2NMuYOlcAAAs0SURBVLQrCPYGdgaWBLbussxjFpuZDRHtmo9eBVwlaWpEHNefnUvaEvgFMAI4NiIO7bL8DcDJwDtJYxxsHxH39edYZmbWPyWthk6RtK+ks/NjH0kL9LaRpBHAUcCHgXHAjpLGdVltT+CpiFgd+Bnwoz7mNzOzuVRSEPyS9I39l/mxHvCrgu3WB6ZFxD0R8SJwOjChyzoTgFZndmcDH5CkkuBmZjYweh2YBnhXRLy9Mv0XSf8o2G4F4MHK9EPABj2tExGzJT0DvBF4smD/ZmY2AEoKgpclrRYR/wKQtCrwcr2x5iRpL2CvPPmspLuaPH43lmEACis1eyHMmes3r+UFZ27KYMi8ck8LSgqC/wUuk3QPqcO5lSkbs/hhYMXK9Og8r7t1HpI0P7AEqdJ4DhFxDHBMwTEbkSvQx3c6R184c/3mtbzgzE0Z7JlLxiy+VNJY4C151l0RMatg31OAsZJWIX3g7wDs1GWdScCnSTevbQf8JSI89oGZWYNKzgjIH/w392XH+Zr/ROASUvPR4yPiNkmHAFMjYhJwHKlV0jTgP6TCwszMGlRUEPRXREwGJneZd1Dl+QvAJ+rMUJNBc5mqD5y5fvNaXnDmpgzqzPKVGDOz4a3X+wgkXVoyz8zM5k3tuqEeKWlpYBlJS0laOj/GkNr/Dwv5fbhO0j8k3SbpO3n+KpKulTRN0hmSFux0Vmibd2LOGpKW6XTOqjaZT5N0l6RbJR1fckd7U9pkPi7Puznfib9op7O29JS5svz/SXq2U/m6avMenyjpXkk35ce6nc7a0iazJH1f0j8l3SFp305nnUNEdPsA9gPuBWYB9+Tn9wL/ACb2tN1Qe5CazC6any8AXAtsCJwJ7JDn/xr4fKez9pL3HcAY4D5gmU7nLMz8P3mZgN8Nlve4l8yLV9Y5HDig01l7y5ynxwOnAM92OmfBe3wisF2n8/Ux8+6kftXmy8uW7XTW6qPHM4KI+EVErAJ8NSJWjYhV8uPtEXFkT9sNNZG0viUtkB8BbEbqFgNSNxkf7UC81+kpb0TcGIO0Q782mSfnZQFcR7oXZVBok3kGpG+AwEKkv5VBoafMuV+wHwNf61i4brT53xu02mT+PHBIRLyS13u8QxG71WsdQUQcIWkjSTtJ+lTr0US4wULSCEk3AY8DfwL+BTwdEbPzKg8xiC6Xdc0bEdd2OlNv2mXOl4R2Bf7QqXzd6SmzpBOAx4C3Akd0MOLr9JB5IjApIh7tbLrXa/N38f18+e1nGmSjKfaQeTVge0lTJf0+35s1aJRUFp8C/ATYBHhXfgzaO+TqEBEvR8S6pG+k65P+wQetrnklrdXpTL3pJfMvgb9GxJWdSde9njJHxO7A8sAdwPYdjPg63WR+L6kJ96AqsFp6eI8PJP0PvgtYGvh6ByO+Tg+Z3wC8EOnu4t8Ax3cyY1clvY+OBzaOiC9ExD75MbgqOhoSEU8DlwHvBpbM3WJA991ndFwl75adzlKqa2ZJ3wZGAft3Mlc73b3PEfEyqcfdj3cqVzuVzJsCqwPTJN0HLJxv8BxUqu9xRDyaL8HMAk4gfTkbdLr8XTzEa4N5nQes06lc3SkpCG4F3lx3kMFK0ihJS+bnCwFbkL7pXUbqFgNSNxkXdCbhnHrIe2dnU7XXU2ZJnwE+BOzYurY6WPSQ+S5Jq+d5ArZhEL33PWS+PiLeHBFjImIM8Hyk8UE6rs3fxXJ5nkh1c7d2LuWc2vz/nU8qdAHeB/yzMwm7V3Jn8TLA7ZKuI7UgAiAitqkt1eCyHHBSrlCbDzgzIi6SdDtwuqTvATeSussYDHrKuy+pMvDNwM2SJkfEZzoZtKKnzLOB+4G/p/95zo2IQzqYs+p1mYGLgSslLU5qPfIPUiXhYNHt+9zhTO309HfxF0mjSO/xTaRhdQeLnjJfBZwm6cvAs8Bg+d8DCu4slvS+7uZHxBW1JDIzs0a5iwkzs2Gu10tDkmbyWtvdBUntYp+LiMXrDGZmZs0oGY9gsdbzXDkzgXSnnJmZDQH9ujQk6caIeEcNeczMrGEll4a2rUzOR7qv4IXaEpmZWaNK7iPYuvL4EDCTdHnIrFaSXs69S94q6SxJC3c6U0vuAXO7buYfImnzbua/X1K/m2pK+kaX6asrz3+ce7r8saS9h1sXMDb33GrIBi1Jz0bEovn5aaSbnw6vLJ+/0t9T09lOBC6KiLN7Wzev/35SB44f6efxXn0vuln2DLB0vpu5r/vt2Htog0dJX0OjJZ0n6fH8OEfSoOkF0oaNK4HV8zfrKyVNIt3oOFLSCZJukXSjpE0BJO0m6QJJl0u6O3dVQV62fz7LuFXSl/K8RSRdrNSP/K2Sts/zD5I0Jc87JjeY6FH1TEHSlpLulHQDsG1lnUWUxle4LmeeUMl8rqQ/5MyH5fmHAgvls6PT8rxn889JwKLA9ZK2l3SwpK/mZavlfV2f37O3VjL+WtK1wGFz/ZuxeV7JncUnAL/ltbGFd8nztqgrlFmVUp9OH+a13kfXA9aKiHslfYXU++/a+YPuj5LWyOutD6wFPA9MkXQxqSn07sAGpDtTr5V0BbAq8EhEbJWPuUTex5Gtu5mVOmD8CHBhQeaRpM7FNgOmAWdUFv8f8JeI2EOpO4LrJP05L1uXNHbELFKXFUdExAGSJuaOzOYQEdvks4V183EPriw+Btg7Iu6WtAGp877N8rLRwEb9OYuwoaekjmBURJwQEbPz40RSJ2BmdVtIqTvfqcADvNaNx3URcW9+vglwKkBE3EnqkqJVEPwpIqZHxH9JHX5tkh/nRcRzud/4c4H3ALcAW0j6kaT3RMQzeR+bKo1EdwvpQ3TNwuxvBe6NiLvzeAqnVpZ9EDggv7bLgZHASnnZpRHxTES8ANwOrFx4vDkojYy2EXBWPs7RpO4PWs5yIWAtJWcE0yXtQhohCmBHYHp9kcxe9d+u34LzlZnnCrfvWgHWY4VYRPxT0nqkUdG+pzQu92Gkb9HjI+LB/G17ZOGx2xHw8Yi4a46Z6Vv7rMqslyn7H+3OfKQxM3oaxrH0PbRhoOSMYA/gk6SBNh4l9bi5e52hzPrgSmBngHxJaCWg9QG7hdI42wuReqn8W17/o5IWlrQI8DFSR3HLk3rePJU0Wtd6vPah/2T+hv26VkJt3AmMkbRant6xsuwSYJ9WfYOkkntyXlIfxmyONFLavZI+kY8hSW8v3d6Gl5I7i+8ndadrNhj9EvhVvnQzG9gtImblz9jrgHNI18NPjYip8GqLn+vy9sdGxI2SPgT8WNIrwEuk8ZGflvQbUjfHjwFTSkNFxAuS9gIulvQ8qQBq3aX/XeDnpF5g5yONBd5ba6Jj8vo3RMTOhTF2Jr033yR1DXM6qUdUszmU9D66CrAPaeDzVwuOYdQNtc2DJO1GuqQzsdNZzAa7kuuP55Mq6S4EBtXgIGZmNvdKzgiujYgNGspjZmYNKykIdgLGAn9kzhHKbqg3mpmZNaHk0tDawK6kNtStS0PBazemmJnZPKzkjGAaMC4iXmwmkpmZNankPoJbgSXrDmJmZp1RcmloSeBOSVOYs47AzUfNzIaAkoLg272vYmZm86o+j0cgaRNgx4j4Yj2RzMysSUUdWuW+UHYidUV9L+m2fTMzGwJ6LAhyB1475seTpP7UFRGbNpTNzMwa0OOlodz51pXAnhExLc+7JyJWbTCfmZnVrF3z0W1J3U5fJuk3kj5A6kfdzMyGkJIbyhYBJpAuEW0GnEwa4emP9cczM7O69anVkKSlSBXG20fEB2pLZWZmjelz81EzMxtaSrqYMDOzIcwFgZnZMOeCwMxsmHNBYGY2zLkgMDMb5v4/SJLIEidioRAAAAAASUVORK5CYII=\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": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Amount of Conviction')"
]
},
"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, 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": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 55.73999999999998, 'Participant_id')"
]
},
"execution_count": 22,
"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": 23,
"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": 24,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
" ___________ ____\n",
" ________ __ ___/ / ____/ | / __ \\\n",
" / ___/ __` / __ / / / /| | / / / /\n",
"/ /__/ /_/ / /_/ / /___/ ___ |/ /_/ /\n",
"\\___/\\__,_/\\__,_/\\____/_/ |_/_____/\n",
"by cadCAD\n",
"\n",
"Execution Mode: local_proc\n",
"Configuration Count: 2\n",
"Dimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (100, 11, 1, 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: 359.11s\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": 25,
"metadata": {},
"outputs": [],
"source": [
"df= run.postprocessing(rdf,0)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"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>14020.01</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>[3962.116426105169, 1481.56111980703, 2894.649...</td>\n",
" <td>[0.5920010502365513, 0.13371221827969984, 0.40...</td>\n",
" <td>[0.810314673430668, 0.30300238202342566, 0.592...</td>\n",
" <td>[inf, 65014.39869874115, inf]</td>\n",
" <td>[0.0, 0.006175148379205912, 0.0]</td>\n",
" <td>[1, 1, 1]</td>\n",
" <td>[1, 1, 1, 1, 1, 1, 1, 1, 1]</td>\n",
" <td>[0.0, 0.0, 1313.7021360761087, 0.0, 401.473558...</td>\n",
" <td>[inf, inf, inf, 4730730.145030423, 65014.39869...</td>\n",
" <td>[0.0, 0.0, 0.0, 0.0, 0.006175148379205912, 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>14020.01</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>[3962.116426105169, 1481.56111980703, 2894.649...</td>\n",
" <td>[0.5892996193522259, 0.13310206004446004, 0.40...</td>\n",
" <td>[0.8066170295093389, 0.3016197155695483, 0.589...</td>\n",
" <td>[inf, 63813.311953502205, inf, 8674.20718682993]</td>\n",
" <td>[0.0, 0.014307348007279395, 0.0, 0.01413094724...</td>\n",
" <td>[2, 2, 2, 1]</td>\n",
" <td>[2, 2, 2, 2, 2, 2, 2, 2, 2, 1]</td>\n",
" <td>[0.0, 0.0, 2143.825132901853, 0.0, 912.9992616...</td>\n",
" <td>[nan, nan, inf, nan, 63813.311953502205, inf, ...</td>\n",
" <td>[nan, nan, 0.0, nan, 0.014307348007279395, 0.0...</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>14020.01</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>[3962.116426105169, 1481.56111980703, 2894.649...</td>\n",
" <td>[0.5866200662042382, 0.1324968432204821, 0.402...</td>\n",
" <td>[0.8029493312287631, 0.30024824674145384, 0.58...</td>\n",
" <td>[inf, 62654.57210552851, inf, 8665.316980224132]</td>\n",
" <td>[0.0, 0.021715641906103773, 0.0, 0.09037218411...</td>\n",
" <td>[3, 3, 3, 2]</td>\n",
" <td>[3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 1]</td>\n",
" <td>[0.0, 0.0, 3209.0281900579043, 0.0, 1360.58425...</td>\n",
" <td>[nan, nan, inf, nan, 62654.57210552851, inf, n...</td>\n",
" <td>[nan, nan, 0.0, nan, 0.021715641906103773, 0.0...</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>14020.01</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>[3962.116426105169, 1481.56111980703, 2894.649...</td>\n",
" <td>[0.5839621274190244, 0.13189650832094, 0.40041...</td>\n",
" <td>[0.7993112180904863, 0.29888784073732527, 0.58...</td>\n",
" <td>[inf, 61536.11738444023, inf, 8656.51226656395...</td>\n",
" <td>[0.0, 0.028474677837309486, 0.0, 0.18425758671...</td>\n",
" <td>[4, 4, 4, 3, 1]</td>\n",
" <td>[4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 2, 1]</td>\n",
" <td>[0.0, 0.0, 3567.367475078129, 0.0, 1752.221117...</td>\n",
" <td>[nan, nan, inf, nan, 61536.11738444023, inf, n...</td>\n",
" <td>[nan, nan, 0.0, nan, 0.028474677837309486, 0.0...</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>14029.51</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>[3962.116426105169, 1481.56111980703, 2894.649...</td>\n",
" <td>[0.5813255438334881, 0.13130099681000426, 0.39...</td>\n",
" <td>[0.7957023353592263, 0.29753836491037844, 0.58...</td>\n",
" <td>[inf, 60456.01255760421, inf, 8647.79182623095...</td>\n",
" <td>[0.0, 0.03541020226310542, 0.0, 0.253037649567...</td>\n",
" <td>[5, 5, 5, 4, 2, 1]</td>\n",
" <td>[5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 3, 2, 1]</td>\n",
" <td>[0.0, 0.0, 5056.443178879392, 0.0, 2140.759632...</td>\n",
" <td>[nan, nan, inf, nan, 60456.01255760421, inf, n...</td>\n",
" <td>[nan, nan, 0.0, nan, 0.03541020226310542, 0.0,...</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 14020.01 22414.61 0 0 1 5 \n",
"10 14020.01 22437.03 0 0 1 5 \n",
"15 14020.01 22459.46 0 0 1 5 \n",
"20 14020.01 22481.92 0 0 1 5 \n",
"25 14029.51 22504.41 0 0 1 5 \n",
"\n",
" timestep ... funds_requested \\\n",
"5 1 ... [3962.116426105169, 1481.56111980703, 2894.649... \n",
"10 2 ... [3962.116426105169, 1481.56111980703, 2894.649... \n",
"15 3 ... [3962.116426105169, 1481.56111980703, 2894.649... \n",
"20 4 ... [3962.116426105169, 1481.56111980703, 2894.649... \n",
"25 5 ... [3962.116426105169, 1481.56111980703, 2894.649... \n",
"\n",
" share_of_funds_requested \\\n",
"5 [0.5920010502365513, 0.13371221827969984, 0.40... \n",
"10 [0.5892996193522259, 0.13310206004446004, 0.40... \n",
"15 [0.5866200662042382, 0.1324968432204821, 0.402... \n",
"20 [0.5839621274190244, 0.13189650832094, 0.40041... \n",
"25 [0.5813255438334881, 0.13130099681000426, 0.39... \n",
"\n",
" share_of_funds_requested_all \\\n",
"5 [0.810314673430668, 0.30300238202342566, 0.592... \n",
"10 [0.8066170295093389, 0.3016197155695483, 0.589... \n",
"15 [0.8029493312287631, 0.30024824674145384, 0.58... \n",
"20 [0.7993112180904863, 0.29888784073732527, 0.58... \n",
"25 [0.7957023353592263, 0.29753836491037844, 0.58... \n",
"\n",
" triggers \\\n",
"5 [inf, 65014.39869874115, inf] \n",
"10 [inf, 63813.311953502205, inf, 8674.20718682993] \n",
"15 [inf, 62654.57210552851, inf, 8665.316980224132] \n",
"20 [inf, 61536.11738444023, inf, 8656.51226656395... \n",
"25 [inf, 60456.01255760421, inf, 8647.79182623095... \n",
"\n",
" conviction_share_of_trigger age \\\n",
"5 [0.0, 0.006175148379205912, 0.0] [1, 1, 1] \n",
"10 [0.0, 0.014307348007279395, 0.0, 0.01413094724... [2, 2, 2, 1] \n",
"15 [0.0, 0.021715641906103773, 0.0, 0.09037218411... [3, 3, 3, 2] \n",
"20 [0.0, 0.028474677837309486, 0.0, 0.18425758671... [4, 4, 4, 3, 1] \n",
"25 [0.0, 0.03541020226310542, 0.0, 0.253037649567... [5, 5, 5, 4, 2, 1] \n",
"\n",
" age_all \\\n",
"5 [1, 1, 1, 1, 1, 1, 1, 1, 1] \n",
"10 [2, 2, 2, 2, 2, 2, 2, 2, 2, 1] \n",
"15 [3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 1] \n",
"20 [4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 2, 1] \n",
"25 [5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 3, 2, 1] \n",
"\n",
" conviction_all \\\n",
"5 [0.0, 0.0, 1313.7021360761087, 0.0, 401.473558... \n",
"10 [0.0, 0.0, 2143.825132901853, 0.0, 912.9992616... \n",
"15 [0.0, 0.0, 3209.0281900579043, 0.0, 1360.58425... \n",
"20 [0.0, 0.0, 3567.367475078129, 0.0, 1752.221117... \n",
"25 [0.0, 0.0, 5056.443178879392, 0.0, 2140.759632... \n",
"\n",
" triggers_all \\\n",
"5 [inf, inf, inf, 4730730.145030423, 65014.39869... \n",
"10 [nan, nan, inf, nan, 63813.311953502205, inf, ... \n",
"15 [nan, nan, inf, nan, 62654.57210552851, inf, n... \n",
"20 [nan, nan, inf, nan, 61536.11738444023, inf, n... \n",
"25 [nan, nan, inf, nan, 60456.01255760421, inf, n... \n",
"\n",
" conviction_share_of_trigger_all \n",
"5 [0.0, 0.0, 0.0, 0.0, 0.006175148379205912, 0.0... \n",
"10 [nan, nan, 0.0, nan, 0.014307348007279395, 0.0... \n",
"15 [nan, nan, 0.0, nan, 0.021715641906103773, 0.0... \n",
"20 [nan, nan, 0.0, nan, 0.028474677837309486, 0.0... \n",
"25 [nan, nan, 0.0, nan, 0.03541020226310542, 0.0,... \n",
"\n",
"[5 rows x 33 columns]"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f680aba1dd0>"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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xq4mqCn4sW+zsyxOPCk1JDRt+pWfGZb3ZAke7MtzU5s2iDiJiTexUQyA41NnPnESUu9+1TvPmHon7NOXS3JjU94SPaQ7dZUND/r3LOcejUlMgaO/sZ3Vzo/7heqge4wlqpcP+/U976FPwyO4Ovvdcx4TbnO61Lhy9wcOAbq12M/3ca3t6wJOSSzXEj0P/O3XYv+9pD30KvrWjnX3He8gVyuP+m5eK8+43rvC0ZruWmfqKpTJHuwZ0hXaP+bHKJa3D/n1Pe+hTcLhrgHduWMp//90NXjdlQrUE9I4zGYplQ2uzBnQv+bEOvas/rwHd57SHXqXuTIGzAwVWLZrjdVMmVctqN4c6+wG0h+4xv6VcBvJFBvIlTbn4nAb0Kh1JDwCwujkAAT0WnXbPzgnorRrQPeW3HvpgDbr20H1NA3qVDndZgW7VIv8HOuui6PQWRmhP99OUjOkfrsfcGE/gpqGJufR94Wca0Kt0pMvqoa8KQA89GY2QL06vyuVQZz+tLVqy6DW/XRRN67D/QNCAXqUj6QFa5iaYG4BRcrVcFG1P92u6xQciEbHGE/gkh96pKZdA0IBepcPpgUBcEAUn5TL1QJAvljl2JqMXRH0iEY1Q8EsPXedxCQQN6FU60hWggD7Nof9HugYoG1jTEozXGXbT/WCuh67+HA3xKHMS/v+GOptpQK9CrljieHeGVQGpzZ5uymWwwiUgrzPsakmduU2H/QeDBvQqHDuTwRhYHZQe+jQDQbvWoPuKnwJ6pw4qCgQN6FU43BWcGnSY/lf1Q+l+FsyJs2CO/uH6QSIaIeeTlEu6L6cVLgGgAb0KzqCiIJQsgh0IptlD13SLf9QyQMxtOuw/GDSgV+FweoCGeJTFAemhJGtIubxO0y2+4ZeUizGGdF+eRZpD9z0N6FU40tXPqkVzAjPYxkm5GFP9aNFsocTx7qzWoPtIssaFStzSmyuSL5VpaQxGh2Y204BehcPpgcCkW8BKuRgDxXL1Ab09rXO4+I1fyhZP9VijRBc3aUD3Oy0qnYQxhiNdA7xl7WKvm1K1yomd4tEIP37xBF/7xaswQY+9N1sEYI3m0H0jEYvQnSl43QxOdmcBWOrhHP+qOhrQJ3GqN0euWA5MhQsMD+iNSfjRCyf49ak+2loXjvuchY0JNq5awOvP1ZWK/KLWtWHdcrw7A8DS+Q0et0RNRgP6JA7bFS4rA1KDDqPn0j7RneHiFfPZ8sFNXjZLTZFfUi5OD33JfE25+F1VOXQRuUZEXhaRgyJy1zjbvFdE9ovIPhH5v+420zuH7dzy6gClIkbO1HeyO8u5+nU5cPxS5XKiO0PL3ATJWNTrpqhJTNpDF5Eo8FXgaqADeEZEthpj9ldscwHwKWCzMeaMiJxTrwbPtCNdA0QEli8IztdNp4eeK5YplQ2nenOa/wygRGx64wncdqI7q+mWgKgm5bIJOGiMeRVARB4CbgT2V2zzR8BXjTFnAIwxp9xuqKN7oMCZgXy9dj/KSyd7WbagYTBIBkGyIoee7stRLBvO1T/IwEnUMK+9m06czQaqyms2qyagLweOVtzuAC4fsc1aABHZDkSBvzDGPOZKC0d46Jkj/M2PX6rHrsf1WwGqcIHhOfQTToXCPO2hB03SJzn0E90ZrnjdIq+boarg1kXRGHABcBWwAviFiGwwxpyt3EhEbgNuA1i1atW0DvTWN5zDOfNm9uJM2+pgvZkTUSvXmS+WB5cO0xx68Pghh96fK9KTLeo3vICoJqAfA1ZW3F5h31epA3jaGFMADonIK1gB/pnKjYwx9wP3A7S1tU1r0cu1S5pYu0RL6yZSWbZ4crDkTAN60CSiEcoGiqUysag3KT/nG96yBfr+CYJq3iXPABeIyBoRSQA3A1tHbPN9rN45ItKClYJ51cV2qikYSrmUONGTJRGNsEgnVgqckeWnXjhhdwjO1ZRdIEwa0I0xReCjwOPAAeC7xph9InKfiNxgb/Y4kBaR/cATwCeNMel6NVpNrLJs8WR3liXzk4GZh0YNqfym5ZUTZ50euqZcgqCqHLoxZhuwbcR9d1f8bIBP2P+UxyrLFk90Z1k6T/8Yg8gXAd1Oucz0dSs1PcGpxVNVqyxbfK1HBxUFVTw69MHsFWtQUVIHFQWEBvQQqgwE1qAQDehBlPRFDl3fP0GiAT2EnK/qp3qy5Itl7aEH1MgpHLxwojujAT1ANKCHkBPQnbVQ9Q8ymPySQ9f3T3BoQA8hp2fnzBS5REvOAsnrssW+XJHebJGlWuESGBrQQygetUoUjwz20PUPMoi8TrnooLTg0YAeQiJCIhahqz9PNCK6dFhAeZ1yOX7WWalIOwRBoQE9pJJ27+6cpiTRiA4qCqLK8QRe0KXngkcDekg5wUArXILL67JFZ+k5vQYTHBrQQ8oJ6Nq7Cq7KWTO9cLI7S8vcZKDWApjt9EyF1GAPXYf9B5ZzDgue9dC1ZDFoNKCHlFMhca4u7BtYXl8UPamDigJHA3pIDeXQtYceVF4H9BNntYceNG6tWKR8RnPowTdYhz6DKZdsoUS+VGYgV6I3p4OKgkYDekgNply0QiGwnAFibpQtDuSLbD+YplS2Fgpb3JTgshFLKx481ce1f/cLCqWhxcR0HvRg0YAeUk4PXUvOgssZIOZGyuVbOw6PWlz92c9ePWwlq6NnBiiUDB/c3MryBQ0k41GuvnBJzcdWM0cDekglYxEtOQuBZNSdgH6iO0tjIsrDH3kTT7x8is8//jI9mcKwgJ4rlAB4z2UrWbdsXs3HVDNPA3pI/UbrIhY3ae886JLxCLliqeb9pPvztDQlWbdsHu3pfgCyI/abLVgfHKm4dgKCSgN6SP3xW87zugnKBclYdDDQ1qKrPzfYG2+IWwOWRu43a/fQU3FdnSio9KNYKR9LxSOjetLTke7L09xojUlI2j3wTH5kD10DetBpQFfKxxoSUbJ5d1IuzXYP3QnYo1IuRU25BJ2eOaV8LBWL1txDN8Zwpj/PormJwX3C0EVQh9NjT+mC0IGlAV0pH0vFa8+h92SKFMumoodu/dmPyqEXSyRiESI63XJgaUBXysdS8cioXPdUpftzADTbPfSGhNUDz4zooecKZVJa5hpoevaU8rFUvPaUS7o/D8Ai+6Kok1LJFkZfFNULosGmAV0pH0vFo+RqTLmk+6yAPuqi6BhlixrQg00DulI+lopHRqVGpqprsIduBXRnJaTRPfSyVrgEnJ49pXysIR4dFXinqsvOoTsBPRIRkrHIqP1mCqXBQUcqmDSgK+VjKTugG2Mm33gc6f48c5OxYemU1BgfFNlCiaQG9EDTgK6Uj6XiUcqGYVPaTlW6Lz9sEi5rv5ExyhbLmkMPOA3oSvmYk++uJY/e1T9WQB9dPZMrlLRsMeD07CnlY07N+MhRnVOR7s/TMnd4QG+IR8ecy0V76MGmAV0pHxuqGZ9+6WLlTIuOZDw6OHeLQ6tcgk/PnlI+5vSYp5tyMcbYKZfk8P2OUeWSLWoPPeg0oCvlYw2JsWvGq9WTLVIoDc3j4rAGLI2enEvLFoNNA7pSPjbeMP1qOYOKmsfIoVemcYwx5IplLVsMOA3oSvlYcnDu8unl0EcOKnKMHIGa07nQQ6Gqsyci14jIyyJyUETummC7d4uIEZE295qo1OzlpECmO+Pi0DwuI3LoIwYWDa5WpHOhB9qkAV1EosBXgWuBdcAtIrJujO2agI8DT7vdSKVmK6fHPN2FogdnWpw7Rh36sIBeHrxfBVc1PfRNwEFjzKvGmDzwEHDjGNv9JfC3QNbF9ik1qw3NjFhjDn3MgUVDaZyh9UQ15RJk1Zy95cDRitsd9n2DROSNwEpjzL9NtCMRuU1EdonIrtOnT0+5sUrNNikXUi6NieionncqHiFfLFMqW1MKOPl0rXIJtpo/jkUkAnwRuGOybY0x9xtj2owxbYsXL6710EqFXoMLF0VHpltg6IPCSeUM9dA1oAdZNQH9GLCy4vYK+z5HE3AR8HMRaQeuALbqhVGlajfe3OXVSo8xqAgYnLPFyZ07/yc15RJo1Zy9Z4ALRGSNiCSAm4GtzoPGmG5jTIsxptUY0wo8BdxgjNlVlxYrNYtEIkIiNv1FLtJ9eVoax++hOx8UzkRd2kMPtkkDujGmCHwUeBw4AHzXGLNPRO4TkRvq3UClZruGGpahG2umRRi9UHROyxZDIVbNRsaYbcC2EffdPc62V9XeLKWUw5q7fOo99MF5XMbIoSdHjEAdKlvUlEuQ6dlTyufGWl2oGn25IvlSeVTJorXP4Tn0jF4UDQUN6Er5XCoWnVYOfbxRolBR5VIYXuWiZYvBpgFdKZ9LJaLTmg99vFGiUDGlwKiUiwb0INOArpTPjTV3eTXGGyUKlVUuTtmitf+kLkEXaHr2lPK56ebQx5tp0drn8Pr2bLFEIhYhEpEaWqq8VlWVi1LKOw3xKCdHpFzSfTleea1vwuftOdoNTJxDd+rPc4WyLhAdAhrQlfK5VDwyGHgdf/7Qc2w/mJ70uc2NicGa8+H7HD5HTCavy8+FgQZ0pXwuFY+OmpzrtZ4cV7xuER9/+9oJn7tiYcM4+3Sm5bVz6MXSmIFfBYsGdKV8bqwcek+mQNvqhVx5XvO09pmIRhCpHFhU0lGiIaBJM6V8buTc5QA92QLzGuLT3qeIkIpFh40U1VGiwadnUCmfc+YuL9tzl+eKJbKFMvNStX3Bbqiob88WSrpAdAhoQFfK50ZWpPRmiwA19dDBqm8fHFhULOtF0RDQgK6UzzWMGATUkykAMC9VY0CvyM1n8yUtWwwBPYNK+dzIQUA9gz302lIuyXhFykWrXEJBA7pSPpcaMe+Kez30yLAl6LTKJfg0oCvlcyPnLu/J2gG9xhx6Q0V9u1a5hIOeQaV8zkmFDOXQ7ZSLGzn0yh66XhQNPA3oSvmcc7HSmbu8d7CHXlsO3VoJySqHzBXLWrYYAhrQlfK5UTn0bIFYRGpejMIZWOQM/9eUS/DpGVTK58ZKucxriCNS21S31sIZpcHcvF4UDT4N6Er5XGqMi6K1jhJ19pstlAfz6Fq2GHwa0JXyOScVUlm22FTjBVFnv1YPXVMuYaFnUCmfS8ZH9tCLNV8QBSs3Xywb+nNW1YymXIJPA7pSPudc/HQuXvZkCjWXLFbu9+yAVTWjZYvBpwFdKZ+LR4WIDK0uZOXQ3Um5AJwZsBaTTmrKJfD0DCrlcyIybCItq8ql9pSLk8o5m9EeelhoQFcqABrsUZ35YplMoeRSD90K4N12D73WunblPQ3oSgVAyp4ZsdeleVxgKICf0Rx6aGhAVyoAknFrMQq3ps6FoRz60EVRDQdBp2dQqQBIxaLkCiXXps6FipRLJj94DBVsGtCVCgBn/U+3ps6FoQCuKZfw0ICuVACknJSLS1PnAjQkRpQt6hJ0gadnUKkAcGZGdGvqXBhaOKN7oEAyFiESqW2yL+U9DehKBYAzM+JgysXFHPrZTEHTLSGhAV2pAHBmRuzJFIlGhDkuzIzoVLWUykYrXEJCz6JSAeDMjNiTLdCUitU8F7q1z+iYP6vgqiqgi8g1IvKyiBwUkbvGePwTIrJfRF4QkZ+JyGr3m6rU7NVgD/13a2IugHg0QszOm2vJYjhMGtBFJAp8FbgWWAfcIiLrRmz2HNBmjLkYeAT4H243VKnZzFrQuUx3puDKBdHK/Vr/65f1MKjmLG4CDhpjXjXG5IGHgBsrNzDGPGGMGbBvPgWscLeZSs1uqXiEUtnQ1Z93rYfu7BfQBaJDopqAvhw4WnG7w75vPB8GfjzWAyJym4jsEpFdp0+frr6VSs1yTk/6VG/O1YDulC7qxFzh4Or3LBF5H9AGfH6sx40x9xtj2owxbYsXL3bz0EqFmhPQT/fmXE25OOuIasolHKp5ZxwDVlbcXmHfN4yIvAP4NPAWY0zOneYppWAooBfLpi4pF61yCYdqPpafAS4QkTUikgBuBrZWbiAilwL/C7jBGHPK/WYqNbtV9qDdmMdlcL92ykWrXMJh0h66MaYoIh8FHgeiwAPGmH0ich+wyxizFSvFMhd42K6PPWKMuWGqjSkUCnR0dJDNZqf6VDWBVCrFihUriMfdCwRqZlXmuOeltMpFja2qd4YxZhuwbXzZsm4AAAsMSURBVMR9d1f8/A43GtPR0UFTUxOtra2uDJxQYIwhnU7T0dHBmjVrvG6OmqbKlIirPfTBgK499DDw1cdyNpulublZg7mLRITm5mb91hNww1IumkNX4/BVQAc0mNeB/k6DLxnTHrqanO8CulJqtIZEZUB3M4ceGfa/CjY9i3WwZ88etm0buuSwdetWPve5z9X1mD//+c958skn63oM5Z1hOXQXUy4N2kMPFQ3odTAyoN9www3cddeoOc1cpQE93FIVqwk1aZWLGod77wyX3fvDfew/3uPqPtctm8c916+fcJv+/n7e+9730tHRQalU4rOf/Sznn38+n/jEJ+jr66OlpYUtW7awdOlSrrrqKi6//HKeeOIJzp49y9e//nUuv/xy7r77bjKZDL/61a/41Kc+RSaTYdeuXfzDP/wDH/jAB2hoaOC5557j1KlTPPDAA3zzm99kx44dXH755WzZsgWAn/zkJ9xzzz3kcjnOO+88vvGNbzB37lxaW1u59dZb+eEPf0ihUODhhx8mlUrxta99jWg0yre//W2+8pWv8OY3v9nV353ylpNyiQg0JuoQ0LUOPRT0Y3mExx57jGXLlvH888+zd+9errnmGj72sY/xyCOPsHv3bj70oQ/x6U9/enD7YrHIzp07+fKXv8y9995LIpHgvvvu46abbmLPnj3cdNNNo45x5swZduzYwZe+9CVuuOEGbr/9dvbt28eLL77Inj176Ozs5K/+6q/46U9/yrPPPktbWxtf/OIXB5/f0tLCs88+y5/8yZ/whS98gdbWVj7ykY9w++23s2fPHg3mIeQE3KZU3NWl4px1RDXlEg6+7aFP1pOulw0bNnDHHXdw55138q53vYuFCxeyd+9err76agBKpRJLly4d3P73fu/3ALjssstob2+v6hjXX389IsKGDRtYsmQJGzZsAGD9+vW0t7fT0dHB/v372bx5MwD5fJ4rr7xyzGM++uijNb9m5X+RiJCIRly9IAqVc7loQA8D3wZ0r6xdu5Znn32Wbdu28ZnPfIa3ve1trF+/nh07doy5fTKZBCAajVIsFqs6hvOcSCQy+LNzu1gsEo1Gufrqq3nwwQddO6YKvmQ84uoFUagY+q859FDQszjC8ePHmTNnDu973/v45Cc/ydNPP83p06cHA3qhUGDfvn0T7qOpqYne3t5pt+GKK65g+/btHDx4ELDy+q+88kpdj6n8ryEedT2gL2pMALBwTsLV/SpvaEAf4cUXX2TTpk1s3LiRe++9l/vuu49HHnmEO++8k0suuYSNGzdOWk3y1re+lf3797Nx40a+853vTLkNixcvZsuWLdxyyy1cfPHFXHnllbz00ksTPuf666/ne9/7Hhs3buSXv/zllI+p/C8Vj7pa4QLwlrWL+f6fbaa1pdHV/SpviDHGkwO3tbWZXbt2DbvvwIEDXHjhhZ60J+z0dxt8/7q7g6XzU7zp/Bavm6I8JCK7jTFtYz2mOXSlAuLdl+nKjmpimnJRSqmQ8F1A9yoFFGb6O1VqdvBVQE+lUqTTaQ1ALnLmQ0+lUl43RSlVZ77Koa9YsYKOjg5Onz7tdVNCxVmxSCkVbr4K6PF4XFfVUUqpafJVykUppdT0aUBXSqmQ0ICulFIh4dlIURE5DRyewlNagM46NcfPZuPrno2vGWbn656Nrxlqe92rjTGLx3rAs4A+VSKya7zhrmE2G1/3bHzNMDtf92x8zVC/160pF6WUCgkN6EopFRJBCuj3e90Aj8zG1z0bXzPMztc9G18z1Ol1ByaHrpRSamJB6qErpZSagAZ0pZQKiUAEdBG5RkReFpGDInKX1+2pBxFZKSJPiMh+EdknIh+3718kIv8uIv9h/7/Q67a6TUSiIvKciPzIvr1GRJ62z/d3RCR0C16KyAIReUREXhKRAyJy5Sw517fb7++9IvKgiKTCdr5F5AEROSUieyvuG/PciuXv7df+goi8sZZj+z6gi0gU+CpwLbAOuEVE1nnbqrooAncYY9YBVwB/Zr/Ou4CfGWMuAH5m3w6bjwMHKm7/LfAlY8z5wBngw560qr7+DnjMGPMG4BKs1x/qcy0iy4E/B9qMMRcBUeBmwne+twDXjLhvvHN7LXCB/e824J9qObDvAzqwCThojHnVGJMHHgJu9LhNrjPGnDDGPGv/3Iv1B74c67X+i73ZvwC/400L60NEVgDvBP7Zvi3A24BH7E3C+JrnA78FfB3AGJM3xpwl5OfaFgMaRCQGzAFOELLzbYz5BdA14u7xzu2NwDeN5SlggYgsne6xgxDQlwNHK2532PeFloi0ApcCTwNLjDEn7IdOAks8ala9fBn4b0DZvt0MnDXGFO3bYTzfa4DTwDfsVNM/i0gjIT/XxphjwBeAI1iBvBvYTfjPN4x/bl2Nb0EI6LOKiMwF/hX4L8aYnsrHjFVjGpo6UxF5F3DKGLPb67bMsBjwRuCfjDGXAv2MSK+E7VwD2HnjG7E+0JYBjYxOTYRePc9tEAL6MWBlxe0V9n2hIyJxrGD+f4wxj9p3v+Z8BbP/P+VV++pgM3CDiLRjpdLehpVbXmB/JYdwnu8OoMMY87R9+xGsAB/mcw3wDuCQMea0MaYAPIr1Hgj7+Ybxz62r8S0IAf0Z4AL7SngC6yLKVo/b5Do7d/x14IAx5osVD20FbrV/vhX4wUy3rV6MMZ8yxqwwxrRindf/Z4z5Q+AJ4PftzUL1mgGMMSeBoyLyevuutwP7CfG5th0BrhCROfb73XndoT7ftvHO7Vbg/Xa1yxVAd0VqZuqMMb7/B1wHvAL8Gvi01+2p02v8TayvYS8Ae+x/12HllH8G/AfwU2CR122t0+u/CviR/fPrgJ3AQeBhIOl1++rwejcCu+zz/X1g4Ww418C9wEvAXuBbQDJs5xt4EOsaQQHr29iHxzu3gGBV8f0aeBGrAmjax9ah/0opFRJBSLkopZSqggZ0pZQKCQ3oSikVEhrQlVIqJDSgK6VUSGhAV4Fmz1r4p/bPy0TkkcmeU8OxNorIdfXav1K10oCugm4B8KcAxpjjxpjfn2T7WmzEGhuglC9pHboKNBFxZt98GWvQxoXGmItE5ANYM9o1Yk1N+gUgAfxnIAdcZ4zpEpHzsAZ2LAYGgD8yxrwkIu8B7gFKWJNIvQNr4EsD1tDsvwF+BHwFuAiIA39hjPmBfezfBeZjTbT0bWPMvXX+VShFbPJNlPK1u4CLjDEb7Vkqf1Tx2EVYs1amsILxncaYS0XkS8D7sWZ6vB/4iDHmP0TkcuAfseaUuRv4bWPMMRFZYIzJi8jdWCP5PgogIn+NNV3Bh0RkAbBTRH5qH3uTffwB4BkR+TdjzK56/iKU0oCuwuwJY80t3ysi3cAP7ftfBC62Z7Z8E/CwNbUIYA1FB9gObBGR72JNIjWW/4Q1udh/tW+ngFX2z/9ujEkDiMijWFM7aEBXdaUBXYVZruLncsXtMtZ7P4I1F/fGkU80xnzE7rG/E9gtIpeNsX8B3m2MeXnYndbzRuYyNbep6k4viqqg6wWapvNEY803f8jOlzvrO15i/3yeMeZpY8zdWItRrBzjWI8DH7NnDkRELq147Gp7HckGrFz+9um0Uamp0ICuAs1Oa2y3F+T9/DR28YfAh0XkeWAfQ8sbfl5EXrT3+yTwPNY0r+tEZI+I3AT8JdbF0BdEZJ9927ETa277F4B/1fy5mgla5aKUy+wql8GLp0rNFO2hK6VUSGgPXSmlQkJ76EopFRIa0JVSKiQ0oCulVEhoQFdKqZDQgK6UUiHx/wENnvJlyGjpdAAAAABJRU5ErkJggg==\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": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f67e28cec90>"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"df.plot('timestep',['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": 29,
"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": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7f67bd846790>"
]
},
"execution_count": 30,
"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": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7f67be52f410>"
]
},
"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_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": 32,
"metadata": {},
"outputs": [],
"source": [
"nets = df.network.values"
]
},
{
"cell_type": "code",
"execution_count": 33,
"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 = 99\n",
"\n",
"snap_plot(nets[K:N], size_scale = 1/10,savefigs=True)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f67bf437a90>"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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jOhFpEEUlZeQVl+p6QZxQGIhIg9iWfxCAgT10W2k8UBiISIM4dltpT7UM4oHCQEQaRFb+AVq2MAZ0bRvrqkgdKAxEpEFk5R/gtG5tSdawknFBR0lEGkRW/kFdPI4jCgMRibqyoxV8ufegrhfEEYWBiETdjoJDlB11tQziiEY6E5FTsqPgEH/7fM9J5/k8rxjQbaXxRGEgIqfkgf/ewsvrd9U6X/vWLTlDp4nihsJARE7Jzn2HOTetC7+95pyTzte+dUvatdZXTLzQkRKRU7K7qJSx6V3p1TEl1lWRKNIFZBGpM3cnr7iEngqChKMwEJE6KzxURtlRp1fH1rGuikSZwkBE6mx3UQmAThElIIWBiNTZP8JALYNEozAQkTrLKyoFoGcHtQwSjcJAROqssmXQUy2DhKMwEJE6yy0qoWu7VrRumRTrqkiUKQxEpM52F5XSs4NaBYlIYSAidZZXXKI7iRKUwkBE6mx3UYnuJEpQCgMRqZOjFU5+calaBgmqTmFgZgvNLM/MNlYz7RYzczPrHnzuZGZ/NrN1ZrbJzK4Lm3e6mX0evKaHlY82sw1mttXMHjYzi8bOiUj07D1QSoWjrigSVF1bBouAyVULzaw/MBH4Kqx4FvCJu48ExgP/aWatzKwrcDcwFhgD3G1mXYJl5gPXA4OC1wnbEpHY2h08Y9BLF5ATUp3CwN3fAQqqmfQgcBvg4bMDHYJf9+2D5cqBScDr7l7g7oXA68BkM+sDdHT3D9zdgWeAyyPdIRFpGOqKIrFFfM3AzKYAOe6+rsqk3wJnATuBDcDN7l4B9AN2hM2XHZT1C95XLa9umzPNLNPMMvPz8yOtuohEIFdhkNAiCgMzawvcCcypZvIkYC3QFxgF/NbMOkZcwzDu/oS7Z7h7Ro8ePaKxShGpo7yiEloYdG/fKtZVkQYQactgIJAOrDOz7UAq8JGZ9QauA170kK3AF8AQIAfoH7aO1KAsJ3hftVxEmpDdRaV0b9+alkm6CTERRXRU3X2Du/d09zR3TyN0auccd88ldDH5mwBm1gsYDGwDVgATzaxLcOF4IrDC3XcBRWY2LrjOcC2wvL47JiLRtVsPnCW0ut5a+hzwPjDYzLLNbMZJZr8X+Ccz2wC8Adzu7nvcvSCYtjp4/SIoA7gReArYCmQBr0W0NyLSYHYXleqBswRWpzGQ3X1aLdPTwt7vJPSrv7r5FgILqynPBIbXpS4iEht5RSWcPaBzrKshDUQn/0SkVkfKK9h78Ai9NI5BwlIYiEit8oo1wlmiUxiISK2OPX2sC8gJS2EgIrXK0whnCU9hICK1UlcUiU9hICK12l1cSnKS0bWtnj5OVHW6tVREmpYj5RWs3bGP8oqKRtneJzuL6NkhhRYt1Lt8olIYiMSZDdn7uXXZOrbkFjfqdr9+erdG3Z40LoWBSAPYUXDoWC+f0fTmljyeeGcb3du34sGrRtKnU5uob6MmZ/Rs32jbksanMBCJsvKjFVzy0N84UFreIOu/KqM/d/7zWXRqk9wg65fmSWEgEmW5RSUcKC1n5gWnc8Gg6Ha13r1DK4b0jkqP8CLHURiIRNmOgsMAXHhmD847o3uMayNSN7q1VCTKdhQeAiC1S+OdzxepL4WBSJRlFxyihUHfzgoDiR8KA5Eo21F4mD6d2pCsEcEkjuhfq0iUZRce0ikiiTsKA5Eo21FwmNQubWNdDZFTojAQiaLS8qPsLi6hf1e1DCS+KAxEoiin8DDu0F8tA4kzCgORKNpRGHrGoH9XhYHEF4WBSBTtKAg9Y6DTRBJvFAYiUZRdeJjkJKOnBo6XOKMwEImiHYWH6Ne5DUnq91/ijMJAJIqyCw7peoHEpVrDwMwWmlmemW2sZtotZuZm1j2sbLyZrTWzTWb2dlj5ZDP71My2mtkdYeXpZvZhUL7EzDSunsStHYV6xkDiU11aBouAyVULzaw/MBH4KqysM/AY8B13HwZcEZQnAY8ClwBDgWlmNjRY7AHgQXc/AygEZkS6MyKxdLC0nIKDR/T0scSlWsPA3d8BCqqZ9CBwG+BhZdcAL7r7V8GyeUH5GGCru29z9yPAYmCKmRlwMbAsmO9p4PJIdkQk1rJ1W6nEsYiuGZjZFCDH3ddVmXQm0MXM3jKzNWZ2bVDeD9gRNl92UNYN2Ofu5VXKa9ruTDPLNLPM/Pz8SKou0mCO3VaqloHEoVMe3MbM2gJ3EjpFVN36RgPfBNoA75vZB/WqYRh3fwJ4AiAjI8NrmV2kUVWOY6CWgcSjSEY6GwikA+tCZ3lIBT4yszGEftnvdfeDwEEzewcYGZT3D1tHKpAD7AU6m1nLoHVQWS4Sd3YUHKZNchLd2ukeCIk/p3yayN03uHtPd09z9zRCX/TnuHsusBw438xaBi2IscBmYDUwKLhzqBVwNfCSuzuwEpgarH56sA6RuLMj6Lo6+JEkElfqcmvpc8D7wGAzyzazGu/2cffNwH8D64FVwFPuvjH41X8TsIJQOCx1903BYrcD/2ZmWwldQ1hQnx0SiZUdesZA4litp4ncfVot09OqfJ4LzK1mvleBV6sp30bobiORRldSdpSNOfupiMIVqOzCw4xN71r/FYnEQCTXDEQSxm/++jmPv50VtfUN7Nk+ausSaUwKA2m23J1XNuxkTFpXbv7WoHqvL6mFcc6ALlGomUjjUxhIs7VpZxE7Cg4za/wZnHdG99oXEElg6qhOmq0Vm3JpYTBhaK9YV0Uk5hQG0my9tjGXMeld6da+dayrIhJzCgNplrbmFbM17wCXDO8T66qINAkKA2mWVmzaDcCkYb1jXBORpkFhIM3Saxt3cfaAzvTupOEpRUBhIM3QjoJDbMwpYrJaBSLH6NZSaTAVFc6LH+ewYlMuoW6omobdRaUATB6uMBCppDCQBvHBtr3c98onbMwpYkDXtnRIaVr/1KaN6c9p3drFuhoiTUbT+j9U4tZTf9vGvL98euxzSVkFfTul8NDVo/j2iL60aKGePEWaMoWBREXm9kLatWrJ1NGpAPTulMK0MQNISU6Kcc1EpC4UBhIVRSVlpHdvx88uPSvWVRGRCOhuIomK/YfL6NQmOdbVEJEIKQwkKhQGIvFNYSBRUXS4jI4KA5G4pTCQequocIpLyxUGInFMYSD1VlxSjjs6TSQSxxQGUm/7D5cB0LGJPVgmInWnMJB6KyoJhYFaBiLxS2Eg9VbZMlAYiMQvhYHU27HTRAoDkbhVpzAws4VmlmdmG6uZdouZuZl1r1J+rpmVm9nUsLLpZvZ58JoeVj7azDaY2VYze9jM1JFNHClSy0Ak7tW1ZbAImFy10Mz6AxOBr6qUJwEPAH8JK+sK3A2MBcYAd5tZl2DyfOB6YFDwOmFb0nTpNJFI/KtTGLj7O0BBNZMeBG4DqnZW/xPgBSAvrGwS8Lq7F7h7IfA6MNnM+gAd3f0DD3V6/wxw+anthsTS/sNltGxhtG2lTulE4lXE1wzMbAqQ4+7rqpT3A75L6Nd+uH7AjrDP2UFZv+B91fLqtjnTzDLNLDM/Pz/SqkuU7Q+ePtbZPZH4FVEYmFlb4E5gTjWTfwPc7u4V9alYddz9CXfPcPeMHj16RHv1EqGiknKdIhKJc5E+JTQQSAfWBb8GU4GPzGwMkAEsDsq7A5eaWTmQA4wPW0cq8FZQnlqlPCfCekkM7Fe/RCJxL6IwcPcNQM/Kz2a2Hchw9z2EQqKyfBHwsrv/V3AB+T/CLhpPBH7m7gVmVmRm44APgWuBRyKpl8TG/sNlevpYJM7V9dbS54D3gcFmlm1mM051Q+5eANwLrA5evwjKAG4EngK2AlnAa6e6fomdInVfLRL36vRzzt2n1TI9rYbyH1b5vBBYWM18mcDwutRFmh6FgUj80xPIUi/urmsGIglAYSD1cujIUcorXC0DkTinMJB6UY+lIolBYSD1oq4oRBKDwkDqZf+hyoFtFAYi8UxhIPWiloFIYlAYSL0UlZQDCgOReKcwkHr5x8A2egJZJJ4pDKReKsOgg64ZiMQ1hYHUS9HhMjqktCSphbqvFolnCgOpl6LDZbqTSCQBKAykXvarXyKRhKAwkHpRGIgkBoWB1EtRSZnuJBJJAAoDqRe1DEQSg8JA6kVhIJIYFAYSsdLyo5SUVSgMRBKAwkAiVnQ41BWFBrYRiX8KA4mYOqkTSRwKA4nYP/olUhiIxDuFgUSscpQzPYEsEv8UBhKxIp0mEkkYCgOJmK4ZiCQOhYFErEhjGYgkjFrDwMwWmlmemW2sZtotZuZm1j34/C9mtt7MNpjZe2Y2MmzeyWb2qZltNbM7wsrTzezDoHyJmbWK1s5Jw9p/uIyU5Ba0bpkU66qISD3VpWWwCJhctdDM+gMTga/Cir8ALnT3rwH3Ak8E8yYBjwKXAEOBaWY2NFjmAeBBdz8DKARmRLQn0uj09LFI4qi1fe/u75hZWjWTHgRuA5aHzfte2PQPgNTg/Rhgq7tvAzCzxcAUM9sMXAxcE8z3NHAPMP9UdkLgaIXz+/e389yqHZRVVDTKNvOKSunTKaVRtiUiDSuik71mNgXIcfd1ZjWOcDUDeC143w/YETYtGxgLdAP2uXt5WHm/k2x3JjATYMCAAZFUPSF9mlvMHS+u5+Ov9nHOgM707dy+UbY7tA9cNLhno2xLRBrWKYeBmbUF7iR0iqimeS4iFAbnR161E7n7EwSnnjIyMjya626KnvrbNha++0Wt8+UVl9KxTTIPXjWSy0f14yQBLSJSrUhaBgOBdKCyVZAKfGRmY9w918xGAE8Bl7j73mCZHKB/2DpSg7K9QGczaxm0DirLBfjzup2YGf80sNtJ5+vavhX/esFAurbTtXcRicwph4G7bwCOnRsws+1AhrvvMbMBwIvAD9z9s7DFVgODzCyd0Jf91cA17u5mthKYCiwGphN2DaI5O1rhfLq7mGvGnMacbw+tfQERkXqoy62lzwHvA4PNLNvMTna3zxxC1wEeM7O1ZpYJEPzqvwlYAWwGlrr7pmCZ24F/M7OtwbILIt6bBPJVwSFKyioY0qdDrKsiIs1AXe4mmlbL9LSw9z8GflzDfK8Cr1ZTvo3Q3UYSZsuuIgDO6t0xxjURkeZATyA3UZtzi2lhMKhX49wZJCLNm8Kgifo0t4i07u1ISdbTvSLS8BQGTdSW3GKG9Nb1AhFpHAqDJuhgaTlfFRxiiK4XiEgjURg0QZ/tLsYdBqtlICKNRGHQBH2aWwzoTiIRaTwKgyZoS24xbVslkdqlTayrIiLNhMKgCdqSW8Tg3h1o0UJ9DIlI41AYNDHurjuJRKTRKQyamLziUvYdKtOdRCLSqBQGTczmoBsK3UkkIo1JYdDEVN5JpNNEItKYIhrpTKC4pIzf/PVzSsqORnW9q74ooHfHFDq31dgEItJ4FAYRWrJ6Bwve/YJu7VoR7YHFvnt2jSN/iog0CIVBBNydZWuyGdm/M8tnnRfr6oiI1JuuGURg084ituQWM3V0aqyrIiISFQqDCCxbk02rpBZ8e0SfWFdFRCQqFAan6Eh5BcvX5jBhaC9d5BWRhKEwOEUrP82j8FCZThGJSEJRGJyiZWuy6dGhNd8Y1D3WVRERiRrdTVSL/OJS3vksn6PuHK1wVm7JY8b56bRMUo6KSOJQGNRgz4FSfvd2Fr//4EtKyiqOlSe1MK7I0CkiEUkszS4M/v1PG1j1RUGt82UXHqa0/CiXn92PH52XTue2yQC0a9WSLu104VhEEkudwsDMFgKXAXnuPrzKtFuAeUAPd99jZgY8BFwKHAJ+6O4fBfNOB/5vsOh97v50UD4aWAS0AV4FbnZ3r+e+Vatv5zYM6tW+1vnGnd6N685L4/Qetc8rIhLv6toyWAT8FngmvNDM+gMTga/Cii8BBgWvscB8YKyZdQXuBjIAB9aY2UvuXhjMcz3wIaEwmAy8Ftkundysi85oiNWKiMS1Ol0Fdfd3gOrOrTwI3Eboy73SFOAZD/kA6GxmfYBJwOvuXhAEwOvA5GBaR3f/IGgNPANcHvkuiYjIqYr4lhgzmwLkuPu6KpP6ATvCPmcHZScrz66mvLptzjSzTDPLzM/Pj7TqIiJSRURhYGZtgTuBOdGtzsm5+xPunuHuGT169GjMTYuIJLRIWwYDgXRgnU18moQAAAauSURBVJltB1KBj8ysN5AD9A+bNzUoO1l5ajXlIiLSSCIKA3ff4O493T3N3dMIndo5x91zgZeAay1kHLDf3XcBK4CJZtbFzLoQuvC8IphWZGbjgjuRrgWWR2HfRESkjuoUBmb2HPA+MNjMss1sxklmfxXYBmwFngRuBHD3AuBeYHXw+kVQRjDPU8EyWTTQnUQiIlI9a6Db+RtcRkaGZ2ZmxroaIiJxxczWuHtG1XJ1sCMiIvHbMjCzfODLU1ikO7CngarTVDXHfYbmud/NcZ+hee53fff5NHc/4XbMuA2DU2VmmdU1jRJZc9xnaJ773Rz3GZrnfjfUPus0kYiIKAxERKR5hcETsa5ADDTHfYbmud/NcZ+hee53g+xzs7lmICIiNWtOLQMREamBwkBERBI/DMxsspl9amZbzeyOWNenoZhZfzNbaWafmNkmM7s5KO9qZq+b2efBf7vEuq7RZmZJZvaxmb0cfE43sw+DY77EzBJunFIz62xmy8xsi5ltNrOvJ/qxNrOfBv+2N5rZc2aWkojH2swWmlmemW0MK6v22AZ9wD0c7P96Mzsn0u0mdBiYWRLwKKHR14YC08xsaGxr1WDKgVvcfSgwDpgV7OsdwBvuPgh4I/icaG4GNod9fgB40N3PAAqBk/WlFa8eAv7b3YcAIwntf8IeazPrB8wGMoKhd5OAq0nMY72I0GiP4Wo6tuEjS84kNGpkRBI6DIAxwFZ33+buR4DFhEZiSzjuvqtyrGl3Lyb05dCP0P4+Hcz2NAk2ipyZpQL/TKijQ4Keby8GlgWzJOI+dwIuABYAuPsRd99Hgh9rQsP0tjGzlkBbYBcJeKxrGFmypmNb08iSpyzRw6Cm0dUSmpmlAWcTGlO6V9BNOEAu0CtG1WoovyE09GpF8LkbsM/dy4PPiXjM04F84P8Hp8eeMrN2JPCxdvccYB6h8dZ3AfuBNST+sa5U07GN2ndcoodBs2Nm7YEXgP/t7kXh04IxphPmXmIzuwzIc/c1sa5LI2sJnAPMd/ezgYNUOSWUgMe6C6FfwelAX6AdJ55KaRYa6tgmehjUNLpaQjKzZEJB8Ky7vxgU765sNgb/zYtV/RrAecB3gtH2FhM6ZfAQoaZyy2CeRDzm2UC2u38YfF5GKBwS+Vh/C/jC3fPdvQx4kdDxT/RjXammYxu177hED4PVwKDgjoNWhC44vRTjOjWI4Fz5AmCzu/+/sEkvAdOD99NJoFHk3P1n7p4ajLZ3NfCmu/8LsBKYGsyWUPsMEIwouMPMBgdF3wQ+IYGPNaHTQ+PMrG3wb71ynxP6WIep6djWNLLkqXP3hH4BlwKfERpB7d9jXZ8G3M/zCTUd1wNrg9elhM6hvwF8DvwV6BrrujbQ/o8HXg7enw6sIjRy3vNA61jXrwH2dxSQGRzv/wK6JPqxBn4ObAE2Ar8HWifisQaeI3RdpIxQK3BGTccWMEJ3TGYBGwjdbRXRdtUdhYiIJPxpIhERqQOFgYiIKAxERERhICIiKAxERASFgTRjQc+fNwbv+5rZstqWqce2RpnZpQ21fpH6UhhIc9YZuBHA3Xe6+9Ra5q+PUYSe+xBpkvScgTRbZlbZi+2nhB7mOcvdh5vZDwn1CtmOUNfA84BWwA+AUuBSdy8ws4GEHvjpARwCrnf3LWZ2BXA3cJRQh2rfIvRQVBtCXQX8EngZeAQYDiQD97j78mDb3wU6Eepw7A/u/vMG/lOI0LL2WUQS1h3AcHcfFfT0+nLYtOGEen5NIfRFfru7n21mDwLXEuot9QngBnf/3MzGAo8R6h9pDjDJ3XPMrLO7HzGzOYSeDr0JwMz+g1D3GT8ys87AKjP7a7DtMcH2DwGrzewVd89syD+EiMJApHorPTQuRLGZ7Qf+HJRvAEYEvcP+E/B8qKscINQ9AsDfgUVmtpRQh2rVmUiok73/E3xOAQYE7193970AZvYioa5GFAbSoBQGItUrDXtfEfa5gtD/Ny0I9aU/quqC7n5D0FL4Z2CNmY2uZv0GfN/dPz2uMLRc1XO3OpcrDU4XkKU5KwY6RLKgh8aK+CK4PlA5Fu3I4P1Ad//Q3ecQGoSmfzXbWgH8JOiBEzM7O2zahGDM2zaErl38PZI6ipwKhYE0W8GpmL8HA4/PjWAV/wLMMLN1wCb+MaTqXDPbEKz3PWAdoa6Wh5rZWjO7CriX0IXj9Wa2KfhcaRWhcSnWAy/oeoE0Bt1NJNKEBHcTHbvQLNJY1DIQERG1DERERC0DERFBYSAiIigMREQEhYGIiKAwEBER4H8AIQANEaDvHSsAAAAASUVORK5CYII=\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": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f679e22fa10>"
]
},
"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',['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": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f679fbd0e50>"
]
},
"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.total_supply.plot(title='Total Supply')"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f67beec8550>"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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9OsKjmvoVlS5W7DqEqrZCr4wx7UGjQV9ELgeyVTXjhF13AJeqahKwAHjEGx1S1bmqmqKqKQkJgVEH39u6ezDSV1Xue30tVz/5Fd/tL2ylnhlj2ponI/2zgCtEZAewBLhARN4BTlPVb51jXgbOdLazgD4AIhKCO/VzsHq7I8lpM16W2CWCotIKjpTW/1Tuo8s282rGHgD2W/7fmIDRaNBX1ftUNUlVk3HfiP0Yd36+q4gMcQ67iOM3eZcCU53ta4CP1Z0/WApMdmb39AcGA8u9diXmmMbm6r/47S4e/ziTswfFA5BfXNZqfTPGtK1mzdN3cvW3AK+JyGrcOf1fOLvnAXEikgncCdzrvGc98AqwAXgPmKOqlS3rvqlLQ3P1P9p4gPvfXMt5QxN4bPJIAPKOlLdq/4wxbadJK2ep6qfAp872G8AbdRxTAlxbz/sfAh5qaidN0xxfNrFm0F+56xBzXlzBKb268s8fjqZTaDBBYiN9YwKJXy6XGOi6d6lddG177hFmLkqne3QE86elEhnu/qeP6RxG3hEL+sYECivD4Ieiw0PoFBp8bK3c3KJSps533z5ZNGNsjaUku3UOJb/Y0jvGBAoL+n5IROjeJZwDh0s5UlrBjIVpZBeWMG9qCv3jI2scGxtpI31jAokFfT+VGB1BVv5R5ry4gnVZBfzzh6MZ1Tem1nHdOodxyHL6xgQMC/p+qnuXcDJ2HuLTTTk8dNWpjD85sc7jYttB0H/2821M+scXuFz2ZLAxvmY3cv1U1WIqt48fzJSxfes9rltkKIeKy1FV3CWSWtdbq7L4/TvuRzyKyiroEhHa6n0wJpBY0PdTN57ej4EJUUwZ26fB42I7h1FW4aK4rPLYjJ7W8tXWXO5+dTWdw4IpLqukqMSCvjG+ZukdP9U/PpIfjuvb6Og9pnMYQKuneDYfKOTW5zJIjovk/suGAVDUQNkIY4x3WNAPcDGRTtBvxadyDxwuYdr85USEBrNgeiq9urlTUYUlFvSN8TUL+gEuprM7ndJaI/3CknKmLUij4Gg5C6alkhTTmegId1rJRvrG+J7l9APcsZF+KwT98koXt72wgs0HCpk/LZXhvbsCEBXu/sFTZCN9Y3zORvoB7lhO38cPaKkqv3p9LZ9vyeXhq07l3CHH10qIOjbStyeDjfE1C/oBrmunUEQgz8elGB77cAuvZuzhZ+MHc11qzRlFUc6sIcvpG+N7FvQDXHCQ0LVTqE8rbb6Stpu/f7SFa8ckcceFg2vtrwr6ltM3xvcs6BtifVhp89NN2dz3xlq+NzieP1x9ap1TSIODhM5hwZbTN6YVWNA3Pqu0uS6rgDkvrGBoYjRP3TiG0OD6v92iwkNspG9MK7Cgb3xSaXN3XjHTF6bRrXMYC6anHkvh1CcqIoRCC/rG+JxN2TR06xzGhr2HW3SO3XnF7M4rpme3TnQOC2baguWUllfy4qxxx+oANSQ6PMTSO8a0Agv6xj3Sb8GN3NW785k89xuOlh9f8jgsOIjFM8cyODHao3NERVh6x5jWYEHf0K1zKCXlLo6WVdIpLLhJ79158AgzFqYRHx3Gg5OGc7CojP2HSxjbP5bU5FiPzxMVHkJuYXFTu26MaSIL+obYakXXOoV18vh9eUfKmLYgjUpVFk4fy8CEqGb3ISo81Eb6xrQCj2/kikiwiKwUkbed1yIiD4nIZhHZKCI/q9b+uIhkisgaERld7RxTRWSL8zXV+5djmqNbMyptHi2rZNaiNPbmH2Xe1JQWBXyA6IgQCkvsiVxjfK0pI/3bgY1AF+f1NKAPcJKqukSku9N+CTDY+RoHPAWME5FY4AEgBVAgQ0SWquqhFl+FaZHYJlbarHQpty9Zycrd+Tx1w2jG9PM8jVOfqimbbbWYizGBwqORvogkAZcBz1Zr/jHwO1V1AahqttM+CVisbt8A3USkJ3AxsExV85xAvwyY6KXrMC3QlEqbqspvlq7ngw0HeODyYUwc3tMrfYiKCMGl1LgZbIzxPk/TO48B9wCuam0DgetFJF1E/isiVc/X9wZ2Vztuj9NWX3sNIjLbOWd6Tk6Oh90zLdGUSpvPfLaN577ZyexzBjDtrP5e68OxUgw2bdMYn2o06IvI5UC2qmacsCscKFHVFOBfwHxvdEhV56pqiqqmJCQkNP4G02LdOjkj/UbSO2+tyuKP//2Oy0f05N6JJ3m1D1U19e0BLWN8y5OR/lnAFSKyA1gCXCAiz+Meqb/uHPMGMMLZzsKd66+S5LTV127aWEhwEF0iQhoc6X+V6V7Pdlz/WP523WkEBXk3724jfWNaR6NBX1XvU9UkVU0GJgMfq+qNwJvA+c5h5wKbne2lwM3OLJ7TgQJV3Qe8D0wQkRgRiQEmOG2mHYiJDKs36G/cd5hbn8ugf3wkc29OITykaXP5PWGVNo1pHS2Zp/9H4AURuQMoAmY57e8ClwKZQDEwHUBV80TkQSDNOe53qprXgs83XhRTT6XNvflHmb4gjc7hwSyYPpauTirI26oWUrGa+sb4VpOCvqp+CnzqbOfjntFz4jEKzKnn/fPxUu7feFdM51Byi2oG/YKj5UxbsJyi0gpeufUMenfz/MGtpoquWjLRRvrG+JRV2TSAO71TfaRfWlHJrc+lsz33CM/cNIZhvbo08O6WO7Zkoj2gZYxPWRkGA7jTO1WrZ7lcyi9eXcM32/J47PqRnDUo3uefHxnuvk9gI31jfMuCvgHcT+UeKauktKKSv32wmaWr93LPxKFcOarWoxQ+ER4STFhIkE3ZNMbHLL1jAHelTYBHl21h7mfbuOn0fvz43IGt2gerqW+M71nQN8DxSptP/28rE4Yl8psrTmn1GjhWU98Y37Ogb4DjpRhG9+3G41NGEezlh688EWUjfWN8znL6BoBRfbvxy4knMTm1DxGh3n/4yhNR4bZOrjG+ZkHfAO4bqT8+r3Vz+CeKjghhb35Jm/bBGH9n6R3TblTV1DfG+I4FfdNuREWEcMSCvjE+ZUHftBtR4aGW0zfGxyzom3YjOiKEsgoXpRW2epYxvmJB37QbVeWVj5Ra0DfGVyzom3bDFlIxxvcs6Jt241hN/VKrtGmMr1jQN+1GtI30jfE5C/qm3ThWU99m8BjjMxb0Tbth6+Qa43sW9E27YevkGuN7FvRNu2Hr5Brjexb0TbsRERpEcJDYjdx2qKC4nIpKV1t3w3iBx0FfRIJFZKWIvH1C++MiUlTtdbiIvCwimSLyrYgkV9t3n9O+SUQu9sYFGP8hIlZ0rR3atL+Qs//0MY99uMVnn/Hppmwm/fNL3l+/32efYdyaMtK/HdhYvUFEUoCYE46bCRxS1UHAo8CfnGOHAZOBU4CJwJMi0jaF2027FRUeYjn9diS7sIQZC9MoLK3gy625PvmM7/YfZs4LK9iwt4Bbn8vgthcyyC60Etu+4lHQF5Ek4DLg2WptwcBfgHtOOHwSsMjZ/jcwXtzr7k0ClqhqqapuBzKBsS3rvvE30REhFNnDWe1CSXklsxdnkHekjPOHJrAuq4CScu+WyMgpLGXmwnQiw0P4+K7z+MXFQ/lwYzYTHv2MnMJSr36WcfN0pP8Y7uBePan3E2Cpqu474djewG4AVa0ACoC46u2OPU5bDSIyW0TSRSQ9JyfHw+4Zf9HU9M7BolJ++tJKNh8o9GGvAo/Lpdz16mpW78nnsckj+eG4fpRXKuuyCrz2GSXlldz6XDoHj5Ty7NQU+sR2Zs75g3jmxjHkF5ezYd9hr32WOa7RoC8ilwPZqppRra0XcC3whLc7pKpzVTVFVVMSEhK8fXrTzkVFeL5Obkl5JbMWp/Of1Xv5bLMNELzpkWWbeWfNPu6deBIXn9KD0X27AZCx85BXzq+q/PK1NazYlc+j141kRFK3Y/v6xXUGIO+IjfR9wZPlEs8CrhCRS4EIoAuwHigFMt2ZGzqLSKaTx88C+gB7RCQE6AocrNZeJclpM+aYqPAQduUVN3pcpUv5+ZJVrNqdjwjkFFmA8JbXMvbwj08ymZzah9nnDAAgLiqc/vGRXgv6T3ycyVur9vKLi4dyyak9a+yLiwwH4GBRmVc+y9TU6EhfVe9T1SRVTcZ9I/ZjVY1R1R6qmuy0FzsBH2ApMNXZvsY5Xp32yc7snv7AYGC5l6/HdHDRHo70//DuRt5bv5/7LxtGjy4R5BZagGiOfQVHmbkwjQff3sD/Nufw2eYc7n19DWcOjOPBK4fjDOoAGN03hoydh3D/d67J5VJ+s3Q9D/93Y619J/rP6r08smwzV4/qzW11rMvcpVMIIUHCwSP2b+oLvlgYfR7wnIhkAnm4f1CgqutF5BVgA1ABzFFVK5xuavAkp7/gy+3M+2I7085MZubZ/XlzZRa5NtJvsiOlFcxYmM62nCI+z8xl3hfbARiQEMlTN4whNLjmmHBMvxheW7GHnQeLSY6PrLHvkWWbWfjVDkKChFvPGUhsZFidn7lqdz53v7qalH4xPPyDU2v8UKkiIsRGhpFnI32faFLQV9VPgU/raI+qtl2CO99f1/sfAh5qUg9NQIkKD6W4rJJKlxIcVDsgvLduP797ewMThiXy68uHAZAQHc6BwzbFrykqXcrPnBvg86elMjY5lm+3H2TFzkNcm9KHrp1Da71nTD/37OyMnYdqBP3XV7jTQWcPiueLzFzeWbuPm07vV+v9WflHmbUone5dwnnmpjGEh9Q/Yzs2MsxG+j5iT+SadqWq/k7B0drTNlfsOsTtS1Yysk83/j551LEfCvFRYTbSb6KH3tnIR99l85srTuHcIQl0CgvmvKHduXPCUPrEdq7zPYO7RxEdEULGruN5/bQdedz72lrOGBDH/GmpDEmM4q2VtW/VFZVWMHNhGqXllcyfmkpcVHiD/YuLCrMbuT5iQd+0KyP7dAXgHx9n1mjfkXuEWYvS6dE1gmdvTqFT2PFRYnxUOAeLynC5aueaTW3PfbOT+V9uZ8ZZ/esckdcnKEgY3TeGFc7N3J0HjzB7cTq9Yzrx1I2jCQsJYtLI3qTvPMTuajfjK13K7c5vFf+4YTSDE6Mb/azYyHDybKTvExb0Tbsypl8sU8/ox/wvt/NVpvsJ0LwjZUxbsBxVZeH0sbVGifFR4VS4tM7fDkxNn27K5jdL1zP+pO7832UnN/n9Y/rFsOlAIXsOFTNjYRoKzJ+WSrfO7hz+pJG9AHhr1fHR/sPv1vytwhNxkWE2e8dHLOibdufeS05mQHwkd7+6muzCEmYtSmNfQQnPTk2l/wk3EAHio90/BCzF07Dv9h/mJy+uZGhiNI9PGVXnPZPGjOkXgypc/8w37Mor5ukbx9T4N0mK6czY5FjeWJmFqvLS8l08+8V2pp7Rj5vPSPb4c+IiwygsraC0wuZ6eJsFfdPudAoL5m/Xncb+wyVc9MhnrNydz2PXjzx2I/FE8VHuUabN1a9fdmGJU+4gmHnTUogMb97EvdP6dCNI3Ddl/3DVqZw+IK7WMVeO6s3WnCP86/Nt/PrNdZw7JOHYTXdPxTr/poeO2G9v3mZB37RLo/rGMOf8QRQcLef+y4bVeoCnugQn3WO1Wup2tKySWxalk3ekjHlTU+nZtVOzzxUVHsL1qX34xcVDuTalT53HXHpqD0KDhT+8+x0DEiJ54oejCAluWqiJc6Z8HrSbuV7ni3n6xnjFnRcN4cpRvRmYENXgcfFRVemdjpMDPlhUypwXV3DDuH58/7RePvscl0u585VVrMkq4JkbxzC8d9cWn/Phq0c0uL9b5zAuGd6Tr7bmMm9qKl0iak//bEys81Su3cz1Pgv6pt0SkUYDPkDXTqGEBkuHyemXlFdyy+J0VuzKZ9fBYi4+pQdhIb75pfvP72/iv+v2c/9lJzPhlB4++Yy6/OXaEVS6lM5hzQsxVQ932c1c77P0junwgoKEuMhwcjtAeqeqeuXK3fncdHo/9haU8OYq75eg2nKgkJ8vWcnT/9vKDeP6MvPs/l7/jIaEhwQ3O+DD8fs09oCW99lI3/iF+OiO8YDWXz7YxDtr9vGrS0/ilu8NIGPnIZ7+31Z+MDqJ4CChsKScG+ct54wBcdx7yUlNPv/uvGJ+/84G3l9/gE6hwdx6zgDuvnhoneUO2rMuEaEEB4k9oOUDNtI3fgWTUioAABcLSURBVCE+Krzd5/SXLN/FU59uZcrYvtzyvQGICLedP5BtOUf4YP1+yitd3PbCClbvzuetVVl1FjZrSH5xGVPnL+fLzIP8bPxgvrz3Au679ORaNXQ6gqAgIaZzmOX0fcBG+sYvxEeFs2l/+11I5fMtOfzfm+s4Z0gCD0465djI+5LhPekfv5knP93K55m5fL4ll7MGxfFl5kG25R7x6J4GQFmFi1ufy2DPoaO8cMs4UpNjfXk5rcIe0PKNjjcEMKYOVaUYmjo6bg2b9hdy2/MrGNw9in+eMH0xOEj40bkDWJtVwIvf7uK28wby8FXu2TFfbPFsTVpV5b7X1/Lt9jz+cu0Ivwj4YEXXfMWCvvEL8VFhlFW6OHy0fS2qXrWweKewYOZPSyW6jumLV41KYkhiFFeP6s3dE4bSN64zfWI78UWmZ0H/n59k8tqKPdxx4RAmjay1AmmH5S66ZkHf2yy9Y/xCglOKIaeopM6ywC2xctchvt2ex4/Orb3gR0OKyyqYtSidQ8VlvHLrGfTqVvdDUWEhQbx3+zkEVSuLcPagBN5evZeKSleDDzb9Z/Ve/vrBZq4a1ZufjR9U73EdkTu9Yzdyvc1G+sYvHH8q17sjw8zsQqbOX84f//tdk2r2V7qU25esYl1WAU9MGdXoQ1FBJ9TBOXtQPIWlFazeU/9C5Bk787jr1dWM7R/LH+tZkKQji40M53BJBeWVrrbuil+xoG/8gi+KruUUljJtQRplTtBJ3+H5+rAPvbORZRsO8P8uH8b4kxOb/NlnDoxDpP68/q6DxdyyOIPe3TrxzI0NL0jSUR2vv2MpHm+yoG/8wvFSDN4J+kfLKpm1OJ3colKenzmOiNAg0nbkefTeRV/tYP6X25l+VjLTzmreQ1ExkWEM79WVL+vI6xcUlzNt4XJcqsyflkpMPUsTdnRV9Xfa+1TcjsaCvvEL3Tq5H+bxRtCvdCk/f3kla/bk8/fJo0hJjmVUnxjSdzYe9D/ccIDf/mc9F56cyP2XNa2y5InOHhzPil2HaqwZXFbh4kfPZ7A7r5hnTihr7G+qgr7dzPUuC/rGL7hLMYSR64Wc/h/e3cj76w9w/2XDuNipV5OaHMOGvYcbXLR97Z4CfvrSSob37srjU0Y2q159dWcPiqfCpSzffhBwT8381Rtr+XrbQf58zQjG1VHW2J/ERVmlTV+w2TvGb7ifym1ZgFj45XbmfbGdaWcm16hXk9o/FtfH7pk83xtce/WnrPyjzFiURmxkGM9OTWlR3ZkqY/rFEB4SxOMfZfLu2v3szT/KV1sPcvv4wVw1KqnF52/vrNKmb3g80heRYBFZKSJvO69fEJFNIrJOROaLSKjTLiLyuIhkisgaERld7RxTRWSL8zXV+5djAll8dMuC/rINB/jd2xu4aFhirUU/RvWNIUggrY6buYdLypmxII2SskoWTE+le3REs/tQXURoMN8/rRebDxTyZWYueUfKuPXcAfz8wsFeOX97161TKEFiQd/bmjIcuR3YCHRxXr8A3OhsvwjMAp4CLgEGO1/jnLZxIhILPACkAApkiMhSVfV8SoQxDUiICmdrdlGz3rtmTz4/e2klp/buyt8n107NRIWHMKxXF9K218zrl1e6mPPCCrbmFLFoxliGeLDod1P89drT+Ou1p3n1nB1FUJAQGxlW743co2WVdArzv1lLvubRSF9EkoDLgGer2lT1XXUAy4Gq3zcnAYudXd8A3USkJ3AxsExV85xAvwyY6MVrMQEuPjqMnKLSJpdi2J1XzIyF6cRFhfHs1NR6UzMp/WJZufvQsXnjqsqv31zH51ty+cPVp3LWoPgWX4OpKTYyrM5Kmyt2HWL0g8t4Y+WeNuhVx+Zpeucx4B6g1lMSTlrnJuA9p6k3sLvaIXuctvraTzzfbBFJF5H0nJwcD7tnjHukX1bh4nCJ56UYCo6WM31hGmUVlSycnnrsyd66pCbHUlLuYv3ewwA89b+tLEnbzU8vGMR19SwdaFrGHfRrjvSz8o8ye3EGR8sr2XmwuI161nE1GvRF5HIgW1Uz6jnkSeAzVf3cGx1S1bmqmqKqKQkJtW+YGVOfps7VL6tw8aPnMth58AjP3JTCoO4Np2ZSkt0Ls6fvyGPp6r38+b1NTBrZizsvGtKyjpt6xUWG1yi6VlRawcyFaZSWVxIWHERhE37AGzdPRvpnAVeIyA5gCXCBiDwPICIPAAnAndWOzwKqD3uSnLb62o3ximNB34MVtFSVe19bw9fbDvKnH4zgjIGNT39M7BJB39jOvJK+m7tfXc3Y5Fj+fM0Ivyt/0J5UH+lXupSfL1nF5gOF/OOG0cREhlJYUt7GPex4Gg36qnqfqiapajIwGfhYVW8UkVm48/RTVLV62mcpcLMzi+d0oEBV9wHvAxNEJEZEYoAJTpsxXhEf7fkTnI9+uIXXV2Zx50VDuHq059MfU5Jj2HygiKSYTsy92T/LH7QncVFh5BeXU17p4k/vfceHGw/wwPdP4dwhCURHhNpIvxlaMpn4aWAn8LUz0nldVX8HvAtcCmQCxcB0AFXNE5EHgTTn/b9TVc+eazfGA/HHiq41XBjt1fTdPP7RFq4dk8RPL2haZcpLh/dkzZ4C5k1NoVtn/yx/0J5UPZU797NtzP1sGzed3o+pZyYDEB0RYkG/GZoU9FX1U+BTZ7vO9zqzeebUs28+ML9JPTTGQ7Gdw+jVNYKPvsuut+bNF1tyue/1tZw9KJ4/XN30ypQXDkvkwmFNL6BmmqfqAa2/vL+J7w2O54HvH39+IjoilIJim8PfVFaGwfiNoCDhhtP78fmWXLbm1J6v/93+w/z4+QwGdY/iyRtHd8i1YwNNrDPSH5gQyT9+OLrG2gI20m8e+643fuX61D6EBQfx3Nc7a7QfOFzCjAVpdA53r2DVpY4VrEz7MyKpK1PG9mH+tFS6dqr5b9YlIrRJ03ONmwV941fio8K5bERPXsvYwxGnOFpRaQXTF6RRcLSc+dNS613ByrQ/keEhPHz1CPrF1a4m2iUixGbvNIMFfeN3bjqjH4WlFbyxMosKp0zCJmea3ym9Gl7BynQc0REhlFa4KKuwlbWawqpsGr8zqk83Tu3dlcVf72D93gL+tzmHh68+lfOHdm/rrhkvqlpkvrCknLio+p+kNjXZSN/4HRHhpjP6sflAES8t381t5w1kyti+bd0t42XREe4xq93MbRoL+sYvXXFaL/rEduIHo5O4e8LQtu6O8YGqkf5hy+s3iaV3jF+KCA3mk7vOqzHFz/gXG+k3j/2PMH7LAr5/Ox70baTfFPa/whjTIXU5lt6xkX5TWNA3xnRIlt5pHgv6xpgOKSrcf9M7L6ftYvHXO5q8CpwnLOgbYzqkkOAgOocF+91I/9ttB/m/N9bx4cZsfBDzLegbYzquaD8rxbA7r5gfv7CCvnGdeWLKKIKCvL9AjwV9Y0yH5U8LqRwpreCWxelUVLp49uaUWgXmvMWCvjGmw2rr8splFS7+u3YfFZUtq//jcil3vOwsBfnD0QxIiPJSD2uzoG+M6bDcI/22Se+oKr9+cx0/fmEFn23JadG5Hlm2mQ82HOD+y4ZxzpAEL/Wwbhb0jTEdVluO9Od/uYOX03cD8N3+wmafZ+nqvfzjk0yuT+nD9LOSvdS7+lnQN8Z0WG21kMqnm7J56J0NXHxKIj26RLDlQO2V2jyxZk8+v3h1NanJMTx45fAmL9/ZHBb0jTEdVlsspJKZXcRPX1zJ0B5deOS6kQzpEc3mA00f6WcfLmH24gzio8J56sYxhIW0Tji2oG+M6bBaeyGV/OIyZi1KIzw0iH/dPIbI8BCGJkaRmV1EpcvzSfUl5ZXc8lwGh0vK+dfNKcS34noAHgd9EQkWkZUi8rbzur+IfCsimSLysoiEOe3hzutMZ39ytXPc57RvEpGLvX0xxpjAUn0hFV8rr3Rx2wsr2JtfwjM3jSEppjMAgxOjKa1wsSuv2KPzqCr3vraG1bvzeeS6kQzr1cWX3a6lKSP924GN1V7/CXhUVQcBh4CZTvtM4JDT/qhzHCIyDJgMnAJMBJ4UkeCWdd8YE8haq/6OqvKbpev5autBHr76VMb0iz22b0hiNIDHKZ6n/7eNN1ft5a6LhjBxeA+f9LchHgV9EUkCLgOedV4LcAHwb+eQRcCVzvYk5zXO/vHO8ZOAJapaqqrbgUxgrDcuwhgTmFprIZXnvtnJC9/u4tZzB/CDMUk19g3u7p5Tv9mDGTwfbjjAn9//jstH9OQnFwzySV8b4+lI/zHgHqAqcRYH5Ktq1Y/XPUBvZ7s3sBvA2V/gHH+svY73GGNMk7XGSP/zLTn89j8buPDk7txz8Um19keGh5AU04nN2Q3P4Nm0v5Dbl6xkeK+u/OWa01plpk5dGg36InI5kK2qGa3QH0Rktoiki0h6Tk7LHngwxvg3Xy+ksi2niDkvrGBw9ygemzyK4Hpq4QxNjGZLA+mdvCNlzFqcRmR4CP+6OYVOYW2X2fZkpH8WcIWI7ACW4E7r/B3oJiJVyy0mAVnOdhbQB8DZ3xU4WL29jvcco6pzVTVFVVMSEnz7ZJoxpmPzxkIqJeWV5BaV1movKC5n1qJ0QoOD+NfNKcdKOddlcGI0W3OKKK+jHENZhYsfP5/BgcOlzL05hR5dI5rdV29oNOir6n2qmqSqybhvxH6sqjcAnwDXOIdNBd5ytpc6r3H2f6zuotBLgcnO7J7+wGBgudeuxBgTcFqa3jlaVsn1z3zN+X/5lE3VcvLllS7mvLiC3YeKefqmMfSJ7dzgeYYkRlFeqew8eKRGu6rywNL1fLs9jz//YAQj+3RrVj+9qSXz9H8J3Ckimbhz9vOc9nlAnNN+J3AvgKquB14BNgDvAXNUtbIFn2+MCXAtWUhFVfnFv1ezJquA4GBhxsI0cgrdI/4H397AF5m5/OGqU0lNjm3kTNVn8NTM6y/+eicvLd/FbecN5MpR7eMWZv2/r9RBVT8FPnW2t1HH7BtVLQGuref9DwEPNbWTxhhTl5YspPL4R5m8vWYfv5x4EmcOjOP6uV9zy+J0Lh/Rk8Vf72T2OQO4NqVP4ycCBnWPIkjcN2svPbUn4L4B/Lu3N3DhyYncPWFok/vnK00K+sYY0940ZyGVd9bs49EPN3P16N786NwBiAiPXT+SHz2/glW78xl/Und+ObH2TJ36RIQG0ze2M1uy3SmiqhvAgxKieGzySJ8shtJcVobBGNOhNXUhlTV78rnr1VWM6RfDw1efemzq5MThPXlw0imcPzSBxyaPrHemTn2GJEaz+UDRsRvAIcFBPDu14RvAbaF99cYYY5qoKeWV9xeUcMvidOIiw3nmpjGEh9ScOnnTGcncdEZys/oxJDGaj77LPnYD+PmZ4xq9AdwWbKRvjOnQPF1I5WhZJbcsTqeopIJnp3q/yNngxCgqXcoXmbn8/srhjBsQ59Xze4sFfWNMh+bJSN/lUu5+dTXr9hbw98mjOLmn94ucndq7KwDTz0rm+tS+Xj+/t1h6xxjToXmykMrfP9rCO2v3ce8lJ3HhsESf9GNAQhQf33UuyXGRPjm/t1jQN8Z0aI0tpLJ09V7+/tEWrhmTxK3nDPBpX3y5oLm3WHrHGNOhNbSQyqrdx5cjfOiq1lmOsL2zoG+M6dDqW0hlX8FRblmcTkJ0OE/fWHumTqCyoG+M6dDqqr9TXFbBrEXpHC2rZN7UVOJacTnC9s6CvjGmQztxIRWXS7nz5dVs3HeYJ6aMYmiP6LbsXrtjQd8Y06GdONL/27JNvLd+P7+69GTOP6l7W3atXbKgb4zp0KovpPLGyj3885OtXJ/Sh5ln92/jnrVPNmXTGNOhVS2k8r/NObyWkcW4/rE8eKXN1KmPjfSNMR1a1Uj/peW76dktgqdvHENYiIW2+tjfjDGmQ6uqYhkdEcK8qanERIa1cY/aN0vvGGM6tJDgIO66aAinD4xjUPf2/0RsW7Ogb4zp8H46fnBbd6HDsPSOMcYEEAv6xhgTQCzoG2NMALGgb4wxAaTRoC8iESKyXERWi8h6Efmt0z5eRFaIyCoR+UJEBjnt4SLysohkisi3IpJc7Vz3Oe2bRORiX12UMcaYunky0i8FLlDV04CRwEQROR14CrhBVUcCLwL3O8fPBA6p6iDgUeBPACIyDJgMnAJMBJ4UEat1aowxrajRoK9uRc7LUOdLna+qhSa7Anud7UnAImf738B4cT8PPQlYoqqlqrodyATGeuUqjDHGeMSjefrOiDwDGAT8U1W/FZFZwLsichQ4DJzuHN4b2A2gqhUiUgDEOe3fVDvtHqftxM+aDcwG6Nu3/S4ubIwxHZFHQV9VK4GRItINeENEhgN3AJc6PwB+ATwCzGpph1R1LjAXQERyRGRnE08RD+S2tB8dTCBeMwTmdQfiNUNgXndLrrlffTua9ESuquaLyCfAJcBpqvqts+tl4D1nOwvoA+wRkRDcqZ+D1dqrJDltDX1eQlP6ByAi6aqa0tT3dWSBeM0QmNcdiNcMgXndvrpmT2bvJDgjfESkE3ARsBHoKiJDnMOq2gCWAlOd7WuAj1VVnfbJzuye/sBgYLnXrsQYY0yjPBnp9wQWOXn9IOAVVX1bRG4BXhMRF3AImOEcPw94TkQygTzcM3ZQ1fUi8gqwAagA5jhpI2OMMa2k0aCvqmuAUXW0vwG8UUd7CXBtPed6CHio6d1skrk+Pn97FIjXDIF53YF4zRCY1+2TaxZ35sUYY0wgsDIMxhgTQCzoG2NMAPGboC8iE52aPpkicm9b98ebRGS+iGSLyLpqbbEiskxEtjh/xjjtIiKPO38Pa0RkdNv1vPlEpI+IfCIiG5yaT7c77X573Q3Uuerv1LHKdOpahTnt9da56ohEJFhEVorI285rv75uEdkhImud+mXpTpvPv7/9Iug7M4v+ifv5gWHAFKfWj79YiLteUXX3Ah+p6mDgI+c1uP8OBjtfs3HXSOqIKoC7VHUY7qe95zj/pv583fXVufoT8KhTz+oQ7vpWUE+dqw7sdo5P/YbAuO7zVXVktfn4vv/+VtUO/wWcAbxf7fV9wH1t3S8vX2MysK7a601AT2e7J7DJ2X4GmFLXcR35C3gL9/MgAXHdQGdgBTAO91OZIU77se914H3gDGc7xDlO2rrvzbzeJCfIXQC8DYi/XzewA4g/oc3n399+MdKnWr0fR511ffxMoqruc7b3A4nOtt/9XTi/vo8CvsXPr9tJcawCsoFlwFYgX1UrnEOqX1eNOldAVZ2rjugx4B7A5byOw/+vW4EPRCTDqTkGrfD9bQuj+wFVVRHxy7m3IhIFvAb8XFUPuwu2uvnjdesJda6Ak9q4Sz4nIpcD2aqaISLntXV/WtHZqpolIt2BZSLyXfWdvvr+9peRfpPr+viBAyLSE8D5M9tp95u/CxEJxR3wX1DV151mv79ucNe5Aj7Bndbo5tSxgprXdeyapWadq47mLOAKEdkBLMGd4vk7fn7dqprl/JmN+wf8WFrh+9tfgn4aMNi52x+Gu/TD0jbuk69Vr3E0FXfOu6r9Zudu/+lAQbVfFzsMcQ/p5wEbVfWRarv89rql/jpXn+CuYwW1r7muOlcdiqrep6pJqpqM+//ux6p6A3583SISKSLRVdvABGAdrfH93dY3M7x4U+RSYDPuHOj/tXV/vHxtLwH7gHLcubyZuHOYHwFbgA+BWOdYwT2TaSuwFkhp6/4385rPxp3zXAOscr4u9efrBkYAK51rXgf8P6d9AO7ihJnAq0C40x7hvM509g9o62vwwt/BecDb/n7dzrWtdr7WV8Ws1vj+tjIMxhgTQPwlvWOMMcYDFvSNMSaAWNA3xpgAYkHfGGMCiAV9Y4wJIBb0jTEmgFjQN8aYAPL/AdJRK5iS85t5AAAAAElFTkSuQmCC\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": 38,
"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
}