Apply prettier to css, html, js, md, ts, and yml (#1249)

* Apply prettier to css, js, html, md, ts, and yml

As a followup I will add prettier to the .pre-commit config.
This patch is 100% generated by prettier.
I used a forked version of prettier that understands the
py-script tag.
See https://github.com/hoodmane/pyscript-prettier-precommit
for more info.

* Apply old pre-commit

* Revert some problems

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Revert some changes

* More changes

* Fix pre-commit

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Hood Chatham
2023-03-06 15:20:21 +01:00
committed by GitHub
parent 7ffe6a598e
commit 08f34f748b
108 changed files with 4571 additions and 3802 deletions

View File

@@ -1,8 +1,11 @@
<html>
<head>
<title>Visualization of Mandelbrot, Julia and Newton sets with NumPy and HTML5 canvas</title>
<meta charset="utf-8">
<link rel="icon" type="image/x-icon" href="./favicon.png">
<title>
Visualization of Mandelbrot, Julia and Newton sets with NumPy and HTML5
canvas
</title>
<meta charset="utf-8" />
<link rel="icon" type="image/x-icon" href="./favicon.png" />
<link rel="stylesheet" href="https://pyscript.net/latest/pyscript.css" />
<script defer src="https://pyscript.net/latest/pyscript.js"></script>
<link rel="stylesheet" href="./assets/css/examples.css" />
@@ -27,19 +30,22 @@
}
}
</style>
</head>
<body>
<nav class="navbar" style="background-color: #000000;">
<div class="app-header">
<a href="/">
<img src="./logo.png" class="logo">
</a>
<a class="title" href="" style="color: #f0ab3c;">Fractals with NumPy and canvas</a>
</div>
</nav>
<section class="pyscript">
<div style="display: flex; flex-direction: column; gap: 1em; width: 600px">
</head>
<body>
<nav class="navbar" style="background-color: #000000">
<div class="app-header">
<a href="/">
<img src="./logo.png" class="logo" />
</a>
<a class="title" href="" style="color: #f0ab3c"
>Fractals with NumPy and canvas</a
>
</div>
</nav>
<section class="pyscript">
<div
style="display: flex; flex-direction: column; gap: 1em; width: 600px"
>
<div id="mandelbrot">
<div style="text-align: center">Mandelbrot set</div>
<div>
@@ -57,25 +63,63 @@
<div id="newton">
<div style="text-align: center">Newton set</div>
<fieldset style="display: flex; flex-direction: row; gap: 1em">
<div><span style="white-space: pre">p(z) = </span><input id="poly" type="text" value="z**3 - 2*z + 2"></div>
<div><span style="white-space: pre">a = </span><input id="coef" type="text" value="1" style="width: 40px"></div>
<div>
<span style="white-space: pre">p(z) = </span
><input id="poly" type="text" value="z**3 - 2*z + 2" />
</div>
<div>
<span style="white-space: pre">a = </span
><input id="coef" type="text" value="1" style="width: 40px" />
</div>
<div style="display: flex; flex-direction: row">
<span style="white-space: pre">x = [</span>
<input id="x0" type="text" value="-2.5" style="width: 80px; text-align: right">
<input
id="x0"
type="text"
value="-2.5"
style="width: 80px; text-align: right"
/>
<span style="white-space: pre">, </span>
<input id="x1" type="text" value="2.5" style="width: 80px; text-align: right">
<input
id="x1"
type="text"
value="2.5"
style="width: 80px; text-align: right"
/>
<span style="white-space: pre">]</span>
</div>
<div style="display: flex; flex-direction: row">
<span style="white-space: pre">y = [</span>
<input id="y0" type="text" value="-5.0" style="width: 80px; text-align: right">
<input
id="y0"
type="text"
value="-5.0"
style="width: 80px; text-align: right"
/>
<span style="white-space: pre">, </span>
<input id="y1" type="text" value="5.0" style="width: 80px; text-align: right">
<input
id="y1"
type="text"
value="5.0"
style="width: 80px; text-align: right"
/>
<span style="white-space: pre">]</span>
</div>
<div style="display: flex; flex-direction: row; gap: 1em">
<div style="white-space: pre"><input type="radio" id="conv" name="type" value="convergence" checked> convergence</div>
<div style="white-space: pre"><input type="radio" id="iter" name="type" value="iterations"> iterations</div>
<div style="white-space: pre">
<input
type="radio"
id="conv"
name="type"
value="convergence"
checked
/>
convergence
</div>
<div style="white-space: pre">
<input type="radio" id="iter" name="type" value="iterations" />
iterations
</div>
</div>
</fieldset>
<div>
@@ -106,236 +150,236 @@
</py-config>
<py-script>
from pyodide.ffi import to_js, create_proxy
from pyodide.ffi import to_js, create_proxy
import numpy as np
import sympy
import numpy as np
import sympy
from palettes import Magma256
from fractals import mandelbrot, julia, newton
from palettes import Magma256
from fractals import mandelbrot, julia, newton
from js import (
console,
document,
devicePixelRatio,
ImageData,
Uint8ClampedArray,
CanvasRenderingContext2D as Context2d,
requestAnimationFrame,
)
from js import (
console,
document,
devicePixelRatio,
ImageData,
Uint8ClampedArray,
CanvasRenderingContext2D as Context2d,
requestAnimationFrame,
)
def prepare_canvas(width: int, height: int, canvas: Element) -> Context2d:
ctx = canvas.getContext("2d")
def prepare_canvas(width: int, height: int, canvas: Element) -> Context2d:
ctx = canvas.getContext("2d")
canvas.style.width = f"{width}px"
canvas.style.height = f"{height}px"
canvas.style.width = f"{width}px"
canvas.style.height = f"{height}px"
canvas.width = width
canvas.height = height
canvas.width = width
canvas.height = height
ctx.clearRect(0, 0, width, height)
ctx.clearRect(0, 0, width, height)
return ctx
return ctx
def color_map(array: np.array, palette: np.array) -> np.array:
size, _ = palette.shape
index = (array/array.max()*(size - 1)).round().astype("uint8")
def color_map(array: np.array, palette: np.array) -> np.array:
size, _ = palette.shape
index = (array/array.max()*(size - 1)).round().astype("uint8")
width, height = array.shape
image = np.full((width, height, 4), 0xff, dtype=np.uint8)
image[:, :, :3] = palette[index]
width, height = array.shape
image = np.full((width, height, 4), 0xff, dtype=np.uint8)
image[:, :, :3] = palette[index]
return image
return image
def draw_image(ctx: Context2d, image: np.array) -> None:
data = Uint8ClampedArray.new(to_js(image.tobytes()))
width, height, _ = image.shape
image_data = ImageData.new(data, width, height)
ctx.putImageData(image_data, 0, 0)
def draw_image(ctx: Context2d, image: np.array) -> None:
data = Uint8ClampedArray.new(to_js(image.tobytes()))
width, height, _ = image.shape
image_data = ImageData.new(data, width, height)
ctx.putImageData(image_data, 0, 0)
width, height = 600, 600
width, height = 600, 600
async def draw_mandelbrot() -> None:
spinner = document.querySelector("#mandelbrot .loading")
canvas = document.querySelector("#mandelbrot canvas")
async def draw_mandelbrot() -> None:
spinner = document.querySelector("#mandelbrot .loading")
canvas = document.querySelector("#mandelbrot canvas")
spinner.style.display = ""
canvas.style.display = "none"
spinner.style.display = ""
canvas.style.display = "none"
ctx = prepare_canvas(width, height, canvas)
ctx = prepare_canvas(width, height, canvas)
console.log("Computing Mandelbrot set ...")
console.time("mandelbrot")
iters = mandelbrot(width, height)
console.timeEnd("mandelbrot")
console.log("Computing Mandelbrot set ...")
console.time("mandelbrot")
iters = mandelbrot(width, height)
console.timeEnd("mandelbrot")
image = color_map(iters, Magma256)
draw_image(ctx, image)
image = color_map(iters, Magma256)
draw_image(ctx, image)
spinner.style.display = "none"
canvas.style.display = "block"
spinner.style.display = "none"
canvas.style.display = "block"
async def draw_julia() -> None:
spinner = document.querySelector("#julia .loading")
canvas = document.querySelector("#julia canvas")
async def draw_julia() -> None:
spinner = document.querySelector("#julia .loading")
canvas = document.querySelector("#julia canvas")
spinner.style.display = ""
canvas.style.display = "none"
spinner.style.display = ""
canvas.style.display = "none"
ctx = prepare_canvas(width, height, canvas)
ctx = prepare_canvas(width, height, canvas)
console.log("Computing Julia set ...")
console.time("julia")
iters = julia(width, height)
console.timeEnd("julia")
console.log("Computing Julia set ...")
console.time("julia")
iters = julia(width, height)
console.timeEnd("julia")
image = color_map(iters, Magma256)
draw_image(ctx, image)
image = color_map(iters, Magma256)
draw_image(ctx, image)
spinner.style.display = "none"
canvas.style.display = "block"
spinner.style.display = "none"
canvas.style.display = "block"
def ranges():
x0_in = document.querySelector("#x0")
x1_in = document.querySelector("#x1")
y0_in = document.querySelector("#y0")
y1_in = document.querySelector("#y1")
def ranges():
x0_in = document.querySelector("#x0")
x1_in = document.querySelector("#x1")
y0_in = document.querySelector("#y0")
y1_in = document.querySelector("#y1")
xr = (float(x0_in.value), float(x1_in.value))
yr = (float(y0_in.value), float(y1_in.value))
xr = (float(x0_in.value), float(x1_in.value))
yr = (float(y0_in.value), float(y1_in.value))
return xr, yr
return xr, yr
current_image = None
async def draw_newton() -> None:
spinner = document.querySelector("#newton .loading")
canvas = document.querySelector("#newton canvas")
current_image = None
async def draw_newton() -> None:
spinner = document.querySelector("#newton .loading")
canvas = document.querySelector("#newton canvas")
spinner.style.display = ""
canvas.style.display = "none"
spinner.style.display = ""
canvas.style.display = "none"
ctx = prepare_canvas(width, height, canvas)
ctx = prepare_canvas(width, height, canvas)
console.log("Computing Newton set ...")
console.log("Computing Newton set ...")
poly_in = document.querySelector("#poly")
coef_in = document.querySelector("#coef")
conv_in = document.querySelector("#conv")
iter_in = document.querySelector("#iter")
poly_in = document.querySelector("#poly")
coef_in = document.querySelector("#coef")
conv_in = document.querySelector("#conv")
iter_in = document.querySelector("#iter")
xr, yr = ranges()
xr, yr = ranges()
# z**3 - 1
# z**8 + 15*z**4 - 16
# z**3 - 2*z + 2
# z**3 - 1
# z**8 + 15*z**4 - 16
# z**3 - 2*z + 2
expr = sympy.parse_expr(poly_in.value)
coeffs = [ complex(c) for c in reversed(sympy.Poly(expr, sympy.Symbol("z")).all_coeffs()) ]
poly = np.polynomial.Polynomial(coeffs)
expr = sympy.parse_expr(poly_in.value)
coeffs = [ complex(c) for c in reversed(sympy.Poly(expr, sympy.Symbol("z")).all_coeffs()) ]
poly = np.polynomial.Polynomial(coeffs)
coef = complex(sympy.parse_expr(coef_in.value))
coef = complex(sympy.parse_expr(coef_in.value))
console.time("newton")
iters, roots = newton(width, height, p=poly, a=coef, xr=xr, yr=yr)
console.timeEnd("newton")
console.time("newton")
iters, roots = newton(width, height, p=poly, a=coef, xr=xr, yr=yr)
console.timeEnd("newton")
if conv_in.checked:
n = poly.degree() + 1
k = int(len(Magma256)/n)
if conv_in.checked:
n = poly.degree() + 1
k = int(len(Magma256)/n)
colors = Magma256[::k, :][:n]
colors[0, :] = [255, 0, 0] # red: no convergence
colors = Magma256[::k, :][:n]
colors[0, :] = [255, 0, 0] # red: no convergence
image = color_map(roots, colors)
else:
image = color_map(iters, Magma256)
image = color_map(roots, colors)
else:
image = color_map(iters, Magma256)
global current_image
current_image = image
draw_image(ctx, image)
global current_image
current_image = image
draw_image(ctx, image)
spinner.style.display = "none"
canvas.style.display = "block"
spinner.style.display = "none"
canvas.style.display = "block"
handler = create_proxy(lambda _event: draw_newton())
document.querySelector("#newton fieldset").addEventListener("change", handler)
handler = create_proxy(lambda _event: draw_newton())
document.querySelector("#newton fieldset").addEventListener("change", handler)
canvas = document.querySelector("#newton canvas")
canvas = document.querySelector("#newton canvas")
is_selecting = False
init_sx, init_sy = None, None
sx, sy = None, None
async def mousemove(event):
global is_selecting
global init_sx
global init_sy
global sx
global sy
is_selecting = False
init_sx, init_sy = None, None
sx, sy = None, None
async def mousemove(event):
global is_selecting
global init_sx
global init_sy
global sx
global sy
def invert(sx, source_range, target_range):
source_start, source_end = source_range
target_start, target_end = target_range
factor = (target_end - target_start)/(source_end - source_start)
offset = -(factor * source_start) + target_start
return (sx - offset) / factor
def invert(sx, source_range, target_range):
source_start, source_end = source_range
target_start, target_end = target_range
factor = (target_end - target_start)/(source_end - source_start)
offset = -(factor * source_start) + target_start
return (sx - offset) / factor
bds = canvas.getBoundingClientRect()
event_sx, event_sy = event.clientX - bds.x, event.clientY - bds.y
bds = canvas.getBoundingClientRect()
event_sx, event_sy = event.clientX - bds.x, event.clientY - bds.y
ctx = canvas.getContext("2d")
ctx = canvas.getContext("2d")
pressed = event.buttons == 1
if is_selecting:
if not pressed:
xr, yr = ranges()
pressed = event.buttons == 1
if is_selecting:
if not pressed:
xr, yr = ranges()
x0 = invert(init_sx, xr, (0, width))
x1 = invert(sx, xr, (0, width))
y0 = invert(init_sy, yr, (0, height))
y1 = invert(sy, yr, (0, height))
x0 = invert(init_sx, xr, (0, width))
x1 = invert(sx, xr, (0, width))
y0 = invert(init_sy, yr, (0, height))
y1 = invert(sy, yr, (0, height))
document.querySelector("#x0").value = x0
document.querySelector("#x1").value = x1
document.querySelector("#y0").value = y0
document.querySelector("#y1").value = y1
document.querySelector("#x0").value = x0
document.querySelector("#x1").value = x1
document.querySelector("#y0").value = y0
document.querySelector("#y1").value = y1
is_selecting = False
init_sx, init_sy = None, None
sx, sy = init_sx, init_sy
is_selecting = False
init_sx, init_sy = None, None
sx, sy = init_sx, init_sy
await draw_newton()
else:
ctx.save()
ctx.clearRect(0, 0, width, height)
draw_image(ctx, current_image)
sx, sy = event_sx, event_sy
ctx.beginPath()
ctx.rect(init_sx, init_sy, sx - init_sx, sy - init_sy)
ctx.fillStyle = "rgba(255, 255, 255, 0.4)"
ctx.strokeStyle = "rgba(255, 255, 255, 1.0)"
ctx.fill()
ctx.stroke()
ctx.restore()
else:
if pressed:
is_selecting = True
init_sx, init_sy = event_sx, event_sy
sx, sy = init_sx, init_sy
await draw_newton()
else:
ctx.save()
ctx.clearRect(0, 0, width, height)
draw_image(ctx, current_image)
sx, sy = event_sx, event_sy
ctx.beginPath()
ctx.rect(init_sx, init_sy, sx - init_sx, sy - init_sy)
ctx.fillStyle = "rgba(255, 255, 255, 0.4)"
ctx.strokeStyle = "rgba(255, 255, 255, 1.0)"
ctx.fill()
ctx.stroke()
ctx.restore()
else:
if pressed:
is_selecting = True
init_sx, init_sy = event_sx, event_sy
sx, sy = init_sx, init_sy
canvas.addEventListener("mousemove", create_proxy(mousemove))
canvas.addEventListener("mousemove", create_proxy(mousemove))
import asyncio
import asyncio
async def main():
_ = await asyncio.gather(
draw_mandelbrot(),
draw_julia(),
draw_newton(),
)
async def main():
_ = await asyncio.gather(
draw_mandelbrot(),
draw_julia(),
draw_newton(),
)
asyncio.ensure_future(main())
asyncio.ensure_future(main())
</py-script>
</py-tutor>
</section>
</section>
</body>
</html>