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import mesa | ||
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import streamlit as st | ||
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import time | ||
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import pandas as pd | ||
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import altair as alt | ||
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import plotly.express as px | ||
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import numpy as np | ||
from conways_game_of_life.model import ConwaysGameOfLife | ||
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import pandas as pd | ||
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import random | ||
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model = st.title("Boltzman Wealth Model") | ||
num_ticks = st.slider( | ||
"Select number of Simulation Runs", min_value=1, max_value=100, value=50 | ||
) | ||
height = st.slider("Select Grid Height", min_value=10, max_value=100, step=10, value=15) | ||
width = st.slider("Select Grid Width", min_value=10, max_value=100, step=10, value=20) | ||
model = ConwaysGameOfLife(height, width) | ||
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col1, col2, col3 = st.columns(3) | ||
status_text = st.empty() | ||
# step_mode = st.checkbox('Run Step-by-Step') | ||
run = st.button("Run Simulation") | ||
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if run: | ||
tick = time.time() | ||
step = 0 | ||
# init grid | ||
df_grid = pd.DataFrame() | ||
agent_counts = np.zeros((model.grid.width, model.grid.height)) | ||
for x in range(width): | ||
for y in range(height): | ||
df_grid = pd.concat( | ||
[df_grid, pd.DataFrame({"x": [x], "y": [y], "state": [0]})], | ||
ignore_index=True, | ||
) | ||
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heatmap = ( | ||
alt.Chart(df_grid) | ||
.mark_point(size=100) | ||
.encode(x="x", y="y", color=alt.Color("state")) | ||
.interactive() | ||
.properties(width=800, height=600) | ||
) | ||
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# init progress bar | ||
my_bar = st.progress(0, text="Simulation Progress") # progress | ||
placeholder = st.empty() | ||
st.subheader("Agent Grid") | ||
chart = st.altair_chart(heatmap, use_container_width=True) | ||
color_scale = alt.Scale(domain=[0, 1], range=["red", "yellow"]) | ||
for i in range(num_ticks): | ||
model.step() | ||
my_bar.progress((i / num_ticks), text="Simulation progress") | ||
placeholder.text("Step = %d" % i) | ||
for contents, x, y in model.grid.coord_iter(): | ||
# print('x:',x,'y:',y, 'state:',contents) | ||
selected_row = df_grid[(df_grid["x"] == x) & (df_grid["y"] == y)] | ||
df_grid.loc[ | ||
selected_row.index, "state" | ||
] = contents.state # random.choice([1,2]) | ||
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heatmap = ( | ||
alt.Chart(df_grid) | ||
.mark_circle(size=100) | ||
.encode(x="x", y="y", color=alt.Color("state", scale=color_scale)) | ||
.interactive() | ||
.properties(width=800, height=600) | ||
) | ||
chart.altair_chart(heatmap) | ||
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time.sleep(0.1) | ||
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tock = time.time() | ||
st.success(f"Simulation completed in {tock - tick:.2f} secs") |