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b8011837e9
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d00fe9c315
111
main.py
111
main.py
@ -1,111 +0,0 @@
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import io
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import logging
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import itertools
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import json
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import random
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from collections import Counter
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from copy import deepcopy
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from datetime import datetime
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from pathlib import Path
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import matplotlib.pyplot as plt
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import numpy as np
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import uvicorn
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from fastapi import FastAPI, Response
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse
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app = FastAPI(title="Speckles API", root_path="/images")
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origins = [
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"http://localhost",
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"http://localhost:3000",
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"https://localhost",
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"https://0124816.xyz",
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"http://0124816.xyz:3001",
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]
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app.add_middleware(
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CORSMiddleware,
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allow_origins=origins,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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MEDIA_TYPES = {
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"png": "image/png",
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"jpeg": "image/jpeg",
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"jpg": "image/jpeg",
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"svg": "image/svg+xml",
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"pdf": "application/pdf",
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}
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@app.get("/speckles/")
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def make_wallpaper(
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speckle_colours: str,
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density: float | None = 0.12,
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size: float | None = 3,
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fileformat: str = "svg",
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orientation: str | None = "landscape",
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):
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if not fileformat in MEDIA_TYPES:
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return
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speckle_colours = speckle_colours.split(",")
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background = speckle_colours.pop(0)
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if orientation == "portrait":
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x, y = (1080, 1920)
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elif orientation == "landscape":
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x, y = (1920, 1080)
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elif "x" in orientation:
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resolution = orientation.split("x")
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if len(resolution) !=2 :
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logging.critical("input resolution has more or less than 2 dimensions")
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return
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x,y = resolution
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if all([x.isdigit(), y.isdigit()]):
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x,y = int(x), int(y)
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else:
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return
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else:
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x, y = (1920, 1080)
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speckles_per_colour = int(x / 128 * y / 128 * density)
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fig, ax = plt.subplots(figsize=(x / 120, y / 120), facecolor=background)
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ax.set_facecolor(background)
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[spine.set_color(background) for spine in ax.spines.values()]
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ax.set_xticks([])
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ax.set_yticks([])
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ax.margins(0, 0)
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for color, size in itertools.product(
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speckle_colours,
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np.logspace(0, size, 10, base=np.exp(2)),
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):
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ax.scatter(
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[random.random() * x / 8 for _ in range(speckles_per_colour)],
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[random.random() * y / 8 for _ in range(speckles_per_colour)],
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c=color,
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s=size,
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)
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fig.tight_layout()
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# plt.xlim(0, x)
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# plt.ylim(0, y)
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# plt.axis("off")
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buf = io.BytesIO()
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fig.savefig(
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buf,
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format=fileformat,
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dpi=128,
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bbox_inches="tight",
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pad_inches=0,
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)
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buf.seek(0)
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return StreamingResponse(content=buf, media_type=MEDIA_TYPES[fileformat])
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buf.close()
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if __name__ == "__main__":
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uvicorn.run("main:app", workers=2, port=8099, reload=False)
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73
speckles.py
73
speckles.py
@ -8,17 +8,44 @@ from pathlib import Path
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import matplotlib.pyplot as plt
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import numpy as np
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palettes = [
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{ "colours": ["#eee4ab", "#e5cb9f", "#99c4c8", "#68a7ad"], "votes": 100000 },
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{ "colours": ["#e4d192", "#cba0ae", "#af7ab3", "#80558c"], "votes": 100000 },
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{ "colours": ["#eeeeee", "#e1d4bb", "#cbb279", "#537188"], "votes": 100000 },
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{ "colours": ["#c0dbea", "#ba90c6", "#e8a0bf", "#fdf4f5"], "votes": 100000 },
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{ "colours": ["#f5ffc9", "#b3e5be", "#a86464", "#804674"], "votes": 100000 },
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{ "colours": ["#ffde7d", "#f6416c", "#f8f3d4", "#00b8a9"], "votes": 100000 },
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{ "colours": ["#53354a", "#903749", "#e84545", "#2b2e4a"], "votes": 100000 },
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{ "colours": ["#967e76", "#d7c0ae", "#eee3cb", "#b7c4cf"], "votes": 100000 },
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{ "colours": ["#fc5185", "#f5f5f5", "#3fc1c9", "#364f6b"], "votes": 100000 },
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{ "colours": ["#eaeaea", "#ff2e63", "#252a34", "#08d9d6"], "votes": 100000 },
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{ "colours": ["#eeeeee", "#00adb5", "#393e46", "#222831"], "votes": 100000 },
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{ "colours": ["#2cd3e1", "#a459d1", "#f266ab", "#ffb84c"], "votes": 100000 },
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{ "colours": ["#ffe194", "#e8f6ef", "#1b9c85", "#4c4c6d"], "votes": 100000 },
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{ "colours": ["#146c94", "#19a7ce", "#b0daff", "#feff86"], "votes": 100000 },
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{ "colours": ["#4c3d3d", "#c07f00", "#ffd95a", "#fff7d4"], "votes": 100000 },
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{ "colours": ["#8bacaa", "#b04759", "#e76161", "#f99b7d"], "votes": 100000 },
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{ "colours": ["#146c94", "#19a7ce", "#afd3e2", "#f6f1f1"], "votes": 100000 },
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{ "colours": ["#9ba4b5", "#212a3e", "#394867", "#f1f6f9"], "votes": 100000 },
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{ "colours": ["#00ffca", "#05bfdb", "#088395", "#0a4d68"], "votes": 100000 },
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{ "colours": ["#7c9070", "#9ca777", "#fee8b0", "#f97b22"], "votes": 100000 },
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{ "colours": ["#002a19", "#000000", "#ffffff", "#e0512f"], "votes": 100000 },
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]
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palette_files = ["colorhunt.json", "coolors.json"]
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for palette_file in palette_files:
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with open(palette_file, "rt") as f:
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palettes += json.load(f)
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def make_wallpaper(
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background: str,
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speckle_colours: list[str],
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filename: str | Path,
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density: int = 0.6,
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density: int = 20,
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dimensions: tuple[float | int, float | int] = (1920, 1080),
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) -> None:
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x, y = dimensions
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speckles_per_colour = x / 100 * y / 100 * density
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fig, ax = plt.subplots(figsize=(x / 100, y / 100), facecolor=background)
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ax.set_facecolor(background)
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[spine.set_color(background) for spine in ax.spines.values()]
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@ -31,8 +58,8 @@ def make_wallpaper(
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np.logspace(1, 6, 8, base=2),
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):
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plt.scatter(
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[random.random() * x / 8 for _ in range(speckles_per_colour)],
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[random.random() * y / 8 for _ in range(speckles_per_colour)],
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[random.random() * x / 8 for _ in range(density)],
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[random.random() * y / 8 for _ in range(density)],
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c=color,
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s=size,
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)
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@ -74,42 +101,8 @@ def night_sky(palette):
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)
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if __name__ == "__main__":
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palettes = [
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{"colours": ["#eee4ab", "#e5cb9f", "#99c4c8", "#68a7ad"], "votes": 100000},
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{"colours": ["#e4d192", "#cba0ae", "#af7ab3", "#80558c"], "votes": 100000},
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{"colours": ["#eeeeee", "#e1d4bb", "#cbb279", "#537188"], "votes": 100000},
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{"colours": ["#c0dbea", "#ba90c6", "#e8a0bf", "#fdf4f5"], "votes": 100000},
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{"colours": ["#f5ffc9", "#b3e5be", "#a86464", "#804674"], "votes": 100000},
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{"colours": ["#ffde7d", "#f6416c", "#f8f3d4", "#00b8a9"], "votes": 100000},
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{"colours": ["#53354a", "#903749", "#e84545", "#2b2e4a"], "votes": 100000},
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{"colours": ["#967e76", "#d7c0ae", "#eee3cb", "#b7c4cf"], "votes": 100000},
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{"colours": ["#fc5185", "#f5f5f5", "#3fc1c9", "#364f6b"], "votes": 100000},
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{"colours": ["#eaeaea", "#ff2e63", "#252a34", "#08d9d6"], "votes": 100000},
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{"colours": ["#eeeeee", "#00adb5", "#393e46", "#222831"], "votes": 100000},
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{"colours": ["#2cd3e1", "#a459d1", "#f266ab", "#ffb84c"], "votes": 100000},
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{"colours": ["#ffe194", "#e8f6ef", "#1b9c85", "#4c4c6d"], "votes": 100000},
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{"colours": ["#146c94", "#19a7ce", "#b0daff", "#feff86"], "votes": 100000},
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{"colours": ["#4c3d3d", "#c07f00", "#ffd95a", "#fff7d4"], "votes": 100000},
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{"colours": ["#8bacaa", "#b04759", "#e76161", "#f99b7d"], "votes": 100000},
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{"colours": ["#146c94", "#19a7ce", "#afd3e2", "#f6f1f1"], "votes": 100000},
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{"colours": ["#9ba4b5", "#212a3e", "#394867", "#f1f6f9"], "votes": 100000},
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{"colours": ["#00ffca", "#05bfdb", "#088395", "#0a4d68"], "votes": 100000},
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{"colours": ["#7c9070", "#9ca777", "#fee8b0", "#f97b22"], "votes": 100000},
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{"colours": ["#002a19", "#000000", "#ffffff", "#e0512f"], "votes": 100000},
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]
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palette_files = ["colorhunt.json"]
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for palette_file in palette_files:
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with open(palette_file, "rt") as f:
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palettes += json.load(f)
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print(len(palettes))
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palettes = [
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palette["colours"]
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for palette in palettes
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if palette["votes"] > 30000 or len(palette["colours"]) > 5
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]
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palettes = [palette["colours"] for palette in palettes if palette["votes"] > 30000 or len(palette["colours"]) > 5]
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print(len(palettes))
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for palette in palettes:
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night_sky(palette)
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